scholarly journals Circulating magnesium levels and incidence of coronary heart diseases, hypertension, and type 2 diabetes mellitus: a meta-analysis of prospective cohort studies

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Jiang Wu ◽  
Pengcheng Xun ◽  
Qingya Tang ◽  
Wei Cai ◽  
Ka He
2013 ◽  
Vol 27 (13) ◽  
pp. NP6-NP15 ◽  
Author(s):  
Kai Guo ◽  
Yibo Jiang ◽  
Zhiwen Zhou ◽  
Yigang Li

Background The consumption of nuts was reported to be associated with risk of hypertension and type 2 diabetes mellitus (T2DM), but the results were inconclusive. The aim of this study was to systematically examine longitudinal studies investigating nut intake in relation to risk of hypertension and T2DM. Methods A systematic search of the PubMed and EMBASE databases to 31 March 2013 was performed. Reference lists of retrieved articles were also screened. Summary relative risks (SRRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. Q and I2 statistics were used to examine between-study heterogeneity. Results A total of nine prospective cohort studies (three for hypertension and six for T2DM) were identified. Using random effects models, we found that based on the highest vs lowest analysis, nut consumption were inversely associated with risk of hypertension (SRR = 0.84, 95% CI: 0.76–0.93, pheterogeneity = 0.831, I2 = 0%). Dose-response analyses indicated that nut consumption at more than two servings/wk, but not ne serving/wk, had a preventative role in the hypertension. In addition, nut consumption was not associated with risk of T2DM (SRRs = 0.98, 95% CI: 0.84–1.15; pheterogeneity = 0.008, I2 = 67.7%) on the basis of the highest vs lowest analysis. This null association was also shown in the dose-response analysis. Conclusion In our meta-analysis, nut consumption is found to be inversely associated with hypertension risk but is not associated with the risk of T2DM.


2014 ◽  
Vol 171 (5) ◽  
pp. R173-R182 ◽  
Author(s):  
Bin Wang ◽  
Donghua Xu ◽  
Zhaohai Jing ◽  
Dawei Liu ◽  
Shengli Yan ◽  
...  

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.


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