J 2023

Comparison of social gradient in cardiometabolic health in Czechia and Venezuela: a cross-sectional study

BARTOŠKOVÁ, Anna, Ramfis NIETO-MARTINEZ, Jeffrey I. MECHANICK, Geraldo A. MARANHAO NETO, Maria M. INFANTE-GARCIA et. al.

Základní údaje

Originální název

Comparison of social gradient in cardiometabolic health in Czechia and Venezuela: a cross-sectional study

Autoři

BARTOŠKOVÁ, Anna, Ramfis NIETO-MARTINEZ, Jeffrey I. MECHANICK, Geraldo A. MARANHAO NETO, Maria M. INFANTE-GARCIA, Hynek PIKHART, Martin BOBÁK, Jose MEDINA-INOJOSA a Juan P. GONZALEZ-RIVAS

Vydání

BMJ Open, London, BMJ Publishing Group, 2023, 2044-6055

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Organizace

Přírodovědecká fakulta – Masarykova univerzita – Repozitář

UT WoS

000991974800083

EID Scopus

2-s2.0-85150666532

Klíčová slova anglicky

cardiovascular health study; Czechia; Venezuela; cardiovascular risk factors

Návaznosti

EF17_043/0009632, projekt VaV. LX22NPO5104, projekt VaV. 857487, interní kód Repo. 857560, interní kód Repo. RECETOX RI, velká výzkumná infrastruktura.
Změněno: 10. 3. 2024 03:40, RNDr. Daniel Jakubík

Anotace

V originále

Objectives: This study compared the relationships of social determinants with cardiometabolic risk in different socioeconomic contexts: sociopolitically unstable Venezuela (VE) and stable Czechia (CZ).Design: cross-sectional analysis involving two population-based studies. Setting: Brno, Czechia and 23 cities of Venezuela. Participants: 25-64 years old subjects from CZ (2013-2014, n=1579, 56% females) and VE (2014-2017, n=1652, 70% females). Main outcome measures: The composite cardiometabolic risk score (CMRS) (scaled 0-8) was calculated using eight biomarkers (body mass index, waist circumference, blood glucose, systolic and diastolic blood pressure, total and high-density lipoprotein-cholesterol, triglycerides). Social characteristics included education in both countries, income in CZ and a composite measure of social position (SP) in VE. Sex stratified ordinal regression examined the social gradient in having less favourable CMRS. Results: In CZ, men and women with low education and women with low income had higher odds of higher CMRS compared with those with high education and income with OR 1.45 (95% CI 1.01 to 2.21), 2.29 (95% CI 1.62 to 3.24) and 1.69 (95% CI 1.23 to 2.35). In VE, women with low education and low SP had higher odds to have higher CMRS OR 1.47 (95% CI 1.09 to 1.97) and 1.51 (95% CI 1.16 to 1.97), while men with low education and low SP had lower odds to have higher CMRS OR 0.64 (95% CI 0.41 to 1.00) and 0.61 (95% CI 0.40 to 0.97), compared with those with high education and high SP. Independently of age, sex and socioeconomic characteristics, Venezuelans had higher odds to have higher CMRS than Czechs (OR 2.70; 95%CI 2.37 to 3.08). Conclusions: The results suggest that the associations of socioeconomic status indices and cardiometabolic risk differed between CZ and VE, likely reflecting differences in the social environment among countries. Further research is needed to confirm and quantify these differences.

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