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Consistent with other studies, longer breastfeeding duration and lower BMI predicted higher serum OCPs.
Multivariable analyses in girls showed childhood body dissatisfaction and its interaction with childhood BMI predicted higher adolescent body dissatisfaction (for body dissatisfaction, B = 1.42, 95% CI 0.75 2.10, P≤0.0001; for body dissatisfaction × BMI, B = 0.90, 95% CI 0.50 1.30, P≤0.0001; Table 3).
Consistent with other studies of persistent organic pollutants in this cohort and other populations (Burns et al. 2009; Den Hond et al. 2009; Gallo et al. 2011; Humblet et al. 2010; Karmaus et al. 2001), lower BMI predicted higher serum OCP concentrations.
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For both HDL- and LDL-cholesterol, as with triglyceride screening, higher BMI and age predicted higher screening rates, and female sex predicted lower rates.
Persistent PCBs with ≥7 chlorides predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 with similar dose-response curves.
Among OC pesticides, p,p'-DDE most consistently predicted higher BMI, triglycerides, and HOMA-IR and lower HDL-cholesterol at year 20 after adjusting for baseline values.
The novel finding that lower resilience predicted higher BMI in Portugal and higher WC in GB suggests that taking measures to promote resilience at both the individual and public health level may reduce obesity in both countries.
Although the interaction between body dissatisfaction and BMI at age 10 years predicted higher weight and shape concern across genders (in girls B = 0.21, 95% CI 0.11 0.31; in boys B = 0.26, 95% CI 0.18 0.33), higher self-esteem remained predictive of lower weight and shape concern scores only in boys (Table 3).
Higher BMI before pregnancy and higher gestational weight gain predicted higher concentrations of fuels during pregnancy, although the effect was small (r = 0.11 0.18).
The data showed that the reported time spent on different types of daily activities using the questionnaire predicted higher fitness scores, lower LDL levels, and lower BMI.
The aim of this study was to investigate the optimal CDC BMI percentile that predicts higher visceral adipose tissue (VAT), total body fat mass and cardiometabolic risk in a biracial sample of children and adolescents.
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