Development of a facilitator guide for nutrition education on overweight and obesity in the eastern region of Ghana
Bibliographic record
Abstract
Overweight and obesity are global public health problems. Although overweight and obesity are high in urban areas, the prevalence of overweight and obesity is increasing steadily in rural areas. However, interventions to address overweight and obesity in rural areas are limited. This study reports on the process of developing a facilitator guide for a nutrition education program on overweight and obesity in rural Ghana. The transtheoretical model guided this study. The study was conducted in three districts in the Eastern Region of Ghana. The facilitator guide was developed according to the Food and Agriculture Organisation’s (FAO) guidelines for planning community nutrition education. This study engaged nutrition and agricultural officers working in the study area and academics through an iterative process to draft, revise, and design the facilitator guide. The procedures included a desk literature review, analysis of secondary data, telephone interviews, a seminar and two workshops. The guide consists of five lessons. Lesson 1 creates an awareness of overweight and obesity by providing a definition and the Stunkard Figure Rating Scale. It also includes data on the prevalence of overweight and obesity and abdominal obesity of women in the study area. Lesson 2 discusses body image perceptions and their association with overweight and obesity. Lesson 3 highlights the economic, social and health consequences of overweight and obesity. Lesson 4 explains the four-star diet and how to achieve it. The lesson includes a description of each star of the four-star diet with local examples. Lesson 5 discusses physical activity and steps to increase physical activity. Each lesson ends with a key message. Songs were developed for Lessons 3, 4 and 5. This study describes the process of developing a facilitator guide for overweight and obesity education at the community level. The guide can be used to raise awareness of overweight and obesity and weight management. Key words: Overweight, Obesity, Transtheoretical theory, Four-star diet, Overweight intervention, Exercise, Ghana
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".