Skip to main content Skip to main navigation menu Skip to site footer
Articles
Published: 2025-02-28

Differences, relationships, and risks of using digital technology with depression, anxiety, and stress during the COVID-19 pandemic

Department of Anatomy, Histology, and Pharmacology Department, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
Department of Psychiatry, Faculty of Medicine Universitas Airlangga/Dr. Soetomo Hospital, Surabaya, Indonesia
Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
Department of Public Health and Preventive Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
Department of Psychiatry, Faculty of Medicine Universitas Airlangga/Dr. Soetomo Hospital, Surabaya, Indonesia
Public Health Division, Faculty of Medicine, Universitas Jember, Jember, Indonesia, 68121
Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
Aging, COVID-19, Digital Gap, Equality, Mental Health, Indonesia

Abstract

Background: The COVID-19 pandemic highlighted the critical need for mental health resilience and digital inclusion, particularly among vulnerable populations. To draw lessons from the pandemic for future public health initiatives, this study examined the mental health status of middle-aged and older Indonesians and its associations with sociodemographic factors, comorbidities, grief experiences, and digital technology use. 

Methods: This cross-sectional study was conducted during the second wave of the COVID-19 pandemic (September–October 2021). An online questionnaire collected data on sociodemographic variables, comorbidities, grief experiences, and digital technology usage. Mental health was assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21).

Results: From total 199 enrolled in this study, prevalence rates for depression, anxiety, and stress were 11.1%, 33.7%, and 19.5%, respectively. Depression was associated solely with marital status, while anxiety was influenced by marital status, comorbidities, and the use of digital technology for health information access (p<0.05). Stress was impacted by gender, marital status, comorbidities, and digital technology usage (p<0.05). Multivariate analysis confirmed that infrequent digital technology use predicted higher levels of depression and anxiety (aOR, 2.82, CI 1.14-6.96; 2.36, CI 1.26-4.43; p<0.05). Females, unmarried individuals (aOR, 2.38, CI 1.08-5.25; 2.37, CI 1.11-5.09; p<0.05), and those with comorbidities were at greater risk for mental health challenges (aOR, 3.92, CI 1.43-10.75; p<0.05). However, inadequate digital technology skills were linked to lower stress likelihood (aOR, 0.37, CI 0.144-0.95; p<0.05).

Conclusion: This study underscores the importance of bridging the digital gap and addressing social determinants to strengthen mental health resilience among middle-aged and older adults in Indonesia. Post-pandemic, integrating digital inclusion strategies into public health initiatives is vital for fostering equitable mental health outcomes.



Downloads

Download data is not yet available.

