Khang Young-Ho, Hwang In-A, Yun Sung-Cheol, Lee Moo-Song, Lee Sang-Il, Jo Min-Woo, Lee Min-Jung
Department of Preventive Medicine, University of Ulsan College of Medicine.
J Prev Med Public Health. 2005 May;38(2):147-53.
Studies on the geographical differences in mortality tend to use a census population, rather than a registration population, as the denominator of mortality rates in South Korea. However, an administratively determined registration population would be the logical denominator, as the geographical areas for death certificates (numerator) have been determined by the administratively registered residence of the deceased, rather than the actual residence at the time of death. The purpose of this study was to examine the differences in the total number of a district population, and the associated district-specific mortality indicators, when two different measures as a population denominator (census and registration) were used.
Population denominators were obtained from census and registration population data, and the numbers of deaths (numerators) were calculated from raw death certificate data. Sex- and 5-year age-specific numbers for the populations and deaths were used to compute sex- and age-standardized mortality rates (by direct standardization methods) and standardized mortality ratios (by indirect standardization methods). Bland-Altman tests were used to compare district populations and district-specific mortality indicators according to the two different population denominators.
In 1995, 9 of 232 (3.9%) districts were not included in the 95% confidence interval (CI) of the population differences. A total of 8 (3.4%) among 234 districts had large differences between their census and registration populations in 2000, which exceeded the 95% CI of the population differences. Most districts (13 of 17) exceeding the 95% CI were rural. The results of the sex- and age-standardized mortality rates showed 15 (6.5%) and 16 (6.8%) districts in 1995 and 2000, respectively, were not included in the 95% CI of the differences in their rates. In addition, the differences in the standardized mortality ratios using the two different population denominators were significantly greater among 14 districts in 1995 and 11 districts in 2002 than the 95% CI. Geographical variations in the mortality indicators, using a registration population, were greater than when using a census population.
The use of census population denominators may provide biased geographical mortality indicators. The geographical mortality rates when using registration population denominators are logical, but do not necessarily represent the exact mortality rate of a certain district. The removal of districts with large differences between their census and registration populations or associated mortality indicators should be considered to monitor geographical mortality rates in South Korea.
在韩国,死亡率的地理差异研究倾向于使用普查人口而非登记人口作为死亡率的分母。然而,行政确定的登记人口才是合理的分母,因为死亡证明(分子)的地理区域是由死者的行政登记居住地而非死亡时的实际居住地确定的。本研究的目的是检验当使用两种不同的人口分母测量方法(普查和登记)时,地区人口总数以及相关的地区特定死亡率指标的差异。
人口分母从普查和登记人口数据中获取,死亡人数(分子)从原始死亡证明数据中计算得出。按性别和5岁年龄组划分的人口和死亡人数用于计算性别和年龄标准化死亡率(采用直接标准化方法)和标准化死亡比(采用间接标准化方法)。使用布兰德-奥特曼检验来比较根据两种不同人口分母得出的地区人口和地区特定死亡率指标。
1995年,232个地区中有9个(3.9%)未包含在人口差异的95%置信区间(CI)内。2000年,234个地区中共有8个(3.4%)的普查人口和登记人口存在较大差异,超过了人口差异的95%CI。超过95%CI的大多数地区(17个中的13个)为农村地区。性别和年龄标准化死亡率的结果显示,1995年和2000年分别有15个(6.5%)和16个(6.8%)地区未包含在其死亡率差异的95%CI内。此外,1995年的14个地区和2002年的11个地区中,使用两种不同人口分母得出的标准化死亡比差异显著大于95%CI。使用登记人口时死亡率指标的地理差异大于使用普查人口时。
使用普查人口分母可能会提供有偏差的地理死亡率指标。使用登记人口分母时的地理死亡率是合理的,但不一定代表某个地区的确切死亡率。在监测韩国的地理死亡率时,应考虑剔除普查人口和登记人口或相关死亡率指标差异较大的地区。