Urinary Phthalate Metabolites and Slow Walking Speed in the Korean Elderly Environmental Panel II Study
Affiliation
Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, University of ArizonaIssue Date
2023-04-05
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Yoon, J., García-Esquinas, E., Kim, J., Kwak, J. H., Kim, H., Kim, S., ... & Choi, Y. H. (2023). Urinary Phthalate Metabolites and Slow Walking Speed in the Korean Elderly Environmental Panel II Study. Environmental Health Perspectives, 131(4), 047005.Rights
EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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. METHODS: We analyzed 1,190 older adults [range, 60–98 y of age; mean ± standard deviation ðSDÞ, 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 follow-ing 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. © 2023, Public Health Services, US Dept of Health and Human Services. All rights reserved.Note
Open access journalISSN
0091-6765PubMed ID
37018009DOI
10.1289/EHP10549Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1289/EHP10549
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