<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Aging</journal-id><journal-id journal-id-type="publisher-id">aging</journal-id><journal-id journal-id-type="index">31</journal-id><journal-title>JMIR Aging</journal-title><abbrev-journal-title>JMIR Aging</abbrev-journal-title><issn pub-type="epub">2561-7605</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v9i1e73802</article-id><article-id pub-id-type="doi">10.2196/73802</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Global, Regional, and National Burden of Falls Among Older Adults Aged 65 Years and Above: Secondary Data Analysis of the Global Burden of Disease Study 2021</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Zhang</surname><given-names>Ze</given-names></name><degrees>BM</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Diao</surname><given-names>Yingying</given-names></name><degrees>BSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Fu</surname><given-names>Mingwang</given-names></name><degrees>BM</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Han</surname><given-names>Wantong</given-names></name><degrees>BM</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhou</surname><given-names>Haoran</given-names></name><degrees>BM</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Fan</surname><given-names>Ru</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Xu</surname><given-names>Biyun</given-names></name><degrees>MSc, PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Chen</surname><given-names>Bingwei</given-names></name><degrees>MSc, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Epidemiology and Biostatistics, School of Public Health, Southeast University</institution><addr-line>Southeast University Dingjiaqiao Campus, No. 87 Dingjiaqiao, Gulou District</addr-line><addr-line>Nanjing</addr-line><country>China</country></aff><aff id="aff2"><institution>Medical Statistics and Analysis Center, Nanjing Drum Tower Hospital</institution><addr-line>Nanjing</addr-line><country>China</country></aff><aff id="aff3"><institution>Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University</institution><addr-line>Nanjing</addr-line><country>China</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Jiang</surname><given-names>Yun</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Richardson</surname><given-names>Julie</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Tanabe</surname><given-names>Yuriko</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Bingwei Chen, MSc, PhD, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Southeast University Dingjiaqiao Campus, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009, China, 86 83272562; <email>drchenbw@seu.edu.cn</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>10</day><month>4</month><year>2026</year></pub-date><volume>9</volume><elocation-id>e73802</elocation-id><history><date date-type="received"><day>12</day><month>03</month><year>2025</year></date><date date-type="rev-recd"><day>07</day><month>02</month><year>2026</year></date><date date-type="accepted"><day>20</day><month>03</month><year>2026</year></date></history><copyright-statement>&#x00A9; Ze Zhang, Yingying Diao, Mingwang Fu, Wantong Han, Haoran Zhou, Ru Fan, Biyun Xu, Bingwei Chen. Originally published in JMIR Aging (<ext-link ext-link-type="uri" xlink:href="https://aging.jmir.org">https://aging.jmir.org</ext-link>), 10.4.2026. </copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://aging.jmir.org">https://aging.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://aging.jmir.org/2026/1/e73802"/><abstract><sec><title>Background</title><p>Falls are a leading cause of injury, disability, and death among older adults, posing significant public health challenges. However, comprehensive global analyses of fall-related burdens in older populations remain scarce.</p></sec><sec><title>Objective</title><p>This study aimed to explore the patterns and distribution of the global, regional, and national burden of falls among adults aged 65 years and older.</p></sec><sec sec-type="methods"><title>Methods</title><p>Data from the Global Burden of Disease study 2021 were used to assess the overall, disability, and mortality burden of falls among adults aged 65 years and older. Age-standardized rates of disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost were calculated to compare burdens across countries. Health inequalities were evaluated via the slope index of inequality and the concentration index. Frontier analysis identified optimal burden levels by sociodemographic index (SDI). Bayesian age-period-cohort models projected trends up to 2050.</p></sec><sec sec-type="results"><title>Results</title><p>DALY age-standardized rates showed a U-shaped distribution across SDI regions: lower-SDI countries faced higher mortality burdens, while higher-SDI countries had elevated disability burdens. Despite an increase in absolute overall burden inequality from 1990 to 2021, absolute inequalities in YLDs and years of life lost declined, with DALYs and YLDs exhibiting relatively more balanced distributions. Frontier analysis pinpointed countries with the greatest burden reduction potential. Projections suggest decreasing overall and mortality burdens by 2050 but rising disability burdens.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Higher- and lower-SDI countries face distinct fall-related challenges. Reducing cross-national health inequalities and closing gaps between the observed burden and the optimal burden level achievable at a similar SDI level are critical. Despite projected declines in the overall burden (DALYs), the rising disability burden (YLDs) could present evolving challenges, potentially underscoring the importance of proactive preparedness.</p></sec></abstract><kwd-group><kwd>falls</kwd><kwd>older adults</kwd><kwd>global burden of disease</kwd><kwd>mortality burden</kwd><kwd>disability burden</kwd><kwd>health inequality</kwd><kwd>projection</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Falls are one of the leading causes of injury, disability, and death among older adults, posing significant challenges to both public health and health care systems worldwide. As global populations age, the burden of falls is expected to increase, particularly among individuals aged 65 years and older. According to the Global Burden of Disease (GBD) study 2021, the age-standardized rate (ASR) of fall incidence was 6198.42 per 100,000 population in 2021, while the ASR of fall-related mortality was 78.36 per 100,000 population among older adults [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Furthermore, the World Health Organization reports that approximately 28% to 35% of older adults experience falls each year, resulting in outcomes ranging from minor injuries to severe fractures and mortality [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. Beyond the immediate physical consequences, falls are linked to long-term disability, loss of independence, psychological trauma, and increased health care costs, making them a critical concern for both individuals and society at large [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>].</p><p>In light of this growing issue, understanding the global, regional, and national burden of falls has become increasingly important. The GBD study 2021 offers a robust framework for quantifying the impact of diseases and injuries worldwide, including falls. While falls among older adults have been widely studied, many of the existing studies are limited in scope&#x2014;either focusing on specific regions or countries or addressing only certain aspects of mental and physical effects [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. A study based on the GBD study discussed the mortality rate of falls across 59 high-income and upper-middle&#x2013;income countries [<xref ref-type="bibr" rid="ref11">11</xref>]. However, significant gaps persist in comprehensively understanding the global-scale mortality and disability burdens across diverse populations and regions, as well as the underlying socioeconomic, environmental, and health care&#x2013;related factors driving these disparities.</p><p>This study aimed to examine the global, regional, and national burden of falls among individuals aged 65 years and older using the latest data from the GBD study 2021. By analyzing variations in fall burdens across countries or regions, the research sought to identify current and future challenges across different development levels and geographic locations.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Data</title><p>This study was a secondary data analysis primarily using the GBD study 2021 database [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. The GBD study 2021, led by the Institute for Health Metrics and Evaluation at the University of Washington, provides comprehensive global health data, covering 369 diseases, injuries, and risk factors. Data on the burden of falls from 1990 to 2021 were retrieved using the GBD Results Tool across 7 age groups: 65 to 69 years, 70 to 74 years, 75 to 79 years, 80 to 84 years, 85 to 89 years, 90 to 94 years, and 95 years and above [<xref ref-type="bibr" rid="ref12">12</xref>]. Demographic data from 1990 to 2050 were acquired from the GBD study database and a projection of the population [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. Additionally, the sociodemographic index (SDI) was accessed from the GBD study database to evaluate the development status of the included countries and territories [<xref ref-type="bibr" rid="ref15">15</xref>].</p></sec><sec id="s2-2"><title>Definition</title><p>The disability-adjusted life years (DALYs) represent the total number of years lost due to ill-health, disability, or early death. This study selected DALYs as the measure of overall burden of falls, with years lived with disability (YLDs) measuring burden of disability and years of life lost (YLLs) measuring burden due to premature mortality. ASR is a statistical measure used to compare rates of health metrics (per 100,000 people) across different populations, adjusting for variations in age distribution. By standardizing the measures using the GBD study world population age standard, the rates of DALYs, YLDs, and YLLs become comparable across countries or regions. The SDI is a composite measure used to summarize a country or region&#x2019;s sociodemographic development; it ranges from 0 to 1, where higher values indicate greater sociodemographic development [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>].</p></sec><sec id="s2-3"><title>Statistical Analysis</title><p>Joinpoint regression analysis was performed using the Windows command-line (batch/callable) version of Joinpoint Regression Software (Surveillance Research Program, National Cancer Institute) to acquire the annual percentage change (APC) and average APC of ASRs [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref20">20</xref>]. This study calculated 2 key indexes of health inequality: the slope index of inequality (SII) and the concentration index, which reflect absolute and relative health inequities, respectively. The SII measures absolute inequality by quantifying the difference in indicator values between the most disadvantaged and most advantaged subgroups considering the overall population distribution. It is derived from a regression model that accounts for the cumulative distribution of the population. Larger SII values indicate greater disparities between these groups. The concentration index is a relative measure that assesses the concentration of a health indicator across subgroups. It ranges from &#x2212;1 to 1, with 0 indicating no inequality. Positive values suggest concentration in advantaged groups, while negative values indicate concentration among disadvantaged groups. The further the concentration index is from 0, the greater the level of inequality [<xref ref-type="bibr" rid="ref21">21</xref>]. Frontier analysis was conducted to identify the optimal burden levels that countries could achieve based on their corresponding development statuses [<xref ref-type="bibr" rid="ref22">22</xref>]. A Spearman rank correlation analysis was conducted to evaluate the relationship between the burden of falls and aging-related indicators among older adults. Bayesian age-period-cohort models and integrated nested Laplace approximations using the R packages <italic>BAPC</italic> (version 0.0.36) and <italic>INLA</italic> (version 24.06.27; R Foundation for Statistical Computing) were used to project the future trends in the burden of falls among older adults [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>].