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应用一组改水干预前的地方性砷中毒资料 ,计算各发病单位的砷中毒指数。分析砷中毒指数与居民砷中毒检出率、掌跖角化率、水砷含量、尿砷水平、皮肤色素沉着、色素脱失等 ,均显示正相关关系。其中砷中毒指数 (y)与水砷 (x)相的曲线回归方程为 lg(y+0 .0 1) =3.0 16 x- 2 .16 ,两者相关系数为 r=0 .92 0 ;砷中毒指数 (x)与居民砷中毒检出率之间 r=0 .987,两者成直线回归关系 ,y=5 3.8x+1.5 1;砷中毒指数与足跖角化率之间亦呈良好线性关系 ,同样情况亦见于砷中毒指数与尿砷和异常尿砷检出率之间 ,相关系数分别为 0 .95 9和 0 .919。砷中毒指数与以上各指标的相关系数分析 ,P值均小于 0 .0 5 ,且都呈现良好的正相关关系。砷中毒指数以最简便方式概括了发病单位的砷中毒病例及病情程度 ,在比较不同单位病情时 ,比单纯的砷中毒检出率更能反映实际人群受砷危害情况 ,是流行病学研究中一较好的综合指标
A group of local arsenic poisoning data before the water diversion was applied to calculate the arsenic poisoning index of each unit. Analysis of arsenic poisoning index and resident arsenic poisoning detection rate, palmoplantar keratosis rate, water arsenic, urine arsenic levels, skin pigmentation, depigmentation and so on, showed a positive correlation. The regression equation of arsenic poisoning index (y) and water arsenic (x) phase is lg (y +0.01) = 3.016x- 2.16, the correlation coefficient of the two is r = 0.92 0; There was a linear regression between the index of poisoning (x) and the detection rate of arsenism in residents (r = 0.987, y = 5 3.8x + 1.5 1). The arsenic poisoning index was also good Linear relationship, the same situation also found in the arsenic poisoning and urine arsenic and abnormal urine arsenic detection rate, the correlation coefficients were 0.959 and 0.199. Arsenic poisoning index and the above indicators of the correlation coefficient analysis, P values ?? were less than 0. 05, and showed a good positive correlation. The arsenic poisoning index summarizes the arsenic poisoning cases and the severity of the disease in the most convenient way. Compared with the simple detection rate of arsenic poisoning, the detection rate of arsenic poisoning can reflect the actual arsenic hazard of arsenic poisoning in different units. It is an epidemiological study A better overall indicator