ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2019
Depressive Symptoms Predict Characteristics of Online Social Networks.
Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social Media Usage and Development of Psychiatric Disorders in Childhood and Adolescence: A Review.Frontiers in psychiatry · 2020Pooled it
- Application of an egocentric social network approach to examine changes in social connections following treatment for anxiety and depression: A novel measurement tool for clinical trials research?Social science & medicine (1982) · 2024Trial
- Urban-town-rural disparities in subjective life expectancy among middle-aged and elderly adults in China: evidence from the CHARLS 2020.BMC public health · 2025Observational
- Childhood maltreatment, social connectedness, and depression: A prospective analysis of trajectories over time.Developmental psychology · 2025Article
- Russian young people's subjective health evaluations, self-care practices, and therapeutic networks.Frontiers in psychology · 2024Article
- Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study.Journal of medical Internet research · 2023Article
- Linked lives and convoys of social relations.Advances in life course research · 2022Article
- The Influence of Friends on Teen Vaping: A Mixed-Methods Approach.International journal of environmental research and public health · 2021Article
- The Young Adolescent Project: A longitudinal study of the effects of maltreatment on adolescent development.Development and psychopathology · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
purposeThere is a substantial body of literature that examines depression or well-being as outcomes of social media use, but there are fewer studies that seek to understand how mental health may lead to different patterns of online interactions. The purpose of the present study was to examine how depressive symptoms may predict subsequent structural characteristics of the online social network.
methodsData came from Time 3 and Time 5 of a longitudinal study on the effects of maltreatment on adolescent development. At Time 3, adolescents reported on their depressive symptoms (n = 319), and at Time 5, a subsample was enrolled in the Facebook data collection (n = 133). An application downloaded the friend list, and network metrics were computed. Path models examined the main effect of depressive symptoms at Time 3 on Facebook social network measures.
resultsThe coefficients indicated that higher levels of depressive symptoms at Time 3 predicted fewer Facebook friends (smaller size), fewer ties between friends (lower average degree), more components, and fewer friends in the main component of the network.
conclusionsDepression may alter how youth form and maintain online friendships. Using social network characteristics may help identify youth at risk for serious mental illness.
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