</p></sec><sec id="s2-4"><title>Ethical Considerations</title><p>This study was a secondary analysis of publicly available, deidentified, aggregated data from the GBD study 2021, used in accordance with the relevant data use terms. No additional ethics approval was sought for this study because it was based exclusively on publicly available, anonymized data and involved no direct contact with human participants. This study involved no collection of, or access to, identifiable personal information; therefore, additional informed consent was not required. All analyses were conducted using anonymized, publicly available data, ensuring privacy and confidentiality. No participants were recruited, and no compensation was provided.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Spatiotemporal Patterns of Falls Among Older Adults</title><p>In the initial analysis, it was found that ASRs of mortality and incidence due to falls varied among countries with different SDIs (Figures S1-S3 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> and Tables S1-S4 in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>). Higher-SDI countries exhibited lower ASRs for mortality and higher ASRs for fall incidence, whereas lower-SDI countries exhibited more falls and higher mortality rates among older adults. To gain a comprehensive understanding, we used DALYs, YLDs, and YLLs as indicators to assess the overall burden, disability burden, and mortality burden of falls among individuals aged 65 years and above (Tables S5-S10 in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>).</p><p>From 1990 to 2021, the overall burden of falls among older adults remained consistently high in India, Australia, Europe, North America, and Africa (<xref ref-type="fig" rid="figure1">Figures 1A and 1B</xref>). Specifically, North America and Australia exhibited an increasing trend in their overall burden, while other regions maintained stable levels or experienced only minor increases (<xref ref-type="fig" rid="figure1">Figure 1C</xref>). Regarding disability and mortality burdens, regions with low and low-middle SDI exhibited higher mortality burdens, whereas high-SDI regions exhibited greater disability burdens. The overall burden of falls among older adults followed a U-shaped distribution, with middle- and high-middle&#x2013;SDI regions experiencing the lowest burden and low-, low-middle&#x2013;, and high-SDI regions facing heavier overall burdens (<xref ref-type="fig" rid="figure1">Figure 1D</xref>).</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Spatiotemporal patterns of burden of falls among older adults: (A) age-standardized rate (ASR) of disability-adjusted life years (DALYs) in 1990; (B) ASR of DALYs in 2021; (C) average annual percentage change (AAPC) in the ASR of DALYs from 1990 to 2021; and (D) heat map of the ASR of DALYs, years lived with disability (YLDs), and years of life lost (YLLs) at the global and sociodemographic index (SDI) region levels in 2021.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v9i1e73802_fig01.png"/></fig></sec><sec id="s3-2"><title>Health Inequality Analysis</title><p>The SII was used to quantify absolute differences in ASRs (rates) of burden indicators between the most disadvantaged and most advantaged countries. From 1990 to 2021, the SII for DALYs increased from 337.11 to 425.22, indicating a widening of absolute overall health inequality (<xref ref-type="fig" rid="figure2">Figure 2A</xref>). In contrast, the SII for YLDs decreased from 1274.84 to 1086.98, and the SII for YLLs decreased from &#x2212;912.00 to &#x2212;660.57, suggesting a reduction in the absolute inequality of both disability and mortality burdens (<xref ref-type="fig" rid="figure2">Figures 2B and 2C</xref>). Consistent with the patterns presented in <xref ref-type="fig" rid="figure1">Figure 1D</xref>, these metrics reveal distinct underlying drivers for disability and mortality: the positive SII for YLDs confirms that the disability burden was disproportionately concentrated in higher-SDI countries, while the negative SII for YLLs aligns with our finding that the mortality burden remained more pronounced in lower-SDI regions.</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Health inequality analysis: (A-C) slope indexes of inequality for the age-standardized rates (ASRs) of disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) and (D-F) concentration indexes for DALYs, YLDs, and YLLs. CI: confidence interval. SDI: sociodemographic index.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v9i1e73802_fig02.png"/></fig><p>Distinct from the SII, which compares absolute inequality at the country level, the concentration index evaluates relative health inequality by analyzing the distribution of burden indicators (total numbers) across the global population ranked by SDI. Between 1990 and 2021, the concentration index for DALYs shifted from &#x2212;0.217 to &#x2212;0.146, indicating a reduction in relative inequality. For YLDs, the concentration index values remained close to 0 (&#x2212;0.079; <italic>P</italic>=.50; and &#x2212;0.051; <italic>P</italic>=.68, respectively), suggesting that the disability burden was distributed relatively evenly across the global population [<xref ref-type="bibr" rid="ref25">25</xref>]. Meanwhile, the concentration index for YLLs increased from &#x2212;0.375 to &#x2212;0.251, reflecting a narrowing of relative inequality in mortality. Notably, the negative concentration indexes for both DALYs and YLLs indicate that, despite improvements over time, the overall and mortality burdens remained disproportionately concentrated in lower-SDI populations.</p></sec><sec id="s3-3"><title>Frontier Analysis</title><p>Frontier analysis was conducted to determine the lowest burden that could be potentially achieved based on development status. In <xref ref-type="fig" rid="figure3">Figures 3A, 3C, and 3E</xref>, the scatterplot illustrates the relationship between SDI and the ASRs of DALYs, YLDs, YLLs (the color change from light blue [1990] to dark blue [2021]), indicating a shift in their distribution over time. The black frontier line represents the efficiency frontier, which delineates the lowest possible burden of DALYs, YLDs, and YLLs for a given SDI level. The distance from the frontier represents the gap between the observed burden and the potentially achievable burden of falls in a given country or territory considering its SDI. For ASRs of DALYs, countries with both low and high SDIs experienced a higher burden, while those with middle SDI levels had the lowest DALYs. In addition, for ASRs of YLDs, countries with higher SDIs generally exhibited higher disability burdens. High-SDI countries showed a declining or stable trend, while low-SDI countries exhibited an increasing trend in YLDs. In contrast, for ASRs of YLLs, most curves showed a stable or slight decline, and countries with higher SDIs generally exhibited lower mortality burdens.</p><fig position="float" id="figure3"><label>Figure 3.</label><caption><p>Frontier analysis based on sociodemographic index (SDI) and age-standardized rates (ASRs) of disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) in 204 countries and territories: (A-B) ideal ASRs of DALYs corresponding to the SDI, (C-D) ideal ASRs of YLDs corresponding to the SDI, and (E-F) ideal ASRs of YLLs corresponding to the SDI.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v9i1e73802_fig03.png"/></fig><p>In <xref ref-type="fig" rid="figure3">Figures 3B, 3D, and 3F</xref>, the scatterplots show the relationship between SDI and the ASRs of DALYs, YLDs, and YLLs across different countries in 2021. The colors indicate the trend of ASRs between 1990 and 2021, where red dots represent countries with a decrease in ASRs, while blue dots indicate an increase. High-SDI countries (SDI&#x003E;0.85) with the top 5 largest distances are marked in red. In contrast, among countries with an SDI below 0.50, those performing best are marked in blue. Additionally, the top 15 countries and territories that are furthest from the frontier are colored in black.</p><p>Among the ASRs of DALYs, the countries furthest from the frontier line include India, Greenland, Slovenia, Belgium, and Andorra. For ASRs of YLDs, the countries furthest from the frontier line include Andorra, Belgium, Greenland, Finland, and Switzerland. Regarding ASRs of YLLs, the countries furthest from the frontier line include India, Bhutan, Cambodia, Cuba, and Vietnam. The frontier fit line for ASRs of YLDs is flatter than those of other burden indicators, denoting that the ideal ASRs of YLDs vary little across SDI levels.</p></sec><sec id="s3-4"><title>Projections of Burden of Falls Among Older Adults</title><p>This study projected the global ASRs of DALYs, YLDs, and YLLs over the next 3 decades by integrating demographic forecasts from 2020 to 2050 using the Bayesian age-period-cohort model (<xref ref-type="fig" rid="figure4">Figure 4</xref>). The blue dots in the figure illustrate actual data from 1990 to 2021, and the red dots represent forecasts for the period spanning 2022 to 2050. Overall, the global burden exhibits a declining trend. However, the ASR of YLDs shows an upward trend, indicating that the disability burden may become the future challenge in terms of improving falls among older adults.</p><fig position="float" id="figure4"><label>Figure 4.</label><caption><p>Projection of age-standardized rates (ASRs) of disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) up to 2050.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="aging_v9i1e73802_fig04.png"/></fig></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>In this study, we used DALYs, YLDs, and YLLs to evaluate the overall, disability, and mortality burden of falls among individuals aged 65 years and above. APCs and average APCs of ASRs were calculated to provide insights into trends in burden from 1990 to 2021. Our findings demonstrate that the burden of falls exhibited distinct patterns according to development status. Specifically, YLDs (disability burden) were more prevalent in high-SDI regions, whereas YLLs (mortality burden) were more concentrated in low- and low-middle&#x2013;SDI regions, reflecting a heavier mortality burden. Consequently, the overall burden (DALYs) followed a U-shaped distribution, with burdens being comparatively more severe at both development extremes.