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Sersli S, Shareck M. Is alcohol outlet availability associated with binge drinking in Canadian young adults? Findings from British Columbia and Quebec. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024; 115:567-576. [PMID: 38918359 PMCID: PMC11382645 DOI: 10.17269/s41997-024-00905-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVES Alcohol availability is associated with alcohol consumption and related harms, but there is less evidence on associations with heavy episodic drinking (HED), a drinking pattern prevalent among young adults. This study aimed to assess the associations between alcohol availability and HED among young Canadians. METHODS We used a population-based sample of Canadian urban-dwelling young adult drinkers (18‒29 years) from the cross-sectional Canadian Community Health Survey (CCHS; cycles 2015‒2019). We linked data from CCHS respondents in British Columbia and Quebec with two measures of alcohol availability for both offsite and onsite outlets: density (AOD) and accessibility (SAI) within dissemination areas (N = 1,067,747). We used logistic regression to estimate the associations between alcohol availability and monthly HED, adjusting for covariates. RESULTS The associations between availability and HED differed by province, and availability measure. In British Columbia, offsite and onsite accessibility using SAI was inversely associated with HED. For example, living in neighbourhoods with medium alcohol accessibility (as compared to low) was significantly associated with reduced odds of HED (offsite OR = 0.33, 95% CI 0.17‒0.64; onsite OR = 0.49, 95% CI 0.27‒0.89). In Quebec, offsite availability was positively associated with HED using SAI (although not statistically significant) while no clear trend was seen for onsite availability. CONCLUSION Results were consistent with previous evidence. Restricting spatial availability of alcohol remains an important public health strategy for decreasing the ease/convenience of access. Understanding why patterns of availability and drinking differ across regions could inform regionally tailored policies.
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Affiliation(s)
- Stephanie Sersli
- Faculté de médecine et des sciences de la santé, Département des sciences de la santé communautaire, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Québec, Canada
| | - Martine Shareck
- Faculté de médecine et des sciences de la santé, Département des sciences de la santé communautaire, Université de Sherbrooke, Sherbrooke, Québec, Canada.
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Québec, Canada.
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Hetrick SE, Hobbs M, Fortune S, Marek L, Wiki J, Boden JM, Theodore R, Ruhe T, Kokaua JJ, Thabrew H, Milne B, Bowden N. Proximity of alcohol outlets and presentation to hospital by young people after self-harm: A retrospective geospatial study using the integrated data infrastructure. Aust N Z J Psychiatry 2024; 58:152-161. [PMID: 37888830 PMCID: PMC10838485 DOI: 10.1177/00048674231203909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
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.
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Affiliation(s)
- Sarah E Hetrick
- Department of Psychological Medicine, School of Medicine, Faculty of Medical and Health Sciences, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand
- Suicide Prevention Office, Auckland, New Zealand
- A Better Start: E Tipu e Rea National Science Challenge, Auckland, New Zealand
| | - Matthew Hobbs
- Te Taiwhenua o te Hauora–GeoHealth Laboratory, University of Canterbury, Christchurch, Canterbury, New Zealand
- Te Kaupeka Oranga, Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand
- The Cluster for Community and Urban Resilience (CURe), University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Sarah Fortune
- Department of Social and Community Health, School of Population Health, Faculty of Medical and Health Sciences, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand
| | - Lukas Marek
- Te Taiwhenua o te Hauora–GeoHealth Laboratory, University of Canterbury, Christchurch, Canterbury, New Zealand
- Te Kaupeka Oranga, Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Jesse Wiki
- Epidemioloigy and Biostatistics, Faculty of Medical and Health Sciences, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand
| | - Joseph M Boden
- Christchurch Health and Development Study, University of Otago, Christchurch, Canterbury, New Zealand
| | - Reremoana Theodore
- National Centre for Lifecourse Research, University of Otago, Dunedin, New Zealand
| | - Troy Ruhe
- Va’a O Tautai – Centre for Pacific Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Jesse J Kokaua
- National Centre for Lifecourse Research, University of Otago, Dunedin, New Zealand
- Va’a O Tautai – Centre for Pacific Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Hiran Thabrew
- Te Ara Hāro, Department of Psychological Medicine, School of Medicine, Faculty of Medical and Health Sciences, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand
| | - Barry Milne
- A Better Start: E Tipu e Rea National Science Challenge, Auckland, New Zealand
- School of Social Sciences and Centre of Methods and Policy Application in the Social Sciences (COMPASS), The University of Auckland, Auckland, New Zealand
| | - Nicholas Bowden
- A Better Start: E Tipu e Rea National Science Challenge, Auckland, New Zealand
- Department of Women’s and Children’s Health, University of Otago, Dunedin, New Zealand
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Crossin R, Norriss D, McKerchar C, Martin G, Pocock T, Curl A. Quantifying access to on-demand alcohol in New Zealand. Drug Alcohol Rev 2024; 43:416-424. [PMID: 38044544 DOI: 10.1111/dar.13785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/05/2023]
Abstract
