Evidence map›Paper›PMID 36788809›Full record

ArticlePeerJ2023

Epidemiological correlates of overweight and obesity in the Northern Cape Province, South Africa.

Mackenzie H Smith, Justin W Myrick, Oshiomah Oyageshio, Caitlin Uren, Jamie Saayman, Sihaam Boolay, Lena van der Westhuizen, Cedric Werely, Marlo Möller, Brenna M Henn and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Strong Effect of Demographic Changes on Tuberculosis Susceptibility in South Africa.medRxiv : the preprint server for health sciences · 2023
    Article
  7. Multimorbidity in South Africa: Is the health system ready?Journal of multimorbidity and comorbidity
    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

11 authors at 3 institutions in 2 countries.

Mackenzie H SmithDepartment of Anthropology, Baylor University, Waco, United States.
Justin W MyrickDepartment of Anthropology and UC Davis Genome Center, University of California, Davis, Davis, United States.
Oshiomah OyageshioCenter for Population Biology, University of California, Davis, Davis, United States.
Caitlin UrenDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town, South Africa.
Jamie SaaymanDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town, South Africa.
Sihaam BoolayDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town, South Africa.
Lena van der WesthuizenDepartment of Anthropology and UC Davis Genome Center, University of California, Davis, Davis, United States.
Cedric WerelyDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town, South Africa.
Marlo MöllerDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, University of Stellenbosch, Cape Town, South Africa.ORCID 0000-0002-0805-6741
Brenna M HennDepartment of Anthropology and UC Davis Genome Center, University of California, Davis, Davis, United States.
Austin W ReynoldsDepartment of Anthropology, Baylor University, Waco, United States.
South African Medical Research Council · ZAUniversity of California, Davis · USBaylor University · US

Funding

Supplement: Improving Inference of Genetic Architecture and Selection with African GenomesR35GM133531 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HENN, BRENNA M · 2019 to 2023
$2.3M
NIGMS NIH HHS R35 GM133531
6 · The paper itself

Abstract

Background: In the past several decades, obesity has become a major public health issue worldwide, associated with increased rates of chronic disease and death. Like many developing nations, South Africa is experiencing rapid increases in BMI, and as a result, evidence-based preventive strategies are needed to reduce the increasing burden of overweight and obesity. This study aimed to determine the prevalence and predictors of overweight and obesity among a multi-ethnic cohort from the rural Northern Cape of South Africa. Methods: These data were collected as part of a tuberculosis (TB) case-control study, with 395 healthy control participants included in the final analysis. Overweight and obesity were defined according to WHO classification. Multivariate linear models of BMI were generated using sex, age, education level, smoking, alcohol consumption, and diabetes as predictor variables. We also used multivariable logistic regression analysis to assess the relationship of these factors with overweight and obesity. Results: The average BMI in our study cohort was 25.2. The prevalence of overweight was 18.0% and the prevalence of obesity was 25.0%. We find that female sex, being older, having more years of formal education, having diabetes, and being in a rural area are all positively associated with BMI in our dataset. Women (OR = 5.6, 95% CI [3.3-9.8]), rural individuals (OR = 3.3, 95% CI [1.9-6.0]), older individuals (OR = 1.02, 95% CI [1-1.04]), and those with more years of education (OR = 1.2, 95% CI [1.09-1.32]) were all more likely to be overweight or obese. Alternatively, being a smoker is negatively associated with BMI and decreases one's odds of being overweight or obese (OR = 0.28, 95% CI [0.16-0.46]). Conclusions: We observed a high prevalence of overweight and obesity in this study. The odds of being overweight and obese were higher in women, those living in rural areas, and those with more education, and increases with age. Community-based interventions to control obesity in this region should pay special attention to these groups.

Indexed as

ObesityOverweightBody Mass IndexCase-Control StudiesFemaleHumansRisk FactorsSouth AfricaEpidemiologyGlobal healthObesitySouth Africa

Identifiers

PMID36788809
PMCPMC9922494
OpenAlexW4319751402

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.