Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants
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 facto...
Saved in:
Published in | The international journal of behavioral nutrition and physical activity Vol. 15; no. 1; pp. 71 - 12 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
24.07.2018
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | 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.
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
), body fat (%), and odds of obesity (BMI ≥ 30).
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).
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. |
---|---|
AbstractList | 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/m2), 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. 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 ([pounds sterling]/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.sup.2), body fat (%), and odds of obesity (BMI [greater than or equai to] 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. Keywords: Fast-food outlet exposure, Household income, Adiposity, Processed meat consumption, Interaction, UK biobank According to the WHO’s Global Burden of Disease study, dietary risks and high body weight are two of the top three contributors to the number of years suffered with disability and morbidity in the UK [1]. [...]neighbourhood fast-food outlet access was well-characterised, including accounting for fast-food outlets in the context of wider neighbourhood-level food outlet access [53]. [...]our study satisfies a number of Bradford Hill criteria, which are useful for inferring causality – in this case, neighbourhood ‘effects’ - from a cross-sectional study design, including: consistency (across multiple epidemiologic studies in different locations and populations, and perhaps to the greatest extent with studies that also employed a relative measure of fast-food exposure), biological gradient (evidence of dose-response, especially for adiposity models), and plausibility (of a cause-and-effect relationship) [76]. Conclusions Our study demonstrated independent associations between each of income and neighbourhood fast-food exposure, with diet and two objectively measured adiposity outcomes, in a large sample of UK adults. [...]we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, resulting in an additive interaction and an excess and substantially greater likelihood of unhealthy diet and obesity. 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. 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 ), body fat (%), and odds of obesity (BMI ≥ 30). 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). 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. 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.BACKGROUNDHousehold 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.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/m2), body fat (%), and odds of obesity (BMI ≥ 30).METHODSWe 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/m2), body fat (%), and odds of obesity (BMI ≥ 30).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).RESULTSIncome 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).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.CONCLUSIONSOur 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. 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. 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 ([pounds sterling]/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.sup.2), body fat (%), and odds of obesity (BMI [greater than or equai to] 30). 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). 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. |
ArticleNumber | 71 |
Audience | Academic |
Author | Monsivais, Pablo Burgoine, Thomas Webster, Chris J Sarkar, Chinmoy |
Author_xml | – sequence: 1 givenname: Thomas orcidid: 0000-0001-6936-3801 surname: Burgoine fullname: Burgoine, Thomas email: tb464@medschl.cam.ac.uk organization: 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. tb464@medschl.cam.ac.uk – sequence: 2 givenname: Chinmoy surname: Sarkar fullname: Sarkar, Chinmoy organization: Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong, Special Administrative Region, China – sequence: 3 givenname: Chris J surname: Webster fullname: Webster, Chris J organization: Healthy High Density Cities Lab, HKUrbanLab, University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong, Special Administrative Region, China – sequence: 4 givenname: Pablo surname: Monsivais fullname: Monsivais, Pablo organization: Present Address: Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30041671$$D View this record in MEDLINE/PubMed |
