Evidence map›Paper›PMID 41765912›Full record

ArticleBMC public health2026

Associations of sociodemographic factors and lifestyle behaviors with the risk of cardiometabolic disease: a population-based study from the European health interview survey in Hungary.

Chau Minh Nguyen, Salome Zurashvili, Amr Sayed Ghanem, Rainer Pier Paolo Ambrocio, Marianna Móré, Attila Csaba Nagy

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Chau Minh Nguyen *Department of Epidemiology, Institute of Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary. nagy.attila@etk.unideb.hu.
Salome Zurashvili *Department of Epidemiology, Institute of Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Amr Sayed GhanemDepartment of Epidemiology, Institute of Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Rainer Pier Paolo AmbrocioDepartment of Epidemiology, Institute of Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Marianna MóréInstitute of Social and Sociological Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.
Attila Csaba NagyDepartment of Epidemiology, Institute of Health Sciences, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary. attilanagy@med.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic diseases (CMDs), including cardiovascular diseases (CVD), type 2 diabetes mellitus (T2DM), and metabolic syndrome, are major global health concerns. In Hungary, CVD mortality remains above the OECD average, and diabetes prevalence is increasing. This study examines the association between sociodemographic and lifestyle factors and the risk of CMDs among Hungarian adults, using population-based data collected between 2009 and 2019.

methodsA repeated cross-sectional design was used to analyze data from the European Health Interview Survey (EHIS) in Hungary for the years 2009, 2014, and 2019 (n = 16,480). CMD was defined as self-reported diagnosis of both CVD and diabetes. Weighted proportions, Pearson's chi-squared tests, and multiple binary logistic regression models were applied to identify associations between CMD and sociodemographic (sex, age, education, employment, income, residence), behavioral (BMI, smoking, alcohol use), and clinical risk factors (hypertension, hypercholesterolemia). Predicted probabilities were estimated using marginal effects.

resultsPrevalence of CMD fell by 27% in 2019 (OR = 0.73 [0.57-0.94], P = 0.013), with predicted probability declining from 5.6% to 4.1%. Younger age (< 35: OR = 0.01, P < 0.001; 35-64: OR = 0.68, P = 0.002), female sex (OR = 0.65, P < 0.001), and employment (OR = 0.32, P < 0.001) were protective. CMD risk was higher in urban areas (OR = 1.44, P = 0.048), alcohol users (OR = 1.35, P = 0.004), those with hypertension (OR = 3.83, P < 0.001), hypercholesterolemia (OR = 3.10, P < 0.001), mental illness (OR = 1.49, P = 0.027), and depression (OR = 1.63, P = 0.001). Normal BMI reduced risk (OR = 0.48, P < 0.001).

conclusionThe prevalence of CMD in Hungary decreased between 2009 and 2019, indicating progress in prevention and risk factor management. However, disparities persist among older adults, men, and urban residents. Targeted screening, lifestyle interventions, and mental health support are essential to strengthen the management of cardiometabolic diseases.

Indexed as

Cardiovascular DiseasesLife StyleMetabolic SyndromeAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansHungaryMaleMiddle AgedPrevalenceRisk FactorsSociodemographic FactorsSocioeconomic FactorsCardiometabolic diseasesCardiovascular diseasesDiabetesHypertensionRisk factors

Identifiers

PMID41765912
PMCPMC13059354

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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.