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中國糖尿病患病率的地區(qū)差異

2015-01-14 16:01 閱讀:2477 來源:醫(yī)學(xué)論壇網(wǎng) 作者:學(xué)**涯 責(zé)任編輯:學(xué)海無涯
[導(dǎo)讀] 糖尿病患病率的數(shù)據(jù)(診斷和未確診的)表明,城市比農(nóng)村人更傾向于患糖尿病。在北京,患病率為15.4——22.1%,而在**,患病率為5.4——9.2%.這些發(fā)現(xiàn)表明,在中國的經(jīng)濟優(yōu)勢或富裕地區(qū)糖尿病更常見。雖然個人層面因素如健康認(rèn)知力可減弱地理位置和糖尿病患病

    本文由HelaineE.Resnick博士編輯

    在最新的一期《糖尿病護理》雜志上研究者分析了來自中國162個地區(qū)的超過98000人的數(shù)據(jù),通過數(shù)據(jù)分析和處理得出了中國糖尿病各區(qū)域性的患病率和發(fā)生率。

    新結(jié)果來自全國健康普查的中國疾病監(jiān)測點(DSP)系統(tǒng)數(shù)據(jù),其覆蓋了中國人口的7%.這項研究的一個重要方面是它把人群水平與地理信息數(shù)據(jù)相結(jié)合,從而對中國糖尿病發(fā)生的決定因素提供了一個微妙的角度。

    糖尿病患病率的數(shù)據(jù)(診斷和未確診的)表明,城市比農(nóng)村人更傾向于患糖尿病。在北京,患病率為15.4——22.1%,而在**,患病率為5.4——9.2%.這些發(fā)現(xiàn)表明,在中國的經(jīng)濟優(yōu)勢或富裕地區(qū)糖尿病更常見。雖然個人層面因素如健康認(rèn)知力可減弱地理位置和糖尿病患病率之間的相關(guān)性,在省,城里和村莊水平的變化還是有意義。

    糖尿病患病率存在差異的因素還包括被確診糖尿病的人口比例,這在城市和農(nóng)村之間存在較大差距,與城市人群相比,農(nóng)村人群不太可能被確診。校正個人水平因素對結(jié)果只有輕微的影響,研究表明中國糖尿病診斷和治療的客觀資源分配應(yīng)關(guān)注在農(nóng)村糖尿病確診率低方面。

    原文:

    Extensive Geographic Variation in Diabetes Ascertainment in ChinaData from more than 98,000 Chinese **s living in 162 areas across China provide new detail on the landscape of diabetes prevalence and ascertainment in this large and diverse country. The new report (p. 72) relied on data from China's National Disease Surveillance Point (DSP) System, a nationally representative health survey that covers 7% of China's population. This survey contains ***rmation for physician-diagnosed diabetes as well as blood specimens that were used to determine respondents with undiagnosed diabetes. An important aspect of the new research is that it combines person-level data with geographic ***rmation, thereby providing a nuanced perspective on the determinants of diabetes across China. Data on diabetes prevalence (diagnosed plus undiagnosed) showed that urban areas tended to have more diabetes than rural ones. In Beijing, prevalence ranged from 15.4 to 22.1%, whereas in Tibet, prevalence was 5.4–9.2%. These findings support the idea that in China, diabetes is more common in areas that are characterized by greater economic advantage or affluence. Although person-level factors such as health literacy attenuated the association between geographic location and diabetes prevalence, there was still meaningful variation at the provincial, town, and village levels. A different picture emerged for diabetes ascertainment—the proportion of people with diabetes whose condition was diagnosed. There were considerable disparities between the rural and urban areas, with people in rural areas being considerably less likely to be diagnosed than their urban counterparts. Adjustment for person-level factors had only a minor influence on these findings, an observation suggesting that one objective of resource allocation for diabetes diagnosis and treatment in China should focus on reducing the gap of diabetes ascertainment in rural areas. — Helaine E. Resnick, PhD, MPHZhou et al. Geographical variation in diabetes prevalence and detection in China: multilevel spatial **ysis of 98,058 **s. Diabetes Care 2015;38:72–81


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