{"title":"Relationship between maternal body composition changes and heavy for date infants in pregnant women with diabetes.","authors":"Eriko Eto, Masakazu Kato, Satoe Kirino, Chiaki Kuriyama, Syujiro Sakata, Hikari Nakato, Sakurako Mishima, Akiko Ohira, Hisashi Masuyama","doi":"10.1111/jdi.70131","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims/introduction: </strong>Maternal hyperglycemia is associated with heavy for date (HFD) infants. Considering the association between body composition and hyperglycemia, we investigated the changes in maternal body composition and their relationship with HFD infants in pregnant women with diabetes.</p><p><strong>Materials and methods: </strong>Body composition was measured during pregnancy using a bioelectrical impedance analysis system. This retrospective study included 151 pregnant women; 27 women had type 1 diabetes mellitus (DM), 21 had type 2 DM, 101 were diagnosed with gestational DM, and 2 had overt DM. The number of HFD infants was 40.</p><p><strong>Results: </strong>In the non-type 1 DM group, change in fat mass (ΔFM) (P < 0.01) and pre-pregnancy BMI (P < 0.05) were risk factors for HFD. In the insulin group, ΔFM, pre-pregnancy BMI, and age (all P < 0.05) were risk factors for HFD. The area under the curve was 0.813 for the predictive model combined with ΔFM and pre-pregnancy BMI in the non-type 1 DM group and 0.818 for the model combined with ΔFM, pre-pregnancy BMI, and age in the insulin group.</p><p><strong>Conclusions: </strong>The combination of body composition parameters and clinical data may predict HFD in pregnant women with diabetes.</p>","PeriodicalId":190,"journal":{"name":"Journal of Diabetes Investigation","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jdi.70131","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aims/introduction: Maternal hyperglycemia is associated with heavy for date (HFD) infants. Considering the association between body composition and hyperglycemia, we investigated the changes in maternal body composition and their relationship with HFD infants in pregnant women with diabetes.
Materials and methods: Body composition was measured during pregnancy using a bioelectrical impedance analysis system. This retrospective study included 151 pregnant women; 27 women had type 1 diabetes mellitus (DM), 21 had type 2 DM, 101 were diagnosed with gestational DM, and 2 had overt DM. The number of HFD infants was 40.
Results: In the non-type 1 DM group, change in fat mass (ΔFM) (P < 0.01) and pre-pregnancy BMI (P < 0.05) were risk factors for HFD. In the insulin group, ΔFM, pre-pregnancy BMI, and age (all P < 0.05) were risk factors for HFD. The area under the curve was 0.813 for the predictive model combined with ΔFM and pre-pregnancy BMI in the non-type 1 DM group and 0.818 for the model combined with ΔFM, pre-pregnancy BMI, and age in the insulin group.
Conclusions: The combination of body composition parameters and clinical data may predict HFD in pregnant women with diabetes.
期刊介绍:
Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).