Evidence map›Paper›PMID 35328910›Full record

ArticleInternational journal of environmental research and public health2022

Comparison of the Ability of Anthropometric Indices to Predict the Risk of Diabetes Mellitus in South African Males: SANHANES-1.

Machoene D Sekgala, Ronel Sewpaul, Maretha Opperman, Zandile J Mchiza

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
1.8field-weighted citation impact, top 16% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Waist-based anthropometric measures and central adiposity-related comorbidities in children.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  5. Role of waist circumferenceZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  6. Article
  7. Article
  8. 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 at 3 institutions in 1 country.

Machoene D SekgalaSchool of Public Health, University of the Western Cape, Bellville 7535, South Africa.ORCID 0000-0002-0311-8480
Ronel SewpaulHuman and Social Capabilities, Human Sciences Research Council, Cape Town 8000, South Africa.ORCID 0000-0002-2523-1222
Maretha OppermanDepartment of Biotechnology and Consumer Science, Cape Peninsula University of Technology, Cape Town 7535, South Africa.ORCID 0000-0001-7649-0980
Zandile J MchizaSchool of Public Health, University of the Western Cape, Bellville 7535, South Africa.
Human Sciences Research Council · ZACape Peninsula University of Technology · ZASouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the sensitivity of body mass index (BMI) to predict the risk of diabetes mellitus (DM) and whether waist circumference (WC), waist-to-hip (WHR) and waist-to-height (WHtR) ratios are better predictors of the risk of DM than BMI in South African men aged 20 years and older. Data from the first South African National Health and Nutrition Examination Survey (SANHANES-1) were used. Overall, 1405 men who had valid HbA1c outcomes were included. The sensitivity, specificity, and optimal cut-off points for predicting DM were determined using the receiver operating characteristic (ROC) curve analysis. A total of 34.6% percent of the study participants were overweight/obese, while 10.5%, 10.4%, 36.6% and 61.0% had HbA1c, WC, WHR and WHtR above the normal reference ranges, respectively. Based on age-adjusted logistic regression analysis, the highest likelihood of DM was observed for those participants who had increased WC and WHtR (odds ratios [OR] were 6.285 (95% CI: 4.136−9.550; p < 0.001) and 8.108 (95% CI: 3.721−17.667; p < 0.001)). The ROC curve analyses for WC, WHR, and WHtR displayed excellent ability to predict the risk of DM, with their areas under the curve (AUC) being 80.4%, 80.2% and 80.8%, respectively. The overall cut-off points to predict the risk of DM for WC, WHR, and WHtR were ≥88.95 cm, ≥0.92, and >0.54, respectively. The ROC analysis for BMI, on the other hand, showed acceptable ability to predict the risk of DM (AUC = 75.6%), with its cut-off point being ≥24.64 kg/m2. Even after stratifying the data by two age groups, WHtR remained a superior index to predict DM, especially in the younger age group. To conclude, no significant differences were observed between the AUC for BMI the AUCs for other indices. However, the AUCs for these indices showed significant excellent ability as opposed to the significant acceptable ability of BMI to predict DM in adult South African men.

Indexed as

Diabetes MellitusWaist-Height RatioAdultBody Mass IndexFemaleGlycated HemoglobinHumansMaleNutrition SurveysRisk FactorsROC CurveSouth AfricaWaist CircumferenceWaist-Hip RatioGlycated Hemoglobinbody mass indexdiabetes mellitusSouth Africawaist circumferencewaist-to-height ratiowaist-to-hip ratio

Identifiers

PMID35328910
PMCPMC8949079
OpenAlexW4220995120

What OpenQuestion holds

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LicenceCC BY
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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.