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

Download Full-text

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

Public Health Nutrition ◽

10.1017/s1368980015001251 ◽

2015 ◽

Vol 19 (2) ◽

pp. 230-241 ◽

Cited By ~ 30

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.

Download Full-text