Sleep Health Profiles in Middle-aged Workers in Relation to Cardiovascular and Cognitive Health

中年工人睡眠健康状况与心血管和认知健康的关系

• 批准号: 10248728
• 负责人: Soomi Lee
• 金额: $ 41.23万
• 依托单位: UNIVERSITY OF SOUTH FLORIDA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10248728
• 关键词: Adult; Age; Aging; Behavioral; Biometry; Cardiovascular Diagnostic Techniques; Cardiovascular Diseases; Cardiovascular system; Characteristics; Cognitive; Conflict (Psychology); Data; Data Set; Development; Dimensions; Economic Recession; Episodic memory; Event; Exhibits; Exposure to; Family; Family health status; Future; Health; Impaired cognition; Individual; Intervention; Lead; Link; Longitudinal Studies; Machine Learning; Measures; Mediating; Methods; Mission; Occupational Health; Outcome; Patient Self-Report; Physicians; Population; Productivity; Public Health; Race; Reproducibility; Research; Risk; Risk Factors; Sampling; Sampling Studies; Screening procedure; Sleep; Sleep Disorders; Sleep disturbances; Sleeplessness; Stress; Symptoms; Testing; Time; United States; United States National Institutes of Health; Work; actigraphy; alertness; base; cardiovascular health; cognitive function; cohort; data harmonization; executive function; group intervention; health disparity; healthy aging; high risk; improved; middle age; satisfaction; sex; sleep health; sleep quality; sleep-focused interventions; stressor

Middle-aged workers are vulnerable to having poor sleep, which is a public concern as it may lead to decreased productivity at work and increased risks of health problems over time. Most studies have associated one aspect of sleep (often focusing on sleep duration) with work or health-related variables, lacking a comprehensive understanding of how the combinations of multiple dimensions of sleep within individuals are associated with work-related stress and health outcomes. For example, a combination of sufficient sleep duration, regular sleep/wake, efficient sleep, and no insomnia symptom may be more predictive of concurrent and later cardiovascular and cognitive health than sleep duration alone. We propose to use multidimensional sleep health profiles that measure “which” and “how many” sleep problems co-occur within individuals. Harmonizing two independent project data sets from the Midlife in the United States Study (MIDUS) and Work, Family & Health Study (WFHS), the proposed study aims at examining the relationships between work-to-nonwork conflict (work stress carried over to and interfering with family and personal activities including sleep), sleep health profiles, and cardiovascular and cognitive health. Aim 1 will identify sleep health profiles in middle-aged workers and examine the associations of work-to-nonwork conflict with the sleep health profiles. Using extensive measures of self- reported and actigraphy-measured sleep, we will identify a priori-defined and empirically-derived sleep health profiles in diverse forms and will evaluate reproducibility of sleep health profiles across MIDUS and WFHS samples. Aim 2 will examine the associations of the sleep health profiles with cardiovascular health outcomes. Taking advantage of two cohorts in MIDUS that were sampled before and after the U.S. Great Recession period (2007-2009), we will also examine the health impacts of a macro- level stressor, whether those who were exposed to the economic recession exhibit a stronger link between sleep health profiles and cardiovascular outcomes than a propensity-matched sample who were not exposed to the recession but otherwise equal on all observables. Aim 3 will further examine the associations of the sleep health profiles with cognitive outcomes, leveraging MIDUS longitudinal cognitive data that include objectively measured episodic memory and executive functioning. We will also explore (1) whether sleep health profiles mediate the relationships between work-related stress (work-to-nonwork conflict) and cardiovascular and cognitive health, (2) potential moderation by sex and race, and (3) daily characteristics that predict optimal sleep health nights (using machine-learning). The proposed sleep health profiles can be broadly used to improve prediction accuracy in health screening tools. Focusing on middle-aged workers will contribute to decreasing health disparities in the workforce and promoting work productivity and healthy aging. Findings will inform the development of sleep-focused interventions to improve sleep and health among middle-aged workers who are in greater need.

中年工人容易睡眠不佳，这是公众关注的问题，因为这可能会导致睡眠质量下降 随着时间的推移，工作效率和健康问题的风险会增加。大多数研究都与一个方面有关 睡眠(通常关注睡眠时长)与工作或健康相关的变量，缺乏全面的 了解个体内睡眠的多个维度的组合如何与 与工作相关的压力和健康结果。例如，组合充足的睡眠时间，规律 睡眠/清醒、高效睡眠和无失眠症状可能更能预测并发和延迟 心血管和认知健康，而不是仅仅睡眠时间。我们建议使用多维睡眠 衡量“哪些”和“多少”睡眠问题在个体内共同发生的健康概况。协调 来自美国中年研究(MIDUS)和工作、家庭和工作的两个独立项目数据集 健康研究(WFHS)，建议的研究旨在检查工作与非工作之间的关系 冲突(工作压力影响并干扰家庭和个人活动，包括睡眠)、睡眠 健康概况，以及心血管和认知健康。目标1将确定中年人的睡眠健康状况 并检查工作与非工作冲突与睡眠健康状况之间的关联。vbl.使用 广泛测量自我报告和活动测量的睡眠，我们将确定一个先验定义的和 各种形式的经验性睡眠健康概况，并将评估睡眠健康的重复性 MIDUS和WFHS样本的配置文件。目标2将研究睡眠健康档案之间的关联 与心血管健康状况有关。利用之前在MIDUS中抽样的两个队列 在美国大衰退时期(2007-2009)之后，我们还将研究宏观经济衰退对健康的影响- 水平压力源，那些暴露在经济衰退中的人是否表现出更强的联系 睡眠健康状况和心血管结果比没有暴露的倾向匹配的样本 对经济衰退的影响，但在其他方面对所有可观察到的数据都是平等的。目标3将进一步研究 睡眠健康概况与认知结果，利用MIDUS纵向认知数据，包括 客观测量情节记忆和执行功能。我们还将探讨(1)睡眠健康 个人资料在工作相关压力(工作与非工作之间的冲突)与心血管之间的关系中起中介作用 和认知健康，(2)性别和种族的潜在缓和，以及(3)预测最佳的日常特征 睡眠健康之夜(使用机器学习)。建议的睡眠健康概况可广泛用于 提高健康筛查工具的预测准确性。将重点放在中年工人身上将有助于 缩小劳动力的健康差距，促进工作效率和健康老龄化。调查结果将 通知制定以睡眠为重点的干预措施，以改善中年人的睡眠和健康 更需要帮助的工人。