Bredenkamp Caryn, Buisman Leander R, Van de Poel Ellen
World Bank, Washington, DC, USA, Institute of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
World Bank, Washington, DC, USA, Institute of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Int J Epidemiol. 2014 Aug;43(4):1328-35. doi: 10.1093/ije/dyu075. Epub 2014 Apr 14.
Global progress in reducing the burden of undernutrition tends to be measured at the population level. It has been hypothesized that population-level improvements may mask widening socioeconomic inequalities, but little attempt has been made to assess whether this is true.
Original data from 131 demographic health surveys and 48 multiple indicator cluster surveys from 1990 to 2011 were used to examine trends in socioeconomic inequalities in stunting and underweight, as well as the relationship between changes in prevalence and changes in inequality, in 80 countries. Socioeconomic inequality is measured using the corrected concentration index.
Countries with a higher prevalence of stunting tend to have larger socioeconomic inequalities in stunting (Spearman rank correlation = -0.27 P = 0.014). In most countries, there has been no change in inequality in stunting: in 31 out of 53, the 90% confidence intervals around the changes overlap the zero value. In the remaining 22, there was a reduction in inequality in 11 and an increase in 11. The distributional patterns underlying the summary inequality statistics vary considerably across countries, but in most there have been considerable gains to the poorest quintile.
Reductions in the prevalence of undernutrition have generally not been accompanied by widening inequalities. However, inequalities have also not been narrowing. Rather, the picture is one of a strong persistence of existing inequalities. In addition, there are different distributional patterns underlying changes in the summary indices of inequality which will need to be taken into consideration in designing programmes to reach the poor.
全球在减轻营养不良负担方面的进展往往是在人口层面进行衡量的。据推测,人口层面的改善可能掩盖了社会经济不平等的加剧,但几乎没有人尝试评估这是否属实。
利用1990年至2011年期间131项人口与健康调查和48项多指标类集调查的原始数据,研究了80个国家发育迟缓与体重不足方面社会经济不平等的趋势,以及患病率变化与不平等变化之间的关系。社会经济不平等采用校正后的集中指数进行衡量。
发育迟缓患病率较高的国家,其发育迟缓方面的社会经济不平等往往更大(斯皮尔曼等级相关系数=-0.27,P=0.014)。在大多数国家,发育迟缓方面的不平等没有变化:53个国家中有31个国家,变化的90%置信区间与零值重叠。在其余22个国家中,11个国家的不平等有所减少,11个国家有所增加。汇总不平等统计数据背后的分布模式在各国之间差异很大,但在大多数国家,最贫困的五分之一人口都有相当大的改善。
营养不良患病率的降低通常并没有伴随着不平等的加剧。然而,不平等也没有在缩小。相反,情况是现有不平等现象强烈持续存在。此外,不平等汇总指数变化背后存在不同的分布模式,在设计惠及贫困人口的方案时需要考虑到这一点。