Association between adherence to the Japanese diet and all-cause and cause-specific mortality: the Japan Public Health Center-based Prospective Study

Eur J Nutr. 2021 Apr;60(3):1327-1336. doi: 10.1007/s00394-020-02330-0. Epub 2020 Jul 16.

Abstract

Purpose: The present study aimed to examine the association between adherence to the Japanese diet and the subsequent risk of all-cause and cause-specific mortality using a large-scale cohort from settings all over Japan.

Methods: We analyzed data from a cohort study of 92,969 Japanese adults aged 45-74 years, covering 11 public health center areas nationwide. We collected dietary information using a validated 147-item food frequency questionnaire. Adherence to the Japanese diet consisting of eight components (high intake of rice, miso soup, seaweeds, pickles, green and yellow vegetables, fish, and green tea; low intake of beef and pork) was assessed using 8-item Japanese Diet Index (JDI8) score, with scores ranging from 0 to 8. The Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for all-cause and cause-specific mortality.

Results: During a median follow-up of 18.9 years, we documented 20,596 deaths. A higher JDI8 score was significantly associated with a lower risk for all-cause and cardiovascular disease (CVD) mortality. The multivariable-adjusted HR of all-cause and CVD mortality for the highest JDI8 score group (score of 6-8) versus the lowest JDI8 score group (score of 0-2) were 0.86 (95% CI 0.81-0.90, P trend < 0.001), and 0.89 (95% CI 0.80-0.99, P trend = 0.007), respectively.

Conclusions: Adhering to the Japanese diet, as assessed by the JDI8, was associated with a decreased risk of all-cause and CVD mortality among adults living in multiple areas across Japan.

Keywords: Dietary pattern; Japanese diet; Mortality; Prospective study.

MeSH terms

  • Adult
  • Animals
  • Cardiovascular Diseases*
  • Cause of Death
  • Cohort Studies
  • Diet*
  • Humans
  • Japan / epidemiology
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors