Body Weight, Obesity Perception, and Actions to Achieve Desired Weight among Rural and Urban Ghanaian Adults
Bibliographic record
Abstract
Background. Accurate body weight perception is important to maintaining an ideal body weight. In Africa, a preference for a larger body size and its association with health and wellbeing has been well documented. It remains speculative if these perceptions have changed or improved and if differences exist among rural and urban dwellers. The main aim of this study was to assess the body weight and obesity perceptions among rural and urban Ghanaians. Methods. This cross-sectional study involved 565 participants. The Stunkard figure rating scale was used to assess the body weight perception of participants. Participants were to choose from the scale figures they perceived to represent their current body weight, desired body weight, ideal body weight, ideal look for a wealthy person, ideal look for a woman with children, and ideal look for a woman without children. Additionally, participants were asked to describe obesity and its threat to health in their terms. Responses of participants to the above questions are presented as frequencies. Differences between rural and urban participants as well as males and females with respect to the median figure chosen for each question were determined by Mann–Whitney U test. Results. The median age of participants was 40 (IQR 26). The prevalence of overweight and obesity observed among participants was 52.8%. The most frequently selected figure as current body image was figure 5 (23.5%). Figure 4 was most frequently chosen by both males (37.2%) and females (24.6%) as their desired body image (27.4%). Male participants (41.8%) chose figure 5 as ideal for their gender while females (27.4%) maintained figure 4 as ideal for their gender. Study participants associated overweight with wealth and childbirth, and attributed their current weights to hereditary (27%) and childbirth (27%). Most participants were not taking steps to achieve their desired body image, and only a few engaged in both dieting and exercise to lose weight. Majority of participants described obesity as the accumulation of fat (91.0%) and viewed it as a threat to health (91.0%). Differences were observed among rural and urban participants with regard to the figure chosen as ideal for a wealthy person. Conclusion. Results from this study show an improvement in obesity perception and the acknowledgment of obesity as a threat to health. There was a desire for a normal-weight figure among study participants. Attribution of current body weight to hereditary and childbirth seems to be a hindrance to the implementation of actions to achieve this normal figure weight. Public health education, screening for overweight and obesity, creation of supportive food environments, and culture-sensitive interventions are promising to curbing the obesity menace.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".