Metals and trace elements in relation to body mass index in a prospective study of US women

被引:63
作者
Niehoff, Nicole M. [1 ]
Keil, Alexander P. [1 ,2 ]
O'Brien, Katie M. [1 ]
Jackson, Brian P. [3 ]
Karagas, Margaret R. [4 ,5 ]
Weinberg, Clarice R. [6 ]
White, Alexandra J. [1 ]
机构
[1] NIEHS, Epidemiol Branch, 111 TW Alexander Dr,Room A344, Res Triangle Pk, NC 27709 USA
[2] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC 27515 USA
[3] Dartmouth Coll, Dept Earth Sci, Hanover, NH 03755 USA
[4] Geisel Sch Med Dartmouth, Dept Epidemiol, Lebanon, NH USA
[5] Geisel Sch Med Dartmouth, Childrens Environm Hlth & Dis Prevent Res Ctr Dar, Lebanon, NH USA
[6] NIEHS, Biostat & Computat Biol Branch, Res Triangle Pk, NC 27709 USA
关键词
Metals; Trace elements; Body mass index; Obesity; Mixtures; ADIPOSE-TISSUE; OBESITY; METABOLISM; ASSOCIATION; REGRESSION; CHROMIUM; EXPOSURE; WEIGHT; METAANALYSIS; POPULATION;
D O I
10.1016/j.envres.2020.109396
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Epidemiologic studies on the association between metals and body mass index (BMI) have been cross-sectional and have demonstrated inconsistent associations. Our study prospectively examined whether metals measured at baseline were associated with later BMI. We considered metals individually and as joint exposure to pre-defined metal groupings. Methods: We measured concentrations of 16 metals in toenails collected at baseline (2003-2009) in a subset of 1221 women from the Sister Study. We calculated BMI from height and weight reported on a follow-up questionnaire an average of 5.2 years (range = 3.5-8.3) after baseline. Multivariable linear regression was used to estimate beta coefficients and 95% confidence intervals (CIs) for associations between BMI and individual metals (with estimates given per interquartile range (IQR) increase or in quartiles). Quantile g-computation was used to examine joint associations between groups of metals and BMI. Groups considered were (1) all metals combined, and metals classified as (2) non-essential or (3) essential. Results: In individual metal models we found that, with the exception of cobalt, no single metal was strongly related to BMI. In our mixture analyses, a quartile increase in all non-essential metals was associated with higher BMI (beta = 0.32; 95%CI: 0.00, 0.63 kg/m(2)), whereas essential metals were suggestively associated with lower BMI (beta = -0.25; 95%CI: 0.58, 0.07 kg/m(2)). Conclusions: In this population of women who were, on average, overweight, essential metals were jointly associated with slightly healthier, lower BMI whereas non-essential metals were jointly associated with slightly higher, unhealthier BMI, after controlling for other health indicators and predictors of metals exposures.
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