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Investigating the effect of social networking site use on mental health in an 18–34 year-old general population; a cross-sectional study using the 2016 Scania Public Health Survey

Scott, Emily Stella ; Canivet, Catarina LU and Östergren, Per Olof LU (2020) In BMC Public Health 20(1).
Abstract

Background: Social Networking Sites (SNS) are commonly used, especially by young adults. Their impact on mental health is unclear. Moreover, little is known about how social factors, e.g. Perceived Emotional Support (PES), may affect this association. Mental health issues are increasingly burdening the young generation and society as a whole. This study aims to investigate the association between frequency of SNS use and number of SNS contacts with the mental health of a young, Swedish population. Additionally, the potential effect modification of PES will be analysed in regard to these relationships. Method: This cross-sectional study applied logistic regression analyses to data on 1341 participants (aged 18–34), retrieved from the... (More)

Background: Social Networking Sites (SNS) are commonly used, especially by young adults. Their impact on mental health is unclear. Moreover, little is known about how social factors, e.g. Perceived Emotional Support (PES), may affect this association. Mental health issues are increasingly burdening the young generation and society as a whole. This study aims to investigate the association between frequency of SNS use and number of SNS contacts with the mental health of a young, Swedish population. Additionally, the potential effect modification of PES will be analysed in regard to these relationships. Method: This cross-sectional study applied logistic regression analyses to data on 1341 participants (aged 18–34), retrieved from the Scania Public Health Survey (2016). Analyses were stratified by gender and the GHQ-12 scale assessed poor mental health. A 2-way interaction model was used to test for effect modification by PES regarding the association between SNS use and mental health. Results: Increased risk for poor mental health was found in women only. Using SNS almost hourly vs. less often resulted in an odds ratio (OR) of 1.66 (95% confidence interval (CI) = 1.16–2.38). The corresponding figures for having ≥600 contacts vs. ≤599 were (1.89; 1.21–2.97). Having low PES and using SNS almost hourly was associated with an OR of 3.12 (CI = 1.69–5.76; synergy index (SI) = 1.25). Low PES and ≥ 600 contacts resulted in an OR of 6.07 (CI = 1.73–21.33), whereby interaction was detected (SI = 2.88). Conclusion: Women, but not men, with frequent SNS use and a high number of SNS contacts were more likely to have poor mental health, which was exacerbated in women with low PES. Facilitating PES could be an approach for improving mental health among young adults. Future studies on the use of SNS should focus more on gender analyses.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Gender, Mental health, Online social networking, Perceived emotional support, Social media, Social support, Young adult
in
BMC Public Health
volume
20
issue
1
article number
1753
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85096455232
  • pmid:33225935
ISSN
1471-2458
DOI
10.1186/s12889-020-09732-z
language
English
LU publication?
yes
id
048c87ec-d7fe-4f30-8459-32ddddd45130
date added to LUP
2020-11-30 10:54:32
date last changed
2024-03-20 20:57:43
@article{048c87ec-d7fe-4f30-8459-32ddddd45130,
  abstract     = {{<p>Background: Social Networking Sites (SNS) are commonly used, especially by young adults. Their impact on mental health is unclear. Moreover, little is known about how social factors, e.g. Perceived Emotional Support (PES), may affect this association. Mental health issues are increasingly burdening the young generation and society as a whole. This study aims to investigate the association between frequency of SNS use and number of SNS contacts with the mental health of a young, Swedish population. Additionally, the potential effect modification of PES will be analysed in regard to these relationships. Method: This cross-sectional study applied logistic regression analyses to data on 1341 participants (aged 18–34), retrieved from the Scania Public Health Survey (2016). Analyses were stratified by gender and the GHQ-12 scale assessed poor mental health. A 2-way interaction model was used to test for effect modification by PES regarding the association between SNS use and mental health. Results: Increased risk for poor mental health was found in women only. Using SNS almost hourly vs. less often resulted in an odds ratio (OR) of 1.66 (95% confidence interval (CI) = 1.16–2.38). The corresponding figures for having ≥600 contacts vs. ≤599 were (1.89; 1.21–2.97). Having low PES and using SNS almost hourly was associated with an OR of 3.12 (CI = 1.69–5.76; synergy index (SI) = 1.25). Low PES and ≥ 600 contacts resulted in an OR of 6.07 (CI = 1.73–21.33), whereby interaction was detected (SI = 2.88). Conclusion: Women, but not men, with frequent SNS use and a high number of SNS contacts were more likely to have poor mental health, which was exacerbated in women with low PES. Facilitating PES could be an approach for improving mental health among young adults. Future studies on the use of SNS should focus more on gender analyses.</p>}},
  author       = {{Scott, Emily Stella and Canivet, Catarina and Östergren, Per Olof}},
  issn         = {{1471-2458}},
  keywords     = {{Gender; Mental health; Online social networking; Perceived emotional support; Social media; Social support; Young adult}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{BMC Public Health}},
  title        = {{Investigating the effect of social networking site use on mental health in an 18–34 year-old general population; a cross-sectional study using the 2016 Scania Public Health Survey}},
  url          = {{http://dx.doi.org/10.1186/s12889-020-09732-z}},
  doi          = {{10.1186/s12889-020-09732-z}},
  volume       = {{20}},
  year         = {{2020}},
}