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Multiple dietary patterns and the association between long-term air pollution exposure with type 2 diabetes risk: Findings from UK Biobank cohort study.
Fan, Chaonan; Wang, Wenjuan; Wang, Shanze; Zhou, Wensu; Ling, Li.
Afiliación
  • Fan C; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: fanchn@mail2.sysu.edu.cn.
  • Wang W; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: wangwj239@mail2.sysu.edu.cn.
  • Wang S; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: wangshz5@mail2.sysu.edu.cn.
  • Zhou W; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: zhouws5@mail2.sysu.edu.cn.
  • Ling L; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China; Division of Clinical Research Design, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: lingli@mail.sysu.edu.cn.
Ecotoxicol Environ Saf ; 275: 116274, 2024 Apr 15.
Article en En | MEDLINE | ID: mdl-38564865
ABSTRACT

BACKGROUND:

Evidence of modifying effect of various dietary patterns (DPs) on risk of type 2 diabetes (T2D) induced by long-term exposure to air pollution (AP) is still rather lacking, which therefore we aimed to explore in this study.

METHODS:

We included 78,230 UK Biobank participants aged 40-70 years with at least 2 typical 24-hour dietary assessments and without baseline diabetes. The annual average concentration of particulate matter with diameter micrometers ≤2.5 (PM2.5) and ≤10 (PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX) estimated by land use regression model was the alternative proxy of long-term AP exposure. Three well-known prior DPs such as Mediterranean diet (MED), dietary approaches to stop hypertension diet (DASH), and empirical dietary inflammatory pattern (EDIP), as well as three posterior DPs derived by the rank reduced regression model were used to capture participants' dietary habits. Cox regression models were used to estimate AP-T2D and DP-T2D associations. Modifying effect of DPs on AP-T2D association was assessed using stratified analysis and heterogeneity test.

RESULTS:

During a median follow-up 12.19 years, 1,693 participants developed T2D. PM2.5, PM10, NO2, and NOX significantly increased the T2D risk (P <0.05), with hazard ratio (HR) and 95% confidence interval (95% CI) for per interquartile range increase being 1.09 (1.02,1.15), 1.04 (1.00, 1.09), 1.11 (1.04, 1.18), and 1.08 (1.03, 1.14), respectively. Comparing high with low adherence, healthy DPs were associated with a 14-41% lower T2D risk. Participants with high adherence to MED, DASH, and anti-EDIP, alongside the posterior anti-oxidative dietary pattern (AODP) had attenuated and statistically non-significant NO2-T2D and NOX-T2D associations (Pmodify <0.05).

CONCLUSIONS:

Multiple forms of healthy DPs help reduce the T2D risk associated with long-term exposure to NO2 and NOX. Our findings indicate that adherence to healthy DPs is a feasible T2D prevention strategy for people long-term suffering from NO2 and NOX pollution.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Contaminantes Atmosféricos / Contaminación del Aire Límite: Humans Idioma: En Revista: Ecotoxicol Environ Saf Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Contaminantes Atmosféricos / Contaminación del Aire Límite: Humans Idioma: En Revista: Ecotoxicol Environ Saf Año: 2024 Tipo del documento: Article