More Frequent Internet Use during the COVID-19 Pandemic Associates with Enhanced Quality of Life and Lower Depression Scores in Middle-Aged and Older Adults

Healthcare - Tập 9 Số 4 - Trang 393
Anna-Stiina Wallinheimo1, Simon Evans1
1Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK

Tóm tắt

Concerns have been raised regarding middle-aged and older adults’ mental health during the coronavirus outbreak. The aim of the current study was to characterise associations between internet use (frequency and purpose), depression symptoms and Quality of Life (QoL) during the pandemic, in individuals aged 55–75. Data (N = 3491) were drawn from the English longitudinal study of ageing (ELSA) cohort study collected in June/July 2020 (while social distancing measures were in place). Associations with frequency of use were tested using analysis of covariance (ANCOVAS), controlling for covariates such as wealth and education. Type of internet use (for communication, information search) was also analysed amongst frequent users. Significant effects of frequency of use were observed (p = 0.01 for depression, p < 0.001 for QoL), with lower depression symptoms and higher QoL scores amongst more frequent users. Regarding purpose of use, those who reported using the internet for communication purposes had higher QoL. However, use for health-related or Government services information searching was associated with more depression symptoms. Results provide important information regarding the potential benefits of internet use for middle-aged and older people, suggesting that strategies to increase internet usage (particularly for communication) might benefit middle-aged and older adults’ mental health and counter isolation as the coronavirus crisis continues to evolve.

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Tài liệu tham khảo

Douglas, 2017, Social participation as an indicator of successful aging: An overview of concepts and their associations with health, Aust. Health Rev., 41, 455, 10.1071/AH16038

Ganz, 2020, Impact of Social Isolation Due to COVID-19 on Health in Older People: Mental and Physical Effects and Recommendations, J. Nutr. Health Aging, 24, 938, 10.1007/s12603-020-1500-7

Benke, 2020, Lockdown, quarantine measures, and social distancing: Associations with depression, anxiety and distress at the beginning of the COVID-19 pandemic among adults from Germany, Psychiatry Res., 293, 113462, 10.1016/j.psychres.2020.113462

Vahia, 2020, Older Adults and the Mental Health Effects of COVID-19, JAMA, 324, 2253, 10.1001/jama.2020.21753

Holmes, 2020, Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science, Lancet Psychiatry, 7, 547, 10.1016/S2215-0366(20)30168-1

Nguyen, M.H., Hargittai, E., and Marler, W. (2021). Digital Inequality in Communication During A Time of Physical Distancing: The Case of Covid-19. Comput. Hum. Behav., 106717.

Office for National Statistics (2021, January 01). Internet Users, UK, Available online: https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/bulletins/internetusers/2019.

Harvey, 2020, A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills, J. Vis. Exp., 2020, e60330

Forsman, 2017, Psychosocial Links between Internet Use and Mental Health in Later Life: A Systematic Review of Quantitative and Qualitative Evidence, J. Appl. Gerontol., 36, 1471, 10.1177/0733464815595509

Wang, J., Liang, C., and Li, K. (2020). Impact of Internet Use on Elderly Health: Empirical Study Based on Chinese General Social Survey (CGSS) Data. Healthcare, 8.

Cotten, 2014, Internet Use and Depression Among Retired Older Adults in the United States: A Longitudinal Analysis, J. Gerontol. Ser. B Psychol. Sci. Soc. Sci., 69, 763

Cotten, 2013, Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-Sectional Analysis, J. Med Internet Res., 15, e39, 10.2196/jmir.2306

Sum, 2008, Internet Use and Loneliness in Older Adults, CyberPsychology Behav., 11, 208, 10.1089/cpb.2007.0010

Aggarwal, 2020, Impact of the use of the internet on quality of life in older adults: Review of literature, Prim. Health Care Res. Dev., 21, e55, 10.1017/S1463423620000584

Steptoe, 2013, Cohort Profile: The English Longitudinal Study of Ageing, Int. J. Epidemiol., 42, 1640, 10.1093/ije/dys168

Quintana, D., Cervantes, A., Saez, Y., and Isasi, P. (2018). Internet Use and Psychological Well-Being at Advanced Age: Evidence from the English Longitudinal Study of Aging. Int. J. Environ. Res. Public Health, 15.

Lam, 2020, Exploring the Relationship Between Internet Use and Mental Health Among Older Adults in England: Longitudinal Observational Study, J. Med. Internet Res., 22, e15683, 10.2196/15683

Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., and Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE, 15.

Kramer, 2014, Experimental evidence of massive-scale emotional contagion through social networks, Proc. Natl. Acad. Sci. USA, 111, 8788, 10.1073/pnas.1320040111

Levine, 2013, Evaluating the seven-item Center for Epidemiologic Studies depression scale short-form: A longitudinal U.S. community study, Soc. Psychiatry Psychiatr. Epidemiol., 48, 1519, 10.1007/s00127-012-0650-2

Knesebeck, 2007, Socio-economic position and quality of life among older people in 10 European countries: Results of the SHARE study, Ageing Soc., 27, 269, 10.1017/S0144686X06005484

2016, Quality of life in people aged 65+ in Europe: Associated factors and models of social welfare—analysis of data from the SHARE project (Wave 5), Qual. Life Res., 26, 1059

White, 2002, A randomized controlled trial of the psychosocial impact of providing internet training and access to older adults, Aging Ment. Health, 6, 213, 10.1080/13607860220142422

Elliot, 2014, Predictors of Older Adults’ Technology Use and Its Relationship to Depressive Symptoms and Well-being, J. Gerontol. Ser. B Psychol. Sci. Soc. Sci., 69, 667

Bento, 2020, Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases, Proc. Natl. Acad. Sci. USA, 117, 11220, 10.1073/pnas.2005335117

Karavidas, 2005, The effects of computers on older adult users, Comput. Hum. Behav., 21, 697, 10.1016/j.chb.2004.03.012

Valdez, 2020, Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data, J. Med. Internet Res., 22, e21418, 10.2196/21418