Consistency Analysis of Regional Proportion of Longevity-related Deaths According to Different Mortality Criteria
Objective To analyze the effect of death under-reporting on the regional longevity-related deaths proportion and provide some evidence for its application in the regional longevity level evaluation.Methods National deaths registration data in 2019 were obtained from the National mortality surveillance system and the crude mortality of each county were calculated.According to different crude mortality criteria(≥4.5‰,≥5.0‰,≥6.0‰,≥7.0‰,respectively),a total of 9 indicators of death proportion of the national level were computed based on the corresponding number of counties included.Standard deviation and coefficient of variation were adopted to evaluate the stability of each indicator.At the provincial level and prefecture level,Bland-Altman plot was adopted to evaluated the consistence of the 9 indicators of death proportion in two different conditions,namely all the monitored counties included and only those counties with the crude mortality greater than 6.0‰ included,respectively.Results At the national level,the proportions of centenary death had the smallest standard deviation(0.01～0.02)followed by the proportions of longevity death(0.13～0.18),while the proportions of deaths aged 80 years and older had the largest standard deviation(0.20～0.33).Those indicators named as 80+/60+and 100+/90+had the smallest coefficient of variation(0.43～0.44),while 100+/all and 90+/all had the largest(1.69～1.80).At the provincial and prefecture scale,the 95%limits of agreement(LoA)of all the 9 proportions were beyond the corresponding professional acceptable variation,which means that those indicators in the two conditions cannot be replaced with each other.Conclusion Death under-reporting has little effect on the proportion of longevity-related deaths at the national level but has a great impact on provincial level or prefecture level.Counties or districts with high death data completeness(crude mortality greater than 6.0‰)can only be included to obtain the longevity-related deaths proportion at provincial or prefecture level to ensure their accuracy.
Under-reportingCentenariansLongevityOldest-old aged 80 years and olderProportion of deathConsistency analysisBland-Altman plot
NETL
NSTL
万方数据
