A Co-Twin Control Study of Fine Particulate Matter and the Prevalence of Metabolic Syndrome Risk Factors Público
Zhang, Yuhan (Spring 2021)
Abstract
Background: The relationship between ambient fine particulate matter (PM2.5) and metabolic syndrome (MetS) is understudied. It also remains unknown whether familial factors play a role in this relationship.
Methods: In a study of 566 middle-aged twins, we examined the association of PM2.5 with MetS risk factors, measured by a MetS score as a summation of individual risk factors (range, 0 to 5). High-resolution PM2.5 estimates were obtained through previously validated models that incorporated monitor and satellite derived data. We estimated two-year average PM2.5 concentrations based on the ZIP code of each twin’s residence. We used ordinal response models adapted for twin studies.
Results: When treating twins as individuals, the odds ratio of having 1-point higher MetS score was 1.86 for each 10 μg/m3-increase in exposure to PM2.5 (confidence interval [CI]: 1.05, 3.29), after adjusting for potential confounders. This association was mainly between pairs; the odds ratio was 2.06 (CI: 1.06, 3.99) for each 10 μg/m3-increase in the average pairwise exposure level. We found no significant difference in MetS scores within pairs who were discordant for PM2.5 exposure.
Conclusion: In conclusion, higher PM2.5 in residence area is associated with more MetS risk factors. This association, however, is confounded by shared familial factors.
Table of Contents
INTRODUCTION .........................................................................................................................1
METHODS ..................................................................................................................................3
Study Population .......................................................................................................................3
Measurement of metabolic syndrome score..................................................................................4
Measurement of air pollution .....................................................................................................5
Other measurements..................................................................................................................6
Statistical methods....................................................................................................................7
RESUILTS....................................................................................................................................9
PM2.5 and metabolic syndrome score .........................................................................................9
Sensitivity analysis ...................................................................................................................10
DISSCUSSION ............................................................................................................................11
CONCLUSIONS ..........................................................................................................................14 REFERENCES.............................................................................................................................15 TABLES......................................................................................................................................19
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