scholarly journals Averting Obesity and Type 2 Diabetes in India through Sugar-Sweetened Beverage Taxation: An Economic-Epidemiologic Modeling Study

2014 ◽  
pp. 289-320
PLoS Medicine ◽  
2014 ◽  
Vol 11 (1) ◽  
pp. e1001582 ◽  
Author(s):  
Sanjay Basu ◽  
Sukumar Vellakkal ◽  
Sutapa Agrawal ◽  
David Stuckler ◽  
Barry Popkin ◽  
...  

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
An Pan ◽  
Vasanti Malik ◽  
Walter C Willett ◽  
Frank B Hu

Introduction: Some caloric beverages (e.g., sugar-sweetened beverage and fruit juice) have been associated with an elevated risk of type 2 diabetes; therefore, substitution of these caloric beverages with non-caloric beverages such as plain water may be important for diabetes prevention. Few previous studies have examined the association between plain water or total beverage intake and risk of type 2 diabetes. Methods: We followed 82,900 women, aged 27-45 years and free of diabetes, cardiovascular disease and cancer at baseline, from 1991 to 2007. Diet, including various beverages, was assessed by food frequency questionnaires and updated every four years. Incident type 2 diabetes cases were confirmed by supplementary questionnaires. Cox proportional hazard models were used to calculate relative risks (RRs) and corresponding 95% confidence intervals (CIs), and we estimated the effect of “substituting” a serving of one beverage for another by including both as continuous variables in the same multivariable model. The difference in their beta coefficients and their variances and covariance were used to estimate the RR and 95% CI for the substitution effect. Results: During 1,294,196 person-years of follow-up, we documented 2,980 incident T2DM cases. After adjustment for age and body mass index, compared with the reference group (<1 glass/d), the relative risks (RRs) and 95% confidence intervals (CIs) of type 2 diabetes according to categories of plain water consumption were 0.91 (0.81-1.02) for 1 glass/d, 0.91 (0.82-1.01) for 2-3 glasses/d, 0.98 (0.87-1.11) for 4-5 glasses/d, and 1.02 (0.89-1.18) for 6 or more glasses/d (P-for-trend=0.51). Further adjustment for other diabetes risk factors did not substantially alter the RRs. We estimated that substituting one serving/d of plain water for one serving/d of sugar-sweetened beverage or fruit juice was associated with a 10% (95% CI, 6%-13%) and 13% (95% CI, 7%-18%) lower risk of type 2 diabetes, respectively. In this cohort, no association was found for total beverage intake and risk of type 2 diabetes: compared with women who drank less than 6 servings/d of total beverage, the RRs (95% CIs) were 0.97 (0.87-1.09), 0.98 (0.88-1.10), 1.01 (0.89-11.5), and 0.99 (0.86-1.14) for women drank 6-8, 8-10, 10-12, and ≥12 servings/d of total beverages (P-for-trend=0.83). Conclusions: Increasing consumption of water per se was not associated with risk of type 2 diabetes, but substituting plain water for sugar-sweetened beverage or fruit juice was associated with a significantly lower risk of type 2 diabetes.


Circulation ◽  
2019 ◽  
Vol 139 (Suppl_1) ◽  
Author(s):  
Chandra L Jackson ◽  
Arnita F Norwood ◽  
Mario Sims ◽  
W. Braxton Jackson ◽  
Adolfo Correa ◽  
...  

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1040-1040
Author(s):  
Danielle Haslam ◽  
Jun Li ◽  
Marta Guasch-Ferre ◽  
Liming Liang ◽  
Clary B Clish ◽  
...  

Abstract Objectives Sugar-sweetened beverage (SSB) consumption is associated with a higher risk of type 2 diabetes (T2D), but the metabolic changes linking SSB consumption to T2D are not fully understood. Thus, we aimed to identify a plasma metabolomic signature of SSB consumption and evaluate its association with incident T2D. Methods We used liquid chromatography–mass spectrometry to measure plasma metabolites (&gt;200) among 3,434 participants from three US cohorts: Nurses’ Health Study (NHS), NHS II, and Health Professionals Follow-up Study (HPFS). SSB consumption (servings/day; sodas, fruit punches, and other sugary drinks) was estimated from food frequency questionnaires. We used elastic net regression with 10-fold-cross-validation to identify metabolites associated with higher SSB consumption among a training set of participants (n = 2068) and replicated the association in a testing set (n = 1366). A metabolomic signature score was calculated as the weighted sum of SSB-associated metabolites. Pearson correlation (r) coefficients and 95% confidence intervals (CI) between the metabolomic signature and self-reported SSB consumption were calculated. We used multivariable Cox regression models to estimate hazard ratios (HR) and CI of the identified metabolomic signature with incident T2D among all participants. Results We identified an SSB plasma metabolomic signature of 71 metabolites, primarily lipids and amino acids. Pearson correlation (r) coefficients between self-reported SSBs and the plasma metabolomic signature were 0.18 (95% CI: 0.14, 0.22; P &lt; 0.0001) and 0.19 (95% CI: 0.14, 0.24; P &lt; 0.0001) in the training and testing sets, respectively. After a median follow-up of 22 years, the metabolomic signature was significantly associated with higher T2D risk [HR for quartile (Q) 1 versus 4 (95% CI): 1.45 (1.02, 2.05); P = 0.04] in models adjusting for factors related to demographics, lifestyle, diet, and body mass index. The association persisted when further adjusting for self-reported SSB consumption [HR for Q1 versus Q4 (95% CI): 1.42 (1.00, 2.02); P = 0.05]. Conclusions We identified a novel metabolomic signature of SSB consumption in US adults that associated with elevated incident T2D risk. This signature may reflect both SSB consumption and metabolic changes related to T2D risk, although residual confounding cannot be ruled out. Funding Sources NIH.


PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0125543 ◽  
Author(s):  
Rinki Murphy ◽  
Simon Thornley ◽  
Janak de Zoysa ◽  
Lisa K. Stamp ◽  
Nicola Dalbeth ◽  
...  

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