Gazan R, Béchaux C, Crépet A, Sirot V, Drouillet-Pinard P, Dubuisson C, Havard S
Risk Assessment Department,French Agency for Food, Environmental and Occupational Health & Safety (ANSES),94701 Maisons-Alfort,France.
Br J Nutr. 2016 Jul;116(2):300-15. doi: 10.1017/S0007114516001549. Epub 2016 May 18.
Identification and characterisation of dietary patterns are needed to define public health policies to promote better food behaviours. The aim of this study was to identify the major dietary patterns in the French adult population and to determine their main demographic, socio-economic, nutritional and environmental characteristics. Dietary patterns were defined from food consumption data collected in the second French national cross-sectional dietary survey (2006-2007). Non-negative-matrix factorisation method, followed by a cluster analysis, was implemented to derive the dietary patterns. Logistic regressions were then used to determine their main demographic and socio-economic characteristics. Finally, nutritional profiles and contaminant exposure levels of dietary patterns were compared using ANOVA. Seven dietary patterns, with specific food consumption behaviours, were identified: 'Small eater', 'Health conscious', 'Mediterranean', 'Sweet and processed', 'Traditional', 'Snacker' and 'Basic consumer'. For instance, the Health-conscious pattern was characterised by a high consumption of low-fat and light products. Individuals belonging to this pattern were likely to be older and to have a better nutritional profile than the overall population, but were more exposed to many contaminants. Conversely, individuals of Snacker pattern were likely to be younger, consumed more highly processed foods, had a nutrient-poor profile but were exposed to a limited number of food contaminants. The study identified main dietary patterns in the French adult population with distinct food behaviours and specific demographic, socio-economic, nutritional and environmental features. Paradoxically, for better dietary patterns, potential health risks cannot be ruled out. Therefore, this study demonstrated the need to conduct a risk-benefit analysis to define efficient public health policies regarding diet.
为了制定促进更健康饮食行为的公共卫生政策,需要对饮食模式进行识别和特征描述。本研究的目的是识别法国成年人群中的主要饮食模式,并确定其主要的人口统计学、社会经济、营养和环境特征。饮食模式是根据法国第二次全国横断面饮食调查(2006 - 2007年)收集的食物消费数据来定义的。采用非负矩阵分解法,随后进行聚类分析,以得出饮食模式。然后使用逻辑回归来确定其主要的人口统计学和社会经济特征。最后,使用方差分析比较饮食模式的营养概况和污染物暴露水平。识别出了七种具有特定食物消费行为的饮食模式:“少食者”、“注重健康者”、“地中海型”、“甜食与加工食品型”、“传统型”、“零食爱好者型”和“基本消费者型”。例如,注重健康的模式以大量食用低脂和清淡产品为特征。属于这种模式的个体可能年龄较大,营养状况比总体人群更好,但接触的污染物更多。相反,零食爱好者型的个体可能较年轻,食用的加工食品更多,营养状况较差,但接触的食物污染物数量有限。该研究识别出了法国成年人群中的主要饮食模式,这些模式具有不同的食物行为以及特定的人口统计学、社会经济、营养和环境特征。矛盾的是,对于更好的饮食模式,潜在的健康风险也不能排除。因此,本研究表明需要进行风险效益分析,以制定有关饮食的有效公共卫生政策。