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2019 Fiscal Year Research-status Report

Circadian eating patterns and their associations with chronic diseases in the general population.

Research Project

Project/Area Number 19K20199
Research InstitutionAichi Medical University

Principal Investigator

王 超辰  愛知医科大学, 医学部, 助教 (00758063)

Project Period (FY) 2019-04-01 – 2021-03-31
KeywordsChrono-nutrition / Latent class analysis / Correspondence analysis / NDNS RP
Outline of Annual Research Achievements

In the past year, we mainly focused on finalizing the first phase of analysis using the National Diet and Nutrition Survey Rolling Programme database. We further found the established carbohydrate eating time patterns and its relationships with type 2 diabetes.
Specifically, there are three types carbohydrate (CH) eaters in the UK adults - low, moderated, and high. Low CH eaters consumed the highest amount of total energy as well as more fat and alcohol especially during the late-night time; moderate CH eaters were eating late with the lowest total energy consumption; high CH eaters had the most regular (in terms of amount and timing) meal eating patterns. Overall, high CH eaters appear to have a diet with the highest daily intake of CH and fibre and the lowest intake of protein, fat as well as alcohol compared with the other two eating patterns.

In relation to health outcomes especially type 2 diabetes (T2D), low CH eaters had a higher prevalence of compared with the others. While analysis restricted to undiagnosed T2D showed that reverse causal relationships existed, indicating that people replace their CH intake to other sources of energy when knowing they have T2D.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

We further analyzed the data using correspondence analysis to visualize and identify what type of food was eaten by the adults living in the UK according to their status of diabetes. The findings are consistent with our expectation. Alcoholic/sweetened beverages, chocolates and other foods rich in added sugars and saturated fats were more likely to be eaten after 8 pm. These foods and drinks are mostly highly processed and easily accessible.
These results were presented orally in the Japanese Epidemiological Association annual meeting this year.

Strategy for Future Research Activity

The plan for next year would be to summarize the secondary main results from the correspondence analysis and submit it to an academic journal.
We also plan to expand the technique of MCLA to look for carbohydrate eating patterns incorporate the quality of CH evaluated by the ratio between CH and fibre consumed by the individuals.

  • Research Products

    (6 results)

All 2020 2019 Other

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (3 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results) Remarks (2 results)

  • [Journal Article] Day-Time Patterns of Carbohydrate Intake in Adults by Non-Parametric Multi-Level Latent Class Analysis-Results from the UK National Diet and Nutrition Survey (2008/09-2015/16)2019

    • Author(s)
      Chaochen Wang、Suzana Almoosawi、Luigi Palla
    • Journal Title

      Nutrients

      Volume: 11 Pages: 2476~2476

    • DOI

      10.3390/nu11102476

    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Associations between food groups and eating time slots by diabetes status in UK adults2020

    • Author(s)
      Chaochen Wang, Suzana Almoosawi, Luigi Palla
    • Organizer
      第30回日本疫学会学術総会
  • [Presentation] Mining relationships between food groups, eating time slots and diabetes status in adults from UK NDNS RP2019

    • Author(s)
      Luigi Palla, Chaochen Wang, Marta Gruszka-Goh, Suzana Almoosawi
    • Organizer
      13th European Nutrition Conference
    • Int'l Joint Research
  • [Presentation] Daily patterns of carbohydrate intake in adults by non-parametric multi-level latent class analysis: an application a representative sample of adults from the UK national diet and nutrition survey (2008/09 - 2015/16)2019

    • Author(s)
      DAILY PATTERNS OF CARBOHYDRATE INTAKE IN ADULTS BY NON-PARAMETRIC MULTI-LEVEL LATENT CLASS ANALYSIS : AN APPLICATION A REPRESENTATIVE SAMPLE OF ADULTS FROM THE UK NATIONAL DIET AND NUTRITION SURVEY (2008/09 - 2015/16)
    • Organizer
      X° Congresso Nazionale SISMEC 2019 - convocazione Assemblea dei Soci
    • Int'l Joint Research / Invited
  • [Remarks] Day-Time Patterns of Carbohydrate Intake in Adults

    • URL

      https://wangcc.me/publication/journal-article/ch_ndnsrp/

  • [Remarks] Chrononutrition

    • URL

      https://wangcc.me/project/chronon/

URL: 

Published: 2021-01-27  

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