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      Do ‘environmental bads’ such as alcohol, fast food, tobacco, and gambling outlets cluster and co-locate in more deprived areas in Glasgow City, Scotland?

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          Abstract

          This study utilised an innovative application of spatial cluster analysis to examine the socio-spatial patterning of outlets selling potentially health-damaging goods/services, such as alcohol, fast food, tobacco and gambling, within Glasgow City, Scotland. For all categories of outlets combined, numbers of clusters increased linearly from the least to the most income deprived areas (i.e. one cluster within the least deprived quintile to ten within the most deprived quintile). Co-location of individual types of outlets (alcohol, fast food, tobacco and gambling) within similar geographical areas was also evident. This type of research could influence interventions to tackle the co-occurrence of unhealthy behaviours and contribute to policies tackling higher numbers of ‘environmental bads’ within deprived areas.

          Highlights

          • For all outlets combined, cluster numbers increased with increasing deprivation.

          • Poorer areas showed more alcohol, fast food, tobacco, and gambling outlet clusters.

          • Our evidence suggested co-location of various types of outlets in similar areas.

          • Cluster analysis was used as an innovative tool to explore spatial retail access.

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          Most cited references65

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          An ecological study of the relationship between social and environmental determinants of obesity.

          There is growing concern with the increasing prevalence of obesity in industrialised countries, a trend that is more apparent in the poor than in the rich. In an ecological study, the relationship between an area measure of socioeconomic status (SES) and the density of fast-food outlets was examined as one possible explanation for the phenomenon. It was found that there was a dose-response between SES and the density of fast-food outlets, with people living in areas from the poorest SES category having 2.5 times the exposure to outlets than people in the wealthiest category. The findings are discussed.
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            Risk factors for pathological gambling.

            To better understand pathological gambling, potential risk factors were assessed within three domains--gambling behaviors, substance abuse and other problem behaviors, and sociodemographic factors. A random-digit-dial telephone survey was conducted in 1999-2000 with a representative sample of the U.S. population aged 18 or older. The current analyses uses data from the 2168 respondents who gambled in the year before the interview. Gambling measures included the Diagnostic Interview Schedule (DIS)-IV for pathological gambling, frequency of 15 types of gambling, and size of win or loss on the last occasion. Other measures included the quantity and frequency of alcohol consumption, frequency of illicit drug use and criminal offending, and the DIS-IV for alcohol and drug abuse and dependence. Results showed that casino gambling is associated with a high risk of gambling pathology. Lottery, cards, and bingo are associated with a moderately high risk of gambling pathology. Participation in a greater number of types of gambling is strongly predictive of gambling pathology, even after frequency of gambling and size of win or loss are taken into account. Alcohol abuse is strongly predictive of gambling pathology, even with gambling behaviors held constant. Minority and low socioeconomic status (SES) group members have higher levels of gambling pathology than other groups after all other factors are considered.
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              Do poorer people have poorer access to local resources and facilities? The distribution of local resources by area deprivation in Glasgow, Scotland☆

              It has commonly been suggested that in modern cities individual or household deprivation (for example, low income or education) is amplified by area level deprivation (for example, lack of jobs or good schools), in ways which damage the health of the poorest and increase health inequalities. The aim of this study was to determine the location of a range of resources and exposures by deprivation in a UK city. We examined the location of 42 resources in Glasgow City, Scotland, in 2005–2006, by quintile of small area deprivation. Measures included number per 1000 population, network distance to nearest resource, and percentage of data zones containing at least one of each type of resource. Twelve resources had higher density in, and/or were closer to or more common in, more deprived neighbourhoods: public nurseries, public primary schools, police stations, pharmacies, credit unions, post offices, bus stops, bingo halls, public swimming pools, public sports centres, outdoor play areas, and vacant and derelict land/buildings. Sixteen had higher density in, and/or were closer to, or more common in, more affluent neighbourhoods: public secondary schools, private schools, banks, building societies, museums/art galleries, railway stations, subway stations, tennis courts, bowling greens, private health clubs, private swimming pools, colleges, A & E hospitals, parks, waste disposal sites, and tourist attractions. Private nurseries, Universities, fire stations, general, dental and ophthalmic practices, pawn brokers, ATMs, supermarkets, fast food chains, cafes, public libraries, golf courses, and cinemas showed no clear pattern by deprivation. Thus it appears that in the early 21st century access to resources does not always disadvantage poorer neighbourhoods in the UK. We conclude that we need to ensure that theories and policies are based on up-to-date and context-specific empirical evidence on the distribution of neighbourhood resources, and to engage in further research on interactions between individual and environmental factors in shaping health and health inequalities.
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                Author and article information

                Contributors
                Journal
                Health Place
                Health Place
                Health & Place
                Elsevier
                1353-8292
                1873-2054
                1 May 2018
                May 2018
                : 51
                : 224-231
                Affiliations
                [a ]MRC/CSO Social and Public Health Sciences, University of Glasgow, Top floor, 200 Renfield Street, Glasgow G2 3QB, United Kingdom
                [b ]Centre for Research on Environment, Society and Health, School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom
                Author notes
                [* ]Corresponding author. laura.macdonald@ 123456glasgow.ac.uk
                Article
                S1353-8292(17)31077-8
                10.1016/j.healthplace.2018.04.008
                5989655
                29747132
                fd830942-14e9-414f-a255-910801fbaf7f
                Crown Copyright © 2018 Published by Elsevier Ltd. All rights reserved.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 20 November 2017
                : 12 March 2018
                : 23 April 2018
                Categories
                Article

                Public health
                cluster analysis,area deprivation,alcohol,fast food,tobacco,gambling
                Public health
                cluster analysis, area deprivation, alcohol, fast food, tobacco, gambling

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