BookMark | eNptkk1rFTEUhgdR7If-ADcScKPg1HzPxIVQS9ViQVC7Dpnk5Db1TnKdZEq79o-b21trr0gWCSfPec8H717zMKYITfOM4ANCevkmE6qkbDHpWyyVavsHzS7hnWpFL_uH9947zV7OFxgz0mPxuNlhGHMiO7Lb_Dq-MmOIIS5QOQcUYoHJ2BJSRMkjb3JpfUoOpbksoSC4WqU8T4BMdBW2aQRUURfq3zqUBsihXL9FcBkcRAvIT2lEgrxmkqCzz-h9SIOJP9DKTCXYsDKx5CfNI2-WGZ7e3vvN2Yfj70ef2tMvH0-ODk9bKxQvLfMcSy649JLhOr_wlEnFlGc9cIpZTyiYoePAnXVOOkOpHxiTVAFWssL7zclG1yVzoVdTGM10rZMJ-iaQpoW-6WoJ2vCut4zSKjPwzotBUMKdssI4hUGxqvVuo7WahxGchVgms9wS3f6J4Vwv0qWWXHW0drvfvLwVmNLPGXLRY8gWlksTIc1ZU9xJygSV61ov_kEv0jzFuqpKKVxX0gnyl1qYOkCIPtW6di2qD4XAsq9WUZU6-A9Vj4Mx2GovH2p8K-HVVkJlClyVhZlz1iffvm6zZMPaKeU8gb_bB8F67Vi9cayujtVrx-q-5jy_v8i7jD8WZb8BSWnltQ |
CitedBy_id | crossref_primary_10_1136_bmj_k4864 crossref_primary_10_1016_j_envint_2022_107286 crossref_primary_10_1161_CIRCHEARTFAILURE_123_010830 crossref_primary_10_5304_jafscd_2021_111_009 crossref_primary_10_1007_s13668_021_00381_1 crossref_primary_10_1186_s12937_021_00713_5 crossref_primary_10_1186_s12889_022_14266_7 crossref_primary_10_1136_bmjopen_2021_049267 crossref_primary_10_1016_j_ehb_2022_101153 crossref_primary_10_1136_bmj_n2293 crossref_primary_10_1186_s12966_020_00967_y crossref_primary_10_1007_s41651_023_00142_4 crossref_primary_10_1136_bjsports_2020_103604 crossref_primary_10_1002_oby_22614 crossref_primary_10_1186_s12889_024_19259_2 crossref_primary_10_3390_nu12010015 crossref_primary_10_1002_osp4_579 crossref_primary_10_1016_j_jth_2023_101707 crossref_primary_10_1016_j_ssmph_2019_100404 crossref_primary_10_1016_j_diabres_2020_108475 crossref_primary_10_4103_aihb_aihb_42_21 crossref_primary_10_1111_1753_6405_13230 crossref_primary_10_1186_s12942_021_00269_x crossref_primary_10_1080_13504851_2024_2313556 crossref_primary_10_1111_obr_13398 crossref_primary_10_1371_journal_pone_0282502 crossref_primary_10_1016_j_healthplace_2021_102648 crossref_primary_10_1186_s12889_021_10763_3 crossref_primary_10_1136_bmj_2021_069848 crossref_primary_10_1186_s12889_022_12650_x crossref_primary_10_3390_ijerph20095718 crossref_primary_10_1016_S2468_2667_21_00230_9 crossref_primary_10_1186_s12942_023_00345_4 crossref_primary_10_1186_s12889_022_13826_1 crossref_primary_10_1080_23748834_2022_2078072 crossref_primary_10_1002_osp4_563 crossref_primary_10_1017_S1368980020002104 crossref_primary_10_1111_nbu_12410 crossref_primary_10_3390_foods10010056 crossref_primary_10_3390_nu12082235 crossref_primary_10_1093_pubmed_fdab138 crossref_primary_10_1016_j_sdentj_2024_02_021 crossref_primary_10_1093_ajcn_nqac078 crossref_primary_10_1111_1753_6405_13227 crossref_primary_10_1017_S0029665123004871 crossref_primary_10_1136_bmjopen_2021_057989 crossref_primary_10_3390_nu11030579 crossref_primary_10_1017_S1368980020004280 crossref_primary_10_3390_nu13092927 crossref_primary_10_3390_nu15143149 crossref_primary_10_1016_j_foodpol_2021_102215 crossref_primary_10_1016_j_healthplace_2023_103146 crossref_primary_10_1016_j_apgeog_2021_102620 crossref_primary_10_1210_endrev_bnac005 crossref_primary_10_1080_13549839_2021_2001797 crossref_primary_10_3390_nu14193954 crossref_primary_10_1016_j_appet_2019_05_031 crossref_primary_10_1177_1757913919865138 crossref_primary_10_1016_j_ajcnut_2022_12_006 crossref_primary_10_3390_nu15214503 crossref_primary_10_3389_fpubh_2024_1275167 crossref_primary_10_1016_j_obmed_2019_100167 crossref_primary_10_1186_s12966_018_0713_1 crossref_primary_10_1016_j_jth_2021_101122 crossref_primary_10_1016_j_socscimed_2019_112528 crossref_primary_10_1080_24694452_2022_2134088 crossref_primary_10_1177_0272684X211006607 crossref_primary_10_1016_j_amepre_2023_04_005 crossref_primary_10_1371_journal_pone_0280223 crossref_primary_10_3390_nu13093009 crossref_primary_10_1016_j_healthplace_2022_102887 crossref_primary_10_1186_s12966_020_01019_1 crossref_primary_10_1016_j_yhbeh_2021_105013 crossref_primary_10_1136_bmjopen_2021_060214 crossref_primary_10_1080_23748834_2024_2337488 crossref_primary_10_1136_bmjnph_2020_000107 crossref_primary_10_1016_j_healthplace_2023_103078 crossref_primary_10_1177_0379572120945904 crossref_primary_10_4103_aihb_aihb_59_24 crossref_primary_10_1186_s12966_022_01315_y |
