Evidence map›Paper›PMID 40478910›Full record

ArticlePLOS global public health2025

Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention.

Nandi Joubert, Larissa Adams, Jan Hattendorf, Jan Degen, Danielle Dolley, Annelie Gresse, Ivan Müller, Siphesihle Nqweniso, Nicole Probst-Hensch, Harald Seelig and 6 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

16 authors.

Nandi JoubertSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-6920-981X
Larissa AdamsDepartment of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa.
Jan HattendorfSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Jan DegenDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-0644-3609
Danielle DolleyDepartment of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0002-7374-9034
Annelie GresseDepartment of Human Nutrition and Dietetics, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0003-2147-7812
Ivan MüllerDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-6397-9979
Siphesihle NqwenisoDepartment of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0001-8793-9624
Nicole Probst-HenschSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Harald SeeligDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-2178-4807
Peter SteinmannSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0003-4800-3019
Rosa du RandtDepartment of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0003-1033-9908
Uwe PühseDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Jürg UtzingerSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Markus GerberDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-6140-8948
Cheryl WalterDepartment of Human Movement Science, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0001-8422-4105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable diseases (NCDs) account for most of global deaths, with rising prevalence in low-and middle-income countries. Metabolic syndrome (MetS) is a cluster of interrelated NCD risk factors, including obesity, dyslipidaemia, hypertension, and hyperglycaemia, that amplify NCD risk. Four leading modifiable factors driving NCDs are physical inactivity, tobacco and alcohol use, and an unhealthy diet. Teachers in under-resourced schools face significant health challenges, with their wellbeing often overlooked in South Africa. The prevalence and severity of MetS, adherence to physical activity guidelines, and associations with modifiable NCD risk factors were assessed. This study, part of the 'KaziBantu: Healthy Schools for Healthy Communities' project, included 168 teachers (aged 21-72, mean = 47 years) from 8 under-resourced schools in Gqeberha, South Africa. Data collection included MetS markers, device-measured physical activity, tobacco and alcohol use, and total fat, saturated fat, sugar, and sodium intake. Covariates included age, sex, race, education, and household income. MetS was observed in 58% of participants, with central obesity (79%) being the most prevalent component, followed by hypertension (59%). The largest proportion of participants (26%) had 3 MetS components, followed by 4 components (20%), while 12% had all 5 components. Nearly half (44%) of teachers were physically inactive and 53% exceeded total fat intake recommendations. Bayesian multilevel logistic regression revealed key predictors of MetS: age (per year increase; odds ratio[OR]=1.15, 95% credible interval[CrI] [1.07, 1.24]) and high daily total fat intake (OR=3.37, 95%CrI [1.03, 11.96]) were positively associated, while hours spent in moderate-to-vigorous intensity physical activity per week (OR=0.73, 95%CrI [0.55, 0.95]) and higher monthly household income (OR=0.14, 95%CrI [0.02, 0.72]) were protective. Addressing physical inactivity and unhealthy diets through tailored interventions is crucial to reducing MetS prevalence and improving the health of teachers working in low-resourced settings. Effective solutions should empower healthier lifestyles while tackling structural barriers to health equity.

Identifiers

PMID40478910
PMCPMC12143548

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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.