Amal Harrati, P. Hepburn, Valerie Meausonne, M. Cullen
{"title":"表征工作和伤残休假的长期轨迹:职业暴露、健康和个人人口统计学的作用。","authors":"Amal Harrati, P. Hepburn, Valerie Meausonne, M. Cullen","doi":"10.1097/JOM.0000000000001705","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\nThis paper characterizes trajectories of work and disability leave across the tenure of a cohort of 49,595 employees in a large American manufacturing firm.\n\n\nMETHODS\nWe employ sequence and cluster analysis to group workers who share similar trajectories of work and disability leave. We then use multinomial logistic regression models to describe the demographic, health, and job-specific correlates of these trajectories.\n\n\nRESULTS\nAll workers were clustered into one of eight trajectories. Female workers (RR 1.3 - 2.1), those experiencing musculoskeletal disease (RR 1.3 - 1.5), and those whose jobs entailed exposure to high levels of air pollution (Total Particulate Matter; RR 1.9 - 2.4) were more likely to experience at least one disability episode.\n\n\nCONCLUSIONS\nThese trajectories and their correlates provide insight into disability processes and their relationship to demographic characteristics, health, and working conditions of employees.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Characterizing Long-Term Trajectories of Work and Disability Leave: The Role of Occupational Exposures, Health, and Personal Demographics.\",\"authors\":\"Amal Harrati, P. Hepburn, Valerie Meausonne, M. Cullen\",\"doi\":\"10.1097/JOM.0000000000001705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\nThis paper characterizes trajectories of work and disability leave across the tenure of a cohort of 49,595 employees in a large American manufacturing firm.\\n\\n\\nMETHODS\\nWe employ sequence and cluster analysis to group workers who share similar trajectories of work and disability leave. We then use multinomial logistic regression models to describe the demographic, health, and job-specific correlates of these trajectories.\\n\\n\\nRESULTS\\nAll workers were clustered into one of eight trajectories. Female workers (RR 1.3 - 2.1), those experiencing musculoskeletal disease (RR 1.3 - 1.5), and those whose jobs entailed exposure to high levels of air pollution (Total Particulate Matter; RR 1.9 - 2.4) were more likely to experience at least one disability episode.\\n\\n\\nCONCLUSIONS\\nThese trajectories and their correlates provide insight into disability processes and their relationship to demographic characteristics, health, and working conditions of employees.\",\"PeriodicalId\":46545,\"journal\":{\"name\":\"International Journal of Occupational and Environmental Medicine\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Occupational and Environmental Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/JOM.0000000000001705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Occupational and Environmental Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JOM.0000000000001705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Characterizing Long-Term Trajectories of Work and Disability Leave: The Role of Occupational Exposures, Health, and Personal Demographics.
OBJECTIVE
This paper characterizes trajectories of work and disability leave across the tenure of a cohort of 49,595 employees in a large American manufacturing firm.
METHODS
We employ sequence and cluster analysis to group workers who share similar trajectories of work and disability leave. We then use multinomial logistic regression models to describe the demographic, health, and job-specific correlates of these trajectories.
RESULTS
All workers were clustered into one of eight trajectories. Female workers (RR 1.3 - 2.1), those experiencing musculoskeletal disease (RR 1.3 - 1.5), and those whose jobs entailed exposure to high levels of air pollution (Total Particulate Matter; RR 1.9 - 2.4) were more likely to experience at least one disability episode.
CONCLUSIONS
These trajectories and their correlates provide insight into disability processes and their relationship to demographic characteristics, health, and working conditions of employees.