Ghent University, Department of Agricultural Economics, Coupure Links 653, B-9000 Ghent, Belgium.
Appetite. 2010 Feb;54(1):156-62. doi: 10.1016/j.appet.2009.10.001. Epub 2009 Oct 14.
This paper's objective is to investigate the associations between obesity and Food-Related Lifestyles (FRL) in five European countries. A cross-sectional web-based survey was carried out in Belgium, Denmark, Germany, Greece and Poland, January 2008, with quota samples on gender (male, female), age categories (20-44 and 45-70 years), and locality of residence (urban, rural). A total of 2437 respondents (51% women, 49% men; mean age 41.4 years, SD 13.1) participated. Obtained data included socio-demographic information, measure of the food-related lifestyle scale and self-reported weights and heights. Body Mass Index (in kg/m(2)) was calculated as weight (in kg) divided by the squared height (in m(2)). Individuals were classified as obese if BMI > or = 30. Logistic regressions were fitted for the aggregated sample and then by country with obese as dependent and socio-demographics and FRL were included as independents. The prevalence of obesity in the five countries is 22%. Europeans giving more importance to 'self-fulfilment' (odds = 1.18), 'planning of meals' (odds = 1.15), and preferring 'snacks vs. meals' (odds = 1.24) are more likely to be obese. Respondents were less likely to be obese if they attached lower levels of importance to the use of 'shopping lists' (odds = 0.87). The overall picture is that a stronger interest in health, organic products and freshness, within the FLR domain of quality aspects, is associated with 'not being obese'. This study has identified specific FRL dimensions as potential predictors of obesity. The resulting consumers' profiling can be used for targeted interventions for weight management in Europe.
本文旨在研究五个欧洲国家中肥胖与饮食生活方式（FRL）之间的关系。2008 年 1 月在比利时、丹麦、德国、希腊和波兰进行了一项基于网络的横断面调查，采用性别（男性、女性）、年龄组（20-44 岁和 45-70 岁）和居住地（城市、农村）配额抽样。共有 2437 名受访者（51%为女性，49%为男性；平均年龄为 41.4 岁，标准差为 13.1）参与了研究。获得的数据包括社会人口统计学信息、饮食生活方式量表测量值以及自我报告的体重和身高。体重指数（BMI）以体重（kg）除以身高（m）的平方计算。BMI 大于或等于 30 的个体被归类为肥胖。对总样本进行逻辑回归分析，然后按国家进行分析，以肥胖为因变量，社会人口统计学和饮食生活方式为自变量。五个国家的肥胖患病率为 22%。在五个国家中，更重视“自我实现”（优势比=1.18）、“计划膳食”（优势比=1.15）和更喜欢“零食而非正餐”（优势比=1.24）的欧洲人更有可能肥胖。如果受访者对使用“购物清单”的重视程度较低（优势比=0.87），则不太可能肥胖。总的来说，在饮食生活方式领域的质量方面，对健康、有机产品和新鲜度的更大兴趣与“不肥胖”有关。这项研究确定了特定的饮食生活方式维度，这些维度可能是肥胖的预测因素。由此产生的消费者特征分析可用于欧洲的体重管理目标干预。