INTRODUCTION On-demand delivery (<2 h from ordering) of alcohol is relatively new to New Zealand. We aimed to quantify the number of services available and the number of outlets available to purchase from within on-demand services. We then tested whether access differed by neighbourhood demographics. METHODS We identified six on-demand alcohol services and quantified access to these in Auckland, Wellington and Christchurch. Eighty-one addresses were sampled according to three variables: (i) density of physical alcohol outlet tertile; (ii) socio-economic deprivation tertile; and (iii) areas within the top 20th percentile of Māori within each city. RESULTS The median number of alcohol outlets to purchase from across all on-demand delivery services was five, though this was higher in Christchurch. For all three cities combined, and for Wellington, the number of outlets available on-demand was highest in areas with the highest density of physical outlets. However, the number of outlets available virtually was not associated with physical outlet density in Auckland or Christchurch. There were no significant differences in access observed for neighbourhood socio-economic deprivation. DISCUSSION AND CONCLUSIONS On-demand delivery services are changing local alcohol environments, and may be increasing overall access to alcohol at a neighbourhood level. On-demand access patterns do not consistently reflect the physical alcohol environment. The current legislative and policy environment in New Zealand pre-dates the emergence of on-demand alcohol services. Local councils need to consider 'virtual' access as well as physical access when developing Local Alcohol Policies.
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Affiliation(s)
- Rose Crossin
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
| | - Dru Norriss
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
| | - Christina McKerchar
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
| | - Gemma Martin
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
| | - Tessa Pocock
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Angela Curl
- Department of Population Health, University of Otago Christchurch, Christchurch, New Zealand
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Hobbs M, McLeod GFH, Mackenbach JD, Marek L, Wiki J, Deng B, Eggleton P, Boden JM, Bhubaneswor D, Campbell M, Horwood LJ. 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. Health Place 2023; 83:103078. [PMID: 37517383 DOI: 10.1016/j.healthplace.2023.103078] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/11/2023] [Accepted: 06/21/2023] [Indexed: 08/01/2023]
Abstract
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.
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Affiliation(s)
- Matthew Hobbs
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; The Cluster for Community and Urban Resilience (CURe), University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand.
| | - Geraldine F H McLeod
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam UMC Location Vrije University, Amsterdam, the Netherlands; Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Amsterdam, the Netherlands
| | - Lukas Marek
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Jesse Wiki
- Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; School of Population Health, Faculty of Medical and Health Sciences, The University of Auckland - Waipapa Taumata Rau, Auckland, New Zealand
| | - Bingyu Deng
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Phoebe Eggleton
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Joseph M Boden
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Dhakal Bhubaneswor
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Malcolm Campbell
- Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; School of Earth and Environment, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - L John Horwood
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
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M H, N B, L M, J W, J K, R T, T R, J B, H T, S H, B M. The environment a young person grows up in is associated with their mental health: A nationwide geospatial study using the integrated data infrastructure, New Zealand. Soc Sci Med 2023; 326:115893. [PMID: 37119566 DOI: 10.1016/j.socscimed.2023.115893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 03/19/2023] [Accepted: 04/06/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND Mental health conditions often arise during adolescence, are multifaceted in aetiology, and may be related to the type of environment in which young people reside. This study used nationwide population-level data to investigate whether the environment a young person grows up in is associated with their mental health. METHOD Data were extracted from the Integrated Data Infrastructure (IDI), a large nationwide research repository, for 917,211 young people (aged 10-24 years) including sociodemographic and mental health data (i.e. emotional, behavioural, substance problems, and self-harm). Environmental data were sourced from the nationwide area-based Healthy Location Index (HLI), which has comprehensive data on the location of several health-constraining (i.e. fast-food outlets) and health-promoting features (i.e. physical activity facilities). Environments were classified as: i) health-promoting, ii) health-constraining, or iii) neither. Associations between the HLI and mental health were investigated using multi-level mixed effects logistic regression modelling. RESULTS Overall, there was evidence of an association between the environment a young person resided in and their mental health. Young people residing in health-constraining environments had higher odds of any mental health condition (Adjusted Odds Ratio (AOR) = 1.020 [1.001, 1.040]) and any emotional condition (AOR = 1.037 [1.012, 1.062]). Young people residing in health-promoting environments had lower odds of substance problems (AOR = 0.950 [0.905, 0.997]). There were no significant effects of the environment on behavioural conditions. CONCLUSION Our study utilises a large national sample of almost one million young people to confirm the importance of environmental determinants for mental health. It is possible that leverage points for improving the mental health of young people, and reducing the burden to the health system of mental health, can be sought in upstream environmental based interventions.
