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      Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants

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          Abstract

          Background

          Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which are key risk factors for non-communicable diseases. However, the research evidence is equivocal. Moreover, understanding the double burden of these factors is a matter of public health importance. The purpose of this study was to test associations of neighbourhood fast-food outlet exposure and household income, in relation to frequency of consumption of processed meat and multiple measures of adiposity, and to examine possible interactions.

          Methods

          We employed an observational, cross-sectional study design. In a cohort of 51,361 adults aged 38–72 years in Greater London, UK, we jointly classified participants based on household income (£/year, four groups) and GIS-derived neighbourhood fast-food outlet proportion (counts of fast-food outlets as a percentage of all food outlets, quartiles). Multivariable regression models estimated main effects and interactions (additive and multiplicative) of household income and fast-food outlet proportion on odds of self-reported frequent processed meat consumption (> 1/week), measured BMI (kg/m 2), body fat (%), and odds of obesity (BMI ≥ 30).

          Results

          Income and fast-food proportion were independently, systematically associated with BMI, body fat, obesity and frequent processed meat consumption. Odds of obesity were greater for lowest income participants compared to highest (OR = 1.54, 95% CI: 1.41, 1.69) and for those most-exposed to fast-food outlets compared to least-exposed (OR = 1.51, 95% CI: 1.40, 1.64). In jointly classified models, lowest income and highest fast-food outlet proportion in combination were associated with greater odds of obesity (OR = 2.43, 95% CI: 2.09, 2.84), with relative excess risk due to interaction (RERI = 0.03). Results were similar for frequent processed meat consumption models. There was no evidence of interaction on a multiplicative scale between fast-food outlet proportion and household income on each of BMI ( P = 0.230), obesity ( P = 0.054) and frequent processed meat consumption ( P = 0.725).

          Conclusions

          Our study demonstrated independent associations of neighbourhood fast-food outlet exposure and household income, in relation to diet and multiple objective measures of adiposity, in a large sample of UK adults. Moreover, we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, furthering our understanding of how these factors contribute jointly to social inequalities in health.

          Electronic supplementary material

          The online version of this article (10.1186/s12966-018-0699-8) contains supplementary material, which is available to authorized users.

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          Most cited references46

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          Regional alcohol consumption and alcohol-related mortality in Great Britain: novel insights using retail sales data

          Background Regional differences in population levels of alcohol-related harm exist across Great Britain, but these are not entirely consistent with differences in population levels of alcohol consumption. This incongruence may be due to the use of self-report surveys to estimate consumption. Survey data are subject to various biases and typically produce consumption estimates much lower than those based on objective alcohol sales data. However, sales data have never been used to estimate regional consumption within Great Britain (GB). This ecological study uses alcohol retail sales data to provide novel insights into regional alcohol consumption in GB, and to explore the relationship between alcohol consumption and alcohol-related mortality. Methods Alcohol sales estimates derived from electronic sales, delivery records and retail outlet sampling were obtained. The volume of pure alcohol sold was used to estimate per adult consumption, by market sector and drink type, across eleven GB regions in 2010–11. Alcohol-related mortality rates were calculated for the same regions and a cross-sectional correlation analysis between consumption and mortality was performed. Results Per adult consumption in northern England was above the GB average and characterised by high beer sales. A high level of consumption in South West England was driven by on-trade sales of cider and spirits and off-trade wine sales. Scottish regions had substantially higher spirits sales than elsewhere in GB, particularly through the off-trade. London had the lowest per adult consumption, attributable to lower off-trade sales across most drink types. Alcohol-related mortality was generally higher in regions with higher per adult consumption. The relationship was weakened by the South West and Central Scotland regions, which had the highest consumption levels, but discordantly low and very high alcohol-related mortality rates, respectively. Conclusions This study provides support for the ecological relationship between alcohol-related mortality and alcohol consumption. The synthesis of knowledge from a combination of sales, survey and mortality data, as well as primary research studies, is key to ensuring that regional alcohol consumption, and its relationship with alcohol-related harms, is better understood.
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            Socioeconomic Status and Health: What We Know and What We Don't

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              UK biobank data: come and get it.

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                Author and article information

                Contributors
                +44 (0)1223 769 146 , tb464@medschl.cam.ac.uk
                csarkar@hku.hk
                cwebster@hku.hk
                p.monsivais@wsu.edu
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                24 July 2018
                24 July 2018
                2018
                : 15
                : 71
                Affiliations
                [1 ]ISNI 0000000121885934, GRID grid.5335.0, UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, ; Cambridge Biomedical Campus, Cambridge, CB2 0QQ UK
                [2 ]ISNI 0000000121742757, GRID grid.194645.b, Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong, ; Knowles Building, Pokfulam Road, Hong Kong, Special Administrative Region China
                [3 ]ISNI 0000 0001 2157 6568, GRID grid.30064.31, Present Address: Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, , Washington State University, ; Spokane, Washington USA
                Author information
                http://orcid.org/0000-0001-6936-3801
                Article
                699
                10.1186/s12966-018-0699-8
                6497220
                30041671
                4c2c9b49-d25c-489c-bfaf-534d2578accd
                © The Author(s). 2018, corrected publication August 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 14 September 2017
                : 28 June 2018
                Funding
                Funded by: British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, National Institute for Health Research
                Award ID: ES/G007462/1
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 087636/Z/08/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/L003201/1
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Nutrition & Dietetics
                fast-food outlet exposure,household income,adiposity,processed meat consumption,interaction,uk biobank

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