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Are clusters of dietary patterns and cluster membership stable over time? Results of a longitudinal cluster analysis study

机译:饮食模式的群集和群集成员随时间推移是否稳定?纵向聚类分析研究的结果

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Introduction: Developing nutrition education interventions based on clusters of dietary patterns can only be done adequately when it is dear if distinctive clusters of dietary patterns can be derived and reproduced over time, if cluster membership is stable, and if it is predictable which type of people belong to a certain cluster. Hence, this study aimed to: (1) identify clusters of dietary patterns among Dutch adults, (2) test the reproducibility of these clusters and stability of cluster membership over time, and (3) identify sociodemographic predictors of cluster membership and cluster transition. Methods: This study had a longitudinal design with online measurements at baseline (N=483) and 6 months follow-up (N = 379). Dietary intake was assessed with a validated food frequency questionnaire. A hierarchical cluster analysis was performed, followed by a K-means cluster analysis. Multinomial logistic regression analyses were conducted to identify the sociodemographic predictors of cluster membership and cluster transition. Results: At baseline and follow-up, a comparable three-cluster solution was derived, distinguishing a healthy, moderately healthy, and unhealthy dietary pattern. Male and lower educated participants were significantly more likely to have a less healthy dietary pattern. Further, 251 (66.2%) participants remained in the same cluster, 45 (11.9%) participants changed to an unhealthier cluster, and 83 (21.9%) participants shifted to a healthier cluster. Men and people living alone were significantly more likely to shift toward a less healthy dietary pattern. Conclusions: Distinctive clusters of dietary patterns can be derived. Yet, cluster membership is unstable and only few sociodemographic factors were associated with cluster membership and cluster transition. These findings imply that clusters based on dietary intake may not be suitable as a basis for nutrition education interventions.
机译:简介:只有在可以随着时间的推移衍生和复制独特的饮食模式,如果成员组成稳定并且可以预测哪种类型的人的情况下,才可以充分地制定基于饮食模式的营养教育干预措施属于某个集群。因此,本研究旨在:(1)在荷兰成年人中确定饮食模式的集群,(2)测试这些集群的再现性和集群成员随时间的稳定性,(3)识别集群成员和集群过渡的社会人口统计学预测因子。方法:本研究采用纵向设计,基线时在线测量(N = 483),随访6个月(N = 379)。用经过验证的食物频率问卷评估饮食摄入量。进行了层次聚类分析,然后进行了K-均值聚类分析。进行了多项logistic回归分析,以确定聚类成员和聚类转变的社会人口学预测因子。结果:在基线和随访时,得出了可比较的三群解决方案,以区分健康,中度健康和不健康的饮食模式。男性和低学历的参与者饮食健康状况明显较不健康。此外,有251名(66.2%)参与者仍留在同一集群中,其中45名(11.9%)参与者变为不健康集群,而83名(21.9%)参与者转向了更健康集群。单独生活的男人和人更有可能朝着不健康的饮食方式转变。结论:可以得出饮食模式的独特集群。然而,集群成员资格是不稳定的,只有很少的社会人口统计学因素与集群成员资格和集群过渡有关。这些发现表明,基于饮食摄入的聚类可能不适合作为营养教育干预措施的基础。

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