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Introduction: Pasifika young people of Aotearoa New Zealand are known to experience higher rates of mental health and addiction conditions (especially anxiety and depression), compared with young non-Māori/non-Pasifika (NMNP). However, there is little information about how well these issues are identified by mental health services. Aim: We compared rates of diagnosis of common mental health and substance use-related conditions between Pasifika and NMNP young people (aged 10-24 years) and examined how these diagnoses varied with deprivation. Method: This national, cross-sectional study was undertaken using 2017/18 fiscal year data from a national database known as the Integrated Data Infrastructure. Specialist mental health service use, hospitalisations and pharmaceutical dispensing for any mental health condition, emotional condition (depression and/or anxiety), substance use-related conditions, and self-harm were examined. Results: A total of 982,305 young people (12.4%, Pasifika and 63.9%, NMNP) were identified. Compared with NMNP, Pasifika young people were significantly less likely to be diagnosed by specialist mental health services with any mental health condition (adjusted Risk Ratio (aRR) = 0.77, 95% CI = 0.75 to 0.78); any emotional condition (aRR= 0.44, 95% Confidence Interval (CI) = 0.43 to 0.45); or to be hospitalised for self-harm (aRR = 0.88, 95% CI = 0.82 to 0.94). However, they were significantly more likely than NMNP to be diagnosed with substance use-related conditions (aRR = 1.68, 95% CI = 1.63 to 1.74). Although the overall rate of mental health issues remained relatively stable across deprivation levels, emotional conditions were much less frequently diagnosed in those with greater deprivation. Discussion: Discrepancies between expected and identified rates of diagnoses of common mental health and substance use-related conditions might indicate different patterns of service access by Pasifika young people, or they may reflect the bias of an inequitable and less than culturally appropriate health system.

To examine specialist mental health service, hospital discharge, and pharmaceutical dispensing data for emotional conditions (anxiety, depression), substance use, and self-harm for Māori compared to non-Māori/non-Pasifika (NMNP) youth.A novel population-level case identification method using New Zealand's Integrated Data Infrastructure for 232,845 Māori and 627,891 NMNP aged 10-24 years. Descriptive statistics on mental health conditions were generated and stratified by Māori/NMNP. Unadjusted and adjusted risk ratios (RRs) of mental health conditions were generated using generalised linear regression.Māori were less likely to be identified for anxiety (ARR=0.88; 95% CI 0.85-0.90) or depression (ARR=0.92; 95% CI 0.90-0.95) than NMNP. They were more likely to be identified for substance problems (ARR)=2.66; 95% CI 2.60-2.71) and self-harm (ARR=1.56; 95% CI 1.50-1.63). Māori living in high deprivation areas were significantly more likely to be identified for substance problems, but less likely for emotional conditions, than Māori in least deprived areas.Despite known high levels of mental health concerns for rangatahi Māori, administrative data suggests significant under-reporting, assessment, and treatment of emotional conditions relative to NMNP. These differences were exacerbated by deprivation. Māori were more likely to be referred to services for externalised symptoms of distress (substance use and self-harm).

Background: This study investigates the association between television (TV) viewing and child adiposity and if parental education and child ethnicity moderate this association.Method: Cross-sectional, pooled (2013/2014–2016/2017) adult and child New Zealand Health Survey were matched resulting in 13,039 children (2–14 y) and parent dyads. Child TV viewing was estimated using self-reported time for each weekday and weekend. The height (in centimeters), weight (in kilograms), and waist circumference of parents and children were measured. Childhood body mass index and obesity were defined using the International Obesity Task Force cutoff values. Effect modification was assessed by interaction and then by stratifying regression analyses by parent education (low, moderate, and high) and child ethnicity (Asian, European/other, Māori, and Pacific).Results: Overall, watching ≥2 hours TV on average per day in the past week, relative to zscore (b = 0.123 [0.061–0.187]), and higher waist circumference (b = 0.546 [0.001–1.092]). Interactions considering this association by child ethnicity and parent education revealed little evidence of effect modification.Conclusion: While TV viewing was associated with child adiposity, the authors found little support for a moderating role of parental education and child ethnicity.

