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Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations

机译:中欧体重指数类别的代谢健康决定因素:瑞士和捷克人群的比较

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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 (~6000 participants; Lausanne, Switzerland) and the Kardiovize Brno 2030 (~2000 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.
机译:各国之间的比较可以帮助识别心脏差异健康中不平等的机会。目前的横截面分析和元分析旨在解决肥胖特征,社会经济和行为因素在多大程度上,社会经济和行为因素在中欧的两种城市人口的样本中跨体重指数(BMI)类别的代谢健康状况不佳。来自COLAUS的数据(〜6000名参与者;洛桑,瑞士)和Kardiovize Brno 2030(〜2000名参与者; Brno,捷克共和国)队列。对于每个群组,进行逻辑回归分析,以确定整体和体重指数(BMI)类别的代谢健康状况不佳的主要决定因素。然后将每个群组的结果组合在Meta分析中。我们首先观察到腰围和体脂肿块与代谢健康有关,特别是在非肥胖的人中。此外,增加年龄,是男性,具有低介质教育水平,腹部肥胖和高体脂肿块是两种队列中代谢不健康型材的主要决定因素。 BMI类别分层的Meta分析确认了之前的BMI类别略有差异。事实上,增加年龄和雄性是代谢健康状况不佳的主要决定因素,与肥胖状态无关。相比之下,低教育水平和目前的吸烟与非肥胖个体的代谢健康状况不佳。符合肥胖和相关合并症的公共卫生战略应旨在改善社会条件,并在代谢障碍进展之前促进健康的生活方式。

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