2022
DOI: 10.1289/ehp10920
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Ambient Air Pollution Associated with Body Fat Percentages at Different Body Compartments: A Cohort Study of UK Biobank Participants

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Cited by 12 publications
(5 citation statements)
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“…e ) Because residential mobility might lead to exposure misclassification, we further conducted multistate analyses among the participants who did not change their residential addresses during the follow-up. 28 f ) To identify potentially susceptible populations, we conducted stratified analyses by smoking status, diabetes, and obesity to examine their potential effect modifications. Wald chi-square tests were calculated for the interaction terms to determine whether the results between subgroups were statistically different.…”
Section: Covariatesmentioning
confidence: 99%
“…e ) Because residential mobility might lead to exposure misclassification, we further conducted multistate analyses among the participants who did not change their residential addresses during the follow-up. 28 f ) To identify potentially susceptible populations, we conducted stratified analyses by smoking status, diabetes, and obesity to examine their potential effect modifications. Wald chi-square tests were calculated for the interaction terms to determine whether the results between subgroups were statistically different.…”
Section: Covariatesmentioning
confidence: 99%
“…A cross-sectional study of people aged ≥ 65 years in Taiwan showed that increased PM2.5 exposure was strongly associated with higher BF% and lower skeletal muscle mass [ 58 ]. Cai and his colleagues examined the significant positive associations between ambient air pollutant exposure and elevated BF% in participants from the UK Biobank, with the strongest associations between PM2.5 concentrations and the amount of fat at the trunk and viscera [ 59 ]. Evidence from experimental and interventional studies suggests that BF%, indicative of adipose tissue distribution, appears to possess the potential to better reflect PM2.5 exposure-associated hypertension risk than BMI.…”
Section: Discussionmentioning
confidence: 99%
“…Pack-years of smoking were calculated using the following formula: pack-years of smoking=number of cigarettes smoked per day/20 *(age stopped smoking − smoking start age). BMI was calculated by dividing the weight in kilograms by the height in metres squared and further grouped into underweight, normal, overweight and obese according to the standard set by the WHO 26 27. Participants reporting baseline occupational exposure (UK Biobank Data Field 20277) for 1 of 14 jobs associated with an increased risk (prevalence ratio ≥ 1.30) for chronic lung disease identified by De Matteis et al (online supplemental table S4)28 were classified as having an ‘at-risk’ occupation.…”
Section: Methodsmentioning
confidence: 99%