Cargando…

Waist–Calf Circumference Ratio Is an Independent Risk Factor of HRQoL in Centenarians

PURPOSE: To analyze the associations between waist circumference (WC), body mass index (BMI), waist–hip ratio (WHR), waist–height ratio (WHtR), calf circumference, waist-calf circumference ratio (WCR), and quality of life in Hainan centenarians. PATIENTS AND METHODS: A total of 1002 centenarians in...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Shanshan, Liu, Miao, Wang, Shengshu, Jia, Wangping, Han, Ke, He, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007801/
https://www.ncbi.nlm.nih.gov/pubmed/32099434
http://dx.doi.org/10.2147/DMSO.S231435
Descripción
Sumario:PURPOSE: To analyze the associations between waist circumference (WC), body mass index (BMI), waist–hip ratio (WHR), waist–height ratio (WHtR), calf circumference, waist-calf circumference ratio (WCR), and quality of life in Hainan centenarians. PATIENTS AND METHODS: A total of 1002 centenarians in Hainan were selected by a full sample survey. The EQ-5D visual analogue scale (EQ-5D-VAS) was used to investigate the quality of life. Restricted cubic splines were used to analyze and visualize the linear relationships. RESULTS: After adjustment, the standard β values for BMI, WC, WHR, WHtR, calf circumference, and WCR associated with EQ-5D score were 0.101, 0.126, −0.018, 0.100, 0.302, and −0.219, respectively; all associations except for WHR were significant (P < 0.01). With increasing BMI, WC, and calf circumference, the risk of EQ-5D score <1 decreased (odds ratios [ORs] 0.91 [95% confidence interval (CI): 0.86–0.97), 0.97 [95% CI: 0.95–0.99], and 0.87 [95% CI: 0.82–0.92] after adjustment, respectively). With increasing WCR, the risk also increased (OR 2.70 [95% CI: 1.54–4.75]). CONCLUSION: After excluding nutritional and muscle retention factors, fat central distribution negatively impacted the health-related quality of life of the oldest old population.