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Mental Well-Being Among Adversity-Exposed Adolescents During the COVID-19 Pandemic

2024· article· en· W4392762165 on OpenAlexaff
Julia H. Raney, Shayna Weinstein, Kyle T. Ganson, Alexander Testa, Dylan B. Jackson, Matthew S. Pantell, David V. Glidden, Claire D. Brindis, Jason M. Nagata

Bibliographic record

VenueJAMA Network Open · 2024
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Toronto
FundersNational Institute on Drug Abuse
KeywordsMental healthPandemicMedicineDemographyConfoundingCoronavirus disease 2019 (COVID-19)Coping (psychology)PsychologyClinical psychologyGerontologyPsychiatryDisease

Abstract

fetched live from OpenAlex

Importance: Further research is needed to understand factors associated with well-being during the COVID-19 pandemic among adolescents who have experienced adverse childhood experiences (ACEs). Objective: To explore factors associated with improved mental health during the COVID-19 pandemic among adolescents who have experienced ACEs. Design, Setting, and Participants: This cross-sectional study used data from the baseline (2016-2018) and sixth (March 2021) COVID Rapid Response Research (RRR) surveys of the Adolescent Brain Cognitive Development study, which includes 21 sites across the US. Adolescents aged 11 to 15 years who completed the COVID RRR mental health measures were included. Data analyses were conducted from June to August 2023. Exposures: School-based factors (eg, in-person school) and 8 coping behaviors (eg, exercise). Main Outcomes and Measures: The primary outcomes were adolescent-reported positive affect (PA) and perceived stress (PS). Adolescents were stratified by no ACEs, low-to-intermediate ACEs (1-3), and high ACEs (≥4). Linear regressions estimated associations between factors and mental health, adjusting for potential confounders. Unstandardized beta coefficients (B) were compared with equality of coefficients tests. Results: The 4515 adolescents in this study (mean [SD] age, 13.3 [0.88] years; 51% [95% CI, 50% to 53%] female) were racially and ethnically diverse (American Indian/Alaska Native, 2% [95% CI, 2% to 3%]; Asian, 8% [95% CI, 7% to 9%]; Black, 11% [95% CI, 10% to 12%]; Latino or Hispanic, 17% [95% CI, 15% to 18%]; White, 61% [95% CI, 60% to 63%]; other, 1% [95% CI, 0% to 2%]). For youths with high ACEs, caring for one's body (PA B = 4.02 [95% CI, 1.39 to 6.66]; PS B = -0.92 [95% CI, -1.84 to 0.00]), exercising (PA B = 3.19 [95% CI, 0.46 to 5.92]; PS B = -1.41 [95% CI, -2.40 to -0.43]), and engaging in healthy behaviors (PA B = 4.07 [95% CI, 1.28 to 6.84]; PS B = -1.01 [95% CI, -1.98 to -0.05]) were associated with higher PA and lower PS scores. In-person schooling had a greater impact on PA scores for youths with high ACEs (B = 5.55 [95% CI, 2.08 to 9.01]) than youths with low-to-intermediate ACEs (B = 1.27 [95% CI, 0.27 to 2.27]). Conclusions and Relevance: These findings suggest that in-person schooling and several coping behaviors (caring for one's body, exercising, and engaging in healthy behaviors) were associated with significantly higher PA and lower PS during the COVID-19 pandemic among adolescents with high ACEs. Adolescents with high ACEs demonstrated especially greater mental health scores when they reported in-person schooling. Future studies should build on these findings to identify clinical and school-based mental health protective factors for adolescents with high ACE risk.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.379
Teacher spread0.330 · 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

Labeled directly by 2 models reading the full record.

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

Citations17
Published2024
Admission routes1
Has abstractyes

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