‘Seeing’ our tamariki in longitudinal studies: exploring the complexity of ethnic identification trajectories within Growing Up in New Zealand

Carr, Polly Atatoa; Langridge, Fiona; Neumann, Denise; Paine, Sarah‐Jane; Liang, Renee; Taufa, Seini; Fidow, Jacinta Fa’alili; Fenaughty, John; Kingi, Te Kani

doi:10.1080/03036758.2022.2064518

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…The diverse cultural backgrounds present in New Zealand can lead to variations in how individuals from different ethnic groups or levels of deprivation interpret and respond to the scale items. As a result, a single baseline for comparison is not appropriate due to these cultural differences (Atatoa Carr et al, 2022; Hobbs et al, 2019). In addition, cultural and contextual differences play a role in the observed non-invariance, and it is important to recognise and respect these variations to avoid imposing uniform measurement standards across diverse groups.…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties and Factor Structure of the Aggressive Student Culture Scale Administered to the Age 8 Growing Up in NZ Cohort

Zhang,

Underwood,

Peterson

et al. 2023

Journal of Psychoeducational Assessment

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Background The Aggressive Student Culture Scale (ASCS) is a survey designed to measure the extent to which New Zealand (NZ) students experience aggressive behaviours within the school environment. The aim of this study is to assess the psychometric properties of the ASCS in the multidisciplinary Growing Up in NZ longitudinal study. Methods We used data from 4938 children from the Growing Up in NZ study to examine the psychometric properties of ASCS for 8-year-old children. Confirmatory factor analysis was conducted, and measurement invariance was tested across sex, ethnicity, and deprivation levels. Results The ASCS tool comprises a single latent factor: aggressive student behaviour. The ASCS provides an adequate and satisfactory measure for student aggression experiences. Full measurement invariance was supported for child’s sex, but only configural invariance was confirmed across ethnicity and area-level deprivation. Males reported higher levels of aggressive experiences than females. Conclusions The one-factor model structure offers an excellent fit to our data with good internal consistency. Comparisons across sex are valid; however, direct comparisons across ethnicity and deprivation levels should be approached with caution. We recommend replication studies and encourage further research involving participants from different age groups to better understand the factor structure across diverse demographic variables.

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Section: Discussionmentioning

confidence: 99%

Psychometric Properties and Factor Structure of the Aggressive Student Culture Scale Administered to the Age 8 Growing Up in NZ Cohort

Zhang,

Underwood,

Peterson

et al. 2023

Journal of Psychoeducational Assessment

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“…Approximately 40% of Pacific children also lived in deprived households, as indicated by their caregiver reporting multiple experiences of socioeconomic deprivation (NZiDep scores of 4 or 5) in the past year. This reflects entrenched social inequities [ 31 ], institutionalized racism [ 28 ], and impacts of discriminatory immigration, employment, and social policy practices [ 32 ] experienced by Pacific peoples in NZ.…”

Section: Discussionmentioning

confidence: 99%

Sleep inequities and associations between poor sleep and mental health for school-aged children: findings from the New Zealand Health Survey

Muller,

Signal,

Shanthakumar

et al. 2023

Sleep Advances

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In Aotearoa/New Zealand ethnic inequities in sleep health exist for young children and adults and are largely explained by inequities in socioeconomic deprivation. Poor sleep is related to poor mental health for these age groups but whether sleep inequities and associations with mental health exist for school-aged children is unclear. We aimed to (1) determine the prevalence of poor sleep health including sleep problems by ethnicity, (2) examine social determinants of health associated with poor sleep, and (3) investigate relationships between poor sleep and mental health for 5-14-year-olds using cross-sectional New Zealand Health Survey data (n = 8,895). Analyses included weighted prevalence estimates and multivariable logistic regression. Short sleep was more prevalent for Indigenous Māori (17.6%), Pacific (24.5%) and Asian (18.4%) children, and snoring/noisy breathing during sleep was more prevalent for Māori (29.4%) and Pacific (28.0%) children, compared to European/Other (short sleep 10.2%, snoring/noisy breathing 17.6%). Ethnicity and neighborhood socioeconomic deprivation were independently associated with short sleep and snoring/noisy breathing during sleep. Short sleep was associated with increased odds of anxiety, attention deficit hyperactivity disorder, and activity-limiting emotional and psychological conditions after adjusting for ethnicity, deprivation, age, and gender. In addition, long sleep was independently associated with increased odds of depression. These findings demonstrate that for school-aged children ethnic inequities in sleep exist, socioeconomic deprivation is associated with poor sleep, and poor sleep is associated with poor mental health. Socio-political action is imperative to tackle social inequities to support sleep equity and mental health across the lifecourse.

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“…There is some critique of the use of large linked administrative data set for research, and in New Zealand, issues have been raised regarding consent and also indigenous data sovereignty. 72 –74 Such an expansive set, while surrounded by privacy and ‘common good’ protections, opens the possibility of misuse. The data collections are frequently deficit focussed and measures are not selected by populations but by governments and administrative agencies.…”

Section: Discussionmentioning

confidence: 99%

Social determinants and inequitable maternal and perinatal outcomes in Aotearoa New Zealand

Dawson

Auvray²,

Jaye

et al. 2022

Womens Health (Lond Engl)

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Objectives: Aotearoa New Zealand has demonstrable maternal and perinatal health inequity. We examined the relationships between adverse outcomes in a total population sample of births and a range of social determinant variables representing barriers to equity. Methods: Using the Statistics New Zealand Integrated Data Infrastructure suite of linked administrative data sets, adverse maternal and perinatal outcomes (mortality and severe morbidity) were linked to socio-economic and health variables for 97% of births in New Zealand between 2003 and 2018 (~970,000 births). Variables included housing, economic, health, crime and family circumstances. Logistic regression examined the relationships between adverse outcomes and social determinants, adjusting for demographics (socio-economic deprivation, education, parity, age, rural/urban residence and ethnicity). Results: Māori (adjusted odds ratio = 1.21, 95% confidence interval = 1.18–1.23) and Asian women (adjusted odds ratio 1.39, 95% confidence interval = 1.36–1.43) had poorer maternal or perinatal outcomes compared to New Zealand European/European women. High use of emergency department (adjusted odds ratio = 2.68, 95% confidence interval = 2.53–2.84), disability (adjusted odds ratio = 1.98, 95% confidence interval = 1.83–2.14) and lack of engagement with maternity care (adjusted odds ratio = 1.89, 95% confidence interval = 1.84–1.95) had the strongest relationship with poor outcomes. Conclusion: Maternal health inequity was strongly associated with a range of socio-economic and health determinants. While some of these factors can be targeted for interventions, the study highlights larger structural and systemic issues that affect maternal and perinatal health.

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‘Seeing’ our tamariki in longitudinal studies: exploring the complexity of ethnic identification trajectories within Growing Up in New Zealand

Cited by 8 publications

References 27 publications

Psychometric Properties and Factor Structure of the Aggressive Student Culture Scale Administered to the Age 8 Growing Up in NZ Cohort

Psychometric Properties and Factor Structure of the Aggressive Student Culture Scale Administered to the Age 8 Growing Up in NZ Cohort

Sleep inequities and associations between poor sleep and mental health for school-aged children: findings from the New Zealand Health Survey

Social determinants and inequitable maternal and perinatal outcomes in Aotearoa New Zealand

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