TY - JOUR
T1 - Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe
T2 - A Comparison Between Swiss and Czech Populations
AU - Kunzova, Sarka
AU - Maugeri, Andrea
AU - Medina-Inojosa, Jose
AU - Lopez-Jimenez, Francisco
AU - Vinciguerra, Manlio
AU - Marques-Vidal, Pedro
N1 - Funding Information:
Funding. This work was supported by the National Program of Sustainability II (MEYS CR) (No. LQ1605) and by the European Regional Development Fund - Project ENOCH (No. CZ.02.1.01/0.0/0.0/16_019/0000868). The CoLaus study was supported by research grants from GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, and the Swiss National Science Foundation (grants 33CSCO-122661, 33CS30-139468, and 33CS30-148401).
Publisher Copyright:
© Copyright © 2020 Kunzova, Maugeri, Medina-Inojosa, Lopez-Jimenez, Vinciguerra and Marques-Vidal.
PY - 2020/4/8
Y1 - 2020/4/8
N2 - Comparisons among countries can help to identify opportunities for the reduction of inequalities in cardiometabolic health. The present cross-sectional analysis and meta-analysis aim to address to what extent obesity traits, socioeconomic, and behavioral factors determine poor metabolic health across body mass index (BMI) categories in two urban population-based samples from Central Europe. Data from the CoLaus (~6,000 participants; Lausanne, Switzerland) and the Kardiovize Brno 2030 (~2,000 participants; Brno, Czech Republic) cohorts. For each cohort, logistic regression analyses were performed to identify the main determinants of poor metabolic health overall and stratified by body mass index (BMI) categories. The results of each cohort were then combined in a meta-analysis. We first observed that waist circumference and body fat mass were associated with metabolic health, especially in non-obese individuals. Moreover, increasing age, being male, having low-medium educational level, abdominal obesity, and high body fat mass were the main determinants of the metabolically unhealthy profile in both cohorts. Meta-analysis stratified by BMI categories confirmed the previous results with slight differences across BMI categories. In fact, increasing age and being male were the main determinants of poor metabolic health independent of obesity status. In contrast, low educational level and current smoking were associated with poor metabolic health only in non-obese individuals. In line, public health strategies against obesity and related comorbidities should aim to improve social conditions and to promote healthy lifestyles before the progression of metabolic disorders.
AB - Comparisons among countries can help to identify opportunities for the reduction of inequalities in cardiometabolic health. The present cross-sectional analysis and meta-analysis aim to address to what extent obesity traits, socioeconomic, and behavioral factors determine poor metabolic health across body mass index (BMI) categories in two urban population-based samples from Central Europe. Data from the CoLaus (~6,000 participants; Lausanne, Switzerland) and the Kardiovize Brno 2030 (~2,000 participants; Brno, Czech Republic) cohorts. For each cohort, logistic regression analyses were performed to identify the main determinants of poor metabolic health overall and stratified by body mass index (BMI) categories. The results of each cohort were then combined in a meta-analysis. We first observed that waist circumference and body fat mass were associated with metabolic health, especially in non-obese individuals. Moreover, increasing age, being male, having low-medium educational level, abdominal obesity, and high body fat mass were the main determinants of the metabolically unhealthy profile in both cohorts. Meta-analysis stratified by BMI categories confirmed the previous results with slight differences across BMI categories. In fact, increasing age and being male were the main determinants of poor metabolic health independent of obesity status. In contrast, low educational level and current smoking were associated with poor metabolic health only in non-obese individuals. In line, public health strategies against obesity and related comorbidities should aim to improve social conditions and to promote healthy lifestyles before the progression of metabolic disorders.
KW - behaviors
KW - metabolism
KW - obesity
KW - public health
KW - social factors
UR - http://www.scopus.com/inward/record.url?scp=85083891386&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083891386&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2020.00108
DO - 10.3389/fpubh.2020.00108
M3 - Article
AN - SCOPUS:85083891386
SN - 2296-2565
VL - 8
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 108
ER -