ArticleNew Zealand population review2014
Cohort Morbidity Hypothesis: Health Inequalities of Older Māori and non-Māori in New Zealand.
Article in New Zealand population review, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- End of life care preferences among people of advanced age: LiLACS NZ.BMC palliative care · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This paper describes the mortality trends from 1948 to 2008 between Māori and non-Māori populations. Using the cohort morbidity hypothesis, we propose that health disparities between the populations can be partially explained by different levels of early-life exposure to infectious diseases. We conducted regression analysis and found strong associations between early- and old-age mortality for cohorts. Childhood mortality, rather than mid-life mortality, accounted for greater variance in older age. The mortality trend of the 1948 Māori birth cohort is similar to the 1902 non-Māori birth cohort 46 years earlier. Implications are discussed.
Identifiers
30636820PMC6326584What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.