Yaning Cai1, Li Liu2, Junyi Wang1, Yang Gao1, Zhaoyan Guo1, Zhiguang Ping3. 1. Department of Health Statistics, College of Public Health, Zhengzhou University, No.100 Science Avenue, Henan, 450001, Zhengzhou, People's Republic of China. 2. Department of Histology and Embryology, School of Basic Medical Sciences, Zhengzhou University, No.100 Science Avenue, Henan, 450001, Zhengzhou, People's Republic of China. 3. Department of Health Statistics, College of Public Health, Zhengzhou University, No.100 Science Avenue, Henan, 450001, Zhengzhou, People's Republic of China. ping_zhg@163.com.
Abstract
BACKGROUND: Grip strength had become a potential tool for clinical assessments, while the predictive value of the grip strength of community-based populations had some limitations. AIMS: To identify the shapes of the association between grip strength and all-cause mortality in the Survey of Health, Ageing and Retirement in Europe (SHARE) cohort. METHODS: Based on the SHARE cohort, 13,231 subjects aged 65 years and older were included in this study. Cox models with penalized splines (P-splines) were employed to characterize the shapes of the association between grip strength and all-cause mortality with the adjustment of covariates including sociodemographic characteristics, health characteristics, behavioral habits, and illness status. Then grip strength was analyzed as a categorical variable in quintile to examine the impact of low grip strength on all-cause mortality. RESULTS: Inversely linear associations were found between grip strength and mortality both in males and females after adjustment for covariates. The hazard ratios (HRs) and their 95% confidence intervals (CIs) for each 5 kg decrease in grip strength to all-cause mortality were 1.11 (1.06-1.18) in males and 1.17 (1.08-1.28) in females. In comparison with subjects in the fifth quintile, the adjusted HRs and 95% CIs of all-cause mortality in the first quintile was 2.39 (1.79-3.19) in males and 1.84 (1.34-2.51) in females. Which were statistically significant in the second quintile compared with the fifth quintile [Males: 2.06 (1.56, 2.74), Females: 1.83 (1.35, 2.48)]. CONCLUSIONS: Grip strength is inversely linear association with all-cause mortality and the low grip strength at the first and second quintile are a robust predictor of all-cause mortality.
BACKGROUND: Grip strength had become a potential tool for clinical assessments, while the predictive value of the grip strength of community-based populations had some limitations. AIMS: To identify the shapes of the association between grip strength and all-cause mortality in the Survey of Health, Ageing and Retirement in Europe (SHARE) cohort. METHODS: Based on the SHARE cohort, 13,231 subjects aged 65 years and older were included in this study. Cox models with penalized splines (P-splines) were employed to characterize the shapes of the association between grip strength and all-cause mortality with the adjustment of covariates including sociodemographic characteristics, health characteristics, behavioral habits, and illness status. Then grip strength was analyzed as a categorical variable in quintile to examine the impact of low grip strength on all-cause mortality. RESULTS: Inversely linear associations were found between grip strength and mortality both in males and females after adjustment for covariates. The hazard ratios (HRs) and their 95% confidence intervals (CIs) for each 5 kg decrease in grip strength to all-cause mortality were 1.11 (1.06-1.18) in males and 1.17 (1.08-1.28) in females. In comparison with subjects in the fifth quintile, the adjusted HRs and 95% CIs of all-cause mortality in the first quintile was 2.39 (1.79-3.19) in males and 1.84 (1.34-2.51) in females. Which were statistically significant in the second quintile compared with the fifth quintile [Males: 2.06 (1.56, 2.74), Females: 1.83 (1.35, 2.48)]. CONCLUSIONS: Grip strength is inversely linear association with all-cause mortality and the low grip strength at the first and second quintile are a robust predictor of all-cause mortality.
Authors: Ryan P McGrath; Kenneth J Ottenbacher; Brenda M Vincent; William J Kraemer; Mark D Peterson Journal: Ethn Health Date: 2017-12-26 Impact factor: 2.772
Authors: Mark D Peterson; Peng Zhang; Kate A Duchowny; Kyriakos S Markides; Kenneth J Ottenbacher; Soham Al Snih Journal: J Gerontol A Biol Sci Med Sci Date: 2016-03-24 Impact factor: 6.053
Authors: Carlos A Celis-Morales; Paul Welsh; Donald M Lyall; Lewis Steell; Fanny Petermann; Jana Anderson; Stamatina Iliodromiti; Anne Sillars; Nicholas Graham; Daniel F Mackay; Jill P Pell; Jason M R Gill; Naveed Sattar; Stuart R Gray Journal: BMJ Date: 2018-05-08
Authors: Marian L Neuhouser; Rebecca P Hunt; Linda Van Horn; James M Shikany; Marcia L Stefanick; Karen C Johnson; Robert Brunner; Brad Cannell; Irene E Hatsu; Lesley F Tinker Journal: Prev Med Date: 2020-08-12 Impact factor: 4.018