Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 200-209 |
| Journal | Computers in Human Behavior |
| Volume | 93 |
| Publication status | Published - Apr 2019 |
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Keywords
- Social networks sites
- Social media
- Mental health
- Sleep problems
- Loneliness
- Age
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Does social networking sites use predict mental health and sleep problems when prior problems and loneliness are taken into account? A population-based prospective study. / van der Velden, P.G.; Setti, Ilaria; van der Meulen, Erik; Das, J.W.M.
In: Computers in Human Behavior, Vol. 93, 04.2019, p. 200-209.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Does social networking sites use predict mental health and sleep problems when prior problems and loneliness are taken into account? A population-based prospective study
AU - van der Velden, P.G.
AU - Setti, Ilaria
AU - van der Meulen, Erik
AU - Das, J.W.M.
PY - 2019/4
Y1 - 2019/4
N2 - It is unclear to what extent the use of social networking sites (SNS-use) predicts mental health or sleep problems, over and above prior problems. The aim of this study is to examine the independent predictive values of SNS-use. We extracted data from the Longitudinal Internet studies for the Social Sciences panel (LISS panel), based on a random sample of Dutch residents. Using logistic and multiple regression analyses, we assessed the predictive values of SNS-use (Read, Post, Chat) among the total study sample (N = 3486), six age categories, and subgroups with low and high loneliness levels. The three types of SNS-use were significant predictors for mental health and sleep problems on the short and longer term among the total sample, but not after controlling for prior mental health and sleep problems, loneliness and demographics. Analyses among the six age groups revealed some mixed but very weak effects. Among a few age categories, more SNS-use was very associated with more sleep problems. No differences were observed within subgroups with low or high loneliness levels. We conclude that, when controlling for prior problems and loneliness, SNS-use does not or hardly predict mental health and sleep problems on the short or long term.
AB - It is unclear to what extent the use of social networking sites (SNS-use) predicts mental health or sleep problems, over and above prior problems. The aim of this study is to examine the independent predictive values of SNS-use. We extracted data from the Longitudinal Internet studies for the Social Sciences panel (LISS panel), based on a random sample of Dutch residents. Using logistic and multiple regression analyses, we assessed the predictive values of SNS-use (Read, Post, Chat) among the total study sample (N = 3486), six age categories, and subgroups with low and high loneliness levels. The three types of SNS-use were significant predictors for mental health and sleep problems on the short and longer term among the total sample, but not after controlling for prior mental health and sleep problems, loneliness and demographics. Analyses among the six age groups revealed some mixed but very weak effects. Among a few age categories, more SNS-use was very associated with more sleep problems. No differences were observed within subgroups with low or high loneliness levels. We conclude that, when controlling for prior problems and loneliness, SNS-use does not or hardly predict mental health and sleep problems on the short or long term.
KW - Social networks sites
KW - Social media
KW - Mental health
KW - Sleep problems
KW - Loneliness
KW - Age
M3 - Article
VL - 93
SP - 200
EP - 209
JO - Computers in Human Behavior
JF - Computers in Human Behavior
SN - 0747-5632
ER -