Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies

Qiu, Shanhu1,2,3; Cai, Xue4; Yuan, Yang5,6; Xie, Bo1,2,9,10; Sun, Zilin5,6,9,10; Wu, Tongzhi7,8

2022-07-01

10.1016/j.diabres.2022.109939

DIABETES RESEARCH AND CLINICAL PRACTICE   Impact Factor & Quartile

0168-8227

1872-8227

Aims: Greater muscle quantity (muscle mass and area) is associated with better glycemic control in adults, but its longitudinal association with risk of diabetes remains debatable. We therefore conducted this meta-analysis to address this issue. Methods: We performed a literature search and included cohort studies that measured muscle quantity objectively by imaging-based approaches and reported their association with risk of diabetes. Study-specific data were pooled using a random-effects model. Results: Thirty-three unique datasets, with 10 on total muscle quantity, and 23 on regional (8 on appendicular, 4 on leg, 6 on thigh, and 5 on abdominal) muscle quantity, were included. Muscle quantity was all measured by dual energy x-ray absorptiometry or computed tomography. Most datasets revealed nonsignificant outcomes. Meta-analysis showed collectively that the risk of diabetes was not related to total or regional muscle quantity in either normalized or unnormalized form, with the hazard ratios ranged from 0.92 to 1.09 per every 1 standard deviation higher of corresponding muscle quantity in general (all P > 0.10). Neither sex nor weight status affected the relationship. Conclusions: Our study did not provide adequate evidence to support the concept that large muscle quantity was associated with low risk of diabetes in population-based cohort studies.

Muscle quantity Muscle quality Diabetes Meta-analysis Body composition

SCI

English

Others

Guangdong Basic and Applied Basic Research Foundation[2020A1515111021] ; National Key R&D Program of China[2016YFC1305700] ; Nanjing Special Fund for Health Science and Technology Development[YKK18261]

Endocrinology & Metabolism

Endocrinology & Metabolism

WOS:000817968000015

ELSEVIER IRELAND LTD

CLINICAL MEDICINE

Web of Science

1.Southeast Univ, Zhongda Hosp, Inst Diabet, Dept Gen Pract, Nanjing, Peoples R China
2.Southeast Univ, Zhongda Hosp, Res & Educ Ctr Gen Practice, Nanjing, Peoples R China
3.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Peoples R China
4.Southeast Univ, Zhongda Hosp, Sch Med, Dept Nursing Management, Nanjing, Peoples R China
5.Zhongda Hosp, Dept Endocrinol, Nanjing, Peoples R China
6.Southeast Univ, Inst Diabet, Sch Med, Nanjing, Peoples R China
7.Univ Adelaide, Adelaide Med Sch, Adelaide, Australia
8.Univ Adelaide, Ctr Res Excellence CRE Translating Nutr Sci Good H, Adelaide, Australia
9.Zhongda Hosp, Dept Gen Practice, Nanjing, Peoples R China
10.Southeast Univ, Inst Diabet, Sch Med, Dingjiaqiao 87, Nanjing 210009, Peoples R China

Qiu, Shanhu,Cai, Xue,Yuan, Yang,et al. Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies[J]. DIABETES RESEARCH AND CLINICAL PRACTICE,2022,189.

Qiu, Shanhu,Cai, Xue,Yuan, Yang,Xie, Bo,Sun, Zilin,&Wu, Tongzhi.(2022).Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies.DIABETES RESEARCH AND CLINICAL PRACTICE,189.

Qiu, Shanhu,et al."Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies".DIABETES RESEARCH AND CLINICAL PRACTICE 189(2022).