Association Between Environmental Chemicals Phthalates and Stroke Among the US Adults: A Cross-Sectional Study
Clinical Snapshot
PICO Framework
| P — Population | 10,771 US adults from NHANES (2003-2018) with complete stroke status, urinary phthalate, and clinical covariate data |
| I — Intervention | Exposure to environmental phthalates (measured via urinary metabolites: MECPP, MCPP, MNBP, MEOHP, MBZP) |
| C — Comparator | Lower levels of urinary phthalate metabolites |
| O — Outcomes | Stroke prevalence, with secondary analysis of coffee consumption as potential protective factor |
Bottom Line
This large cross-sectional study of over 10,000 US adults suggests certain phthalate metabolites may be associated with increased stroke risk, with molecular evidence supporting SRC protein as a potential mechanistic target. However, the cross-sectional design prevents establishing causality, and stroke outcomes were likely self-reported. The finding that moderate coffee consumption may be protective (OR 0.63) is intriguing but requires validation in prospective studies. While phthalate testing isn't clinically routine, this research adds to growing evidence linking environmental chemicals to cardiovascular disease. Clinicians should be aware of potential environmental contributors to stroke risk, though current evidence doesn't support routine phthalate screening. The protective association with moderate coffee consumption aligns with existing cardiovascular literature but needs confirmation in longitudinal studies before clinical recommendations.
Key Findings
P Value: Significant associations reported (specific p-values not provided in abstract)
Effect Size: Significant positive associations for MECPP, MCPP, MNBP, and MEOHP with stroke risk
Primary Outcome: Stroke prevalence associated with urinary phthalate metabolite levels
Nnt Or Sensitivity: Random Forest model achieved AUC = 0.833 for stroke prediction
Confidence Interval: Coffee consumption OR = 0.63 (95%CI: 0.51-0.77)
Clinical Application
Urinary phthalate testing not routinely available in clinical practice; coffee consumption easily assessable Relevant to Australian practice given similar phthalate exposure patterns; aligns with RACGP environmental health guidelines and cardiovascular risk prevention strategies Adult population with environmental phthalate exposure, particularly relevant for cardiovascular risk assessment
Abstract
Stroke has a multifactorial etiology, and phthalates, as widely used environmental chemicals, may play an underexplored role in cerebrovascular health. This study aimed to evaluate the association between urinary phthalate metabolites and stroke risk using data from the National Health and Nutrition Examination Survey (NHANES), complemented by network toxicology, molecular docking, and machine learning approaches. We analyzed data from 10,771 adult participants in NHANES (2003-2018) who had complete records of stroke status, urinary phthalates, and clinical covariates. Multivariable logistic regression and restricted cubic spline (RCS) models were used to assess associations. We constructed protein-protein interaction networks and performed molecular docking to identify potential toxicological targets. Five machine learning algorithms were employed to develop predictive models for phthalate-related stroke risk. Higher levels of MECPP, MCPP, MNBP, and MEOHP were significantly associated with increased stroke prevalence. Network toxicology identified SRC as a key target, and molecular docking confirmed strong binding affinity between MBZP and SRC. Among the machine learning methods, Random Forest achieved the highest predictive performance (AUC = 0.833). Notably, moderate coffee consumption (≤ 170 g/day) was significantly associated with a reduced risk of stroke (OR = 0.63, 95%CI: 0.51-0.77), suggesting potential dietary mitigation against phthalate-related stroke risk. Our findings demonstrate that certain phthalates may increase stroke risk via molecular pathways involving SRC. Furthermore, moderate coffee consumption may mitigate the adverse cerebrovascular effects of these environmental pollutants.
References
- 1.Yang, Q., Wu, P., Li, H., Yang, R., Luo, Y., Li, M., Yin, S., Dang, X., & Liu, Y. (2026). Association Between Environmental Chemicals Phthalates and Stroke Among the US Adults: A Cross-Sectional Study. Cardiovascular Toxicology. https://doi.org/10.3390/ijms130810143
Related Research
Sleep medicine reviews
Machine and deep learning in REM sleep behavior disorder: a scoping review and analysis of reporting quality
3 Aug 2026
Neurological research
Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal
2 Aug 2026
Journal of psychiatric research
Systematic review of machine learning and deep learning models for EEG-based detection of depression.
2 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service