Social support and social comparison tendencies predict trajectories of adolescents’ problematic social media use: A longitudinal study

There is still no scientific consensus on the relationship between problematic social media use and its negative consequences for adolescents' well-being. This study aims to identify common trajectories of problematic social media use over time in a sample of adolescents, and to identify the demographic and psychological factors associated with different empirical profiles. This four-wave longitudinal study involved 403 adolescents (age range: 13-18 years; Mage = 15.73 ± 1.22; 51.9% females). Participants provided demographic and social media use data (i.e., social media addiction, frequency of social media activities, time spent on Instagram and TikTok) as well as measures of psychological factors (i.e., psychological distress, emotion dysregulation, self-esteem, perceived social support, online social comparison). Parallel latent class growth analysis (LCGA) categorised participants into three classes. Participants in class 1 ('most vulnerable group'; 25.56%) showed a more impaired functioning profile, with a stable problematic pattern of social media use (i.e., high levels of social media addiction and time spent on TikTok). Multinomial regression models showed that factors associated with this pattern were low social support, high online social comparison, and SMU intensity. Our findings suggest that the role of social interactions (both online and offline) and social comparison tendencies should be further explored as markers of problematic social media use.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-06-18
DOI
https://doi.org/10.1371/journal.pone.0323320
Citations
1
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social support and social comparison tendencies predict trajectories of adolescents’ problematic social media use: A longitudinal study

Gianluca Lo Coco, Laura Salerno, Vivian Ostwald, Lucia Fortunato et al.
1 citations
PLoS ONE
Impact of Technology on Adolescents
4.20
article

Social support and social comparison tendencies predict trajectories of adolescents’ problematic social media use: A longitudinal study

Gianluca Lo Coco, Laura Salerno, Vivian Ostwald, Lucia Fortunato, Arianna Muscolino
article en
1 citations

Abstract

There is still no scientific consensus on the relationship between problematic social media use and its negative consequences for adolescents' well-being. This study aims to identify common trajectories of problematic social media use over time in a sample of adolescents, and to identify the demographic and psychological factors associated with different empirical profiles. This four-wave longitudinal study involved 403 adolescents (age range: 13-18 years; Mage = 15.73 ± 1.22; 51.9% females). Participants provided demographic and social media use data (i.e., social media addiction, frequency of social media activities, time spent on Instagram and TikTok) as well as measures of psychological factors (i.e., psychological distress, emotion dysregulation, self-esteem, perceived social support, online social comparison). Parallel latent class growth analysis (LCGA) categorised participants into three classes. Participants in class 1 ('most vulnerable group'; 25.56%) showed a more impaired functioning profile, with a stable problematic pattern of social media use (i.e., high levels of social media addiction and time spent on TikTok). Multinomial regression models showed that factors associated with this pattern were low social support, high online social comparison, and SMU intensity. Our findings suggest that the role of social interactions (both online and offline) and social comparison tendencies should be further explored as markers of problematic social media use.

PLoS ONEVol. 20(6)
University of Palermo (IT), Ruhr University Bochum (DE)
Reduced inequalities
Openalex Percentile: Top 7%
Impact of Technology on Adolescents
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.