Cites_doi | 10.1016/S2468-2667(17)30237-2 10.1093/her/15.2.163 10.1177/003591576505800503 10.3945/ajcn.115.128132 10.1002/oby.21118 10.3390/ijerph14111290 10.1016/j.healthplace.2010.06.016 10.1093/oxfordjournals.aje.a113015 10.1136/bmjopen-2015-010155 10.2105/AJPH.2012.301140 10.1016/j.amepre.2013.08.015 10.1161/CIRCULATIONAHA.109.924977 10.1016/j.healthplace.2017.10.004 10.1093/ije/dyr218 10.1007/s10654-005-7835-x 10.1186/1479-5868-10-85 10.3945/ajcn.117.161547 10.1093/ajcn/85.1.201 10.1186/s12966-014-0159-z 10.1108/NFS-08-2013-0093 10.1016/j.healthplace.2017.10.003 10.17269/cjph.107.5312 10.1111/j.1749-6632.1999.tb08101.x 10.1136/bmj.g1464 10.1016/j.ypmed.2015.11.008 10.1192/bjp.bp.110.081331 10.1177/0013916517749876 10.1016/j.healthplace.2011.05.001 10.1016/j.ypmed.2014.11.023 10.1038/nutd.2015.18 10.1017/S1368980018000812 10.1186/1471-2458-15-1 10.1080/19475683.2015.1027791 10.1111/j.1753-4887.2009.00157.x 10.1016/j.healthplace.2013.09.015 10.1093/ajcn/79.1.6 10.1016/S2468-2667(17)30212-8 10.1093/ije/30.suppl_1.S48 10.1016/j.appet.2013.12.007 10.1016/j.appet.2015.05.022 10.1017/S1368980010000753 10.1093/epirev/mxm001 10.1111/j.1753-4887.2008.00026.x 10.1001/jama.2017.0947 10.1186/s12942-017-0106-8 10.1007/s11524-012-9722-6 10.1016/j.healthplace.2015.02.012 10.1177/0002764213487345 10.1016/S1470-2045(15)00444-1 10.1038/ejcn.2011.202 10.1016/S0140-6736(15)00195-6 10.1016/j.healthplace.2015.09.003 10.1126/scitranslmed.3008601 10.1016/S0140-6736(04)17663-0 10.1136/bmj.c2289 10.1016/j.ypmed.2016.04.012 10.1136/jech-2013-202354 10.1186/1479-5868-1187-1134 10.1016/j.amepre.2017.06.003 10.1136/jech.2005.036491 10.1016/j.ypmed.2017.11.024 10.1186/s12942-016-0060-x |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 BioMed Central Ltd. Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. The Author(s). 2018, corrected publication August 2018 |
Copyright_xml | – notice: COPYRIGHT 2018 BioMed Central Ltd. – notice: Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s). 2018, corrected publication August 2018 |
DBID | CGR CUY CVF ECM EIF NPM AAYXX CITATION ISR 3V. 7RQ 7RV 7TS 7X7 7XB 88E 8C1 8FI 8FJ 8FK 8G5 ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH GNUQQ GUQSH K9. KB0 M0S M1P M2O MBDVC NAPCQ PIMPY PQEST PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
DOI | 10.1186/s12966-018-0699-8 |
DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed CrossRef Gale In Context: Science ProQuest Central (Corporate) Career & Technical Education Database ProQuest Nursing & Allied Health Database Physical Education Index ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Public Health Database Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni Edition) ProQuest Central (Alumni) ProQuest Central ProQuest Central Essentials AUTh Library subscriptions: ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Research Library Prep ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Database (Alumni Edition) Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Research Library Research Library (Corporate) Nursing & Allied Health Premium Publicly Available Content Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) CrossRef Publicly Available Content Database Research Library Prep ProQuest Central Student ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College Research Library (Alumni Edition) ProQuest Central China Physical Education Index ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea ProQuest Research Library ProQuest Medical Library (Alumni) ProQuest Public Health ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Nursing & Allied Health Source ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) Nursing & Allied Health Premium ProQuest Career and Technical Education ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest Nursing & Allied Health Source (Alumni) ProQuest One Academic ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: BENPR name: AUTh Library subscriptions: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Diet & Clinical Nutrition Public Health |
EISSN | 1479-5868 |
EndPage | 12 |
ExternalDocumentID | oai_doaj_org_article_a478c322d6db47f5b5214d9c5ad90e93 A550689669 10_1186_s12966_018_0699_8 30041671 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GeographicLocations | London United Kingdom United Kingdom--UK |
GeographicLocations_xml | – name: London – name: United Kingdom – name: United Kingdom--UK |
GrantInformation_xml | – fundername: Wellcome Trust – fundername: Cancer Research UK – fundername: Wellcome Trust grantid: 087636/Z/08/Z – fundername: Medical Research Council grantid: MC_PC_17228 – fundername: Medical Research Council grantid: MR/K023187/1 – fundername: British Heart Foundation – fundername: Medical Research Council grantid: MC_QA137853 – fundername: ; grantid: 087636/Z/08/Z – fundername: ; grantid: ES/G007462/1 – fundername: ; grantid: ES/L003201/1 |
