Underweight patients with anorexia nervosa: Comparison of bioelectrical impedance analysis using five equations to dual X-ray absorptiometry

Mattar, Lama; Godart, Nathalie; Melchior, J.C.; Falissard, Bruno; Kolta, Sami; Ringuenet, Damien; Vindreau, C.; Nordon, Clémentine; Blanchet, Corinne; Pichard, Claude

doi:10.1016/j.clnu.2011.05.012

Cited by 28 publications

(23 citation statements)

References 24 publications

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“…Studies investigating humans only b. Any age group c. No sample overlap d. Observational cross-sectional or longitudinal studies or randomized-controlled trials e. Clinical diagnoses of AN according to the DSM IV-5, or their revisions (American Psychiatric Association, 2013), or ICD-10 (World Health Organization, 1992) f. Investigation of body composition by dual-energy X-ray absorptiometry (Bredella et al, , 2013, bioelectrical impedance analysis (BIA) (Bonaccorsi et al, 2012;Mattar et al, 2011), dual photon absorptiometry, or magnetic resonance imaging (Mayer et al, 2005). g. Published or collected after January 1, 1994 (the year that DSM-IV was introduced) h. The study includes a control group or comparison group i.…”

Section: Results Of the Search And Selection Of Studiesmentioning

confidence: 99%

Body composition in anorexia nervosa: Meta‐analysis and meta‐regression of cross‐sectional and longitudinal studies

Hübel

Yılmaz

Schaumberg

et al. 2019

Intl J Eating Disorders

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Objective Clinically, anorexia nervosa (AN) presents with altered body composition. We quantified these alterations and evaluated their relationships with metabolites and hormones in patients with AN longitudinally. Method In accordance with PRISMA guidelines, we conducted 94 meta‐analyses on 62 samples published during 1996–2019, comparing up to 2,319 pretreatment, posttreatment, and weight‐recovered female patients with AN with up to 1,879 controls. Primary outcomes were fat mass, fat‐free mass, body fat percentage, and their regional distribution. Secondary outcomes were bone mineral density, metabolites, and hormones. Meta‐regressions examined relationships among those measures and moderators. Results Pretreatment female patients with AN evidenced 50% lower fat mass (mean difference [MD]: −8.80 kg, 95% CI: −9.81, −7.79, Q = 1.01 × 10−63) and 4.98 kg (95% CI: −5.85, −4.12, Q = 1.99 × 10−28) lower fat‐free mass, with fat mass preferentially stored in the trunk region during early weight restoration (4.2%, 95% CI: −2.1, −6.2, Q = 2.30 × 10−4). While the majority of traits returned to levels seen in healthy controls after weight restoration, fat‐free mass (MD: −1.27 kg, 95% CI: −1.79, −0.75, Q = 5.49 × 10−6) and bone mineral density (MD: −0.10 kg, 95% CI: −0.18, −0.03, Q = 0.01) remained significantly altered. Discussion Body composition is markedly altered in AN, warranting research into these phenotypes as clinical risk or relapse predictors. Notably, the long‐term altered levels of fat‐free mass and bone mineral density suggest that these parameters should be investigated as potential AN trait markers. ResumenObjetivo Clínicamente, la anorexia nervosa (AN) se presenta con alteraciones en la composición corporal. Cuantificamos estas alteraciones y evaluamos longitudinalmente su relación con metabolitos y hormonas en pacientes con AN. Método De acuerdo con las pautas PRISMA, realizamos 94 meta‐análisis en 62 muestras publicadas entre 1996–2019, comparando hasta 2,319 pacientes mujeres en pre‐tratamiento, post‐tratamiento, y recuperadas en base al peso con hasta 1,879 controles. Las principales medidas fueron masa grasa, masa libre de grasa, porcentaje de grasa corporal y su distribución regional. Las medidas secundarias fueron densidad mineral ósea, metabolitos y hormonas. Las meta‐regresiones examinaron las relaciones entre esas medidas y moderadores. Resultados Las pacientes femeninas con AN pre‐tratamiento mostraron un 50% menos de masa grasa (MD: −8.80 kg, CI 95%: −9.81, −7.79, Q = 1.01 × 10–63) y 4.98 kg (CI 95%: −5.85, −4.12, Q = 1.99 × 10–28) menos de masa libre de grasa, con masa grasa preferentemente almacenada en la región del tronco durante la recuperación temprana del peso (4.2%, CI 95%: −2.1, −6.2, Q = 2.30 × 10–4). Aunque la mayoría de los rasgos regresaron a los niveles vistos en los controles sanos después de la restauración del peso, la masa libre de grasa (MD: −1.27 kg, CI 95%: −1.79, −0.75, Q = 5.49 × 10–6) y la densidad mineral ósea (MD: −0.10 kg, CI 95%: −0.18, −0.03, Q = 0.01) perm...

