The association between curry-rice consumption and hypertension, type 2 diabetes, and depression: The findings from KNHANES 2012–2016

Author(s):  
Hai Duc Nguyen ◽  
Hojin Oh ◽  
Min-Sun Kim
Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Emily A Hu ◽  
Qi Sun ◽  
An Pan ◽  
Vasanti Malik

Objectives: To summarize evidence regarding the association between white rice consumption and risk of type 2 diabetes and to quantify the potential dose-response relationship. Design: Meta-analysis of prospective cohort studies. Data Sources: We searched MEDLINE and EMBASE databases for articles published through July 2011 using keywords that included both rice intake and diabetes. We further searched references of included original studies. Study Selection: Prospective cohort studies that reported risk estimates of type 2 diabetes by white rice intake levels were selected for inclusion. Data Synthesis: Relative risks were pooled using a fixed-effects model. We also modeled the dose-response relationship utilizing data from all white rice intake categories in each study. Results: We identified 4 articles that included 7 distinct prospective cohort analyses for this study. A total of 13,284 incident cases of type 2 diabetes were ascertained among 352,384 participants with follow-up periods ranging from 4 to 22 years. The pooled relative risk (RR) for type 2 diabetes was 1.21 (95% confidence interval [CI], 1.08-1.34) comparing the highest with the lowest category of white rice intake. In addition, the dose-response meta-analysis suggested a linear association between white rice consumption and risk of type 2 diabetes: the RR (95% CI) was 1.10 (1.07, 1.14; P <0.001) for each serving/d (∼158 grams for a serving of cooked rice) increased intake of white rice. Conclusion: Frequent consumption of white rice is associated with a moderately increased risk of type 2 diabetes. These findings support the recommendation that consumption of white rice should be reduced in place of healthier options such as brown rice and other whole grains to lower risk of diabetes.


2015 ◽  
Vol 18 (14) ◽  
pp. 2592-2599 ◽  
Author(s):  
Seila Sar ◽  
Geoffrey C Marks

AbstractObjectiveRice consumption patterns are considered an important risk factor for diabetes in many countries. The present study aimed to model the impact of a shift in consumption of white rice from current to appropriately reduced levels and a shift in rice variety from one with a high glycaemic index to one with a low glycaemic index, on the burden of type 2 diabetes in Cambodia.DesignPrevent Plus software was used to model the impact of selected changes to white rice consumption on the burden of type 2 diabetes. Data used for modelling included: demographic projections, relative risk estimates for white rice consumption and diabetes, diabetes incidence, rice type and quantities consumed. The 10-year projections were based on different scenarios of changes in risk factors.ResultsWith no intervention, 10-year projections showed that total new diabetes cases will increase from 11 315 (9·1 per 10 000 person-years) for the year 2011 to 14 852 new cases (12·4 per 10 000 person-years) in 2020. However, this increase will be reduced by 27 % (average across 10 years) with a change in rice variety from Phka Rumdual to IR66 and by 26 % (average across 10 years) with a 25 % reduction in quantity from current consumption levels.ConclusionsChanging rice consumption patterns has potential for an important impact on diabetes risk, with a change of rice variety having a similar impact on the burden of diabetes in communities consuming rice with a high glycaemic index as a 25 % reduction in the quantity of rice consumed. Similar effects are likely for other countries with rice as a staple food, diversity in rice varieties and high incidence of diabetes.


2013 ◽  
Vol 32 (3) ◽  
pp. 481-484 ◽  
Author(s):  
Federico Soriguer ◽  
Natalia Colomo ◽  
Gabriel Olveira ◽  
Eduardo García-Fuentes ◽  
Isabel Esteva ◽  
...  

BMJ ◽  
2012 ◽  
Vol 344 (mar15 3) ◽  
pp. e1454-e1454 ◽  
Author(s):  
E. A. Hu ◽  
A. Pan ◽  
V. Malik ◽  
Q. Sun

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