GroupedDBID | --- -A0 0R~ 29J 2WC 3V. 53G 5GY 5VS 7RQ 7RV 7X7 88E 8C1 8FI 8FJ 8G5 A8Z AAFWJ AAHBH AAJSJ AAWTL ABDBF ABIVO ABUWG ACGFO ACGFS ACRMQ ADBBV ADINQ ADRAZ ADUKV AENEX AFKRA AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS AZQEC BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C24 C6C CCPQU CGR CS3 CUY CVF DIK DU5 DWQXO E3Z EBD EBLON EBS ECGQY ECM EIF EJD ESTFP ESX F5P FYUFA GNUQQ GROUPED_DOAJ GUQSH GX1 H13 HMCUK HYE IAO ICU IHR INH INR IPT IPY ISR ITC KQ8 M1P M2O M48 M~E NAPCQ NPM O5R O5S OK1 P2P PGMZT PIMPY PQQKQ PROAC PSQYO RBZ RNS ROL RPM RSV SCM SOJ TR2 TUS UKHRP WOQ WOW XSB ~8M AAYXX AFPKN CITATION AFGXO ABVAZ AFNRJ 7TS 7XB 8FK K9. MBDVC PQEST PQUKI PRINS Q9U 7X8 5PM |
ID | FETCH-LOGICAL-c594t-3f4064546f6301185f236939f38e4203812eab74e4dcdd6da22fb33629e096f23 |
IEDL.DBID | RPM |
ISSN | 1479-5868 |
IngestDate | Tue Oct 22 14:40:09 EDT 2024 Tue Sep 17 21:17:15 EDT 2024 Sat Aug 17 04:32:44 EDT 2024 Thu Oct 10 17:18:55 EDT 2024 Fri Feb 23 00:15:02 EST 2024 Fri Feb 02 04:18:54 EST 2024 Thu Aug 01 20:04:49 EDT 2024 Thu Sep 12 17:09:27 EDT 2024 Wed Oct 23 10:02:12 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Adiposity Household income UK biobank Interaction Fast-food outlet exposure Processed meat consumption |
Language | English |
License | 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. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c594t-3f4064546f6301185f236939f38e4203812eab74e4dcdd6da22fb33629e096f23 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0001-6936-3801 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497220/ |
PMID | 30041671 |
PQID | 2090454751 |
PQPubID | 42779 |
PageCount | 12 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_a478c322d6db47f5b5214d9c5ad90e93 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6497220 proquest_miscellaneous_2076235263 proquest_journals_2090454751 gale_infotracmisc_A550689669 gale_infotracacademiconefile_A550689669 gale_incontextgauss_ISR_A550689669 crossref_primary_10_1186_s12966_018_0699_8 pubmed_primary_30041671 |
PublicationCentury | 2000 |
PublicationDate | 2018-07-24 |
PublicationDateYYYYMMDD | 2018-07-24 |
PublicationDate_xml | – month: 07 year: 2018 text: 2018-07-24 day: 24 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | The international journal of behavioral nutrition and physical activity |
PublicationTitleAlternate | Int J Behav Nutr Phys Act |
PublicationYear | 2018 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | 30253763 - Int J Behav Nutr Phys Act. 2018 Sep 25;15(1):93 C Sarkar (699_CR44) 2015; 21 A Bradford Hill (699_CR76) 1965; 58 KS Kendler (699_CR59) 2010; 197 Greater London Authority (699_CR67) 2012 KA Bernsdorf (699_CR51) 2017; 48 SI Kirkpatrick (699_CR74) 2014; 46 JY Polsky (699_CR24) 2016; 107 PB Ford (699_CR65) 2008; 66 Susanna Mills (699_CR7) 2018; 21 M Rayner (699_CR2) 2005; 59 J Adams (699_CR48) 2015; 12 T Burgoine (699_CR39) 2016; 103 ER Maguire (699_CR26) 2017; 16 SA Matthews (699_CR69) 2013; 57 699_CR41 NE Allen (699_CR43) 2014; 6 J Adams (699_CR63) 2016; 13 A Moody (699_CR9) 2016; 6 699_CR42 NE Adler (699_CR75) 1999; 896 CM Clary (699_CR27) 2015; 71 699_CR45 T Andersson (699_CR50) 2005; 20 A Drewnowski (699_CR61) 2009; 67 R McGill (699_CR64) 2015; 15 699_CR47 J Jiao (699_CR55) 2015; 5 699_CR46 J. A. Hutcheon (699_CR73) 2010; 340 KL Barton (699_CR14) 2015; 16 MA Pereira (699_CR35) 2005; 365 LK Cobb (699_CR18) 2015; 23 C Black (699_CR19) 2013; 27 T Burgoine (699_CR23) 2017; 14 A Jaworowska (699_CR32) 2014; 44 R Micha (699_CR4) 2017; 317 Thomas Burgoine (699_CR72) 2013; 10 H Charreire (699_CR57) 2010; 13 JY Polsky (699_CR25) 2016; 82 KE Mason (699_CR52) 2018; 3 JN Newton (699_CR1) 2015; 386 Rachel Pechey (699_CR15) 2016; 88 H Luan (699_CR21) 2016; 15 KJ Duffey (699_CR33) 2007; 85 A Drewnowski (699_CR40) 2004; 79 JH Stark (699_CR28) 2013; 67 ER Maguire (699_CR38) 2015; 33 A Jones (699_CR17) 2007 RS Cooper (699_CR10) 2001; 30 MJ Knol (699_CR49) 2012; 41 699_CR62 Y Kestens (699_CR70) 2010; 16 K Parmenter (699_CR12) 2000; 15 699_CR66 699_CR68 KJ Smith (699_CR34) 2012; 66 SN Zenk (699_CR71) 2011; 17 K Miura (699_CR37) 2014; 74 T Penney (699_CR36) 2017; 53 P Monsivais (699_CR53) 2018; 3 R Micha (699_CR3) 2010; 121 X Feng (699_CR30) 2018; 49 S Cummins (699_CR22) 2017; 106 T Burgoine (699_CR31) 2014; 348 L McLaren (699_CR8) 2007; 29 AS Richardson (699_CR20) 2015; 36 J Adams (699_CR13) 2015; 92 699_CR54 699_CR56 R Micha (699_CR5) 2011; 121 G Mercille (699_CR29) 2012; 90 699_CR16 KJ Rothman (699_CR60) 1980; 112 V Bouvard (699_CR6) 2015; 16 T Lang (699_CR11) 1999 LR Reitzel (699_CR58) 2014; 104 |
