Social support and education groups for single mothers: a randomized controlled trial of a community-based program
Bibliographic record
Abstract
BACKGROUND: Members of families headed by single mothers are at increased risk of psychosocial disadvantage and mental health problems. We assessed the effect of a community-based program of social support and education groups for single mothers of young children on maternal well-being and parenting. METHODS: We recruited 116 single mothers of children 3 to 9 years old through community advertisements. Eligible mothers were randomly assigned either to participate in a 10-week program of group sessions (1.5 hours per week) offering social support and education, with a parallel children's activity group, or to receive a standard list of community resources and the option to participate in group sessions at the end of the follow-up period. Interviewers blinded to the randomization collected assessment data from all mothers at baseline and at 3 follow-up visits (immediately after the intervention and at 3 and 6 months after the intervention). Outcome measures were self-reported mood, self-esteem, social support and parenting. RESULTS: Between February 2000 and April 2003, the program was offered to 9 groups of single mothers. Most of the mothers in the trial reported high levels of financial and mental health problems. In the short term (after the intervention), mothers in the intervention group had improved scores for mood (p < 0.01, standardized effect = 0.55) and self-esteem (p < 0.05, standardized effect = 0.29) compared with mothers in the control group; scores for the other 2 measures did not differ between the groups. Growth curve analysis of program effects over the follow-up period showed improvement in all 4 outcomes, with no significant difference between the intervention and control groups. INTERPRETATION: This community-based program of group sessions offering social support and education to low-income single mothers had positive short-term effects on mood and self-esteem but not on social support and parenting. Longer follow-up showed attenuation of these effects.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".