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Background: Long-term exposure to ambient air pollution and physical activity are linked to metabolic syndrome (MetS). However, the joint effect of physical activity and ambient air pollution on MetS remains largely unknown in rural Chinese adult population., Methods: In this study, 39 089 individuals were included from the Henan Rural Cohort study that recruited 39 259 individuals at the baseline. Participants' exposure to air pollutants (including particulate matter with an aerodynamic diameter ≤ 1.0 µm (PM 1 ), ≤2.5 µm (PM 2.5 ), or ≤ 10 µm (PM 10 ) and nitrogen dioxide (NO 2 )) were evaluated by using a spatiotemporal model based on satellites data. Individuals were defined as MetS according to the recommendation of the Joint Interim Societies. Physical activity-metabolic equivalent (MET) was calculated based on the formula of MET coefficient of activity × duration (hour per time) × frequency (times per week). Generalized linear models were used to analyze the individual air pollutant or physical activity and their interaction on MetS. Interaction effects of individual air pollutant and physical activity on MetS were assessed by using Interaction plots which exhibited the estimated effect of physical activity on MetS as a function of individual air pollutant., Results: The prevalence of MetS was 30.8%. The adjusted odd ratio of MetS with a per 5 µg/m 3 increase in PM 1 , PM 2.5 , PM 10 , NO 2 or a 10 MET (hour/day) of physical activity increment was 1.251(1.199, 1.306), 1.424(1.360, 1.491), 1.228(1.203, 1.254), 1.408(1.363, 1.455) or 0.814(0.796, 0.833). The protective effect of physical activity on MetS was decreased with accompanying air pollutant concentrations increased., Conclusions: The results indicated that long-term exposure to ambient air pollutants related to increased risk of MetS and physical activity attenuated the effects of ambient air pollutants on increased risk for MetS., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The purpose of this study is to update the prevalence of metabolic syndrome (MetS) and explore to identify the susceptible populations. A total of 38208 subjects aged 18 to 79 years were obtained from the Henan Rural Cohort Study (n = 39259). Five criteria (ATP β, IDF, JIS, CDS, EGIR) were used to estimate the prevalence of MetS. Multivariate logistic regression analysis was used to assess odds ratios (ORs) and 95% confidence interval (CI) of potential risk factors with MetS. The age-standardized prevalence of MetS were 27.87%, 24.63%, 27.40%, 18.00% and 8.91% according to the standard of ATP β, IDF, JIS, CDS, and EGIR, respectively. After adjusted for the potential confounding factors, aging, females, physical activity and the state of drinking were independent risk factors of MetS. MetS is positively associated with stroke and coronary heart disease in all five criteria (P < 0.01). The current data identify a high prevalence of MetS among Chinese rural adults. Especially for aged females with unhealthy lifestyle had a higher risk for MetS.