RESUMEN
Background: The postpartum period may be a vulnerable life stage for a woman's cardiometabolic health. We examined associations of exposure to common endocrine-disrupting chemicals (EDCs) during pregnancy with weight from delivery through 1 year postpartum among 199 women in Mexico City. Materials and Methods: During each trimester of pregnancy, we collected a urine sample to assay bisphenol A (BPA), mono-n-butyl phthalate (MnBP), mono-isobutyl phthalate (MiBP), monobenzyl phthalate (MBzP), mono-3-carboxypropyl phthalate (MCPP), mono-2-ethyl-5-carboxypentyl phthalate (MECPP), mono-2-ethyl-5-hydroxyhexyl phthalate (MEHHP), mono-2-ethylhexyl phthalate (MEHP), mono-2-ethyl-5-oxohexyl phthalate (MEOHP), and monoethyl phthalate (MEP). We calculated summary scores for di-2-ethylhexyl phthalate metabolites (ΣDEHP) and dibutyl phthalate metabolites (ΣDBP). We calculated the geometric mean of each EDC across pregnancy for use in the analysis. At delivery and three additional times during the first year postpartum, we measured the women's weight. We used mixed-effects linear regression models to estimate associations of each EDC with weight at delivery (kg) and weight change (kg/year) from delivery through 1 year postpartum. Covariates included urinary specific gravity, maternal age, parity, height, first trimester body mass index, and gestational age at enrollment. Results: Mean ± standard deviation weight change during the first postpartum year was -0.49 ± 4.04 kg. The EDCs were inversely associated with weight at delivery, but positively associated with weight change through 1 year postpartum. For example, each interquartile range of urinary ΣDEHP corresponded with 1.38 (95% confidence interval: 0.44-2.33) kg lower weight at delivery and 1.01 (0.41--1.61) kg/year slower rate of weight loss. We observed similar associations for other EDCs. Conclusions: Prenatal exposure to EDCs is associated with lower weight at delivery, but slower rate of weight loss through the first postpartum year.
Asunto(s)
Disruptores Endocrinos/efectos adversos , Exposición a Riesgos Ambientales , Contaminantes Ambientales/efectos adversos , Ganancia de Peso Gestacional , Estudios de Cohortes , Disruptores Endocrinos/orina , Contaminantes Ambientales/orina , Femenino , Humanos , México/epidemiología , Periodo Posparto , EmbarazoRESUMEN
BACKGROUND AND OBJECTIVES: Dietary variety and diversity are recommended in dietary guidelines, but their association with BMI in US preschool-aged children is unknown. This study examined predictors of dietary variety and diversity and their association with child BMI z score (BMIz). METHODS: Primary caregivers responded to a food frequency questionnaire. Child anthropometry was obtained concurrently (n = 340) and prospectively (n = 264). Dietary variety scores and dietary diversity scores were computed. Multivariable linear regression was used to model predictors of these scores and their association with BMIz concurrently and BMIz change per year prospectively. RESULTS: The sample was 49.4% boys; 69.4% of the primary caregivers were non-Hispanic white and 46.2% had a high school education or less. Girls and older children had greater Fruit and Vegetable Variety (gender: P = .03, age: P < .001), Healthy Foods Variety (P = .02, P < .001), and Dietary Diversity (P = .04, P = .03) scores. Older children also had greater scores for Overall Variety (P < .001) and Moderation Foods (eg, high-fat, high-sugar foods recommended to be consumed in moderation) (P < .001). Having a non-Hispanic white primary caregiver (versus not) was associated with lower Dietary Diversity (P = .01). Greater Healthy Variety, Overall Variety, and Dietary Diversity were associated with greater annual increases in BMIz prospectively (ß[SE] = 0.009 [0.004], P = .04; ß[SE] = 0.007 [0.003], P = .02; ß[SE] = 0.003 [0.001], P = .02, respectively), adjusted for energy intake. CONCLUSIONS: Greater dietary variety and diversity were prospectively associated with higher BMIz. Targeting dietary variety and diversity as an obesity prevention strategy in children requires careful consideration.
Asunto(s)
Índice de Masa Corporal , Ingestión de Energía/fisiología , Conducta Alimentaria , Encuestas Nutricionales/métodos , Obesidad/prevención & control , Medición de Riesgo/métodos , Preescolar , Femenino , Estudios de Seguimiento , Humanos , Incidencia , Masculino , Michigan/epidemiología , Obesidad/epidemiología , Estudios Prospectivos , Factores de TiempoRESUMEN
OBJECTIVE: Low- and middle-income countries are experiencing rises in the prevalence of adult obesity. Whether these increases disproportionately affect vulnerable subpopulations is unclear because most previous investigations were not nationally representative, were limited to women, or relied on self-reported anthropometric data which are subject to bias. The aim of the present study was to assess changes in the prevalence of obesity from 2005 to 2010 in Colombian adults; overall and by levels of sociodemographic characteristics. DESIGN: Two cross-sectional, nationally representative surveys. SETTING: Colombia. SUBJECTS: Men and women 18-64 years old (n 31 105 in 2005; n 81 115 in 2010). RESULTS: The prevalence of obesity (BMI ≥30 kg/m2) was 13·9 % in 2005 and 16·4 % in 2010 (prevalence difference = 2·7 %; 95 % CI 1·9, 3·4 %). In multivariable analyses, obesity was positively associated with female sex, age, wealth, and living in the Pacific or National Territories regions in each year. In 2010, obesity was also associated with living in an urban area. The change in the prevalence of obesity from 2005 to 2010 varied significantly according to wealth; 5·0 % (95 % CI 3·3, 6·7 %) among the poorest and 0·3 % (95 % CI -1·6, 2·2 %) in the wealthiest (P, test for interaction = 0·007), after adjustment. Obesity rates also increased faster in older than younger people (P, test for interaction = 0·01), among people from urban compared with non-urban areas (P, test for interaction = 0·06) and in adults living in the Atlantic region compared with others. CONCLUSIONS: Adult obesity prevalence has increased in Colombia and its burden is shifting towards the poor and urban populations.