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Employment Precarity and Adverse Behavioral Health Outcomes in the NLSY79 and 97 Cohorts

Employment Precarity and Adverse Behavioral Health Outcomes in the NLSY79 and 97 Cohorts
NLSY79 和 97 队列中的就业不稳定和不良行为健康结果
批准号:
10521822
负责人:
Tessa Bonney
金额:
$10.8万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-30 至 2026-09-29

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中文摘要
翻译
跨行业和跨人口群体的就业安排变得越来越不稳定, 近几十年这种转变导致越来越多的劳动力面临风险, 与就业不安全和低于标准有关的脆弱性。我们迫切需要了解 就业不稳定性在增加个人不良行为健康结果风险中的作用, 这在工作年龄的成年人中特别普遍,并导致美国生产力的相当大的损失 工作场所。为了解决这一关键问题,需要对现有纵向数据进行稳健分析, 就业不稳定性个人经历及其关系的综合测量 行为健康是必要的。现有的研究很少,特别是在美国, 就业不稳定性全面和纵向,迄今为止,没有这样的研究已经探讨了 个人就业轨迹的不稳定性与其行为健康之间的关系。现有 对就业不稳定性的研究也未能说明就业中断和就业机会变化的原因。 尽管失业对不良行为健康结果有已知的影响,鉴于 这些差距在现有的研究,拟议的研究将采用数据从两个国家纵向调查, 青年(NLSY)组群(1979年和1997年),以确定就业不稳定性和就业可变性的衡量标准 并描述其纵向轨迹(目标1)和模型之间的就业不稳定性 和物质使用,行为健康的两个指标(目标2和3)。NLSY 79的广泛性 和97个数据集将允许描述就业不稳定轨迹和累积 就业可变性,有可能阐明影响不稳定就业率的关键风险因素, 工作这种追求,加上拟议的测试,是否轨迹的就业不稳定和 在这两个纵向数据集中,变异性与不良行为健康相关, 2020年诺拉健康工作设计和福祉报告中强调的差距,可以为机会提供信息 针对生活中工作、心理困扰和药物滥用的交叉点进行干预 当然了这项研究提供了一个很好的机会,指导培训和职业发展的重点是 扩展和完善追求拟议的研究目标所需的技能和知识, 职业目标。我提出的职业发展计划将1)建立我对行为健康的理解 结果和机制与就业,2)扩大我的知识,先进的调查 方法,3)发展我在统计概念方面的能力,以进行调查数据的纵向分析,以及4) 加强我在统计计算方面的实际技能,以分析纵向调查数据。这些 活动,结合拟议的研究战略,将促进我作为一个独立的发展, 研究人员准备在外部资金方面具有高度竞争力,并对该领域产生重大影响。
英文摘要
Employment arrangements across industries and demographic groups have become increasingly precarious in recent decades. This shift has resulted in a growing proportion of the workforce that is exposed to risks and vulnerabilities associated with insecure and substandard employment. There is an urgent need to understand the role of employment precarity in increasing an individual's risk of adverse behavioral health outcomes, which are particularly prevalent among working-age adults and result in considerable loss of productivity in US workplaces. To address this critical issue, robust analyses of existing longitudinal data which allow for comprehensive measurement of individuals' experiences with employment precarity and their relationships with behavioral health are needed. Few existing studies, especially in the US, have sought to measure employment precarity comprehensively and longitudinally and, to date, no such studies have explored the relationships between the precarity of individuals' employment trajectories and their behavioral health. Existing studies of employment precarity have also failed to account for interruptions in employment and changes in jobs over time, despite the known impact of unemployment on adverse behavioral health outcomes. In light of these gaps in existing research, the proposed study will employ data from two National Longitudinal Survey of Youth (NLSY) cohorts (1979 & 1997) to define measures of employment precarity and employment variability and characterize their longitudinal trajectories (Aim 1) and model associations between employment precarity and substance use, two indicators of behavioral health (Aims 2 and 3). The extensive nature of the NLSY79 and 97 datasets will allow for characterization of disparities in employment precarity trajectories and cumulative employment variability, with the potential to elucidate key risk factors affecting the prevalence of precarious work. This pursuit, coupled with the proposed test of whether trajectories of employment precarity and variability are associated with adverse behavioral health in these two longitudinal datasets, addresses research gaps highlighted in the 2020 NORA Healthy Work Design and Well-Being report and can inform opportunities for intervention addressing intersections of work, psychological distress, and substance misuse across the life course. This study provides an excellent opportunity for mentored training and career development focused on the expansion and refinement of skills and knowledge necessary to purse the proposed research aims and career goals. My proposed career development plan will 1) build my understanding of behavioral health outcomes and mechanisms associated with employment, 2) expand my knowledge of advanced survey methodology, 3) develop my competency in statistical concepts for longitudinal analysis of survey data, and 4) strengthen my practical skills in statistical computing for the analysis of longitudinal survey data. These activities, in conjunction with the proposed research strategy, will facilitate my development as an independent researcher poised to be highly competitive for external funding and to significantly impact the field.
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