Trend analysis of newly emerging occupational diseases in Quanzhou City from 2008 to 2023 based on Joinpoint regression model

Abstract

Abstract: Objective To analyze the characteristics and changing trend of newly emerging occupational diseases in Quanzhou City from 2008 to 2023,provide scientific basis for the prevention and control of occupational diseases. Methods The data related to newly emerging occupational diseases in Quanzhou City from 2008 to 2023 were collected from "Occupational disease and health hazard monitoring information system of Chinese center for disease control and prevention". SPSS 22.0 was used for analysis,and Joinpoint regression model was used to analyze the change trend of various occupational diseases,to calculate annual percent change（APC） and average annual percent change（AAPC）. Results From 2008 to 2023,the newly emerging occupational diseases in Quanzhou City were mainly pneumoconiosis（accounting for 85.71%）. The onset age of newly emerging occupational diseases in Quanzhou City was mainly 40-<60 years old,and the working age of exposure to hazards was mainly 5-<20 years. From 2008 to 2023,the reported incidence rate of newly emerging occupational diseases in Quanzhou City increased from 0.27/100 000 to 0.90/100 000,showing an upward trend（AAPC=6.88%,95%CI：3.33%-14.24%,P<0.01）,the overall trend was determined by the dominant pneumoconiosis. The overall standardized reported incidence rate of pneumoconiosis from 2008 to 2023 showed an upward trend（AAPC=7.34%,95%CI：3.80%-15.19%,P<0.01）. The occupational diseases caused by physical factors showed an overall upward trend（APC=AAPC=143.92%,95% CI：81.53%-269.21%,P<0.01）. Conclusion The pneumoconiosis is still the main occupational disease in Quanzhou City,and the increasing trend of occupational heat stroke in recent years should not be ignored. It is necessary to formulate corresponding management measures based on the characteristics and distribution of occupational hazards,and strengthen the prevention and control of occupational diseases in key industries and populations.

Key words: Occupational diseases, Disease characteristics, Joinpoint regression model, Incidence trend

CLC Number:

R181.3⁺1

TANG Xueping, XU Juan'e, TU Menghan, LIU Yuehong. Trend analysis of newly emerging occupational diseases in Quanzhou City from 2008 to 2023 based on Joinpoint regression model. [J]OCCUPATION AND HEALTH, 2025, 41(16): 2176-2180.

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