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Affiliation(s)
- Hobbs M
- Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand.
| | - Bowden N
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Marek L
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Wiki J
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Kokaua J
- Va'a O Tautai - Centre for Pacific Health, Health Sciences, University of Otago, Dunedin, New Zealand
| | - Theodore R
- National Centre for Lifecourse Research, University of Otago, Dunedin, New Zealand
| | - Ruhe T
- Va'a O Tautai - Centre for Pacific Health, Health Sciences, University of Otago, Dunedin, New Zealand
| | - Boden J
- Christchurch Health and Development Study, Department of Psychological Medicine, University of Otago Christchurch, New Zealand
| | - Thabrew H
- The Werry Centre, Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Hetrick S
- The Werry Centre, Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Milne B
- Centre of Methods and Policy Application in the Social Sciences, University of Auckland, Auckland, New Zealand
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Empowering community control over alcohol availability as a suicide and self-harm prevention measure: Policy opportunity in Aotearoa New Zealand. THE LANCET REGIONAL HEALTH - WESTERN PACIFIC 2022; 29:100631. [DOI: 10.1016/j.lanwpc.2022.100631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 11/26/2022]
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Mair C, Sumetsky N, Dougherty M, Thakar M. Do Changes to the Alcohol Retail Environment Reduce Interpersonal Violence? CURR EPIDEMIOL REP 2022; 9:282-289. [PMCID: PMC9672597 DOI: 10.1007/s40471-022-00315-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Christina Mair
- Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, 6136 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261 USA
- Center for Social Dynamics and Community Health, University of Pittsburgh School of Public Health, Pittsburgh, PA USA
| | - Natalie Sumetsky
- Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, 6136 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261 USA
- Center for Social Dynamics and Community Health, University of Pittsburgh School of Public Health, Pittsburgh, PA USA
| | - Michelle Dougherty
- Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, 6136 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261 USA
- Center for Social Dynamics and Community Health, University of Pittsburgh School of Public Health, Pittsburgh, PA USA
| | - Maya Thakar
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA USA
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Norriss D, Crossin R, Curl A, Bidwell S, Clark E, Pocock T, Gage R, McKerchar C. Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand. Nutrients 2022; 14:nu14204228. [PMID: 36296912 PMCID: PMC9607030 DOI: 10.3390/nu14204228] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/23/2022] Open
Abstract
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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Affiliation(s)
- Dru Norriss
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
| | - Rose Crossin
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
| | - Angela Curl
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
| | - Susan Bidwell
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
| | - Elinor Clark
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
| | - Tessa Pocock
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
- School of Nursing, University of Auckland, Auckland 1023, New Zealand
| | - Ryan Gage
- Department of Public Health, University of Otago Wellington, Wellington 6021, New Zealand
| | - Christina McKerchar
- Department of Population Health, University of Otago Christchurch, Christchurch 8013, New Zealand
- Correspondence: ; Tel.: +64-(3)-3643638
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Hobbs M, Stewart T, Marek L, Duncan S, Campbell M, Kingham S. Health-promoting and health-constraining environmental features and physical activity and sedentary behaviour in adolescence: a geospatial cross-sectional study. Health Place 2022; 77:102887. [DOI: 10.1016/j.healthplace.2022.102887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 11/04/2022]
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Ponjoan A, Blanch J, Alves-Cabratosa L, Martí-Lluch R, Comas-Cufí M, Cirach M, Nieuwenhuijsen M, Garcia-Gil MDM, Ramos R. Impact of residential greenness on myocardial infarction in the population with diabetes: A sex-dependent association? ENVIRONMENTAL RESEARCH 2022; 205:112449. [PMID: 34883080 DOI: 10.1016/j.envres.2021.112449] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 10/04/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Living in urban areas with abundant greenness might provide health benefits in general population. Literature suggests that sex/gender plays a role in the association between greenness and health outcomes. But the impact of greenness in populations with moderate to high cardiovascular risk, such as persons with diabetes, is still unknown. Our aim was to evaluate the relationship between urban greenness and myocardial infarction incidence in persons with type 2 diabetes in Barcelona (Catalonia, Spain), and seek potential gender/sex differences in this association. This retrospective cohort study is based on data from the System for the Development of Research in Primary Care (SIDIAP database). We used Cox models to estimate if a 0.01 