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Body Mass Index and Disease Burden in Elderly Men and Women: the Tromsø Study

Overview
Journal Eur J Epidemiol
Specialty Public Health
Date 2010 Jan 21
PMID 20087630
Citations 23
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Abstract

Chronic health problems may be related to body mass index (BMI, kg/m(2)), but this has been best documented in overweight and obese adults. The primary objective of this study was to identify factors associated with different categories of BMI in elderly men and women from the general population, also including the lower categories of BMI. In a cross-sectional population survey from the municipality of Tromsø, Norway we analyzed associations between BMI and a wide range of chronic disease conditions, lifestyle and socioeconomic factors. BMI was categorized into six groups (<20, 20.0-22.4, 22.5-24.9, 25.0-27.4, 27.5-29.9, > or =30.0 kg/m(2)). The study included 4,259 men and women aged 65 years and older from the general population. We found low relative weight (BMI < 20 kg/m(2)) to be associated with increasing prevalence of mental distress, hip fracture, smoking and low handgrip strength. A U-shaped relation to BMI was found for asthma and chronic bronchitis, poor current health and low physical activity. The higher categories of BMI were associated with low education level, a difficult economical situation, diabetes mellitus and ischemic heart disease. These results demonstrate that both low and high BMI are associated with a wide range of prevalent conditions and diseases in elderly men and women. For the clinician the findings emphasize the importance of nutritional assessment as part of the medical evaluation of elderly patients.

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References
1.
Bechtold M, Palmer J, Valtos J, Iasiello C, Sowers J . Metabolic syndrome in the elderly. Curr Diab Rep. 2006; 6(1):64-71. DOI: 10.1007/s11892-006-0054-3. View

2.
Campillo B, Paillaud E, Uzan I, Merlier I, Abdellaoui M, Perennec J . Value of body mass index in the detection of severe malnutrition: influence of the pathology and changes in anthropometric parameters. Clin Nutr. 2004; 23(4):551-9. DOI: 10.1016/j.clnu.2003.10.003. View

3.
Rimm E, Stampfer M, Giovannucci E, Ascherio A, Spiegelman D, Colditz G . Body size and fat distribution as predictors of coronary heart disease among middle-aged and older US men. Am J Epidemiol. 1995; 141(12):1117-27. DOI: 10.1093/oxfordjournals.aje.a117385. View

4.
Launer L, Harris T, Rumpel C, Madans J . Body mass index, weight change, and risk of mobility disability in middle-aged and older women. The epidemiologic follow-up study of NHANES I. JAMA. 1994; 271(14):1093-8. View

5.
Feldblum I, German L, Castel H, Harman-Boehm I, Bilenko N, Eisinger M . Characteristics of undernourished older medical patients and the identification of predictors for undernutrition status. Nutr J. 2007; 6:37. PMC: 2204029. DOI: 10.1186/1475-2891-6-37. View