A Co-Twin Control Study of Fine Particulate Matter and the Prevalence of Metabolic Syndrome Risk Factors Público

Zhang, Yuhan (Spring 2021)

Permanent URL: https://etd.library.emory.edu/concern/etds/dj52w5918?locale=es
Published

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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