Kattula Deepthi, Venugopal Srinivasan, Velusamy Vasanthakumar, Sarkar Rajiv, Jiang Victoria, S Mahasampath Gowri, Henry Ankita, Deosaran Jordanna Devi, Muliyil Jayaprakash, Kang Gagandeep
Department of Gastrointestinal Sciences, Christian Medical College, Vellore, Tamil Nadu, India.
Department of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
PLoS One. 2016 Aug 4;11(8):e0160706. doi: 10.1371/journal.pone.0160706. eCollection 2016.
Socioeconomic status (SES) scales measure poverty, wealth and economic inequality in a population to guide appropriate economic and public health policies. Measurement of poverty and comparison of material deprivation across nations is a challenge. This study compared four SES scales which have been used locally and internationally and evaluated them against childhood stunting, used as an indicator of chronic deprivation, in urban southern India.
A door-to-door survey collected information on socio-demographic indicators such as education, occupation, assets, income and living conditions in a semi-urban slum area in Vellore, Tamil Nadu in southern India. A total of 7925 households were categorized by four SES scales-Kuppuswamy scale, Below Poverty Line scale (BPL), the modified Kuppuswamy scale, and the multidimensional poverty index (MDPI) and the level of agreement compared between scales. Logistic regression was used to test the association of SES scales with stunting.
The Kuppuswamy, BPL, MDPI and modified Kuppuswamy scales classified 7.1%, 1%, 5.5%, and 55.3% of families as low SES respectively, indicating conservative estimation of low SES by the BPL and MDPI scales in comparison with the modified Kuppuswamy scale, which had the highest sensitivity (89%). Children from low SES classified by all scales had higher odds of stunting, but the level of agreement between scales was very poor ranging from 1%-15%.
There is great non-uniformity between existing SES scales and cautious interpretation of SES scales is needed in the context of social, cultural, and economic realities.
社会经济地位(SES)量表用于衡量人群中的贫困、财富和经济不平等状况,以指导制定适当的经济和公共卫生政策。衡量贫困以及比较不同国家的物质匮乏程度是一项挑战。本研究比较了在本地和国际上使用的四种SES量表,并以印度南部城市儿童发育迟缓作为慢性贫困的指标,对这些量表进行了评估。
通过挨家挨户的调查,收集了印度南部泰米尔纳德邦韦洛尔一个半城市贫民窟地区的社会人口统计学指标信息,如教育、职业、资产、收入和生活条件。总共7925户家庭根据四种SES量表进行分类,即库普斯瓦米量表、贫困线以下量表(BPL)、改良库普斯瓦米量表和多维贫困指数(MDPI),并比较了各量表之间的一致性水平。使用逻辑回归来检验SES量表与发育迟缓之间的关联。
库普斯瓦米量表、BPL量表、MDPI量表和改良库普斯瓦米量表分别将7.1%、1%、5.5%和55.3%的家庭归类为低社会经济地位家庭,这表明与敏感性最高(89%)的改良库普斯瓦米量表相比,BPL量表和MDPI量表对低社会经济地位的估计较为保守。所有量表分类为低社会经济地位的儿童发育迟缓的几率更高,但各量表之间的一致性水平非常低,在1%至15%之间。
现有的SES量表之间存在很大的不一致性,在社会、文化和经济现实背景下,需要谨慎解释SES量表。