Close proximity to alcohol outlets is associated with increased crime and hazardous drinking: Pooled nationally representative data from New Zealand

Hobbs, Matthew; Marek, L.; Wiki, Jesse; Campbell, Malcolm; By, Deng; Sharpe, Hilary; McCarthy, John P.; Kingham, Simon

doi:10.1016/j.healthplace.2020.102397

Cited by 21 publications

(12 citation statements)

References 27 publications

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“…One example is investigating the link between the location of alcohol outlets and adverse health outcomes. The GHL has done research on this in 2012 (Day et al, 2012) and 2020 (Hobbs et al, 2020); the latter a response for an update to the earlier research. In addition requests for the research come from the public and other parts of government (e.g.…”

Section: Collaborative Partnerships In New Zealandmentioning

confidence: 99%

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Oldroyd

Hobbs

Campbell

et al. 2021

Appl. Spatial Analysis

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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.

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Section: Collaborative Partnerships In New Zealandmentioning

confidence: 99%

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Oldroyd

Hobbs

Campbell

et al. 2021

Appl. Spatial Analysis

Self Cite

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“…The burden of non-communicable diseases on health systems globally, including in New Zealand, is substantial, and it is expected to increase dramatically in the next 20 years [ 2 ]. Access to these commodities is a key determinant of consumption [ 3 ], with increased levels of access to unhealthy food and alcohol outlets associated with poorer health and social outcomes [ 4 , 5 ]. Thus, understanding and managing access to unhealthy commodities is key to minimising harm.…”

Section: Introductionmentioning

confidence: 99%

Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand

et al. 2022

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Access to unhealthy commodities is a key factor determining consumption, and therefore influences the prevalence of non-communicable diseases. Recently, there has been an increase in the availability of food ‘on-demand’ via meal delivery apps (MDAs). However, the public health and equity impacts of this shift are not yet well understood. This study focused on three MDAs in New Zealand and aimed to answer (1) what is the health profile of the foods being offered on-demand, (2) how many food outlets are available and does this differ by physical access or neighbourhood demographics and (3) does the health profile of foods offered differ by physical access or neighbourhood demographics? A dataset was created by sampling a set of street addresses across a range of demographic variables, and recording the menu items and number of available outlets offered to each address. Machine learning was utilised to evaluate the healthiness of menu items, and we examined if healthiness and the number of available outlets varied by neighbourhood demographics. Over 75% of menu items offered by all MDAs were unhealthy and approximately 30% of all menu items across the three MDAs scored at the lowest level of healthiness. Statistically significant differences by demographics were identified in one of the three MDAs in this study, which suggested that the proportion of unhealthy foods offered was highest in areas with the greatest socioeconomic deprivation and those with a higher proportion of Māori population. Policy and regulatory approaches need to adapt to this novel mode of access to unhealthy foods, to mitigate public health consequences and the effects on population groups already more vulnerable to non-communicable diseases.

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“…Over the past few decades since the mid-1980s, a liberalization of government policy, largely supported by the public, has contributed to increased availability and promotion of alcohol (Maclennan et al, 2012). Availability continues to be linked to harm including crime, and the associated need for policing these crimes (Hobbs et al, 2020). Consumption of alcohol contributes to other harms including injury resulting in emergency department presentation (Kool et al, 2018), and alcohol use is attributed as a cause of cancer for many people (Connor et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Asian Drinking Cultures in New Zealand: A Scoping Review

et al. 2022

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Alcohol use causes harm across most populations. However, comparatively little research and policy attention has been paid to drinking cultures among Asian people. A scoping review was undertaken to identify drinking patterns, alcohol-related harm, drinking culture among Asian youth, young adults, and adults living in New Zealand. A search of literature identified 39 relevant outputs. The findings indicated that Asian people enjoy a comparative health advantage when compared with non-Asian population groups through lower rates of alcohol consumption, less risky drinking, and experiencing less harm from drinking. Despite these advantages, the results identified areas where improvements with Asian people’s relationships and experiences with alcohol may be warranted. It is important to develop targeted approaches to Asian drinking that can build on the current whole population-level alcohol initiatives. Further research is warranted to identify specific and additional strategies to address problematic alcohol use in this cohort.

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Close proximity to alcohol outlets is associated with increased crime and hazardous drinking: Pooled nationally representative data from New Zealand

Cited by 21 publications

References 27 publications

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand

Asian Drinking Cultures in New Zealand: A Scoping Review

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