</p><p>The observed variations in fall-related burden across geographical regions appear to mirror the broader patterns observed across different levels of socioeconomic development. In high-SDI regions such as Australia, Europe, and North America, the high burdens are primarily driven by older population structures [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>]. However, beyond demographics, environmental and lifestyle factors play a significant role. Higher rates of urbanization and sedentary lifestyles in these regions may contribute to age-related sarcopenia and impaired balance [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]. While infrastructure in high-income settings is generally superior, the urban built environment introduces unique hazards; complex public transportation systems, high-speed escalators, and dense pedestrian traffic can pose challenges for older adults with diminished reaction times [<xref ref-type="bibr" rid="ref31">31</xref>-<xref ref-type="bibr" rid="ref33">33</xref>]. Additionally, seasonal climatic factors significantly modulate this burden in high-latitude regions, where winter ice and snow create hazardous conditions that drive seasonal surges in fall-related fractures [<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>]. Furthermore, while health systems in these regions often demonstrate high proficiency in acute trauma surgery, potentially reducing short-term mortality, the elevated YLDs potentially point toward a relative gap in specialized geriatric rehabilitation [<xref ref-type="bibr" rid="ref37">37</xref>-<xref ref-type="bibr" rid="ref40">40</xref>]. This indicates that, although life-saving interventions are effective, the current infrastructure for long-term fall prevention and functional recovery might not yet fully keep pace with the needs of an increasing aging population [<xref ref-type="bibr" rid="ref41">41</xref>-<xref ref-type="bibr" rid="ref43">43</xref>].</p><p>In contrast, the burden observed in countries such as India and parts of the African region appears to reflect a dual pattern of persistent mortality alongside rising disability, potentially shaped by an interplay of systemic, environmental, and cultural factors [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref47">47</xref>]. Structurally, health system capacity may represent a significant challenge; limited emergency medical services and a scarcity of geriatric specialists are potentially associated with suboptimal clinical outcomes and higher case fatality rates following fall injuries [<xref ref-type="bibr" rid="ref48">48</xref>]. Environmentally, natural topography and infrastructure limitations appear to play a notable role, particularly in rural settings. Older adults often navigate uneven, unpaved terrain and steep slopes, frequently without the aid of stabilized walkways or safety railings [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>]. These risks may be further compounded by insufficient lighting in both communal and domestic spaces, which can hinder navigation for individuals with age-related visual impairments [<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref52">52</xref>]. Additionally, domestic environments in these regions may not always feature age-friendly modifications such as grab bars or standardized step heights [<xref ref-type="bibr" rid="ref53">53</xref>]. Culturally, while the traditional reliance on informal family caregiving is significant, access to the specialized medical and physiotherapeutic knowledge required for effective postfall rehabilitation may be limited [<xref ref-type="bibr" rid="ref54">54</xref>-<xref ref-type="bibr" rid="ref56">56</xref>]. Without professional guidance on secondary prevention, these informal care structures, despite their supportive intent, might correlate with challenges in preventing recurrent falls and managing long-term disability [<xref ref-type="bibr" rid="ref57">57</xref>,<xref ref-type="bibr" rid="ref58">58</xref>].</p><p>The observed epidemiological transition in fall-related burdens is further elucidated by the health inequality analysis, which reveals distinct patterns between absolute gaps (country-level rates) and relative distributions (population-level volume). Regarding absolute inequality, the positive SII for DALYs and YLDs indicates that higher-SDI countries bear a greater absolute burden per 100,000 population, particularly in terms of disability. This is likely attributable to the fact that higher-income countries possess more advanced medical and nursing resources, ensuring timely intervention and survival after a fall. While these resources successfully reduce the mortality burden (YLLs), the combination of survival following injury and a higher proportion of older individuals leads to a more pronounced disability burden. Conversely, the negative SII for YLLs confirms that mortality rates remain higher in lower-income regions, where limited medical infrastructure often results in higher fatality rates following falls. From a temporal perspective, the period from 1990 to 2021 witnessed a narrowing of the absolute gaps in both disability (YLDs) and mortality (YLLs) between the most advantaged and least advantaged countries. It was observed that the absolute gap in the overall burden (DALYs) expanded during this time frame; however, this divergence should be interpreted with caution. It appears to be linked to the reduction in age-standardized DALY rates in lower-SDI countries, suggesting that the gap may be widening due to unequal rates of improvement rather than worsening outcomes [<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref60">60</xref>].</p><p>While absolute gaps indicate disparities in rates between the highest- and lowest-income countries, the analysis of relative inequality (concentration index) provides a complementary perspective by examining how the total burden (absolute number) is distributed across the global population ranked by SDI. Notably, a near-zero concentration index for YLDs suggests a relatively even distribution of disability, and the negative concentration indexes for DALYs and YLLs underscore a persistent health inequity. This implies that, despite higher disability rates in the highest-income countries, the global volume of mortality and overall burden remains predominantly concentrated among populations in lower-income regions. This concentration of burden appears to be driven by 2 primary factors: first, lower-SDI countries often have significantly larger population sizes, meaning that even a moderate incidence rate translates into a much larger absolute number of affected individuals, and second, the dominant contribution of mortality (YLLs) in disadvantaged regions is often exacerbated by inadequate emergency response and a lack of specialized geriatric rehabilitation. Therefore, while high-SDI countries are increasingly challenged by the long-term care of survivors, the most disadvantaged populations continue to carry the heaviest cumulative weight of the burden due to high fatality rates and large population volumes.</p><p>However, this global landscape has evolved favorably over the past 3 decades, as indicated by the narrowing concentration indexes for DALYs and YLLs between 1990 and 2021, suggesting a more balanced global distribution of the fall burden. This shift may be partly attributable to the socioeconomic advancements in populous emerging economies, most notably China and India. As these countries experienced steady increases in their SDI, their massive populations gradually shifted toward higher-SDI quintiles. This demographic-economic transition has played a pivotal role in reducing relative inequality. In summary, while absolute metrics (SII) highlight an increasing disability rate in high-SDI countries as a byproduct of aging and survival, relative indexes (concentration index) emphasize that global health efforts must remain focused on the persistent inequities in lower-income areas. Thus, addressing the fall-related burden requires a dual strategy: managing the rising disability in aging, high-income societies while simultaneously tackling the high mortality burden in disadvantaged populations.</p><p>The frontier analysis identified the ideal levels of burden that countries could achieve given their stage of development. Thus, countries positioned farther from the frontier have greater potential to enhance fall prevention among older adults. The analysis also highlights which countries excel in controlling the burden of falls and which fail to meet these ideal levels. Although one might expect higher-SDI countries to more effectively manage the burden of falls in older populations, the relatively flat frontier curve for YLDs against SDI suggests little difference in ideal burden of disability between lower- and higher-SDI countries.</p><p>Projections of the fall-related burden among older adults highlight potential public health challenges in the coming decades. Although the age-standardized overall burden (DALYs) is expected to decline, the ASR of YLDs is projected to increase, suggesting that the disability burden may pose an increasingly significant future challenge. To mitigate this anticipated shift toward a disability-predominant burden, forward-looking strategies must simultaneously address 3 critical dimensions: preserving intrinsic capacity, minimizing extrinsic hazards, and generalizing system capacity.</p><p>Specifically, prevention efforts may benefit from prioritizing the preservation and enhancement of intrinsic capacity, defined as the composite of an individual&#x2019;s physical and mental reserves [<xref ref-type="bibr" rid="ref61">61</xref>]. The integration of systematic screening approaches such as the World Health Organization&#x2019;s integrated care for older people framework into primary health care systems could facilitate the early identification of deficits in functional ability [<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref63">63</xref>]. Crucially, screening must be coupled with targeted interventions; identifying risk is only the first step. Comprehensive management should extend to personalized lifestyle guidance, encompassing nutritional optimization to combat sarcopenia, sleep hygiene to maintain cognitive alertness, and psychological support to alleviate the fear of falling [<xref ref-type="bibr" rid="ref64">64</xref>-<xref ref-type="bibr" rid="ref66">66</xref>]. Subsequent individualized exercise prescriptions, such as the Otago Exercise Program or tai chi, should be implemented to improve muscle strength and balance [<xref ref-type="bibr" rid="ref67">67</xref>,<xref ref-type="bibr" rid="ref68">68</xref>]. This proactive continuum aims to reverse physical frailty, thereby fortifying the individual&#x2019;s intrinsic resilience against falls.</p><p>Complementing these active measures, policy efforts may benefit from prioritizing the reduction in extrinsic hazards through environmental modifications. Implementing universal design principles in urban planning, including barrier-free walkways and adequate street lighting, alongside subsidizing home modifications such as grab bars and nonslip flooring, is critical for supporting &#x201C;aging-in-place&#x201D; [<xref ref-type="bibr" rid="ref69">69</xref>-<xref ref-type="bibr" rid="ref71">71</xref>]. By systematically mitigating external environmental stressors, such measures can provide a passive safety buffer that operates independently of an individual&#x2019;s fluctuating physical condition, thereby lowering the probability of injury in daily life.</p><p>Finally, the adoption of emerging technologies offers a potential solution to generalize and extend system capacity, bridging the workforce gap in geriatric care [<xref ref-type="bibr" rid="ref72">72</xref>,<xref ref-type="bibr" rid="ref73">73</xref>]. Wearable fall detection sensors and tele-rehabilitation platforms could provide continuous, unobtrusive monitoring and accessible home-based training [<xref ref-type="bibr" rid="ref74">74</xref>-<xref ref-type="bibr" rid="ref77">77</xref>]. These technologies hold the potential to democratize access to specialized resources, supporting the delivery of fall prevention and rehabilitation services and ensuring they are available even in resource-constrained or remote settings.