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Employment Status, Depressive Symptoms, and the Mediating/Moderating Effects of Single Mothers' Coping Repertoire

2007· article· en· W1993278514 on OpenAlexaff
Joan Samuels‐Dennis

Bibliographic record

VenuePublic Health Nursing · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsWestern University
Fundersnot available
KeywordsCoping (psychology)Depressive symptomsPsychologySingle mothersClinical psychologyMental healthSocial supportPublic healthRepertoireBeck Depression InventoryRating scalePsychiatryMedicineDevelopmental psychologyAnxietySocial psychologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Single mothers, especially those on social assistance, report significantly more depressive symptoms than the general public. This article examines the relationships among employment status, stressful life events, and depressive symptoms among single mothers, with a special focus on the potential mediating and moderating roles of coping repertoire. DESIGN: Cross-sectional survey design. SAMPLE: Ninety-six single mothers (48 employed and 48 single mothers on social assistance) who were the primary caregiver for at least 1 child 4-18 years old. MEASUREMENTS: Mailed questionnaires that included an adapted version of the Social Readjustment Rating Scale, the Coping Strategy Inventory, and the Beck Depression Inventory, 2nd ed. were completed by study participants. RESULTS: Coping repertoire did not mediate the relationship between either employment status or stress exposure and depressive symptoms. Coping had an antagonistic and differential moderating effect on the association between employment status and depressive symptoms for employed single mothers and mothers receiving social assistance. CONCLUSION: Effective strategies aimed at promoting single mothers' mental health need to address both the severity of depressive symptoms found among single mothers, and the social-system factors that threaten single mothers' psychological well-being. The implications for practice and policy are discussed.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.336
Teacher spread0.306 · 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 designQualitative
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

Citations14
Published2007
Admission routes1
Has abstractyes

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