Green Collar Workers: The New Frontier

绿领工人：新领域

• 批准号: 8385733
• 负责人: David J Lee
• 金额: $ 7.65万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8385733
• 关键词: Green; Collar; Workers; New; Frontier

DESCRIPTION (provided by applicant): Green-collar occupations that preserve and enhance environmental quality now represent the new US workforce frontier. Population-based occupational health surveillance systems specifically for US green-collar workers have yet to be developed. Using descriptive and innovative advanced statistical methods such as Structural Equation Modeling (SEM), we propose to characterize the current US green-collar worker health status as well as study linkages between occupational exposures, health status, functional limitations with musculoskeletal disorders and injury risk. The use of both descriptive and advanced analytic techniques will afford a powerful, flexible and innovative approach through green-collar occupational health titles while controlling for specific workplace exposures and physical demands, permitting for the first time, a systematic examination of a variety of emerging and unanswered research questions including: 1) What are the sociodemographic characteristics of US green-collar workers?; 2) What is the health status and activity limitation o US green-collar workers as compared to blue-collar, service, white-collar and farm workers? 3) Are functional limitations reported by green-collar workers associated with differences in injury rates? 4) Do workplace physical demands influence green-collar worker physical activities?; and 5) Do green-collar workers experience a higher burden of musculoskeletal disorders, than their blue-collar worker counterparts? Data from this study will come from the National Health Interview Survey (NHIS) linked with the US Occupational Information Network (O*NET) System using key occupational identifiers collected in O*NET (e.g., Standard Occupational Classification (SOC) code, occupational title, physical work demands, job characteristics) via the National Center for Health Statistics (NCHS) Research Data Center (RDC). Comprehensive descriptive statistics of the sociodemographic characteristics, health behaviors, morbidity, and health conditions on over 202 O*NET identified green-collar occupations using data from the 2004+ NHIS will be documented. Descriptive statistics will be developed for the total group of green-collar workers, and stratified by gender and race/ethnicity when sample size permits. NORA sector-specific strata will be presented for the green-collar workers, as well as measures of injury, poisoning episodes and musculoskeletal disorders. Using SEM, we will examine the relationships between occupation and functional limitations among green-collar workers along with associations mediated by important health behaviors (e.g. workplace and leisure-time physical activity). Proposed study aims support key goals of the National Institute for Occupational Safety and Health surveillance priorities as well as numerous intermediate goals, including: 1) the development and strengthening the use of Federal level surveillance data to identify priorities, trends, and emerging issues; 2) the development of new activities to expand the scope of surveillance for priority conditions not covered by existing surveillance activities; and 3) facilitating the development of the next generation of occupational health researchers, particularly minority investigators. PUBLIC HEALTH RELEVANCE: Green-collar occupations represent the new U.S. workforce frontier in their job focus to preserve and enhance environmental quality. Population-based occupational health surveillance systems, specifically for US green collar workers have yet to be developed. Using descriptive and innovative advanced statistical techniques, this revised proposal will describe current US green-collar worker sociodemographic characteristics, health status, as well as study linkages between occupational exposures, health status, functional limitations with musculoskeletal disorders and injury risk. It will also categorize green jobs and work practices as a necessary first step in understanding how green jobs affect worker safety and health.

描述（由申请人提供）：保留和增强环境质量的绿领职业现在代表了美国新的劳动力边界。专门针对美国绿领工人的基于人群的职业健康监视系统尚未开发。使用描述性和创新的先进统计方法，例如结构方程建模（SEM），我们建议表征当前的美国绿领工作人员健康状况以及职业暴露，健康状况，肌肉骨骼疾病和伤害风险之间的联系之间的联系。使用绿领职业健康头衔，同时控制特定的工作场所暴露和身体需求，首次对各种新兴和未回答的研究问题进行系统的检查，同时使用绿领职业健康标题，可以通过绿领职业健康标题来提供强大，灵活和创新的方法，同时使用描述性和高级分析技术，对各种新兴和未提及的研究问题进行系统的检查，包括：1）包括：1）是什么是我们的社会学特征是什么？ 2）与蓝领，服务，白领和农场工人相比，美国绿领工人的健康状况和活动限制是什么？ 3）绿领工人报告的功能限制是否与受伤率差异有关？ 4）工作场所的身体需求会影响绿领工人的体育活动吗？ 5）绿领工人是否比其蓝领工人对肌肉骨骼疾病的负担更高？这项研究的数据将来自与美国职业信息网络（O*NET）系统相关联的国家健康访谈调查（NHIS），使用O*NET收集的关键职业标识符（例如，通过国家健康中心（NCHS）研究中心（NCHS）（NCHS）（NCHS）中心（NCHS）（例如，标准职业分类（SOC）代码，职业职位，物理工作要求，职业工作需求，工作特征）。使用2004+ NHIS的数据，将对社会人口统计学特征，健康行为，发病率和健康状况的全面描述性统计数据进行记录。描述性统计数据将为绿领工人组的总组开发，并在样本量允许时按性别和种族/民族进行分层。将为绿领工人提供NORA部门特异性的地层，以及损伤，中毒事件和肌肉骨骼疾病的措施。使用SEM，我们将研究绿领工人的职业与功能限制之间的关系，以及由重要的健康行为（例如工作场所和休闲时间体育锻炼）介导的关联。拟议的研究旨在支持美国国家职业安全和健康监视优先事项以及许多中间目标的关键目标，包括：1）开发和加强联邦一级监视数据以确定优先事项，趋势和新出现的问题； 2）开发新活动，以扩大现有监视活动不涵盖的优先条件的监视范围； 3）促进下一代职业卫生研究人员，特别是少数族裔研究人员的发展。 公共卫生相关性：绿领职业代表着新的美国劳动力边界，以保持和提高环境质量。尚未开发基于人群的职业健康监视系统，特别是针对美国绿领工人的。使用描述性和创新的先进统计技术，该修订的建议将描述当前的绿领工人社会人口统计学特征，健康状况以及职业暴露，健康状况，肌肉骨骼疾病和伤害风险之间的联系之间的联系。它还将将绿色工作和工作实践归类为了解绿色工作如何影响工人安全和健康的必要第一步。