</p></sec><sec id="s4-2"><title>Limitations</title><p>While this study provides a comprehensive global overview of fall-related burdens among older adults, several limitations warrant consideration. First, this research used a macrolevel analysis examining national data from 1990 to 2021; consequently, it did not involve in-depth clinical investigations or granular subnational analyses of individual countries. Localized heterogeneity, such as specific rural-urban disparities within a single country, unique cultural safety practices, or variations in regional infrastructure, may not be fully captured by national-level SDI metrics. Second, the findings are subject to the inherent limitations of the GBD study&#x2019;s primary data sources. In many low-SDI regions, vital registration systems may be fragmented or inconsistent. This can lead to potential underreporting or the misclassification of fall-related injuries. However, to mitigate these disparities, the GBD study framework uses rigorous statistical modeling methods to calibrate data inconsistencies and fill gaps. While these advanced techniques significantly reduce bias and ensure global comparability, the estimates in data-sparse regions should still be interpreted with a degree of caution. Finally, while the frontier and inequality analyses provide robust insights into global patterns, they are based on aggregated statistical models. These models describe observed trends and performance gaps but do not account for sudden shifts in health policy or major global disruptions. Future research using more granular, local-level data would be beneficial to validate these national trends and further explore the specific sociocultural drivers of the fall-related burden.</p></sec><sec id="s4-3"><title>Conclusions</title><p>This study elucidates divergent patterns in the global burden of falls among older adults, consistent with an epidemiological transition: lower-SDI regions bear a predominant mortality burden (YLLs), while higher-SDI regions face an elevated disability burden (YLDs). Regarding health inequality, although the relative distribution of the overall burden (concentration index) showed signs of convergence during the study period, the absolute gap (SII) in ASRs between the most and least advantaged populations appears to persist. Furthermore, the frontier analysis indicated that potential exists for countries across the sociodemographic spectrum to further reduce their burden relative to achievable benchmarks.</p><p>Projections of the fall-related burden suggest that, while overall rates may decline, the disability burden (YLDs) is likely to pose an increasingly significant challenge in the coming decades. Collectively, these findings suggest that enhanced proactive preparedness could play a pivotal role in mitigating this anticipated future strain.</p></sec></sec></body><back><notes><sec><title>Funding</title><p>The authors declared no financial support was received for this work.</p></sec></notes><fn-group><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">APC</term><def><p>annual percentage change</p></def></def-item><def-item><term id="abb2">ASR</term><def><p>age-standardized rate</p></def></def-item><def-item><term id="abb3">DALY</term><def><p>disability-adjusted life year</p></def></def-item><def-item><term id="abb4">GBD</term><def><p>Global Burden of Disease</p></def></def-item><def-item><term id="abb5">SDI</term><def><p>sociodemographic index</p></def></def-item><def-item><term id="abb6">SII</term><def><p>slope index of inequality</p></def></def-item><def-item><term id="abb7">YLD</term><def><p>year lived with disability</p></def></def-item><def-item><term id="abb8">YLL</term><def><p>year of life lost</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2021 Diseases and Injuries Collaborators</collab></person-group><article-title>Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021</article-title><source>Lancet</source><year>2024</year><month>05</month><day>18</day><volume>403</volume><issue>10440</issue><fpage>2133</fpage><lpage>2161</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(24)00757-8</pub-id><pub-id pub-id-type="medline">38642570</pub-id></nlm-citation></ref><ref id="ref2"><label>2</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Murray</surname><given-names>CJ</given-names> </name><collab>GBD 2021 Collaborators</collab></person-group><article-title>Findings from the Global Burden of Disease Study 2021</article-title><source>Lancet</source><year>2024</year><month>05</month><volume>403</volume><issue>10440</issue><fpage>2259</fpage><lpage>2262</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(24)00769-4</pub-id><pub-id pub-id-type="medline">38762327</pub-id></nlm-citation></ref><ref id="ref3"><label>3</label><nlm-citation citation-type="report"><article-title>WHO global report on falls prevention in older age</article-title><year>2007</year><access-date>2026-04-01</access-date><publisher-name>World Health Organization</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://extranet.who.int/agefriendlyworld/wp-content/uploads/2014/06/WHo-Global-report-on-falls-prevention-in-older-age.pdf">https://extranet.who.int/agefriendlyworld/wp-content/uploads/2014/06/WHo-Global-report-on-falls-prevention-in-older-age.pdf</ext-link></comment></nlm-citation></ref><ref id="ref4"><label>4</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zangbar</surname><given-names>B</given-names> </name><name name-style="western"><surname>Rafieezadeh</surname><given-names>A</given-names> </name><name name-style="western"><surname>Rodriguez</surname><given-names>G</given-names> </name><etal/></person-group><article-title>Geriatric falls: an enormous economic burden compared to firearms</article-title><source>Trauma Surg Acute Care Open</source><year>2024</year><volume>9</volume><issue>1</issue><fpage>e001492</fpage><pub-id pub-id-type="doi">10.1136/tsaco-2024-001492</pub-id><pub-id pub-id-type="medline">39416955</pub-id></nlm-citation></ref><ref id="ref5"><label>5</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Dykes</surname><given-names>PC</given-names> </name><name name-style="western"><surname>Curtin-Bowen</surname><given-names>M</given-names> </name><name name-style="western"><surname>Lipsitz</surname><given-names>S</given-names> </name><etal/></person-group><article-title>Cost of inpatient falls and cost-benefit analysis of implementation of an evidence-based fall prevention program</article-title><source>JAMA Health Forum</source><year>2023</year><month>01</month><day>6</day><volume>4</volume><issue>1</issue><fpage>e225125</fpage><pub-id pub-id-type="doi">10.1001/jamahealthforum.2022.5125</pub-id><pub-id pub-id-type="medline">36662505</pub-id></nlm-citation></ref><ref id="ref6"><label>6</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wang</surname><given-names>J</given-names> </name><name name-style="western"><surname>Li</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Yang</surname><given-names>GY</given-names> </name><name name-style="western"><surname>Jin</surname><given-names>K</given-names> </name></person-group><article-title>Age-related dysfunction in balance: a comprehensive review of causes, consequences, and interventions</article-title><source>Aging Dis</source><year>2024</year><month>01</month><day>24</day><volume>16</volume><issue>2</issue><fpage>714</fpage><lpage>737</lpage><pub-id pub-id-type="doi">10.14336/AD.2024.0124-1</pub-id><pub-id pub-id-type="medline">38607735</pub-id></nlm-citation></ref><ref id="ref7"><label>7</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kohle</surname><given-names>F</given-names> </name><name name-style="western"><surname>Stark</surname><given-names>C</given-names> </name><name name-style="western"><surname>Kl&#x00FC;nter</surname><given-names>HD</given-names> </name><etal/></person-group><article-title>Peripheral neuropathy, an independent risk factor for falls in the elderly, impairs stepping as a postural control mechanism: a case-cohort study</article-title><source>J Peripher Nerv Syst</source><year>2024</year><month>12</month><volume>29</volume><issue>4</issue><fpage>453</fpage><lpage>463</lpage><pub-id pub-id-type="doi">10.1111/jns.12656</pub-id><pub-id pub-id-type="medline">39219364</pub-id></nlm-citation></ref><ref id="ref8"><label>8</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Li</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Smith</surname><given-names>RM</given-names> </name><name name-style="western"><surname>Whitney</surname><given-names>SL</given-names> </name><name name-style="western"><surname>Seemungal</surname><given-names>BM</given-names> </name><name name-style="western"><surname>Ellmers</surname><given-names>TJ</given-names> </name></person-group><article-title>Association between dizziness and future falls and fall-related injuries in older adults: a systematic review and meta-analysis</article-title><source>Age Ageing</source><year>2024</year><month>09</month><day>1</day><volume>53</volume><issue>9</issue><fpage>afae177</fpage><pub-id pub-id-type="doi">10.1093/ageing/afae177</pub-id><pub-id pub-id-type="medline">39293812</pub-id></nlm-citation></ref><ref id="ref9"><label>9</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Yao</surname><given-names>S</given-names> </name><name name-style="western"><surname>Chen</surname><given-names>XW</given-names> </name></person-group><article-title>Effects of global cognitive function on the prevalence of fear of falling in older adults</article-title><source>J Psychiatr Res</source><year>2025</year><month>01</month><volume>181</volume><fpage>72</fpage><lpage>79</lpage><pub-id pub-id-type="doi">10.1016/j.jpsychires.2024.11.060</pub-id><pub-id pub-id-type="medline">39603164</pub-id></nlm-citation></ref><ref id="ref10"><label>10</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Nie</surname><given-names>XY</given-names> </name><name name-style="western"><surname>Dong</surname><given-names>XX</given-names> </name><name name-style="western"><surname>Lu</surname><given-names>H</given-names> </name><etal/></person-group><article-title>Multimorbidity patterns and the risk of falls among older adults: a community-based study in China</article-title><source>BMC Geriatr</source><year>2024</year><month>08</month><day>7</day><volume>24</volume><issue>1</issue><fpage>660</fpage><pub-id pub-id-type="doi">10.1186/s12877-024-05245-1</pub-id><pub-id pub-id-type="medline">39112944</pub-id></nlm-citation></ref><ref id="ref11"><label>11</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kim</surname><given-names>S</given-names> </name><name name-style="western"><surname>Kim</surname><given-names>S</given-names> </name><name name-style="western"><surname>Woo</surname><given-names>S</given-names> </name><etal/></person-group><article-title>Temporal trends and patterns in mortality from falls across 59 high-income and upper-middle-income countries, 1990-2021, with projections up to 2040: a global time-series analysis and modelling study</article-title><source>Lancet Healthy Longev</source><year>2025</year><month>01</month><volume>6</volume><issue>1</issue><fpage>100672</fpage><pub-id pub-id-type="doi">10.1016/j.lanhl.2024.100672</pub-id><pub-id pub-id-type="medline">39848266</pub-id></nlm-citation></ref><ref id="ref12"><label>12</label><nlm-citation citation-type="web"><article-title>GBD results</article-title><source>Institute for Health Metrics and Evaluation</source><access-date>2024-09-11</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://vizhub.healthdata.org/gbd-results">https://vizhub.healthdata.org/gbd-results</ext-link></comment></nlm-citation></ref><ref id="ref13"><label>13</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Vollset</surname><given-names>SE</given-names> </name><name name-style="western"><surname>Goren</surname><given-names>E</given-names> </name><name name-style="western"><surname>Yuan</surname><given-names>CW</given-names> </name><etal/></person-group><article-title>Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study</article-title><source>Lancet</source><year>2020</year><month>10</month><day>17</day><volume>396</volume><issue>10258</issue><fpage>1285</fpage><lpage>1306</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(20)30677-2</pub-id><pub-id