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1000
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Abstract/Summary
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Purpose!#!Older employees are often thought to be vulnerable to negative effects of information and communication technology (ICT). Our study aims to examine associations between work-related ICT exposure (i.e. ICT use or digital work intensification), physical health, mental health and work ability (WA). We examine whether these associations are modified by socio-economic position (SEP).!##!Methods!#!We analysed cross-sectional data from 3180 participants (born in 1959 and 1965) in wave 3 of the representative German lidA cohort study. We performed hierarchical multiple regression to assess the distinct associations of ICT use and digital work intensification with mental and physical health and WA. We stratified analyses by SEP and controlled for age, sex, and digital affinity.!##!Results!#!92% of participants reported ICT use at work. Almost 20% reported high levels of digital work intensification, while a similar proportion did not experience digital work intensification. In bivariate analyses, ICT use by itself was not significantly associated with mental health or WA in the total sample or when stratified. Digital work intensification displayed negative associations with mental health and WA. In hierarchical multiple regressions, digital work intensification showed consistently negative associations with mental health and work ability of similar strength across SEP.!##!Conclusion!#!Our results suggest that ICT use, per se, does not negatively impact older workers. Digital work intensification may be associated with worse mental health and work ability. Research on health and social implications of work-related ICT should differentiate patterns of ICT exposure and assess modifications by SEP to better gauge the ambiguous effects of ICT.
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1000
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Hinweis
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DeepGreen-ID: e2159618ed1a445e9696963a4a0b97c1 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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