scholarly journals Association between sugar-sweetened and artificially sweetened soft drinks and type 2 diabetes: systematic review and dose–response meta-analysis of prospective studies

2014 ◽  
Vol 112 (5) ◽  
pp. 725-734 ◽  
Author(s):  
D. C. Greenwood ◽  
D. E. Threapleton ◽  
C. E. L. Evans ◽  
C. L. Cleghorn ◽  
C. Nykjaer ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dose Response ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Lifestyle Factors ◽  
Soft Drinks ◽  
Reverse Causality ◽  
Increased Risk ◽  
Causal Pathway

The intake of sugar-sweetened soft drinks has been reported to be associated with an increased risk of type 2 diabetes, but it is unclear whether this is because of the sugar content or related lifestyle factors, whether similar associations hold for artificially sweetened soft drinks, and how these associations are related to BMI. We aimed to conduct a systematic literature review and dose–response meta-analysis of evidence from prospective cohorts to explore these issues. We searched multiple sources for prospective studies on sugar-sweetened and artificially sweetened soft drinks in relation to the risk of type 2 diabetes. Data were extracted from eleven publications on nine cohorts. Consumption values were converted to ml/d, permitting the exploration of linear and non-linear dose–response trends. Summary relative risks (RR) were estimated using a random-effects meta-analysis. The summary RR for sugar-sweetened and artificially sweetened soft drinks were 1·20/330 ml per d (95 % CI 1·12, 1·29,P< 0·001) and 1·13/330 ml per d (95 % CI 1·02, 1·25,P= 0·02), respectively. The association with sugar-sweetened soft drinks was slightly lower in studies adjusting for BMI, consistent with BMI being involved in the causal pathway. There was no evidence of effect modification, though both these comparisons lacked power. Overall between-study heterogeneity was high. The included studies were observational, so their results should be interpreted cautiously, but findings indicate a positive association between sugar-sweetened soft drink intake and type 2 diabetes risk, attenuated by adjustment for BMI. The trend was less consistent for artificially sweetened soft drinks. This may indicate an alternative explanation, such as lifestyle factors or reverse causality. Future research should focus on the temporal nature of the association and whether BMI modifies or mediates the association.

scholarly journals MECHANISMS IN ENDOCRINOLOGY: Parity and risk of type 2 diabetes: a systematic review and dose-response meta-analysis

2016 ◽  
Vol 175 (5) ◽  
pp. R231-R245 ◽  
Author(s):  
Peiyun Li ◽  
Zhilei Shan ◽  
Li Zhou ◽  
Manling Xie ◽  
Wei Bao ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Dose Response ◽  
Meta Analysis ◽  
Epidemiologic Studies ◽  
Diabetes Risk ◽  
Cross Sectional ◽  
Nulliparous Women ◽  
Increased Risk

Objective Epidemiologic studies regarding the association between parity and risk of type 2 diabetes have yielded inconsistent results. Therefore, we performed a systematic review and dose-response meta-analysis to determine the relation between parity and type 2 diabetes risk. Methods We searched PubMed and Embase for published epidemiologic studies that assessed the relation between parity and risk of type 2 diabetes up to 31 March 2016. A dose-response random-effects model was used to combine study-specific relative risks (RRs) and 95% confidence intervals (CIs). Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Results Seven cohort studies, 1 case-control study and 9 cross-sectional studies including 296 923 participants were eligible for inclusion. The combined RR for the highest versus lowest category of parity indicated a 54% increment in type 2 diabetes risk (95% CI: 29–83%). In the cubic spline model, a nonlinear association was found between parity and risk of type 2 diabetes (P = 0.02 for nonlinearity). Compared with nulliparous women, the estimated RR (95% CI) of type 2 diabetes for women with one to seven children was 1.01 (0.96–1.07), 1.08 (1.00–1.16), 1.20 (1.12–1.30), 1.32 (1.22–1.42), 1.37 (1.27–1.48), 1.39 (1.26–1.52) and 1.39 (1.23–1.57) respectively. Conclusions Higher parity is significantly associated with an increased risk of type 2 diabetes. Further studies are warranted to fully adjust for the potential confounders and explore the causality between parity and type 2 diabetes risk.

Dietary protein intake and risk of type 2 diabetes: a dose–response meta-analysis of prospective studies

2018 ◽  
Vol 58 (4) ◽  
pp. 1351-1367 ◽  
Author(s):  
Long-Gang Zhao ◽  
Qing-Li Zhang ◽  
Xiao-Li Liu ◽  
Hua Wu ◽  
Jia-Li Zheng ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dose Response ◽  
Prospective Studies ◽  
Dietary Protein ◽  
Protein Intake ◽  
Meta Analysis ◽  
Dietary Protein Intake

scholarly journals Egg consumption and risk of incident type 2 diabetes: a dose–response meta-analysis of prospective cohort studies

2016 ◽  
Vol 115 (12) ◽  
pp. 2212-2218 ◽  
Author(s):  
Martha Tamez ◽  
Jyrki K. Virtanen ◽  
Martin Lajous
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Meta Analysis ◽  
Diabetes Risk ◽  
Incident Type ◽  
Egg Consumption ◽  
Increased Risk ◽  
Incident Type 2 Diabetes

