Exploring association between weight trajectory and lifestyle diseases with artificial intelligence in post-menopausal women

• Project/Area Number: 18K18146
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 62010:Life, health and medical informatics-related
• Research Institution: The University of Tokyo
• Principal Investigator: Ejima Keisuke 東京大学, 大学院医学系研究科(医学部), 客員研究員 (70730240)
• Project Period (FY): 2018-04-01 – 2023-03-31
• Project Status: Completed (Fiscal Year 2022)
• Budget Amount: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000); Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2018: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
• Keywords: 疫学 / 肥満 / 生存解析 / 統計モデル / 骨密度 / 骨折 / 生活習慣病

Outline of Final Research Achievements

BMI trajectory was analyzed to assess its relationship with mortality risk in the Japanese population. I used data from the Japanese large cohort study (JPHC) with subjects aged 40 to her 69 who were followed for 20 years until the early 1990s. Six BMI trajectory groups were identified. Survival analyses revealed an increased risk of all-cause mortality in the BMI decreasing group (groups 3 and 5), stable underweight (group 1), and normal to obesity (group 6).

Academic Significance and Societal Importance of the Research Achievements

単一時点のBMIは、個人および集団レベルの疾患および死亡リスクを評価するための有用なツールとして使用されてきているが、BMIの軌跡を考慮すると、より精度よく死亡リスクを評価できる可能性があることが示唆された。 生涯にわたるBMIの変遷と死亡リスクの関連性を調査するには、さらなる研究が必要と思われる。

Research Products

• [Int'l Joint Research] Indiana University/University of Arkansas/Arizona State University(米国)
• [Int'l Joint Research] インディアナ大学/国立衛生研究所(米国)
• [Int'l Joint Research] University of Oklahoma/University of Minnesota/Indiana University(米国)
• [Int'l Joint Research] Indiana University/University of Wisconsin, Madison/Louisiana State University(米国)
• [Int'l Joint Research] Bartin University(トルコ)
• [Journal Article] Bias in nutrition-health associations is not eliminated by excluding extreme reporters in empirical or simulation studies (2023)
  • Author(s): Yamamoto Nao、Ejima Keisuke、Zoh Roger S、Brown Andrew W
  • Journal Title: eLife Volume: 12
  • DOI: 10.7554/elife.83616
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Empirical vs theoretical power and type-I error (‘false positive’) rates estimated from real murine aging research data (2021)
  • Author(s): 16.Alfaras I†, Ejima K†, Teixeira CVL, Germanio CD, Sarah J. Mitchell SJ, Hamilton S, Ferrucci L, Price NL, Allison DB, Bernier M, de Cabo R
  • Journal Title: Cell Reports Volume: 36 Issue: 7 Pages: 109560-109560
  • DOI: 10.1016/j.celrep.2021.109560
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Associations of breastfeeding or formula feeding with infant anthropometry and body composition at 6 months (2020)
  • Author(s): Tahir Muna J.、Ejima Keisuke、Li Peng、Demerath Ellen W.、Allison David B.、Fields David A.
  • Journal Title: Maternal & Child Nutrition Volume: 17 Issue: 2
  • DOI: 10.1111/mcn.13105
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation (2020)
  • Author(s): Ejima Keisuke、Brown Andrew W.、Smith Daniel L.、Beyaztas Ufuk、Allison David B.
  • Journal Title: International Journal of Obesity Volume: - Issue: 6 Pages: 1440-1449
  • DOI: 10.1038/s41366-020-0554-2
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Does exclusion of extreme reporters of energy intake (the “Goldberg cutoffs”) reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes (2019)
  • Author(s): Ejima Keisuke、Brown Andrew W、Schoeller Dale A、Heymsfield Steven B、Nelson Erik J、Allison David B
  • Journal Title: The American Journal of Clinical Nutrition Volume: 110 Issue: 5 Pages: 1231-1239
  • DOI: 10.1093/ajcn/nqz198
  • Peer Reviewed / Int'l Joint Research
• [Presentation] Postmenopausal Longitudinal Bone Mineral Density (BMD) Trajectory Improves Prediction Accuracy ofFracture Risk (2019)
  • Author(s): Keisuke Ejima
  • Organizer: The International Congress on Industrial and Applied Mathematics
  • Int'l Joint Research
• [Presentation] Assessment of Type I Error Rates and Power of Common Analysis Methods in Murine Obesity-Related Study: ‘Plasmode-Based’ Simulation (2019)
  • Author(s): Keisuke Ejima
  • Organizer: ASN Scientific Sessions and Annual Meeting
• [Presentation] Does Exclusion of Extreme Reporters of Energy Intake Make Results Less Biased in Nutrition Studies? (2018)
  • Author(s): Keisuke Ejima
  • Organizer: Obesityweek
  • Int'l Joint Research