Veisani Yousef, Jenabi Ensiyeh, Nematollahi Shahrzad, Delpisheh Ali, Khazaei Salman
Psychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Autism Spectrum Disorders Research center, Hamadan University of Medical Sciences, Hamadan, Iran.
J Cardiovasc Thorac Res. 2019;11(2):116-120. doi: 10.15171/jcvtr.2019.20. Epub 2019 Jun 30.
The large portion of burden of diseases, especially in the developing countries is attributed to hypertension. Identification of the potential risk factors of hypertension is essential for disease management. In this study we investigated the role of socio-economic inequality in the prevalence of hypertension in Ilam Province. Totally, 690 individuals aged over 15 were enrolled in this cross-sectional study, through systematic random sampling from March 1 to October 30, 2017. Socio-economic status (SES) score was calculated by 7 variables including; age, sex, job, marital status, educational level, and economic status, residency, then, it was divided to five levels. Concentration index was used to estimate the inequality in hypertension. To estimate the percentage contribution in final step elasticity divided to concentration index for each contributor and contributions to inequality is estimated. The concentration index for hypertension was -0.154 95% CI (-0.02, -0.23), therefore hypertension was more prevalent in lower socioeconomic groups. The important socioeconomic contributors in inequality were job (=0.008), educational level (=0.005), and SES (=0.003). According to concentration index decomposition, the main sources of inequality in hypertension were job (15%), educational level (18%), and SES (21%), respectively. Hypertension is more prevalent in lower SES groups and the job, education, and SES are important contributory factors of inequality. One substantial key point to achieve an effectiveness approach to deal with chronic diseases might be building partnership with disadvantaged populations.
很大一部分疾病负担,尤其是在发展中国家,都归因于高血压。识别高血压的潜在风险因素对于疾病管理至关重要。在本研究中,我们调查了社会经济不平等在伊拉姆省高血压患病率中的作用。2017年3月1日至10月30日,通过系统随机抽样,共有690名15岁以上的个体参与了这项横断面研究。社会经济地位(SES)得分由包括年龄、性别、职业、婚姻状况、教育水平、经济状况、居住情况在内的7个变量计算得出,然后分为五个等级。使用集中指数来估计高血压方面的不平等。在最后一步,通过将弹性除以每个因素的集中指数来估计每个因素对不平等的贡献百分比。高血压的集中指数为-0.154,95%置信区间为(-0.02,-0.23),因此高血压在社会经济地位较低的群体中更为普遍。不平等方面重要的社会经济因素是职业(=0.008)、教育水平(=0.005)和社会经济地位(=0.003)。根据集中指数分解,高血压不平等的主要来源分别是职业(15%)、教育水平(18%)和社会经济地位(21%)。高血压在社会经济地位较低的群体中更为普遍,职业、教育和社会经济地位是不平等的重要促成因素。实现有效应对慢性病方法的一个关键要点可能是与弱势群体建立伙伴关系。