Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13050, first published .
Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study

Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study

Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study

Journals

  1. Hamideh D, Nebeker C. The Digital Health Landscape in Addiction and Substance Use Research: Will Digital Health Exacerbate or Mitigate Health Inequities in Vulnerable Populations?. Current Addiction Reports 2020;7(3):317 View
  2. Pasipanodya E, Kohli M, Fisher C, Moore D, Curtis B. Perceived risks and amelioration of harm in research using mobile technology to support antiretroviral therapy adherence in the context of methamphetamine use: a focus group study among minorities living with HIV. Harm Reduction Journal 2020;17(1) View
  3. ÖZDEMİR A, ÇİFTÇİ H, DAĞILGAN S, ÜNAL E. Bursa Uludağ Üniversitesi Sağlık Bilimleri Fakültesi Hemşirelik Öğrencilerinin Akıllı Telefon Kullanım Durumu ve Bağımlılık Düzeylerinin Belirlenmesi. Uludağ Üniversitesi Tıp Fakültesi Dergisi 2019;45(3):281 View
  4. Fong B, Wong M, Law V, Lo M, Ng T, Yee H, Leung T, Ho P. Relationships between Physical and Social Behavioural Changes and the Mental Status of Homebound Residents in Hong Kong during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020;17(18):6653 View
  5. Blanco C, Wiley T, Lloyd J, Lopez M, Volkow N. America’s opioid crisis: the need for an integrated public health approach. Translational Psychiatry 2020;10(1) View
  6. Bailey S, Zhang Y, Ramesh A, Golbeck J, Getoor L. A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Transactions on the Web 2021;15(1):1 View
  7. Cohen K, Stiles-Shields C, Winquist N, Lattie E. Traditional and Nontraditional Mental Healthcare Services: Usage and Preferences Among Adolescents and Younger Adults. The Journal of Behavioral Health Services & Research 2021;48(4):537 View
  8. Лапидус Л, Гостилович А, Омарова Ш, Кязимов К, Хубиев И. Portrait of Generation Z as online consumers in digital economy era in Russia. Маркетинг и маркетинговые исследования 2020;4:260 View
  9. Schoenberg N, Dunfee M, Yeager H, Rutledge M, Pfammatter A, Spring B. Rural Residents’ Perspectives on an mHealth or Personalized Health Coaching Intervention: Qualitative Study With Focus Groups and Key Informant Interviews. JMIR Formative Research 2021;5(2):e18853 View
  10. Nguyen V, Lyden E, Yoachim S. Using Instagram as a tool to enhance anatomy learning at two US dental schools. Journal of Dental Education 2021;85(9):1525 View
  11. Graham J, Dong S, Kinahan J, Sutherland S, Newhook D, Hébert Y, Klaassen R. Integration of Patient-reported Outcome Measures in Pediatric Hematology: A Qualitative Methods Study. Journal of Pediatric Hematology/Oncology 2023;45(1):e60 View
  12. Senchenko V, Kaverzneva T, Kitaev S, Abdrakhmanov N. TRANSFORMATION OF THE FORMAT OF LABOR PROTECTION REQUIREMENTS IN CONNECTION WITH CONSUMER HABITS OF INFORMATION PERCEPTION. Economics Profession Business 2021;(4):59 View
  13. Adams Z, Grant M, Hupp S, Scott T, Feagans A, Phillips M, Bixler K, Nallam P, La Putt D. Acceptability of an mHealth App for Youth With Substance Use and Mental Health Needs: Iterative, Mixed Methods Design. JMIR Formative Research 2021;5(12):e30268 View
  14. Hu Q, Hu X, Hou P. One Social Media, Distinct Habitus: Generation Z's Social Media Uses and Gratifications and the Moderation Effect of Economic Capital. Frontiers in Psychology 2022;13 View
  15. Labzovskii L, Hey J, Romanov A, Golovatina-Mora P, Belikov D, Lashkari A, Kenea S, Hekman E. Who should measure air quality in modern cities? The example of decentralization of urban air quality monitoring in Krasnoyarsk (Siberia, Russia). Environmental Science & Policy 2023;140:93 View
  16. Phelan C, Heyer J, Pfafman R, Kerrigan C, Tzilos Wernette G, Dombrowski L, Miller A, Pater J. The Work of Digital Social Re-entry in Substance Use Disorder Recovery. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  17. Farsi D, Martinez-Menchaca H, Ahmed M, Farsi N. Social Media and Health Care (Part II): Narrative Review of Social Media Use by Patients. Journal of Medical Internet Research 2022;24(1):e30379 View
  18. Rao N, Tighe E, Feinberg I. The Dispersion of Health Information–Seeking Behavior and Health Literacy in a State in the Southern United States: Cross-sectional Study. JMIR Formative Research 2022;6(6):e34708 View
