Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study
Abstract BackgroundOccupational noise–induced deafness (ONID) has replaced occupational poisoning as the second most common occupational disease in China since 2015. However, there is a limited number of articles on epidemiological characteristics of legally diagnosed ONID....
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JMIR Publications
2024-11-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2024/1/e57851 |
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| author | Shanyu Zhou Yongshun Huang Lin Chen Xianzhong Wen Shu Wang Lang Huang Xudong Li |
| author_facet | Shanyu Zhou Yongshun Huang Lin Chen Xianzhong Wen Shu Wang Lang Huang Xudong Li |
| author_sort | Shanyu Zhou |
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Abstract
BackgroundOccupational noise–induced deafness (ONID) has replaced occupational poisoning as the second most common occupational disease in China since 2015. However, there is a limited number of articles on epidemiological characteristics of legally diagnosed ONID.
ObjectiveWe conducted a comprehensive analysis of the epidemiological and spatiotemporal characteristics of ONID in Guangdong Province from 2006 to 2022, with the aim of providing a scientific foundation for policy formulation and health resource allocation.
MethodsSurveillance data of ONID cases in Guangdong Province from 2006 to 2022 were obtained from the “Occupational Diseases and Health Hazard Factors Monitoring Information System.” Joinpoint regression analysis was applied to assess the long-term trends in cases of ONID from 2006 to 2022. Global spatial autocorrelation analysis was performed to measure the overall degree of similarity of the attribute values of spatially adjacent or neighboring regional units. The local indicators of spatial autocorrelation (LISA) plots were then used to identify the local clusters of ONID in Guangdong.
ResultsThere were 3761 ONID cases in Guangdong Province from 2006 to 2022, showing a significantly increased trend in cases across the entire study period (average annual percentage change 21.9, 95% CI 18.7-35.1). The Moran’s I values for the period of 2006 to 2022 ranged from 0.202 to 0.649 (all P
ConclusionsSignificant spatiotemporal patterns of ONID in Guangdong Province from 2006 to 2022 were identified, characterized by a dramatic increase followed by stabilization in case numbers. ONID predominantly occur in manufacturing industries, domestically funded enterprises, among males, individuals aged 40‐49 years, and those with 5+ years of occupational noise exposure. Spatial analysis demonstrated significant clustering in the Pearl River Delta region, with consistent positive spatial autocorrelation across years. These results could help prioritize the allocation of resources for targeted prevention and control measures for ONID. |
| format | Article |
| id | doaj-art-e4dea70af0294dab86533b3f5e1edf3d |
| institution | Kabale University |
| issn | 2369-2960 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | JMIR Publications |
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| series | JMIR Public Health and Surveillance |
| spelling | doaj-art-e4dea70af0294dab86533b3f5e1edf3d2024-12-06T17:46:12ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-11-0110e57851e5785110.2196/57851Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance StudyShanyu Zhouhttp://orcid.org/0009-0008-9102-1996Yongshun Huanghttp://orcid.org/0000-0002-1065-8653Lin Chenhttp://orcid.org/0009-0006-7566-4807Xianzhong Wenhttp://orcid.org/0000-0003-1426-5678Shu Wanghttp://orcid.org/0000-0001-7379-7354Lang Huanghttp://orcid.org/0009-0000-2735-4982Xudong Lihttp://orcid.org/0009-0008-8403-7359 Abstract BackgroundOccupational noise–induced deafness (ONID) has replaced occupational poisoning as the second most common occupational disease in China since 2015. However, there is a limited number of articles on epidemiological characteristics of legally diagnosed ONID. ObjectiveWe conducted a comprehensive analysis of the epidemiological and spatiotemporal characteristics of ONID in Guangdong Province from 2006 to 2022, with the aim of providing a scientific foundation for policy formulation and health resource allocation. MethodsSurveillance data of ONID cases in Guangdong Province from 2006 to 2022 were obtained from the “Occupational Diseases and Health Hazard Factors Monitoring Information System.” Joinpoint regression analysis was applied to assess the long-term trends in cases of ONID from 2006 to 2022. Global spatial autocorrelation analysis was performed to measure the overall degree of similarity of the attribute values of spatially adjacent or neighboring regional units. The local indicators of spatial autocorrelation (LISA) plots were then used to identify the local clusters of ONID in Guangdong. ResultsThere were 3761 ONID cases in Guangdong Province from 2006 to 2022, showing a significantly increased trend in cases across the entire study period (average annual percentage change 21.9, 95% CI 18.7-35.1). The Moran’s I values for the period of 2006 to 2022 ranged from 0.202 to 0.649 (all P ConclusionsSignificant spatiotemporal patterns of ONID in Guangdong Province from 2006 to 2022 were identified, characterized by a dramatic increase followed by stabilization in case numbers. ONID predominantly occur in manufacturing industries, domestically funded enterprises, among males, individuals aged 40‐49 years, and those with 5+ years of occupational noise exposure. Spatial analysis demonstrated significant clustering in the Pearl River Delta region, with consistent positive spatial autocorrelation across years. These results could help prioritize the allocation of resources for targeted prevention and control measures for ONID.https://publichealth.jmir.org/2024/1/e57851 |
| spellingShingle | Shanyu Zhou Yongshun Huang Lin Chen Xianzhong Wen Shu Wang Lang Huang Xudong Li Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study JMIR Public Health and Surveillance |
| title | Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study |
| title_full | Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study |
| title_fullStr | Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study |
| title_full_unstemmed | Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study |
| title_short | Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise–Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study |
| title_sort | epidemiological characteristics and spatiotemporal analysis of occupational noise induced deafness from 2006 to 2022 in guangdong china surveillance study |
| url | https://publichealth.jmir.org/2024/1/e57851 |
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