Prinja Shankar, Jeyashree Kathiresan, Rana Saroj, Sharma Atul, Kumar Rajesh
School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Indian J Med Res. 2015 Apr;141(4):438-45. doi: 10.4103/0971-5916.159290.
BACKGROUND & OBJECTIVES: Morbidity is self reported at a higher rate among the rich than the poor. However, objective measures suggest the contrary. We examined the role of epidemiological transition in wealth related inequalities in self-reported morbidity (SRM).
We analyzed data of two States, Bihar and Kerala, from 60 [th] Round of National Sample Survey (NSS). Bivariate analysis was performed to study the associations between various socio-demographic variables and self-reported morbidity. A prediction model based on hierarchical logistic regression was developed to identify determinants of self-reported morbidity.
In Bihar, acute morbidities (26 per 1000) were reported more often than chronic morbidities (19 per 1000) while in Kerala the reverse was true (89 acute and 123 chronic morbidities per 1000 person). In both the states, the rate of SRM showed an increasing trend from the poorest to the richest quintiles. The rising gradient in the odds of SRM across increasing socio-economic strata was more pronounced in Bihar [OR (richest)=2.52; 1.85-3.42] as compared to Kerala [OR (richest) =1.66; 1.37-2.0]. Moreover, this gradient was more on account of chronic diseases [OR (richest) =2.7; 1.8-4.0] for Bihar; [OR (richest) =1.6; 1.26-2.0 for Kerala] than the acute diseases [OR (richest) =1.82; 1.1-2.9 for Bihar]; [OR (richest) =1.4; 1.1-1.8 for Kerala].
INTERPRETATION & CONCLUSIONS: The present analysis shows that the epidemiologic transition results in higher prevalence and reporting of chronic ailments by the rich than the poor. This phenomenon is more evident in the early stages of transition. In later stages of transition, positional objectivity plays an important role to explain wealth related inequalities in SRM.
富裕人群中自我报告的发病率高于贫困人群。然而,客观测量结果却显示相反情况。我们研究了流行病学转变在自我报告发病率(SRM)的财富相关不平等中所起的作用。
我们分析了第60轮全国抽样调查(NSS)中比哈尔邦和喀拉拉邦两个邦的数据。进行双变量分析以研究各种社会人口学变量与自我报告发病率之间的关联。基于分层逻辑回归建立了一个预测模型,以确定自我报告发病率的决定因素。
在比哈尔邦,急性发病率(每1000人中有26例)的报告频率高于慢性发病率(每1000人中有19例),而在喀拉拉邦情况则相反(每1000人中有89例急性病和123例慢性病)。在两个邦中,自我报告发病率从最贫困五分位数到最富裕五分位数均呈上升趋势。与喀拉拉邦[比值比(最富裕)=1.66;1.37 - 2.0]相比,比哈尔邦[比值比(最富裕)=2.52;1.85 - 3.42]中,随着社会经济阶层的提高,自我报告发病率的比值上升梯度更为明显。此外,这种梯度在比哈尔邦更多是由于慢性病[比值比(最富裕)=2.7;1.8 - 4.0];[喀拉拉邦为比值比(最富裕)=一.6;1.26 - 2.0],而非急性病[比哈尔邦比值比(最富裕)=1.82;1.1 - 2.9];[喀拉拉邦比值比(最富裕)=1.4;1.1 - 1.8]。
本分析表明,流行病学转变导致富裕人群比贫困人群中慢性疾病的患病率和报告率更高。这种现象在转变的早期阶段更为明显。在转变的后期阶段,位置客观性在解释自我报告发病率的财富相关不平等方面发挥着重要作用。