References_xml | – ident: 699_CR47 – volume: 3 start-page: 4 year: 2018 ident: 699_CR53 publication-title: Lancet Public Health doi: 10.1016/S2468-2667(17)30237-2 contributor: fullname: P Monsivais – volume: 15 start-page: 163 year: 2000 ident: 699_CR12 publication-title: Health Educ Res doi: 10.1093/her/15.2.163 contributor: fullname: K Parmenter – volume: 58 start-page: 295 year: 1965 ident: 699_CR76 publication-title: Proc Royal Soc Med doi: 10.1177/003591576505800503 contributor: fullname: A Bradford Hill – volume: 103 start-page: 1 year: 2016 ident: 699_CR39 publication-title: Am J Clin Nutr doi: 10.3945/ajcn.115.128132 contributor: fullname: T Burgoine – volume: 23 start-page: 1331 year: 2015 ident: 699_CR18 publication-title: Obesity doi: 10.1002/oby.21118 contributor: fullname: LK Cobb – volume: 14 start-page: 1 year: 2017 ident: 699_CR23 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph14111290 contributor: fullname: T Burgoine – volume: 16 start-page: 1094 year: 2010 ident: 699_CR70 publication-title: Health Place doi: 10.1016/j.healthplace.2010.06.016 contributor: fullname: Y Kestens – volume: 112 start-page: 467 year: 1980 ident: 699_CR60 publication-title: Am J Epidemiol doi: 10.1093/oxfordjournals.aje.a113015 contributor: fullname: KJ Rothman – ident: 699_CR62 – volume: 6 start-page: 1 year: 2016 ident: 699_CR9 publication-title: BMJ Open doi: 10.1136/bmjopen-2015-010155 contributor: fullname: A Moody – volume: 104 start-page: 110 year: 2014 ident: 699_CR58 publication-title: Am J Public Health doi: 10.2105/AJPH.2012.301140 contributor: fullname: LR Reitzel – ident: 699_CR66 – volume: 46 start-page: 94 year: 2014 ident: 699_CR74 publication-title: Am J Prev Med doi: 10.1016/j.amepre.2013.08.015 contributor: fullname: SI Kirkpatrick – volume: 121 start-page: 2271 year: 2011 ident: 699_CR5 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.109.924977 contributor: fullname: R Micha – ident: 699_CR46 – volume: 49 start-page: 101 year: 2018 ident: 699_CR30 publication-title: Health Place doi: 10.1016/j.healthplace.2017.10.004 contributor: fullname: X Feng – volume: 41 start-page: 514 year: 2012 ident: 699_CR49 publication-title: Int J Epidemiol doi: 10.1093/ije/dyr218 contributor: fullname: MJ Knol – volume: 20 start-page: 575 year: 2005 ident: 699_CR50 publication-title: Eur J Epidemiol doi: 10.1007/s10654-005-7835-x contributor: fullname: T Andersson – volume: 10 start-page: 85 issue: 1 year: 2013 ident: 699_CR72 publication-title: International Journal of Behavioral Nutrition and Physical Activity doi: 10.1186/1479-5868-10-85 contributor: fullname: Thomas Burgoine – volume-title: Book cooking skills and health year: 1999 ident: 699_CR11 contributor: fullname: T Lang – volume: 106 start-page: 445 year: 2017 ident: 699_CR22 publication-title: Am J Clin Nutr doi: 10.3945/ajcn.117.161547 contributor: fullname: S Cummins – ident: 699_CR42 – volume: 85 start-page: 201 year: 2007 ident: 699_CR33 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/85.1.201 contributor: fullname: KJ Duffey – volume: 12 start-page: 1 year: 2015 ident: 699_CR48 publication-title: Int J Behav Nutr Phys Activ doi: 10.1186/s12966-014-0159-z contributor: fullname: J Adams – volume: 44 start-page: 414 year: 2014 ident: 699_CR32 publication-title: Nutr Food Sci doi: 10.1108/NFS-08-2013-0093 contributor: fullname: A Jaworowska – volume: 48 start-page: 102 year: 2017 ident: 699_CR51 publication-title: Health Place doi: 10.1016/j.healthplace.2017.10.003 contributor: fullname: KA Bernsdorf – volume: 107 start-page: 27 year: 2016 ident: 699_CR24 publication-title: Canadian Journal of Public Health doi: 10.17269/cjph.107.5312 contributor: fullname: JY Polsky – volume: 896 start-page: 3 year: 1999 ident: 699_CR75 publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.1999.tb08101.x contributor: fullname: NE Adler – volume: 348 start-page: 1 year: 2014 ident: 699_CR31 publication-title: BMJ doi: 10.1136/bmj.g1464 contributor: fullname: T Burgoine – volume: 82 start-page: 28 year: 2016 ident: 699_CR25 publication-title: Prev Med doi: 10.1016/j.ypmed.2015.11.008 contributor: fullname: JY Polsky – volume: 197 start-page: 170 year: 2010 ident: 699_CR59 publication-title: Br J Psychiatry doi: 10.1192/bjp.bp.110.081331 contributor: fullname: KS Kendler – ident: 699_CR54 doi: 10.1177/0013916517749876 – volume: 17 start-page: 1150 year: 2011 ident: 699_CR71 publication-title: Health Place doi: 10.1016/j.healthplace.2011.05.001 contributor: fullname: SN Zenk – volume: 16 start-page: 1 year: 2015 ident: 699_CR14 publication-title: Public Health Nutr contributor: fullname: KL Barton – volume: 71 start-page: 83 