Barriers to Farmers Market Vouchers Redemption Among Hartford WIC Participants: A Pilot Study to Strengthen WIC Benefits Use and to Develop a Childhood Obesity Intervention
Bibliographic record
Abstract
educators in New York State (NYS) by examining barriers and facilitators to health behaviors through the synthesis of mixed methods findings.Methods: The StayWell ECE study employed a sequential, exploratory mixed methods design (quan aQUAL).It consisted of 2 sets of surveys and semi-structured interviews examining health behaviors and social support and strain, respectively, followed by a photovoice component.Surveys were distributed electronically to NYS licensed ECE educators via REDCap.Interviews were conducted virtually via Zoom.Key findings from each methodology were summarized, synthesized across methodologies, and placed into levels of the social ecological model (SEM).Intervention strategies were derived for each SEM level.Results: In the full sample (n1,423), 98% of participants were women, 44% were low-income, 71% had overweight/ obesity, and 44% had depression.Participants reported poor diet, physical activity (PA), and sleep behaviors, yet most (5 out of 6) were motivated to change.Health goals focused on weight loss and improving diet, PA, and work-life balance.Job-related stressors (staff shortages and long hours) combined with limited resources to address health behaviors were deemed barriers.Social support was low and social strain was high amongst participants, and both were significantly associated diet, stress, and weight status.Enhancing social support amongst peers and from supervisors was desired.Thirty intervention strategies were identified -12 addressing the work environment, 8 focusing on social connections, and 9 on individual, self-care factors.Conclusions: The ECE environment is an ideal setting to address national priorities aimed at improving women's health and health inequities.Multilevel behavioral and policy interventions tailored to the needs of ECE educators and the uniqueness of their workplace are needed.Garnering input on the importance and feasibility of each of the identified intervention strategies will aid in prioritizing future efforts to address the health of the ECE workforce.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".