A qualitative study of healthy eating, physical activity, and mental health among single mothers in Canada
Bibliographic record
Abstract
Single motherhood is associated with higher demands in home and family responsibilities that may exist in similar sized households with grandparents. These demands can compete with opportunities and resources for maintenance of healthy behaviours. This may have been exacerbated during the COVID-19 pandemic since supports outside the home may have been restricted by public health measures. A qualitative narrative study was conducted to explore these issues with 12 single mothers in Canada. Semi-structured interviews provided an in-depth understanding of the challenges and facilitators to maintaining healthy eating habits, physical activity levels, and mental health. Theory-driven content and structural analysis were applied through a descriptive thematic approach. Challenges to maintaining healthy eating behaviours included stay-at-home orders, limited budget, unhealthy food/cravings, and lack of motivation. In contrast, living with grandparents who provide help or having an understanding of healthy food were factors that facilitated engagement in healthy eating. Challenges to maintaining physical activity levels included lack of willpower, lack of time, and low energy. Whereas time on one's own, weighing scales or outdoor gear, and weather conditions promoted physical activity. Spirituality and gratitude were the main coping mechanisms used to deal with loneliness, unemployment, and depressive symptoms. Further research into the utility of gratitude as a coping mechanism could inform public health interventions that aim to increase levels of well-being among single mothers.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".