Literature DB >> 33318134

Does a physical activity supportive environment ameliorate or exacerbate socioeconomic inequities in incident coronary heart disease?

Pedro Gullon1,2, Usama Bilal2,3, Jana A Hirsch2,3, Andrew G Rundle4, Suzanne Judd5, Monika M Safford6, Gina S Lovasi2,3.   

Abstract

BACKGROUND: Efforts to reduce socioeconomic inequities in cardiovascular disease include interventions to change the built environment. We aimed to explore whether socioeconomic inequities in coronary heart disease (CHD) incidence are ameliorated or exacerbated in environments supportive of physical activity (PA).
METHODS: We used data from the Reasons for Geographic and Racial Differences in Stroke study, which recruited US residents aged 45 or older between 2003 and 2007. Our analyses included participants at risk for incident CHD (n=20 808), followed until 31 December 2014. We categorised household income and treated it as ordinal: (1) US$75 000+, (2) US$35 000-US$74 000, (3) US$20 000-US$34 000 and (4) <US$20 000. We operationalised PA-supportive environments using characteristics within a 1 km residential buffer: walkable destinations density, PA facility density and proportion green land cover. We used Cox proportional hazards models to estimate the adjusted association of income with incident CHD, and tested effect modification by PA-supportive environment variables.
RESULTS: We found a 25% (95% CI 1.17% to 1.34%) increased hazard of CHD per 1-category decrease in household income category. Adjusting for PA-supportive environments slightly reduced this association (HR=1.24). The income-CHD association was strongest in areas without walking destinations (HR=1.57), an interaction which reached statistical significance in analyses among men. In contrast, the income-CHD association showed a trend towards being strongest in areas with the highest percentage of green land cover.
CONCLUSIONS: Indicators of a PA supportive environment show divergent trends to modify socioeconomic inequities in CHD . Built environment interventions should measure the effect on socioeconomic inequities. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cardiovascular disease; neighborhood/place; socio-economic

Year:  2020        PMID: 33318134      PMCID: PMC8200362          DOI: 10.1136/jech-2020-215239

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   6.286


  44 in total

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Journal:  J Epidemiol Community Health       Date:  2010-09-14       Impact factor: 3.710

3.  Income-related inequalities in cardiovascular disease from mid-life to old age in a Northern Swedish cohort: A decomposition analysis.

Authors:  Paola A Mosquera; Miguel San Sebastian; Anna-Karin Waenerlund; Anneli Ivarsson; Lars Weinehall; Per E Gustafsson
Journal:  Soc Sci Med       Date:  2015-12-15       Impact factor: 4.634

4.  Global public health: a scorecard.

Authors:  Robert Beaglehole; Ruth Bonita
Journal:  Lancet       Date:  2008-10-20       Impact factor: 79.321

5.  The link between perceived characteristics of neighbourhood green spaces and adults' physical activity in UK cities: analysis of the EURO-URHIS 2 Study.

Authors:  Omer Ali; Francesco Di Nardo; Annie Harrison; Arpana Verma
Journal:  Eur J Public Health       Date:  2017-08-01       Impact factor: 3.367

6.  Can the built environment reduce health inequalities? A study of neighbourhood socioeconomic disadvantage and walking for transport.

Authors:  Gavin Turrell; Michele Haynes; Lee-Ann Wilson; Billie Giles-Corti
Journal:  Health Place       Date:  2012-11-10       Impact factor: 4.078

7.  Physical activity environment measurement and same source bias.

Authors:  Pedro Gullón; Usama Bilal; Manuel Franco
Journal:  Gac Sanit       Date:  2014-02-21       Impact factor: 2.139

8.  A disadvantaged advantage in walkability: findings from socioeconomic and geographical analysis of national built environment data in the United States.

Authors:  Katherine E King; Philippa J Clarke
Journal:  Am J Epidemiol       Date:  2014-11-19       Impact factor: 4.897

9.  Intersection of neighborhood dynamics and socioeconomic status in small-area walkability: the Heart Healthy Hoods project.

Authors:  Pedro Gullón; Usama Bilal; Alba Cebrecos; Hannah M Badland; Iñaki Galán; Manuel Franco
Journal:  Int J Health Geogr       Date:  2017-06-06       Impact factor: 3.918

10.  Deprivation amplification revisited; or, is it always true that poorer places have poorer access to resources for healthy diets and physical activity?

Authors:  Sally Macintyre
Journal:  Int J Behav Nutr Phys Act       Date:  2007-08-07       Impact factor: 6.457

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  1 in total

1.  Exercise facilities and the prevalence of obesity and type 2 diabetes in the city of Madrid.

Authors:  Luis Cereijo; Pedro Gullón; Isabel Del Cura; David Valadés; Usama Bilal; Hannah Badland; Manuel Franco
Journal:  Diabetologia       Date:  2021-10-28       Impact factor: 10.122

  1 in total

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