Nutritional Adequacy Assessment of the Japanese Diet Using the Number of Dishes Compared to Existing Dietary Diversity Indices: A Cross-Sectional Analysis from the 2012 National Health and Nutrition Survey, Japan.

The Japanese diet has attracted attention as a factor contributing to the Japanese population's longevity. A typical Japanese meal, traditionally called "ichiju-sansai," is composed of various dishes. This study assessed the nutritional adequacy of the Japanese diet using the number of dishes in all meals (NDAM) compared to existing dietary diversity indices (DDIs). This cross-sectional study used data from the 2012 National Health and Nutrition Survey. A total of 25,976 participants aged ≥20 y were included in this study. NDAM was calculated for whole dishes or single foods (except supplements and beverages) from one-day weighted dietary records. The food variety score (FVS), number of foods, dietary diversity score (DDS), and number of food groups are some of the existing DDIs. NDAM had relatively high positive correlation coefficients with potassium, magnesium, and dietary fiber. The partial correlation coefficients with an indicator of the overall nutrient adequacy of NDAM was 0.42 for men and 0.42 for women. It was almost the same as that of the FVS (men: 0.44, women: 0.42) and DDS (men: 0.44, women: 0.43). On the other hand, NDAM, similar to existing DDIs, was also positively correlated with nutrient restriction in both sexes. These findings indicate that the nutrient adequacy of NDAM is similar to that of the existing DDIs. Because of the higher sodium intake and cholesterol intake in higher NDAM and existing DDIs, the effect of higher NDAM on health outcomes must be investigated in future studies.

Association of dietary diversity with all-cause mortality by body mass index in Japanese older adults: An age-specific prospective cohort study (NISSIN project).

AIM: Dietary diversity might reduce the risk of malnutrition, although it is also linked to obesity. We examined whether dietary diversity is associated with all-cause mortality in Japanese older adults based on their body mass index (BMI). METHODS: The current study included 2944 people aged 64-65 years who participated in the New Integrated Suburban Seniority Investigation (NISSIN) project from 1996 to 2005. Dietary diversity was measured using the Food Variety Score (FVS), which calculates the frequency of all food items consumed daily using a self-administered food frequency questionnaire. Participants were divided into tertiles according to their FVS (first: low, second: middle, third: high). Multivariate adjusted hazard ratios with 95% confidence intervals were calculated using the Cox proportional hazard regression model. For the stratified analysis, BMI was used to divide the participants into three groups - lean (BMI <20), normal (BMI 20-24.9) and overweight/obese (BMI ≥25). RESULTS: Overall, 454 (30.7%) men and 222 (15.2%) women died over a median follow-up period of 16.6 years. No significant association was observed between FVS and all-cause mortality. However, when grouped by BMI, for the participants in the lean group, the multivariate adjusted hazard ratios were 0.56 (95% confidence interval 0.32-0.96) for the middle FVS and 0.50 (95% confidence interval 0.25-1.02) for the high FVS, compared with the low FVS (P for trend = 0.059). In overweight/obese women, although not significant, total mortality was higher in the middle and high FVS. CONCLUSIONS: These findings show that dietary diversity should be promoted in lean older Japanese adults. Geriatr Gerontol Int 2022; 22: 736-744.

Dietary patterns and abnormal glucose tolerance among Japanese: findings from the National Health and Nutrition Survey, 2012.

