Biodemography of Disease and Death in Moscow

描述(由申请人提供)：拟议研究的总体目标是：(1)调查是否可以将24小时更热的监测添加到生物人口调查中，以及霍勒信息是否有助于更好地测量生理死亡人数，并有助于更好地了解将个人特征和社会经济条件与健康和生存联系起来的因果机制，以及(2)提供一个我们自己和其他人可以使用的数据库，以阐明压力对中老年俄罗斯人健康状况差和高死亡率的影响。拟议的研究建立在一个有前景的小规模试点项目--2002-2003年莫斯科试点研究的基础上。为了实现这些总体目标，我们建议对居住在莫斯科的2000名55岁以上的男性和女性进行一项人口统计和健康调查。研究问卷将包括有关早期生活状况、社会经济状况、健康和生活质量、健康行为、身体和认知能力以及心理压力的信息。将收集反映多系统身体功能的各种生物标志物的数据。24小时动态心电图监测将提供反映心率变异性、心律失常事件、睡眠和其他昼夜(昼夜)特征的多维时间序列。我们建议使用回归分析的标准统计方法来研究这些数据，重点是确定Holter监测的增量价值，作为生物人口学研究的额外信息来源。我们计划在第一次访谈后大约2.5年对所有调查参与者进行一次后续访谈，并使用生存分析的标准统计方法研究这些纵向数据，重点是确定Holter信息预测发病率和死亡率的增量价值。最后，我们建议准备并迅速发布一个用户友好的数据集，其中包括我们收集的所有数据。这项研究将试图确定预测健康风险的最具信息量的参数，以便将来在研究和公共卫生实践中使用。

DESCRIPTION (provided by applicant): The general goals of the proposed research are to: (1) Investigate whether 24-hour Hotter monitoring can feasibly be added to biodemographic surveys and whether the Holler information contributes to better measurement of physiological toll and understanding of the causal mechanisms that link individual characteristics and socio-economic conditions with health and survival, and (2) Provide a database that can be used by ourselves and others to shed light on the impact of stress on the poor health and high mortality of middle-aged and elderly Russians. The proposed research builds upon a promising small-scale pilot project, the 2002-2003 Moscow Pilot Study. To pursue these general goals we propose to conduct a demographic and health survey of 2,000 men and women aged 55+ who reside in Moscow. The study questionnaire will include information about early life conditions, socio-economic status, health and quality of life, health behaviors, physical and cognitive ability, and psychological stress. Data on various biomarkers reflecting multi-system body functioning will be collected. Twenty-four-hour Holter monitoring will provide multi dimensional time series reflecting heart rate variability, arrhythmia events, sleep and other circadian (day- night) characteristics. We propose to study these data, using standard statistical methods of regression analysis, with a focus on determining the incremental value of Holter monitoring as an additional source of information in biodemographic research. We plan to conduct a follow-up interview of all survey participants approximately 2.5 years after the first interview and to study these longitudinal data, using standard statistical methods of survival analysis, with a focus on determining the incremental value of Holter information to predict morbidity and mortality. Finally, we propose to prepare and promptly release a user- friendly dataset that includes all the data we collect. The study will attempt to determine the most informative parameters for predicting health risk for future use in research and public health practice.