Beverage Consumption Patterns and Their Association with Metabolic Health in Adults from Families at High Risk for Type 2 Diabetes in Europe—The Feel4Diabetes Study

Paris Kantaras, Niki Mourouti, T. Mouratidou, Ekaterini Chatzaki, M. Karaglani, V. Iotova, N. Usheva, I. Rurik, P. Torzsa, Luis A. Moreno, S. Liatis, K. Makrilakis, Yannis Manios
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Abstract

In total, 3274 adults (65.2% females) from six European countries were included in this cross-sectional analysis using data from the baseline assessment of the Feel4Diabetes study. Anthropometric, sociodemographic, dietary and behavioral data were assessed, and the existence of metabolic syndrome (MetS) was recorded. Beverage consumption patterns (BCPs) were derived via principal component analysis. Three BCPs were derived explaining 39.5% of the total variation. BCP1 was labeled as “Alcoholic beverage pattern”, which loaded heavily on high consumption of beer/cider, wine and other spirits; BCP2 was labeled as “High in sugars beverage pattern” that was mainly characterized by high consumption of soft drinks with sugar, juice containing sugar and low consumption of water; and BCP3 was labeled as “Healthy beverage pattern” that was mainly characterized by high consumption of water, tea, fruit juice freshly squeezed or prepacked without sugar and low consumption of soft drinks without sugar. After adjusting for various confounders, BCP2 was positively associated with elevated triglycerides (p = 0.001), elevated blood pressure (p = 0.001) elevated fasting glucose (p = 0.008) and the existence of MetS (p = 0.006), while BCP1 was inversely associated with reduced HDL-C (p = 0.005) and BCP3 was inversely associated with elevated blood pressure (p = 0.047). The establishment of policy actions as well as public health nutritional education can contribute to the promotion of a healthy beverage consumption.
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欧洲 2 型糖尿病高风险家庭成人的饮料消费模式及其与代谢健康的关系--Feel4Diabetes 研究
这项横断面分析共纳入了来自六个欧洲国家的 3274 名成年人(65.2% 为女性),使用的数据来自 Feel4Diabetes 研究的基线评估。对人体测量、社会人口、饮食和行为数据进行了评估,并记录了是否存在代谢综合征(MetS)。通过主成分分析得出了饮料消费模式(BCPs)。得出的三种 BCP 可解释总变异的 39.5%。BCP1 被标记为 "酒精饮料模式",其主要特征是大量饮用啤酒/苹果酒、葡萄酒和其他烈性酒;BCP2 被标记为 "高糖饮料模式",其主要特征是大量饮用含糖软饮料和含糖果汁,而少量饮用水;BCP3 被标记为 "健康饮料模式",其主要特征是大量饮用水、茶、鲜榨果汁或预包装无糖果汁,而少量饮用无糖软饮料。调整各种混杂因素后,BCP2 与甘油三酯升高(p = 0.001)、血压升高(p = 0.001)、空腹血糖升高(p = 0.008)和 MetS 存在(p = 0.006)呈正相关,而 BCP1 与高密度脂蛋白胆固醇降低(p = 0.005)呈反相关,BCP3 与血压升高(p = 0.047)呈反相关。制定政策行动和开展公共卫生营养教育有助于促进健康饮料的消费。
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