A potential environmental paradox in India: Associations between air pollution precautions and sedentary behaviour among children and youth
Bibliographic record
Abstract
The negative impact of ambient air pollution on movement behaviours in the global south is a significant concern. Yet, evidence about this complex relationship is limited. This study assessed how precautions taken to prevent ambient air pollution exposure are associated with sedentary behaviour among children and youth in India. Participants aged 5-17 years (N = 986) from 41 schools in 28 urban and rural areas across India completed online surveys to provide information on movement behaviours, including precautions taken to avoid exposure to air pollution, perception of built environment, and sedentary behaviour. Multivariate gamma regression models were developed, adjusting for sociodemographic variables with sedentary behaviour as the primary criterion variable. Apart from an overall sample model, six segregated models were built to understand age, gender, and geographical variations. Children and youth who reported taking precautions to prevent ambient air pollution exposure were associated with significantly higher daily minutes of sedentary behaviour in both the overall sample (β = 0.085, 95 % CI = 0.001, 0.169) and the 13 to 17 age group (β = 0.110, 95 % CI = 0.007, 0.227). However, being able to access outdoor physical activity facilities before or after school was associated with lower sedentary behaviour in the following models: overall, rural, 5 to 12 and 13 to 17 age groups, and boys and girls. To our knowledge, this is the first study to depict a potential paradoxical relationship between precautions taken to avoid exposure to ambient air pollution and higher sedentary behaviour among children and youth in India i.e., a health-preserving behaviour is perpetuating another chronic disease risk factor.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".