OBJECTIVE: Estimates of dementia prevalence in New Zealand (NZ) have previously been extrapolated from limited Australasian studies, which may be neither accurate nor reflect NZ's unique population and diverse ethnic groups. This study used routinely collected health data to estimate the 1-year period prevalence for diagnosed dementia for each of the 4âyears between July 2016 and June 2020 in the age 60+ andâage 80+ populationsâand for the four main ethnic groups. DESIGN: A population-based descriptive study. SETTING: Seven national health data sets within the NZ Integrated Data Infrastructure (IDI) were linked. Diagnosed dementia prevalence for each year was calculated using the IDI age 60+ andâage 80+ populations as the denominator and also age-sex standardised to allow comparison across ethnic groups. PARTICIPANTS: Diagnosed dementia individuals in the health datasets were identified by diagnostic or medication codes used in each of the data sets with deduplication of those who appeared in more than one data set. RESULTS: The crude diagnosed dementia prevalence was 3.8%-4.0% in the age 60+ populationâand 13.7%-14.4% in the age 80+ population across the four study years. Dementia prevalence age-sex standardised to the IDI population in the last study period of 2019-2020 was 5.4% for MÄori, 6.3% for Pacific Islander, 3.7% for European and 3.4% for Asian in the age 60+ population, and 17.5% for MÄori, 22.2% for Pacific Islander, 13.6% for European and 13.5% for Asian in the age 80+ population. CONCLUSIONS: This study provides the best estimate to date for dementia prevalence in NZ but is limited to those people who were identified as having dementia based on data from the seven included data sets. The findings suggest that diagnosed dementia prevalence is higher in MÄori and Pacific Islanders. A nationwide NZ community-based dementia prevalence study is much needed to confirm the findings of this study.
Dementia prevalence estimation among the main ethnic groups in New Zealand: a population-based descriptive study of routinely collected health data.
阅读:3
作者:Cheung Gary, To Edith, Rivera-Rodriguez Claudia, Ma'u Etuini, Chan Amy Hai Yan, Ryan Brigid, Cullum Sarah
| 期刊: | BMJ Open | 影响因子: | 2.300 |
| 时间: | 2022 | 起止号: | 2022 Sep 7; 12(9):e062304 |
| doi: | 10.1136/bmjopen-2022-062304 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
