Objective To conduct a meta-analysis on the relationship between frailty and body composition,identify the risk factors of frailty,draw reliable conclusions,and provide evidence-based basis for early intervention.Methods The databases of China National Knowledge Infrastructure(CNKI),Sinomed,Database for Chinese Technical Periodicals,WanFang Data,Duxiu,PubMed,Web of Science,and Embase were searched for studies on frailty and body composition from their establishment to January 20,2023.Two researchers independently screened the literatures,evaluated the quality,and extracted the data.The RevMan 5.3 software was used for the meta-analysis.Results A total of 15 studies were included,including 14 cross-sectional studies and 1 cohort study.The total sample size was 22 774,including 3 586 patients with frailty.Seven risk factors were involved.The meta-analysis results showed that there were statistical differences in body mass index(BMI)＜18.5 kg/m2,BMI≥30.0 kg/m2,waist circumference(female ≥88 cm and male ≥102 cm),calf circumference,and upper arm muscle circumference(MAMC)(all P＜0.05),and no in the rest factors[25.0 kg/m2≤BMI＜30.0 kg/m2,BMI(unclassified),skeletal muscle mass,body fat mass,body fat percentage,waist circumference(unclassified)](all P＞0.05).The random effect model and fixed effect model were used to estimate the combined OR and 95％confidence interval of the included factors;it found that the consistency of other factors was good(I2=0-38％)except 25.0 kg/m2≤BMI＜30.0 kg/m2,BMI(unclassified),skeletal muscle mass,and waist circumference(unclassified)(I2=50％-98％).The results of this study were reliable.Conclusions Clinical medical workers can develop frailty risk screening tables based on these influencing factors that can be measured quantitatively,and timely implement precise preventive and treatment programs for the screened population with high risk of frailty,so as to further improve the quality of life of the elderly.
万方数据
维普
