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: 8460506
• 负责人: Ken R Smith
• 金额: $ 81.09万
• 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/8460506
• 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; public health relevance; 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.

描述（由申请人提供）：本提案的目标是测试关于早期生活环境（ELCS）与晚年健康和生存之间关系的假设，该假设基于对一个重要的纵向家庭健康数据库的新和广泛的补充。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评估，依赖于高质量的社会人口、家庭、医疗和重要记录，这些记录与大型多代谱系有关。该项目以犹他州人口数据库（UPDB）为基础，并将两项研究收集的生物标志物数据联系起来：生育、寿命和老龄化研究（FLAG）和Cache县记忆研究（CCMS）。本研究的目的是解决以下具体目标：目标1。通过将新的高质量的基于人口的数据与UPDB联系起来，扩大现有UPDB的数据存储量，以改进对ELCs和犹他州人口晚年健康的测量。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，第一次世界大战征兵登记和登记数据，以及1921-1936年出生证明；(B) 2003-2008年医疗保险索赔的诊断数据，将添加到现有的1992-2002年CMS数据中。我们将重点放在以下领域的不利和有利条件上：出生时的环境、社会经济地位（个人、父母和邻里）、社会/家庭支持和压力、生育能力和家族疾病/寿命史。健康结果包括特定年龄的全因死亡率和特定病因死亡率、合并症风险、特定部位的癌症发病率和发病率轨迹。目标2。使用UPDB中包含的数据以及作为Aim 1的一部分获得的测量方法，检验Aim 1中测量的每种不良ELCs对成人年龄特异性全因和病因特异性死亡率和发病率风险具有持久不良影响的假设。目标3。验证不良内皮细胞将与已知与成人健康状况不佳和生存相关的生物标志物和临床指标相关的假设。我们将使用UPDB与FLAG和CCMS研究中受试者之间现有数据联系的数据。研究的生物标志物包括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、硫酸脱氢表雄酮（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BMI。我们还测试了APOE等位基因的修饰是否对ELCS与晚年生物标志物之间的关系有影响。