Measuring Māori identity and health : the cultural cohort approach : a thesis presented in fulfilment of the requirements for the degree of Doctor of Philosophy in Public Health at Massey University, Palmerston North, Aotearoa New Zealand
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Date
2023
DOI
Open Access Location
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Massey University
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Abstract
Current statistical methods of disaggregating populations by ethnic or cultural identity wrongly assume cultural invariance within an ethnic population over time and place. Calculating risk factors between ethno-cultural populations also wrongly assumes homogeneity of risk, obscuring what may be distinct sub-populations with very different demographics, risk profiles, and health outcomes. The Cultural Cohort Approach (CCA) proposes a novel method for understanding within-ethnic population difference, whereby cultural identity is framed as the enduring membership of multiple related cultural cohorts, rather than the contextual and unstable measure of ethnic group affiliation currently used. It predicts that multiple cultural cohorts exist inside an ethno-cultural population, that these cultural cohorts are resilient and culturally distinct, exist over generations, and can divide at pre-existing social or economic stratifications in response to powerful external forces. The cultural cohort approach unites history, extant identity theories and research to identify and describe these within-ethnic cultural cohorts. The measurement of a Māori cultural cohort joins existing Māori identity research, historical documents, and personal accounts to enumerate distinct Māori cultural cohorts, describe relationships between cultural cohorts, and exclude unrelated cultural cohorts. Across three distinct components of this thesis the Cultural Cohort Approach (CCA) is first described and a worked example of its use in identifying Māori cultural cohorts given. Second, these hypothesised cultural cohorts were mapped to a cross-sectional data collection wave of Māori participants (n=3287, born between 1941 and 1955) from Massey University’s longitudinal Health, Work and Retirement (HWR) study in a test of the CCA’s predictive accuracy using latent class analysis. Third, longitudinal HWR study data for Māori participants (n=1252, born between 1941 and 1955) was used in a second worked example to test the stability of the predicted cultural cohorts using latent transition analyses and further refine the CCA. The Māori cultural cohorts identified using the CCA had clear narratives, shared cultural characteristics, and identifiable cultural differences that persisted across time as predicted. The CCA will allow researchers to better represent the diverse lived realities of ethno-cultural populations and support more nuanced analytical insights into how health and well-being is patterned between distinct cultural cohorts.
Description
Brendan Stevenson
Keywords
Maori (New Zealand people), Statistics, Ethnic identity, Health and hygiene, Cohort analysis, Tāngata whenua, Tatauranga, Tuakiri, Hauora, Tātari raraunga, Tuhinga whakapae, Māori Doctoral Thesis