Association between phthalate exposure and sleep quality in pregnant women: Results from the Korean Children’s Environmental Health Study with repeated assessment of exposure

Background: Evidence linking environmental toxicants to sleep quality is growing; however, these associations during pregnancy remain unclear. We examined the associations of repeated measures of urinary phthalates in early and late pregnancy with multiple markers of sleep quality among pregnant women. Methods: The study population included 2324 pregnant women from the Korean Children’s Environmental Health Study. We analyzed spot urine samples collected at two time points during pregnancy for exposure biomarkers of eight phthalate metabolites. We investigated associations between four summary phthalates (all phthalates: ∑Phthalates; di-(2-ethylhexyl) phthalate: ∑DEHP; phthalates from plastic sources: ∑Plastic; and antiandrogenic phthalates: ∑AA) and eight individual phthalates and self-reported sleep measures using generalized ordinal logistic regression and generalized estimating equations models that accounted for repeated exposure measurements. The models were adjusted for age, body mass index, education, gestational age, income, physical activity, smoking, occupation, chronic diseases, depression, and urinary cotinine levels. Results: Multiple individual phthalates and summary measures of phthalate mixtures, including ∑Plastic, ∑DEHP, ∑AA, and ∑Phthalates, were associated with lower sleep efficiency. To illustrate, every 1-unit log increase in ∑AA was associated with a reduction of sleep efficiency by 1.37 % (95% confidence interval [CI] = –2.41, –0.32). ∑AA and ∑Phthalates were also associated with shorter sleep duration and longer sleep latency. Associations between summary phthalate measures and sleep efficiency differed by urinary cotinine levels ( P for subgroup difference < 0.05). Conclusions: Findings suggest that higher phthalate exposure may be related to lower sleep efficiency, shorter sleep duration, and prolonged sleep latency during pregnancy.

Authors

Institutions

Publication Details

Journal
Environmental Epidemiology
Published
2024-08-20
DOI
https://doi.org/10.1097/ee9.0000000000000329
Citations
8
Primary Topic
Effects and risks of endocrine disrupting chemicals
Type
article
Field-Weighted Citation Impact
2.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between phthalate exposure and sleep quality in pregnant women: Results from the Korean Children’s Environmental Health Study with repeated assessment of exposure

Jisuk Bae, Suejin Kim, Hwan‐Cheol Kim, Dirga Kumar Lamichhane et al.
8 citations
Environmental Epidemiology
Effects and risks of endocrine disrupting chemicals
2.52
article

Association between phthalate exposure and sleep quality in pregnant women: Results from the Korean Children’s Environmental Health Study with repeated assessment of exposure

Jisuk Bae, Suejin Kim, Hwan‐Cheol Kim, Dirga Kumar Lamichhane, Myung‐Sook Park, Amanda V. Bakian, Dong‐Wook Lee, Woojin Kim, Hyun‐Ju Park, Yun-Chul Hong, Eunhee Ha, Sanghwan Song
article en
8 citations

Abstract

Background: Evidence linking environmental toxicants to sleep quality is growing; however, these associations during pregnancy remain unclear. We examined the associations of repeated measures of urinary phthalates in early and late pregnancy with multiple markers of sleep quality among pregnant women. Methods: The study population included 2324 pregnant women from the Korean Children’s Environmental Health Study. We analyzed spot urine samples collected at two time points during pregnancy for exposure biomarkers of eight phthalate metabolites. We investigated associations between four summary phthalates (all phthalates: ∑Phthalates; di-(2-ethylhexyl) phthalate: ∑DEHP; phthalates from plastic sources: ∑Plastic; and antiandrogenic phthalates: ∑AA) and eight individual phthalates and self-reported sleep measures using generalized ordinal logistic regression and generalized estimating equations models that accounted for repeated exposure measurements. The models were adjusted for age, body mass index, education, gestational age, income, physical activity, smoking, occupation, chronic diseases, depression, and urinary cotinine levels. Results: Multiple individual phthalates and summary measures of phthalate mixtures, including ∑Plastic, ∑DEHP, ∑AA, and ∑Phthalates, were associated with lower sleep efficiency. To illustrate, every 1-unit log increase in ∑AA was associated with a reduction of sleep efficiency by 1.37 % (95% confidence interval [CI] = –2.41, –0.32). ∑AA and ∑Phthalates were also associated with shorter sleep duration and longer sleep latency. Associations between summary phthalate measures and sleep efficiency differed by urinary cotinine levels ( P for subgroup difference < 0.05). Conclusions: Findings suggest that higher phthalate exposure may be related to lower sleep efficiency, shorter sleep duration, and prolonged sleep latency during pregnancy.

Environmental EpidemiologyVol. 8(5)
Ewha Womans University (KR), Seoul National University (KR), Kangwon National University (KR), Inha University (KR), University of Utah (US), Huntsman Cancer Institute (US), Thales (Australia) (AU), Daegu Catholic University (KR), Online Technologies (United States) (US), Ministry of Environment (KR), The Stables (GB), National Institute of Environmental Research (KR)
Ewha Womans University, Ministry of Environment, Ministry of Education, India, National Institute of Environmental Research
Good health and well-being
Openalex Percentile: Top 11%
Effects and risks of endocrine disrupting chemicals
2.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.