Mariapun Jeevitha, Hairi Noran N, Ng Chiu-Wan
Julius Centre University of Malaya, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
PLoS One. 2016 Jun 30;11(6):e0158685. doi: 10.1371/journal.pone.0158685. eCollection 2016.
Socioeconomic inequalities in health represent unfairness in the health distribution of a population. Efforts to produce information on mortality distributions in many low and middle income countries (LMICs) are mostly hampered by lack of data disaggregated by socioeconomic groups. In this paper we describe how mortality statistics obtained from multiple data sources were combined to provide an evaluation of the socioeconomic distribution of mortality in Malaysia, a LMIC located in the Asia Pacific region.
This study has an ecological design. As a measure of socioeconomic status, we used principal component analysis to construct a socioeconomic index using census data. Districts were ranked according to the standardised median index of households and assigned to each individual in the 5-year mortality data. The mortality indicators of interest were potential years of life lost (PYLL), standardised mortality ratio (SMR), infant mortality rate (IMR) and under-5 mortality rate (U5MR). Both socioeconomic status and mortality outcomes were used compute the concentration index which provided the summary measure of the magnitude of inequality.
Socially disadvantaged districts were found to have worse mortality outcomes compared to more advantaged districts. The values of the concentration index for the overall population of the Peninsula are C = -0.1334 (95% CI: -0.1605 to -0.1063) for the PYLL, C = -0.0685 (95% CI: -0.0928 to -0.0441) for the SMR, C = -0.0997 (95% CI: -0.1343 to -0.0652) for the IMR and C = -0.1207 (95% CI: -0.1523 to -0.0891) for the U5MR. Mortality outcomes within ethnic groups were also found to be less favourable among the poor.
The findings of this study suggest that socioeconomic inequalities disfavouring the poor exist in Malaysia.
健康方面的社会经济不平等体现了人口健康分布中的不公平现象。在许多低收入和中等收入国家(LMICs),由于缺乏按社会经济群体分类的数据,获取死亡率分布信息的工作大多受到阻碍。在本文中,我们描述了如何将从多个数据源获得的死亡率统计数据进行整合,以评估位于亚太地区的低收入中等收入国家马来西亚的死亡率社会经济分布情况。
本研究采用生态设计。作为社会经济地位的衡量指标,我们使用主成分分析,利用人口普查数据构建社会经济指数。根据家庭标准化中位数指数对各地区进行排名,并将其分配到5年死亡率数据中的每个个体。感兴趣的死亡率指标包括潜在寿命损失年数(PYLL)、标准化死亡率(SMR)、婴儿死亡率(IMR)和5岁以下儿童死亡率(U5MR)。社会经济地位和死亡率结果均用于计算集中指数,该指数提供了不平等程度的汇总衡量指标。
与较富裕地区相比,社会经济地位不利的地区死亡率结果更差。半岛总人口的PYLL集中指数值为C = -0.1334(95%置信区间:-0.1605至-0.1063),SMR为C = -0.0685(95%置信区间:-0.0928至-0.0441),IMR为C = -0.0997(95%置信区间:-0.1343至-0.0652),U5MR为C = -0.1207(95%置信区间:-0.1523至-0.0891)。在不同种族群体中,穷人的死亡率结果也更不理想。
本研究结果表明,马来西亚存在不利于穷人的社会经济不平等现象。