Evidence Hub

Prevalence of Metabolic Syndrome and Associated Factors in Primary School Teachers: a Systematic Review Aligned with SDG-3 (Good Health and Well-being)

Regina Terezinha Borini dos Santos, Ricelli Endrigo Ruppel da Rocha

Journal of Lifestyle and SDGs Review, 2026

Abstract

Objective: To synthesize the evidence available in the literature on the prevalence of metabolic syndrome and associated factors in basic education teachers.

Theoretical Framework: Metabolic Syndrome corresponds to a set of interrelated risk factors, including central obesity, high blood pressure, dyslipidemia, and hyperglycemia, which increase the risk of developing cardiovascular diseases and diabetes mellitus. Among teachers, working conditions, occupational stress, and unhealthy lifestyle habits have contributed to the worsening of this condition.

Method: Systematic review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, in the PubMed, BVS, SciELO, Capes Journals, Scopus, and Web of Science databases, covering publications between 2010 and 2020.

Results and Discussion: The prevalence of Metabolic Syndrome was 28.8% among teachers, with central obesity (42.7%) being the most frequent component and high blood glucose (13.5%) being the least common. The main associated factors included age over 40 years, gender, indigenous ethnicity, family history of diabetes mellitus and hypertension, short sleep duration, daily consumption of soft drinks, overweight, low cardiovascular fitness, and reduced levels of physical activity. It is concluded that Metabolic Syndrome is a relevant public health problem among basic education teachers, highlighting the need for health promotion and disease prevention strategies aligned…

How strong is the evidence?

Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free