Evidence map›Paper›PMID 29071256›Full record

ArticleJournal of public health research2017

Accuracy of the WHO's body mass index cut-off points to measure gender- and age-specific obesity in middle-aged adults living in the city of Rio de Janeiro, Brazil.

Materko Wollner, Benchimol-Barbosa Paulo Roberto, Silva Carvalho Alysson Roncally, Nadal Jurandir, Luis Santos Edil

Abstract read
In one paragraph

Article in Journal of public health research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Metabolic Obesity in People with Normal Body Weight (MONW)-Review of Diagnostic Criteria.International journal of environmental research and public health · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Revising BMI Cut-Off Points for Obesity in a Weight Management Setting in Lebanon.International journal of environmental research and public health · 2020
    Article
  17. Article
  18. Air Pollution as a Cause of Obesity: Micro-Level Evidence from Chinese Cities.International journal of environmental research and public health · 2019
    Article
  19. Review
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.

Materko WollnerBiomedical Engineering Program, COPPE Institute, Federal University of Rio de Janeiro.
Benchimol-Barbosa Paulo RobertoBiomedical Engineering Program, COPPE Institute, Federal University of Rio de Janeiro.
Silva Carvalho Alysson RoncallyBiomedical Engineering Program, COPPE Institute, Federal University of Rio de Janeiro.
Nadal JurandirBiomedical Engineering Program, COPPE Institute, Federal University of Rio de Janeiro.
Luis Santos EdilOswaldo Cruz Foundation, Fernandes Figueira Institute, Department of Food and Nutrition, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObesity is defined by the World Health Organization (WHO) as a disease characterized by the excessive accumulation of body fat. Obesity is considered a public health problem, leading to serious social, psychological and physical problems. However, the appropriate cut-off point of body mass index (BMI) based on body fat percentage (BF%) for classifying an individual as obese in middle-aged adults living in Rio de Janeiro remains unclear. MATERIALS AND

methodsThis was a prospective cross-sectional study comprising of 856 adults (413 men and 443 women) living in Rio de Janeiro, Brazil ranging from 30-59 years of age. The data were collected over a two year period (2010-2011), and all participants were underwent anthropometric evaluation. The gold standard was the percentage of body fat estimated by bioelectrical impedance analysis. The optimal sensitivity and specificity were attained by adjusting BMI cut-off values to predict obesity based on the WHO criteria: BF% >25% in men and >35% in women, according to the receiver operating characteristic curve (ROC) analysis adjusted for age and for the whole group.

resultsThe BMI cut-offs for predicting BF% were 29.9 kg/m

conclusionsThe BMI that corresponded to a BF% previously defining obesity was similar to that of other Western populations for men but not for women. Furthermore, gender and age specific cut-off values are recommended in this population.

Indexed as

body fat percentagebody mass indexObesityreceiver operating characteristic curve

Identifiers

PMID29071256
PMCPMC5641638

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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.