Evidence map›Paper›PMID 25879922›Full record

ArticleBMC pediatrics2015

Concordance of obesity classification between body mass index and percent body fat among school children in Saudi Arabia.

Abdulrahman Al-Mohaimeed, Saifuddin Ahmed, Khadiga Dandash, Mohammed Saleh Ismail, Nazmus Saquib

Abstract read
In one paragraph

Article in BMC pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. A systematic review of obesity burden in Saudi Arabia: Prevalence and associated co-morbidities.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Association of glutathione S-transferaseJRSM cardiovascular disease
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abdulrahman Al-MohaimeedFamily and Community Medicine Department, College of Medicine, Qassim University, Qassim, Saudi Arabia. armoh@qumed.edu.sa.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health and Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. sahmed@jhsph.edu.
Khadiga DandashFamily and Community Medicine Department, College of Medicine, Qassim University, Qassim, Saudi Arabia. khadigadandash@qumed.edu.sa.
Mohammed Saleh IsmailFood Science & Human Nutrition Department, College of Agriculture and Veterinary, Qassim University, Qassim, Saudi Arabia. drmohsaleh@yahoo.com.
Nazmus SaquibCollege of Medicine, Sulaiman AlRajhi Colleges, Al Bukairyah 51941, Kingdom of Saudi Arabia, PO Box 777, Al-Qassim, Saudi Arabia. a.saquib@sr.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Saudi Arabia, where childhood obesity is a major public health issue, it is important to identify the best tool for obesity classification. Hence, we compared two field methods for their usefulness in epidemiological studies.

methodsThe sample consisted of 874 primary school (grade I-IV) children, aged 6-10 years, and was obtained through a multi-stage random sampling procedure. Weight and height were measured, and BMI (kg/m(2)) was calculated. Percent body fat was determined with a Futrex analyzer that uses near infrared reactance (NIR) technology. Method specific cut-off values were used for obesity classification. Sensitivity, specificity, positive and negative predictive values were determined for BMI, and the agreement between BMI and percent body fat was calculated.

resultsCompared to boys, the mean BMI was higher in girls whereas the mean percent body fat was lower (p-values < 0.0001). According to BMI, the prevalence of overweight or obesity was significantly higher in girls (34.3% vs. 17.3%); as oppose to percent body fat, which was similar between the sexes (6.6% vs. 7.0%). The sensitivity of BMI to classify overweight or obesity was high (boys = 93%, girls = 100%); and its false-positive detection rate was also high (boys = 63%, girls = 81%). The agreement rate was low between these two methods (boys = 0.48, girls =0.24).

conclusionsThere is poor agreement in obesity classification between BMI and percent body fat, using NIR method, among Saudi school children.

Indexed as

Body Fat DistributionBody Mass IndexSpectroscopy, Near-InfraredAge FactorsChildFemaleHumansMaleOverweightPediatric ObesityPrevalenceSaudi ArabiaSensitivity and SpecificitySex Factors

Identifiers

PMID25879922
PMCPMC4355549

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.