Yadav Ajit Kumar, Gouda Jitendra, Ram F
International Institute for Population Sciences,Deonar,Mumbai,India.
J Biosoc Sci. 2016 Aug;48(4):472-85. doi: 10.1017/S0021932015000322. Epub 2015 Oct 5.
Uttar Pradesh is India's most populous state with a population of 200 million. Any change in its fertility and mortality is bound to bring change at the national level. This study analysed the burden of disease in the state by calculating the disability-adjusted life year (DALY) for infectious and non-communicable diseases. Data were from two rounds (52nd and 60th) of the National Sample Survey Organization (NSSO) survey conducted in 1995-96 and 2004, respectively, and the Million Deaths Study (MDS) of 2001-03. Descriptive and multivariate analyses were carried out to identify the determinants of different types of self-reported morbidity and DALY. The results show that in Uttar Pradesh the prevalence of all selected self-reported infectious and non-communicable diseases increased over the study period from 1995 to 2004, and in most cases by more than two times. The highest observed increase in prevalence was in non-communicable diseases excluding CVDs, which increased from 7% in 1995 to 19% in 2004. The prevalence was higher for those aged 60 and above, females, those who were illiterate and rich across the time period and for all selected morbidities. The results were significant at p<0.001. The estimation of the DALY revealed that the burden of infectious diseases was higher during infancy, noticeably among males than females in 2002. However, females aged 1-5 years were more likely to report infectious diseases than corresponding males. The age distribution of the DALY indicated that individuals aged below 5 years and above 60 years were more susceptible to ill health. The growing incidence of non-communicable diseases, especially among the older generation, puts an additional burden on the health system in the state. Uttar Pradesh has to grapple with the unresolved problem of preventable infectious diseases on the one hand and the growth in non-communicable disease on the other.
北方邦是印度人口最多的邦,有2亿人口。其生育率和死亡率的任何变化必然会在国家层面带来改变。本研究通过计算传染病和非传染性疾病的伤残调整生命年(DALY)来分析该邦的疾病负担。数据分别来自1995 - 1996年和2004年进行的全国抽样调查组织(NSSO)两轮(第52轮和第60轮)调查,以及2001 - 2003年的百万死亡研究(MDS)。进行了描述性和多变量分析,以确定不同类型自我报告发病率和DALY的决定因素。结果表明,在1995年至2004年的研究期间,北方邦所有选定的自我报告的传染病和非传染性疾病患病率均有所上升,且在大多数情况下上升了两倍多。观察到患病率上升最高的是非心血管疾病的非传染性疾病,从1995年的7%增至2004年的19%。在整个时间段内,60岁及以上人群、女性、文盲和富人的患病率以及所有选定疾病的患病率都更高。结果在p<0.001时具有显著性。DALY的估计显示,2002年婴儿期传染病负担较高,男性明显高于女性。然而,1 - 5岁的女性比相应年龄段的男性更有可能报告传染病。DALY的年龄分布表明,5岁以下和60岁以上的个体更容易健康不佳。非传染性疾病发病率的不断上升,尤其是在老年人群中,给该邦的卫生系统带来了额外负担。北方邦一方面必须应对可预防传染病未解决的问题,另一方面要应对非传染性疾病的增长。