Dietary patterns within educational groups and their association with CHD and stroke in the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort
Dietary patterns within educational groups and their association with CHD and stroke in the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort
复制标题
DOI：
10.1017/s0007114518000569
复制
发表时间：
2018-04-28
影响因子：
3.6
通讯作者：
Boer, Jolanda M. A.
中科院分区：
文献类型：
--
作者：
Biesbroek, Sander;Kneepkens, Mirjam C.;Boer, Jolanda M. A.
受过高等教育的人通常有更健康的饮食，但目前还不清楚教育群体中是否存在特定的饮食模式。因此，我们的目的是得出总人口的饮食模式和教育水平，并调查这些模式是否在其组成和与致命性和非致命性冠心病和中风的发病率的关联不同。使用主成分分析法对36418名欧洲癌症和营养前瞻性调查荷兰队列的参与者进行模式分析。自我报告的教育水平被用来创建三个教育组。使用经验证的半定量FFQ估计膳食摄入量。在平均随访16年后，使用考克斯比例风险分析估计风险比。在这三个教育群体中，类似的“西方”，“谨慎”和“传统”模式在总人口中得到了推导。然而，随着教育水平的提高，“西方”和“传统”模式的人口衍生得分降低，谨慎模式的得分较高。这些因素得分分布的差异说明了教育和食物消费之间的联系。调整后，在教育组之间，人群衍生的饮食模式与冠心病或中风发病率之间的关联没有差异（P-交互作用在0.21和0.98之间）。总之，虽然在一般人群和教育群体的饮食模式没有差异，教育群体之间存在的食物组的消费被认为坚持人口衍生的模式（Q4）的参与者的小差异。这并没有导致不同教育群体之间冠心病或中风事件的不同关联。
Higher-educated people often have healthier diets, but it is unclear whether specific dietary patterns exist within educational groups. We therefore aimed to derive dietary patterns in the total population and by educational level and to investigate whether these patterns differed in their composition and associations with the incidence of fatal and non-fatal CHD and stroke. Patterns were derived using principal components analysis in 36 418 participants of the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort. Self-reported educational level was used to create three educational groups. Dietary intake was estimated using a validated semi-quantitative FFQ. Hazard ratios were estimated using Cox Proportional Hazard analysis after a mean follow-up of 16 years. In the three educational groups, similar 'Western', 'prudent' and 'traditional' patterns were derived as in the total population. However, with higher educational level a lower population-derived score for the 'Western' and 'traditional' patterns and a higher score on the prudent' pattern were observed. These differences in distribution of the factor scores illustrate the association between education and food consumption. After adjustments, no differences in associations between population-derived dietary patterns and the incidence of CHD or stroke were found between the educational groups (P-interaction between 0.21 and 0.98). In conclusion, although in general population and educational groups-derived dietary patterns did not differ, small differences between educational groups existed in the consumption of food groups in participants considered adherent to the population-derived patterns (Q4). This did not result in different associations with incident CHD or stroke between educational groups.