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Digital Information Technology Use, Self-Rated Health, and Depression: Population-Based Analysis of a Survey Study on Older Migrants
- Source :
- Journal of Medical Internet Research, Journal of Medical Internet Research, Vol 23, Iss 6, p e20988 (2021), Kouvonen, A, Kemppainen, L, Ketonen, E-L, Kemppainen, T, Olakivi, A & Wrede, S 2021, ' Digital Information Technology Use, Self-Rated Health, and Depression: Population-Based Analysis of a Survey Study on Older Migrants ', Journal of Medical Internet Research, vol. 23, no. 6, e20988 . https://doi.org/10.2196/20988
- Publication Year :
- 2020
-
Abstract
- Background Previous studies have found that in general, poor health is associated with a lower likelihood of internet use in older adults, but it is not well known how different indicators of health are associated with different types of digital information technology (DIT) use. Moreover, little is known about the relationship between health and the types of DIT use in older ethnic minority and migrant populations. Objective The aim of this study is to examine the associations among depressive symptoms and self-rated health (SRH) with different dimensions of DIT use in older migrants. Methods We analyzed data from the Care, Health and Ageing of Russian-speaking Minority (CHARM) study, which is based on a nationally representative sample of community-dwelling, Russian-speaking adults aged 50 years or older residing permanently in Finland (men: 616/1082, 56.93%; age: mean 63.2 years, SD 8.4 years; response rate: 1082/3000, 36.07%). Data were collected in 2019 using a postal survey. Health was measured using depressive symptoms (measured using the Center for Epidemiologic Studies Depression Scale) and SRH. Binary logistic regression analyses were used to investigate the associations between the two health indicators and the following six outcomes: daily internet use, smartphone ownership, the use of the internet for messages and calls, social media use, the use of the internet for personal health data, and obtaining health information from the internet. A number of sociodemographic and socioeconomic factors were controlled for in the logistic regression regression analysis. Analyses were performed with weights accounting for the survey design and nonresponse. Results After adjusting for sociodemographic and socioeconomic factors, depressive symptoms (odds ratio [OR] 2.68, 95% CI 1.37-5.24; P=.004) and poor SRH (OR 7.90, 95% CI 1.88-33.11; P=.005) were associated with a higher likelihood of not using the internet daily. Depressive symptoms (OR 1.88, 95% CI 1.06-3.35; P=.03) and poor SRH (OR 5.05, 95% CI 1.58-16.19; P=.006) also increased the likelihood of smartphone nonuse. Depressive symptoms were additionally associated with a lower likelihood of social media use, and poor SRH was associated with a lower likelihood of using the internet for messaging and calling. Conclusions Poor SRH and depressive symptoms are associated with a lower likelihood of DIT use in older adults. Longitudinal studies are required to determine the directions of these relationships.
- Subjects :
- Male
migrants
Logistic regression
0302 clinical medicine
Ethnicity
Medicine
030212 general & internal medicine
Minority Groups
older adults
Self-rated health
RISK
Response rate (survey)
Transients and Migrants
Depression
Loneliness
health
Center for Epidemiologic Studies Depression Scale
Middle Aged
3142 Public health care science, environmental and occupational health
5142 Social policy
5141 Sociology
depression
medicine.symptom
Public aspects of medicine
RA1-1270
0305 other medical science
Information Technology
Computer applications to medicine. Medical informatics
R858-859.7
SOCIAL EXCLUSION
Health Informatics
digital information technology
03 medical and health sciences
030502 gerontology
COMPUTER USE
Humans
Socioeconomic status
Aged
Original Paper
mobile phone
business.industry
ADULTS
Odds ratio
Health indicator
LIFE
Cross-Sectional Studies
INTERNET USE
business
LONELINESS
Demography
Subjects
Details
- ISSN :
- 14388871
- Volume :
- 23
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of medical Internet research
- Accession number :
- edsair.doi.dedup.....e2aaa6c353bf6f88ec0a15b02a8e69bb
- Full Text :
- https://doi.org/10.2196/20988