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. 2022 May 3;107(8):e3343–e3352. doi: 10.1210/clinem/dgac228

Figure 2.

Figure 2.

Associations (95% credible intervals) from unweighteda Bayesian kernel machine regression models of the overall urinary phthalate metabolite and serum PFAS mixture with total body less head aBMD Z-scoreb in 12-19 year old males (A) and females (B), 2011-2016 National Health and Nutrition Examination Survey (males, n = 453; females, n = 395). aModels do not account for the complex sample design, and therefore results cannot be considered generalizable to the US population. bFrom BKMR models of the association between the overall urinary phthalate metabolite/serum PFAS mixture when all chemical biomarkers are set at a given quantile versus the median. Models are adjusted for age, race/ethnicity, moderate/vigorous physical activity, indoor smoking by a household member, recent sugar-sweetened beverage consumption, recent total dairy consumption, urinary creatinine concentrations, NHANES weights, and NHANES cycle. Abbreviation: aBMD, areal bone mineral density; NHANES, National Health and Nutrition Examination Survey; PFAS, per- and polyfluoroalkyl substances.