Busingye Doreen, Arabshahi Simin, Subasinghe Asvini K, Evans Roger G, Riddell Michaela A, Thrift Amanda G
Department of Medicine and Department of Physiology, Monash University, Melbourne, Australia and Florey Neuroscience Institutes, Heidelberg, Victoria, Australia
Department of Medicine and Department of Physiology, Monash University, Melbourne, Australia and Florey Neuroscience Institutes, Heidelberg, Victoria, Australia.
Int J Epidemiol. 2014 Oct;43(5):1563-77. doi: 10.1093/ije/dyu112. Epub 2014 May 26.
Of the 1 billion people with hypertension globally, two-thirds reside in low- and middle-income countries (LMICs). The risk of hypertension in LMICs is thought to be positively associated with socioeconomic status (SES). However, recent studies have provided data inconsistent with this concept. Thus, we assessed the association between SES and hypertension in rural populations of LMICs. Further, we explored whether this association differs according to geographical region.
Through a search of databases we identified population-based studies that presented risk estimates for the association between SES, or any of its proxies, and hypertension. Meta-analyses were conducted using a random effects model.
Overall, no association was detected between educational status and hypertension, whereas a positive association was observed with income. Interestingly, educational status was inversely associated with hypertension in East Asia {effect size [ES] 0.82 [95% confidence interval (CI) 0.78, 0.87]} but positively associated in South Asia [ES 1.28 (95% CI 1.14, 1.43)]. Higher income, household assets or social class were positively associated with hypertension in South Asia whereas no association was detected in East Asia and Africa. Compared with other occupations, farmers or manual labourers were associated with a lower risk for hypertension. Further, in regions such as Latin America, few studies were identified that fulfilled our inclusion criteria.
We provide evidence that the association between hypertension and SES in rural populations of LMICs in Asia varies according to geographical region. This has important implications for targeting intervention strategies aimed at high-risk populations in different geographical regions.
全球10亿高血压患者中,三分之二居住在低收入和中等收入国家(LMICs)。人们认为,LMICs中高血压风险与社会经济地位(SES)呈正相关。然而,最近的研究提供的数据与这一概念不一致。因此,我们评估了LMICs农村人口中SES与高血压之间的关联。此外,我们还探讨了这种关联是否因地理区域而异。
通过检索数据库,我们确定了基于人群的研究,这些研究给出了SES或其任何替代指标与高血压之间关联的风险估计。使用随机效应模型进行荟萃分析。
总体而言,未发现教育程度与高血压之间存在关联,而收入与高血压呈正相关。有趣的是,东亚地区教育程度与高血压呈负相关{效应量[ES]0.82[95%置信区间(CI)0.78,0.87]},而在南亚呈正相关[ES 1.28(95%CI 1.14,1.43)]。在南亚,较高的收入、家庭资产或社会阶层与高血压呈正相关,而在东亚和非洲未发现关联。与其他职业相比,农民或体力劳动者患高血压的风险较低。此外,在拉丁美洲等地区,很少有符合我们纳入标准的研究。
我们提供的证据表明,亚洲LMICs农村人口中高血压与SES之间的关联因地理区域而异。这对于针对不同地理区域高危人群的干预策略具有重要意义。