Sugar and artificially sweetened beverages and risk of obesity, type 2 diabetes mellitus, hypertension, and all-cause mortality: a dose–response meta-analysis of prospective cohort studies

2020 ◽  
Vol 35 (7) ◽  
pp. 655-671 ◽  
Author(s):  
Pei Qin ◽  
Quanman Li ◽  
Yang Zhao ◽  
Qing Chen ◽  
Xizhuo Sun ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Sweetened Beverages ◽  
All Cause Mortality ◽  
Artificially Sweetened Beverages

scholarly journals Sugar- and Artificially Sweetened Beverages Consumption Linked to Type 2 Diabetes, Cardiovascular Diseases, and All-Cause Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2636
Author(s):  
Yantong Meng ◽  
Siqi Li ◽  
Jabir Khan ◽  
Zijian Dai ◽  
Chang Li ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Diseases ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Prospective Cohort Studies ◽  
Sweetened Beverages ◽  
Linear Relationships ◽  
All Cause Mortality ◽  
Artificially Sweetened Beverages

Although studies have examined the association between habitual consumption of sugar- (SSBs) and artificially sweetened beverages (ASBs) and health outcomes, the results are inconclusive. Here, we conducted a dose-response meta-analysis of prospective cohort studies in order to summarize the relationship between SSBs and ASBs consumption and risk of type 2 diabetes (T2D), cardiovascular diseases (CVDs), and all-cause mortality. All relevant articles were systematically searched in PubMed, Embase, and Ovid databases until 20 June 2020. Thirty-four studies met the inclusion criteria and were eligible for analysis. Summary relative risks (RRs) and 95% confidence intervals (95% CI) were estimated using random effects or fixed-effects model for highest versus lowest intake categories, as well as for linear and non-linear relationships. With each additional SSB and ASB serving per day, the risk increased by 27% (RR: 1.27, 95%CI: 1.15–1.41, I2 = 80.8%) and 13% (95%CI: 1.03–1.25, I2 = 78.7%) for T2D, 9% (RR: 1.09, 95%CI: 1.07–1.12, I2 = 42.7%) and 8% (RR: 1.08, 95%CI: 1.04–1.11, I2 = 45.5%) for CVDs, and 10% (RR: 1.10, 95%CI: 0.97–1.26, I2 = 86.3%) and 7% (RR: 1.07, 95%CI: 0.91–1.25, I2 = 76.9%) for all-cause mortality. Linear relationships were found for SSBs with T2D and CVDs. Non-linear relationships were found for ASBs with T2D, CVDs, and all-cause mortality and for SSBs with all-cause mortality. The findings from the current meta-analysis indicate that increased consumption of SSBs and ASBs is associated with the risk of T2D, CVDs, and all-cause mortality.

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.

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