Body Mass Index Underestimates Adiposity in Persons With Multiple Sclerosis.
Arch Phys Med Rehabil
; 97(3): 405-12, 2016 Mar.
Article
em En
| MEDLINE
| ID: mdl-26440775
ABSTRACT
OBJECTIVES:
To examine the relation between body mass index (BMI) and adiposity assessed by dual-energy x-ray absorptiometry in persons with multiple sclerosis (MS) and non-MS controls as well as to determine the accuracy of standard and alternate BMI thresholds for obesity.DESIGN:
Cross-sectional.SETTING:
University research laboratory.PARTICIPANTS:
The sample included persons with MS (n=235) and controls (n=53) (N=288).INTERVENTIONS:
Not applicable. MAIN OUTCOMEMEASURES:
Main outcome measures included BMI, whole body soft tissue composition (ie, percent body fat [%BF], fat mass, and lean soft tissue mass), bone mineral content, and bone mineral density.RESULTS:
We observed significant strong associations between BMI and sex-specific %BF in persons with MS and non-MS controls, and BMI explained â¼40% of the variance in %BF in both MS and control samples. Receiver operating characteristic curve analyses indicated that the standard BMI threshold for obesity (ie, 30kg/m(2)) had excellent specificity (93%-100%) but poor sensitivity (37%-44%) in persons with MS and non-MS controls. The BMI threshold that best identified %BF-defined obesity was 24.7kg/m(2) in the MS sample and 25.1kg/m(2) in the control sample.CONCLUSIONS:
We determined a strong association between BMI and adiposity; however, the current BMI threshold for classifying obesity underestimates true adiposity in persons with MS. A similar relation was observed between BMI and obesity in non-MS controls. The non-MS sample included primarily middle-aged women, and similar BMI-%BF misclassifications have been reported in these samples.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Índice de Massa Corporal
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Adiposidade
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Esclerose Múltipla
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
/
Risk_factors_studies
Limite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article