2026-06-14T03:32:26Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/169062024-09-27T18:35:32Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608
Repisalud
author
Yoon, Jeonggyo
author
García-Esquinas, Esther
author
Kim, Junghoon
author
Kwak, Jung Hyun
author
Kim, Hongsoo
author
Kim, Sungroul
author
Kim, Kyoung-Nam
author
Hong, Yun-Chul
author
Choi, Yoon-Hyeong
funder
National Research Foundation of Korea
funder
Ministry of Science, ICT and Future Planning (Korea)
funder
Ministry of Education (Korea)
funder
Ministry of Environment (Korea)
funder
Centro de Investigación Biomédica en Red - CIBERESP (Epidemiología y Salud Pública)
funder
Seoul National University Hospital (Korea)
funder
Seoul National University (Korea)
2024-01-09T11:43:04Z
2024-01-09T11:43:04Z
2023-04
Environ Health Perspect. 2023 Apr;131(4):47005.
10.1289/EHP10549
1552-9924
Environmental health perspectives
37018009
http://hdl.handle.net/20.500.12105/16906
Background: Previous epidemiological studies have suggested that phthalate exposure may contribute to neurocognitive and neurobehavioral disorders and decreased muscle strength and bone mass, all of which may be associated with reduced physical performance. Walking speed is a reliable assessment tool for measuring physical performance in adults age 60 y and older. Objective: We investigated associations between urinary phthalate metabolites and slowness of walking speed in community-dwelling adults ages 60-98 y. Methods: We analyzed 1,190 older adults [range, 60-98 y of age; mean ± standard deviation (SD), 74.81 ± 5.99] from the Korean Elderly Environmental Panel II study and measured repeatedly up to three times between 2012 and 2014. Phthalate exposure was estimated using the following phthalate metabolites in urine samples: mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP), mono-n-butyl phthalate (MnBP), mono-(2-ethyl-5-carboxypentyl) phthalate (MECPP), and mono-benzyl phthalate (MBzP). Slowness was defined as a walking speed of < 1.0 meter/second. We used logistic and linear regression models to evaluate the association between each urinary phthalate metabolite and slowness or walking-speed change. We also used Bayesian kernel machine regression (BKMR) to examine overall mixture effects on walking speed. Results: At enrollment, MBzP levels were associated with an increased odds of slowness [odds ratio (OR) per doubling increase: 1.15, 95% confidence interval (CI): 1.02, 1.30; OR for the highest vs. lowest quartile: 2.20 (95% CI: 1.12, 4.35) with p-trend across quartiles = 0.031]. In longitudinal analyses, MEHHP levels showed an increased risk of slowness [OR per doubling increase: 1.15 (95% CI: 1.02, 1.29), OR for the highest vs. lowest quartile: 1.47 (95% CI: 1.04, 2.06), p−trend=0.035]; whereas those with higher MnBP showed a reduced risk of slowness [OR per doubling increase: 0.84 (95% CI: 0.74, 0.96), OR in the highest (vs. lowest) quartile: 0.64 (95% CI: 0.47, 0.87), p−trend=0.006]. For linear regression models, MBzP quartiles were associated with slower walking speed (p−trend=0.048) at enrollment, whereas MEHHP quartiles were associated with slower walking speed, and MnBP quartiles were associated with faster walking speed in longitudinal analysis (p−trend=0.026 and <0.001, respectively). Further, the BKMR analysis revealed negative overall trends between the phthalate metabolite mixtures and walking speed and DEHP group (MEHHP, MEOHP, and MECPP) had the main effect of the overall mixture. Discussion: Urinary concentrations of prevalent phthalates exhibited significant associations with slow walking speed in adults ages 60-98 y. https://doi.org/10.1289/EHP10549.
eng
Urinary Phthalate Metabolites and Slow Walking Speed in the Korean Elderly Environmental Panel II Study
research article
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