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Browsing, posting, and liking on Instagram: The reciprocal relationships between different types of Instagram use and adolescents’ depressed mood
Open accessAbstract
Although studies have shown that Instagram use and young adults' mental health are cross-sectionally associated, longitudinal evidence is lacking. In addition, no study thus far examined this association, or the reverse, among adolescents. To address these gaps, we set up a longitudinal panel study among 12- to 19-year-old Flemish adolescents to investigate the reciprocal relationships between different types of Instagram use and depressed mood. Self-report data from 671 adolescent Instagram users (61% girls; MAge = 14.96; SD = 1.29) were used to examine our research question and test our hypotheses. Structural equation modeling showed that Instagram browsing at Time 1 was related to increases in adolescents' depressed mood at Time 2. In addition, adolescents' depressed mood at Time 1 was related to increases in Instagram posting at Time 2. These relationships were similar among boys and girls. Potential explanations for the study findings and suggestions for future research are discussed.
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“These statistical approaches were adopted by only a few studies in the current review (Coyne et al., 2020;Frison & Eggermont, 2017;Houghton et al., 2018).”
From The relationship between screen time and mental health in young people: A systematic review of longitudinal studies (2021) · cites this paper as Frison & Eggermont, 2017
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Metadata
- Authors
- Frison, E., & Eggermont, S.
- Affiliations
- KU Leuven (BE)
- Corresponding author
- Eggermont, Steven
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2017-10
- Volume
- 20
- Issue
- 10
- Pages
- 603-609
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W2766237264
- Cited by
- 269
- References
- 41
- Citations by year
- 2026: 22 · 2025: 25 · 2024: 28 · 2023: 35 · 2022: 30 · 2021: 49 · 2020: 59 · 2019: 13 · 2018: 6
- FWCI
- 54.64
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Locations
- Cyberpsychology Behavior and Social Networking (publishedVersion)
- PubMed (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Funders
- Fonds Wetenschappelijk Onderzoek
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
- Keywords
- Instagram use, adolescents, depressive mood, social media use, bidirectional relationship, liking, adolescent mental health, longitudinal panel study
- MeSH terms
- Adolescent, Adult, Child, Depression, Emotions, Female, Humans, Longitudinal Studies, Male, Netherlands, Young Adult, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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