Lakhan Ram, Ekúndayò Olúgbémiga T
Department of Epidemiology and Biostatistics, School of Health Sciences, College of Public Service, Jackson State University, Jackson, Mississippi, USA.
Department of Public Health, Eastern Washington University, Cheney, Washington, USA.
J Neurosci Rural Pract. 2015 Jan;6(1):51-4. doi: 10.4103/0976-3147.143194.
The Indian population suffers with significant burden of mental illness. The prevalence rate and its association with age and other demographic indicators are needed for planning purpose.
This study attempted to calculate age-wise prevalence of mental illness for rural and urban settings, and its association with age.
Data published in National Sample Survey Organization (2002) report on disability is used for the analysis. Spearman correlation for strength of association, z-test for difference in prevalence, and regression statistics for predicting the prevalence rate of mental illness are used.
Overall population have 14.9/1000 prevalence of mental illness. It is higher in rural setting 17.1/1000 than urban 12.7/1000 (P < 0.001). There is a strong correlation found with age in rural (ϱ = 0.910, P = 0.001) and urban (ϱ = 0.940, P = 0.001).
Results of this study confirm other epidemiological research in India. Large-population epidemiological studies are recommended.
印度人口承受着严重的精神疾病负担。为了规划目的，需要了解患病率及其与年龄和其他人口统计学指标的关联。
本研究试图计算农村和城市地区按年龄划分的精神疾病患病率及其与年龄的关联。
分析使用了国家抽样调查组织（2002年）关于残疾的报告中公布的数据。采用Spearman相关性分析关联强度，z检验分析患病率差异，回归统计预测精神疾病患病率。
总体人群精神疾病患病率为14.9/1000。农村地区患病率（17.1/1000）高于城市地区（12.7/1000）（P<0.001）。农村（ϱ = 0.910，P = 0.001）和城市（ϱ = 0.940，P = 0.001）与年龄均存在强相关性。
本研究结果证实了印度的其他流行病学研究。建议开展大规模人群流行病学研究。
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