کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5872051 1142981 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Original articleMini Nutritional Assessment and short-form Mini Nutritional Assessment can predict the future risk of falling in older adults - Results of a national cohort study
ترجمه فارسی عنوان
مقالات اصلی ارزیابی تغذیه مین و ارزیابی کوتاه مدت تغذیه ای می تواند خطر ابتلا به سقوط در افراد مسن را پیش بینی کند - نتایج یک مطالعه کوهورت ملی
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی مراقبت های ویژه و مراقبتهای ویژه پزشکی
چکیده انگلیسی

SummaryBackground & aimsFalling is a major issue in geriatric health. Tools that identify individuals at risk of falling can help reduce the risk of falling. The study aimed to determine whether the full and short-form Mini Nutritional Assessment (MNAs) have the ability to predict the risk of falling in older adults.MethodsSubjects were 3118 ≥ 53-year old Taiwanese who completed both the 1999 and 2003 “Taiwan Longitudinal Study on Aging” surveys. We rated these subjects with normalized versions of the MNA and applied the standard cut-offs to define under-nutrition (≤23.5 and ≤11 points, respectively). We used multivariate logistic regression analysis and receiver operating characteristics to evaluate the ability of these tools in predicting the risk of falling three years later.ResultsOlder adults rated as at risk of malnutrition with the full MNA (OR = 1.87, 95% confidence interval = 1.33-2.63, p < 0.001) or the short-form (1.39, 1.07-1.80, p = 0.014) were associated with increased risk of falling three years later. Both versions significantly predicted the risk of falling and performed slightly better in ≥65-year old persons than in younger (53-64-year old) persons. The short-form performed relatively well compared to the full scale.ConclusionsResults suggest that the full and short-form MNAs, in addition to rating the risk of malnutrition, also predict the risk of falling in older adults. Although the short-form is slightly less effective than the full scale in predicting the future risk of falling, its simplicity, effectiveness and efficiency make it ideal as a multipurpose screening tool in clinical settings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Nutrition - Volume 33, Issue 5, October 2014, Pages 844-849
نویسندگان
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