Comparison of Ideal Body Weight Equations and Published Height‐Weight Tables With Body Mass Index Tables for Healthy Adults in the United States

Shah, Bhumika; Sucher, K.; Hollenbeck, C. B.

doi:10.1177/0115426506021003312

Cited by 134 publications

(88 citation statements)

References 14 publications

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“…39 This suggests that normal values developed for the general population may not be appropriate for classifying the elderly in terms of mortality risk. It cannot be overlooked, however, that the increased mortality associated with low BMI in the present study may be attributable to preexisting diseases in this patient cohort.…”

Section: Discussionmentioning

confidence: 99%

Body Mass Index is Inversely Related to Mortality in Elderly Subjects

et al. 2007

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PURPOSE:To study the long-term effect of being overweight on mortality in very elderly subjects. METHODS:The medical records of 470 inpatients (226 males) with a mean age of 81.5±7 years and hospitalized in an acute geriatric ward between 1999 and 2000 were reviewed for this study. Body mass index (BMI) at admission day was subdivided into quartiles: <22, 22-25, 25.01-28, and ≥28 kg/m 2 . Patients were followed-up until August 31, 2004. Mortality data were taken from death certificates.RESULTS: During a mean follow-up of 3.46±1.87 years (median 4.2 years [range 1.6 to 5.34 years]), 248 patients died. Those who died had lower baseline BMI than those who survived (24.1±4.2 vs 26.3±4.6 kg/m 2 ; p<.0001). The age-adjusted mortality rate decreased from 24 to 9.6 per 100 patient-years from the highest to lowest BMI quartile (p<.001). BMI was associated with all-cause and cause-specific mortality even after controlling for sex. A multivariate Cox proportional hazards model identified that even after controlling for male gender, age, renal failure, and diabetes mellitus, which increased the risk of all-cause mortality, elevated BMI decreased the allcause mortality risk. CONCLUSIONS:In very elderly subjects, elevated BMI was associated with reduced mortality risk.

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Section: Discussionmentioning

confidence: 99%

Body Mass Index is Inversely Related to Mortality in Elderly Subjects

et al. 2007

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“…The ideal body weight in the present study was defined as the value calculated from the height and a BMI of 22, because of its validity (19), instead of the value calculated with the Lorentz formula used in the original GNRI equation. We compared GNRI scores calculated by both formulae and found that there was little difference between the values (Figure 1).…”

Section: Geriatric Nutritional Risk Indexmentioning

confidence: 99%

Simplified nutritional screening tools for patients on maintenance hemodialysis

Yamada

Furuya

Takita

et al. 2008

The American Journal of Clinical Nutrition

495

427

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Background: Malnutrition is a prevalent complication in patients on maintenance hemodialysis. Nutritional screening tools may be useful to identify those patients at nutritional risk from among hundreds of hemodialysis patients in a large facility. Objective: We tested several simplified nutritional screening tools on hemodialysis patients to validate the potential application of the tools. Design: The simplified nutritional screening tools were chosen from references published between 1985 and 2005. Nutritional assessments, including history taking, and anthropometric and biochemical measurements were performed on 422 hemodialysis patients. These results were applied to obtain the score of each nutritional screening tool and the malnutrition-inflammation score (MIS), a comprehensive nutritional assessment tool, as the reference standard. The usefulness of each nutritional screening tool for identifying nutritional risk was assessed by comparison with the MIS value and various individual nutritional measures. Results: Five reliable nutritional screening tools were found by the literature search. Among them, the geriatric nutritional risk index (GNRI) was considered to be the most accurate in identifying hemodialysis patients at nutritional risk, because the area under the receiver operating characteristic curve generated with the MIS value was the largest. The GNRI showed a significantly negative correlation with the MIS (r ҃ Ҁ0.67, P 0.0001), and the most accurate GNRI cutoff to identify a malnourished patient according to the MIS was 91.2. The GNRI's sensitivity, specificity, and accuracy of 91.2 in predicting malnutrition according to the MIS were 0.730, 0.819, and 0.787, respectively. Conclusion: The GNRI was the simplest and most accurate risk index for identifying hemodialysis patients at nutritional risk according to the MIS.Am J Clin Nutr 2008;87:106 -13.

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“…Mean age at enrollment was 16.0 6 1.7 years (range [12][13][14][15][16][17][18][19] and 93% of the participants were Caucasian. In Table 1, at baseline, the group that subsequently resumed menses was similar to the group that remained amenorrheic with respect to weight, percent median body weight and BMI.…”

Section: As Shown Inmentioning

confidence: 99%

Treatment goal weight in adolescents with anorexia nervosa: Use of BMI percentiles

Golden

Jacobson

Sterling

et al. 2008

Intl J Eating Disorders

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Objective: There is a lack of consensus as to how to determine treatment goal weight in the growing adolescent with anorexia nervosa (AN). Resumption of menses (ROM) is an indicator of biological health and weight at ROM can be used as a treatment goal weight. This study determined the BMI percentile for age at which ROM occurs.Method: A secondary analysis of a prospective cohort study examining 56 adolescent females with AN, aged 12-19 years, followed every 3 months until ROM. BMI percentiles for age and gender at ROM were determined using the nutrition module of Epi Info 2002.Results: At 1-year follow-up, 36 participants (64.3%) resumed menses and 20 (35.7%) remained amenorrheic. Mean BMI percentile at ROM was 27.1 (95% CI 5 20.0-34.2). Fifty percent of participants who resumed menses, did so at a BMI percentile between the 14th and 39th percentile. Conclusion:A BMI percentile range of 14th-39th percentile can be used to assign a treatment goal weight, with adjustments for prior weight, stage of pubertal development, and anticipated growth. V V C 2008 by Wiley Periodicals, Inc.

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Comparison of Ideal Body Weight Equations and Published Height‐Weight Tables With Body Mass Index Tables for Healthy Adults in the United States

Cited by 134 publications

References 14 publications

Body Mass Index is Inversely Related to Mortality in Elderly Subjects

Body Mass Index is Inversely Related to Mortality in Elderly Subjects

Simplified nutritional screening tools for patients on maintenance hemodialysis

Treatment goal weight in adolescents with anorexia nervosa: Use of BMI percentiles

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