Biopsychosocial determinants of sleep and wellbeing for teens in Fragile Families

脆弱家庭青少年睡眠和健康的生物心理社会决定因素

• 批准号: 8845987
• 负责人: Lauren Hale
• 金额: $ 65.12万
• 依托单位: STATE UNIVERSITY NEW YORK STONY BROOK
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-09 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8845987
• 关键词: Address; Adolescence; Adolescent; Adult; Age; Ancillary Study; Behavior; Biological; Birth; Candidate Disease Gene; Characteristics; Child; Child Development; Childhood; Circadian Rhythms; Cognitive; Cohort Studies; Communities; Data; Data Collection; Development; Disease; Economics; Family; Family Study; Funding; Genetic; Genetic Determinism; Genotype; Health; Hip region structure; Interdisciplinary Study; Intervention; Interview; Investigation; Life; Link; Measures; Mediating; Mental Depression; Mothers; Multimedia; Neighborhoods; Obesity; Outcome; Parents; Participant; Patient Self-Report; Pattern; Physical activity; Physical environment; Polysomnography; Public Health; Relative (related person); Reporting; Research; Resources; Risk; Risk Factors; Role; Running; Saliva; Sampling; Schedule; Schools; Sleep; Socioeconomic Status; Source; Surveys; Technology; Teenagers; Time; United States National Institutes of Health; Variant; Work; Wrist; Youth; actigraphy; base; biopsychosocial; cohort; depressive symptoms; diaries; disorder risk; family genetics; genetic analysis; genetic variant; improved; innovation; low socioeconomic status; novel strategies; population based; psychologic; psychological outcomes; psychosocial; public health relevance; social; social disparities; socioeconomic disadvantage; tv watching

DESCRIPTION (provided by applicant): Socioeconomic disadvantage is associated with psychosocial and physical environments that reduce sleep duration and sleep quality. The cumulative effects of these differences in sleep may contribute to social disparities in critical developmental trajectories for children and adolescents. The proposed research will investigate the biopsychosocial determinants of adolescent sleep, and the extent to which differential sleep trajectories during childhood contribute to differences in obesity and depression using the Fragile Families Study (FFS). As an ancillary study to the FFS age 15 wave, this application provides a rare opportunity to study sleep patterns in a well-characterized national cohort of primarily at-risk adolescents followed since birth. In Aim 1, we seek to estimate the long-term associations of early sleep-related behaviors with adolescent sleep. We hypothesize that the regular use of age-appropriate bedtimes with consistent bedtime routines during childhood is associated with adequate sleep duration for developmental age and better sleep quality among adolescents. In Aim 2, we will identify the relative importance of a range of biopsychosocial determinants of adolescent sleep, including school, community, family, and genetic factors. While sleep and circadian gene variants have shown associations with sleep patterns in adults, no research to date has investigated the genetics of adolescent sleep. In Aim 3, we estimate how trajectories of insufficient and low-quality sleep predict biological and psychological outcomes in adolescence. We hypothesize that children with shorter sleep duration and lower quality sleep are more likely to obese and report depression/depressive symptoms. Aim 4 investigates the direct and indirect effects of physical activity and screen time exposure on adolescent sleep, obesity, and depression. To achieve these aims, first we will add sleep-related questions to the multidimensional interview of the entire FFS adolescent sample (n~3,600). These questions address sleep duration, sleep timing, sleep quality, bedtime behaviors (e.g., technology at bedtime), and school start times. Second, we will collect one week of wrist and hip actigraphic data on 1,000 adolescent participants in order to directly monitor sleep timing, duration, and quality in addition to physical activity. During this same week, participants will provide a one-week multimedia exposure diary. Third, we will genotype the previously collected saliva samples (n~2800) for sleep and circadian candidate genes. These sources of additional sleep, physical activity, and screen time exposure information will be merged with the rich data collection efforts from FFS, which will be one of the longest-running population-based studies of health and development of children born in the US. This application will integrate multidisciplinary research into the most thorough actigraphy-based investigation to date of the social and ecological determinants of child and adolescent sleep patterns and further a novel approach for understanding social disparities in health.

描述（由申请人提供）：社会经济劣势与降低睡眠持续时间和睡眠质量的社会心理和身体环境有关。这些差异在睡眠中的累积影响可能导致儿童和青少年关键发展轨迹的社会差异。拟议的研究将研究青少年睡眠的生物心理社会决定因素，以及使用脆弱的家族研究（FFS）在儿童期期间的差异睡眠轨迹在儿童期间导致肥胖和抑郁的差异的程度。作为对FFS 15岁浪潮的辅助研究，该应用程序提供了一个难得的机会，可以在出生以来主要是危险的青少年的良好表征的全国人群中研究睡眠模式。在AIM 1中，我们试图估计与青春期睡眠的早期睡眠相关行为的长期关联。我们假设，在儿童时期，定期使用适合年龄的住宿时间，与足够的睡眠时间有关，与青少年的睡眠持续时间相关。在AIM 2中，我们将确定一系列青少年睡眠的生物心理社会决定因素的相对重要性，包括学校，社区，家庭和遗传因素。虽然睡眠和昼夜节律变体已经显示出与成人睡眠模式的关联，但迄今为止，尚无研究研究青少年睡眠的遗传学。在AIM 3中，我们估算了不足和低质量睡眠的轨迹如何预测青春期的生物学和心理结局。我们假设睡眠时间较短，睡眠质量较低的儿童更有可能肥胖，并报告抑郁症/抑郁症状。 AIM 4研究了体育活动和筛查时间暴露对青少年睡眠，肥胖和抑郁的直接和间接影响。为了实现这些目标，首先，我们将在整个FFS青少年样本的多维访谈中添加与睡眠有关的问题（n〜3,600）。这些问题涉及睡眠持续时间，睡眠时间，睡眠质量，就寝时间行为（例如，就寝时间的技术）和学校起步时间。其次，我们还将收集1,000名青少年参与者的一周的手腕和髋关节行为数据，以直接监测睡眠时间，持续时间和质量，而除了体育锻炼之外。在同一周，参与者将提供一周的多媒体曝光日记。第三，我们将基因于先前收集的唾液样品（N〜2800）用于睡眠和昼夜节律候选基因。这些额外的睡眠，体育活动和屏幕时间暴露信息的来源将与FFS的丰富数据收集工作合并，这将是美国出生的儿童的基于人群的健康和发展最长的研究之一。该应用程序将将多学科研究纳入最彻底的基于艺术学的调查，以截至儿童和青少年睡眠模式的社会和生态决定因素，并进一步了解健康中社会差异的新方法。