Chenkai Wu1, Anne B Newman2, Bi-Rong Dong3, Michelle C Odden4. 1. Department of Public Health, School of Health Sciences and Practice, New York Medical College, Valhalla, New York. 2. Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania. 3. Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. 4. School of Biological and Population Health Sciences, Oregon State University, Corvallis, Oregon.
Abstract
OBJECTIVES: To characterize the distribution of an index of healthy aging-the Chinese Healthy Aging Index (CHAI)-in Chinese adults aged 60 and older according to sociodemographic characteristics and geographic region and to examine the association between the CHAI and mortality, disability, and functional limitation over 4 years. DESIGN: Nationally representative cohort study. SETTING: China Health and Retirement Longitudinal Study. PARTICIPANTS: Chinese adults aged 60 and older (N=3,740). MEASUREMENTS: Six CHAI components (systolic blood pressure, peak expiratory flow, Telephone Interview for Cognitive Status, estimated glomerular filtration rate, fasting glucose, C-reactive protein) were scored 0 (healthiest), 1, and 2 (unhealthiest) according to sex-specific tertiles or clinically relevant cut-points and summed to construct the CHAI (range 0-12). RESULTS: Mean CHAI score was 5.6; 5.7% had a score of 0 to 2 (healthiest), 23.0% a score of 3 or 4, 37.5% a score of 5 or 6, and 33.8% a score of 7 to 12 (unhealthiest). Participants who were younger, more educated, and married were much more likely to have an ideal CHAI profile (score 0-2). Age-adjusted prevalence of an ideal CHAI profile ranged from 1.7% in the south to 8.1% in the north. After multivariable adjustment, persons with a CHAI score of 3 to 12 had substantially higher odds of mortality, disability, and functional limitation than those with a score of 0 to 2. The CHAI further stratified outcomes for persons with no clinically recognizable comorbidities. CONCLUSION: Substantial variation exists in the CHAI according to sociodemographic characteristics and geographic regions. The CHAI could identify Chinese elderly adults with low risk of adverse outcomes and provide incremental value for risk prediction beyond clinically diagnosed comorbidities.
OBJECTIVES: To characterize the distribution of an index of healthy aging-the Chinese Healthy Aging Index (CHAI)-in Chinese adults aged 60 and older according to sociodemographic characteristics and geographic region and to examine the association between the CHAI and mortality, disability, and functional limitation over 4 years. DESIGN: Nationally representative cohort study. SETTING: China Health and Retirement Longitudinal Study. PARTICIPANTS: Chinese adults aged 60 and older (N=3,740). MEASUREMENTS: Six CHAI components (systolic blood pressure, peak expiratory flow, Telephone Interview for Cognitive Status, estimated glomerular filtration rate, fasting glucose, C-reactive protein) were scored 0 (healthiest), 1, and 2 (unhealthiest) according to sex-specific tertiles or clinically relevant cut-points and summed to construct the CHAI (range 0-12). RESULTS: Mean CHAI score was 5.6; 5.7% had a score of 0 to 2 (healthiest), 23.0% a score of 3 or 4, 37.5% a score of 5 or 6, and 33.8% a score of 7 to 12 (unhealthiest). Participants who were younger, more educated, and married were much more likely to have an ideal CHAI profile (score 0-2). Age-adjusted prevalence of an ideal CHAI profile ranged from 1.7% in the south to 8.1% in the north. After multivariable adjustment, persons with a CHAI score of 3 to 12 had substantially higher odds of mortality, disability, and functional limitation than those with a score of 0 to 2. The CHAI further stratified outcomes for persons with no clinically recognizable comorbidities. CONCLUSION: Substantial variation exists in the CHAI according to sociodemographic characteristics and geographic regions. The CHAI could identify Chinese elderly adults with low risk of adverse outcomes and provide incremental value for risk prediction beyond clinically diagnosed comorbidities.
Authors: Lauren N Shaver; Daniel P Beavers; Jessica Kiel; Stephen B Kritchevsky; Kristen M Beavers Journal: J Gerontol A Biol Sci Med Sci Date: 2019-07-12 Impact factor: 6.053