MétaCan
Menu
Back to cohort

Mothers' marital history and the physical and mental health of young adults: An investigation over the early life course

2013· article· en· W2044762584 on OpenAlexaff
K. A. S. Wickrama, Tae Kyoung Lee, Catherine Walker O’Neal

Bibliographic record

VenueJournal of Adolescence · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsTellabs (Canada)
FundersUniversity of North Carolina at Chapel HillNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentFamily Process Institute
KeywordsPsychosocialPsychologyLife course approachMental healthYoung adultMarital statusDevelopmental psychologyIntervention (counseling)Longitudinal studyPhysical healthClinical psychologyGerontologyPopulationDemographyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Using survey data from 12,424 adolescents and their mothers over 13 years in the nationally representative National Longitudinal Study of Adolescent Health, the purpose of this study was to examine a life course model exploring the pathways linking mothers' marital history (identified as latent classes) and young adult health outcomes. During young adulthood (Wave 4), respondents ranged in age from 19 to 32. The results demonstrated unique long-term influences of stressful marital history typologies of mothers (prior to 1995) on the physical and mental health of young adults (2008) with reference to consistently married mothers after controlling for health status in 2001. These influences operated through family processes (economic pressure and parental rejection) and adolescent psychosocial adjustment (self-esteem, academic performance, and delinquent behavior). Our findings show that vulnerable groups of youth, in terms of mothers' marital history, can be identified early for appropriate intervention efforts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of AdolescenceSame topicHealth disparities and outcomesFrench-language works237,207