Parabens exposure, depression, and cardiovascular metabolic health in the elderly: Findings from a cross-sectional study in China

Parabens, ubiquitous preservatives with endocrine-disrupting potential, may adversely affect mental and cardiometabolic health, but evidence in elderly populations is limited. This study aimed to explore the relationships between urinary parabens and the risk of major depressive disorder (MDD) and cardiovascular and metabolic diseases (CMDs) among 921 community-dwelling elderly participants (aged ≥ 60 years) in Shandong, China. Urinary paraben concentrations were quantified using LC-MS. Multivariable logistic and linear regression were employed to assess the associations between individual parabens and health outcomes. The combined effects of the paraben mixture on MDD and CMDs were evaluated using Weighted Quantile Sum (WQS) and Bayesian Kernel Machine Regression (BKMR). Subgroup analyses were conducted by sex, age, BMI, and MDD status, with multiplicative interactions tested. Positive associations were observed between urinary methylparaben (MeP), ethylparaben (EtP), and the risk of MDD and CMDs (P-trend < 0.05). Compared with the reference, participants in the highest quartiles of MeP and EtP had significantly increased risks of MDD (MeP: OR = 2.88, 95% CI: 1.50-5.56; EtP: OR = 2.11, 95% CI: 1.01-3.89). For CMDs, MeP levels were associated with increased diabetes risk (OR = 1.65, 95% CI: 1.03-2.65). EtP levels were positively correlated with hypertension risk in males (OR = 1.85, 95% CI: 1.09-3.16), with significant sex differences (P-interaction = 0.034). WQS and BKMR regression analyses revealed significant positive joint effects of the paraben mixture on both MDD and CMDs, with MeP as the primary contributor. MeP also showed a significant positive association with composite burden scores for both MDD and CMDs. MDD and PHQ-9 scores were associated with increased Mets risk. Notably, the positive association of MeP and diabetes was confined to participants without MDD (OR = 1.82, 95% CI: 1.07-3.10). These findings implicate parabens as potentially modifiable environmental risk factors contributing to the dual burden of mental and cardiometabolic disorders in aging populations.

Authors

Institutions

Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2026-04-22
DOI
https://doi.org/10.1016/j.ecoenv.2026.120153
Primary Topic
Effects and risks of endocrine disrupting chemicals
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Parabens exposure, depression, and cardiovascular metabolic health in the elderly: Findings from a cross-sectional study in China

Shunli Jiang, Guangji Zhang, Yi Qiao, Zhongyan Du et al.
Ecotoxicology and Environmental Safety
Effects and risks of endocrine disrupting chemicals
article

Parabens exposure, depression, and cardiovascular metabolic health in the elderly: Findings from a cross-sectional study in China

Shunli Jiang, Guangji Zhang, Yi Qiao, Zhongyan Du, Qin Gao, Shuang Zhou, Ping Cui
article en

Abstract

Parabens, ubiquitous preservatives with endocrine-disrupting potential, may adversely affect mental and cardiometabolic health, but evidence in elderly populations is limited. This study aimed to explore the relationships between urinary parabens and the risk of major depressive disorder (MDD) and cardiovascular and metabolic diseases (CMDs) among 921 community-dwelling elderly participants (aged ≥ 60 years) in Shandong, China. Urinary paraben concentrations were quantified using LC-MS. Multivariable logistic and linear regression were employed to assess the associations between individual parabens and health outcomes. The combined effects of the paraben mixture on MDD and CMDs were evaluated using Weighted Quantile Sum (WQS) and Bayesian Kernel Machine Regression (BKMR). Subgroup analyses were conducted by sex, age, BMI, and MDD status, with multiplicative interactions tested. Positive associations were observed between urinary methylparaben (MeP), ethylparaben (EtP), and the risk of MDD and CMDs (P-trend < 0.05). Compared with the reference, participants in the highest quartiles of MeP and EtP had significantly increased risks of MDD (MeP: OR = 2.88, 95% CI: 1.50-5.56; EtP: OR = 2.11, 95% CI: 1.01-3.89). For CMDs, MeP levels were associated with increased diabetes risk (OR = 1.65, 95% CI: 1.03-2.65). EtP levels were positively correlated with hypertension risk in males (OR = 1.85, 95% CI: 1.09-3.16), with significant sex differences (P-interaction = 0.034). WQS and BKMR regression analyses revealed significant positive joint effects of the paraben mixture on both MDD and CMDs, with MeP as the primary contributor. MeP also showed a significant positive association with composite burden scores for both MDD and CMDs. MDD and PHQ-9 scores were associated with increased Mets risk. Notably, the positive association of MeP and diabetes was confined to participants without MDD (OR = 1.82, 95% CI: 1.07-3.10). These findings implicate parabens as potentially modifiable environmental risk factors contributing to the dual burden of mental and cardiometabolic disorders in aging populations.

Ecotoxicology and Environmental SafetyVol. 316
Zhejiang Chinese Medical University (CN), Hubei Provincial Hospital of Traditional Chinese Medicine (CN), Blood Center of Zhejiang Province (CN), Jining Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Natural Science Foundation of Shandong Province, Youth Innovation Technology Project of Higher School in Shandong Province
Good health and well-being
Openalex Percentile: Top 17%
Effects and risks of endocrine disrupting chemicals
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.