4.5 Review

Advances in dietary pattern analysis in nutritional epidemiology

期刊

EUROPEAN JOURNAL OF NUTRITION
卷 60, 期 8, 页码 4115-4130

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00394-021-02545-9

关键词

Dietary pattern; Hypothesis based; Exploratory; Gut microbiome; Metabolome

资金

  1. Metabolic HEALTH through nutrition, microbiota and tryptophan bioMARKers through the Federal Ministry of Education and Research (BMBF), Germany [01EA1705A]
  2. German Federal Ministry of Education and Research (BMBF) [01EA1410A]
  3. Projekt DEAL

向作者/读者索取更多资源

Dietary pattern analysis has revolutionized the field of nutritional epidemiology by considering the synergistic effects of foods and complex interactions among nutrients. There are three approaches to DP analysis: hypothesis-based, exploratory, and hybrid. Recent complementary approaches have emerged conceptually and methodologically.
Background and Purpose It used to be a common practice in the field of nutritional epidemiology to analyze separate nutrients, foods, or food groups. However, in reality, nutrients and foods are consumed in combination. The introduction of dietary patterns (DP) and their analysis has revolutionized this field, making it possible to take into account the synergistic effects of foods and to account for the complex interaction among nutrients and foods. Three approaches of DP analysis exist: (1) the hypothesis-based approach (based on prior knowledge regarding the current understanding of dietary components and their health relation), (2) the exploratory approach (solely relying on dietary intake data), and (3) the hybrid approach (a combination of both approaches). During the recent past, complementary approaches for DP analysis have emerged both conceptually and methodologically. Method We have summarized the recent developments that include incorporating the Treelet transformation method as a complementary exploratory approach in a narrative review. Results Uses, peculiarities, strengths, limitations, and scope of recent developments in DP analysis are outlined. Next, the narrative review gives an overview of the literature that takes into account potential relevant dietary-related factors, specifically the metabolome and the gut microbiome in DP analysis. Then the review deals with the aspect of data processing that is needed prior to DP analysis, particularly when dietary data arise from assessment methods other than the long-established food frequency questionnaire. Lastly, potential opportunities for upcoming DP analysis are summarized in the outlook. Conclusion Biological factors like the metabolome and the microbiome are crucial to understand diet-disease relationships. Therefore, the inclusion of these factors in DP analysis might provide deeper insights.

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