Proximity of alcohol outlets and presentation to hospital by young people after self-harm: A retrospective geospatial study using the integrated data infrastructure.

OBJECTIVES: There is a well-established association between alcohol use, misuse, intoxication and self-harm, the latter of which is associated with suicide. This study aimed to better understand the association between proximity to alcohol outlets and the likelihood of young people presenting to hospital following self-harm. METHODS: This was a nationwide retrospective geospatial study using data from the New Zealand Integrated Data Infrastructure using population-level data for 10-29-year-olds for the 2018 and 2017 calendar years. Presentations to hospital following self-harm were identified using the national minimum data set. Proximity to alcohol outlets was defined in road network distance (in kilometres) and ascertained using Integrated Data Infrastructure geospatial data. Alternative measures of proximity were employed in sensitivity analyses. Complete-case two-level random intercept logistic regression models were used to estimate the relationship between alcohol outlet proximity and hospital presentation for self-harm. Adjusted models included sex, age, ethnicity, area-level deprivation, urbanicity and distance to nearest medical facility. Analyses were also stratified by urbanicity. RESULTS: Of the 1,285,368 individuals (mean [standard deviation] age 20.0 [5.9] years), 7944 (0.6%) were admitted to hospital for self-harm. Overall, the odds of presenting to hospital for self-harm significantly decreased as the distance from the nearest alcohol outlet increased, including in adjusted models (adjusted odds ratio 0.980; 95% confidence interval = [0.969-0.992]); the association was robust to changes in the measure of alcohol proximity. The effect direction was consistent across all categorisations of urbanicity, but only statistically significant in large urban areas and rural areas. CONCLUSIONS: The findings of this study show a clear association between young people's access to alcohol outlets and presentation to hospital for self-harm and may provide a mandate for government policies and universal interventions to reduce young people's access to alcohol outlets. Further research regarding causative mechanisms is needed.

The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand.

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.

Spatial-temporal patterns of childhood immunization in New Zealand (2006-2017): an improving pattern but not for all?

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.

Change in the food environment and measured adiposity in adulthood in the Christchurch Health and development birth cohort, Aotearoa, New Zealand: A birth cohort study.

This study investigated associations between change in the food environment and change in measured body mass index (BMI) and waist circumference (WC) in the Christchurch Health and Development Study (CHDS) birth cohort. Our findings suggest that cohort members who experienced the greatest proportional change towards better access to fast food outlets had the slightly larger increases in BMI and WC. Contrastingly, cohort members who experienced the greatest proportional change towards shorter distance and better access to supermarkets had slightly smaller increases in BMI and WC. Our findings may help explain the changes in BMI and WC at a population level.

Mental health inequities for Maori youth: a population-level study of mental health service data.

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

A geospatial analysis of Type 2 Diabetes Mellitus and the food environment in urban New Zealand.

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 1000 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.

National movement patterns during the COVID-19 pandemic in New Zealand: the unexplored role of neighbourhood deprivation.

BACKGROUND: The 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'. METHODS: We 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). RESULTS: Curtailing movement has highlighted and exacerbated underlying social and spatial inequalities. Our analysis reveals the unequal movements during 'lockdown' by neighbourhood socioeconomic status in NZ. CONCLUSION: In 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.

Investigating change in the food environment over 10 years in urban New Zealand: A longitudinal and nationwide geospatial study.

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.

Investigating the Association Between Child Television Viewing and Measured Child Adiposity Outcomes in a Large Nationally Representative Sample of New Zealanders: A Cross-Sectional Study.

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, Maori, and Pacific). RESULTS: Overall, watching ≥2 hours TV on average per day in the past week, relative to <2 hours TV viewing, was associated with a higher odds of obesity (adjusted odds ratio = 1.291 [1.108-1.538]), higher body mass index z score (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.

Investigating spatial variation and change (2006-2017) in childhood immunisation coverage in New Zealand.

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.