Expected Body Weight in Adolescents: Comparison Between Weight-for-Stature and BMI Methods

Golden, Neville H.; Yang, Wei; Jacobson, Mark Z.; Robinson, Thomas N.; Shaw, Gary M.

doi:10.1542/peds.2012-0897

Cited by 13 publications

(6 citation statements)

References 22 publications

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“…91 In addition, BMI values in adolescents with eating disorders (or underweight adolescents) can result in an underestimation of the degree of malnutrition. 92 Although there are normative data for body fat percentage, there are no established recommendations regarding body composition in children and adolescents. 93 Body fat percentage varies by age.…”

Section: Weight Bmi and Body Composition Measurementsmentioning

confidence: 99%

Promotion of Healthy Weight-Control Practices in Young Athletes

et al. 2017

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Children and adolescents may participate in sports that favor a particular body type. Some sports, such as gymnastics, dance, and distance running, emphasize a slim or lean physique for aesthetic or performance reasons. Participants in weight-class sports, such as wrestling and martial arts, may attempt weight loss so they can compete at a lower weight class. Other sports, such as football and bodybuilding, highlight a muscular physique; young athletes engaged in these sports may desire to gain weight and muscle mass. This clinical report describes unhealthy methods of weight loss and gain as well as policies and approaches used to curb these practices. The report also reviews healthy strategies for weight loss and weight gain and provides recommendations for pediatricians on how to promote healthy weight control in young athletes.

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Section: Weight Bmi and Body Composition Measurementsmentioning

confidence: 99%

Promotion of Healthy Weight-Control Practices in Young Athletes

et al. 2017

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“…However, those below the cut-offs differed for BMD Z scores across all sites from controls and AN above the cutoffs. Of note, weight-for-stature and BMI methods for determining EBW yield distinct results, with EBW based on BMI being consistently lower and possibly underestimating the degree of malnutrition, particularly in very tall girls (Golden, Yang, Jacobson, et al, 2012). This may reduce the capability of cut-offs based on %mBMI to pick up medical morbidity associated with AN, and that %EBW-Ht may better estimate nutritional status in tall girls.…”

Section: Discussionmentioning

confidence: 99%

Impact of low‐weight severity and menstrual status on bone in adolescent girls with anorexia nervosa

Kandemir

Becker

Slattery

et al. 2017

Intl J Eating Disorders

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Objective Clinicians currently use different low-weight cut-offs both to diagnose anorexia nervosa (AN) and to determine AN severity in adolescent girls. The purpose of this study was to evaluate the clinical utility of existing cut-offs and severity criteria by determining which are most strongly associated with risk for low bone mineral density (BMD). Methods Height adjusted BMD Z-scores were calculated for 352 females: 262 with AN and 90 healthy controls (controls) (12–20.5 years), using data from the BMD in Childhood Study, for the lumbar spine, whole body less head, and total hip. Results For most cut-offs used to define low weight (5th or 10th BMI percentile, BMI of 17.5 or 18.5, and 85% or 90% of median BMI), AN had lower BMD Z-scores than controls. AN at >85 or >90% expected body weight for height (EBW-Ht) did not differ in BMD Z-scores from controls, but differed significantly from AN at ≤85 or ≤90% EBW-Ht. Among AN, any amenorrhea was associated with lower BMD. AN had lower BMD than controls across DSM-5 and The Society for Adolescent Health and Medicine (SAHM) severity categories. The SAHM moderate severity classification was differentiated from the mildly malnourished classification by lower BMD at hip and spine sites. Discussion Amenorrhea and %EBW-Ht ≤ 85 or ≤ 90% are markers of severity of bone loss within AN. Among severity categories, BMI Z-scores (SAHM) may have the greatest utility in assessing the degree of malnutrition in adolescent girls that corresponds to lower BMD.

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“…Another limitation is that direct height-weight data were not available at all statures, so age-based data were used to synthesize weight-from-height over these ranges. The age-mapping applied is equivalent to that of the McLaren method, which has 2 main limitations identified [23, 37, 38]: (1) it does not recognize age-related variation, of importance to nutrition assessment but less relevant to lean body weight estimation, and (2) it cannot offer prediction above the tallest median height, which is resolved in the MBW model by linear extrapolation at taller heights. The notion of mapping 50 th centile height to 50 th centile weight is broadly accepted, in contrast to doing so further from the median (as inherent to the Moore estimation method) [37, 38].…”

Section: Discussionmentioning

confidence: 99%

Predicted body weight relationships for protective ventilation – unisex proposals from pre-term through to adult

Martin

Richards

2017

BMC Pulm Med

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BackgroundThe lung-protective ventilation bundle has been shown to reduce mortality in adult acute respiratory distress syndrome (ARDS). This concept has expanded to other areas of acute adult ventilation and is recommended for pediatric ventilation. A component of lung-protective ventilation relies on a prediction of lean body weight from height. The predicted body weight (PBW) relationship employed in the ARDS Network trial is considered valid only for adults, with a dedicated formula required for each sex. No agreed PBW formula applies to smaller body sizes. This analysis investigated whether it might be practical to derive a unisex PBW formula spanning all body sizes, while retaining relevance to established adult protective ventilation practice.MethodsHistoric population-based growth charts were adopted as a reference for lean body weight, from pre-term infant through to adult median weight. The traditional ARDSNet PBW formulae acted as the reference for prevailing protective ventilation practice. Error limits for derived PBW models were relative to these references.ResultsThe ARDSNet PBW formulae typically predict weights heavier than the population median, therefore no single relationship could satisfy both references. Four alternate piecewise-linear lean body-weight predictive formulae were presented for consideration, each with different balance between the objectives.ConclusionsThe ‘PBWuf + MBW’ model is proposed as an appropriate compromise between prevailing practice and simplification, while also better representing lean adult body-weight. This model applies the ARDSNet ‘female’ formula to both adult sexes, while providing a tight fit to median body weight at smaller statures down to pre-term. The ‘PBWmf + MBW’ model retains consistency with current practice over the adult range, while adding prediction for small statures.Electronic supplementary materialThe online version of this article (doi:10.1186/s12890-017-0427-1) contains supplementary material, which is available to authorized users.

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Expected Body Weight in Adolescents: Comparison Between Weight-for-Stature and BMI Methods

Cited by 13 publications

References 22 publications

Promotion of Healthy Weight-Control Practices in Young Athletes

Promotion of Healthy Weight-Control Practices in Young Athletes

Impact of low‐weight severity and menstrual status on bone in adolescent girls with anorexia nervosa

Predicted body weight relationships for protective ventilation – unisex proposals from pre-term through to adult

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