OBJECTIVE: Previous studies have associated dietary patterns with diabetes risk in Western countries, but such studies among the Japanese population are scarce. The present study aimed to investigate dietary patterns associated with abnormal glucose tolerance determined by elevated glycated Hb (HbA1c) levels. DESIGN: The 2012 National Health and Nutrition Survey (NHNS) database was used for the cross-sectional study. Dietary patterns were analysed by factor analysis of twenty-five food items from the dietary intake survey and household-based semi-weighed dietary records. OR and 95 % CI for elevated HbA1c levels (≥6·5 %) according to dietary patterns were estimated using logistic regression models. SETTING: Japan. PARTICIPANTS: The study population comprised 9550 Japanese aged ≥40 years registered in the nationwide NHNS. RESULTS: Three dietary patterns were identified: (i) high-bread and low-rice; (ii) high-meat and low-fish; and (iii) vegetable. The high-bread and low-rice pattern, characterised by high frequent consumption of bread, milk and dairy products, and fruits, and low rice intake, was associated with marginally decreased prevalence of elevated HbA1c levels (Ptrend=0·047). The vegetable pattern, characterised by vegetables, mushrooms, soyabeans and soybean products, was significantly inversely associated with elevated HbA1c levels (4th v. 1st quartile: multivariable OR=0·68; 95 % CI 0·49, 0·95; Ptrend=0·007). CONCLUSIONS: Our findings suggest that the vegetable pattern is associated with decreased prevalence of elevated HbA1c levels among Japanese.

Dietary patterns among Japanese adults: findings from the National Health and Nutrition Survey, 2012.

BACKGROUND AND OBJECTIVES: Recent studies have analyzed dietary patterns to assess overall dietary habits, but there have been no studies of dietary patterns among the contemporary Japanese population nationwide. The objective of this study was to identify dietary patterns based on consumption of food items among Japanese adults, and to examine whether these dietary patterns were associated with nutrient intake, demographic characteristics, and lifestyle factors. METHODS AND STUDY DESIGN: The study population included 25,754 Japanese adults aged 20 years and older registered in the nationwide National Health and Nutrition Survey database in 2012. Dietary patterns were analyzed by factor analysis of 29 food items from the dietary intake survey and household-based semiweighed dietary records. RESULTS: Five dietary patterns were identified: high-bread and low-rice, high-meat and low-fish, vegetable, wheat-based food, and noodle and alcohol patterns. The lowest quartile of factor scores for high-meat and low-fish, wheat-based food, and noodle and alcohol patterns had higher nutrient intakes, and the highest quartile of factor scores for the vegetable pattern had a higher nutrient intake overall (all p<0.01). Dietary pattern scores were associated with demographic and lifestyle factors such as sex, age, region, smoking status, and alcohol intake. CONCLUSIONS: Five major dietary patterns among Japanese adults were identified by factor analysis. Dietary pattern scores were associated with differences in nutrient intakes and demographic and lifestyle factors. These patterns were further used for examining the association between Japanese diets and health outcomes.

PCoM-DB Update: A Protein Co-Migration Database for Photosynthetic Organisms.

The identification of protein complexes is important for the understanding of protein structure and function and the regulation of cellular processes. We used blue-native PAGE and tandem mass spectrometry to identify protein complexes systematically, and built a web database, the protein co-migration database (PCoM-DB, http://pcomdb.lowtem.hokudai.ac.jp/proteins/top), to provide prediction tools for protein complexes. PCoM-DB provides migration profiles for any given protein of interest, and allows users to compare them with migration profiles of other proteins, showing the oligomeric states of proteins and thus identifying potential interaction partners. The initial version of PCoM-DB (launched in January 2013) included protein complex data for Synechocystis whole cells and Arabidopsis thaliana thylakoid membranes. Here we report PCoM-DB version 2.0, which includes new data sets and analytical tools. Additional data are included from whole cells of the pelagic marine picocyanobacterium Prochlorococcus marinus, the thermophilic cyanobacterium Thermosynechococcus elongatus, the unicellular green alga Chlamydomonas reinhardtii and the bryophyte Physcomitrella patens. The Arabidopsis protein data now include data for intact mitochondria, intact chloroplasts, chloroplast stroma and chloroplast envelopes. The new tools comprise a multiple-protein search form and a heat map viewer for protein migration profiles. Users can compare migration profiles of a protein of interest among different organelles or compare migration profiles among different proteins within the same sample. For Arabidopsis proteins, users can compare migration profiles of a protein of interest with putative homologous proteins from non-Arabidopsis organisms. The updated PCoM-DB will help researchers find novel protein complexes and estimate their evolutionary changes in the green lineage.