Published on in Vol 19, No 3 (2017): March

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Longitudinal Changes in Psychological States in Online Health Community Members: Understanding the Long-Term Effects of Participating in an Online Depression Community

Authors of this article:

Albert Park1 Author Orcid Image ;   Mike Conway1 Author Orcid Image

Journals

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  15. Helle C, Hillesund E, Wills A, Øverby N. Evaluation of an eHealth intervention aiming to promote healthy food habits from infancy -the Norwegian randomized controlled trial Early Food for Future Health. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1) View
  16. Calvo R, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49 View
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  18. Park A, Conway M, Chen A. Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach. Computers in Human Behavior 2018;78:98 View
  19. Choi M, Kim S, Lee S, Kwon B, Yi J, Choo J, Huh J. Toward Predicting Social Support Needs in Online Health Social Networks. Journal of Medical Internet Research 2017;19(8):e272 View
  20. Roystonn K, Vaingankar J, Chua B, Sambasivam R, Shafie S, Jeyagurunathan A, Verma S, Abdin E, Chong S, Subramaniam M. The Public Health Impact and Policy Implications of Online Support Group Use for Mental Health in Singapore: Cross-Sectional Survey. JMIR Mental Health 2020;7(8):e18114 View
  21. Yao X, Yu G, Tian X, Tang J. Patterns and Longitudinal Changes in Negative Emotions of People with Depression on Sina Weibo. Telemedicine and e-Health 2020;26(6):734 View
  22. Mota N, Weissheimer J, Ribeiro M, de Paiva M, Avilla-Souza J, Simabucuru G, Chaves M, Cecchi L, Cirne J, Cecchi G, Rodrigues C, Copelli M, Ribeiro S, Scarpelli S. Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion. PLOS ONE 2020;15(11):e0242903 View
  23. Lynch M, Knezevic I, Ryan K, Cahill N. Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice. Canadian Journal of Dietetic Practice and Research 2021;82(2):79 View
  24. Feng B, Li X, Lin L. Valenced social identities and the digital divide in online health communities. Computers in Human Behavior 2021;122:106812 View
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  27. Hu M, Benson R, Chen A, Zhu S, Conway M. Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing. Drug and Alcohol Dependence 2021;228:109016 View
  28. Boettcher N. Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review. JMIR Mental Health 2021;8(11):e29487 View
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  30. Wang X, Tian X, Pan X, Wei D, Qi Q. What Happens When People with Depression Gather Online?. International Journal of Environmental Research and Public Health 2021;18(16):8762 View
  31. Park A. Tweets Related to Motivation and Physical Activity for Obesity-Related Behavior Change: Descriptive Analysis. Journal of Medical Internet Research 2022;24(7):e15055 View
  32. Shahinyan G, Hu M, Jiang T, Osadchiy V, Sigalos J, Mills J, Kachroo N, Eleswarapu S. Cannabis and male sexual health: contemporary qualitative review and insight into perspectives of young men on the internet. Sexual Medicine Reviews 2023 View
  33. Yao X, Chen S, Yu G. Effects of members’ response styles in an online depression community based on text mining and empirical analysis. Information Processing & Management 2023;60(2):103198 View
  34. Kang Y, McCosker A, Kamstra P, Farmer J. Resilience in Web-Based Mental Health Communities: Building a Resilience Dictionary With Semiautomatic Text Analysis. JMIR Formative Research 2022;6(9):e39013 View
  35. Tang J, Yu G, Yao X. Emotional Contagion in the Online Depression Community. Healthcare 2021;9(12):1609 View
  36. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  37. Gong L, Jiang H, Wu X, Kong Y, Gao Y, Liu H, Guo Y, Hu D. Exploring Users’ Health Behavior Changes in Online Health Communities: Heuristic-Systematic Perspective Study. International Journal of Environmental Research and Public Health 2022;19(18):11783 View
  38. Yao Z, Ni Z, Zhang B, Du J. Do Informational and Emotional Elements Differ between Online Psychological and Physiological Disease Communities in China? A Comparative Study of Depression and Diabetes. International Journal of Environmental Research and Public Health 2022;19(4):2167 View
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  41. Smith C, Miller Hillberg H, Levonian Z. "Thoughts & Prayers" or " ❤️ & ???? ": How the Release of New Reactions on CaringBridge Reshapes Supportive Communication in Health Crises. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  42. Lu Y, Wang X, Su L, Zhao H. Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities. Mathematics 2023;11(21):4412 View
  43. Jagfeld G, Lobban F, Davies R, Boyd R, Rayson P, Jones S, Fornaro M. Posting patterns in peer online support forums and their associations with emotions and mood in bipolar disorder: Exploratory analysis. PLOS ONE 2023;18(9):e0291369 View
  44. Deng S, Cheng X, Hu R. Detecting depression and its severity based on social media digital cues. Industrial Management & Data Systems 2023;123(12):3038 View
  45. Huang L, Liang X, Li L, Xiao H, Xie F. The Impact of Internet Use on the Well-Being of Rural Residents. Agriculture 2023;13(7):1462 View
  46. Nguyen L, Ngwenyama O, Bandyopadhyay A, Nallaperuma K. Realising the potential of digital health communities: a study of the role of social factors in community engagement. European Journal of Information Systems 2023:1 View
  47. Kang Y, McCosker A, Farmer J. Leveraging stylometry analysis to identify unique characteristics of peer support user groups in online mental health forums. Scientific Reports 2023;13(1) View
  48. Fiesler C, Zimmer M, Proferes N, Gilbert S, Jones N. Remember the Human: A Systematic Review of Ethical Considerations in Reddit Research. Proceedings of the ACM on Human-Computer Interaction 2024;8(GROUP):1 View
  49. Wu X, Zhou Y, Zhong B. Measuring social support for depression on social media: A multifaceted study on user interaction and emotional spread. Telematics and Informatics 2024;89:102120 View
  50. Zhao Y, Zhang L. Getting better? Examining the effects of social support in OHCs on users’ emotional improvement. Information Processing & Management 2024;61(4):103754 View
  51. Zhou T, Sun J. Emotional Waves: Decoding User Engagement in Online Healthcare Communities. SSRN Electronic Journal 2024 View
  52. Kaźmierczak I, Jakubowska A, Pietraszkiewicz A, Zajenkowska A, Lacko D, Wawer A, Sarzyńska-Wawer J. Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study 1. Cognition and Emotion 2024:1 View
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