10 research outputs found

    Issues of Rice Policy in the Lower Mekong Basin

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    The commercialisation of rice farming in the Lower Mekong Basin has been at the centre of that region’s remarkable journey out of poverty and food insecurity since the 1970s. A development strategy that centred on opening rice farming to productivity-enhancing investments had the double effect of increasing the incomes of large numbers of poor rural households while generating a marketable surplus to supply the rapidly growing urban population at low prices. The growth in export demand further added to the incomes of rice farmers in the more productive parts of the Basin. Thus, a development pathway emerged that was driven by political necessity to be broadly based and inclusive. However, the very success of this pathway has created new policy issues, requiring adjustments in the long-term emphasis on the intensification of smallholder rice production. The growth in production has led to a decline in prices while costs have been increasing. This has led to pressure from rice farmers for price support. Related policy issues include the persistence of smallholdings, the growing preference for more diversified farming systems, the role of the processing and exporting sectors, and the changing physical environment in the Basin. This chapter examines policies influencing access to resources (specifically, to land, water, and technology), the management of farm activities (whether specialised in production of high-quality rice or diversified into production of non-rice crops), and the appropriation of value (as determined by interventions in the marketing and pricing of paddy and rice)

    Prevalence of diabetes and predictions of its risks using anthropometric measures in southwest rural areas of China

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    <p>Abstract</p> <p>Background</p> <p>To examine the prevalence of diabetes and prediabetes in Songming county, Yunnan province, South-west China and examine influences of anthropometric indicators on diabetic risk.</p> <p>Methods</p> <p>This study was a population based cross-sectional study of 1031 subjects in Songming County aged 30 years and older. Age-standardization was performed by using the 2010 Songming population as the standard population. After an overnight fasting, participants underwent an oral glucose tolerance test (OGTT), and venous blood glucose levels were measured to identify diabetes and prediabetes. Physicians completed questionnaires and blood pressure measurements; trained nurses measured anthropometric variables. Age-adjusted logistic regression models were used to assess the association between anthropometric variables and diabetes.</p> <p>Results</p> <p>Total prevalences of diabetes and prediabetes were 10.0% and 11.6%, respectively. In women, prevalence of diabetes and prediabetes significantly increased with body mass index (BMI),waist hip ratio (WHR), and waist-to-height ratio (WHtR). But in men, prevalence of diabetes and prediabetes only significantly increased with WHR and WHtR. Compared to 1<sup>st</sup> WHR tertile in women, there was a nearly tenfold increase in the risk of diabetes with 3<sup>rd</sup> WHR tertile (OR 10.50, 95% CI 3.95-27.86). Men with 3<sup>rd</sup> BMI tertile had 4.8-fold risk of getting diabetes compared to men with 1<sup>st</sup> WHtR tertile (OR 4.79, 95% CI 1.88-12.26). Only WHtR had significantly higher receiver operating characteristic (ROC) area than BMI in total men (0.668 vs. 0.561, p < 0.05). And in total women, only WHR had significantly higher ROC area than BMI (0.723 vs. 0.628, p < 0.05). In the partial correlation analysis controlling for waist circumference, only WHR had significant correlation with fasting plasma glucose (r = 0.132, p = 0.002) and 2-h plasma glucose (r = 0.162, p = 0.000) in women, and WHtR had a much stronger association with both fasting plasma glucose (r = 0.305, P = 0.000) and 2 h plasma glucose (r = 0.303, P = 0.000) than WHR in men.</p> <p>Conclusion</p> <p>High prevalence of diabetes and prediabetes were found in this underdeveloped region. About half of total subjects with diabetes were undiagnosed. The association of obesity indices and diabetic risk factors varied with gender. The strongest predictors of diabetes were WHR for the female subgroup and WHtR for the male subgroup.</p
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