Joint effects of contaminants of emerging concern (CECs) on sleep quality in Chinese elderly: A Bayesian kernel machine regression and quantile g-computation analysis

Despite their trace concentrations in the environment, contaminants of emerging concern (CECs) pose potential risks to human health, particularly for vulnerable populations like the elderly. However, current research provides limited insight into the relationship between CECs and sleep quality in older adults. The current study involved 3096 seniors aged 60 and above through face-to-face interviews. Urine samples were collected to biomonitor 50 CECs. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). To study the association between CECs and sleep quality, multivariable logistic and multi-pollutant exposure models were utilized. At least one of the 50 CECs was detected, with more than half of urine samples containing five antibiotic categories and 11 other CECs. In the multivariable logistic analysis, azithromycin, sulfamonomethoxine, lincosamides, and N, N-diethyl-m-toluamide (DEET) were positively linked with reduced sleep quality, with odds ratios (ORs) varying from 1.17 to 1.38. When all of the target CECs were elevated to the 60th percentile or above compared to median values, Bayesian kernel machine regression (BKMR) analysis revealed a significant combined association of five antibiotic categories and five other individual CECs with poor sleep quality. DEET, tetracyclines, lincosamides, acetaminophen and metformin exhibited positive risk trends, whereas other CECs showed flat or modest inverse risk trends. Quantile g-computation (Qgcomp) regression analysis identified a significant adverse combined association between the five antibiotic categories and five other CECs and sleep quality (OR=1.21, 95% CI: 1.05-1.38). DEET, tetracyclines, acetaminophen, lincosamides, macrolides, sulfonamides, metformin, and cotinine each presented positive associations with poor sleep quality, with DEET, tetracyclines, and acetaminophen contributing the higher weights (0.308, 0.229, and 0.220, respectively). Exposure to certain CECs-particularly DEET, tetracyclines, and acetaminophen-was associated with sleep disturbances in an elderly Chinese population. Public health interventions targeting environmental CECs and medication management are warranted.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2026-03-23
DOI
https://doi.org/10.1016/j.ecoenv.2026.120054
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
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article

Joint effects of contaminants of emerging concern (CECs) on sleep quality in Chinese elderly: A Bayesian kernel machine regression and quantile g-computation analysis

Hongwei Fu, H. J. Yang, Xing Liu, Yuxin Zhao et al.
Ecotoxicology and Environmental Safety
Pharmaceutical and Antibiotic Environmental Impacts
article

Joint effects of contaminants of emerging concern (CECs) on sleep quality in Chinese elderly: A Bayesian kernel machine regression and quantile g-computation analysis

Hongwei Fu, H. J. Yang, Xing Liu, Yuxin Zhao, Yuanyuan Xu, Man Cao, Kaiyong Liu, Fangbiao Tao, Hongjuan Cao, Sheng Wang, Liang Ruan, Hongshen Zhan
article en

Abstract

Despite their trace concentrations in the environment, contaminants of emerging concern (CECs) pose potential risks to human health, particularly for vulnerable populations like the elderly. However, current research provides limited insight into the relationship between CECs and sleep quality in older adults. The current study involved 3096 seniors aged 60 and above through face-to-face interviews. Urine samples were collected to biomonitor 50 CECs. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). To study the association between CECs and sleep quality, multivariable logistic and multi-pollutant exposure models were utilized. At least one of the 50 CECs was detected, with more than half of urine samples containing five antibiotic categories and 11 other CECs. In the multivariable logistic analysis, azithromycin, sulfamonomethoxine, lincosamides, and N, N-diethyl-m-toluamide (DEET) were positively linked with reduced sleep quality, with odds ratios (ORs) varying from 1.17 to 1.38. When all of the target CECs were elevated to the 60th percentile or above compared to median values, Bayesian kernel machine regression (BKMR) analysis revealed a significant combined association of five antibiotic categories and five other individual CECs with poor sleep quality. DEET, tetracyclines, lincosamides, acetaminophen and metformin exhibited positive risk trends, whereas other CECs showed flat or modest inverse risk trends. Quantile g-computation (Qgcomp) regression analysis identified a significant adverse combined association between the five antibiotic categories and five other CECs and sleep quality (OR=1.21, 95% CI: 1.05-1.38). DEET, tetracyclines, acetaminophen, lincosamides, macrolides, sulfonamides, metformin, and cotinine each presented positive associations with poor sleep quality, with DEET, tetracyclines, and acetaminophen contributing the higher weights (0.308, 0.229, and 0.220, respectively). Exposure to certain CECs-particularly DEET, tetracyclines, and acetaminophen-was associated with sleep disturbances in an elderly Chinese population. Public health interventions targeting environmental CECs and medication management are warranted.

Ecotoxicology and Environmental SafetyVol. 314
Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN), Third People's Hospital of Hefei (CN), Lu'an First People's Hospital (CN)
No poverty
Openalex Percentile: Top 11%
Pharmaceutical and Antibiotic Environmental Impacts
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