Abstract

We examined 13-year trends in dietary patterns, using data from the National Health and Nutrition Survey, Japan 2003–2015. In repeated, independent cross-sectional studies, dietary intake was assessed with a one-day weighed dietary record in 88,527 Japanese adults aged ≥20 years. Using principal component analysis based on the daily consumption of 31 food groups, we identified three dietary patterns, the “plant food and fish”, “bread and dairy”, and “animal food and oil” patterns. In the whole sample, the “plant food and fish” pattern score decreased while the “bread and dairy” and “animal food and oil” pattern scores increased. The decreasing trends in the “plant food and fish” pattern were observed in all subgroups considered. The increasing trends in the “bread and dairy” pattern were similar across sexes and by current smoking status. However, in terms of age, occupation, and weight status, the increasing trends were only evident in particular subgroups (i.e., age 50–64 and ≥65 years; security/transportation/labor occupation and nonworker; and normal weight and overweight participants). For the “animal food and oil” pattern, the increasing trends were observed in all subgroups, except for the youngest age group (20–34 years old). This study suggests continuous Westernization of the Japanese diet.

Highlights

  • Understanding trends in dietary habits is critical to priority setting and policy making aimed at improving diets and reducing diet-related illness [1]

  • During the period 2003–2015, the “plant food and fish”. This is the first study to investigate trends in principal component analysis (PCA)-derived dietary patterns pattern score decreased while the “bread and dairy” and “animal food and oil” pattern scores using increased a nationally representative

  • Continuous efforts for reducing seasonings should be considered independent of dietary patterns. This 13-year (2003–2015) trend analysis revealed that the “plant food and fish” pattern score decreased while the “bread and dairy” and “animal food and oil” pattern scores increased

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Summary

Introduction

Understanding trends in dietary habits is critical to priority setting and policy making aimed at improving diets and reducing diet-related illness [1]. We are aware of no trend analysis in dietary patterns based on nationally representative datasets in Asia. Were it available, this kind of information would be useful in developing country-specific nutrition policies and food-based dietary guidelines. The two main approaches to derive dietary patterns are the a priori (hypothesis-derived) and a posteriori (data-derived) approaches The latter is suitable for deriving a representative picture of the diet in a specific population, and has been used in many studies [3,4,5,6,7,8,9,10,11,12,13,14,15,16].

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