Purpose: The study aimed to investigate the association between body composition and frailty in elder inpatients. Patients and Methods: This is a cross-sectional study including 656 elder inpatients (275 females and 381 males) aged ≥65 years, from department of geriatrics of Zhejiang Hospital between January 2018 and March 2019. Sociodemographic, health-related data and anthropometric measurements were evaluated. Body composition was assessed by bioimpedance analysis (BIA), mainly including skeletal muscle mass, body fat mass, total body water, fat-free mass,percent body fat, basal metabolic rate. Frailty was assessed by Clinical Frailty Scale (CFS). Univariate logistic regression was used to analyze the association between body composition and frailty. Results: Frailty was present in 43.9% of the participants. Frail inpatients showed higher waist circumference, body fat mass and percent body fat, non-frail inpatients showed greater upper arm circumference, calf circumference, skeletal muscle mass, total body water, fat-free mass and basal metabolic rate. Subjects with underweight (body mass index (BMI)<18.5 kg/m 2 ; odds ratio (OR), 95% confidence interval (CI)=4.146 (1.286-13.368) P=0.017) and those with high waist circumference (OR 95% CI=1.428 (0.584-3.491) P<0.001), body fat mass (OR, 95% CI=1.143 (0.892-1.315) P<0.001) presented a higher risk of frailty compared to normal subjects. Skeletal muscle mass (OR; 95% CI=0.159 (0.064-0.396) P<0.001) was a protective factor for frailty. Conclusion: Frailty in elder Chinese inpatients was characterized by a body composition phenotype with underweight, high waist circumference, low skeletal muscle mass and high body fat mass. Underweight, abdominal obesity and sarcopenic obesity may, therefore, be targets for intervention of frailty.

ObjectiveThe definition of frailty still lacks quantitative biomarkers. This study aimed to investigate the relationship between nutrition-related biomarkers and frailty in hospitalized older patients.Materials and methodsThis is a cross-sectional study including 380 hospitalized older patients. The patients were categorized as nonfrail (n=140), prefrail (n=81), and frail (n=159) by the criteria of frailty phenotype. The nutritional status was assessed using the mini nutritional assessment-short form (MNA-SF), levels of serum transferrin (TNF), prealbumin (PA), total protein (TP), albumin (ALB), retinol-binding protein (RBP), and hemoglobin (Hb).ResultsThe grip strength, levels of serum TFN, TP, ALB, Hb, and MNA-SF scores all decreased significantly in the order of nonfrail, prefrail, and frail groups (P<0.01). Older ages, more fall incidents, and higher polypharmacy ratio were observed in the frail and prefrail groups than in the nonfrail group (P<0.05). Univariate logistic regression analysis showed that frailty was positively related to age, polypharmacy, fall history, nutritional status, levels of TFN, PA, TP, ALB, RBP, and Hb, but was negatively related to grip strength. Ordinal logistic regression analysis showed that older patients who were well nourished, with higher levels of TFN, TP, and ALB were less likely to develop into frailty.ConclusionHospitalized older patients with better nutritional status and higher levels of TFN, TP, and ALB were less likely to develop into frailty. These nutrition-related biomarkers may be used for the evaluation of nutritional status and frailty in older patients.

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ObjectiveTo investigate whether there is a difference in balance function between older persons with and without diabetes mellitus (DM), and to identify whether mediating factors, such as diabetic complications, Instrumental Activities of Daily Living (IADL) score, Mini-Mental State Examination (MMSE) score, as well as hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), serum total cholesterol (TC), triglycerides (TG), and low-density lipoprotein (LDL), are associated with balance function in older persons with DM.MethodsIn this cross-sectional study, a total of 208 older persons were divided into a DM group (n=80) and a control group who did not have DM (n=128). Balance function was evaluated with the Tinetti performance-oriented mobility assessment (POMA), which includes balance and gait subscales. Activities of daily living (ADL), IADL, and the MMSE were also measured. Fall incidents in last 12 months, the use of walking aids, fear of falling, comorbidities, and polypharmacy were recorded. Diabetic complications were recorded, and HbA1c, FPG, TC, TG, and LDL were measured in the patients of the DM group.ResultsFall incidents in last 12 months were higher in the DM group than in the control group (P<0.01). POMA score as well as ADL and IADL scores were lower in the diabetic group than the control group (P<0.05). Within the diabetic group, the POMA score was positively related to the ADL score (odds ratio [OR], 11.7; 95% confidence interval [CI], 3.076–44.497; P<0.01), IADL score (OR, 16.286; 95% CI, 4.793–55.333; P<0.01), and MMSE score (OR, 10.524; 95% CI, 2.764–40.074; P<0.01), but was negatively related to age (OR, 7.707; 95% CI, 2.035–29.185; P<0.01) and diabetic complication (OR, 6.667; 95% CI, 2.279–19.504; P<0.01). Also, within the DM group, the decreased POMA score was associated with multiple diabetic complications (OR, 5.977; 95% CI, 1.378–25.926; P<0.05), decreased IADL score (OR, 10.288; 95% CI, 2.410–43.915; P<0.01), and MMSE score (OR, 13.757; 95% CI, 2.556–74.048; P<0.01).ConclusionMultiple diabetic complications, lower MMSE, ADL, and IADL scores were associated with declining balance function in the older persons with DM. These findings can alert physicians to detect and intervene earlier on declining balance in older persons with DM.