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Changes in positive and negative peer influences and depressive symptoms from adolescence to young adulthood

2020· article· en· W3084421356 on OpenAlexafffundabout
Jacqueline Homel, Kara Thompson, Bonnie J. Leadbeater

Bibliographic record

VenueJournal of Adolescence · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of VictoriaSt. Francis Xavier University
FundersCanadian Institutes of Health Research
KeywordsPsychologyYoung adultProsocial behaviorDepressive symptomsPeer groupDepression (economics)Substance useClinical psychologyDevelopmental psychologyPsychiatryCognition

Abstract

fetched live from OpenAlex

INTRODUCTION: Peers are believed to continue as prominent sources of influence for young adults. However, having peers who use alcohol and drugs is associated with depressive symptoms in young adults and research on the effects of having peers who model positive activities beyond adolescence is scarce. METHOD: In this 10-year study of 644 Canadian youth (52% female), we used multilevel modeling to examine the effects of within-person and between-person differences in the interplay of peer behaviours and changes in depressive symptoms between ages 14 and 25. Data were collected via face-to-face interviews and surveys for private topics. RESULTS: Youth with close friends who used drugs and alcohol consistently reported more depressive symptoms at each age, whereas having friends who engaged in positive activities was associated with fewer depressive symptoms, especially during adolescence. Moreover, at times when youth had more substance-using peers than usual (within person variation), they also reported more symptoms. CONCLUSIONS: Substance-using peer contexts convey both short- and long-term risks for depressive symptoms. However, the protective effects of having peers who are engaged in positive activities, while generally protective, may be reduced in young adulthood. It is possible that older youth withdraw from peers and activities as their depression worsens, and prosocial activities become less supervised by parents, more optional, and more expensive.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2020
Admission routes3
Has abstractyes

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