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Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents

Overview of attention for article published in Diabetology & Metabolic Syndrome, April 2015
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Title
Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents
Published in
Diabetology & Metabolic Syndrome, April 2015
DOI 10.1186/s13098-015-0022-7
Pubmed ID
Authors

Henrique Nascimento, Cristina Catarino, Denisa Mendonça, Pedro Oliveira, Ana Inês Alves, Ana Filipa Medeiros, Petronila Rocha Pereira, Carla Rêgo, Helena Ferreira Mansilha, Luísa Aires, Jorge Mota, Alexandre Quintanilha, Alice Santos-Silva, Luís Belo

Abstract

Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovascular risk. The accurate assessment of a child nutritional status using growth-curves can indicate individuals that are either obese or in risk of becoming obese, allowing an early intervention. Moreover, the association between the data obtained from growth-curves with specific metabolic risk factors further highlights the importance of these charts. This study aimed to evaluate the associations between body mass index z-score (BMIzsc), determined using the growth-curves from the Centre for Disease Control and Prevention (CDC) and from the World Health Organization (WHO), with cardiovascular risk factors, represented here by metabolic syndrome (MS) and insulin resistance (IR) related parameters. The study involved 246 obese adolescents (10-18 years, 122 females). MS was defined according to the International Diabetes Federation. IR was considered for HOMA-IR greater than 2.5. No difference between both BMIzsc in identifying MS was noticeable by a ROC analysis. For both indexes the area-under-the-curve increased for older groups, particularly for males. CDC-BMIzsc was the best predictor of MS by logistic regression when all population was considered, however MS was better predicted by WHO-BMIzsc for females and by CDC-BMIzsc for males. Younger girls and older boys were in increased risk for MS. Similar results were obtained for IR. A significant difference between the two BMIzsc regarding their association with MS and IR was not clear, being these associations weaker in younger individuals.

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The data shown below were collected from the profiles of 3 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Researcher 8 14%
Student > Master 8 14%
Student > Ph. D. Student 7 12%
Student > Doctoral Student 5 9%
Other 13 22%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 14 24%
Nursing and Health Professions 6 10%
Sports and Recreations 6 10%
Agricultural and Biological Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 11 19%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 May 2015.
All research outputs
#18,781,379
of 23,940,793 outputs
Outputs from Diabetology & Metabolic Syndrome
#474
of 722 outputs
Outputs of similar age
#185,003
of 267,975 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#16
of 21 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 722 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 267,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.