Evidence of the influence of prenatal phthalate exposure on childhood longitudinal obesity markers is limited. Nested on the Ma'anshan birth cohort study, 990 mother-daughter pairs were included. Seven phthalate metabolites were determined in urine collected in each trimester. Each child underwent a physical examination from birth to 6 years of age twelve times. Latent class growth models were used to identify three trajectories of girls' body mass index (BMI). Logistic regression, quantile g-computation and Bayesian kernel machine regression models analyzed the relationships of prenatal exposure to individual and mixed phthalates with girls' body mass index (BMI) trajectory. Compared to the "lowest trajectory" class, prenatal average concentrations of mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP, OR = 2.095, 95 % CI = 1.014-4.328) and di(2-ethylhexyl) phthalate (DEHP, OR = 2.336, 95 % CI = 1.022-5.338) during pregnancy were associated with an increased probability of being in the "highest trajectory" class. The average concentration of DEHP (OR = 1.879, 95 % CI = 1.002-3.522) was associated with an increased probability of being in the "moderate trajectory" class. Stratified analyses by trimester of pregnancy mainly showed that third-trimester exposure to monoethyl phthalate (MEP, OR = 1.584, 95 % CI = 1.094-2.292), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP, OR = 2.885, 95 % CI = 1.367-6.088), MEHHP (OR = 2.425, 95 % CI = 1.335-4.407), DEHP (OR = 2.632, 95 % CI = 1.334-5.193) and high molecular weight phthalate (OR = 2.437, 95 % CI = 1.239-4.792) was associated with an increased probability of being in the "highest trajectory" class. However, the mixture of phthalates was not significantly related to the girl's BMI trajectory. In conclusion, in utero exposure to phthalates, including MEP and DEHP metabolites (MEHHP and MEOHP), was significantly associated with early childhood high BMI trajectories in girls. The third trimester of pregnancy seemed to be the window of vulnerability to phthalate exposure for girls' high BMI trajectory at periods of prenatal development. No evidence supported a significant relationship between combined exposure to phthalate metabolites and girls' high BMI trajectory.
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http://dx.doi.org/10.1016/j.ecoenv.2022.113837 | DOI Listing |
Nutr Metab Cardiovasc Dis
November 2024
Department of Population Health and Health Disparities/School of Public and Population Health, The University of Texas Medical Branch, 301 University Blvd., Galveston, TX, 77555, USA; Division of Geriatrics Medicine/Department of Internal Medicine, The University of Texas Medical Branch, 301 University Blvd., Galveston, TX, 77555, USA; Sealy Center on Aging, The University of Texas Medical Branch, 301 University Blvd., 77555, Galveston, TX, USA. Electronic address:
Background And Aims: Worldwide, the prevalence of overweight and obesity has increased. We examined sex-specific patterns in the relationship of body mass index (BMI) with muscle strength and physical function among older Mexican Americans over time.
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J Intern Med
December 2024
Fresenius Medical Care, Global Medical Office, Bad Homburg, Germany.
Background: Fluid overload remains critical in managing patients with end-stage kidney disease. However, there is limited empirical understanding of fluid overload's impact on mortality. This study analyzes fluid overload trajectories and their association with mortality in hemodialysis patients.
View Article and Find Full Text PDFBraz J Psychiatry
December 2024
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.
Objective: Disordered Eating Behaviors (DEB) are associated with dysfunctional changes in eating behavior, not meeting diagnostic criteria for eating disorders. DEB affects a significant percentage of individuals, yet it remains under-researched. The current study investigates the developmental trajectory and psychopathological correlates of DEB in children and adolescents in Brazil.
View Article and Find Full Text PDFNeurology
January 2025
Department of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Background And Objective: The impact of menopause on the brain is not well understood. Hormonal changes, including puberty and pregnancy, influence the onset and course of multiple sclerosis (MS). After menopause, a worsening of MS disease trajectory measured on the clinician-rated Expanded Disability Status Scale (EDSS) was reported in some, but not all, studies.
View Article and Find Full Text PDFUnderstanding the neurobiological underpinnings of weight gain could reduce excess mortality and improve long-term trajectories of psychiatric disorders. We used support-vector machines and whole-brain voxel-wise grey matter volume to generate and validate a BMI predictor in healthy individuals (N = 1504) and applied it to individuals with schizophrenia (SCZ,N = 146), clinical high-risk states for psychosis (CHR,N = 213) and recent-onset depression (ROD,N = 200). We computed BMIgap (BMI-BMI), interrogated its brain-level overlaps with SCZ and explored whether BMIgap predicted weight gain at 1- and 2-year follow-up.
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