Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671 Athens, Greece.
Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens, 17671 Athens, Greece.
Nutrients. 2021 Oct 3;13(10):3495. doi: 10.3390/nu13103495.
Dietary and lifestyle habits constitute a significant contributing factor in the formation of anthropometric and biochemical characteristics of overweight and obese populations. The iMPROVE study recruited overweight and obese Greek adults and investigated the effect of gene-diet interactions on weight management when adhering to a six-month, randomized nutritional trial including two hypocaloric diets of different macronutrient content. The present paper displays the design of the intervention and the baseline findings of the participants' dietary habits and their baseline anthropometric and biochemical characteristics.
Baseline available data for 202 participants were analyzed and patterns were extracted via principal component analysis (PCA) on 69-item Food-Frequency Questionnaires (FFQ). Relationships with indices at baseline were investigated by multivariate linear regressions. A Lifestyle Index of five variables was further constructed.
PCA provided 5 dietary patterns. The "Mixed" pattern displayed positive associations with logBMI and logVisceral fat, whereas the "Traditional, vegetarian-alike" pattern was nominally, negatively associated with body and visceral fat, but positively associated with HDL levels. The Lifestyle Index displayed protective effects in the formation of logBMI and logGlucose levels.
Dietary patterns and a Lifestyle Index in overweight and obese, Greek adults highlighted associations between diet, lifestyle, and anthropometric and biochemical indices.
饮食和生活方式习惯是超重和肥胖人群形成人体测量学和生化特征的重要因素。iMPROVE 研究招募了超重和肥胖的希腊成年人,研究了当遵循为期六个月的随机营养试验时,基因-饮食相互作用对体重管理的影响,该试验包括两种不同宏量营养素含量的低热量饮食。本文展示了干预措施的设计以及参与者饮食习惯的基线发现及其基线人体测量学和生化特征。
对 202 名参与者的基线可用数据进行了分析,并通过对 69 项食物频率问卷 (FFQ) 的主成分分析 (PCA) 提取了模式。通过多元线性回归研究了与基线指数的关系。进一步构建了由五个变量组成的生活方式指数。
PCA 提供了 5 种饮食模式。“混合”模式与 logBMI 和 log 内脏脂肪呈正相关,而“传统、素食样”模式与体脂和内脏脂肪呈负相关,但与 HDL 水平呈正相关。生活方式指数在 logBMI 和 log 葡萄糖水平的形成中显示出保护作用。
超重和肥胖的希腊成年人的饮食模式和生活方式指数突出了饮食、生活方式与人体测量学和生化指标之间的关系。