Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters








Language
Year range
1.
Chinese Journal of Practical Nursing ; (36): 1618-1623, 2019.
Article in Chinese | WPRIM | ID: wpr-803208

ABSTRACT

Objective@#To investigate the status of frailty in elderly inpatients with type 2 diabetes and its influencing factors.@*Methods@#Collected 126 cases hospitalized elderly patients with type 2 diabetes (from September 2017 to August 2018) general information, glycosylated hemoglobin A1C (HbA1C), comorbidity, nutritional assessment, Mini-Mental State Examination (MMSE), the frailty scale, multiariable Logistic regression was used for the analysis of frailty influence factors.@*Results@#38.1% (48/126) of elderly in patients with diabetes had no frailty, 25.4% (32/126) of patients with pre-frailty, and 36.5% (46/126) of patients with frailty. Logistic regression analysis showed that poor nutritional status, cognitive impairment and lower scores of instrumental daily living ability were the main risk factors for frailty in elderly diabetes.@*Conclusion@#Among elderly in patients with diabetes, the incidence of frailty is high, suggesting that clinical medical staff should identify frailty patients as early as possible, strengthen the integrated management of elderly in patients with diabetes through the multidisciplinary cooperation model, provide individualized guidance, reduce and delay the occurrence of frailty in elderly patients with diabetes.

2.
Chinese Journal of Practical Nursing ; (36): 1618-1623, 2019.
Article in Chinese | WPRIM | ID: wpr-752697

ABSTRACT

Objective To investigate the status of frailty in elderly inpatients with type 2 diabetes and its influencing factors. Methods Collected 126 cases hospitalized elderly patients with type 2 diabetes (from September 2017 to August 2018) general information, glycosylated hemoglobin A1C (HbA1C), comorbidity, nutritional assessment,Mini-Mental State Examination (MMSE), the frailty scale , multiariable Logistic regression was used for the analysis of frailty influence factors. Results 38.1% (48/126) of elderly in patients with diabetes had no frailty, 25.4% (32/126) of patients with pre-frailty, and 36.5% (46/126) of patients with frailty. Logistic regression analysis showed that poor nutritional status, cognitive impairment and lower scores of instrumental daily living ability were the main risk factors for frailty in elderly diabetes. Conclusion Among elderly in patients with diabetes, the incidence of frailty is high, suggesting that clinical medical staff should identify frailty patients as early as possible, strengthen the integrated management of elderly in patients with diabetes through the multidisciplinary cooperation model, provide individualized guidance, reduce and delay the occurrence of frailty in elderly patients with diabetes.

SELECTION OF CITATIONS
SEARCH DETAIL