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）：该提案的目的是测试有关早期生活环境（ELC）和后期生活健康和生存之间关联的假设，基于对高级纵向，家庭健康数据库的新和广泛补充。拟议的研究将促进我们对这些关联的理解，因为它对一个世纪以上的整个人口进行了深入的评估，这些评估依赖于高质量的社会人口统计学，家庭，医疗和生命记录，这些记录与大型多代家族相关。该项目基于犹他州人口数据库（UPDB），并链接从两项研究中收集的生物标志物数据：生育能力，长寿与老化研究（FLAG）和Cache县记忆研究（CCMS）。 这项研究的目的是解决以下特定目的：目标1。通过将新的高质量人群数据链接到UPDB，以改善ELC的措施和犹他州人口的后期健康，扩大现有UPDB的数据持有。这些改进特别包括：（a）1900年至1930年美国人口普查，第一次世界大战的注册和注册表数据以及1921 - 1936年出生证明的所有犹他州的个人数据； （b）2003 - 2008年Medicare索赔的诊断数据将添加到1992 - 2002年的现有CMS数据中。我们专注于分类为以下领域的不利条件：出生时的情况，社会经济地位（个人，父母和社区），社会/家族支持和压力，生育能力以及疾病/长寿的家族史。健康结果是特定年龄的全因和特定原因死亡率，合并症的风险，特定地点的癌症发病率和发病率轨迹。 AIM 2。测试假设，即AIM 1中测量的每个不良ELC对成年年龄特异性的全因素和特定原因的死亡率和发病率的风险具有持久的不利影响，使用在AIM 1的UPDB中包含的数据中包含的措施中包含的措施是AIM1。AIM3。AIM 3。测试不良ELC与生物标准和临床量相关的假设与生物量相关的态度和临床量相关，并与之相关的是与之相关的。我们将使用FLACB和CCMS研究中UPDB和受试者之间现有数据链接的数据。 所研究的生物标志物措施包括C反应蛋白，白血球，尿酸，肌酐，血清胆固醇，糖基化的血红蛋白，脱氢表硫酸盐硫酸盐（DHEAS＆DHEA），禁食葡萄糖和胰岛素抵抗和胰岛素抵抗，触发性，血压，血压，心rim和Hearts rip and ferip and ferip and feif（fe）（telemere comportion，decs）。我们还测试了APOE等位基因是否对ELC和后期生物标志物之间的关联进行了影响。