year: 2015 ident: 699_CR27 publication-title: Prev Med doi: 10.1016/j.ypmed.2014.11.023 contributor: fullname: CM Clary – volume: 5 start-page: 1 year: 2015 ident: 699_CR55 publication-title: Nutr Diabetes doi: 10.1038/nutd.2015.18 contributor: fullname: J Jiao – volume: 21 start-page: 2255 issue: 12 year: 2018 ident: 699_CR7 publication-title: Public Health Nutrition doi: 10.1017/S1368980018000812 contributor: fullname: Susanna Mills – ident: 699_CR68 – volume: 15 start-page: 1 year: 2015 ident: 699_CR64 publication-title: BMC Public Health doi: 10.1186/1471-2458-15-1 contributor: fullname: R McGill – ident: 699_CR41 – volume: 21 start-page: 135 year: 2015 ident: 699_CR44 publication-title: Ann GIS doi: 10.1080/19475683.2015.1027791 contributor: fullname: C Sarkar – volume: 67 start-page: S36 year: 2009 ident: 699_CR61 publication-title: Nutr Rev doi: 10.1111/j.1753-4887.2009.00157.x contributor: fullname: A Drewnowski – volume: 27 start-page: 229 year: 2013 ident: 699_CR19 publication-title: Health Place doi: 10.1016/j.healthplace.2013.09.015 contributor: fullname: C Black – volume: 79 start-page: 6 year: 2004 ident: 699_CR40 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/79.1.6 contributor: fullname: A Drewnowski – volume: 3 start-page: 24 year: 2018 ident: 699_CR52 publication-title: Lancet Public Health doi: 10.1016/S2468-2667(17)30212-8 contributor: fullname: KE Mason – volume: 30 start-page: 48 year: 2001 ident: 699_CR10 publication-title: Int J Epidemiol doi: 10.1093/ije/30.suppl_1.S48 contributor: fullname: RS Cooper – volume: 74 start-page: 116 year: 2014 ident: 699_CR37 publication-title: Appetite doi: 10.1016/j.appet.2013.12.007 contributor: fullname: K Miura – volume: 13 start-page: 1 year: 2016 ident: 699_CR63 publication-title: PLOS One contributor: fullname: J Adams – volume: 92 start-page: 185 year: 2015 ident: 699_CR13 publication-title: Appetite doi: 10.1016/j.appet.2015.05.022 contributor: fullname: J Adams – volume-title: Book takeaways toolkit: tools, interventions and case studies to help local authorities develop a response to the health impacts of fast food takeaways year: 2012 ident: 699_CR67 contributor: fullname: Greater London Authority – volume: 13 start-page: 1773 year: 2010 ident: 699_CR57 publication-title: Public Health Nutr doi: 10.1017/S1368980010000753 contributor: fullname: H Charreire – volume: 29 start-page: 29 year: 2007 ident: 699_CR8 publication-title: Epidemiol Rev doi: 10.1093/epirev/mxm001 contributor: fullname: L McLaren – volume: 66 start-page: 216 year: 2008 ident: 699_CR65 publication-title: Nutr Rev doi: 10.1111/j.1753-4887.2008.00026.x contributor: fullname: PB Ford – volume: 317 start-page: 912 year: 2017 ident: 699_CR4 publication-title: JAMA doi: 10.1001/jama.2017.0947 contributor: fullname: R Micha – ident: 699_CR16 – volume-title: Book obesogenic environments: evidence review. Foresight tackling obesities: future choices project long science review year: 2007 ident: 699_CR17 contributor: fullname: A Jones – volume: 16 start-page: 1 year: 2017 ident: 699_CR26 publication-title: Int J Health Geographics doi: 10.1186/s12942-017-0106-8 contributor: fullname: ER Maguire – volume: 90 start-page: 240 year: 2012 ident: 699_CR29 publication-title: J Urban Health doi: 10.1007/s11524-012-9722-6 contributor: fullname: G Mercille – volume: 121 start-page: 1 year: 2010 ident: 699_CR3 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.109.924977 contributor: fullname: R Micha – volume: 33 start-page: 142 year: 2015 ident: 699_CR38 publication-title: Health Place doi: 10.1016/j.healthplace.2015.02.012 contributor: fullname: ER Maguire – volume: 57 start-page: 1057 year: 2013 ident: 699_CR69 publication-title: Am Behav Sci doi: 10.1177/0002764213487345 contributor: fullname: SA Matthews – volume: 16 start-page: 1599 year: 2015 ident: 699_CR6 publication-title: Lancet Oncol doi: 10.1016/S1470-2045(15)00444-1 contributor: fullname: V Bouvard – volume: 66 start-page: 577 year: 2012 ident: 699_CR34 publication-title: Eur J Clin Nutr doi: 10.1038/ejcn.2011.202 contributor: fullname: KJ Smith – volume: 386 start-page: 2257 year: 2015 ident: 699_CR1 publication-title: Lancet doi: 10.1016/S0140-6736(15)00195-6 contributor: fullname: JN Newton – volume: 36 start-page: 74 year: 2015 ident: 699_CR20 publication-title: Health Place doi: 10.1016/j.healthplace.2015.09.003 contributor: fullname: AS Richardson – volume: 6 start-page: 1 year: 2014 ident: 699_CR43 publication-title: Sci Transl Med doi: 10.1126/scitranslmed.3008601 contributor: fullname: NE Allen – volume: 365 start-page: 