Boston Early Adversity and Mortality Study (BEAMS): Linking administrative data to long-term longitudinal studies

波士顿早期逆境和死亡率研究 (BEAMS)：将行政数据与长期纵向研究联系起来

基本信息

批准号：
10213519
负责人：
Lewina Onyi Lee
金额：
$ 21.78万
依托单位：
NORTHWESTERN UNIVERSITY AT CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-01 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10213519
关键词：
Address Adolescent Adult Affect Age Aging Air Area Birth Birth Records Birth Weight Boston Cardiovascular Diseases Censuses Cessation of life Characteristics Child Childhood Chronic Disease Cognitive Data Data Analytics Data Set Data Sources Databases Dementia Dimensions Disabled Persons Disease Elderly Environment Environmental Hazards Exposure to Family Grant Health Hospitals Individual Intervention Knowledge Lead Life Link Location Longevity Longitudinal Studies Mediating Mediator of activation protein Methods Military Personnel Modeling Modification Morbidity - disease rate Municipalities Neighborhoods Non-Insulin-Dependent Diabetes Mellitus Onset of illness Outcome Participant Pathway interactions Personality Traits Persons Policies Poverty Premature Mortality Process Public Health Records Research Design Resources Running Sampling Science Siblings Social support Socioeconomic Status Testing Vital Statistics Water Woman Work adverse childhood events age related arm base cardiometabolic risk cardiometabolism childhood adversity cognitive reserve cohort dementia risk deprivation design digital diverse data early life adversity high risk inner city innovation lead exposure low socioeconomic status male men middle age mortality novel strategies offspring older men older women premature prospective psychosocial socioeconomics stressor therapy design therapy development waterborne young adult

项目摘要

ABSTRACT Adverse childhood experiences, such as poverty, psychosocial stressors, and environmental hazards, have been consistently linked to poor adult health. Despite the public health significance of such early adversity, the processes by which the “long arm of childhood” brings about morbidity and mortality in later life remain largely unknown. Scientific progress in this area has been severely handicapped by two limitations intrinsic to nearly all longitudinal studies of aging: (1) reliance on retrospective assessments of early conditions, and (2) inadequate “lifespan data” on the intervening processes between childhood and old age. The Boston Early Adversity and Mortality Study (BEAMS) will tackle the limitation of retrospective data by using high-quality administrative record linkage. In Aim 1, we link contemporaneous information on early-life health, family, and environmental hazards from multiple databases (including recently digitalized vital and census records, hospital and military records, public data on water- and air-borne lead exposure) to longitudinal data collected on three cohorts of men who have been assessed repeatedly since 1938 (N=724) or 1961 (N=2280) in the greater Boston area. We extend linkage to siblings of the cohorts to include women and allow within-family comparisons. As the cohorts are 74%-94% deceased, record linkage will create an exceptionally rich, cradle- to-death dataset. In Aim 1, we test the hypothesis that early adversities in the psychosocial (e.g., cold or chaotic family environment), socioeconomic (e.g., impoverished neighborhood), and environmental (e.g., lead exposure) domains have independent and additive effects on poor health in older men and women. To address the second limitation noted above, Aim 2 bridges the knowledge gap on processes which transmit the effects of early adversity onto three age-related outcomes: cardiometabolic disease, dementia onset, and all-cause mortality. Leveraging the cradle-to-grave data on these cohorts, we test mediational hypotheses regarding deficiency of socioeconomic (low SES) and psychosocial resources (low social support, extraversion, and conscientiousness), and limited cognitive reserve as candidate pathways. We will examine these mediators as age-specific levels and long-term trajectories in adulthood. We will use a coordinated data analytic approach to inform the replicability and generalizability of findings across the 3 socioeconomically-graded cohorts. Completion of these aims will advance state-of-the-art methods and causal knowledge on how multiple dimensions of early conditions affect lifespan health. Findings are expected to inform policy and intervention efforts targeting the upstream determinants of early adversity, and ultimately prolong the span of good health.

抽象的不良的童年经历，如心理贫困、社会压力和环境危害，尽管这种早期逆境对公共卫生具有重要意义，但人们一直认为它与成人健康状况不佳有关。 “童年的长臂”导致晚年发病和死亡的过程在很大程度上仍然存在这一领域的科学进步几乎受到两个内在限制的严重阻碍。所有关于衰老的纵向研究：(1) 依赖于对早期状况的回顾性评估，以及 (2) 关于童年和老年之间的干预过程的“寿命数据”不足。逆境与死亡率研究（BEAMS）将通过使用高质量的回顾性数据来解决回顾性数据的局限性在目标 1 中，我们将有关早期生命健康、家庭和健康的同期信息联系起来。来自多个数据库的环境危害（包括最近数字化的生命和人口普查记录，医院和军队记录、水和空气中铅暴露的公共数据）到收集的纵向数据对自 1938 年 (N=724) 或 1961 年 (N=2280) 以来反复接受评估的三组男性进行了研究我们将与同龄人的兄弟姐妹的联系扩大到包括女性并允许家庭内部成员。由于队列中 74%-94% 已死亡，记录关联将创建一个异常丰富的摇篮- 在目标 1 中，我们测试了心理社会中的早期逆境（例如寒冷或混乱的家庭环境）、公民社会（例如贫困社区）和环境（例如铅暴露）领域对老年男性和女性的健康状况不佳具有独立和累加的影响。针对上述第二个限制，目标 2 弥合了影响传递过程的知识差距早期逆境对三种与年龄相关的结果的影响：心脏代谢疾病、痴呆症发作和全因利用这些队列的从摇篮到坟墓的数据，我们测试了有关死亡率的中介假设。缺乏社会经济（低社会经济地位）和社会心理资源（低社会支持、外向性和责任心）和有限的认知储备作为候选途径，我们将检查这些中介因素。我们将使用协调的数据分析方法来确定特定年龄的水平和成年期的长期轨迹。告知 3 个社会经济分级群体的研究结果的可复制性和普遍性。完成这些目标将推进最先进的方法和关于多重因素如何产生的因果知识。早期疾病的各个方面影响一生的健康，预计研究结果将为政策和干预提供信息。针对早期逆境的上游决定因素，最终延长健康的时间。