pub-id-type="medline">32679112</pub-id></nlm-citation></ref><ref id="ref14"><label>14</label><nlm-citation citation-type="web"><article-title>Global Burden of Disease Study 2021 (GBD 2021) demographics 1950-2021</article-title><source>Institute for Health Metrics and Evaluation</source><year>2024</year><access-date>2024-09-12</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://ghdx.healthdata.org/record/ihme-data/global-burden-disease-study-2021-gbd-2021-demographics-1950-2021">https://ghdx.healthdata.org/record/ihme-data/global-burden-disease-study-2021-gbd-2021-demographics-1950-2021</ext-link></comment></nlm-citation></ref><ref id="ref15"><label>15</label><nlm-citation citation-type="web"><article-title>Global Burden of Disease Study 2021 (GBD 2021) socio-demographic index (SDI) 1950&#x2013;2021</article-title><source>Institute for Health Metrics and Evaluation</source><year>2024</year><access-date>2024-09-11</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://ghdx.healthdata.org/record/global-burden-disease-study-2021-gbd-2021-socio-demographic-index-sdi-1950%E2%80%932021">https://ghdx.healthdata.org/record/global-burden-disease-study-2021-gbd-2021-socio-demographic-index-sdi-1950%E2%80%932021</ext-link></comment></nlm-citation></ref><ref id="ref16"><label>16</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2015 SDG Collaborators</collab></person-group><article-title>Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015</article-title><source>Lancet</source><year>2016</year><month>10</month><volume>388</volume><issue>10053</issue><fpage>1813</fpage><lpage>1850</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(16)31467-2</pub-id><pub-id pub-id-type="medline">27665228</pub-id></nlm-citation></ref><ref id="ref17"><label>17</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2015 DALYs and HALE Collaborators</collab></person-group><article-title>Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015</article-title><source>Lancet</source><year>2016</year><month>10</month><volume>388</volume><issue>10053</issue><fpage>1603</fpage><lpage>1658</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(16)31460-X</pub-id><pub-id pub-id-type="medline">27733283</pub-id></nlm-citation></ref><ref id="ref18"><label>18</label><nlm-citation citation-type="web"><article-title>Joinpoint trend analysis software</article-title><source>National Cancer Institute</source><access-date>2026-04-06</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://surveillance.cancer.gov/joinpoint/">https://surveillance.cancer.gov/joinpoint/</ext-link></comment></nlm-citation></ref><ref id="ref19"><label>19</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kim</surname><given-names>HJ</given-names> </name><name name-style="western"><surname>Chen</surname><given-names>HS</given-names> </name><name name-style="western"><surname>Byrne</surname><given-names>J</given-names> </name><name name-style="western"><surname>Wheeler</surname><given-names>B</given-names> </name><name name-style="western"><surname>Feuer</surname><given-names>EJ</given-names> </name></person-group><article-title>Twenty years since Joinpoint 1.0: two major enhancements, their justification, and impact</article-title><source>Stat Med</source><year>2022</year><month>07</month><day>20</day><volume>41</volume><issue>16</issue><fpage>3102</fpage><lpage>3130</lpage><pub-id pub-id-type="doi">10.1002/sim.9407</pub-id><pub-id pub-id-type="medline">35522060</pub-id></nlm-citation></ref><ref id="ref20"><label>20</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kim</surname><given-names>HJ</given-names> </name><name name-style="western"><surname>Fay</surname><given-names>MP</given-names> </name><name name-style="western"><surname>Feuer</surname><given-names>EJ</given-names> </name><name name-style="western"><surname>Midthune</surname><given-names>DN</given-names> </name></person-group><article-title>Permutation tests for joinpoint regression with applications to cancer rates</article-title><source>Stat Med</source><year>2000</year><month>02</month><day>15</day><volume>19</volume><issue>3</issue><fpage>335</fpage><lpage>351</lpage><pub-id pub-id-type="medline">10649300</pub-id></nlm-citation></ref><ref id="ref21"><label>21</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Schlotheuber</surname><given-names>A</given-names> </name><name name-style="western"><surname>Hosseinpoor</surname><given-names>AR</given-names> </name></person-group><article-title>Summary measures of health inequality: a review of existing measures and their application</article-title><source>Int J Environ Res Public Health</source><year>2022</year><month>03</month><day>20</day><volume>19</volume><issue>6</issue><fpage>3697</fpage><pub-id pub-id-type="doi">10.3390/ijerph19063697</pub-id><pub-id pub-id-type="medline">35329383</pub-id></nlm-citation></ref><ref id="ref22"><label>22</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Xie</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Bowe</surname><given-names>B</given-names> </name><name name-style="western"><surname>Mokdad</surname><given-names>AH</given-names> </name><etal/></person-group><article-title>Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016</article-title><source>Kidney Int</source><year>2018</year><month>09</month><volume>94</volume><issue>3</issue><fpage>567</fpage><lpage>581</lpage><pub-id pub-id-type="doi">10.1016/j.kint.2018.04.011</pub-id><pub-id pub-id-type="medline">30078514</pub-id></nlm-citation></ref><ref id="ref23"><label>23</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Rue</surname><given-names>H</given-names> </name><name name-style="western"><surname>Martino</surname><given-names>S</given-names> </name><name name-style="western"><surname>Chopin</surname><given-names>N</given-names> </name></person-group><article-title>Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations</article-title><source>J R Stat Soc Series B Stat Methodol</source><year>2009</year><month>04</month><volume>71</volume><issue>2</issue><fpage>319</fpage><lpage>392</lpage><pub-id pub-id-type="doi">10.1111/j.1467-9868.2008.00700.x</pub-id></nlm-citation></ref><ref id="ref24"><label>24</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Martins</surname><given-names>TG</given-names> </name><name name-style="western"><surname>Simpson</surname><given-names>D</given-names> </name><name name-style="western"><surname>Lindgren</surname><given-names>F</given-names> </name><name name-style="western"><surname>Rue</surname><given-names>H</given-names> </name></person-group><article-title>Bayesian computing with INLA: new features</article-title><source>Comput Stat Data Anal</source><year>2013</year><month>11</month><volume>67</volume><fpage>68</fpage><lpage>83</lpage><pub-id pub-id-type="doi">10.1016/j.csda.2013.04.014</pub-id></nlm-citation></ref><ref id="ref25"><label>25</label><nlm-citation citation-type="book"><source>Handbook on Health Inequality Monitoring: With a Special Focus on Low- and Middle-Income Countries</source><year>2013</year><access-date>2024-12-20</access-date><publisher-name>World Health Organization</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf">https://www.who.int/docs/default-source/gho-documents/health-equity/handbook-on-health-inequality-monitoring/handbook-on-health-inequality-monitoring.pdf</ext-link></comment></nlm-citation></ref><ref id="ref26"><label>26</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2019 Mental Disorders Collaborators</collab></person-group><article-title>Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019</article-title><source>Lancet Psychiatry</source><year>2022</year><month>02</month><volume>9</volume><issue>2</issue><fpage>137</fpage><lpage>150</lpage><pub-id pub-id-type="doi">10.1016/S2215-0366(21)00395-3</pub-id><pub-id pub-id-type="medline">35026139</pub-id></nlm-citation></ref><ref id="ref27"><label>27</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Haagsma</surname><given-names>JA</given-names> </name><name name-style="western"><surname>Graetz</surname><given-names>N</given-names> </name><name name-style="western"><surname>Bolliger</surname><given-names>I</given-names> </name><etal/></person-group><article-title>The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013</article-title><source>Inj Prev</source><year>2016</year><month>02</month><volume>22</volume><issue>1</issue><fpage>3</fpage><lpage>18</lpage><pub-id pub-id-type="doi">10.1136/injuryprev-2015-041616</pub-id><pub-id pub-id-type="medline">26635210</pub-id></nlm-citation></ref><ref id="ref28"><label>28</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>&#x00D3; Breasail</surname><given-names>M</given-names> </name><name name-style="western"><surname>Zengin</surname><given-names>A</given-names> </name><name name-style="western"><surname>Pearse</surname><given-names>C</given-names> </name><etal/></person-group><article-title>Rural-urban differences in osteoporosis and sarcopenia prevalence among Gambian older adults: a pilot study</article-title><source>J Bone Miner Res</source><year>2025</year><month>09</month><day>22</day><fpage>zjaf130</fpage><pub-id pub-id-type="doi">10.1093/jbmr/zjaf130</pub-id><pub-id pub-id-type="medline">40981665</pub-id></nlm-citation></ref><ref id="ref29"><label>29</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Seo</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Kim</surname><given-names>M</given-names> </name><name name-style="western"><surname>Shin</surname><given-names>H</given-names> </name><name name-style="western"><surname>Won</surname><given-names>C</given-names> </name></person-group><article-title>Perceived neighborhood environment associated with sarcopenia in urban-dwelling older adults: the Korean Frailty and Aging Cohort Study (KFACS)</article-title><source>Int J Environ Res Public Health</source><year>2021</year><month>06</month><day>10</day><volume>18</volume><issue>12</issue><fpage>6292</fpage><pub-id pub-id-type="doi">10.3390/ijerph18126292</pub-id><pub-id pub-id-type="medline">34200703</pub-id></nlm-citation></ref><ref id="ref30"><label>30</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Curl</surname><given-names>A</given-names> </name><name name-style="western"><surname>Fitt</surname><given-names>H</given-names> </name><name name-style="western"><surname>Tomintz</surname><given-names>M</given-names> </name></person-group><article-title>Experiences of the built environment, falls and fear of falling outdoors among older adults: an exploratory study and future directions</article-title><source>Int J Environ Res Public Health</source><year>2020</year><month>02</month><day>14</day><volume>17</volume><issue>4</issue><fpage>1224</fpage><pub-id pub-id-type="doi">10.3390/ijerph17041224</pub-id><pub-id pub-id-type="medline">32074960</pub-id></nlm-citation></ref><ref id="ref31"><label>31</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhang</surname><given-names>N</given-names> </name><name name-style="western"><surname>Yang</surname><given-names>Q</given-names> </name></person-group><article-title>Public transport inclusion and active aging: a systematic review on elderly mobility</article-title><source>J Traffic Transp Eng (Engl Ed)</source><year>2024</year><month>04</month><volume>11</volume><issue>2</issue><fpage>312</fpage><lpage>347</lpage><pub-id pub-id-type="doi">10.1016/j.jtte.2024.04.001</pub-id></nlm-citation></ref><ref id="ref32"><label>32</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Clarke</surname><given-names>P</given-names> </name><name name-style="western"><surname>Gallagher</surname><given-names>NA</given-names> </name></person-group><article-title>Optimizing mobility in later life: the role of the urban built environment for older adults aging in place</article-title><source>J Urban Health</source><year>2013</year><month>12</month><volume>90</volume><issue>6</issue><fpage>997</fpage><lpage>1009</lpage><pub-id pub-id-type="doi">10.1007/s11524-013-9800-4</pub-id><pub-id pub-id-type="medline">23592019</pub-id></nlm-citation></ref><ref id="ref33"><label>33</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>O&#x2019;Neil</surname><given-names>J</given-names> </name><name name-style="western"><surname>Steele</surname><given-names>GK</given-names> </name><name name-style="western"><surname>Huisingh</surname><given-names>C</given-names> </name><name name-style="western"><surname>Smith</surname><given-names>GA</given-names> </name></person-group><article-title>Escalator-related injuries among older adults in the United States, 1991-2005</article-title><source>Accid Anal Prev</source><year>2008</year><month>03</month><volume>40</volume><issue>2</issue><fpage>527</fpage><lpage>533</lpage><pub-id pub-id-type="doi">10.1016/j.aap.2007.08.008</pub-id><pub-id pub-id-type="medline">18329403</pub-id></nlm-citation></ref><ref id="ref34"><label>34</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Al-Azzani</surname><given-names>W</given-names> </name><name name-style="western"><surname>Adam Maliq Mak</surname><given-names>D</given-names> </name><name name-style="western"><surname>Hodgson</surname><given-names>P</given-names> </name><name name-style="western"><surname>Williams</surname><given-names>R</given-names> </name></person-group><article-title>Epidemic of fractures during a period of snow and ice: has anything changed 33&#x2005;years on?