Associations between education and ideal cardiovascular health metrics across 36 low and middle-income countries

dc.contributor.authorZhang. Y.
dc.contributor.authorTong. G.
dc.contributor.authorAheto. J.M.K.
dc.contributor.authoret al.
dc.date.accessioned2025-07-08T19:46:05Z
dc.date.issued2025
dc.descriptionResearch Article
dc.description.abstractBackground The relationship between education and cardiovascular health (CVH) metrics in low- and middle income countries (LMICs) remains unclear. This study explores the associations between education and ideal cardio vascular health score (CVHS), as well as seven CVH metrics. Methods This cross-sectional study extracted data from the STEPwise approach to surveillance surveys in 36 LMICs between 2010 and 2020. We assessed CVHS using the sum score in seven metrics defned by American Heart Asso ciation: (1)≥150 min/week of moderate, or 75 min/week of vigorous activity, or an equivalent combination; (2) BMI<25 kg/m2 for non-Asians (<23 kg/m2 for Asians); (3) fruit and vegetable intake≥4.5 servings per day; (4) non smoking; (5) blood pressure<120/80 mmHg (untreated); (6) total cholesterol<200 mg/dL (untreated); and (7) fasting blood glucose<100 mg/dL (untreated). The ideal CVHS score ranged from 5 to 7. We disaggregated prevalence of ideal CVHS and seven metrics by education, and constructed Poisson regression models to adjust for other socio economic factors. Results Among 81,327 adult participants, the overall ideal CVHS prevalence for the studied countries was highest among individuals with primary education (52.9%, 95% CI: 51.0–54.9), surpassing those of other education lev els−48.0% (95% CI: 44.6–51.3, P=0.003) for those with no education and 39.1% (95% CI: 36.5–41.8, P<0.001) for those with tertiary education. Five (ideal physical activity, BMI, blood pressure, total cholesterol, and blood glucose) in seven CVH metrics peaked among participants with primary or secondary education. For instance, the prevalence of ideal blood pressure among individuals with primary education was 34.4% (95% CI: 32.7–36.1), higher than the prevalence in other education levels, ranging from 28.6% to 32.3%. These patterns were concentrated in low-income countries and lower-middle-income countries, while in upper-middle-income countries, the prevalence of ideal CVHS increased with higher education levels, ranging from 15.4% for individuals with no education to 33.1% for those with tertiary education. Conclusions In LMICs, the association between education and ideal CVHS, along with several CVH metrics, exhibited un inverted U-shape, which may be closely related to the diferent stages of epidemiologic transition.
dc.identifier.otherhttps://doi.org/10.1186/s12916-025-04032-y
dc.identifier.urihttps://ugspace.ug.edu.gh/handle/123456789/43331
dc.language.isoen
dc.publisherBMC Medicine
dc.subjectEducation
dc.subjectIdeal cardiovascular health score
dc.subjectIdeal cardiovascular health metrics
dc.titleAssociations between education and ideal cardiovascular health metrics across 36 low and middle-income countries
dc.typeArticle

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