Globally, geospatial concepts are becoming increasingly important in epidemiological and public health research. Individual level linked population-based data afford researchers with opportunities to undertake complex analyses unrivalled by other sources. However, there are significant challenges associated with using such data for impactful geohealth research. Issues range from extracting, linking and anonymising data, to the translation of findings into policy whilst working to often conflicting agendas of government and academia. Innovative organisational partnerships are therefore central to effective data use. To extend and develop existing collaborations between the institutions, in June 2019, authors from the Leeds Institute for Data Analytics and the Alan Turing Institute, London, visited the Geohealth Laboratory based at the University of Canterbury, New Zealand. This paper provides an overview of insight shared during a two-day workshop considering aspects of linked population-based data for impactful geohealth research. Specifically, we discuss both the collaborative partnership between New Zealand’s Ministry of Health (MoH) and the University of Canterbury’s GeoHealth Lab and novel infrastructure, and commercial partnerships enabled through the Leeds Institute for Data Analytics and the Alan Turing Institute in the UK. We consider the New Zealand Integrated Data Infrastructure as a case study approach to population-based linked health data and compare similar approaches taken by the UK towards integrated data infrastructures, including the ESRC Big Data Network centres, the UK Biobank, and longitudinal cohorts. We reflect on and compare the geohealth landscapes in New Zealand and the UK to set out recommendations and considerations for this rapidly evolving discipline.

COVID-19 can affect the entire population, but it poses an increased risk for particular population groups. Socioeconomic and demographic factors, as well as long-term health conditions, can make p...

Background The prevalence of children with elevated weight or obesity is concerning for public health due to associated comorbidities. This study investigates associations between parental adiposity, physical activity (PA), fruit and vegetable consumption, and child adiposity and moderation by both child and parent gender. Methods Cross-sectional nationally representative data from the New Zealand Health Survey were pooled for the years 2013/14-2016/17. Parent and child surveys were matched resulting in 13,039 child (2-14 years) and parent (15-70 years) dyads. Parent and child, height (cm), weight (kg) and waist circumference (WC) were measured objectively. Height and weight were used to calculate BMI. Linear regression, accounting for clustered samples (b [95% CI]) investigated associations between parental characteristics and child BMI z-score and WC. Interactions and stratification were used to investigate effect moderation by parent gender, child gender, and parent adiposity. Results Parental PA and fruit and vegetable consumption were unrelated to child adiposity. Overall, higher parent BMI was related to a higher child BMI z-score (b = 0.047 [0.042, 0.052]) and higher parental WC was related to a higher child WC (0.15 [0.12, 0.17]). A three-way interaction revealed no moderation by parent gender, child gender, and parent BMI for child BMI z-score ((b = 0.005 [-0.017, 0.027], p = 0.318). However, a three-way interaction revealed moderation by parent gender, child gender, and parent WC for child WC (b = 0.13 [0.05, 0.22]). The slightly stronger associations were seen between father-son WC (b = 0.20 [0.15, 0.24]) and mother-daughter WC (b = 0.19 [0.15, 0.22]). Conclusions The findings are highly relevant for those wishing to understand the complex relationships between child-parent obesity factors. Findings suggest that family environments should be a key target for obesity intervention efforts and show how future public health interventions should be differentiated to account for both maternal and paternal influences on child adiposity.

BackgroundThe COVID-19 pandemic has asked unprecedented questions of governments around the world. Policy responses have disrupted usual patterns of movement in society, locally and globally, with resultant impacts on national economies and human well-being. These interventions have primarily centred on enforcing lockdowns and introducing social distancing recommendations, leading to questions of trust and competency around the role of institutions and the administrative apparatus of state. This study demonstrates the unequal societal impacts in population movement during a national ‘lockdown’.MethodsWe use nationwide mobile phone movement data to quantify the effect of an enforced lockdown on population mobility by neighbourhood deprivation using an ecological study design. We then derive a mobility index using anonymised aggregated population counts for each neighbourhood (2253 Census Statistical Areas; mean population n=2086) of national hourly mobile phone location data (7.45 million records, 1 March 2020–20 July 2020) for New Zealand (NZ).ResultsCurtailing movement has highlighted and exacerbated underlying social and spatial inequalities. Our analysis reveals the unequal movements during ‘lockdown’ by neighbourhood socioeconomic status in NZ.ConclusionIn understanding inequalities in neighbourhood movements, we are contributing critical new evidence to the policy debate about the impact(s) and efficacy of national, regional or local lockdowns which have sparked such controversy.

New Zealand has a large research database called the Integrated Data Infrastructure (IDI). The IDI contains linked microdata about people and households from a wide range of authoritative datasets and surveys originating in and outside government. The GeoHealth Laboratory at the University of Canterbury in collaboration with the New Zealand Ministry of Health supports policymakers and stakeholders across the New Zealand health system through several IDI research projects. One such project aims to determine how an individual’s place of residence and the frequency of residential movement can affect access to regionally-provided health and community services. The presented case study examines the relationships between limited or irregular interaction with health services and potential drivers such as low-engagement, non-enrolment or transience during the study period (August 2013 - July 2018).

