A qualitative analysis of the perceived socio-cultural contexts and health concerns of sugar-sweetened beverages among adults studying or working at a post-secondary institution in Dharwad, India
Bibliographic record
Abstract
BACKGROUND: We sought to explore the perceptions of the socio-cultural contexts and health concerns of consuming sugar-sweetened beverages (SSB) among Indian adults working or studying at a post-secondary institution in Karnataka, India. METHODS: We completed a qualitative study, including 24 semi-structured interviews between 2017 and 2018 at the University of Agricultural Sciences, Dharwad, Karnataka, India. Data were analyzed using thematic content analysis. RESULTS: One over-arching theme emerged, westernization and changing perceptions of food, sugar, and health. Participants discussed SSB and associated health concerns in the broad context of westernization and overall economic development in India. Three sub-themes regarding the health perceptions of consuming SSB were: healthy drinks are clean and natural; hydration and energy; and moderation and body weight. Hygienically-prepared beverages were a consistent concern among participants. Juices and beverages, such as tea or coffee, sweetened with jaggery were viewed positively due to their naturalness and lack of processed sugar. Participants perceived SSB as providing hydration and energy, particularly in hot weather. Lastly, if consumed in moderation, SSB were thought to have no direct adverse health consequences. Though some participants noted excessive, 'addictive' consumption would contribute to weight gain and diabetes. CONCLUSION: Perceived health concerns of SSB reflect dominant health issues in India, namely, food insecurity, food safety, and increasingly, diabetes. Policymakers tend to prioritize acute challenges over long-term concerns. As such, the capacity of any policy to address chronic nutritional concerns related to SSB are likely to be muted in the absence of improvements to food safety and security.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".