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DOI 10.1016/j.ijheh.2026.114853

Медицинская библиотека · International journal of hygiene and environmental health · 2026

Childhood exposure to traffic-related air pollution and lung function at age 10 years: evidence of nutritional modification in a birth cohort.

Park Yujin, Lee Dong-Wook, Shin Choong Ho, Lee Young Ah, Lee Yun Jeong, Suh Dong In, Hong Yun-Chul, Lim Youn-Hee, Kim Bung-Nyun, Kim Johanna Inhyang, Kim Soontae, Kim Kyoung-Nam

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Аннотация

BACKGROUND

Exposure to traffic-related air pollution has been associated with impaired lung function in children, yet heterogeneity in susceptibility related to nutritional status remains poorly understood.

METHODS

We analyzed data from a Korean birth cohort with lung function measured at age 10 years. Dietary nutrient intakes were assessed at ages 6 and 8 years using food frequency questionnaires. We applied a three-step analytical framework consisting of elastic net regression to screen nutrient-NO2 interactions, LightGBM with SHAP values to explore nonlinear patterns, and conventional linear regression models for confirmation.

RESULTS

Childhood exposure to nitrogen dioxide (NO2) was associated with lower forced expiratory volume in 1 s (FEV1) (β = -0.07, 95% confidence interval [CI]: -0.14, -0.003) and a lower FEV1/forced vital capacity (FVC) ratio (β = -1.70, 95% CI: -3.31, -0.09). Elastic net screening identified 4 of 33 fatty acid-related nutrients and 2 of 8 B-vitamin-related nutrients with stable interaction signals (selection frequency ≥0.60). In LightGBM-SHAP analyses, contributions of the selected nutrients to lung function varied nonlinearly across intake ranges, showing threshold, plateau, or U-shaped patterns. Only a small subset of interactions, involving eicosadienoic acid and capric acid, remained statistically significant in conventional linear regression models (p-interaction <0.05).

CONCLUSIONS

Childhood NO2 exposure was associated with lower lung function at age 10 years. Nutritional status may modify this association in heterogeneous and nonlinear ways, highlighting the value of integrative analytical approaches combining machine learning and conventional epidemiological models to characterize individual susceptibility to environmental exposures.

Для цитирования: Park Yujin, Lee Dong-Wook, Shin Choong Ho, Lee Young Ah, Lee Yun Jeong, Suh Dong In, Hong Yun-Chul, Lim Youn-Hee, Kim Bung-Nyun, Kim Johanna Inhyang, Kim Soontae, Kim Kyoung-Nam. Childhood exposure to traffic-related air pollution and lung function at age 10 years: evidence of nutritional modification in a birth cohort.. International journal of hygiene and environmental health. 2026. DOI: 10.1016/j.ijheh.2026.114853.

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