scholarly journals Ethnic Differences in the Association Between Body Mass Index and Type 2 Diabetes Risk: A Meta-Analysis of Prospective Cohort Studies

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1253-1253
Author(s):  
Maria Tinajero ◽  
Sarah Jarvis ◽  
Jiayue Yu ◽  
Tauseef Khan ◽  
Vasanti Malik ◽  
...  

Abstract Objectives The association between body mass index (BMI) and total body adiposity differs across ethnic groups. For instance, South Asians (SA) and East Asians (EA) have lower body fat for a given BMI level than Europeans, while the opposite is true for African-Caribbeans (AC). This suggests that the relationship between BMI and type 2 diabetes (T2D) risk may also vary depending on ethnicity. We conducted a meta-analysis to investigate whether the association between BMI and the risk of T2D differs across ethnic groups. Methods MEDLINE, EMBASE and Web of Science were searched up to July 2020. We included prospective cohort studies of >2 years, which investigated the association between BMI and T2D incidence among adults of a specified ethnicity. Linear and non-linear dose-response meta-analyses were performed using random effects models, with subgroup analyses by ethnicity. The heterogeneity among studies was estimated using the Cochran Q test and I2 statistic. Study quality was assessed with the Newcastle-Ottawa Scale. Results 54 studies were included. Cohorts were stratified into the following ethnic subgroups: AC (N = 67,453), EA (N = 1,012,135), European (N = 206,424), Indigenous (N = 10,533), Latin American (LA) (N = 4,669), SA (N = 9,395), and Southeast Asian (SEA) (N = 51,129). Linear dose-response associations between 1 kg/m2 increase in BMI and T2D were observed for the SEA (RR = 1.26; 95% CI, 1.10, 1.30) and SA (RR = 1.11; 95% CI: 1.04, 1.19) subgroups with no evidence of departure from linearity. Associations departed from linearity for all other subgroups. At a BMI level of 30 kg/m2, the non-linear dose-response curves for each of the other subgroups displayed the following risk ratios; AC: RR = 3.13 (95% CI, 1.95, 5.02), EA: RR = 2.39 (95% CI, 1.96, 2.92), European: RR = 7.41 (95% CI, 3.88, 14.18), Indigenous: RR = 8.15 (95% CI, 6.07; 10.95), and LA: RR = 12.82 (95% CI, 5.50, 29.92). For all subgroups, there was a high degree of interstudy heterogeneity (I2 > 75%). Conclusions Our findings indicated that the association between BMI and the risk of T2D differs across ethnic groups, suggesting that ethnic-specific BMI cut-offs could be helpful in identifying cardiometabolic risk profiles across different populations. Funding Sources Canadian Institutes for Health Research.

2020 ◽  
Vol 46 (5) ◽  
pp. 345-352 ◽  
Author(s):  
Xiu Yang ◽  
Yuqian Li ◽  
Chongjian Wang ◽  
Zhenxing Mao ◽  
Wen Zhou ◽  
...  

Diabetes Care ◽  
2021 ◽  
Vol 44 (9) ◽  
pp. 2173-2181 ◽  
Author(s):  
Seyed Mohammad Mousavi ◽  
Yahya Jalilpiran ◽  
Elmira Karimi ◽  
Dagfinn Aune ◽  
Bagher Larijani ◽  
...  

2018 ◽  
Vol 149 (1) ◽  
pp. 106-113 ◽  
Author(s):  
Aurélie Ballon ◽  
Manuela Neuenschwander ◽  
Sabrina Schlesinger

ABSTRACT Background Epidemiologic studies have indicated that breakfast skipping is associated with risk of type 2 diabetes. However, the shape of the dose-response relation and the influence of adiposity on this association have not been reported. Objective We investigated the association between breakfast skipping and risk of type 2 diabetes by considering the influence of the body mass index (BMI). Methods In this systematic review and meta-analysis, PubMed and Web of Science were searched up to August 2017. Prospective cohort studies on breakfast skipping and risk of type 2 diabetes in adults were included. Summary RRs and 95% CIs, without and with adjustment for BMI, were estimated with the use of a random-effects model in pairwise and dose-response meta-analyses. Results In total 6 studies, based on 96,175 participants and 4935 cases, were included. The summary RR for type 2 diabetes comparing ever with never skipping breakfast was 1.33 (95% CI: 1.22, 1.46, n = 6 studies) without adjustment for BMI, and 1.22 (95% CI: 1.12, 1.34, n = 4 studies) after adjustment for BMI. Nonlinear dose-response meta-analysis indicated that risk of type 2 diabetes increased with every additional day of breakfast skipping, but the curve reached a plateau at 4–5 d/wk, showing an increased risk of 55% (summary RR: 1.55; 95% CI: 1.41, 1.71). No further increase in risk of type 2 diabetes was observed after 5 d of breakfast skipping/wk (P for nonlinearity = 0.08). Conclusions This meta-analysis provides evidence that breakfast skipping is associated with an increased risk of type 2 diabetes, and the association is partly mediated by BMI.


Oncotarget ◽  
2017 ◽  
Vol 8 (59) ◽  
pp. 100603-100613 ◽  
Author(s):  
Yang Peng ◽  
Guo-Chao Zhong ◽  
Qiao Mi ◽  
Kejia Li ◽  
Ao Wang ◽  
...  

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