Holmbäck Isabel, Ericson Ulrika, Gullberg Bo, Wirfält Elisabet
Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
Food Nutr Res. 2009 Sep 9;53:1970. doi: 10.3402/fnr.v53i0.1970.
Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconomic factors, and energy misreporting. DESIGN: A cross-sectional study within the Malmö Diet and Cancer (MDC) cohort. Participants reported on the overall types and frequency of meals consumed, and completed a modified dietary history, a lifestyle and socioeconomic questionnaire, and anthropometric measurements. Based on the reported intake of six different meal types, meal pattern groups were distinguished using Ward's cluster analysis. Associations between meal patterns and nutrient intakes, anthropometric, lifestyle and socioeconomic variables were examined using the chi(2)-method and analysis of variance. SUBJECTS: A sub-sample of the MDC study cohort (n=28,098), consisting of 1,355 men and 1,654 women. RESULTS: Cluster analysis identified five groups of subjects with different meal patterns in both men and women. These meal pattern groups differed regarding nutrient intakes, lifestyle and socioeconomic factors. Subjects reporting frequent coffee meals were more likely to report an 'unhealthy' lifestyle, e.g. smoking, high alcohol consumption and low physical activity, while those with a fruit pattern reported a more 'healthy' lifestyle. Women were more likely to underreport their energy intake than men, and the degree of underreporting varied between the meal pattern groups. CONCLUSIONS: The meal pattern groups showed significant differences in dietary quality and socioeconomic and lifestyle variables. This supports previous research suggesting that diet is part of a multifaceted phenomenon. Incorporation of aspects on how foods are combined and eaten into public health advices might improve their efficiency.
研究进餐模式与营养摄入、生活方式、社会经济因素以及能量摄入误报之间的关联。
在马尔默饮食与癌症(MDC)队列中进行的一项横断面研究。参与者报告所食用餐食的总体类型和频率,并完成一份改良的饮食史、一份生活方式和社会经济调查问卷以及人体测量。根据报告的六种不同餐食类型的摄入量,使用沃德聚类分析区分进餐模式组。使用卡方检验和方差分析研究进餐模式与营养摄入、人体测量、生活方式和社会经济变量之间的关联。
MDC研究队列的一个子样本(n = 28,098),由1355名男性和1654名女性组成。
聚类分析在男性和女性中均识别出五组具有不同进餐模式的受试者。这些进餐模式组在营养摄入、生活方式和社会经济因素方面存在差异。报告频繁食用咖啡餐的受试者更有可能报告“不健康”的生活方式,例如吸烟、高酒精摄入量和低体力活动,而具有水果模式的受试者报告的生活方式则更“健康”。女性比男性更有可能少报能量摄入量,且少报程度在进餐模式组之间有所不同。
进餐模式组在饮食质量、社会经济和生活方式变量方面存在显著差异。这支持了先前的研究,表明饮食是一个多方面现象的一部分。将食物如何组合和食用的方面纳入公共卫生建议可能会提高其有效性。