Evidence map›Paper›PMID 40551720›Full record

ArticleJournal of diabetes investigation2025

Lean body mass index and the risk of diabetes onset: A nationwide epidemiological cohort study.

Kazuki Aoyama, Hidehiro Kaneko, Tatsuhiko Azegami, Akira Okada, Yuta Suzuki, Shu Meguro, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Norihiko Takeda and 2 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kazuki AoyamaDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Hidehiro KanekoDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2553-6170
Tatsuhiko AzegamiDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4809-5788
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6480-3388
Yuta SuzukiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Shu MeguroDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3528-128X
Katsuhito FujiuDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4818-3347
Hiroyuki MoritaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Kaori HayashiDivision of Nephrology, Endocrinology, and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.

Funding

Ministry of Health, Labour and Welfare 23AA2003the Ministry of Education, Culture, Sports, Science and Technology, Japan 20H03907the Ministry of Education, Culture, Sports, Science and Technology, Japan 21H03159the Ministry of Education, Culture, Sports, Science and Technology, Japan 21K08123
6 · The paper itself

Abstract

AIMS/

introductionDiabetes 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

methodsThis 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.

resultsThe 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.

conclusionsWe demonstrated that a lower LBMI was associated with a higher risk of diabetes onset in both men and women.

Indexed as

Body Mass IndexDiabetes MellitusDiabetes Mellitus, Type 2AgedFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPrognosisRetrospective StudiesRisk Factorsdiabeteslean body masssarcopenia

Identifiers

PMID40551720
PMCPMC12400360

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.