</article-title><source>BMJ Open</source><year>2016</year><month>09</month><day>14</day><volume>6</volume><issue>9</issue><fpage>e010582</fpage><pub-id pub-id-type="doi">10.1136/bmjopen-2015-010582</pub-id><pub-id pub-id-type="medline">27630066</pub-id></nlm-citation></ref><ref id="ref35"><label>35</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Dahl</surname><given-names>C</given-names> </name><name name-style="western"><surname>Madsen</surname><given-names>C</given-names> </name><name name-style="western"><surname>Omsland</surname><given-names>TK</given-names> </name><etal/></person-group><article-title>The association of cold ambient temperature with fracture risk and mortality: national data from Norway-a Norwegian Epidemiologic Osteoporosis Studies (NOREPOS) study</article-title><source>J Bone Miner Res</source><year>2022</year><month>08</month><volume>37</volume><issue>8</issue><fpage>1527</fpage><lpage>1536</lpage><pub-id pub-id-type="doi">10.1002/jbmr.4628</pub-id><pub-id pub-id-type="medline">35689442</pub-id></nlm-citation></ref><ref id="ref36"><label>36</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Od&#x00E9;n</surname><given-names>A</given-names> </name><name name-style="western"><surname>Kanis</surname><given-names>JA</given-names> </name><name name-style="western"><surname>McCloskey</surname><given-names>EV</given-names> </name><name name-style="western"><surname>Johansson</surname><given-names>H</given-names> </name></person-group><article-title>The effect of latitude on the risk and seasonal variation in hip fracture in Sweden</article-title><source>J Bone Miner Res</source><year>2014</year><month>10</month><volume>29</volume><issue>10</issue><fpage>2217</fpage><lpage>2223</lpage><pub-id pub-id-type="doi">10.1002/jbmr.2250</pub-id><pub-id pub-id-type="medline">24715585</pub-id></nlm-citation></ref><ref id="ref37"><label>37</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gauss</surname><given-names>T</given-names> </name><name name-style="western"><surname>de Jongh</surname><given-names>M</given-names> </name><name name-style="western"><surname>Maegele</surname><given-names>M</given-names> </name><name name-style="western"><surname>Cole</surname><given-names>E</given-names> </name><name name-style="western"><surname>Bouzat</surname><given-names>P</given-names> </name></person-group><article-title>Trauma systems in high socioeconomic index countries in 2050</article-title><source>Crit Care</source><year>2024</year><month>03</month><day>16</day><volume>28</volume><issue>1</issue><fpage>84</fpage><pub-id pub-id-type="doi">10.1186/s13054-024-04863-w</pub-id><pub-id pub-id-type="medline">38493142</pub-id></nlm-citation></ref><ref id="ref38"><label>38</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Li</surname><given-names>A</given-names> </name><name name-style="western"><surname>Feng</surname><given-names>Q</given-names> </name><name name-style="western"><surname>Zhao</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Zhang</surname><given-names>X</given-names> </name><name name-style="western"><surname>Jiang</surname><given-names>W</given-names> </name></person-group><article-title>Comprehensive meta-analysis of emergency trauma outcomes: trends, interventions, and survival rates</article-title><source>Front Public Health</source><year>2025</year><volume>13</volume><fpage>1696401</fpage><pub-id pub-id-type="doi">10.3389/fpubh.2025.1696401</pub-id><pub-id pub-id-type="medline">41393036</pub-id></nlm-citation></ref><ref id="ref39"><label>39</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Arinzon</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Fidelman</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Zuta</surname><given-names>A</given-names> </name><name name-style="western"><surname>Peisakh</surname><given-names>A</given-names> </name><name name-style="western"><surname>Berner</surname><given-names>YN</given-names> </name></person-group><article-title>Functional recovery after hip fracture in old-old elderly patients</article-title><source>Arch Gerontol Geriatr</source><year>2005</year><volume>40</volume><issue>3</issue><fpage>327</fpage><lpage>336</lpage><pub-id pub-id-type="doi">10.1016/j.archger.2004.10.003</pub-id><pub-id pub-id-type="medline">15814166</pub-id></nlm-citation></ref><ref id="ref40"><label>40</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhao</surname><given-names>L</given-names> </name><name name-style="western"><surname>Zhao</surname><given-names>X</given-names> </name><name name-style="western"><surname>Dong</surname><given-names>B</given-names> </name><name name-style="western"><surname>Li</surname><given-names>X</given-names> </name></person-group><article-title>Effectiveness of home-based exercise for functional rehabilitation in older adults after hip fracture surgery: a systematic review and meta-analysis of randomized controlled trials</article-title><source>PLoS One</source><year>2024</year><volume>19</volume><issue>12</issue><fpage>e0315707</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0315707</pub-id><pub-id pub-id-type="medline">39700091</pub-id></nlm-citation></ref><ref id="ref41"><label>41</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Jesus</surname><given-names>TS</given-names> </name><name name-style="western"><surname>Landry</surname><given-names>MD</given-names> </name></person-group><article-title>Global need: including rehabilitation in health system strengthening</article-title><source>Lancet</source><year>2021</year><month>02</month><day>20</day><volume>397</volume><issue>10275</issue><fpage>665</fpage><lpage>666</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(21)00207-5</pub-id><pub-id pub-id-type="medline">33610203</pub-id></nlm-citation></ref><ref id="ref42"><label>42</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chudyk</surname><given-names>AM</given-names> </name><name name-style="western"><surname>Jutai</surname><given-names>JW</given-names> </name><name name-style="western"><surname>Petrella</surname><given-names>RJ</given-names> </name><name name-style="western"><surname>Speechley</surname><given-names>M</given-names> </name></person-group><article-title>Systematic review of hip fracture rehabilitation practices in the elderly</article-title><source>Arch Phys Med Rehabil</source><year>2009</year><month>02</month><volume>90</volume><issue>2</issue><fpage>246</fpage><lpage>262</lpage><pub-id pub-id-type="doi">10.1016/j.apmr.2008.06.036</pub-id><pub-id pub-id-type="medline">19236978</pub-id></nlm-citation></ref><ref id="ref43"><label>43</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Cieza</surname><given-names>A</given-names> </name><name name-style="western"><surname>Causey</surname><given-names>K</given-names> </name><name name-style="western"><surname>Kamenov</surname><given-names>K</given-names> </name><name name-style="western"><surname>Hanson</surname><given-names>SW</given-names> </name><name name-style="western"><surname>Chatterji</surname><given-names>S</given-names> </name><name name-style="western"><surname>Vos</surname><given-names>T</given-names> </name></person-group><article-title>Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019</article-title><source>Lancet</source><year>2021</year><month>12</month><day>19</day><volume>396</volume><issue>10267</issue><fpage>2006</fpage><lpage>2017</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(20)32340-0</pub-id><pub-id pub-id-type="medline">33275908</pub-id></nlm-citation></ref><ref id="ref44"><label>44</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Biswas</surname><given-names>I</given-names> </name><name name-style="western"><surname>Adebusoye</surname><given-names>B</given-names> </name><name name-style="western"><surname>Chattopadhyay</surname><given-names>K</given-names> </name></person-group><article-title>Risk factors for falls among older adults in India: a systematic review and meta-analysis</article-title><source>Health Sci Rep</source><year>2022</year><month>07</month><volume>5</volume><issue>4</issue><fpage>e637</fpage><pub-id pub-id-type="doi">10.1002/hsr2.637</pub-id><pub-id pub-id-type="medline">35774830</pub-id></nlm-citation></ref><ref id="ref45"><label>45</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>James</surname><given-names>SL</given-names> </name><name name-style="western"><surname>Lucchesi</surname><given-names>LR</given-names> </name><name name-style="western"><surname>Bisignano</surname><given-names>C</given-names> </name><etal/></person-group><article-title>The global burden of falls: global, regional and national estimates of morbidity and mortality from the Global Burden of Disease Study 2017</article-title><source>Inj Prev</source><year>2020</year><month>10</month><volume>26</volume><issue>Supp 1</issue><fpage>i3</fpage><lpage>i11</lpage><pub-id pub-id-type="doi">10.1136/injuryprev-2019-043286</pub-id><pub-id pub-id-type="medline">31941758</pub-id></nlm-citation></ref><ref id="ref46"><label>46</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kalula</surname><given-names>SZ</given-names> </name><name name-style="western"><surname>Scott</surname><given-names>V</given-names> </name><name name-style="western"><surname>Dowd</surname><given-names>A</given-names> </name><name name-style="western"><surname>Brodrick</surname><given-names>K</given-names> </name></person-group><article-title>Falls and fall prevention programmes in developing countries: environmental scan for the adaptation of the Canadian falls prevention curriculum for developing countries</article-title><source>J Safety Res</source><year>2011</year><month>12</month><volume>42</volume><issue>6</issue><fpage>461</fpage><lpage>472</lpage><pub-id pub-id-type="doi">10.1016/j.jsr.2010.12.003</pub-id><pub-id pub-id-type="medline">22152264</pub-id></nlm-citation></ref><ref id="ref47"><label>47</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Okoye</surname><given-names>EC</given-names> </name><name name-style="western"><surname>Akosile</surname><given-names>CO</given-names> </name><name name-style="western"><surname>Maruf</surname><given-names>FA</given-names> </name><name name-style="western"><surname>Onwuakagba</surname><given-names>IU</given-names> </name><name name-style="western"><surname>Mgbeojedo</surname><given-names>UG</given-names> </name></person-group><article-title>Falls