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Influencing factors for frailty among the elderly |
JIN Lingling1, ZHANG Mingqing2, HUANG Chunyan1, FAN Wei1, WEI Xiaolin1, LU Yan1
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1. Department of Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, Jiangsu 215000, China; 2. Nanjing Medical University, Nanjing, Jiangsu 211166, China |
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Abstract Objective To investigate the prevalence of frailty and its influencing factors among the elderly, so as to provide the evidence for prevention and control of frailty. Methods The elderly population at ages of 65 years and older were selected from 14 administrative villages or communities in Wuzhong District, Suzhou City, Jiangsu Province, using the random cluster sample method from July to November, 2022. Demographic information, smoking and alcohol consumption were collected through questionnaire surveys. Physical activity, sleep quality and frailty were evaluated using the International Physical Activity Questionnaire-Short, Pittsburgh Sleep Quality Index and the FRAIL Scale, respectively. Factors affecting frailty among the elderly were evaluated using a multinomial logistic regression model. Results A total of 8 782 elderly peolple were surveyed, including 4 259 males (48.50%) and 4 523 females (51.50%). The median age was 71.00 (interquartile range, 8.00) years. There were 2 145 cases with pre-frailty (24.42%) and 189 cases with frailty (2.15%). Multinomial logistic regression analysis showed that age (75-<85 years, OR=1.330, 95%CI: 1.186-1.492; ≥85 years, OR=2.452, 95%CI: 1.882-3.195), smoking (current smoking, OR=0.838, 95%CI: 0.714-0.983), physical activity level (low, OR=1.161, 95%CI: 1.010-1.333) and sleep quality (poor, OR=2.248, 95%CI: 1.822-2.774) were associated with pre-frailty; age (75-<85 years,OR=2.629, 95%CI: 1.921-3.596; ≥85 years, OR=3.067, 95%CI: 1.621-5.801), educational level (junior high school and above, OR=0.488, 95%CI: 0.298-0.798), body mass index (underweight, OR=1.848, 95%CI: 1.023-3.337; obesity, OR=1.798, 95%CI: 1.180-2.740), smoking (quit smoking, OR=1.787, 95%CI: 1.007-3.171; current smoking, OR=0.448, 95%CI: 0.242-0.830), alcohol consumption (yes, OR=0.532, 95%CI: 0.291-0.972), physical activity level (low, OR=2.757, 95%CI: 1.646-4.616) and sleep quality (poor, OR=3.911, 95%CI: 2.438-6.273) were associated with frailty. Conclusion Older, low physical activity level, poor sleep quality, underweight and obesity are associated with frailty of the elderly.
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Received: 21 June 2024
Revised: 08 October 2024
Published: 14 November 2024
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