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BMI z-score in obese children is a poor predictor of adiposity changes over time

Overview of attention for article published in BMC Pediatrics, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog
twitter
9 tweeters

Citations

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29 Dimensions

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94 Mendeley
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Title
BMI z-score in obese children is a poor predictor of adiposity changes over time
Published in
BMC Pediatrics, June 2018
DOI 10.1186/s12887-018-1160-5
Pubmed ID
Authors

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

Abstract

The age and sex standardized body mass index (BMIz) is a simple and widely utilized screening tool for obesity in children and adolescents. The purpose of this study was to evaluate the relationship between the BMIz trajectory versus the percent body fat (%FAT) trajectory, and if BMIz could predict significant changes in %FAT in a sample of obese children and adolescents. In this longitudinal observational study, body composition was measured by dual energy x-ray absorptiometry (DXA) in obese children within a multidisciplinary pediatric fitness clinic at an academic medical center over a 3-year time period. Regression analyses were conducted to evaluate the association between changes in BMIz and changes in %FAT. Baseline assessment was obtained from 515 participants. The reduction observed in BMIz (2.20 to 2.08, p < 0.0001) correlated with the reduction in %FAT (38.5 to 35.8%, p < 0.05) in the first two years. The overall correlation between the slope in BMIz reduction versus %FAT reduction was moderate (r = 0.36, p < 0.0001) over the 3-year follow-up period. The sensitivity of BMIz changes for predicting a decrease in %FAT was acceptable (70, 95% CI: 61-78%), however the specificity was poor (42, 95% CI: 31-54%). These findings advance the understanding of the utility and limitations of BMIz in children and adolescents. While BMIz may be sensitive to changes in adiposity, it is a weak predictor of these changes in total body fat (%FAT) due to the poor specificity. Therefore, clinicians must exercise caution when monitoring changes in a growing child's body composition to avoid misclassifying or missing substantial change when utilizing BMIz alone.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 16%
Student > Master 14 15%
Student > Ph. D. Student 10 11%
Student > Postgraduate 7 7%
Researcher 7 7%
Other 14 15%
Unknown 27 29%
Readers by discipline Count As %
Medicine and Dentistry 16 17%
Nursing and Health Professions 15 16%
Sports and Recreations 7 7%
Agricultural and Biological Sciences 6 6%
Psychology 3 3%
Other 11 12%
Unknown 36 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 November 2021.
All research outputs
#2,195,267
of 19,762,584 outputs
Outputs from BMC Pediatrics
#293
of 2,474 outputs
Outputs of similar age
#50,179
of 294,350 outputs
Outputs of similar age from BMC Pediatrics
#1
of 1 outputs
Altmetric has tracked 19,762,584 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% 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 294,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them