Background Accounting for the co-occurrence of multiple environmental influences is a more accurate reflection of population exposure than considering isolated influences, aiding in understanding the complex interactions between environments, behaviour and health. This study examines how environmental ‘goods’ such as green spaces and environmental ‘bads’ such as alcohol outlets co-occur to develop a nationwide area-level healthy location index (HLI) for New Zealand. Methods Nationwide data were collected, processed, and geocoded on a comprehensive range of environmental exposures. Health-constraining ‘bads’ were represented by: (i) fast-food outlets, (ii) takeaway outlets, (iii) dairy outlets and convenience stores, (iv) alcohol outlets, (v) and gaming venues. Health-promoting ‘goods’ were represented by: (i) green spaces, (ii) blue spaces, (iii) physical activity facilities, (iv) fruit and vegetable outlets, and (v) supermarkets. The HLI was developed based on ranked access to environmental domains. The HLI was then used to investigate socio-spatial patterning by area-level deprivation and rural/urban classification. Results Results showed environmental ‘goods’ and ‘bads’ co-occurred together and were patterned by area-level deprivation. The novel HLI shows that the most deprived areas of New Zealand often have the most environmental ‘bads’ and less access to environmental ‘goods’. Conclusions The index, that is now publicly available, is able to capture both inter-regional and local variations in accessibility to health-promoting and health-constraining environments and their combination. Results in this study further reinforce the need to embrace the multidimensional nature of neighbourhood and place not only when designing health-promoting places, but also when studying the effect of existing built environments on population health.

Background Declining childhood immunization represents a serious public health problem globally and in New Zealand. To guide efforts to increase immunization coverage, this study monitors nationwide change in immunization coverage since the introduction of the National Immunisation Register (NIR) in 2005 and spatiotemporal patterns of immunization coverage from 2006 to 2017. Methods The study population consisted of 4 482 499 individual immunization records that were obtained from the NIR (2005–2017). Data on yearly and average immunization coverage in census area units (CAUs) in New Zealand were calculated by milestone age (6/8/12/18/24/60/144 months). Data for 2005 were excluded due to missing records in the introductory period of the NIR. We analyzed spatial and spatiotemporal patterns using Gi* and SaTScan methods. Results Immunization coverage improved since the introduction of the NIR in 2005, reaching a peak in 2014 and 2015 with a slight decrease in 2016 and 2017. Well and insufficiently immunized areas were identified with spatial autocorrelation analyses highlighting several hot- and cold-spots. Comparison of CAUs with neighbouring CAUs allowed for the identification of places where immunization coverage was significantly higher or lower than expected, over both time and space. Conclusion We provide the first spatiotemporal analysis of childhood immunization in New Zealand that utilizes a large sample of over 4.4 million individual immunization records. Our spatial analyses enable policymakers to understand the development of childhood immunization coverage and make more effective prevention strategies in New Zealand.

This study combines data on the location of health-constraining 'bads' (i: fast-food outlets, ii: takeaway outlets, iii: dairy outlets and convenience stores, iv: alcohol outlets, and v: gaming venues) and health-promoting 'goods' (i: green spaces, ii: blue spaces, iii: physical activity facilities, and iv: fruit and vegetable outlets) into a nationwide Healthy Living Index. This was applied to pooled (2015/16-2017/18) nationally representative New Zealand Health Survey data, with mental health conditions (depression, bipolar, and anxiety) and psychological distress as population-level outcomes. Mental health was associated with proximity to environmental 'goods' and 'bads'. Compared to those individuals who reside within the unhealthiest environments, there was a steady reduction in the odds of adverse mental health outcomes and psychological distress as the environment became more health-promoting.

Background Immunisation is a safe and effective way of protecting children and adults against harmful diseases. However, immunisation coverage of children is declining in some parts of New Zealand. Aim Use a nationwide sample to first, examine the socioeconomic and demographic determinants of immunisation coverage and spatial variation in these determinants. Second, it investigates change in immunisation coverage in New Zealand over time. Methods Individual immunisation records were obtained from the National Immunisation Register (NIR) (2005–2017; 4,482,499 events). We calculated the average immunisation coverage by year and milestone age for census area units (CAU) and then examined the immunisation coverage by selected socioeconomic and demographic determinants. Finally, local variations in the association between immunisation coverage and selected determinants were investigated using geographically weighted regression. Results Findings showed a decrease of immunisation rates in recent years in CAUs with high immunisation coverage in the least deprived areas and increasing immunisation rates in more deprived areas. Nearly all explanatory variables exhibited a spatial variation in their association with immunisation coverage. For instance, the strongest negative effect of area-level deprivation is observed in the northern part of the South Island, the central-southern part of the North Island, around Auckland, and in Northland. Conclusion Our findings show that childhood immunisation coverage varies by socioeconomic and demographic factors across CAUs. We also identify important spatial variation and changes over time in recent years. This evidence can be used to improve immunisation related policy in New Zealand.

