Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool
المؤلفون المشاركون
Closs, Vera Elizabeth
Ziegelmann, Patricia Klarmann
Flores, João Henrique Ferreira
Gomes, Irenio
Schwanke, Carla Helena Augustin
المصدر
Current Gerontology and Geriatrics Research
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-20
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Purpose.
Anthropometry is a useful tool for assessing some risk factors for frailty.
Thus, the aim of this study was to verify the discriminatory performance of anthropometric measures in identifying frailty in the elderly and to create an easy-to-use tool.
Methods.
Cross-sectional study: a subset from the Multidimensional Study of the Elderly in the Family Health Strategy (EMI-SUS) evaluating 538 older adults.
Individuals were classified using the Fried Phenotype criteria, and 26 anthropometric measures were obtained.
The predictive ability of anthropometric measures in identifying frailty was identified through logistic regression and an artificial neural network.
The accuracy of the final models was assessed with an ROC curve.
Results.
The final model comprised the following predictors: weight, waist circumference, bicipital skinfold, sagittal abdominal diameter, and age.
The final neural network models presented a higher ROC curve of 0.78 (CI 95% 0.74–0.82) (P<0.001) than the logistic regression model, with an ROC curve of 0.71 (CI 95% 0.66–0.77) (P<0.001).
Conclusion.
The neural network model provides a reliable tool for identifying prefrailty/frailty in the elderly, with the advantage of being easy to apply in the primary health care.
It may help to provide timely interventions to ameliorate the risk of adverse events.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Closs, Vera Elizabeth& Ziegelmann, Patricia Klarmann& Flores, João Henrique Ferreira& Gomes, Irenio& Schwanke, Carla Helena Augustin. 2017. Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool. Current Gerontology and Geriatrics Research،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139831
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Closs, Vera Elizabeth…[et al.]. Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool. Current Gerontology and Geriatrics Research No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1139831
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Closs, Vera Elizabeth& Ziegelmann, Patricia Klarmann& Flores, João Henrique Ferreira& Gomes, Irenio& Schwanke, Carla Helena Augustin. Anthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool. Current Gerontology and Geriatrics Research. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139831
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139831
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر