McCabe Elizabeth L, Larson Martin G, Lunetta Kathryn L, Newman Anne B, Cheng Susan, Murabito Joanne M
Department of Biostatistics, Boston University School of Public Health, Massachusetts.
Framingham Heart Study, Massachusetts.
J Gerontol A Biol Sci Med Sci. 2016 Dec;71(12):1695-1701. doi: 10.1093/gerona/glw077. Epub 2016 Apr 26.
The healthy aging index (HAI) was developed as a marker of health in multiple systems that can identify individuals who age most successfully.
We calculated an HAI in 934 Framingham Offspring Study participants aged 60 or older at baseline. Heart rate and C-reactive protein (CRP) were added in modified versions of the HAI. Cox proportional hazard models were used to quantify the association of the HAI with mortality, cardiovascular disease (CVD), and cancer. We used fully conditional specification to multiply impute missing values for HAI components, increasing the sample size by 44%.
Over 10 years of follow-up, there were 138 deaths, 103 incident cases of CVD, and 138 incident cases of cancer. In models adjusted for age, sex, and behavioral risk factors, the HAI was associated with mortality (hazard ratio [HR] per unit of HAI 1.24, 95% confidence interval [CI] 1.13-1.36) and with CVD (HR 1.27, 95% CI 1.13-1.42), but not with cancer (HR 1.01, 95% CI 0.91-1.11) in observed (non-missing) data. In multivariable models further adjusting for prevalent diseases, results were slightly attenuated. When including heart rate and CRP, a modified HAI gave stronger associations. Results with imputed data are similar to results from complete case analyses.
In our large community-based sample, the HAI is a strong predictor of mortality and CVD. Other factors that are strongly associated with mortality, such as heart rate and CRP can improve the ability of the HAI to identify the healthiest older adults.
健康衰老指数(HAI)被开发作为多系统健康状况的一个指标,可识别衰老最成功的个体。
我们在934名基线年龄为60岁及以上的弗雷明汉后代研究参与者中计算了HAI。心率和C反应蛋白(CRP)被纳入HAI的改良版本。使用Cox比例风险模型来量化HAI与死亡率、心血管疾病(CVD)和癌症之间的关联。我们使用完全条件设定对HAI各组成部分的缺失值进行多重插补,样本量增加了44%。
在10年的随访中,有138例死亡、103例新发CVD病例和138例新发癌症病例。在根据年龄、性别和行为风险因素调整的模型中,在观察到的(无缺失)数据中,HAI与死亡率(每单位HAI的风险比[HR]为1.24,95%置信区间[CI]为1.13 - 1.36)和CVD(HR为1.27,95%CI为1.13 - 1.42)相关,但与癌症无关(HR为1.01,95%CI为0.91 - 1.11)。在进一步根据慢性病进行调整的多变量模型中,结果略有减弱。当纳入心率和CRP时,改良后的HAI关联更强。插补数据的结果与完全病例分析的结果相似。
在我们基于社区的大样本中,HAI是死亡率和CVD的有力预测指标。其他与死亡率密切相关的因素,如心率和CRP,可以提高HAI识别最健康老年人的能力。