This city profile provides a transdisciplinary story of Ōtautahi Christchurch, Aotearoa New Zealand. We take a socio-cultural history approach to describe multiple disruptions that have led to the city's current urban form and community resilience, with a specific emphasis on the experiences of Māori since colonisation. Ōtautahi Christchurch is the ancestral home of Ngāi Tahu people who exercise mana whenua - Indigenous sovereignty with respect to land, derived from genealogy and occupation. The area was colonised in the early 1800s and the city's strong colonial English ties are still visible in the city's layout, public spaces, urban representations, and architecture. Te Waipounamu South Island lies in an active fault zone resulting in high seismic activity. The Canterbury Earthquake Sequence 2010-2012 had a significant impact on the health of local communities, infrastructure and economies across the region. Subsequent recovery and long-term regeneration strategies across the region have been developed and partly implemented to date. Citizens embrace collaborative temporary urban projects to bridge the gap between emergency response and urban recovery with a return of Māori influence post-quake. This type of place-making contributes to the re-establishment of a sense of place in Ōtautahi Christchurch and a continuous engagement focused in reconnecting the citizens with the city. With this city profile we contribute to the field of critical geographies by sharing the cultural lessons learnt on indigenous resilience to disasters recovery, which may be of relevance to other cities facing ecological and cultural disruptions.

The aim of this research is to analyse the spatial epidemiology of Type 2 Diabetes Mellitus (T2DM) and investigate associations with the built environment in urban New Zealand. Data on T2DM was sourced from the New Zealand Virtual Diabetes Register (2016), and data on environmental variables sourced from the Ministry for Primary Industries and Territorial Authorities (2013–2016). Novel measures of the built environment using an enhanced two-step floating catchment area model were established using data on fast food outlets, takeaways, dairy/convenience stores, supermarkets and fruit/vegetable stores. Rates of T2DM per 1,000 population and standardised morbidity ratios were computed and visualised for all urban areas. Getis Ord was used to assess spatial clustering, and Bayesian modelling was used to understand associations between T2DM and environmental variables. Results indicate that T2DM is influenced by demographic factors, spatially clustered and associated with accessibility to environmental exposures. Health-promoting resources, such as fruit/vegetable stores, were shown to have a consistently protective effect on T2DM while those considered detrimental to health showed varying, and largely insignificant, associations. This is the first study in New Zealand to spatially quantify the effects of multiple environmental exposures on population level T2DM for all urban areas using a geospatial approach. It has implications for both policy and future research efforts as a deeper knowledge of local environments forms a basis on which to better understand spatial associations between the built environment and health, as well as formulate policy directed toward environmental influences on chronic health conditions.

Background While it is likely that changing food environments have contributed to the rise in obesity rates, very few studies have explored historical trends in the food environment with little, if any, consideration at a nationwide level. This longitudinal, nationwide, and geospatial study aims to examine change over time in proximity to food environments in all urban areas of New Zealand from 2005 to 2015. Method This study used high quality food outlet data by area-level deprivation within the three largest urban areas of Auckland, Christchurch and Wellington. We hypothesise that distance and travel time by car to supermarkets and fast-food outlets will have decreased over time with the most notable decreases in distance and time occuring in the most deprived areas of urban New Zealand. Change in major chain “fast-food” and “supermarket” outlets as identified by Territorial Authorities between 2005 and 2015 was analysed through the use of multilevel regression models. Results Findings show a decrease in distance and time to both fast-food outlets and supermarkets. The biggest decrease in distance for supermarkets was seen in the most deprived areas. Conclusion Our findings contrast and add to previous evidence to demonstrate how changes in the food environment are not uniform, varying by area-level deprivation and by city with more equitable access to supermarkets occurring over time.

This nationwide study investigated the relationship between proximity to alcohol outlets (off-licence, on-licence, and other-licence) and two adverse outcomes; hazardous drinking and crime (common assault, non-aggravated sexual assault, aggravated sexual assault, and tobacco and liquor offences). After adjustment for important individual- and area-level factors, close proximity to alcohol outlets was associated with increased risk of hazardous drinking, with strong associations for on-licence outlets. Proximity alcohol outlets was also strongly associated with all crime outcomes, often with a dose-response relationship. Nationally representative New Zealand data showed that close proximity to alcohol outlets was associated with increased crime and hazardous drinking.