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Record W1996424216 · doi:10.1186/1472-6874-4-s1-s3

Multiple Roles and Women's Mental Health in Canada

2004· article· en· W1996424216 on OpenAlexaffabout
Heather Maclean, Keva Glynn, Donna Ansara

Bibliographic record

VenueBMC Women s Health · 2004
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMental healthStressorSocioeconomic statusDistressMarital statusPsychologyMental distressPersonal distressSocial supportMedicineClinical psychologyGerontologyPsychiatryEnvironmental healthSocial psychologyPopulation

Abstract

fetched live from OpenAlex

HEALTH ISSUE: Research on the relationship between women's social roles and mental health has been equivocal. Although a greater number of roles often protect mental health, certain combinations can lead to strain. Our study explored the moderating affects of different role combinations on women's mental health by examining associations with socioeconomic status and differences in women's distress (depressive symptoms, personal stress (role strain) and chronic stress (role strain plus environmental stressors). KEY FINDINGS: Women with children, whether single or partnered, had a higher risk of personal stress. Distress, stress and chronic stress levels of mothers, regardless of employment, or marital status, are staggeringly high. Single, unemployed mothers were significantly more likely than all other groups to experience financial stress and food insecurity. For partnered mothers, rates of personal stress and chronic stress were significantly lower among unemployed partnered mothers. Married and partnered mothers reported better mental health than their single counterparts. Lone, unemployed mothers were twice as likely to report a high level of distress compared with other groups. Lone mothers, regardless of employment status, were more likely to report high personal and chronic stress. DATA GAPS AND RECOMMENDATIONS: National health surveys need to collect more data on the characteristics of women's work environment and their care giving responsibilities. Questions on household composition should include inter-generational households, same sex couples and multifamily arrangements. Data disaggregation by ethno-racial background would be helpful. Data should be collected on perceived quality of domestic and partnership roles and division of labours.

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)0.001
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 score0.161
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.032
GPT teacher head0.352
Teacher spread0.320 · 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

Citations44
Published2004
Admission routes2
Has abstractyes

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