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瑞典人群中与肥胖相关的饮食模式和食物分量

Eating patterns and portion size associated with obesity in a Swedish population.

作者信息

Berg Christina, Lappas Georgios, Wolk Alicja, Strandhagen Elisabeth, Torén Kjell, Rosengren Annika, Thelle Dag, Lissner Lauren

机构信息

Department of Food Health and Environment, University of Gothenburg, Box 320, SE 405 30 Göteborg, Sweden.

出版信息

Appetite. 2009 Feb;52(1):21-6. doi: 10.1016/j.appet.2008.07.008. Epub 2008 Jul 25.

Abstract

The objective of this study was to describe the association between meal pattern and obesity. The study is based on data from the INTERGENE research programme, and the study population consists of randomly selected women and men, aged 25-74, living in the Västra Götaland Region in Sweden. A total of 3610 were examined. Participants with measured BMI> or =30 were compared with others (BMI<30) with respect to questionnaire data on habitual meal patterns and intake of energy estimated from food frequencies and standard portions. Odds ratios (OR) with 95% confidence intervals were adjusted for age, sex, smoking and physical activity in logistic regression models. Being obese was significantly associated with omitting breakfast, OR 1.41 (1.05-1.90), omitting lunch OR 1.31 (1.04-1.66) and eating at night OR 1.62 (1.10-2.39). Obesity was also related to significantly larger self-reported portion sizes of main meals. No statistically significant relationship with intake of total energy was revealed. Thus, the results indicate that examination of meal patterns and portion sizes might tell us more about obesogenic food patterns than traditional nutrient analyses of food frequencies. Being obese was associated with a meal pattern shifted to later in the day and significantly larger self-reported portions of main meals.

摘要

本研究的目的是描述进餐模式与肥胖之间的关联。该研究基于INTERGENE研究项目的数据,研究人群包括随机选取的年龄在25 - 74岁之间、居住在瑞典韦斯特罗斯-哥德堡地区的男性和女性。总共对3610人进行了检查。将测量的体重指数(BMI)≥30的参与者与其他人(BMI < 30)就关于习惯性进餐模式的问卷数据以及根据食物频率和标准份量估算的能量摄入量进行比较。在逻辑回归模型中,对年龄、性别、吸烟和身体活动因素进行了调整,得出了95%置信区间的比值比(OR)。肥胖与不吃早餐显著相关,OR为1.41(1.05 - 1.90),与不吃午餐相关,OR为1.31(1.04 - 1.66),与夜间进食相关,OR为1.62(1.10 - 2.39)。肥胖还与自我报告的主餐份量显著更大有关。未发现与总能量摄入量存在统计学上的显著关系。因此,结果表明,与传统的食物频率营养分析相比,对进餐模式和份量大小的研究可能会让我们更多地了解致胖食物模式。肥胖与向一天中较晚时间偏移的进餐模式以及自我报告的主餐份量显著更大有关。

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