Protective Factors using the Life Course Perspective in Maternal and Child Health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The life course perspective, a valuable theoretical framework for investigating racial disparities in birth outcomes, examines the cumulative exposure of risk and protective factors throughout the life span. Although risk and protective exposures are equally vital to health, most studies have focused solely on the risk factor exposures faced by vulnerable populations. In clear contrast to the traditional public health approach which emphasizes a deficit model, strengths-based approaches can elucidate pathways on protective factors that foster resilience. Such positive perspectives represent a paradigm shift that views communities as valuable assets that have the capacity to fully engage themselves and their residents to achieve optimal health. Participatory action research methods are well-suited to apply a strengths-based approach to understand health disparities. Our study aimed to explore maternal and child health protective factors, from community residents’ perspective. We conducted 10 community-based participatory focus groups with community residents Tampa, Florida guided by the life course perspective. A total of 78 residents participated in ten focus groups. Perceived protective factors during pregnancy included self-esteem, spirituality, pregnancy support, good nutrition, prenatal care, and community resources. Protective factors for non-pregnant women were self-esteem, spirituality, social support, health literacy, community support and community resources, and societal factors. For children and adolescents, relevant protective factors were self-esteem, positive role models, nutrition and physical activity, and community support. The identified factors are community assets or strengths that mitigate or eliminate maternal and child health risks in families and communities residing in low-income neighborhoods, which must be considered in developing effective maternal and child health interventions.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it