Evidence map›Paper›PMID 40442819›Full record

ArticleDiabetology & metabolic syndrome2025

Weight-adjusted waist index is associated with risk of poor bone quality rather than low bone mass in patients with type 2 diabetes.

Dehuai Feng, Junying Liu, Ningning Bai, Shujuan Chen, Liming Zhou, Xinlian He, Keli Zhao, Shaobin Wang, Jinyang Wan, Sheng Ouyang and 4 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Dehuai Feng *Department of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Junying Liu *Department of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Ningning Bai *Department of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Shujuan ChenDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Liming ZhouDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Xinlian HeDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Keli ZhaoWestern Institute of Health Data Science, Chongqing, 401329, China.
Shaobin WangCenter of Health Management, Peking University Shenzhen Hospital, Shenzhen, 518035, China.
Jinyang WanDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Sheng OuyangDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Yiting ZhengDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China.
Zhimao CaiDepartment of General Medicine, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Dewen YanDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China. Yandw963@126.com.
Ling ChenDepartment of Endocrinology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Center for Diabetes Control and Prevention, Shenzhen, 518035, China. qzchenling@email.szu.edu.cn.

Funding

National Natural Science Foundation of China 82300980Sanming Project of Medicine in Shenzhen Municipality SZSM202211026Shenzhen Center for Diabetes Control and Prevention SZMHC[2020]46Shenzhen Clinical Research Center for Metabolic Diseases Shenzhen Science, Technology and Innovation [2021]287Shenzhen Science and Technology Program JCYJ20220530150607017the China Postdoctoral Science Foundation 2023M732370the National Science Foundation of China 82200987
6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) correlates with an elevated risk of osteoporotic fractures. However, factors influencing bone mineral density (BMD) and trabecular bone score (TBS) in Chinese individuals with T2D remain unclear. This study aimed to investigate the clinical and biochemical determinants of BMD and TBS in patients with T2D, with a focus on elucidating the role of weight-adjusted waist index (WWI) in modulating bone mass and quality in this cohort.

methodsData of 161 women and 153 men with T2D collected between July 2022 and March 2023 in Shenzhen, China, were analyzed in our cross-sectional study. Lumbar spine BMD and TBS of all participants were obtained using dual-energy X-ray absorptiometry. WWI was defined as waist circumference over the square root of weight.

resultsMultivariate regression analysis demonstrated that lumbar spine TBS was inversely correlated with age, menopausal status, and WWI in women (p < 0.05). In men, TBS was negatively associated with age and WWI (p < 0.05). For women, glycated hemoglobin A1c positively influenced BMD (p < 0.05), whereas age, diabetic retinopathy, and N-mid osteocalcin were negatively associated. No significant predictors of BMD were identified in the male cohort. For predicting degraded TBS, the optimal WWI cut-offs were 11.257 cm/√kg (S: 61.1%, E: 80.7%) in males and 11.247 cm/√kg (S: 70.3%, E: 71.1%) in females.

conclusionsOur findings highlight WWI as a novel and potentially more precise indicator of body fat, associated with diminished bone quality rather than solely low bone mass in patients with T2D in China. These results suggest that evaluating bone health in individuals with higher WWI may require more than just bone mass assessment. The results also suggest that the optimal WWI cut-off points for predicting degraded TBS are approximately 11.25 cm/√kg, highlighting thresholds for fracture risk.

Indexed as

Bone fractureObeseTrabecular bone scoreType 2 diabetesWeight-adjusted waist index

Identifiers

PMID40442819
PMCPMC12121163

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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.