  19. Gan D, McGillivray L, Larsen M, Christensen H, Torok M. Technology-supported strategies for promoting user engagement with digital mental health interventions: A systematic review. DIGITAL HEALTH 2022;8:205520762210982 View
  20. Eskin Bacaksiz F, Tuna R, Alan H. Nomophobia, netlessphobia, and fear of missing out in nursing students: A cross-sectional study in distance education. Nurse Education Today 2022;118:105523 View
  21. Mude G, Undale S. Social Media Usage. International Journal of E-Business Research 2023;19(1):1 View
  22. Axcell S, Ellis D. Exploring the attitudes and behaviour of Gen Z students towards branded mobile apps in an emerging market: UTAUT2 model extension. Young Consumers 2023;24(2):184 View
  23. Hsu M, Martin B, Ahmed S, Torous J, Suzuki J. Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites. JMIR Formative Research 2022;6(7):e38684 View
  24. Bizzotto N, Marciano L, de Bruijn G, Schulz P. The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e36964 View
  25. Kiburi S, Paruk S, Chiliza B. Mobile phone ownership, digital technology use and acceptability of digital interventions among individuals on opioid use disorder treatment in Kenya. Frontiers in Digital Health 2022;4 View
  26. d'Halluin A, Costa M, Morgiève M, Sebbane D. Attitudes of Children, Adolescents, and Their Parents Toward Digital Health Interventions: Scoping Review. Journal of Medical Internet Research 2023;25:e43102 View
  27. Cohen K, Dobias M, Morris R, Schleider J. Improving uptake of mental health crisis resources: Randomized test of a single-session intervention embedded in social media. Journal of Behavioral and Cognitive Therapy 2023;33(1):24 View
  28. Curtis B, Giorgi S, Ungar L, Vu H, Yaden D, Liu T, Yadeta K, Schwartz H. AI-based analysis of social media language predicts addiction treatment dropout at 90 days. Neuropsychopharmacology 2023;48(11):1579 View
  29. Rahmat W, Tiawati R, Kemal E, Tatalia R, Azri H, Wulandari Y. How Do the Young People Picture Out Their Use, Activeness, and Connectivity on Social Media? A Discourse Analysis Approach. Journal of Communication Inquiry 2023:019685992311748 View
  30. Szkody E, Chang Y, Schleider J. Serving the Underserved? Uptake, Effectiveness, and Acceptability of Digital SSIs for Rural American Adolescents. Journal of Clinical Child & Adolescent Psychology 2023:1 View
  31. Cunningham P, Gilmore J, Naar S, Preston S, Eubanks C, Hubig N, McClendon J, Ghosh S, Ryan-Pettes S. Opening the Black Box of Family-Based Treatments: An Artificial Intelligence Framework to Examine Therapeutic Alliance and Therapist Empathy. Clinical Child and Family Psychology Review 2023;26(4):975 View
  32. Jordan H, Sahni S, Ahmed M, Fares J, Desai B, Lenchur C, Jermyn R. A Comprehensive Literature Review of Digital Health Interventions in the Treatment of Substance Use Disorder With Special Focus on Mobile Applications. Cureus 2023 View
  33. Brooks H, Irmansyah I, Syarif A, Pedley R, Renwick L, Rahayu A, Manik C, Prawira B, Hann M, Brierley H, Lovell K, Bee P. Evaluating a prototype digital mental health literacy intervention for children and young people aged 11–15 in Java, Indonesia: a mixed methods, multi-site case study evaluation. Child and Adolescent Psychiatry and Mental Health 2023;17(1) View
  34. Lee Y, Nguyen M, Yang Q. Factors Influencing Vietnamese Generation MZ’s Adoption of Metaverse Platforms. Sustainability 2023;15(20):14940 View
  35. Aydin G. Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(3):353 View
  36. Sweileh W. Technology-based interventions for tobacco smoking prevention and treatment: a 20-year bibliometric analysis (2003–2022). Substance Abuse Treatment, Prevention, and Policy 2024;19(1) View
  37. Côté J, Chicoine G, Vinette B, Auger P, Rouleau G, Fontaine G, Jutras-Aswad D. Digital Interventions for Recreational Cannabis Use Among Young Adults: Systematic Review, Meta-Analysis, and Behavior Change Technique Analysis of Randomized Controlled Studies. Journal of Medical Internet Research 2024;26:e55031 View
  38. Gagnon M, Brilz A, Alberts N, Gordon J, Risling T, Stinson J. Understanding Adolescents’ Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study. JMIR Pediatrics and Parenting 2024;7:e54658 View

Books/Policy Documents

  1. Dores A, Geraldo A, Martins H. Digital Therapies in Psychosocial Rehabilitation and Mental Health. View
  2. Slepian R, Vincent A, Patterson H, Furman H. Comprehensive Precision Medicine. View
  3. Hassoubah L, Ryding D, Vignali G. Global Perspectives on Social Media Influencers and Strategic Business Communication. View