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Section: Results Of the Search And Selection Of Studiesmentioning

confidence: 99%

Body composition in anorexia nervosa: Meta‐analysis and meta‐regression of cross‐sectional and longitudinal studies

Hübel

Yılmaz

Schaumberg

et al. 2019

Intl J Eating Disorders

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“…Previously, Scalfi et al [14] predicted total body water (TBW) and Bedogni et al [15] fat-free mass (FFM) with BIA in small groups of AN and control women, using deuterium oxide (D 2 O) and DXA as reference method, respectively. More recently, Mattar et al [16] studied underweight AN subjects, comparing measurements of FFM and fat mass (FM) using DXA and five different BIA equations already validated in healthy populations, showing large differences in accuracy.…”

Section: Introductionmentioning

confidence: 99%

Prediction of body composition in anorexia nervosa: Results from a retrospective study

et al. 2018

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“…BIA is the only technique which allows calculation of the phase angle, which is correlated with the prognosis of various diseases. BIA equations are valid for: COPD [65] ; AIDS wasting [71] ; heart, lung, and liver transplantation [72] ; anorexia nervosa [73] patients, and elderly subjects [74] . However, no BIA-specific equations have been validated in patients with extreme BMI (less than 17 and higher than 33.8) and dehydration or fluid overload [45,66] .…”

Section: Which Technique Of Body Composition Evaluation Should Be Usementioning

confidence: 99%

The Evaluation of Body Composition: A Useful Tool for Clinical Practice

Thibault

Pichard²

2011

Ann Nutr Metab

Self Cite

141

121

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Undernutrition is insufficiently detected in in- and outpatients, and this is likely to worsen during the next decades. The increased prevalence of obesity together with chronic illnesses associated with fat-free mass (FFM) loss will result in an increased prevalence of sarcopenic obesity. In patients with sarcopenic obesity, weight loss and the body mass index lack accuracy to detect FFM loss. FFM loss is related to increasing mortality, worse clinical outcomes, and impaired quality of life. In sarcopenic obesity and chronic diseases, body composition measurement with dual-energy X-ray absorptiometry, bioelectrical impedance analysis, or computerized tomography quantifies the loss of FFM. It allows tailored nutritional support and disease-specific therapy and reduces the risk of drug toxicity. Body composition evaluation should be integrated into routine clinical practice for the initial assessment and sequential follow-up of nutritional status. It could allow objective, systematic, and early screening of undernutrition and promote the rational and early initiation of optimal nutritional support, thereby contributing to reducing malnutrition-induced morbidity, mortality, worsening of the quality of life, and global health care costs.

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Underweight patients with anorexia nervosa: Comparison of bioelectrical impedance analysis using five equations to dual X-ray absorptiometry

Cited by 28 publications

References 24 publications

Body composition in anorexia nervosa: Meta‐analysis and meta‐regression of cross‐sectional and longitudinal studies

Body composition in anorexia nervosa: Meta‐analysis and meta‐regression of cross‐sectional and longitudinal studies

Prediction of body composition in anorexia nervosa: Results from a retrospective study

The Evaluation of Body Composition: A Useful Tool for Clinical Practice

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