36 year: 2005 ident: 699_CR35 publication-title: Lancet doi: 10.1016/S0140-6736(04)17663-0 contributor: fullname: MA Pereira – volume: 340 start-page: c2289 issue: jun23 2 year: 2010 ident: 699_CR73 publication-title: BMJ doi: 10.1136/bmj.c2289 contributor: fullname: J. A. Hutcheon – volume: 88 start-page: 203 year: 2016 ident: 699_CR15 publication-title: Preventive Medicine doi: 10.1016/j.ypmed.2016.04.012 contributor: fullname: Rachel Pechey – volume: 67 start-page: 736 year: 2013 ident: 699_CR28 publication-title: J Epidemiol Community Health doi: 10.1136/jech-2013-202354 contributor: fullname: JH Stark – ident: 699_CR45 doi: 10.1186/1479-5868-1187-1134 – volume: 53 start-page: 155 year: 2017 ident: 699_CR36 publication-title: Am J Prev Med doi: 10.1016/j.amepre.2017.06.003 contributor: fullname: T Penney – volume: 59 start-page: 1054 year: 2005 ident: 699_CR2 publication-title: J Epidemiol Community Health doi: 10.1136/jech.2005.036491 contributor: fullname: M Rayner – ident: 699_CR56 doi: 10.1016/j.ypmed.2017.11.024 – volume: 15 start-page: 1 year: 2016 ident: 699_CR21 publication-title: Int J Health Geogr doi: 10.1186/s12942-016-0060-x contributor: fullname: H Luan |
SSID | ssj0031805 |
Score | 2.5784378 |
Snippet | 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... Background Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which... According to the WHO’s Global Burden of Disease study, dietary risks and high body weight are two of the top three contributors to the number of years suffered... Abstract Background Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body... |
SourceID | doaj pubmedcentral proquest gale crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 71 |
SubjectTerms | Adipose Tissue Adiposity Biological Specimen Banks Body fat Body Mass Index Body Weight Cardiovascular disease Cohort Studies Consumption Convenience foods Cross-Sectional Studies Diabetes Diet Economic aspects Environment Family income Fast food industry Fast Foods Fast-food outlet exposure Feeding Behavior Female Food habits Health aspects Health care Health risk assessment Household income Households Humans Income Interaction London Low income groups Male Meat Meat Products - adverse effects Medical research Middle Aged Nutrition research Obesity Obesity - economics Obesity - etiology Odds Ratio Poverty Processed meat consumption Public health Public health administration Residence Characteristics Restaurants Retail stores Risk factors Socioeconomic factors Systematic review UK biobank |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pj9UgECZmT16Mv62uBo3RxNhsS4GCt13dzapxD-pL9kZogfVFt33Z9iV79x93BvpeXuPBi1cYAuUbGKYM3xDysnCa1dLrXFoect6Cw6pZEXLXeFtI51SIjuKXM3m64J_OxflOqi-MCUv0wGniDiyvVQtah4mPeB1EA_aGO90K63ThdeL5LMXGmUp7MChqIaY7zFLJgwGsmkTPWeWF1DpXMysUyfr_3pJ3bNI8XnLHAJ3cJremkyM9TCO-Q2747i7JPiz9SF_Rid7zFz3bsOvfI7-Pr-1lzP9A4ZRHkRjiKj1joH2gwQ5jHvre0RgTNFJ_verxdyG1naPI2XDpKYg67ACL-pRC4B31UyJSik9TqCjfVrKki8_0aAl7Q_eTruwUqt2Nw32yODn-_v40n3Iu5K3QfMyrwJHBjssgcekrEVgldaVDpTxneK3IvG1q7rlrMRmVZSw0FVhB7cEZAuEHZK_rO_-IUKWstq4qW2Yl1w0gZ0WNBHMCvHnoJyNvNhiYVaLWMNElUdIkwAwAZhAwozJyhChtBZEVOxaArphJV8y_dCUjLxBjg3PYYWDNhV0Pg_n47as5BE9NKuhTZ-T1JBR6QLu10zsF-CikyppJ7s8kYWG28-qNKplpYxgMKzSSHtaizMjzbTW2xGC3zvdrlAELhXkLYMAPk-ZtvzsSpMkaWtcznZxNzLymW_6ItOEAQs1Y8fh_zOQTcpPF1VTnjO-TvfFq7Z_C6WxsnsWF-Ac83TYi priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Public Health Database dbid: 8C1 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Nb9QwELWgXJAQgvIVKMggBBIiInFsx-aC2tKqgOgBWKk3y4ntsmqbLJus1Dt_nJnEuzRC4hpP5MQznvHY4_cIeZk5zUrpdSotDymvIWHVLAupq7zNpHMqDIni12N5NOOfT8RJ3HDrYlnl2icOjtq1Ne6RQ5KuES2uFPmHxa8UWaPwdDVSaFwnN3IwTKRuUPubEg8w10zEk8xcyXcdxDaJ-bNKM6l1qiaxaIDs_9cxX4lM06rJK2Ho8A65HdePdHdU-F1yzTfbJPk49z19RSPI5zk9XmPsb5Nb48YcHe8b3SO_Dy7txcAKQWHtRxEuYjlebqBtoMF2fRra1tGhUqin_nLR4iYitY2jiORw4SmIOuwQH7UjscB76iM9KcULK1TkbwuZ09kXujcHj9Gc0YWNBdxN390ns8ODH_tHaWRiSGuheZ8WgSOuHZdBokNQIrBC6kKHQnnO8LCReVuV3HNXI0WVZSxUBcRG7SFFAuEHZKtpG_-IUKWstq7Ia2Yl15WohBUlws4JyPGhn4S8WevELEbADTMkKkqaUYEGFGhQgUYlZA-1thFErOzhQbs8NXHqGctLVYPfQuosXgbokeXc6VpYpzOvi4S8QJ0bHMMGy21O7arrzKfv38wu5G9SQZ86Ia-jUGhB-7WNtxfgpxBAayK5M5GE6VpPm9emZaK76Mxf407I800zvoklcI1vVygDcQvZDOCDH46WuPnvATZNlvB2ObHRycBMW5r5zwFMHJRQMpY9_v9nPSE32TBvypTxHbLVL1f-KazG-urZMOX-AOUBMjE priority: 102 providerName: ProQuest – databaseName: Scholars Portal Journals: Open Access(OpenAccess) dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVKuXBBfBMoyCAEEiKQdWzHRkKohVYF1B6AlXqznNguK9pk2WSl5cwfZ8bJrhrRI9d4LCeeGY8nHr9HyLPMaVZIr1NpeUh5BQmrZllIXeltJp1TISaKR8fycMo_n4iTLbKmtxomsL00tUM-qeni7PXq1-_34PDvosMr-aaFmCUxL1ZpJrVO1RVylfGco8Ef8c2hAlhvJoaDzUu7jUJTRPD_d52-EKjGRZQXotLBDXJ92E7S3V7_N8mWr2-R5OPMd_Q5HTA_z-jxGnL_Nvmzv7LnkRSCwtaPIlrEor_bQJtAg227NDSNo7FQqKN-NW_wHyK1taMI5HDuKYg6HAAfNT2vwFvqB3ZSivdVqJi8yuWETr_QvRksGPVPOrdD_XbdtXfI9GD_-4fDdCBiSCuheZfmgSOsHZdB4nqgRGC51LkOufKc4Vkj87YsuOeuQoYqy1gocwiN2kOGBMJ3yXbd1P4-oUpZbV0-qZiVXJeiFFYUiDonIMWHcRLycq0DM-_xNkzMU5Q0vcIMKMygwoxKyB5qaSOIUNnxQbM4NYPnGcsLVcGyhcxZvAgwIptwpythnc68zhPyFHVscA5rrLY5tcu2NZ--fTW7kL5JBWPqhLwYhEID2q7scHkBPgrxs0aSOyNJ8NZq3Lw2JbM2dsMyjUiIhZgk5MmmGXtiBVztmyXKQNhCMgN44Xu95W2-O6KmyQJ6FyObHE3MuKWe_YhY4qCEgrHswf-YyYfkGoveVKSM75DtbrH0j2DL1pWPoyP-Be1OPag priority: 102 providerName: Scholars Portal |