and fear of falling among older adults in an assisted-living facility: a qualitative and foundational study for intervention development in a developing country</article-title><source>Arch Gerontol Geriatr</source><year>2021</year><volume>94</volume><fpage>104375</fpage><pub-id pub-id-type="doi">10.1016/j.archger.2021.104375</pub-id><pub-id pub-id-type="medline">33571785</pub-id></nlm-citation></ref><ref id="ref48"><label>48</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bhattarai</surname><given-names>HK</given-names> </name><name name-style="western"><surname>Bhusal</surname><given-names>S</given-names> </name><name name-style="western"><surname>Barone-Adesi</surname><given-names>F</given-names> </name><name name-style="western"><surname>Hubloue</surname><given-names>I</given-names> </name></person-group><article-title>Prehospital emergency care in low- and middle-income countries: a systematic review</article-title><source>Prehosp Disaster Med</source><year>2023</year><month>08</month><volume>38</volume><issue>4</issue><fpage>495</fpage><lpage>512</lpage><pub-id pub-id-type="doi">10.1017/S1049023X23006088</pub-id><pub-id pub-id-type="medline">37492946</pub-id></nlm-citation></ref><ref id="ref49"><label>49</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kitayuguchi</surname><given-names>J</given-names> </name><name name-style="western"><surname>Abe</surname><given-names>T</given-names> </name><name name-style="western"><surname>Okuyama</surname><given-names>K</given-names> </name><etal/></person-group><article-title>Association between a hilly neighborhood environment and falls among rural older adults: a cross-sectional study</article-title><source>J Rural Med</source><year>2021</year><month>10</month><volume>16</volume><issue>4</issue><fpage>214</fpage><lpage>221</lpage><pub-id pub-id-type="doi">10.2185/jrm.2021-028</pub-id><pub-id pub-id-type="medline">34707730</pub-id></nlm-citation></ref><ref id="ref50"><label>50</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Li</surname><given-names>W</given-names> </name><name name-style="western"><surname>Keegan</surname><given-names>TH</given-names> </name><name name-style="western"><surname>Sternfeld</surname><given-names>B</given-names> </name><name name-style="western"><surname>Sidney</surname><given-names>S</given-names> </name><name name-style="western"><surname>Quesenberry</surname><given-names>CP</given-names>  <suffix>Jr</suffix></name><name name-style="western"><surname>Kelsey</surname><given-names>JL</given-names> </name></person-group><article-title>Outdoor falls among middle-aged and older adults: a neglected public health problem</article-title><source>Am J Public Health</source><year>2006</year><month>07</month><volume>96</volume><issue>7</issue><fpage>1192</fpage><lpage>1200</lpage><pub-id pub-id-type="doi">10.2105/AJPH.2005.083055</pub-id><pub-id pub-id-type="medline">16735616</pub-id></nlm-citation></ref><ref id="ref51"><label>51</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Anderer</surname><given-names>S</given-names> </name></person-group><article-title>Home hazards increase fall risk in older adults with visual impairment</article-title><source>JAMA</source><year>2026</year><volume>335</volume><issue>5</issue><fpage>392</fpage><pub-id pub-id-type="doi">10.1001/jama.2025.23017</pub-id></nlm-citation></ref><ref id="ref52"><label>52</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Schmitz</surname><given-names>MF</given-names> </name><name name-style="western"><surname>Giunta</surname><given-names>N</given-names> </name><name name-style="western"><surname>Parikh</surname><given-names>NS</given-names> </name><name name-style="western"><surname>Chen</surname><given-names>KK</given-names> </name><name name-style="western"><surname>Fahs</surname><given-names>MC</given-names> </name><name name-style="western"><surname>Gallo</surname><given-names>WT</given-names> </name></person-group><article-title>The association between neighbourhood social cohesion and hypertension management strategies in older adults</article-title><source>Age Ageing</source><year>2012</year><month>05</month><volume>41</volume><issue>3</issue><fpage>388</fpage><lpage>392</lpage><pub-id pub-id-type="doi">10.1093/ageing/afr163</pub-id><pub-id pub-id-type="medline">22166684</pub-id></nlm-citation></ref><ref id="ref53"><label>53</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Keall</surname><given-names>MD</given-names> </name><name name-style="western"><surname>Pierse</surname><given-names>N</given-names> </name><name name-style="western"><surname>Howden-Chapman</surname><given-names>P</given-names> </name><etal/></person-group><article-title>Home modifications to reduce injuries from falls in the home injury prevention intervention (HIPI) study: a cluster-randomised controlled trial</article-title><source>Lancet</source><year>2015</year><month>01</month><day>17</day><volume>385</volume><issue>9964</issue><fpage>231</fpage><lpage>238</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(14)61006-0</pub-id><pub-id pub-id-type="medline">25255696</pub-id></nlm-citation></ref><ref id="ref54"><label>54</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Conradie</surname><given-names>T</given-names> </name><name name-style="western"><surname>Berner</surname><given-names>K</given-names> </name><name name-style="western"><surname>Louw</surname><given-names>Q</given-names> </name></person-group><article-title>Describing the rehabilitation workforce capacity in the public sector of three rural provinces in South Africa: a cross-sectional study</article-title><source>Int J Environ Res Public Health</source><year>2022</year><month>09</month><day>26</day><volume>19</volume><issue>19</issue><fpage>12176</fpage><pub-id pub-id-type="doi">10.3390/ijerph191912176</pub-id><pub-id pub-id-type="medline">36231495</pub-id></nlm-citation></ref><ref id="ref55"><label>55</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ghassi</surname><given-names>HT</given-names> </name><name name-style="western"><surname>Muntessu Nsangou</surname><given-names>DL</given-names> </name><name name-style="western"><surname>Buh</surname><given-names>FC</given-names> </name><name name-style="western"><surname>Anwar</surname><given-names>F</given-names> </name></person-group><article-title>Falls in older adults in sub-Saharan Africa: an urgent call for rehabilitation-centred action</article-title><source>BMJ Public Health</source><year>2026</year><volume>4</volume><issue>1</issue><fpage>e004402</fpage><pub-id pub-id-type="doi">10.1136/bmjph-2025-004402</pub-id><pub-id pub-id-type="medline">41626609</pub-id></nlm-citation></ref><ref id="ref56"><label>56</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Schulz</surname><given-names>R</given-names> </name><name name-style="western"><surname>Beach</surname><given-names>SR</given-names> </name><name name-style="western"><surname>Czaja</surname><given-names>SJ</given-names> </name><name name-style="western"><surname>Martire</surname><given-names>LM</given-names> </name><name name-style="western"><surname>Monin</surname><given-names>JK</given-names> </name></person-group><article-title>Family caregiving for older adults</article-title><source>Annu Rev Psychol</source><year>2020</year><month>01</month><day>4</day><volume>71</volume><fpage>635</fpage><lpage>659</lpage><pub-id pub-id-type="doi">10.1146/annurev-psych-010419-050754</pub-id><pub-id pub-id-type="medline">31905111</pub-id></nlm-citation></ref><ref id="ref57"><label>57</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Yempabe</surname><given-names>T</given-names> </name><name name-style="western"><surname>Edusei</surname><given-names>A</given-names> </name><name name-style="western"><surname>Donkor</surname><given-names>P</given-names> </name><name name-style="western"><surname>Buunaaim</surname><given-names>A</given-names> </name><name name-style="western"><surname>Mock</surname><given-names>C</given-names> </name></person-group><article-title>Factors affecting utilization of traditional bonesetters in the Northern Region of Ghana</article-title><source>Afr J Emerg Med</source><year>2021</year><month>03</month><volume>11</volume><issue>1</issue><fpage>105</fpage><lpage>110</lpage><pub-id pub-id-type="doi">10.1016/j.afjem.2020.09.002</pub-id><pub-id pub-id-type="medline">33680729</pub-id></nlm-citation></ref><ref id="ref58"><label>58</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Montero-Odasso</surname><given-names>M</given-names> </name><name name-style="western"><surname>van der Velde</surname><given-names>N</given-names> </name><name name-style="western"><surname>Martin</surname><given-names>FC</given-names> </name><etal/></person-group><article-title>World guidelines for falls prevention and management for older adults: a global initiative</article-title><source>Age Ageing</source><year>2022</year><month>09</month><day>2</day><volume>51</volume><issue>9</issue><fpage>afac205</fpage><pub-id pub-id-type="doi">10.1093/ageing/afac205</pub-id><pub-id pub-id-type="medline">36178003</pub-id></nlm-citation></ref><ref id="ref59"><label>59</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Jamison</surname><given-names>DT</given-names> </name><name name-style="western"><surname>Summers</surname><given-names>LH</given-names> </name><name name-style="western"><surname>Alleyne</surname><given-names>G</given-names> </name><etal/></person-group><article-title>Global health 2035: a world converging within a generation</article-title><source>Lancet</source><year>2013</year><month>12</month><volume>382</volume><issue>9908</issue><fpage>1898</fpage><lpage>1955</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(13)62105-4</pub-id><pub-id pub-id-type="medline">24309475</pub-id></nlm-citation></ref><ref id="ref60"><label>60</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2019 Universal Health Coverage Collaborators</collab></person-group><article-title>Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019</article-title><source>Lancet</source><year>2020</year><month>10</month><volume>396</volume><issue>10258</issue><fpage>1250</fpage><lpage>1284</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(20)30750-9</pub-id><pub-id pub-id-type="medline">32861314</pub-id></nlm-citation></ref><ref id="ref61"><label>61</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bautmans</surname><given-names>I</given-names> </name><name name-style="western"><surname>Knoop</surname><given-names>V</given-names> </name><name name-style="western"><surname>Amuthavalli Thiyagarajan</surname><given-names>J</given-names> </name><etal/></person-group><article-title>WHO working definition of vitality capacity for healthy longevity monitoring</article-title><source>Lancet Healthy Longev</source><year>2022</year><month>11</month><volume>3</volume><issue>11</issue><fpage>e789</fpage><lpage>e796</lpage><pub-id pub-id-type="doi">10.1016/S2666-7568(22)00200-8</pub-id><pub-id pub-id-type="medline">36356628</pub-id></nlm-citation></ref><ref id="ref62"><label>62</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sum</surname><given-names>G</given-names> </name><name name-style="western"><surname>Lau</surname><given-names>LK</given-names> </name><name name-style="western"><surname>Jabbar</surname><given-names>KA</given-names> </name><etal/></person-group><article-title>The World Health Organization (WHO) Integrated Care for Older People (ICOPE) framework: a narrative review on its adoption worldwide and lessons learnt</article-title><source>Int J Environ Res Public Health</source><year>2022</year><month>12</month><day>22</day><volume>20</volume><issue>1</issue><fpage>154</fpage><pub-id pub-id-type="doi">10.3390/ijerph20010154</pub-id><pub-id pub-id-type="medline">36612480</pub-id></nlm-citation></ref><ref id="ref63"><label>63</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Tavassoli</surname><given-names>N</given-names> </name><name