Non-linear relationship between the body roundness index and incident type 2 diabetes in Japan: a secondary retrospective analysis

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Abstract

Background

Body roundness index (BRI) is one of the obesity-related anthropometric indices. However, studies on the relationship between BRI and diabetes risk is limited. The purpose of this study was to explore the relationship between baseline BRI and incident type 2 diabetes mellitus (T2DM) in the Japanese population.

Methods

A retrospective longitudinal study of 15,310 participants in a physical examination program at Murakami Memorial Hospital in Japan from 2004 to 2015. The association between BRI levels and incident T2DM was analyzed by Cox proportional-hazards regression, smooth curve fitting, subgroup analyses, and a set of sensitivity analyses. Receiver operating characteristic curve analysis was used to assess the ability of BRI to predict diabetes.

Result

Baseline BRI levels were elevated in participants who developed T2DM. Baseline BRI levels were positively associated with incident T2DM after adjusting confounding variables (HR = 1.570, 95% CI 1.360–1.811). Additionally, we did a set of sensitivity analyses to ensure the robustness of the results. There was also a non-linear relationship between BRI and incident diabetes in both genders, and the inflection point of BRI was 4.137 in females and 3.146 in males. We found a strong positive correlation between BRI and the incidence of diabetes on the right of the inflection point (Male: HR = 1.827, 95% CI 1.449–2.303; Female: HR = 4.189, 95% CI 1.862–9.421). What’s more, among the anthropometric indices, BRI showed the optimal capability to predict T2DM (Male: AUC = 0.706, 95% CI 0.674–0.738; Female: AUC = 0.735, 95% CI 0.676–0.795).

Conclusion

An elevated BRI level in baseline was independently associated with incident T2DM. Baseline BRI improves the identification of patients at risk of T2DM and may enable early and optimized therapy to improve their outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-022-03321-x.

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Most cited references 18

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Since the year 2000, IDF has been measuring the prevalence of diabetes nationally, regionally and globally.

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Diabetes is a serious and increasing global health burden and estimates of prevalence are essential for appropriate allocation of resources and monitoring of trends. We conducted a literature search of studies reporting the age-specific prevalence for diabetes and used the Analytic Hierarchy Process to systematically select studies to generate estimates for 219 countries and territories. Estimates for countries without available source data were modelled from pooled estimates of countries that were similar in regard to geography, ethnicity, and economic development. Logistic regression was applied to generate smoothed age-specific prevalence estimates for adults 20-79 years which were then applied to population estimates for 2013 and 2035. A total of 744 data sources were considered and 174 included, representing 130 countries. In 2013, 382 million people had diabetes; this number is expected to rise to 592 million by 2035. Most people with diabetes live in low- and middle-income countries and these will experience the greatest increase in cases of diabetes over the next 22 years. The new estimates of diabetes in adults confirm the large burden of diabetes, especially in developing countries. Estimates will be updated annually including the most recent, high-quality data available. Copyright © 2013. Published by Elsevier Ireland Ltd.

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Author and article information

Contributors

Haofei Hu: huhaofei0319@126.com

Qijun Wan: yiyuan2224@sina.com

Journal

Journal ID (nlm-ta): J Transl Med

Journal ID (iso-abbrev): J Transl Med

Title: Journal of Translational Medicine

Publisher: BioMed Central (London )

ISSN (Electronic): 1479-5876

Publication date (Electronic): 7 March 2022

Publication date PMC-release: 7 March 2022

Publication date Collection: 2022

Volume: 20

Affiliations

[1 ]GRID grid.263488.3, ISNI 0000 0001 0472 9649, Department of Nephrology, , The First Affiliated Hospital of Shenzhen University, ; Shenzhen, 518000 Guangdong Province China

[2 ]GRID grid.452847.8, ISNI 0000 0004 6068 028X, Department of Nephrology, , Shenzhen Second People’s Hospital, ; No. 3002 Sungang Road, Futian District, Shenzhen, 518000 Guangdong Province China

[3 ]GRID grid.263488.3, ISNI 0000 0001 0472 9649, Department of Functional Neurology, , The First Affiliated Hospital of Shenzhen University, ; Shenzhen, 518000 Guangdong Province China

[4 ]GRID grid.452847.8, ISNI 0000 0004 6068 028X, Department of Functional Neurology, , Shenzhen Second People’s Hospital, ; No. 3002 Sungang Road, Futian District, Shenzhen, 518000 Guangdong Province China

Article

Publisher ID: 3321

DOI: 10.1186/s12967-022-03321-x

PMC ID: 8900386

PubMed ID: 35255926

SO-VID: a9e61279-ff6c-4ce7-a6e4-f6242c8f9300

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 28 January 2022

Date accepted : 25 February 2022

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;

Award ID: 82100710

Award Recipient : Liling Wu

Funded by: Guangdong Basic and Applied Basic Research Foundation

Award ID: 2020A1515110398

Award Recipient : Liling Wu

Funded by: Shenzhen Key Medical Discipline Construction Fund

Award ID: SZXK009

Award Recipient : Qijun Wan

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ScienceOpen disciplines: Medicine

Keywords: body roundness index,incident type 2 diabetes mellitus,non-linear relationship

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ScienceOpen disciplines: Medicine

Keywords: body roundness index, incident type 2 diabetes mellitus, non-linear relationship

Non-linear relationship between the body roundness index and incident type 2 diabetes in Japan: a secondary retrospective analysis

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Abstract

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Conclusion

Supplementary Information

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Karger: Nephrology

Most cited references 18

IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

Global estimates of diabetes prevalence for 2013 and projections for 2035.

The severity of ultrasonographic findings in nonalcoholic fatty liver disease reflects the metabolic syndrome and visceral fat accumulation.

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