PMID- 34125069
OWN - NLM
STAT- MEDLINE
DCOM- 20211018
LR  - 20240402
IS  - 1438-8871 (Electronic)
IS  - 1439-4456 (Print)
IS  - 1438-8871 (Linking)
VI  - 23
IP  - 6
DP  - 2021 Jun 14
TI  - Digital Information Technology Use, Self-Rated Health, and Depression: 
      Population-Based Analysis of a Survey Study on Older Migrants.
PG  - e20988
LID - 10.2196/20988 [doi]
LID - e20988
AB  - 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.
CI  - (c)Anne Kouvonen, Laura Kemppainen, Eeva-Leena Ketonen, Teemu Kemppainen, Antero 
      Olakivi, Sirpa Wrede. Originally published in the Journal of Medical Internet 
      Research (https://www.jmir.org), 14.06.2021.
FAU - Kouvonen, Anne
AU  - Kouvonen A
AUID- ORCID: 0000-0001-6997-8312
AD  - Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
AD  - Research Institute of Psychology, SWPS University of Social Sciences and 
      Humanities, Wroclaw, Poland.
AD  - Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
FAU - Kemppainen, Laura
AU  - Kemppainen L
AUID- ORCID: 0000-0001-9320-2442
AD  - Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
FAU - Ketonen, Eeva-Leena
AU  - Ketonen EL
AUID- ORCID: 0000-0003-1053-2097
AD  - Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
FAU - Kemppainen, Teemu
AU  - Kemppainen T
AUID- ORCID: 0000-0002-0450-4439
AD  - Department of Geosciences and Geography, University of Helsinki, Helsinki, 
      Finland.
FAU - Olakivi, Antero
AU  - Olakivi A
AUID- ORCID: 0000-0002-7011-8536
AD  - Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
FAU - Wrede, Sirpa
AU  - Wrede S
AUID- ORCID: 0000-0001-7358-2097
AD  - Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20210614
PL  - Canada
TA  - J Med Internet Res
JT  - Journal of medical Internet research
JID - 100959882
SB  - IM
MH  - Aged
MH  - Cross-Sectional Studies
MH  - Depression/epidemiology
MH  - Ethnicity
MH  - Humans
MH  - Information Technology
MH  - Male
MH  - Middle Aged
MH  - Minority Groups
MH  - *Transients and Migrants
PMC - PMC8240805
OTO - NOTNLM
OT  - depression
OT  - digital information technology
OT  - health
OT  - migrants
OT  - mobile phone
OT  - older adults
COIS- Conflicts of Interest: None declared.
EDAT- 2021/06/15 06:00
MHDA- 2021/10/21 06:00
PMCR- 2021/06/14
CRDT- 2021/06/14 12:25
PHST- 2020/06/03 00:00 [received]
PHST- 2021/05/19 00:00 [accepted]
PHST- 2020/08/28 00:00 [revised]
PHST- 2021/06/14 12:25 [entrez]
PHST- 2021/06/15 06:00 [pubmed]
PHST- 2021/10/21 06:00 [medline]
PHST- 2021/06/14 00:00 [pmc-release]
AID - v23i6e20988 [pii]
AID - 10.2196/20988 [doi]
PST - epublish
SO  - J Med Internet Res. 2021 Jun 14;23(6):e20988. doi: 10.2196/20988.