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BMI is a poor predictor of adiposity in young overweight and obese children

Overview of attention for article published in BMC Pediatrics, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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5 news outlets
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132 Dimensions

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Title
BMI is a poor predictor of adiposity in young overweight and obese children
Published in
BMC Pediatrics, June 2017
DOI 10.1186/s12887-017-0891-z
Pubmed ID
Authors

Cassandra Vanderwall, R. Randall Clark, Jens Eickhoff, Aaron L. Carrel

Abstract

The body mass index (BMI) is a simple and widely utilized screening tool for obesity in children and adults. The purpose of this investigation was to evaluate if BMI could predict total fat mass (TFM) and percent body fat (%FAT) in a sample of overweight and obese children. In this observational study, body composition was measured by dual energy x-ray absorptiometry (DXA) in 663 male and female overweight and obese children at baseline within a multidisciplinary, pediatric fitness clinic at an academic medical center. Univariate and multivariate regression analyses were conducted to evaluate whether BMI z-score (BMIz) predicts TFM or %FAT. The BMIz, sex and age of subjects were identified as significant predictors for both TFM and %FAT. In subjects younger than 9 years, the BMIz was a weak to moderate predictor for both TFM (R(2) = 0.03 for males and 0.26 for females) and %FAT (R(2) = 0.22 for males and 0.38 for females). For subjects between 9 and 18 years, the BMIz was a strong predictor for TFM (R(2) between 0.57 and 0.73) while BMIz remained only moderately predictive for %FAT (R(2) between 0.22 and 0.42). These findings advance the understanding of the utility and limitations of BMI in children and adolescents. In youth (9-18y), BMIz is a strong predictor for TFM, but a weaker predictor of relative body fat (%FAT). In children younger than 9y, BMIz is only a weak to moderate predictor for both TFM and %FAT. This study cautions the use of BMIz as a predictor of %FAT in children younger than 9 years.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 242 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 15%
Student > Ph. D. Student 27 11%
Student > Master 27 11%
Researcher 16 7%
Student > Doctoral Student 14 6%
Other 36 15%
Unknown 86 36%
Readers by discipline Count As %
Medicine and Dentistry 51 21%
Nursing and Health Professions 31 13%
Biochemistry, Genetics and Molecular Biology 16 7%
Sports and Recreations 11 5%
Agricultural and Biological Sciences 10 4%
Other 30 12%
Unknown 93 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2024.
All research outputs
#903,091
of 25,608,265 outputs
Outputs from BMC Pediatrics
#71
of 3,479 outputs
Outputs of similar age
#18,363
of 332,269 outputs
Outputs of similar age from BMC Pediatrics
#5
of 40 outputs
Altmetric has tracked 25,608,265 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,479 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,269 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.