Does social network site use buffer against well-being loss when older adults face reduced functional ability?

Erik van Ingen, Stephen A Rains, Kevin B. Wright

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We examine the role of the Internet in dealing with problems in later life by analyzing whether direct and buffering models of social support can be applied to social network site (SNS) use. Whereas the direct model implies a positive effect of time spent using SNSs on subjective well-being, and a negative effect on social loneliness, the buffering model suggests that SNS use should reduce the (negative) consequences of stressors. Using a large, longitudinal survey from the Netherlands, we find evidence for the buffering model but not for the direct-effects model. Functional disability had a negative impact on (changes in) well-being and this effect was smaller when older individuals used SNSs more. Furthermore, we found a similar buffering effect of making online purchases, which we interpret as support for the idea that replacing offline with online activities may be a compensation strategy. This implies that Internet use may play a role in coping with health-related problems connected to later stages of the life course.

Original languageEnglish (US)
Pages (from-to)168-177
Number of pages10
JournalComputers in Human Behavior
Volume70
DOIs
StatePublished - May 1 2017
Externally publishedYes

Fingerprint

Aptitude
Social Support
Buffers
Internet
Loneliness
Netherlands
Longitudinal Studies
Health
Well-being
Social Networks

Keywords

  • Aging
  • Health
  • Internet use
  • Loneliness
  • Subjective well-being

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

Cite this

Does social network site use buffer against well-being loss when older adults face reduced functional ability? / van Ingen, Erik; Rains, Stephen A; Wright, Kevin B.

In: Computers in Human Behavior, Vol. 70, 01.05.2017, p. 168-177.

Research output: Contribution to journalArticle

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