Your browser doesn't support javascript.
loading
Associations of handgrip strength with morbidity and all-cause mortality of cardiometabolic multimorbidity.
Lu, Yanqiang; Li, Guochen; Ferrari, Pietro; Freisling, Heinz; Qiao, Yanan; Wu, Luying; Shao, Liping; Ke, Chaofu.
Afiliación
  • Lu Y; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.
  • Li G; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.
  • Ferrari P; Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO), Lyon, France.
  • Freisling H; Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO), Lyon, France.
  • Qiao Y; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.
  • Wu L; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.
  • Shao L; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.
  • Ke C; Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China. cfke@suda.edu.cn.
BMC Med ; 20(1): 191, 2022 06 03.
Article en En | MEDLINE | ID: mdl-35655218
BACKGROUND: Cardiometabolic multimorbidity (CM) is an increasing public health and clinical concern. However, predictors for the development and prognosis of CM are poorly understood. The aims of this study were to investigate the relation between handgrip strength (HGS) and the risk of CM and to examine the association of HGS with all-cause mortality risk among patients with CM. METHODS: This prospective cohort study involved 493,774 participants from the UK Biobank. CM was defined as the simultaneous occurrence of two or more of the following conditions: type 2 diabetes, stroke, and coronary heart disease (CHD). Cox proportional hazards models were performed to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs). RESULTS: During a median follow-up of 12.1 years, 4701 incident CM cases were documented among participants with none cardiometabolic disease at baseline. Compared with the fourth quartile (Q4), the multivariable adjusted HR (95% CI) value of Q1 of HGS for developing CM was 1.46 (1.34-1.60). In participants with one cardiometabolic disease at baseline, participants in Q1 of HGS also possessed higher risk of CM than those in Q4, with HRs (95% CIs) being 1.35 (1.23-1.49) in patients with type 2 diabetes, 1.23 (1.04-1.46) in patients with stroke, and 1.23 (1.11-1.36) in patients with CHD. For participants with CM at recruitment, HGS was also associated with the risk of all-cause mortality (Q1 vs. Q4 HR: 1.57, 95% CI: 1.36-1.80). CONCLUSIONS: Our study provided novel evidence that HGS could be an independent predictor of morbidity and all-cause mortality of CM.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular / Diabetes Mellitus Tipo 2 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular / Diabetes Mellitus Tipo 2 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Med Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article