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Record W2150080038 · doi:10.2105/ajph.2012.301116

Marital Status, Duration of Cohabitation, and Psychosocial Well-Being Among Childbearing Women: A Canadian Nationwide Survey

2012· article· en· W2150080038 on OpenAlexaffabout
Marcelo L. Urquía, Patricia O’Campo, Joel G. Ray

Bibliographic record

VenueAmerican Journal of Public Health · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsCohabitationDemographyOdds ratioConfidence intervalMarital statusMedicinePsychosocialOddsDomestic violenceDepression (economics)Logistic regressionPoison controlGerontologyInjury preventionPopulationPsychiatryEnvironmental healthGeographySociology

Abstract

fetched live from OpenAlex

OBJECTIVES: We examined the joint associations of marital status and duration of cohabitation on self-reported intimate partner violence, substance use, and postpartum depression among childbearing women. METHODS: We analyzed data from the 2006-2007 Canadian Maternity Experiences Survey, a cross-sectional nationwide sample of 6421 childbearing women. Cohabiting women were married or nonmarried women living with a partner; noncohabiters were single, divorced, or separated women. We further categorized cohabiters by their duration of cohabitation (≤ 2, 3-5, or > 5 years). We used logistic regression to generate adjusted odds ratios and 95% confidence intervals. RESULTS: About 92% of women were cohabiters. Compared with married women living with a husband more than 5 years, unmarried women cohabiting for 2 years or less were at higher odds of intimate partner violence (adjusted odds ratio [AOR] = 4.64; 95% confidence interval [CI] = 2.85, 7.56), substance use (AOR = 5.36; 95% CI = 3.06, 9.39), and postpartum depression (AOR = 1.87; 95% CI = 1.25, 2.80); these risk estimates declined with duration of cohabitation. CONCLUSIONS: Research on maternal and child health would benefit from distinguishing between married and unmarried cohabiting women, and their duration of cohabitation.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.053
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.308
Teacher spread0.284 · 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

Citations34
Published2012
Admission routes2
Has abstractyes

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