name-style="western"><surname>de Souto Barreto</surname><given-names>P</given-names> </name><name name-style="western"><surname>Berbon</surname><given-names>C</given-names> </name><etal/></person-group><article-title>Implementation of the WHO Integrated Care for Older People (ICOPE) programme in clinical practice: a prospective study</article-title><source>Lancet Healthy Longev</source><year>2022</year><month>06</month><volume>3</volume><issue>6</issue><fpage>e394</fpage><lpage>e404</lpage><pub-id pub-id-type="doi">10.1016/S2666-7568(22)00097-6</pub-id><pub-id pub-id-type="medline">36098317</pub-id></nlm-citation></ref><ref id="ref64"><label>64</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kuzuya</surname><given-names>M</given-names> </name><name name-style="western"><surname>Kanno</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Arai</surname><given-names>H</given-names> </name><etal/></person-group><article-title>Guidelines for nutritional management of sarcopenia and frailty 2025. Guest editor: Masafumi Kuzuya. This publication has been supported by the Japan Geriatrics Society and National Center for Geriatrics and Gerontology (NCGG) (Japan)</article-title><source>Geriatr Gerontol Int</source><year>2025</year><month>12</month><volume>25 Suppl 2</volume><fpage>5</fpage><lpage>53</lpage><pub-id pub-id-type="doi">10.1111/ggi.70275</pub-id><pub-id pub-id-type="medline">41524691</pub-id></nlm-citation></ref><ref id="ref65"><label>65</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhang</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Diao</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Fu</surname><given-names>M</given-names> </name><etal/></person-group><article-title>Self-reported sleep duration and recurrent falls in people aged 50 and above: evidence from two prospective cohorts</article-title><source>J Epidemiol Community Health</source><year>2025</year><month>12</month><day>25</day><pub-id pub-id-type="doi">10.1136/jech-2025-224958</pub-id><pub-id pub-id-type="medline">41448939</pub-id></nlm-citation></ref><ref id="ref66"><label>66</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Drahota</surname><given-names>A</given-names> </name><name name-style="western"><surname>Udell</surname><given-names>JE</given-names> </name><name name-style="western"><surname>Mackenzie</surname><given-names>H</given-names> </name><name name-style="western"><surname>Pugh</surname><given-names>MT</given-names> </name></person-group><article-title>Psychological and educational interventions for preventing falls in older people living in the community</article-title><source>Cochrane Database Syst Rev</source><year>2024</year><month>10</month><day>3</day><volume>10</volume><issue>10</issue><fpage>CD013480</fpage><pub-id pub-id-type="doi">10.1002/14651858.CD013480.pub2</pub-id><pub-id pub-id-type="medline">39360568</pub-id></nlm-citation></ref><ref id="ref67"><label>67</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chen</surname><given-names>W</given-names> </name><name name-style="western"><surname>Li</surname><given-names>M</given-names> </name><name name-style="western"><surname>Li</surname><given-names>H</given-names> </name><name name-style="western"><surname>Lin</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Feng</surname><given-names>Z</given-names> </name></person-group><article-title>Tai Chi for fall prevention and balance improvement in older adults: a systematic review and meta-analysis of randomized controlled trials</article-title><source>Front Public Health</source><year>2023</year><volume>11</volume><fpage>1236050</fpage><pub-id pub-id-type="doi">10.3389/fpubh.2023.1236050</pub-id><pub-id pub-id-type="medline">37736087</pub-id></nlm-citation></ref><ref id="ref68"><label>68</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Yang</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Wang</surname><given-names>K</given-names> </name><name name-style="western"><surname>Liu</surname><given-names>H</given-names> </name><etal/></person-group><article-title>The impact of Otago exercise programme on the prevention of falls in older adult: a systematic review</article-title><source>Front Public Health</source><year>2022</year><volume>10</volume><fpage>953593</fpage><pub-id pub-id-type="doi">10.3389/fpubh.2022.953593</pub-id><pub-id pub-id-type="medline">36339194</pub-id></nlm-citation></ref><ref id="ref69"><label>69</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Keall</surname><given-names>MD</given-names> </name><name name-style="western"><surname>Tupara</surname><given-names>H</given-names> </name><name name-style="western"><surname>Pierse</surname><given-names>N</given-names> </name><etal/></person-group><article-title>Home modifications to prevent home fall injuries in houses with M&#x0101;ori occupants (MHIPI): a randomised controlled trial</article-title><source>Lancet Public Health</source><year>2021</year><month>09</month><volume>6</volume><issue>9</issue><fpage>e631</fpage><lpage>e640</lpage><pub-id pub-id-type="doi">10.1016/S2468-2667(21)00135-3</pub-id><pub-id pub-id-type="medline">34371005</pub-id></nlm-citation></ref><ref id="ref70"><label>70</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Stark</surname><given-names>S</given-names> </name><name name-style="western"><surname>Keglovits</surname><given-names>M</given-names> </name><name name-style="western"><surname>Somerville</surname><given-names>E</given-names> </name><etal/></person-group><article-title>Home hazard removal to reduce falls among community-dwelling older adults: a randomized clinical trial</article-title><source>JAMA Netw Open</source><year>2021</year><month>08</month><day>2</day><volume>4</volume><issue>8</issue><fpage>e2122044</fpage><pub-id pub-id-type="doi">10.1001/jamanetworkopen.2021.22044</pub-id><pub-id pub-id-type="medline">34463746</pub-id></nlm-citation></ref><ref id="ref71"><label>71</label><nlm-citation citation-type="web"><article-title>Global age-friendly cities: a guide</article-title><source>World Health Organization</source><year>2007</year><access-date>2026-04-02</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://www.who.int/publications/i/item/9789241547307">https://www.who.int/publications/i/item/9789241547307</ext-link></comment></nlm-citation></ref><ref id="ref72"><label>72</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chen</surname><given-names>C</given-names> </name><name name-style="western"><surname>Ding</surname><given-names>S</given-names> </name><name name-style="western"><surname>Wang</surname><given-names>J</given-names> </name></person-group><article-title>Digital health for aging populations</article-title><source>Nat Med</source><year>2023</year><month>07</month><volume>29</volume><issue>7</issue><fpage>1623</fpage><lpage>1630</lpage><pub-id pub-id-type="doi">10.1038/s41591-023-02391-8</pub-id><pub-id pub-id-type="medline">37464029</pub-id></nlm-citation></ref><ref id="ref73"><label>73</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Maita</surname><given-names>KC</given-names> </name><name name-style="western"><surname>Maniaci</surname><given-names>MJ</given-names> </name><name name-style="western"><surname>Haider</surname><given-names>CR</given-names> </name><etal/></person-group><article-title>The impact of digital health solutions on bridging the health care gap in rural areas: a scoping review</article-title><source>Perm J</source><year>2024</year><month>09</month><day>16</day><volume>28</volume><issue>3</issue><fpage>130</fpage><lpage>143</lpage><pub-id pub-id-type="doi">10.7812/TPP/23.134</pub-id><pub-id pub-id-type="medline">39135461</pub-id></nlm-citation></ref><ref id="ref74"><label>74</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Konara Mudiyanselage</surname><given-names>SP</given-names> </name><name name-style="western"><surname>Yao</surname><given-names>CT</given-names> </name><name name-style="western"><surname>Maithreepala</surname><given-names>SD</given-names> </name><name name-style="western"><surname>Lee</surname><given-names>BO</given-names> </name></person-group><article-title>Emerging digital technologies used for fall detection in older adults in aged care: a scoping review</article-title><source>J Am Med Dir Assoc</source><year>2025</year><month>01</month><volume>26</volume><issue>1</issue><fpage>105330</fpage><pub-id pub-id-type="doi">10.1016/j.jamda.2024.105330</pub-id><pub-id pub-id-type="medline">39492106</pub-id></nlm-citation></ref><ref id="ref75"><label>75</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Pech</surname><given-names>M</given-names> </name><name name-style="western"><surname>Sauzeon</surname><given-names>H</given-names> </name><name name-style="western"><surname>Yebda</surname><given-names>T</given-names> </name><name name-style="western"><surname>Benois-Pineau</surname><given-names>J</given-names> </name><name name-style="western"><surname>Amieva</surname><given-names>H</given-names> </name></person-group><article-title>Falls detection and prevention systems in home care for older adults: myth or reality?</article-title><source>JMIR Aging</source><year>2021</year><month>12</month><day>9</day><volume>4</volume><issue>4</issue><fpage>e29744</fpage><pub-id pub-id-type="doi">10.2196/29744</pub-id><pub-id pub-id-type="medline">34889755</pub-id></nlm-citation></ref><ref id="ref76"><label>76</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Tsekoura</surname><given-names>M</given-names> </name><name name-style="western"><surname>Kastrinis</surname><given-names>A</given-names> </name><name name-style="western"><surname>Nomikou</surname><given-names>E</given-names> </name><name name-style="western"><surname>Katsoulaki</surname><given-names>M</given-names> </name></person-group><article-title>Telerehabilitation and fall prevention in older adults</article-title><source>Adv Exp Med Biol</source><year>2023</year><volume>1425</volume><fpage>485</fpage><lpage>489</lpage><pub-id pub-id-type="doi">10.1007/978-3-031-31986-0_47</pub-id><pub-id pub-id-type="medline">37581822</pub-id></nlm-citation></ref><ref id="ref77"><label>77</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Xiao</surname><given-names>H</given-names> </name><name name-style="western"><surname>Zeng</surname><given-names>W</given-names> </name><name name-style="western"><surname>Lu</surname><given-names>L</given-names> </name><name name-style="western"><surname>Yuan</surname><given-names>J</given-names> </name><name name-style="western"><surname>Yan</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Wang</surname><given-names>J</given-names> </name></person-group><article-title>Effectiveness of telerehabilitation in postoperative outcomes in patients on hip fracture surgery: a meta-analysis of randomized controlled trials</article-title><source>BMC Sports Sci Med Rehabil</source><year>2025</year><month>05</month><day>26</day><volume>17</volume><issue>1</issue><fpage>130</fpage><pub-id pub-id-type="doi">10.1186/s13102-025-01169-4</pub-id><pub-id pub-id-type="medline">40420240</pub-id></nlm-citation></ref></ref-list><app-group><supplementary-material id="app1"><label>Multimedia Appendix 1</label><p>Spatiotemporal patterns of incidence and mortality and Joinpoint regression analyses of temporal trends in falls among adults aged 65 years and older.</p><media xlink:href="aging_v9i1e73802_app1.docx" xlink:title="DOCX File, 9054 KB"/></supplementary-material><supplementary-material id="app2"><label>Multimedia Appendix 2</label><p>Additional results on cross-national variations in fall-related mortality, incidence, disability-adjusted life years, years lived with disability, and years of life lost among adults aged 65 years and older by sociodemographic index level.</p><media xlink:href="aging_v9i1e73802_app2.xlsx" xlink:title="XLSX File, 478 KB"/></supplementary-material></app-group></back></article>