AbstractExperimental data suggest that egg intake could have a beneficial impact on several risk factors for type 2 diabetes. In contrast, some recent epidemiological studies have concluded that egg consumption may increase diabetes risk. We performed a dose–response meta-analysis of prospective cohorts on the relation of egg consumption with incident type 2 diabetes. We searched for cohort studies that assessed egg consumption and diabetes risk up to June 2015. We identified 416 articles and extracted data independently and in duplicate from ten eligible studies. We used random-effects generalised least squares models for pooled dose–response estimation based on thirteen estimates. Our study included 251 213 individuals and 12 156 incident type 2 diabetes cases. Egg intake was associated with incident type 2 diabetes (risk ratio (RR)/egg per d 1·13; 95 % CI 1·04, 1·22). We identified study location as a major source of heterogeneity. For studies conducted in the USA, we observed a stronger association (RR 1·47; 95 % CI 1·32, 1·64), whereas results were null for studies conducted elsewhere. Studies considered to be of high quality yielded null findings (RR 0·94; 95 % CI 0·74, 1·19). The association of egg intake with increased risk of incident type 2 diabetes may be restricted to US cohort studies. There are limited data to support a biological mechanism that could underlie this association; thus, the possibility that these results may be due to residual confounding by dietary behaviours restricted to certain populations cannot be excluded.

scholarly journals Glycemic Index, Glycemic Load, Carbohydrates, and Type 2 Diabetes: Systematic review and dose-response meta-analysis of prospective studies

Diabetes Care ◽  
2013 ◽  
Vol 36 (12) ◽  
pp. 4166-4171 ◽  
Author(s):  
D. C. Greenwood ◽  
D. E. Threapleton ◽  
C. E. L. Evans ◽  
C. L. Cleghorn ◽  
C. Nykjaer ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Dose Response ◽  
Glycemic Index ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Glycemic Load

Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

2018 ◽  
Vol 149 (1) ◽  
pp. 106-113 ◽  
Author(s):  
Aurélie Ballon ◽  
Manuela Neuenschwander ◽  
Sabrina Schlesinger
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Breakfast Skipping ◽  
Increased Risk

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.

The GSTM1 and GSTT1 Null Genotypes Increase the Risk for Type 2 Diabetes Mellitus and the Subsequent Development of Diabetic Complications: A Meta-analysis

2018 ◽  
Vol 15 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Sayantan Nath ◽  
Sambuddha Das ◽  
Aditi Bhowmik ◽  
Sankar Kumar Ghosh ◽  
Yashmin Choudhury
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Subsequent Development ◽  
Asian Population ◽  
Gstm1 Null Genotype ◽  
Increased Risk

Background:Studies pertaining to association of GSTM1 and GSTT1 null genotypes with risk of T2DM and its complications were often inconclusive, thus spurring the present study.Methods:Meta-analysis of 25 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in determining the risk for T2DM and 17 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in development of T2DM related complications were conducted.Results:Our study revealed an association between GSTM1 and GSTT1 null polymorphism with T2DM (GSTM1; OR=1.37;95% CI =1.10-1.70 and GSTT1; OR=1.29;95% CI =1.04-1.61) with an amplified risk of 2.02 fold for combined GSTM1-GSTT1 null genotypes. Furthermore, the GSTT1 null (OR=1.56;95%CI=1.38-1.77) and combined GSTM1-GSTT1 null genotypes (OR=1.91;95%CI=1.25- 2.94) increased the risk for development of T2DM related complications, but not the GSTM1 null genotype. Stratified analyses based on ethnicity revealed GSTM1 and GSTT1 null genotypes increase the risk for T2DM in both Caucasians and Asians, with Asians showing much higher risk of T2DM complications than Caucasians for the same. </P><P> Discussion: GSTM1, GSTT1 and combined GSTM1-GSTT1 null polymorphism may be associated with increased risk for T2DM; while GSTT1 and combined GSTM1-GSTT1 null polymorphism may increase the risk of subsequent development of T2DM complications with Asian population carrying an amplified risk for the polymorphism.Conclusion:Thus GSTM1 and GSTT1 null genotypes increases the risk for Type 2 diabetes mellitus alone, in combination or with regards to ethnicity.

scholarly journals Breakfast skipping and the risk of type 2 diabetes: a meta-analysis of observational studies

2015 ◽  
Vol 18 (16) ◽  
pp. 3013-3019 ◽  
Author(s):  
Huashan Bi ◽  
Yong Gan ◽  
Chen Yang ◽  
Yawen Chen ◽  
Xinyue Tong ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Observational Studies ◽  
Meta Analysis ◽  
Adjusted Relative Risk ◽  
China National Knowledge Infrastructure ◽  
Cross Sectional ◽  
Breakfast Skipping ◽  
Risk Estimates ◽  
Increased Risk

AbstractObjectiveBreakfast skipping has been reported to be associated with type 2 diabetes (T2D), but the results are inconsistent. No meta-analyses have applied quantitative techniques to compute summary risk estimates. The present study aimed to conduct a meta-analysis of observational studies summarizing the evidence on the association between breakfast skipping and the risk of T2D.DesignSystematic review and meta-analysis.SettingRelevant studies were identified by a search of PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI) and SINOMED up to 9 August 2014. We also reviewed reference lists from retrieved articles. We included studies that reported risk estimates (including relative risks, odds ratios and hazard ratios) with 95 % confidence intervals for the association between breakfast skipping and the risk of T2D.SubjectsEight studies involving 106 935 participants and 7419 patients with T2D were included in the meta-analysis.ResultsA pooled adjusted relative risk for the association between exposure to breakfast skipping and T2D risk was 1·21 (95 % CI 1·12, 1·31; P=0·984; I2=0·0 %) in cohort studies and the pooled OR was 1·15 (95 % CI, 1·05, 1·24; P=0·770; I2=0·0 %) in cross-sectional studies. Visual inspection of a funnel plot and Begg’s test indicated no evidence of publication bias.ConclusionsBreakfast skipping is associated with a significantly increased risk of T2D. Regular breakfast consumption is potentially important for the prevention of T2D.

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