Evidence map›Paper›PMID 29329600›Full record

ArticleBMC research notes2018

Optimal waist circumference cut-off points for predicting metabolic syndrome among low-income black South African adults.

Eyitayo Omolara Owolabi, Daniel Ter Goon, Oladele Vincent Adeniyi, Anthony Idowu Ajayi

Abstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Prevalence of metabolic syndrome among adults treated at a district hospital outpatient department.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. No Association BetweenDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  8. Article
  9. A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults.European journal of investigation in health, psychology and education · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Obesity Indices to Use for Identifying Metabolic Syndrome among Rural Adults in South Africa.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Metabolic Syndrome Among Working Adults in Eastern Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Eyitayo Omolara OwolabiDepartment of Nursing Science, Faculty of Health Sciences, University of Fort Hare, East London, South Africa. owolabiomolara101@gmail.com.ORCID http://orcid.org/0000-0001-5575-7842
Daniel Ter GoonDepartment of Nursing Science, Faculty of Health Sciences, University of Fort Hare, East London, South Africa.
Oladele Vincent AdeniyiDepartment of Family Medicine, Faculty of Health Sciences, Walter Sisulu University, Cecilia Makiwane Hospital, East London Hospital Complex, East London, South Africa.
Anthony Idowu AjayiDepartment of Sociology, Faculty of Social Science and Humanities, University of Fort Hare, East London, South Africa.

Funding

Health and Welfare Sector Education and Training Authority P838National Research Foundation SFH15071612676
6 · The paper itself

Abstract

objectiveWaist circumference has been identified as one of the strongest predictive tool for metabolic syndrome. This study determines the optimal cut-off point of waist circumference for metabolic syndrome among low-income earning South African black population, in Eastern Cape, South Africa. The optimal waist circumference cut-off point was determined through receiver operating characteristics analysis using the maximum Youden index.

resultsAmong men, waist circumference at a cut-off value of 95.25 cm yielded the highest Youden index of 0.773 (sensitivity = 98%, specificity = 79%, area under curve 0.893). For women, waist circumference of 89.45 cm yielded the highest Youden index of 0.339 (sensitivity = 88%, specificity = 46%, area under curve 0.713). The prevalence of metabolic syndrome among men, women and both sexes using the new cut-off points were: 17.8, 20.8 and 17.7%, respectively, compared to; 15.6, 24.8 and 21.8%, using the traditional cut-off values of 94 and 80 cm for men and women, respectively. The traditional waist circumference value slightly under-estimated the prevalence of metabolic syndrome among men and over-estimated among women and the overall population. A specific waist circumference cut-off point for South African blacks is needed for correct identification of the metabolic state of the populace in order to develop appropriate interventions.

Indexed as

AdolescentAdultAgedBlack PeopleFemaleHumansMaleMetabolic SyndromeMiddle AgedPovertyReference ValuesSouth AfricaWaist CircumferenceYoung AdultAbdominal obesityAfricansMetabolic syndromeROC curvesSouth AfricansYouden index

Identifiers

PMID29329600
PMCPMC5766973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.