2019 Fiscal Year Research-status Report
Circadian eating patterns and their associations with chronic diseases in the general population.
Project/Area Number |
19K20199
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Research Institution | Aichi Medical University |
Principal Investigator |
王 超辰 愛知医科大学, 医学部, 助教 (00758063)
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Project Period (FY) |
2019-04-01 – 2021-03-31
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Keywords | Chrono-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.
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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.
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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.
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