Understanding Why Older Adults With Type 2 Diabetes Join Diabetes Online Communities: Semantic Network Analyses

Journals

1. Zhao D, Zhang Q, Ma F. What is discussed about eldercare?. The Electronic Library 2020;38(2):239 View
2. Litchman M, Edelman L. Perceptions of the Diabetes Online Community’s Credibility, Social Capital, and Help and Harm: Cross-Sectional Comparison Between Baby Boomers and Younger Adults. JMIR Aging 2019;2(2):e10857 View
3. Herrero N, Guerrero-Solé F, Mas-Manchón L. Participation of Patients With Type 2 Diabetes in Online Support Groups is Correlated to Lower Levels of Diabetes Self-Management. Journal of Diabetes Science and Technology 2021;15(1):121 View
4. Lawless M, Archibald M, Pinero de Plaza M, Drioli-Phillips P, Kitson A. Peer-to-Peer Health Communication in Older Adults’ Online Communities: Protocol for a Qualitative Netnographic Study and Co-Design Approach. JMIR Research Protocols 2020;9(9):e19834 View
5. Oser T, Oser S, Parascando J, Hessler-Jones D, Sciamanna C, Sparling K, Nease D, Litchman M. Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers. Current Diabetes Reports 2020;20(3) View
6. Odlum M, Yoon S. Understanding Comorbidities and Their Contribution to Predictors of Medical Resource Utilization for an Age- and Sex-Matched Patient Population Living With HIV: Cross-Sectional Study. JMIR Aging 2019;2(2):e13865 View
7. Litchman M, Walker H, Ng A, Wawrzynski S, Oser S, Greenwood D, Gee P, Lackey M, Oser T. State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities. Journal of Diabetes Science and Technology 2019;13(3):466 View
8. Oser S, Oser T. Qualitative Content Analysis of Type 1 Diabetes Caregiver Blogs and Correlations With Caregiver Challenges and Successes. Journal of Patient Experience 2020;7(6):957 View
9. Wang Q, Zhang W, Cai H, Cao Y. Understanding the perceptions of Chinese women of the commercially available domestic and imported HPV vaccine: A semantic network analysis. Vaccine 2020;38(52):8334 View
10. Vargas Meza X, Koyama S. A social media network analysis of trypophobia communication. Scientific Reports 2022;12(1) View
11. Ceuterick M, Christiaens T, Creupelandt H, Bracke P. And they slept happily ever after: Online interpretive repertoires on the use of benzodiazepines and z-drugs. Health: An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine 2023;27(5):847 View
12. Lawless M, Hunter S, Pinero de Plaza M, Archibald M, Kitson A. “You Are By No Means Alone”: A Netnographic Study of Self-Care Support in an Online Community for Older Adults. Qualitative Health Research 2022;32(13):1935 View
13. Koss J, Bohnet-Joschko S. Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing. JMIR Formative Research 2022;6(10):e39582 View
14. Kjærulff E, Langstrup H. From ‘parallel world’ to ‘trading zone’: How diabetes-related information from social media is (not) discussed in clinical consultations. Social Science & Medicine 2023;320:115756 View
15. Willis E, Friedel K, Heisten M, Pickett M, Bhowmick A. Communicating Health Literacy on Prescription Medications on Social Media: In-depth Interviews With “Patient Influencers”. Journal of Medical Internet Research 2023;25:e41867 View
16. Neely S, Hao F. Diagnosis Disclosure and Peer-to-Peer Information Seeking Among COVID-19–Infected Social Media Users: Survey of US-Based Adults. JMIR Formative Research 2023;7:e48581 View
17. Schmitz M, Muric G, Hickey D, Burghardt K. Do users adopt extremist beliefs from exposure to hate subreddits?. Social Network Analysis and Mining 2024;14(1) View
18. Ma D, Zhou J, Zuo M. Information Seeking and Receiving of Older Adults with Diabetes in the Online Health Community: An Information Need Contextualization Perspective. Health Communication 2024:1 View