increase in Normalized Difference Vegetation Index (NDVI) at census tract level was associated to reduced risk of developing a myocardial infarction. Models were adjusted by demographic and clinical characteristics at individual level, and by environmental and socioeconomic variables at census tract level. Amongst 41,463 persons with diabetes and 154,803.85 person-years of follow-up, we observed 449 incident cases of acute myocardial infarction. For each 0.01 increment in NDVI the risk of developing a myocardial infarction decreased by 6% (Hazard Ratio, HR = 0.94; 95%CI, 0.89-0.99) in the population with diabetes. When stratifying by sex, we observed a significant association only in men (HR = 0.91; 95%CI, 0.86-0.97). People with diabetes living in urban greener areas might benefit from reduced cardiovascular risk, specially men. We observed sex/gender disparities, which could be related to different exposures and activities performed in green spaces between men and women. Further studies are needed to confirm sex/gender disparities between greenness exposure and cardiovascular outcomes. Our findings contribute to improve the health of people with diabetes who should be recommended to spent time and exercise in green areas.
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Affiliation(s)
- Anna Ponjoan
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Girona Biomedical Research Institute (IDIBGI), Dr.Trueta University Hospital, 17190, Girona, Catalonia, Spain.
| | - Jordi Blanch
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Lia Alves-Cabratosa
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Ruth Martí-Lluch
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Girona Biomedical Research Institute (IDIBGI), Dr.Trueta University Hospital, 17190, Girona, Catalonia, Spain.
| | - Marc Comas-Cufí
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Marta Cirach
- ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain.
| | - Mark Nieuwenhuijsen
- ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain.
| | - María Del Mar Garcia-Gil
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain.
| | - Rafel Ramos
- Vascular Health Research Group (ISV)-Girona. Jordi Gol Institute for Primary Care Research (IDIAP Jordi Gol), 17002, Girona, Catalonia, Spain; Translab Research Group, Department of Medical Sciences, School of Medicine, University of Girona, Girona, Catalonia, Spain.
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Oldroyd RA, Hobbs M, Campbell M, Jenneson V, Marek L, Morris MA, Pontin F, Sturley C, Tomintz M, Wiki J, Birkin M, Kingham S, Wilson M. Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom. APPLIED SPATIAL ANALYSIS AND POLICY 2021; 14:1025-1040. [PMID: 33942015 PMCID: PMC8081771 DOI: 10.1007/s12061-021-09381-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/20/2021] [Indexed: 06/12/2023]
Abstract
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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Affiliation(s)
- R. A. Oldroyd
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Geography, University of Leeds, Leeds, UK
| | - M. Hobbs
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
- Health Sciences, College of Education, Health and Human Development, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - M. Campbell
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
- School of Earth and Environment, College of Science, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - V. Jenneson
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - L. Marek
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - M. A. Morris
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Medicine, University of Leeds, Leeds, UK
- Alan Turing Institute, London, UK
| | - F. Pontin
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - C. Sturley
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Medicine, University of Leeds, Leeds, UK
| | - M. Tomintz
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - J. Wiki
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - M. Birkin
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- Alan Turing Institute, London, UK
| | - S. Kingham
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
- School of Earth and Environment, College of Science, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - M. Wilson
- Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
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Marek L, Hobbs M, Wiki J, Kingham S, Campbell M. The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand. Int J Health Geogr 2021; 20:16. [PMID: 33823853 PMCID: PMC8025579 DOI: 10.1186/s12942-021-00269-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
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. Supplementary Information The online version contains supplementary material available at 10.1186/s12942-021-00269-x.
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Affiliation(s)
- Lukas Marek
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.
| | - Matthew Hobbs
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Health Sciences, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Jesse Wiki
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | - Simon Kingham
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Malcolm Campbell
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand.,School of Earth and Environment, University of Canterbury, Christchurch, Canterbury, New Zealand
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