ArticleNutrients2020
Identification of Dish-Based Dietary Patterns for Breakfast, Lunch, and Dinner and Their Diet Quality in Japanese Adults.
Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 20 citations in OpenAlex.
- Effectiveness of a perforated spoon for reducing salt intake in a university cafeteria.Frontiers in public health · 2026Trial
- Dietary Fiber Estimate of DialBetesPlus App Users: Secondary Analysis of Data From a Randomized Controlled Trial.JMIR formative research · 2025Trial
- Trial
- Ecological momentary assessment of meal context and food types contributing to salt intake at meals.The international journal of behavioral nutrition and physical activity · 2025Article
- Development of the Ajinomoto Group Nutrient Profiling System for Japanese Meals.Frontiers in nutrition · 2025Article
- Utility and applicability of a novel online dietary balance survey system: comparison with weighed dietary records.Journal of nutritional science · 2025Article
- Dietary patterns and obesity are associated with type 2 diabetes risk in elderly Chinese men: a machine learning approach.Frontiers in nutrition · 2025Article
- Identification of meal patterns based on energy intake distribution across the day and their associations with diet quality and body mass index.Environmental health and preventive medicine · 2025Article
- Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges.Nutrients · 2024Article
- Association between meal context and meal quality: an ecological momentary assessment in Japanese adults.European journal of nutrition · 2024Article
- Achieving high diet quality at eating occasions: findings from a nationally representative study of Australian adults.The British journal of nutrition · 2024Article
- A scoping review of dietary assessment questionnaires potentially suitable for assessing habitual dietary intake in the National Health and Nutrition Survey, Japan.Journal of nutritional science · 2024Article
- Breakfast Type and Cardiovascular Mortality: The Japan Collaborative Cohort Study.Journal of atherosclerosis and thrombosis · 2023Article
- Nutrient Intake from Voluntary Fortified Foods and Dietary Supplements in Japanese Consumers: A Cross-Sectional Online Survey.Nutrients · 2023Article
- Association between Breakfast Meal Categories and Timing of Physical Activity of Japanese Workers.Foods (Basel, Switzerland) · 2022Article
- Association of Japanese Breakfast Intake with Macro- and Micronutrients and Morning Chronotype.Nutrients · 2022Article
- Skipping Breakfast and Incidence of Frequent Alcohol Drinking in University Students in Japan: A Retrospective Cohort Study.Nutrients · 2022Article
- Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults.Journal of nutritional science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
We identified dish-based dietary patterns for breakfast, lunch, and dinner and assessed the diet quality of each pattern. Dietary data were obtained from 392 Japanese adults aged 20-69 years in 2013, using a 4 d dietary record.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.