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
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
中文摘要
跨行业和人口群体的就业安排在#年变得越来越不稳定
近几十年来。这一转变导致越来越多的劳动力面临风险和
与不安全和不合格的就业相关的脆弱性。我们迫切需要了解
就业早熟在增加个人不良行为健康后果风险方面的作用,
这在劳动年龄的成年人中尤其普遍,并导致美国相当大的生产力损失
工作场所。为了解决这一关键问题,对现有纵向数据的稳健分析允许
个体就业早熟经历及其关系的综合测量
行为健康是必要的。几乎没有现有的研究,特别是在美国,试图衡量
就业早熟是全面的和纵向的,到目前为止,还没有这样的研究探索
个人就业轨迹的早产性与其行为健康之间的关系。现有
对就业早熟的研究也未能考虑到就业中断和就业变化
工作随着时间的推移,尽管失业对不良行为健康结果的影响是已知的。根据……
在现有研究中的这些差距,拟议的研究将使用来自两个国家纵向调查的数据
青年(NLSY)队列(1979和1997),以确定就业早熟和就业可变性的衡量标准
并描述了它们的纵向轨迹(目标1)和就业早熟之间的模型关联
和物质使用,行为健康的两个指标(目标2和3)。NLSY79的广泛性
和97个数据集将允许表征就业早产轨迹和累积的差异
就业可变性,有可能阐明影响不稳定流行的关键风险因素
工作。这一追求,再加上拟议的测试,即就业早熟和失业的轨迹
研究表明,在这两个纵向数据集中,变异性与不良行为健康有关
在2020年Nora健康工作设计和福祉报告中强调的差距,并可以提供机会
用于解决生活中工作、心理困扰和物质滥用的交叉问题的干预
当然了。这项研究为专注于以下方面的指导培训和职业发展提供了极好的机会
扩展和完善必要的技能和知识,以追求拟议的研究目标和
职业目标。我提出的职业发展计划将加深我对行为健康的理解
与就业相关的结果和机制,2)扩大我对高级调查的知识
方法,3)培养我在统计概念方面的能力,对调查数据进行纵向分析,以及4)
加强我在纵向调查数据分析统计计算方面的实用技能。这些
与拟议的研究战略相结合的活动将促进我作为一个独立的
研究人员准备在外部资金方面具有很强的竞争力,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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