Consumption, Health Attitudes and Perception Toward Fast Food Among Arab Consumers in Kuwait: Gender Differences
Bibliographic record
Abstract
This study aimed to investigate gender differences in the fast food intake, health attitudes, and perceptions of fast food among adult Arab consumers aged 19 to 65 years in Kuwait. A total of 499 consumers (252 males, 247 females) were selected at convenience from three shopping malls in Kuwait City. The consumers were interviewed using a specially designed questionnaire. The findings revealed that men were more frequently consumed fast food than women (p < 0.001). Men were significantly more likely to consume "double" burgers (52%) than women (29.9%) (P < 0.001). The great majority of consumers (95%) considered fast food harmful to health. However, the consumers were continued to intake fast food (92%), indicating that health information on fast food not necessarly affects their consumption. Local foods were more likely to be considered fast food if eaten as a sandwich or without a disposal container. It can be concluded that fast food perceptions are influenced by gender, media and socio-cultural factors. Nutrition education programmes should focus on nutritive values of the foods rather than on their "fast food" classification.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".