Does Mortality Vary between Asian Subgroups in New Zealand: An Application of Hierarchical Bayesian Modelling
Web of Science
AuthorJatrana, S; Richardson, K; Blakely, T; Dayal, S
Source TitlePLoS One
PublisherPUBLIC LIBRARY SCIENCE
University of Melbourne Author/sBlakely, Antony
AffiliationMelbourne School of Population and Global Health
Document TypeJournal Article
CitationsJatrana, S., Richardson, K., Blakely, T. & Dayal, S. (2014). Does Mortality Vary between Asian Subgroups in New Zealand: An Application of Hierarchical Bayesian Modelling. PLOS ONE, 9 (8), https://doi.org/10.1371/journal.pone.0105141.
Access StatusOpen Access
The aim of this paper was to see whether all-cause and cause-specific mortality rates vary between Asian ethnic subgroups, and whether overseas born Asian subgroup mortality rate ratios varied by nativity and duration of residence. We used hierarchical Bayesian methods to allow for sparse data in the analysis of linked census-mortality data for 25-75 year old New Zealanders. We found directly standardised posterior all-cause and cardiovascular mortality rates were highest for the Indian ethnic group, significantly so when compared with those of Chinese ethnicity. In contrast, cancer mortality rates were lowest for ethnic Indians. Asian overseas born subgroups have about 70% of the mortality rate of their New Zealand born Asian counterparts, a result that showed little variation by Asian subgroup or cause of death. Within the overseas born population, all-cause mortality rates for migrants living 0-9 years in New Zealand were about 60% of the mortality rate of those living more than 25 years in New Zealand regardless of ethnicity. The corresponding figure for cardiovascular mortality rates was 50%. However, while Chinese cancer mortality rates increased with duration of residence, Indian and Other Asian cancer mortality rates did not. Future research on the mechanisms of worsening of health with increased time spent in the host country is required to improve the understanding of the process, and would assist the policy-makers and health planners.
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