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贫穷国家糖尿病发病率最高

来源:生物谷 2016-03-28 20:30

2016年3月21日讯/生物谷BIOON/近日,拉瓦尔大学的研究人员在国际杂志Diabetes Care上刊文称,目前糖尿病在贫穷国家中的流行率最高,甚至在调整了传统的风险因素后依然是这样。

研究者Gilles R. Dagenais表示,我们对来自3个高收入国家、7个中上等收入国家、4个中低收入国家及4个低收入国家中119,666名成年个体的糖尿病流行率进行研究,结果发现,在这些不同收入的国家中,个体患糖尿病和其风险因子之间存在一定的关联。

研究者指出,贫穷国家中有着较高的年龄和性别相适应的糖尿病流行率,而最富裕的国家中这些相关的糖尿病流行率则是最低的;在所有人群中,随着其年龄、居住地、较低和较高的教育水平、体力活动、家族糖尿病史及体重指数发生变化,个体患糖尿病的风险也会明显增加。以较高收入和较低收入的国家进行对比,糖尿病的家族史和体重指数同人群中糖尿病的流行率之间的关联都会发生变化。

同时研究人员还发现,当调整了许多风险因子及种族影响后,糖尿病的流行率依然会呈现出一种梯度变化趋势。而常规的风险因素并不能完全解释低收入国家中糖尿病的高流行态势,当然后期研究人员还需要进一步深入研究来解释上述现象出现的原因和机制。(生物谷Bioon.com)

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Variations in Diabetes Prevalence in Low-, Middle-, and High-Income Countries: Results from the Prospective Urban and Rural Epidemiology Study

Gilles R. Dagenais1⇑, Hertzel C. Gerstein2, Xiaohe Zhang2, Matthew McQueen2, Scott Lear3, Patricio Lopez-Jaramillo4, Viswanathan Mohan5, Prem Mony6, Rajeev Gupta7, V. Raman Kutty8, Rajesh Kumar9, Omar Rahman10, Khalid Yusoff11,12, Katarzyna Zatonska13, Aytekin Oguz14, Annika Rosengren15, Roya Kelishadi16, AfzalHussein Yusufali17, Rafael Diaz18, Alvaro Avezum19, Fernando Lanas20, Annamarie Kruger21, Nasheeta Peer22,23, Jephat Chifamba24, Romaina Iqbal25, Noorhassim Ismail26, Bai Xiulin27, Liu Jiankang28, Deng Wenqing29, Yue Gejie30, Sumathy Rangarajan2, Koon Teo2 and Salim Yusuf2

OBJECTIVE The goal of this study was to assess whether diabetes prevalence varies by countries at different economic levels and whether this can be explained by known risk factors.

RESEARCH DESIGN AND METHODS The prevalence of diabetes, defined as self-reported or fasting glycemia ≥7 mmol/L, was documented in 119,666 adults from three high-income (HIC), seven upper-middle-income (UMIC), four low-middle-income (LMIC), and four low-income (LIC) countries. Relationships between diabetes and its risk factors within these country groupings were assessed using multivariable analyses.

RESULTS Age- and sex-adjusted diabetes prevalences were highest in the poorer countries and lowest in the wealthiest countries (LIC 12.3%, UMIC 11.1%, LMIC 8.7%, and HIC 6.6%; P < 0.0001). In the overall population, diabetes risk was higher with a 5-year increase in age (odds ratio 1.29 [95% confidence interval 1.28–1.31]), male sex (1.19 [1.13–1.25]), urban residency (1.24 [1.11–1.38]), low versus high education level (1.10 [1.02–1.19]), low versus high physical activity (1.28 [1.20–1.38]), family history of diabetes (FH) (3.15 [3.00–3.31]), higher waist-to-hip ratio (highest vs. lowest quartile; 3.63 [3.33–3.96]), and BMI (≥35 vs. <25 kg/m2; 2.76 [2.52–3.03]). The relationship between diabetes prevalence and both BMI and FH differed in higher- versus lower-income country groups (P for interaction < 0.0001). After adjustment for all risk factors and ethnicity, diabetes prevalences continued to show a gradient (LIC 14.0%, LMIC 10.1%, UMIC 10.9%, and HIC 5.6%).

CONCLUSIONS Conventional risk factors do not fully account for the higher prevalence of diabetes in LIC countries. These findings suggest that other factors are responsible for the higher prevalence of diabetes in LIC countries.

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