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衰老中国人群的死亡率与社会经济特征、疾病负担以及生物和身体功能之间的关系。

Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population.

机构信息

Carolina Population Center, University of North Carolina, Chapel Hill, USA.

Department of Economics, University of Southern California, Los Angeles, USA.

出版信息

J Gerontol B Psychol Sci Soc Sci. 2022 Feb 3;77(2):365-377. doi: 10.1093/geronb/gbab059.

Abstract

OBJECTIVES

Determinants of mortality may depend on the time and place where they are examined. China provides an important context in which to study the determinants of mortality at older ages because of its unique social, economic, and epidemiological circumstances. This study uses a nationally representative sample of persons in China to determine how socioeconomic characteristics, early-life conditions, biological and physical functioning, and disease burden predict 4-year mortality after age 60.

METHODS

We used data from the China Health and Retirement Longitudinal Study. We employed a series of Cox proportional hazard models based on exact survival time to predict 4-year all-cause mortality between the 2011 baseline interview and the 2015 interview.

RESULTS

We found that rural residence, poor physical functioning ability, uncontrolled hypertension, diabetes, cancer, a high level of systemic inflammation, and poor kidney functioning are strong predictors of mortality among older Chinese.

DISCUSSION

The results show that the objectively measured indicators of physical functioning and biomarkers are independent and strong predictors of mortality risk after accounting for several additional self-reported health measures, confirming the value of incorporating biological and performance measurements in population health surveys to help understand health changes and aging processes that lead to mortality. This study also highlights the importance of social and historical context in the study of old-age mortality.

摘要

目的

死亡率的决定因素可能取决于研究它们的时间和地点。中国提供了一个研究老年人群死亡率决定因素的重要背景,因为其具有独特的社会、经济和流行病学情况。本研究使用中国具有代表性的人群样本,确定社会经济特征、生命早期状况、生理和身体功能以及疾病负担如何预测 60 岁以后 4 年的死亡率。

方法

我们使用了中国健康与退休纵向研究的数据。我们采用了一系列基于确切生存时间的 Cox 比例风险模型,以预测从 2011 年基线访谈到 2015 年访谈之间的 4 年全因死亡率。

结果

我们发现,农村居住、身体功能能力差、未控制的高血压、糖尿病、癌症、全身性炎症水平高和肾功能差是中国老年人死亡的强烈预测因素。

讨论

结果表明,在考虑了其他几项自我报告的健康措施后,身体功能和生物标志物的客观测量指标是死亡率风险的独立且强有力的预测因素,证实了在人口健康调查中纳入生物和表现测量值以帮助理解导致死亡率的健康变化和衰老过程的价值。本研究还强调了在研究老年人群死亡率时社会和历史背景的重要性。

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