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Analysis Of Risk Factors Of Frailty In Community Residents Of Tiexi District,Shenyang City

Posted on:2024-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z WangFull Text:PDF
GTID:2544307088978439Subject:Public health
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Objective: With the aggravation of aging and the change of lifestyle in China,the prevalence of frailty is increasing,and there are differences in the prevalence rates between different sexes and different ages.Therefore,the purpose of this study is to analyze the gender and age differences of the risk factors of frailty by combining demographic information,exposure characteristics,physical examination and blood biochemical indicators.Research method: This study is a cross-sectional study design.The research samples were all collected in April 2021 to November 2021.4768 elderly residents aged 60 and above in 9 communities in Tiexi District of Shenyang City were included according to the inclusion and exclusion criteria.The FRAIL scale was used to quickly assess the frailty of elderly residents in the community and the subjects were divided into frailty group and non-frailty group according to the scale score.To explore the related risk factors of frailty in community elderly residents,the study consists of 25 variables including demographic information,exposure characteristics,physical examination and blood biochemical indicators,with frailty as the dependent variable.At the same time,gender and age were stratified.Single factor and multi-factor Logistic regression analysis was used to calculate odds ratio(OR)and95% confidence interval(95% CI)to analyze the association between various risk factors of different sexes and different ages.Result: 1.A total of 4768 elderly residents in Tiexi District of Shenyang were included in this study,of which 249(5.2%)were diagnosed as frailty.In all individual populations,including 1782 men and 2986 women,the prevalence of frailty in women(6.2%)was higher than that in men(3.6%)(P 0.001).And the risk of frailty in women was higher than that in men(OR=1.67,95% CI: 1.15-2.42).The prevalence of frailty increased with age,and the lowest prevalence rate was found in the 60-69 age group.There was a statistically significant difference between different age groups(P 0.001).According to the results of binary Logistic regression analysis,nine variables including women,aging,pain,falls,low physical activity,abnormal sleep,slow pace,high fasting blood glucose and abnormal glycosylated hemoglobin are independent risk factors for frailty,and the rise of skeletal muscle mass index is a protective factor for frailty.2.Logistic regression analysis based on sex stratification showed that low physical activity,elevated fasting blood glucose and abnormal glycosylated hemoglobin were the common risk factors of both sexes.Smoking(OR=2.53,95% CI: 1.33-4.79),pain(OR=2.20,95% CI: 1.58-3.07),falls(OR=1.95,95% CI: 1.33-2.88),irregular diet(OR=1.75,95% CI: 1.18-2.59),and increased skeletal muscle mass index(OR=0.81,95% CI: 0.70-0.95)are the independent risk factors of frailty.In men,abnormal sleep(OR=2.71,95% CI: 1.47-5.00)and slow pace(OR=3.24,95% CI:1.81-5.78)are independent factors affecting senile asthenia syndrome.3.Logistic regression analysis based on age stratification shows that pain and low physical activity are common risk factors of frailty in different age groups.Abnormal sleep(OR=1.88,95% CI: 1.14-3.09),slow pace(OR=2.15,95% CI: 1.43-3.23),and increased skeletal muscle mass index(OR=0.77,95% CI: 0.64-0.93)are independent factors affecting frailty in the 60-69 age group.Falls(OR=2.41,95% CI: 1.51-3.82)are the independent risk factors of frailty in the elderly aged 70 years and above.Conclusion: There are differences in the prevalence and risk factors of frailty between different sexes and different ages.Older women in the community who smoked,fell,ate irregularly and had a lower skeletal muscle mass index,and older men in the community who had abnormal sleep and a slow gait speed had a greater risk of developing frailty.Also,people aged 60-69 years with abnormal sleep,slow gait and low skeletal muscle mass index and people aged 70 years and older with falls were at greater risk of frailty.
Keywords/Search Tags:Frailty, Risk factors, Community residents, Gender, Age
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