Analysis of surveillance results of key occupational diseases in Nanning City, 2015-2019
10.11763/j.issn.2095-2619.2021.03.021
- Author:
Na LUO
1
;
Cheng-yuan LEI
1
;
Bi-ling JIANG
1
;
Rong-zheng HUANG
1
;
Chun-ling WAN
1
;
Ting CHEN
Author Information
1. Nanning Center for Disease Control and Prevention Nanning, Guangxi 530023, China
- Publication Type:Journal Article
- Keywords:
Occupational disease;
Occupational disease hazard factor;
Occupational health monitoring;
Distribution characteristic;
Dust;
Noise;
Lead;
Benzene
- From:
China Occupational Medicine
2021;48(03):351-355
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To analyze the distribution characteristics of surveillance results of key occupational diseases in Nanning City.METHODS: The occupational health monitoring data of key occupational diseases of Nanning City from 2015 to 2019 were collected using judgment sampling method and analyzed by descriptive epidemiology method. RESULTS: A total of 38 cases of key occupational diseases were reported in Nanning City during the past 5 years.The main diseases were occupational pneumoconiosis and occupational noise-induced deafness(ONID). The rate of occupational health examination was 40.06%, showing an increasing trend with the increase of years(P<0.01). The detection rate of occupational pneumoconiosis was higher than that of ONID(0.19% vs 0.01%, P<0.01). However, the abnormal detection rate of occupational health special examination in noise-exposed workers was higher than that in dust-exposed workers(10.98% vs 0.35%, P<0.01). The detection rate of pneumoconiosis-like changes in dust-exposed workers was the highest in private enterprises(P<0.01). The detection rate of binaural high frequency average hearing threshold ≥40 dB was highest in small and micro enterprises and private enterprises(all P<0.01). The detection rate of blood lead level >400 μg/L was 24.75%, and 98.80% of the abnormal workers were concentrated in medium-sized foreign-funded enterprises. The detection rates of abnormal leukocyte, neutrophil and platelet counts in benzene-exposed workers were 1.17%, 3.21% and 0.26% respectively. CONCLUSION: Among the key occupational disease risk factors in Nanning City, the number of workers exposed to dust and noise is relatively high, which results in serious consequences and harm. But the hazards of lead and benzene cannot be ignored. Emphasis should be placed on strengthening the supervision and management of key occupational diseases in small and medium-sized micro-enterprises and private enterprises.
