Physical Performance Trajectories and Mortality Among Older Mexican Americans
Physical Performance Trajectories and Mortality Among Older Mexican Americans
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DOI：
10.1093/gerona/gly013
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发表时间：
2019-02-01
影响因子：
5.1
通讯作者：
Markides, Kyriakos S.
中科院分区：
文献类型：
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作者：
Mutambudzi, Miriam;Chen, Nai-Wei;Markides, Kyriakos S.
背景我们试图确定不同的轨迹类的身体表现在墨西哥裔美国人年龄在75岁及以上，并检查这些轨迹是否预测mortality.Methods我们使用了四波的西班牙裔老年人流行病学研究（H-EPESE）数据的成年人75岁及以上，从2004-2005年至2013年。潜伏生长曲线分析用于识别不同的轨迹类。使用多项逻辑回归分析来检查基线特征与新构建的轨迹之间的关联。考克斯比例风险回归模型研究了作为短体能电池（SPPB）trajectors.Results的功能的死亡率的风险的研究随访期约为9.5年。1411名成年人被成功地分为三个（低下降，高下降，高稳定）的身体表现轨迹类。抑郁症状（相对风险比= 1.94，95%置信区间[CI] = 1.17-3.22），糖尿病（相对风险比= 2.44，95% CI = 1.63-3.65），其他共病健康状况的数量（相对风险比= 1.40，95%CI = 1.16-1.68）和肥胖（相对风险比= 2.83，95%CI = 1.67-4.80）增加了分类为低、相对于高稳定轨迹类别的相对风险。男性和外国出生的身份显着降低了低下降和高下降轨迹类的分类风险。我们观察到低下降（风险比= 3.01，95% CI = 2.34-3. 87)高下降（危害比= 1.64，95%CI = 1.32-2.03）轨迹和死亡率增加的风险。这需要更多的研究来更好地了解不同的身体表现轨迹及其对异质老龄化人群发病率和死亡率的影响。
Background We sought to identify distinct trajectory classes of physical performance in Mexican Americans aged 75 years and older and to examine whether these trajectories predict mortality.Methods We used four waves of Hispanic Established Populations for Epidemiologic Studies of the Elderly (H-EPESE) data for adults 75 years and older from 2004-2005 to 2013. Latent growth curve analysis was used to identify distinct trajectory classes. Multinomial logistic regression analysis was used to examine the association between baseline characteristics and the newly constructed trajectories. Cox proportional hazards regression models examined the hazard of mortality as a function of Short Physical Performance Battery (SPPB) trajectories.Results The study follow-up period was approximately 9.5 years. One thousand four hundred and eleven adults were successfully classified into three (low-declining, high-declining, and high-stable) physical performance trajectory classes. Depressive symptoms (relative risk ratio = 1.94, 95% confidence interval [CI] = 1.17-3.22), diabetes (relative risk ratio = 2.44, 95% CI = 1.63-3.65), number of other comorbid health conditions (relative risk ratio = 1.40, 95% CI = 1.16-1.68), and obesity (relative risk ratio = 2.83, 95% CI = 1.67-4.80), increased the relative risk of classification into the low, relative to high-stable trajectory class. Male gender and foreign-born status significantly reduced risk of classification in the low-declining and high-declining trajectory classes. We observed a statistically significant association between low-declining (hazard ratio = 3.01, 95% CI = 2.34-3. 87) and high-declining (hazard ratio = 1.64, 95% CI = 1.32-2.03) trajectories and increased risk of mortality.Conclusions Differences in mortality across physical performance trajectory classes suggest that these physical performance classes represent differences in underlying disease progression, and thus differences in mortality risk among older Mexican Americans, which warrants additional research to better understand differential physical performance trajectories and their effects on morbidity and mortality in heterogeneous aging populations.