Background: Phthalates are ubiquitous endocrine disrupting chemicals present in a wide variety of consumer products. However, the personal characteristics associated with phthalate exposure are unclear.

Objectives: We sought to describe personal, behavioral, and reproductive characteristics associated with phthalate metabolite concentrations in an ongoing study nested within the Women's Health Initiative (WHI).

Materials And Methods: We measured thirteen phthalate metabolites in two or three archived urine samples collected in 1993-2001 from each of 1257 WHI participants (2991 observations). We fit multivariable generalized estimating equation models to predict urinary biomarker concentrations from personal, behavioral, and reproductive characteristics.

Results: Older age was predictive of lower concentrations of monobenzyl phthalate (MBzP), mono-carboxyoctyl phthalate (MCOP), mono-3-carboxypropyl phthalate (MCPP), and the sum of di-n-butyl phthalate metabolites (ΣDBP). Phthalate metabolite concentrations varied by race/region, with generally higher concentrations observed among non-Whites and women from the West region. Higher neighborhood socioeconomic status predicted lower MBzP concentrations, and higher education predicted lower monoethyl phthalate (MEP) and higher concentrations of the sum of metabolites of di-isobutyl phthalate (ΣDiBP). Overweight/obesity predicted higher MBzP, MCOP, monocarboxynonyl phthalate (MCNP), MCPP, and the sum of metabolites of di(2-ethylhexyl) phthalate (ΣDEHP) and lower MEP concentrations. Alcohol consumption predicted higher concentrations of MEP and ΣDBP, while current smokers had higher ΣDBP concentrations. Better diet quality as assessed by Healthy Eating Index 2005 scores predicted lower concentrations of MBzP, ΣDiBP, and ΣDEHP.

Conclusion: Factors predictive of lower biomarker concentrations included increased age and healthy behaviors (e.g. lower alcohol intake, lower body mass index, not smoking, higher quality diet, and moderate physical activity). Racial group (generally higher among non-Whites) and geographic regions (generally higher in Northeast and West compared to South regions) also were predictive of phthalate biomarker concentrations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347530PMC
http://dx.doi.org/10.1016/j.envres.2018.10.024DOI Listing

Publication Analysis

Top Keywords

biomarker concentrations
16
phthalate
14
concentrations
14
generally higher
12
higher concentrations
12
predicted lower
12
higher
10
phthalate biomarker
8
characteristics associated
8
associated phthalate
8

Similar Publications

Cadmium (Cd) is a toxic heavy metal which induces vascular disorders. Previous studies suggest that Cd in the bloodstream affects vascular endothelial cells (ECs), potentially contributing to vascular-related diseases. However, the molecular mechanisms of effects of Cd on ECs remain poorly understood.

View Article and Find Full Text PDF

Assessment of bacteriological and immunological markers in urinary tract infection and the effect of antibiotics on the isolated bacteria.

Cell Mol Biol (Noisy-le-grand)

January 2025

Laboratory of Plant Improvement and Valorization of Agro-resources, National School of Engineers of Sfax, University of Sfax, Sfax LR.16ES20, Tunisia.

Urinary tract infections (UTIs) are recognized as the second most common medical condition, following respiratory infections. Despite the availability of numerous efficacious antibiotics for the management of UTIs, the rising incidence of bacterial resistance presents significant challenges in the treatment of these infections. Bacteria are endowed with the ability to reproduce and develop resistance mechanisms against antibiotics.

View Article and Find Full Text PDF

Prostate cancer is the most common type after the age of fifty. It affects males and affects the prostate gland, which protects the function of sperm by producing semen. The current study was designed to evaluate prostate cancer infection effects on some biomarkers such as irisin, Tumor necrosis factor-TNF-α, prostate acid phosphates -PAP, Glutathione-GSH, malondialdehyde-MDA, urea, and creatinine.

View Article and Find Full Text PDF
Article Synopsis
  • This study examines how serum metabolite profiles can help understand feed efficiency in lactating Holsteins and identify biomarkers for predicting residual feed intake (RFI).
  • Comparisons were made between high and low RFI cows at different lactation stages, revealing significant differences in various metabolites, especially notable changes in early and mid-lactation.
  • The findings suggest that specific metabolites, like p-Hydroxyhippuric acid and acetylornithine, could serve as effective biomarkers for predicting RFI, with models showing varying predictive accuracy across lactation stages.
View Article and Find Full Text PDF
Article Synopsis
  • Depression treatment effectiveness differs greatly among individuals, highlighting the need for objective biomarkers that can accurately predict therapy outcomes to improve treatment efficiency.
  • This study used functional near-infrared spectroscopy (fNIRS) combined with clinical assessments to explore whether machine learning techniques could forecast treatment responses in patients with major depressive disorder (MDD).
  • Findings revealed that changes in total hemoglobin levels in a specific brain region (dlPFC) correlated significantly with treatment response, and the fNIRS-only model demonstrated better predictive accuracy compared to a model that also included clinical data.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!