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Personality and Well-being Trajectories in Adulthood

Personality and Well-being Trajectories in Adulthood
成年后的人格和幸福轨迹
批准号:
9175028
负责人:
DANIEL K. MROCZEK
金额:
$38.47万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-15 至 2021-05-31

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项目成果

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中文摘要
翻译
人格特质已经成为健康结果的重要预测因素,包括死亡风险。最近 研究结果,包括我们在上一个项目期间的研究结果,也表明健康行为,如吸烟, 和物质使用是人格健康关联的重要中介。这些先前的发现可能是 用三种方式增强、深化和翻译。一是纵向人格与健康的动态建模 数据可以加深我们对两者之间联系的理解。二是可复制性、可复制性 通过使用多个数据集,可以增强个性和健康方面的累积科学, 综合数据分析(IDA)格式。第三,将这项工作扩展到卫生保健利用结果, 帮助将人格和健康的研究转化为医疗保健提供者可以利用的有用工具。在这 竞争性更新,我们建议这三个都做。我们请求支持进一步的数据分析, 波士顿VA规范老化研究(NAS),以及获得纵向数据的另一波(目标1)。 认识到由于平均年龄高和死亡率增加,NAS的规模正在迅速缩小, 还要求支持将我们的研究扩展到IALSA的其他13项纵向研究,或 老龄化纵向研究的综合分析(目标2)。这将使我们的研究计划转向一个 正在进行的大量纵向研究。它还将通过使用 多个数据集最后,我们将通过进行人格和健康的研究, 护理利用率(目标3)。我们相信我们的每一个目标都是重要的,具有高度的健康相关性, 音乐会,他们将导致提高知识的个性如何影响健康,死亡率和医疗保健 结果。
英文摘要
Personality traits have emerged as important predictors of health outcomes, including mortality risk. Recent findings, including our own from the previous project period, also show that health behaviors such as smoking and substance use are important mediators of the personality-health association. These prior findings can be enhanced, deepened and translated in 3 ways. First, dynamic modeling of longitudinal personality and health data can deepen our understanding of the association between the two. Second, replicability, reproducibility and cumulative science in personality and health can be enhanced through the use of multiple data sets in an Integrated Data Analysis (IDA) format. Third, extension of this work toward health care utilization outcomes can help translate research on personality and health into useful tools that health care providers can utilize. In this competing renewal, we propose to do each of these three. We request support for further data analyses within the Boston VA Normative Aging Study (NAS), as well as to obtain one more wave of longitudinal data (Aim 1). Recognizing that the NAS is rapidly decreasing in size due to high mean age and increased mortality, we are also requesting support to expand our studies to 13 other longitudinal studies that are part of the IALSA, or Integrated Analysis of Longitudinal Studies of Aging (Aim 2). This will transition our research program toward a large group of ongoing longitudinal studies. It will also enhance replicability of our findings through use of multiple datasets. Lastly, we will move to a translational focus by conducting studies of personality and health care utilization (Aim 3). We believe each of our aims are significant and have high health relevance, and in concert they will lead to enhanced knowledge of how personality can affect health, mortality, and health care outcomes.
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