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: 8260529
• 负责人: Ken R Smith
• 金额: $ 83.67万
• 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/8260529
• 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. 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）：该提案的目标是基于对主要纵向家庭健康数据库的新的和广泛的补充，测试有关早期生活环境（ELCS）与晚年健康和生存之间关联的假设。拟议的研究将增进我们对这些关联的理解，因为它对一个多世纪以来的整个人口进行了深入评估，这些评估依赖于与大型多代谱系相关的高质量社会人口、家庭、医疗和重要记录。该项目基于犹他州人口数据库 (UPDB)，并将从两项研究中收集的生物标志物数据链接起来：生育力、长寿和衰老研究 (FLAG) 和卡什县记忆研究 (CCMS)。 本研究的目的是实现以下具体目标： 目标 1. 通过将新的高质量人口数据与 UPDB 联系起来，扩大现有 UPDB 的数据持有量，以改进 ELC 和犹他州人口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、第一次世界大战草案登记和登记数据以及 1921-1936 年出生证明； (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。我们重点关注分为以下领域的不利和有利条件：出生时的情况、社会经济地位（个人、父母和邻居）、社会/家庭支持和压力、生育力以及疾病/长寿家族史。健康结果是特定年龄的全因和特定原因死亡率、共病风险、特定部位癌症发病率和发病轨迹。目标 2. 使用 UPDB 中包含的数据并辅以作为目标 1 的一部分获得的措施来检验目标 1 中测量的每种不良 ELC 对成人特定年龄全因和特定原因死亡率和发病风险具有持久不利影响的假设。目标 3. 检验不良 ELC 将与已知与成人不良健康和生存相关的生物标志物和临床措施相关的假设。我们将使用 UPDB 与 FLAG 和 CCMS 研究中的受试者之间现有数据链接的数据。 研究的生物标志物测量包括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联有影响。 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晚年生活健康和生存之间的关联。该研究将扩大我们对 ELCS 对健康影响的理解，并将有助于指导制定针对高危人群的干预措施，以便在成人不良健康结果出现之前很久就采取干预措施。