9 research outputs found

    National estimates from the Youth’19 Rangatahi smart survey: A survey calibration approach

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    Background Significant progress has been made addressing adolescent health needs in New Zealand, but some areas, such as mental health issues remain, particularly for rangatahi Māori (indigenous Māori young people). Little is known about how contemporary Māori whānau (families) and communities influence health outcomes, health literacy and access to services. Previous nationally representative secondary school surveys were conducted in New Zealand in 2001, 2007 and 2012, as part of the Youth2000 survey series. This paper focuses on a fourth survey conducted in 2019 (https://www.youth19.ac.nz/). In 2019, the survey also included kura kaupapa Māori schools (Māori language immersion schools), and questions exploring the role of family connections in health and wellbeing. This paper presents the overall study methodology, and a weighting and calibration framework in order to provide estimates that reflect the national student population, and enable comparisons with the previous surveys to monitor trends. Methods Youth19 was a cross sectional, self-administered health and wellbeing survey of New Zealand high school students. The target population was the adolescent population of New Zealand (school years 9–13). The study population was drawn from three education regions: Auckland, Tai Tokerau (Northland) and Waikato. These are the most ethnically diverse regions in New Zealand. The sampling design was two-stage clustered stratified, where schools were the clusters, and strata were defined by kura schools and educational regions. There were four strata, formed as follows: kura schools (Tai Tokerau, Auckland and Waikato regions combined), mainstream-Auckland, mainstream-Tai Tokerau and mainstream-Waikato. From each stratum, 50% of the schools were randomly sampled and then 30% of students from the selected schools were invited to participate. All students in the kura kaupapa schools were invited to participate. In order to make more precise estimates and adjust for differential non-response, as well as to make nationally relevant estimates and allow comparisons with the previous national surveys, we calibrated the sampling weights to reflect the national secondary school student population. Results There were 45 mainstream and 4 kura schools included in the final sample, and 7,374 mainstream and 347 kura students participated in the survey. There were differences between the sampled population and the national secondary school student population, particularly in terms of sex and ethnicity, with a higher proportion of females and Asian students in the study sample than in the national student population. We calculated estimates of the totals and proportions for key variables that describe risk and protective factors or health and wellbeing factors. Rates of risk-taking behaviours were lower in the sampled population than what would be expected nationally, based on the demographic profile of the national student population. For the regional estimates, calibrated weights yield standard errors lower than those obtained with the unadjusted sampling weights. This leads to significantly narrower confidence intervals for all the variables in the analysis. The calibrated estimates of national quantities provide similar results. Additionally, the national estimates for 2019 serve as a tool to compare to previous surveys, where the sampling population was national. Conclusions One of the main goals of this paper is to improve the estimates at the regional level using calibrated weights to adjust for oversampling of some groups, or non-response bias. Additionally, we also recommend the use of calibrated estimators as they provide nationally adjusted estimates, which allow inferences about the whole adolescent population of New Zealand. They also yield confidence intervals that are significantly narrower than those obtained using the original sampling weights

    Factors predicting forgone healthcare among Asian adolescents in New Zealand: unmasking variations in aggregate data.

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    AIM: To examine the relationship between social support, safety, healthcare experience and forgone healthcare for Asian secondary school students in New Zealand by unmasking variations in aggregate Asian data. METHODS: The study population included 1,911 Asians (1,272 East Asians and 604 South Asians) from the Youth19 survey. The reference group included 3,053 Pākehā. RESULTS: We found disparities in family socioeconomic status (SES), social support, safety in school and neighbourhood, healthcare experience and forgone healthcare between East Asians and South Asians compared to Pākehā. One in five Asians (20%) reported forgone healthcare. Compared to their Pākehā peers (18%), Asian students (AOR=1.18, CI=1.04–1.33) and East Asian students (AOR=1.24, CI=1.06–1.45) were more likely to experience forgone healthcare, but South Asian students were not (AOR=1.05, CI=0.86–1.28). Important unique predictors of forgone healthcare for both East and South Asian students were: being discriminated against by health professionals due to ethnicity, not having a family member to talk about their worries with, and unfair treatment by teachers. Other unique predictors varied: lower community and family SES, not getting enough quality time with family, and being bullied at school were significant predictors for East Asian students; low perceived neighbourhood safety was a predictor for South Asian students. CONCLUSIONS: A complicated picture underlies the seemingly positive findings for the overall Asian group. We highlight the importance of disaggregating Asian youth data into East Asian and South Asian, to identify disparities in risk/protective factors and better inform targeted interventions

    Addendum: The FAIR Guiding Principles for scientific data management and stewardship.

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    Addendum to: Scientific Data https://doi.org/10.1038/sdata.2016.18, published online 15 March 2016 Since publication, the URL at which the FAIR principles ‘living document’ is hosted and maintained has changed from http://datafairport.org/fair-principles-living-document-menu to https://www.go-fair.org/fair-principles/