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.
Background: Intrinsic capacity (IC) is a novel view focusing on healthy aging. The effect of IC on adverse outcomes in older hospitalized Chinese adults is rarely studied. Objectives: This study focused on investigating the impact of IC domains on the adverse health outcomes including new activities of daily living (ADL) dependency, new instrumental activities of daily living (IADL) dependency, and mortality over a 1-year follow-up. Methods: In a retrospective observational population-based study, a total of 329 older hospitalized patients from Zhejiang Hospital in China were enrolled and completed 1-year follow-up. The 5 domains of IC including cognition, locomotion, sensory, vitality, and psychological capacity were assessed at admission. The IC composite score was calculated based on these domains, and the higher IC composite score indicated the greater amount of functional capacities reserved. Multivariate logistic regression models were used to explore the association between IC at baseline and 1-year adverse outcomes. Results: During the 1-year follow-up, 69 patients (22.5%) experienced new ADL dependency, 103 patients (33.6%) suffered from new IADL dependency, and 22 patients (6.7%) died. After adjusting for age, sex, education level, comorbidities, and polypharmacy, low Mini-Mental State Examination (MMSE) scores at admission predicted 1-year new ADL dependency (odds ratio [OR] = 2.31, 95% confidence interval [CI]: 1.12–4.78) and new IADL dependency (OR = 2.15, 95% CI: 1.14–4.04) among older hospitalized patients, but no significance was obtained between IC domains and mortality. Higher IC composite score at admission was associated with decreased risks of 1-year new ADL dependency (OR = 0.53, 95% CI: 0.40–0.70) and new IADL dependency (OR = 0.76, 95% CI: 0.61–0.95), and 1-year mortality (OR = 0.48, 95% CI: 0.31–0.74) after adjustment for the possible confounders. Conclusions: Loss of ICs at admission predicted adverse health outcomes including new ADL and IADL dependency and mortality 1 year after discharge among older hospitalized patients.
Background: Motoric cognitive risk syndrome (MCR) is a newly proposed predementia syndrome incorporating subjective cognitive complaints and slow gait. Previous studies have reported that subjective cognitive complaints and slow gait are associated with frailty in cognitively unimpaired older adults, but little is known about the link between MCR and frailty in older adults. Therefore, the aim of the study was to explore the associations of MCR and its components with frailty in older Chinese adults. Methods: In an observational cross-sectional study, a total of 429 older adults aged 60 years and older were admitted to the geriatric department. According to MCR criteria, all participants were classified into 4 groups: 1) the MCR group; 2) the subjective cognitive complaints only group; 3) the slow gait only group; and 4) the healthy control group. Physical frailty was assessed by the Clinical Frailty Scale (CFS). Multivariate logistic regression analysis was used to examine the association between MCR and frailty in older adults.Results: The prevalence rates of subjective cognitive complaints, slow gait and MCR were 15.9, 10.0 and 4.0%, respectively. After adjusting for confounding variables, the logistic regression analysis showed that slow gait (odds ratio [OR]: 3.40, 95% confidence interval [CI]: 1.40-8.23, P = 0.007) and MCR (OR: 5.53, 95% CI: 1.46-20.89, P = 0.012) were independently associated with frailty, but subjective cognitive complaints were not. Conclusions: MCR and slow gait were significantly associated with frailty in older Chinese adults. Further studies should prospectively determine the causal relationship between MCR and frailty.
Background: Motoric cognitive risk syndrome (MCR) is a newly proposed pre-dementia syndrome incorporating subjective cognitive complaints and slow gait. Previous studies have shown that subjective cognitive complaints and slow gait are reported to be associated with frailty in cognitively unimpaired older adults, but little is known giving attention to the link between MCR and frailty in older adults. Therefore, the aim of the study was to explore the associations of MCR and its components and frailty in Chinese older adults. Methods: In an observation cross-sectional study, a total of 429 older adults aged 60 years and older were admitted to the geriatric department. According to MCR criteria, all participants were classified to 4 groups: 1) MCR group; 2) subjective cognitive complaints only group; 3) slow gait only group; 4) healthy control group. Physical frailty was assessed by Clinical Frailty Scale (CFS). The multivariate logistic regression analysis was used to examine the association between MCR and frailty in older adults. Results: The prevalence of subjective cognitive complaints, slow gait and MCR was 15.9%, 10.0% and 4.0%, respectively. After adjusting for confounding variables, the logistic regression analysis showed that slow gait (odds ratio [OR] 3.40, 95% confidence interval [CI] 1.40-8.23, P=0.007) and MCR (odds ratio [OR] 5.53, 95% confidence interval [CI] 1.46-20.89, P=0.012) were independently associated with frailty, but not subjective cognitive complaints. Conclusions: MCR and slow gait were significantly associated with frailty in Chinese older adults. Further study should prospectively determine the causal relationship between MCR and frailty.
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