Analyzing the current status and positive detection rates of chronic disease-related indicators in occupational medical examinations
10.20001/j.issn.2095-2619.20260409
- VernacularTitle:职业健康检查中慢性病相关指标开展现状与阳性率分析
- Author:
Tengxiao SHAN
1
;
Jiming ZHANG
;
Tianyang SHEN
;
Zhijun ZHOU
Author Information
1. School of Public Health, Fudan University, Key Laboratory of Health Assessment, National Health Commission, Shanghai 200032, China
- Publication Type:Journal Article
- Keywords:
Occupational medical examination;
Chronic disease;
Blood pressure;
Body height;
Body weight;
Blood glucose;
Blood lipids;
Uric acid
- From:
China Occupational Medicine
2026;53(2):174-180
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the coverage of chronic disease-related indicators and the distribution of positive detection rates in occupational medical examinations (OME). Methods A total of 872 862 currently employed workers who underwent OME from 2015 to 2023 were selected as the study participants using a convenience sampling method. According to the year of OME, the study period was divided into three periods: 2015-2017, 2018-2020, and 2021-2023. The examination rates and positive detection rates of five chronic disease-related indicators, including obesity, high blood pressure, hyperglycemia, dyslipidemia, and hyperuricemia, were analyzed. Results Regarding the routine medical examination indicators in OME, the examination rates for systolic and diastolic blood pressure were both 97.4%, while those for body height and weight were both 6.8%. Among the mandatory or optional examination items for specific occupational groups in OMEs, the examination rates of fasting blood glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were 35.2%, 18.5%, 18.5%, 7.8%, and 7.9%, respectively. Regarding items not included in OMEs, the examination rates of glycated hemoglobin and uric acid were 0.2% and 19.2%, respectively. The examination rates for systolic and diastolic blood pressure consistently exceeded 95.0%, the examination rates for fasting blood glucose, triglycerides, and uric acid ranged from 32.9% to 37.0%, 16.8% to 21.4%, and 16.9% to 24.1%, respectively, while the rates for body height and weight remained below 10.0% across these three periods. Among workers who completed corresponding OME items, dyslipidemia and hyperuricemia showed relatively higher positive detection rates, with rates of 23.2% and 23.0%, respectively. The positive detection rates of obesity, high blood pressure, and hyperglycemia were relatively lower, at 9.6%, 3.5%, and 1.4%, respectively. Across the three periods, the positive detection rates of dyslipidemia, hyperuricemia, obesity, high blood pressure, and hyperglycemia ranged from 18.0% to 33.7%, 7.0% to 28.5%, 7.8% to 10.9%, 3.3% to 3.9%, and 1.4% to 1.5%, respectively, all showing increasing trends with advancing OME periods (all P<0.01). Conclusion Current OME practices show a mismatch between the coverage of chronic disease-related indicators and the actual health risks among occupational worker populations. Although blood pressure monitoring is well implemented, basic physical indicators (body height and body weight) and key metabolic indicators (blood glucose, blood lipids, and uric acid) are insufficiently covered, limiting comprehensive assessment of occupational health risks. Optimization of monitoring strategies is urgently needed to improve data completeness.
