OBJECTIVES: To determine if body mass index (BMI = weight/height2), predictive of mortality in seriously ill hospitalized and institutionalized patients, is also predictive of mortality in a longitudinal epidemiologic study. DESIGN: A prospective cohort study. SETTING: Rovereto, a town in northern Italy. PARTICIPANTS: A consecutive sample of 214 patients aged 81.2 +/- 7.3 years receiving community care services. MAIN OUTCOME MEASURES: Malnutrition and mortality. RESULTS: According to logistic regression analysis, malnutrition status, expressed by a BMI < 22 Kg/m2, was correlated with dependency in Activity of Daily Living (odds ratio 1.21; 95% confidence interval (CI) 1.01-1.45). Only a low BMI was associated with 1-year survival in Cox regression analysis, after adjusting for potential confounders (relative risk 0.85; 95%CI, 0.74-0.97). A high BMI (>27 Kg/m2) was not significantly related to risk of mortality. CONCLUSIONS: Nutrition variables are a cardinal component of comprehensive geriatric assessment. Our results suggest that BMI, a simple anthropometric measure of nutritional status, is an important predictor of mortality among older people living in the community. Even when controlling for clinical and functional variables, a low BMI remained a significant and independent predictor of shortened survival.
OBJECTIVES: To determine if body mass index (BMI = weight/height2), predictive of mortality in seriously ill hospitalized and institutionalized patients, is also predictive of mortality in a longitudinal epidemiologic study. DESIGN: A prospective cohort study. SETTING: Rovereto, a town in northern Italy. PARTICIPANTS: A consecutive sample of 214 patients aged 81.2 +/- 7.3 years receiving community care services. MAIN OUTCOME MEASURES: Malnutrition and mortality. RESULTS: According to logistic regression analysis, malnutrition status, expressed by a BMI < 22 Kg/m2, was correlated with dependency in Activity of Daily Living (odds ratio 1.21; 95% confidence interval (CI) 1.01-1.45). Only a low BMI was associated with 1-year survival in Cox regression analysis, after adjusting for potential confounders (relative risk 0.85; 95%CI, 0.74-0.97). A high BMI (>27 Kg/m2) was not significantly related to risk of mortality. CONCLUSIONS: Nutrition variables are a cardinal component of comprehensive geriatric assessment. Our results suggest that BMI, a simple anthropometric measure of nutritional status, is an important predictor of mortality among older people living in the community. Even when controlling for clinical and functional variables, a low BMI remained a significant and independent predictor of shortened survival.
Authors: M Mirarefin; F Sharifi; H Fakhrzadeh; N Nazari; M Ghaderpanahi; Z Badamchizade; Y Tajalizadekhoob Journal: J Nutr Health Aging Date: 2011-03 Impact factor: 4.075
Authors: Emanuele Marzetti; Stephanie E Wohlgemuth; Stephen D Anton; Roberto Bernabei; Christy S Carter; Christiaan Leeuwenburgh Journal: Clin Geriatr Med Date: 2009-11 Impact factor: 3.076