Title | Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants |
URI | https://www.ncbi.nlm.nih.gov/pubmed/30041671 https://www.proquest.com/docview/2090454751 https://www.proquest.com/docview/2076235263/abstract/ https://pubmed.ncbi.nlm.nih.gov/PMC6497220 https://doaj.org/article/a478c322d6db47f5b5214d9c5ad90e93 |
Volume | 15 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELbacuGCeBMoK4MQSIh0E8dxbG7b0qoU7apqWWlvlpPYZUU3We2mUu_8cWacpGrEjUsixRP5MS9PMv6GkA9RqVgmrAqF4S7kBQSsikUuLHNrIlGW0vlAcToTp3N-tkgXOyTtz8L4pP0iXx5U16uDavnL51auV8W4zxMbn0-PBFcZY9F4l-xmSdKH6K35BRmN0u73ZSzFeAsOTWDQLMNIKBVigT6PMiWyeOCLPGT_v4b5nmcaZk3ec0Mnj8mjbv9IJ-04n5AdWz0lwbelbehH2oF8XtNZj7H_jPw5vjUrXwWCwl6PIjzEpj3MQGtHndk2oavrkvrMoIba23WNHw2pqUqKyA0rS4G0xA7wUd0WEvhKbVeOlOIBFZrGXxIR0_kPergEC1H9pmvTJWxXzfY5mZ8c_zw6DbvKC2GRKt6EieOIY8eFE2gAZOpYIlSiXCItZ_hzkVmTZ9zyssCSVIYxlyfgC5WFkAiIX5C9qq7sK0KlNMqUSVwwA2zL0zw1aYYwcynE9NBPQD73PNDrFmBD-8BECt3yTgPvNPJOy4AcIpfuCBEb2z-oN1e6kxBteCYLsFNYKotnDnpkMS9VkZpSRVYlAXmPPNa4hhWm11yZm-1Wf7-80BOI14SEPlVAPnVErgZuF6Y7rQCTQsCsAeX-gBLUsxg296KkO_Ow1SxSCH2YpXFA3t0145uY8lbZ-gZpwE9h9QIY8MtW8u7m3QtwQLKBTA4WZtgCuuTBwzvdef3fb74hD5nXpixkfJ_sNZsb-xY2Zk0-AnVcZHCVR_GIPJhMzi7P4H54PDu_GPmPHXCdcjnyCvsX6yc9FA |
link.rule.ids | 230,315,733,786,790,870,891,2115,2236,12083,12250,21416,24346,27955,27956,31752,31753,33299,33300,33777,33778,43343,43612,43838,53825,53827 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3fb9MwELagewAJIRi_AgMMQiAhIhLHcWxe0AadOrZVaKzS3iwnsUcFS0qTSnvnH-cuccsiJF7ji5z4O9_57PN3hLyKSsUyYVUoDHchLyBgVSxyYZlbE4mylK4LFI-nYjLjX87SM7_h1vi0yrVN7Ax1WRe4Rw5BukK2uCyNPy5-hVg1Ck9XfQmN62QLKTfliGztjadfT9a2GBQ2Sv1ZZizF-wa8m8AIWoaRUCqUA2_Ukfb_a5qv-KZh3uQVR7R_h9z2K0i620N-l1yz1TYJPs9tS19TT_P5k07XLPvb5Fa_NUf7G0f3yO_xpbno6kJQWP1RJIxY9tcbaO2oM00burouaZcr1FJ7uahxG5GaqqTI5XBhKYiW2CE-qvvSAh-o9QVKKV5ZoWn8LhExnR3SvTnYjOoHXRifwl21zX0y2x-ffpqEvhZDWKSKt2HiODLbceEEmgSZOpYIlSiXSMsZHjcya_KMW14WWKTKMObyBLyjshAkgfADMqrqyj4iVEqjTJnEBTOCqzzNU5NmSDyXQpQP_QTk7RoTvegpN3QXqkihewA1AKgRQC0DsoeobQSRLbt7UC_PtZ982vBMFmC5sHgWzxz0yGJeqiI1pYqsSgLyEjHXOIYVJtycm1XT6INvJ3oXIjghoU8VkDdeyNWAfmH8_QX4KaTQGkjuDCRhwhbD5rVqaW8wGv1XvQPyYtOMb2ISXGXrFcqA58J6BvDBD3tN3Px3R5wmMng7G-joYGCGLdX8e0cnDiBkjEWP__9Zz8mNyenxkT46mB4-ITdZN4eykPEdMmqXK_sU1mZt_sxPwD8gWDbF |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELagSIgL70eggEEIJER2E8dxYm59rVpKVxWwUsXFcmK7rNpNVrtZqeLKH2cmj9UGbr3GEzl2Ps94ks_fEPIuMJIlwkpfaO58nkPCKlngfJNZHQhjUlcniidjcTjhX87is41SXzVpP8-mg-JyNiimv2pu5XyWDzue2PD0ZE9wmTAWDOfGDW-SW7BmWdIl6o0TBqQGcfsTM0zFcAlhTWDqnPqBkNLHMn211pRIwl5EqoX7_3fPG_Gpz53cCEaje-RnN4yGg3IxWFXZIP_9j8LjtcZ5n9xtt6h0pzF5QG7Y4iHx9qe2ou9pqyN6ScedjP8j8ufgSs_qQhMUtpMUFSgWzXkJWjrq9LLyXVkaWpOPKmqv5iV-l6S6MBTFIWaWgqnBDvBS2dQq-ExtW_GU4hkYGoefIhHSyTHdnYITKi7oXLec8KJaPiaT0cGPvUO_Le7g57HklR85jlJ5XDiBPiaNHYuEjKSLUssZ_r9kVmcJt9zkWPVKM-ayCMKttJB1gfETslWUhX1GaJpqqU0U5kzDjGVxFus4QSW72GYM-vHIx-4Fq3mj4aHq3CcVqgGGAmAoBIZKPbKLEFgbovx2faFcnKv25SjNkzQHV4jVuHjioEcWciPzWBsZWBl55C0CSOEcFsjgOder5VIdff-mdiAlFCn0KT3yoTVyJUAp1-2BCBgUanL1LLd7luAB8n5zh1PVeqClYoFEdcUkDj3yZt2MdyKrrrDlCm0gFGKBBHjgpw2s1-PuVodHkh7gexPTbwEY1_rkLWyfX_vO1-T26f5IfT0aH78gd1i9ahOf8W2yVS1W9iVsA6vsVb3g_wLhMlrf |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Examining+the+interaction+of+fast-food+outlet+exposure+and+income+on+diet+and+obesity%3A+evidence+from+51%2C361+UK+Biobank+participants&rft.jtitle=The+international+journal+of+behavioral+nutrition+and+physical+activity&rft.au=Thomas+Burgoine&rft.au=Chinmoy+Sarkar&rft.au=Chris+J.+Webster&rft.au=Pablo+Monsivais&rft.date=2018-07-24&rft.pub=BMC&rft.eissn=1479-5868&rft.volume=15&rft.issue=1&rft.spage=1&rft.epage=12&rft_id=info:doi/10.1186%2Fs12966-018-0699-8&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_a478c322d6db47f5b5214d9c5ad90e93 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1479-5868&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1479-5868&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1479-5868&client=summon |