References

  1. Kalanjati VP, Hasanatuludhhiyah N, d’Arqom A, Muhammad A, Marchianti ACN, Arsyi DH, et al. Health literacy on COVID-19 and COVID-19 vaccinations in Indonesia. F1000Res. 2022 Nov 11;11:1296.
  2. World Health Organization. First meeting of the Technical Advisory Group on the mental health impacts of COVID-19 in the WHO European Region: virtual meeting, 23 February 2021, 10: 00–12: 00 CET [Internet]. 2021. Available from: https://www.who.int/europe/publications/i/item/WHO-EURO-2021-2198-41953-57643
  3. Hafidz F, Adiwibowo IR, Kusila GR, Oktavia A, Saut B, Jaya C, et al. Knowledge, attitudes, and practices related to COVID-19 in Indonesia: A post delta variant wave cross-sectional study. Front Public Health [Internet]. 2023;11. Available from: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2023.1072196
  4. Mahendradhata Y, Andayani NLPE, Hasri ET, Arifi MD, Siahaan RGM, Solikha DA, et al. The Capacity of the Indonesian Healthcare System to Respond to COVID-19. Front Public Health [Internet]. 2021;9. Available from: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.649819
  5. Luo W, Liu Z, Zhou Y, Zhao Y, Li YE, Masrur A, et al. Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method. JMIR Public Health Surveill [Internet]. 2022;8(8):e35840. Available from: https://publichealth.jmir.org/2022/8/e35840
  6. Giovanni Bonaccorsia, Francesco Pierrib, Matteo Cinellic, Andrea Floria, Alessandro Galeazzid, Francesco Porcellie, et al. Economic and social consequences of human mobility restrictions under COVID-19. 2020;117:15530–5.
  7. Mezzina R, Gopikumar V, Jenkins J, Saraceno B, Sashidharan SP. Social Vulnerability and Mental Health Inequalities in the “Syndemic”: Call for Action. Front Psychiatry [Internet]. 2022;13. Available from: https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2022.894370
  8. D’arqom A, Sawitri B, Nasution Z, Lazuardi R. “Anti-COVID-19” Medications, Supplements, and Mental Health Status in Indonesian Mothers with School-Age Children. Int J Womens Health. 2021;13:699–709.
  9. Fauk NK, Ernawati, Dent E, Asa GA, Ward PR. Impact of COVID-19 Lockdowns on the Activity and Mental Health of Older People in Indonesia: A Qualitative Study. Int J Environ Res Public Health. 2022 Oct 1;19(20).
  10. Yan Y, Du X, Lai L, Ren Z, Li H. Prevalence of depressive and anxiety symptoms among Chinese older adults during the COVID-19 pandemic: A systematic review and meta-analysis. J Geriatr Psychiatry Neurol [Internet]. 2022 Mar 1;35(2):182–95. Available from: https://doi.org/10.1177/08919887221078556
  11. Department of Economic and Social Affairs United Nations. Digital technologies critical in facing COVID-19 pandemic [Internet]. 2020. Available from: https://www.un.org/fr/desa/digital-technologies-critical-facing-covid-19-pandemic
  12. Noone C, McSharry J, Smalle M, Burns A, Dwan K, Devane D, et al. Video calls for reducing social isolation and loneliness in older people: a rapid review. Cochrane Database of Systematic Reviews [Internet]. 2020;(5). Available from: https://doi.org//10.1002/14651858.CD013632
  13. Budd J, Miller BS, Manning EM, Lampos V, Zhuang M, Edelstein M, et al. Digital technologies in the public-health response to COVID-19. Nat Med [Internet]. 2020;26(8):1183–92. Available from: https://doi.org/10.1038/s41591-020-1011-4
  14. Martins Van Jaarsveld G. The Effects of COVID-19 Among the Elderly Population: A Case for Closing the Digital Divide. Front Psychiatry [Internet]. 2020;11. Available from: https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2020.577427
  15. World Health Organization. Technical Advisory Group on the mental health impacts of COVID-19 in the WHO European Region briefing: mental health impacts of COVID-19 across the European Region and associated opportunities for action [Internet]. 2022. Available from: https://www.who.int/europe/groups/technical-advisory-group-on-the-mental-health-impacts-of-covid-19-in-the-who-european-region#:~:text=The%20Technical%20Advisory%20Group%20(TAG,base%2C%20key%20emergent%20needs%20and
  16. Bajoulvand R, Hashemi S, Askari E, Mohammadi R, Behzadifar M, Imani-Nasab MH. Post-pandemic stress of COVID-19 among high-risk groups: A systematic review and meta-analysis. J Affect Disord [Internet]. 2022;319:638–45. Available from: https://www.sciencedirect.com/science/article/pii/S016503272201059X
  17. Yunitri N, Chu H, Kang XL, Jen HJ, Pien LC, Tsai HT, et al. Global prevalence and associated risk factors of posttraumatic stress disorder during COVID-19 pandemic: A meta-analysis. Int J Nurs Stud [Internet]. 2022;126:104136. Available from: https://www.sciencedirect.com/science/article/pii/S0020748921002819
  18. Pierce M, Hope H, Ford T, Hatch S, Hotopf M, John A, et al. Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry. 2020 Oct 1;7(10):883–92.
  19. Santabárbara J, Lasheras I, Lipnicki DM, Bueno-Notivol J, Pérez-Moreno M, López-Antón R, et al. Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies. Prog Neuropsychopharmacol Biol Psychiatry [Internet]. 2021;109:110207. Available from: https://www.sciencedirect.com/science/article/pii/S0278584620305236
  20. Li SH, Graham BM. Why are women so vulnerable to anxiety, trauma-related and stress-related disorders? The potential role of sex hormones. Lancet Psychiatry [Internet]. 2017;4(1):73–82. Available from: https://www.sciencedirect.com/science/article/pii/S2215036616303583
  21. Creese B, Khan Z, Henley W, O’Dwyer S, Corbett A, Vasconcelos Da Silva M, et al. Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020. Int Psychogeriatr [Internet]. 2020/12/17. 2021;33(5):505–14. Available from: https://www.cambridge.org/core/product/3ABF68EC662FA64D8B638362B24A740A
  22. Takayama A, Takeshima T, Omae K, Yoshioka T, Nakagawa H, Ozaka A, et al. Differences in attitude toward COVID-19 based on internet and social media usage among community-dwelling older adults during the first state of emergency. Geriatr Gerontol Int [Internet]. 2023 Apr 1;23(4):289–96. Available from: https://doi.org/10.1111/ggi.14568
  23. Győrffy Z, Boros J, Döbrössy B, Girasek E. Older adults in the digital health era: insights on the digital health related knowledge, habits and attitudes of the 65 year and older population. BMC Geriatr [Internet]. 2023;23(1):779. Available from: https://doi.org/10.1186/s12877-023-04437-5
  24. Rodriguez JA, Shachar C, Bates DW. Digital Inclusion as Health Care — Supporting Health Care Equity with Digital-Infrastructure Initiatives. New England Journal of Medicine [Internet]. 2022 Mar 23;386(12):1101–3. Available from: https://doi.org/10.1056/NEJMp2115646
  25. Frishammar J, Essén A, Bergström F, Ekman T. Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technol Forecast Soc Change [Internet]. 2023;189:122319. Available from: https://www.sciencedirect.com/science/article/pii/S0040162523000045


How to Cite

1.
Hasanatuludhhiyah N, Sawitri B, Rahman BAI, Atika A, Yulianti E, Marchianti ACN, Visuddho V. Differences, relationships, and risks of using digital technology with depression, anxiety, and stress during the COVID-19 pandemic. J Ideas Health [Internet]. 2025 Feb. 28 [cited 2025 Mar. 17];8(1):1247-53. Available from: https://jidhealth.com/index.php/jidhealth/article/view/402