Early Life Conditions, Survival, and Health: A Pedigree-Based Population Study

早期生活状况、生存和健康：基于谱系的人口研究

• 批准号: 8041739
• 负责人: Ken R Smith
• 金额: $ 94.71万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-16 至 2016-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8041739
• 关键词: Address; Adult; Adverse effects; Age; Aging; Albumins; Alleles; Ambulatory Surgical Procedures; Biological Markers; Birth; Birth Certificates; Blood; Blood Pressure; Breast; C-reactive protein; Cardiovascular Diseases; Censuses; Characteristics; Cholesterol; Clinical; Cohort Studies; Colorectal; Comorbidity; Complement; County; Creatinine; Data; Data Linkages; Databases; Dehydroepiandrosterone Sulfate; Diagnosis; Disease; Elderly; Family; Family history of; Fertility; Fertility Study; Forced expiratory volume function; Funding; Genetic; Glycosylated Hemoglobin; Goals; Health; Health Status; Heart Rate; Incidence; Individual; Insulin Resistance; Intervention; Length; Life; Life Cycle Stages; Link; Longevity; Malignant Neoplasms; Malignant neoplasm of lung; Measures; Mediating; Medical; Medicare claim; Memory; Modification; Morbidity - disease rate; Neighborhoods; Outcome; Phenotype; Play; Population; Population Database; Population Study; Prostate; Pulmonary Function Test/Forced Expiratory Volume 1; Records; Research Personnel; Research Project Grants; Risk; Role; Serum; Site; Socioeconomic Status; Stomach; Stress; Testing; Uric Acid; Utah; Variant; Vertebral column; World War I; age related; base; cohort; data registry; dehydroepiandrosterone; early childhood; fasting glucose; genetic association; genetic pedigree; genome-wide; grasp; health disparity; improved; insight; middle age; mortality; next generation; novel; population based; social; socioeconomics; surveillance strategy; telomere; therapy development

DESCRIPTION (provided by applicant): The goal of this proposal is to test hypotheses about the association between early life circumstances (ELCS) and later life health and survival based on new and extensive additions to a premier longitudinal, familial health database. The proposed study will advance our understanding of these associations because of its in-depth assessment of an entire population spanning more than a century that rely on high-quality socio-demographic, family, medical, and vital records linked into large multi-generational pedigrees. The project is based on the Utah Population Database (UPDB) and links biomarker data collected from two studies: Fertility, Longevity & Aging study (FLAG) and the Cache County Memory Study (CCMS). The purpose of this study is to address the following specific aims: Aim 1. Expand the data holdings of the existing UPDB by linking new high-quality population- based data to the UPDB to improve measures of ELCs and later-life health of Utah's population. These improvements specifically include: (A) Individual data for all Utahns in the 1900-1930 U.S. Censuses, World War I Draft Registration & Registry Data, and 1921-1936 Birth Certificates; and (B) Diagnosis data from Medicare claims for 2003-2008 that will be added to existing CMS data from 1992-2002. We focus on adverse and beneficial conditions grouped into the following domains: circumstances at birth, socioeconomic status (personal, parental, and neighborhood), social/familial support and stress, fertility, and family history of disease/longevity. Health outcomes are age-specific all-cause and cause-specific mortality, co-morbidity risks, site-specific cancer incidence, and morbidity trajectories. Aim 2. Test hypotheses that each adverse ELCs as measured in Aim 1 has enduring adverse effects on adult age-specific all-cause and cause-specific mortality and morbidity risks using data contained within the UPDB supplemented with measures acquired as part of Aim 1. Aim 3. Test the hypothesis that adverse ELCs will be associated with biomarker and clinical measures known to be related to poor health and survival among adults. We will use data from existing data linkages between UPDB and subjects in the FLAG and CCMS studies. Biomarker measures studied include C-reactive protein, white blood count, albumin, uric acid, creatinine, serum cholesterol, glycosylated hemoglobin, dehydroepiandrosterone sulfate (DHEAS & DHEA), fasting glucose and insulin resistance, telomere length, blood pressure, heart rate, grip strength, forced expiratory volume (FEV1), and BMI. We also test if there is effect modification of APOE alleles on the association between ELCS & later-life biomarkers. PUBLIC HEALTH RELEVANCE: This study will identify associations between specific adverse early- and mid-life circumstances and later life-health and survival. The study will expand our understanding of the health effects of ELCS and will help guide the development of interventions for at-risk individuals to be introduced long before the onset of adverse adult health outcomes.

描述(由申请人提供)：本提案的目标是基于一个主要的纵向家庭健康数据库的新的和广泛的补充，测试关于早期生活环境(ELCs)和后来的生活健康和生存之间的联系的假设。这项拟议的研究将促进我们对这些关联的理解，因为它对跨越一个多世纪的整个人口进行了深入的评估，这些人口依赖于与大的多代谱系相关的高质量社会人口、家庭、医疗和生命记录。该项目基于犹他州人口数据库(UPDB)，并将从两项研究收集的生物标记物数据联系起来：生育力、寿命和老龄化研究(FLAG)和卡奇县记忆研究(CCMS)。这项研究的目的是解决以下具体目标：目的1.通过将新的高质量基于人口的数据与UPDB联系起来，扩大现有UPDB的数据持有量，以改善犹他州人口的ELCS和晚年健康的衡量标准。这些改进具体包括：(A)1900-1930年美国人口普查中所有犹他州人的个人数据、第一次世界大战登记和登记草案数据以及1921-1936年出生证明；以及(B)2003-2008年联邦医疗保险索赔的诊断数据，这些数据将被添加到1992-2002年现有的CMS数据中。我们将不利和有利的条件归类到以下领域：出生环境、社会经济地位(个人、父母和邻居)、社会/家庭支持和压力、生育和家族疾病史/长寿。健康结果是特定年龄的全因死亡率和特定原因死亡率、共发病风险、特定部位的癌症发病率和发病率轨迹。目的2.使用UPDB中包含的数据以及作为目标1的一部分获得的措施来测试假设，即目标1中测量的每个不良ELCs对成人特定年龄特定的全因和特定原因的死亡率和发病率风险具有持久的不利影响。目的3.测试不良ELC将与已知与成人健康不良和生存不良相关的生物标记物和临床措施相关的假设。我们将使用UPDB与旗帜和CCMS研究对象之间现有数据联系的数据。研究的生物标志物指标包括C反应蛋白、白细胞计数、白蛋白、尿酸、肌酐、血清胆固醇、糖化血红蛋白、脱氢表雄酮(DHEAS和DHEA)、空腹血糖和胰岛素抵抗、端粒长度、血压、心率、握力、用力呼气量(FEV1)和体重指数(BMI)。我们还测试了载脂蛋白E等位基因是否对ELCs和以后的生物标记物之间的关联性有影响。 公共卫生相关性：这项研究将确定特定的早年和中年不利环境与以后的生活健康和生存之间的联系。这项研究将扩大我们对ELCs对健康影响的理解，并将有助于指导制定针对高危个体的干预措施，这些干预措施将在不良成人健康后果出现之前很久就开始实施。