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Per capita sugar consumption and prevalence of diabetes mellitus – global and regional associations

机译:人均糖消费和糖尿病患病率 - 全球和区域协会

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Background Diabetes mellitus (DM) is a rampant epidemic worldwide. Causative factors and predisposition is postulated to be multi-factorial in origin and include changing life styles and diet. This paper examines the relationship between per capita sugar consumption and diabetes prevalence worldwide and with regard to territorial, economic and geographical regions. Methods Data from 165 countries were extracted for analysis. Associations between the population prevalence of diabetes mellitus and per capita sugar consumption (PCSC) were examined using Pearson’s correlation coefficient (PCC) and multivariate linear regression analysis with, infant mortality rates (IMR, as an general index maternal and child care), low birth weight (LBW, as an index of biological programming) and obesity prevalence included in the model as confounders. Results Despite the estimates for PCSC being relatively crude, a strong positive correlation coefficient (0.599 with p?2?=?0.458) in the multivariate backward linear regression model. The linear regression model was repeated with the data grouped according to the continent. Sugar was noted to be an independent association with DM only with regard to Asia (p? Conclusions These results indicate independent associations between DM prevalence rates and per capita sugar consumption both worldwide and with special regard to the Asian region. Prospective cohort studies are proposed to explore these associations further.
机译:背景技术糖尿病(DM)是全世界猖獗的流行病。致原因和易感性被假定为原产地的多因素,包括改变生活方式和饮食。本文探讨了全球人均糖消费与糖尿病患病率的关系,以及领土,经济和地理区域。方法提取165个国家的数据进行分析。使用Pearson的相关系数(PCC)和多变量线性回归分析检查糖尿病患者患有糖尿病患者和人均糖消费(PCSC)之间的关联,婴儿死亡率(IMR,作为一般指数母婴幼儿),低出生重量(LBW,作为生物编程指数)和模型中包含的肥胖普遍存在的混淆。结果尽管PCSC的估计是相对原油的估计,在多变量后向线性回归模型中具有强大的正相关系数(0.599,具有P≤2 =Δ0.458)。根据大陆的数据重复线性回归模型。糖被认为是与DM的独立关联,只有在亚洲(P?结论这些结果表明DM流行率和全球人均糖消费的独立关联,以及对亚洲地区的特殊考虑。提出了未来的队列研究进一步探索这些关联。

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