Latent Growth Curve Paths to Longevity: The Terman Study

潜在增长曲线通往长寿之路：特曼研究

• 批准号: 7261230
• 负责人: CHANDRA A REYNOLDS
• 金额: $ 23.56万
• 依托单位: UNIVERSITY OF CALIFORNIA RIVERSIDE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7261230
• 关键词: Accounting; Address; Age; Archives; Attention; Behavioral; Birth; Birth Weight; Cessation of life; Characteristics; Childhood; Chronic Disease; Code; Collaborations; Data; Development; Discipline of Nursing; Disease; Divorce; Elderly; Event; Gender; Genetic; Growth; Habits; Health; Homeostasis; Individual; Individual Differences; Injury; Intelligence; Length; Life; Life Cycle Stages; Longevity; Malignant Neoplasms; Measurement; Measures; Methods; Metric; Modeling; Nature; Non-linear Models; Parental Ages; Participant; Pattern; Personality; Physical activity; Premature Mortality; Protocols documentation; Proxy; Psyche structure; Rate; Research Personnel; Resources; Sampling; Shapes; Signal Transduction; Social support; Socioeconomic Status; Source; Spouses; Statistical Methods; Techniques; Terminal Disease; Time; Variant; biopsychosocial; early childhood; infancy; middle age; mortality; nutrition; programs; psychosocial; social integration; success; trait; young adult

DESCRIPTION (provided by applicant): Disparities in developmental biopsychosocial trajectories beginning in early childhood may distinguish those who reach advanced age exceptionally healthy from those who suffer an early death or chronic disease. Variations in longitudinal trajectories will be examined using a latent growth curve approach on 1,528 individuals from the Terman Life Cycle Study, a comprehensive 8-decade archive. Whilst individuals in the study were selected for childhood intelligence and promise, there was substantial variation in later success, longevity, and disease, including dementing illnesses. Life course trajectories have yet to be considered across the 8-decades of rich psychosocial, health and mortality information available. This project will use dynamical modeling approaches to examine patterns of stability and change for individual characteristics, including physical activity level, social support, and personality, and variations in growth curves as a function of cause-specific mortality (nosologist coded). Childhood data will be used as predictors of variations in growth trajectories, for example, birth weight, nursing, childhood illnesses, developmental milestones, gender, socioeconomic status, and parental age at participant's birth. Life events occurring in adulthood will also be examined as potential sources of turning points in health and psychosocial trajectories, for example, divorce or death of spouse. Sample and familial factors such as intelligence and parental longevity will be statistically accounted for in analyses. Consistent with the Request (RFA), the aim is to use new modeling techniques to expand use of and collaboration on an existing study to assess patterns of health and psychosocial trajectories as well as their dynamic interrelations across time in order to differentiate among those who reach old age and whether they reach it in good health.

描述（由申请人提供）：从童年幼儿开始的发育生物心理社会轨迹的差异可能会使那些达到高龄的人与患有早期死亡或慢性疾病的患者相比。纵向轨迹的变化将使用来自Terman生命周期研究的1,528个个体的潜在生长曲线方法进行检查，这是一个全面的8个十年档案。虽然研究中的个体被选为儿童智力和诺言，但后来的成功，寿命和疾病（包括痴呆疾病）有很大的差异。在可用的丰富的心理社会，健康和死亡率信息中，尚未考虑生命课程轨迹。该项目将使用动态的建模方法来检查个人特征的稳定和变化模式，包括身体活动水平，社会支持和人格，以及成长曲线的变化，这是特定原因死亡率的函数（Nosogid offered）。儿童期数据将用作增长轨迹变化的预测因素，例如，出生体重，护理，儿童疾病，发展里程碑，性别，社会经济地位和参与者出生时的父母年龄。在成年期发生的生活事件也将被视为健康和社会心理轨迹转折点的潜在来源，例如离婚或配偶死亡。样本和家族因素（例如智力和父母寿命）将在分析中统计考虑。与请求（RFA）一致，目的是使用新的建模技术来扩展对现有研究的使用和协作，以评估健康和社会心理轨迹的模式，以及它们跨时间的动态相互关系，以区分那些达到老年的人，以及是否达到良好的健康。