METHODS: We used data from health and demographic surveillance conducted by the South East Asia Community Observatory in Segamat, Malaysia. Analyses included 9207 individuals (4806 children, 2570 mothers and 1831 fathers). Child obesity was defined based on the World Health Organization 2007 reference. We assessed the relation between parental anthropometric (overweight, obesity and central obesity) and cardiometabolic (systolic hypertension, diastolic hypertension and hyperglycaemia) risk factors and child obesity, using mixed effects Poisson regression models with robust standard errors.
RESULTS: We found a high burden of overweight and obesity among children in this population (30% overweight or obese). Children of one or more obese parents had a 2-fold greater risk of being obese compared with children of non-obese parents. Sequential adjustment for parental and child characteristics did not materially affect estimates (fully adjusted relative risk for obesity in both parents: 2.39, 95% confidence interval: 1.82, 3.10, P
METHODS: This is an observational, cross-sectional analysis of 486 women who presented to a tertiary urogynecological center between May 2013 and August 2014. They underwent a standardized interview and an examination that involved 3-dimensional/4-dimensional TPUS. The SMIS and VAS were administered if they answered positively to a question on AI. The association between defects of the EAS and symptoms of AI was evaluated using bivariate tests, as well as adjusting for pertinent covariates using multiple linear regression modeling.
RESULTS: Of the included patients, 17.1% reported AI, and 15.2% had significant EAS defects (≥4 slices) on TPUS imaging. A significant sonographic defect was diagnosed in 23% of women with AI versus 14% of those without (P = 0.033). Women with symptoms of AI were more likely to have a significant defect on TPUS (odds ratio, 1.878; 95% confidence interval, 1.05-3.37). No significant findings were seen when analyzing SMIS, its components, and VAS against sonographic EAS defects.
CONCLUSIONS: The symptom of AI is associated with significant EAS defects detected on TPUS. However, this study failed to show an association between significant EAS defects and the SMIS and VAS.
METHODS: Biomarkers of internal exposure were measured in red blood cells (collected at baseline) by high-performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS) . In this cross-sectional analysis, four dependent variables were evaluated: HbAA, HbGA, sum of total adducts (HbAA + HbGA), and their ratio (HbGA/HbAA). Simple and multiple regression analyses were used to identify determinants of the four outcome variables. All dependent variables (except HbGA/HbAA) and all independent variables were log-transformed (log2) to improve normality. Median (25th-75th percentile) HbAA and HbGA adduct levels were 41.3 (32.8-53.1) pmol/g Hb and 34.2 (25.4-46.9) pmol/g Hb, respectively.
RESULTS: The main food group determinants of HbAA, HbGA, and HbAA + HbGA were biscuits, crackers, and dry cakes. Alcohol intake and body mass index were identified as the principal determinants of HbGA/HbAA. The total percent variation in HbAA, HbGA, HbAA + HbGA, and HbGA/HbAA explained in this study was 30, 26, 29, and 13 %, respectively.
CONCLUSIONS: Dietary and lifestyle factors explain a moderate proportion of acrylamide adduct variation in non-smoking postmenopausal women from the EPIC cohort.