scholarly journals Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies

2011 ◽  
Vol 65 (9) ◽  
pp. 1027-1031 ◽  
Author(s):  
X Tong ◽  
J-Y Dong ◽  
Z-W Wu ◽  
W Li ◽  
L-Q Qin
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Dairy Consumption

scholarly journals Association between metformin and the risk of gastric cancer in patients with type 2 diabetes mellitus: a meta-analysis of cohort studies

Oncotarget ◽  
2017 ◽  
Vol 8 (33) ◽  
pp. 55622-55631 ◽  
Author(s):  
Xue-Liang Zhou ◽  
Wen-Hua Xue ◽  
Xian-Fei Ding ◽  
Li-Feng Li ◽  
Meng-Meng Dou ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gastric Cancer ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Meta Analysis

scholarly journals MECHANISMS IN ENDOCRINOLOGY: Effect of long-term exposure to air pollution on type 2 diabetes mellitus risk: a systemic review and meta-analysis of cohort studies

2014 ◽  
Vol 171 (5) ◽  
pp. R173-R182 ◽  
Author(s):  
Bin Wang ◽  
Donghua Xu ◽  
Zhaohai Jing ◽  
Dawei Liu ◽  
Shengli Yan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Air Pollution ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Elevated Risk ◽  
Prospective Cohort Studies

ObjectiveTo assess the effect of long-term exposure to air pollution on type 2 diabetes risk, a meta-analysis of prospective cohort studies was performed.MethodsLiterature search was conducted with Pubmed, Embase, and Web of Science for prospective cohort studies investigating the association of type 2 diabetes risk with increments in particulate matter (PM, diameter <2.5 μm (PM2.5) or <10 μm (PM10)) or nitrogen dioxide (NO2). We used a random-effects model to calculate the overall relative risk (RR) with 95% CI.ResultsOf 808 identified articles, ten cohort studies were finally included, which involved a total of 2 371 907 participants and 21 095 incident cases of type 2 diabetes. Elevated risk of type 2 diabetes was significantly associated with long-term exposures to high levels of PM2.5 (RR=1.28, 95% CI 1.06–1.55,P=0.009,I2=83.5%), PM10 (RR=1.15, 95% CI 1.02–1.30,P=0.022,I2=0%), and NO2(RR=1.12, 95% CI 1.02–1.23,P=0.015,I2=63.5%). When using standardized risk estimates, the RRs of type 2 diabetes were significant for increments in concentrations of PM2.5 (1.39 per 10 μg/m3increment, 95% CI 1.14–1.68,P=0.001), PM10 (1.34 per 10 μg/m3increment, 95% CI 1.22–1.47,P<0.001), and NO2(1.11 per 10 μg/m3increment, 95% CI 1.07–1.16,P<0.001). No obvious evidence of publication bias was observed.ConclusionLong-term exposure to high levels of main air pollutants is significantly associated with elevated risk of type 2 diabetes mellitus.

scholarly journals Empirically derived dietary patterns and incident type 2 diabetes mellitus: a systematic review and meta-analysis on prospective observational studies

2015 ◽  
Vol 19 (2) ◽  
pp. 230-241 ◽  
Author(s):  
Zahra Maghsoudi ◽  
Reza Ghiasvand ◽  
Amin Salehi-Abargouei
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Dietary Patterns ◽  
Meta Analysis ◽  
Diabetes Risk ◽  
Phytochemical Content

AbstractObjectiveTo systematically review prospective cohort studies about the association between dietary patterns and type 2 diabetes mellitus (T2DM) incidence, and to quantify the effects using a meta-analysis.DesignDatabases such as PubMed, ISI Web of Science, SCOPUS and Google Scholar were searched up to 15 January 2015. Cohort studies which tried to examine the association between empirically derived dietary patterns and incident T2DM were selected. The relative risks (RR) and their 95 % confidence intervals for diabetes among participants with highest v. lowest adherence to derived dietary patterns were incorporated into meta-analysis using random-effects models.ResultsTen studies (n 404 528) were enrolled in the systematic review and meta-analysis; our analysis revealed that adherence to the ‘healthy’ dietary patterns significantly reduced the risk of T2DM (RR=0·86; 95 % CI 0·82, 0·90), while the ‘unhealthy’ dietary patterns adversely affected diabetes risk (RR=1·30; 95 % CI 1·18, 1·43). Subgroup analysis showed that unhealthy dietary patterns in which foods with high phytochemical content were also loaded did not significantly increase T2DM risk (RR=1·06; 95 % CI 0·87, 1·30).Conclusions‘Healthy’ dietary patterns containing vegetables, fruits and whole grains can lower diabetes risk by 14 %. Consuming higher amounts of red and processed meats, high-fat dairy and refined grains in the context of ‘unhealthy’ dietary patterns will increase diabetes risk by 30 %; while including foods with high phytochemical content in these patterns can modify this effect.

scholarly journals Consumption of Dairy Products in Relation to Type 2 Diabetes Mellitus in Chinese People: The Henan Rural Cohort Study and an Updated Meta-Analysis

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3827
Author(s):  
Mengying Fan ◽  
Yuqian Li ◽  
Chongjian Wang ◽  
Zhenxing Mao ◽  
Lulu Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Dairy Intake ◽  
Dairy Consumption

Recent studies on whether dairy consumption is associated with type 2 diabetes mellitus (T2DM) have yielded inconsistent results, so we explored the relationship between dairy consumption and T2DM through a large-sample, cross-sectional study and a meta-analysis. In the meta-analysis, summary relative risks (RRs) of 23 articles were compiled with a random effects model, and a restricted cubic spline regression model was used to explore whether there is a nonlinear relationship between dairy intake and T2DM risk. This cross-sectional study used baseline data from 38,735 participants of the Henan Rural Cohort study and the association between dairy consumption and T2DM was analyzed by a logistic regression model. The meta-analysis revealed a borderline negative significant association between total dairy intake and risk of T2DM, the RR and 95% confidence interval (CI) was 0.94; (0.89, 1.00), and the risk was lowest at 270 g daily dairy intake. In the cross-sectional study, there were 3654 T2DM patients and 68.3 percent of the respondents had no dairy intake. The average intake of dairy in the total population was 12 g per day. Fully adjusted analyses suggested positive associations, with an odds ratio (OR) comparing the highest with the zero intake of 1.34 (95% CI: 1.22, 1.48) for all participants, which was unaffected by sex. Dairy intake in rural areas of Henan province is low, and we found, in the context of overall low dairy intake, that a high intake was positively associated with T2DM, which is inconsistent with the meta-analysis results suggesting that dairy has marginal protective effects against T2DM.

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