Literature DB >> 1941025

An overview of body weight of older persons, including the impact on mortality. The National Health and Nutrition Examination Survey I--Epidemiologic Follow-up Study.

J C Cornoni-Huntley1, T B Harris, D F Everett, D Albanes, M S Micozzi, T P Miles, J J Feldman.   

Abstract

The authors studied distributions of body weight for height, change in body weight with age, and the relationship between body mass index and mortality among participants in the Epidemiologic Follow-up Study of the first National Health and Nutrition Examination Survey (NHEFS) (n = 14,407), a cohort study based on an representative sample of the U.S. population. Percentiles of body weight for height according to age and sex are presented. Cross-sectional analyses of body weight suggest that mean body weight increases with age until late middle age, then plateaus and decreases for older aged persons. However, longitudinal analysis of change in weight with age shows that younger persons in the lower quintile at baseline tend to gain more than those in the higher quintile. Older persons in the higher quintile at baseline have the greatest average loss in weight. The relationship of body mass index to mortality is a U-shaped curve, with increased risks in the lowest and highest 15% of the distribution. Increased risk of mortality associated with the highest 15th percentile of the body mass index distribution, as well as the highest 15% of the joint distribution of body mass index and skinfold thickness, is statistically significant for white women. However, the risk diminishes when adjusted for the presence of disease and factors related to disease. More noteworthy is the fact that there is a statistically significant excess risk of mortality for both race and sex groups in the lowest 15% of the body mass index distribution after adjusting for smoking history, and presence of disease. Those in the lowest 15% of the joint body mass index and skinfold thickness distribution, were also at increased risk. Risk of mortality for both men and women who have lost 10% or more of their maximum lifetime weight within the last 10 years is statistically significant, even when controlling for current weight. This study has replicated previously reported relationships, while correcting for several methodological issues.

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Year:  1991        PMID: 1941025     DOI: 10.1016/0895-4356(91)90126-t

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  41 in total

1.  Body mass index and disability in adulthood: a 20-year panel study.

Authors:  Kenneth F Ferraro; Ya-Ping Su; Randall J Gretebeck; David R Black; Stephen F Badylak
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2.  Epidemiology and consequences of obesity.

Authors:  June Stevens; Kimberly P Truesdale
Journal:  J Gastrointest Surg       Date:  2003 May-Jun       Impact factor: 3.452

3.  Body mass index. An additional prognostic factor in ICU patients.

Authors:  Maité Garrouste-Orgeas; Gilles Troché; Elie Azoulay; Antoine Caubel; Arnaud de Lassence; Christine Cheval; Laurent Montesino; Marie Thuong; François Vincent; Yves Cohen; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2004-02-06       Impact factor: 17.440

4.  Harris-Benedict equations do not adequately predict energy requirements in elderly hospitalized African Americans.

Authors:  Charlene Compher; Robert Cato; Joan Bader; Bruce Kinosian
Journal:  J Natl Med Assoc       Date:  2004-02       Impact factor: 1.798

5.  Impacts of components of the metabolic syndrome on health status and survival in an aged population.

Authors:  O Lindberg; R S Tilvis; T E Strandberg; J Valvanne; S Sairanen; C Ehnholm; J Tuomilehto
Journal:  Eur J Epidemiol       Date:  1997-06       Impact factor: 8.082

Review 6.  Weight loss in older adults.

Authors:  David R Thomas
Journal:  Rev Endocr Metab Disord       Date:  2005-05       Impact factor: 6.514

7.  Aspects of eating behaviors "disinhibition" and "restraint" are related to weight gain and BMI in women.

Authors:  Nicholas P Hays; Susan B Roberts
Journal:  Obesity (Silver Spring)       Date:  2008-01       Impact factor: 5.002

8.  Association of body mass index with outcomes in patients with CKD.

Authors:  Jun Ling Lu; Kamyar Kalantar-Zadeh; Jennie Z Ma; L Darryl Quarles; Csaba P Kovesdy
Journal:  J Am Soc Nephrol       Date:  2014-03-20       Impact factor: 10.121

9.  Physician evaluation of obesity in health surveys: "who are you calling fat?".

Authors:  Kenneth F Ferraro; Kimberlee B Holland
Journal:  Soc Sci Med       Date:  2002-10       Impact factor: 4.634

10.  Chronic Kidney Disease and the Adiposity Paradox: Valid or Confounded?

Authors:  Susan L Ziolkowski; Jin Long; Joshua F Baker; Glenn M Chertow; Mary B Leonard
Journal:  J Ren Nutr       Date:  2019-01-29       Impact factor: 3.655

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