Kazuki Aoyama, Hidehiro Kaneko, Tatsuhiko Azegami, Akira Okada, Yuta Suzuki, Shu Meguro, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Norihiko Takeda, Hideo Yasunaga, Kaori Hayashi
{"title":"瘦体重指数与糖尿病发病风险:一项全国流行病学队列研究。","authors":"Kazuki Aoyama, Hidehiro Kaneko, Tatsuhiko Azegami, Akira Okada, Yuta Suzuki, Shu Meguro, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Norihiko Takeda, Hideo Yasunaga, Kaori Hayashi","doi":"10.1111/jdi.70102","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims/introduction: </strong>Diabetes causes microvascular complications and cardiovascular diseases, and identifying its risk factors is a critical issue. Muscle is a primary target organ of insulin; however, previous studies on the relationship between lean body mass and the risk of developing diabetes have reported inconsistent findings. This study aimed to evaluate the association between the predicted lean body mass index (LBMI), which can be easily calculated in daily clinical practice, and the risk of developing diabetes.</p><p><strong>Materials and methods: </strong>This retrospective study analyzed a large scale real-world database to investigate the relationship between LBMI and diabetes risk in both men and women. The incidence of diabetes was determined using ICD-10 codes from an administrative claims database, and Cox regression and cubic spline models were employed.</p><p><strong>Results: </strong>The median age (interquartile range) was 59 (45-67) years for men and 63 (50-68) for women. Among 581,176 men and 721,605 women, a lower LBMI was associated with an increased risk of diabetes onset in both men and women (hazard ratio [95% confidence interval] (Men): Q1, 1.27 [1.23-1.32]; Q2, 1.07 [1.04-1.10]; Q3, 1.02 [0.99-1.04]; Q4. 1 [reference value], HR [95% CI] (Women): Q1, 1.10 [1.06-1.15]; Q2, 1.00 [0.97-1.03]; Q3, 0.99 [0.96-1.02]; Q4. 1 [reference value]). The restricted cubic spline regression model revealed that the risk of diabetes onset increased as LBMI decreased in both men and women.</p><p><strong>Conclusions: </strong>We demonstrated that a lower LBMI was associated with a higher risk of diabetes onset in both men and women.</p>","PeriodicalId":190,"journal":{"name":"Journal of Diabetes Investigation","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lean body mass index and the risk of diabetes onset: A nationwide epidemiological cohort study.\",\"authors\":\"Kazuki Aoyama, Hidehiro Kaneko, Tatsuhiko Azegami, Akira Okada, Yuta Suzuki, Shu Meguro, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Norihiko Takeda, Hideo Yasunaga, Kaori Hayashi\",\"doi\":\"10.1111/jdi.70102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims/introduction: </strong>Diabetes causes microvascular complications and cardiovascular diseases, and identifying its risk factors is a critical issue. Muscle is a primary target organ of insulin; however, previous studies on the relationship between lean body mass and the risk of developing diabetes have reported inconsistent findings. This study aimed to evaluate the association between the predicted lean body mass index (LBMI), which can be easily calculated in daily clinical practice, and the risk of developing diabetes.</p><p><strong>Materials and methods: </strong>This retrospective study analyzed a large scale real-world database to investigate the relationship between LBMI and diabetes risk in both men and women. The incidence of diabetes was determined using ICD-10 codes from an administrative claims database, and Cox regression and cubic spline models were employed.</p><p><strong>Results: </strong>The median age (interquartile range) was 59 (45-67) years for men and 63 (50-68) for women. Among 581,176 men and 721,605 women, a lower LBMI was associated with an increased risk of diabetes onset in both men and women (hazard ratio [95% confidence interval] (Men): Q1, 1.27 [1.23-1.32]; Q2, 1.07 [1.04-1.10]; Q3, 1.02 [0.99-1.04]; Q4. 1 [reference value], HR [95% CI] (Women): Q1, 1.10 [1.06-1.15]; Q2, 1.00 [0.97-1.03]; Q3, 0.99 [0.96-1.02]; Q4. 1 [reference value]). The restricted cubic spline regression model revealed that the risk of diabetes onset increased as LBMI decreased in both men and women.</p><p><strong>Conclusions: </strong>We demonstrated that a lower LBMI was associated with a higher risk of diabetes onset in both men and women.</p>\",\"PeriodicalId\":190,\"journal\":{\"name\":\"Journal of Diabetes Investigation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-24\",\"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.70102\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jdi.70102","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lean body mass index and the risk of diabetes onset: A nationwide epidemiological cohort study.
Aims/introduction: Diabetes causes microvascular complications and cardiovascular diseases, and identifying its risk factors is a critical issue. Muscle is a primary target organ of insulin; however, previous studies on the relationship between lean body mass and the risk of developing diabetes have reported inconsistent findings. This study aimed to evaluate the association between the predicted lean body mass index (LBMI), which can be easily calculated in daily clinical practice, and the risk of developing diabetes.
Materials and methods: This retrospective study analyzed a large scale real-world database to investigate the relationship between LBMI and diabetes risk in both men and women. The incidence of diabetes was determined using ICD-10 codes from an administrative claims database, and Cox regression and cubic spline models were employed.
Results: The median age (interquartile range) was 59 (45-67) years for men and 63 (50-68) for women. Among 581,176 men and 721,605 women, a lower LBMI was associated with an increased risk of diabetes onset in both men and women (hazard ratio [95% confidence interval] (Men): Q1, 1.27 [1.23-1.32]; Q2, 1.07 [1.04-1.10]; Q3, 1.02 [0.99-1.04]; Q4. 1 [reference value], HR [95% CI] (Women): Q1, 1.10 [1.06-1.15]; Q2, 1.00 [0.97-1.03]; Q3, 0.99 [0.96-1.02]; Q4. 1 [reference value]). The restricted cubic spline regression model revealed that the risk of diabetes onset increased as LBMI decreased in both men and women.
Conclusions: We demonstrated that a lower LBMI was associated with a higher risk of diabetes onset in both men and women.
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).