2022 Fiscal Year Final Research Report
Associations between maternal circadian rhythm, daily eating schedules and nutritional metabolism during pregnancy.
| Project/Area Number |
19K22741
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 58:Society medicine, nursing, and related fields
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Haruna Megumi 東京大学, 大学院医学系研究科(医学部), 教授 (00332601)
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| Co-Investigator(Kenkyū-buntansha) |
米澤 かおり 東京大学, 大学院医学系研究科(医学部), 講師 (20791388)
笹川 恵美 東京大学, 大学院医学系研究科(医学部), 助教 (90757270)
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| Project Period (FY) |
2019-06-28 – 2023-03-31
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| Keywords | pregnancy / meal frequency / fasting duration / chrono-type / glucose metabolism / lipid metabolism |
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| Outline of Final Research Achievements |
Maternal nutrition during pregnancy has consequences for fetal growth, development, and potential complications. However, the effects of meal frequency and intervals on nutrient metabolism in pregnant women remain unclear. Therefore, we conducted a survey to clarify the actual situation of overnight fasting duration and meal frequency during pregnancy, and to determine their effects on glucose and lipid metabolism. Based on questionnaires and blood samples collected from 118 women in mid-pregnancy, the mean overnight fasting duration was 12 hours and the mean number of meals per day was 3.9. Longer overnight fasting was associated with age, work, and sleep patterns. Among the biomarkers tested, glycated albumin (GA) was positively correlated with meal frequency, but the values were within the normal reference range. As such, the results did not recommend a reduction in the number of meals.
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| Free Research Field |
Maternal and Child Health
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| Academic Significance and Societal Importance of the Research Achievements |
近年、時間栄養学の研究から食事摂取時間や食事の時間間隔、chrono-type（朝型タイプと夜型タイプ）と栄養代謝との関連が明らかにされつつある。今回、日本において初めて妊娠中の夜間絶食時間と食事回数の実態と、これらの糖・脂質代謝への影響を検討した。妊婦118名の結果より、平均夜間絶食時間は12時間、平均食事回数は3.9回で、夜間絶食時間には、年齢、仕事、睡眠などが関連していた。食事回数が多いとグリコアルブミン値が高くなる傾向が示されたが、基準値内であり、食事回数を減らすことを推奨する結果ではなかった。しかし適切な血糖コントロールのためには、食事内容や量と共に、食事回数も着目する必要がある。
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