Employment Status, Depressive Symptoms, and the Mediating/Moderating Effects of Single Mothers' Coping Repertoire
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".