Sibel Akın1, Mumtaz M Mazıcıoglu2, Salime Mucuk3, Semsinnur Gocer4, Elif Deniz Şafak2, Sibel Arguvanlı5, Ahmet Ozturk6. 1. Division of Geriatrics, Department of Internal Medicine, Erciyes School of Medicine, Erciyes University, Melikgazi, 38090, Kayseri, Turkey. sibelyanmaz@gmail.com. 2. Department of Family Medicine, Erciyes School of Medicine, Erciyes University, Melikgazi, 38090, Kayseri, Turkey. 3. Department of Nursing, Faculty of Health Sciences, Erciyes University, Melikgazi, 38090, Kayseri, Turkey. 4. Public Health Center, Hacilar, 38210, Kayseri, Turkey. 5. Department of Nursing, Faculty of Health Sciences, Melikşah University, Kayseri, Turkey. 6. Department of Biostatistics, Erciyes School of Medicine, Erciyes University, Melikgazi, 38090, Kayseri, Turkey.
Abstract
AIM: The purpose of this study is to determine the prevalence of frailty with the Fried Frailty Index (FFI) and FRAIL scales (Fatigue, Resistance, Ambulation, Illness, Low weight) and also its associated factors in the community-dwelling Turkish elderly. METHODS: This is a cross-sectional population-based study in an urban area with a population of over 1,200,000. We sampled 1/100 of the elderly population. Frailty prevalence was assessed with a modified version of the FFI and FRAIL scale. Nutritional status was assessed by Mini Nutritional Assessment. Cognitive function was assessed by Mini-Mental State Examination. Depressive mood was assessed by GDS. Functional capacity was assessed by the instrumental activities of daily living scale. Falls and fear of falling were noted. Uni- and multivariate analyses were done to determine associated factors for frailty. RESULTS: A total of 906 community-dwelling elderly were included, in whom the mean age and standard deviation (SD) of age were 71.5 (5.6) years (50.6 % female). We detected frailty (female 30.4 %, male 25.2 %), pre-frailty and non-frailty prevalence with FFI as 27.8, 34.8, and 37.4 %, respectively. The prevalence of frailty (female 14.5 %, male 5.4 %), pre-frailty and non-frailty with the FRAIL scale was detected as 10, 45.6, and 44.4 %. Coexisting associated factors related with frailty in both models were found as depressive mood, cognitive impairment, and malnutrition in multivariate analysis. CONCLUSIONS: According to both scales, frailty was strongly associated with cognitive impairment, depressive mood, and malnutrition in the community-dwelling Turkish elderly population.
AIM: The purpose of this study is to determine the prevalence of frailty with the Fried Frailty Index (FFI) and FRAIL scales (Fatigue, Resistance, Ambulation, Illness, Low weight) and also its associated factors in the community-dwelling Turkish elderly. METHODS: This is a cross-sectional population-based study in an urban area with a population of over 1,200,000. We sampled 1/100 of the elderly population. Frailty prevalence was assessed with a modified version of the FFI and FRAIL scale. Nutritional status was assessed by Mini Nutritional Assessment. Cognitive function was assessed by Mini-Mental State Examination. Depressive mood was assessed by GDS. Functional capacity was assessed by the instrumental activities of daily living scale. Falls and fear of falling were noted. Uni- and multivariate analyses were done to determine associated factors for frailty. RESULTS: A total of 906 community-dwelling elderly were included, in whom the mean age and standard deviation (SD) of age were 71.5 (5.6) years (50.6 % female). We detected frailty (female 30.4 %, male 25.2 %), pre-frailty and non-frailty prevalence with FFI as 27.8, 34.8, and 37.4 %, respectively. The prevalence of frailty (female 14.5 %, male 5.4 %), pre-frailty and non-frailty with the FRAIL scale was detected as 10, 45.6, and 44.4 %. Coexisting associated factors related with frailty in both models were found as depressive mood, cognitive impairment, and malnutrition in multivariate analysis. CONCLUSIONS: According to both scales, frailty was strongly associated with cognitive impairment, depressive mood, and malnutrition in the community-dwelling Turkish elderly population.
Authors: Dhammika D Siriwardhana; Sarah Hardoon; Greta Rait; Manuj C Weerasinghe; Kate R Walters Journal: BMJ Open Date: 2018-03-01 Impact factor: 2.692
Authors: Fairus Asma Mohd Hamidin; Siti Nur'Asyura Adznam; Zuriati Ibrahim; Yoke Mun Chan; Nur Hafizah Abdul Aziz Journal: SAGE Open Med Date: 2018-05-29
Authors: Bader A Alqahtani; Mohammed M Alshehri; Ragab K Elnaggar; Saad M Alsaad; Ahmed A Alsayer; Noura Almadani; Ahmed Alhowimel; Mohammed Alqahtani; Aqeel M Alenazi Journal: Healthcare (Basel) Date: 2022-01-06