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Published: 2026-03-31
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DOI: https://doi.org/10.52163/yhc.v67i3.4601
Issue
Vol. 67 No. 3
Section
Articles
How to Cite
Trọng, N. C., Thanh, H. T. K., Tần, P. H., Hà, L. N., Thúy, N. T., & Thim, N. T. T. (2026). RESEARCH ON ANTHROPOMETRIC INDICES AND METABOLIC SYNDROME IN WORKERS COMING FOR HEALTH CHECK-UPS AT HANOI MEDICAL UNIVERSITY HOSPITAL IN 2024 . Vietnam Journal of Community Medicine, 67(3). https://doi.org/10.52163/yhc.v67i3.4601

RESEARCH ON ANTHROPOMETRIC INDICES AND METABOLIC SYNDROME IN WORKERS COMING FOR HEALTH CHECK-UPS AT HANOI MEDICAL UNIVERSITY HOSPITAL IN 2024

Nguyen Cong Trong1, Ho Thi Kim Thanh1,2, Pham Huy Tan2, Le Ngoc Ha1,2, Nguyen Thi Thuy2, Nguyen Thi Thanh Thim3
1 Hanoi Medical University
2 Hanoi Medical University Hospital
3 Hai Phong University of Medicine and Pharmacy

Main Article Content

Abstract

Objective: To describe and analyze the associations of anthropometric indices with the prediction of metabolic syndrome (MetS) among workers undergoing health check-ups at Hanoi Medical University Hospital.


Methods: A cross-sectional study was conducted on 719 workers attending routine health examinations at Hanoi Medical University Hospital.


Results: A total of 719 participants were included (54.9% women and 45.1% men). In both men and women, participants with MetS had significantly higher waist circumference, hip circumference, neck circumference, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), and body mass index (BMI) compared with those without MetS (p < 0.001). Multivariable logistic regression adjusted for age showed that all anthropometric indices were independently associated with the risk of MetS in both sexes, with generally stronger associations observed in men, particularly for waist circumference, neck circumference, WHtR, and BMI. Receiver operating characteristic (ROC) characteristic analysis demonstrated that waist circumference and WHtR were the most powerful predictors in both sexes, as reflected by high area under the curve values and large Youden indices, indicating their effective applicability in metabolic syndrome risk screening.


Conclusion: Anthropometric indices, especially waist circumference and waist-to-height ratio, are strongly associated with and have high predictive value for metabolic syndrome in both sexes. Neck circumference is a simple and feasible screening measure that may aid in the early identification of metabolic syndrome risk in clinical practice.

Article Details

Keywords

Waist circumference, neck circumference, WHtR, metabolic syndrome, anthropometric indices.

References

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