Recent publications

2021

Law, C., Smith, R., Cornelsen, L., 2022. Place matters: Out-of-home demand for food and beverages in Great Britain. Food Policy 107, 102215. https://doi.org/10.1016/J.FOODPOL.2021.102215

O’Leary, C., Cummins, S., Smith, R.D., Cornelsen, L., 2021. Like parent, like child: a cross-sectional study of intra-household consumption patterns of non-alcoholic beverages among British households with children. Public Health Nutrition 1–9. https://doi.org/10.1017/S1368980021005061

Yau, A., Berger, N., Law, C., Cornelsen, L., Greener, R., Adams, J., Boyland, E.J., Burgoine, T., de Vocht, F., Egan, M., Er, V., Lake, A.A., Lock, K., Mytton, O., Petticrew, M., Thompson, C., White, M., Cummins, S., 2022. Changes in household food and drink purchases following restrictions on the advertisement of high fat, salt, and sugar products across the Transport for London network: A controlled interrupted time series analysis. PLOS Medicine 19, e1003915. https://doi.org/10.1371/JOURNAL.PMED.1003915

Courtin, E., & Vineis, P. 2021. COVID-19 as a Syndemic. Frontiers in Public Health, 9, 1401. https://doi.org/10.3389/fpubh.2021.763830

Courtin, E., Allen, H. L., Katz, L. F., Miller, C., Aloisi, K., & Muennig, P. A. 2021. Effect of Expanding the Earned Income Tax Credit to Americans without Dependent Children on Psychological Distress (Paycheck Plus): a Randomized Controlled Trial. American Journal of Epidemiology. https://doi.org/10.2105/AJPH.2021.306359

Thompson, C., Clary, C., Er, V., Adams, J., Boyland, E., Burgoine, T., Cornelsen, L., de Vocht, F., Egan, M., Lake, A. A., Lock, K., Mytton, O., Petticrew, M., White, M., Yau, A., & Cummins, S. 2021. Media representations of opposition to the “junk food advertising ban” on the Transport for London (TfL) network: A thematic content analysis of UK news and trade press. SSM – Population Health, 15. https://doi.org/10.1016/J.SSMPH.2021.100828

Meiksin, R., Er, V., Thompson, C., Adams, J., Boyland, E., Burgoine, T., Cornelsen, L., de Vocht, F., Egan, M., Lake, A. A., Lock, K., Mytton, O., White, M., Yau, A., & Cummins, S. 2021. Restricting the advertising of high fat, salt and sugar foods on the Transport for London estate: Process and implementation study. Social Science & Medicine (1982), 114548. https://doi.org/10.1016/J.SOCSCIMED.2021.114548

Cuevas, S., Patel, N., Thompson, C., Petticrew, M., Cummins, S., Smith, R., & Cornelsen, L. 2021. Escaping the Red Queen: Health as a corporate food marketing strategy. SSM – Population Health, 16, 100953. https://doi.org/10.1016/J.SSMPH.2021.100953

Pell, D., Mytton, O., Penney, T. L., Briggs, A., Cummins, S., Penn-Jones, C., Rayner, M., Rutter, H., Scarborough, P., Sharp, S. J., Smith, R. D., White, M., & Adams, J. 2021. Changes in soft drinks purchased by British households associated with the UK soft drinks industry levy: controlled interrupted time series analysis. BMJ, 372. https://doi.org/10.1136/BMJ.N254

Yau, A., Adams, J., Boyland, E. J., Burgoine, T., Cornelsen, L., de Vocht, F., Egan, M., Er, V., Lake, A. A., Lock, K., Mytton, O., Petticrew, M., Thompson, C., White, M., & Cummins, S. (2021). Sociodemographic differences in self-reported exposure to high fat, salt and sugar food and drink advertising: a cross-sectional analysis of 2019 UK panel data. BMJ Open, 11(4), e048139. https://doi.org/10.1136/bmjopen-2020-048139

Pell, D., Mytton, O., Penney, T.L., Briggs, A., Cummins, S., Penn-Jones, C., Rayner, M., Rutter, H., Scarborough, P., Sharp, S.J., Smith, R.D., White, M., Adams, J., 2021. Changes in soft drinks purchased by British households associated with the UK soft drinks industry levy: Controlled interrupted time series analysis. BMJ 372. https://doi.org/10.1136/bmj.n254

Brown, K.A., Srinivasapura Venkateshmurthy, N., Law, C., Harris, F., Kadiyala, S., Shankar, B., Mohan, S., Prabhakaran, D., Knai, C., 2021. Moving towards sustainable food systems: A review of Indian food policy budgets. Glob. Food Sec. 28, 100462. https://doi.org/10.1016/j.gfs.2020.100462

Karim, W., Courtin, E., & Muennig, P. A. 2021. Addressing the Social Determinants of Health in the Aftermath of COVID-19: Lessons From the 2008 Great Recession. American Journal of Public Health, 111(8), 1433–1435. https://doi.org/10.2105/AJPH.2021.306359

2020

Watt, T., Beckert, W., Smith, R., Cornelsen, L. 2020. Reducing consumption of unhealthy foods and beverages through banning price promotions: What is the evidence and will it work? Public Health Nutrition, 23(12), 2228-2233. DOI: 10.1017/S1368980019004956

Cummins, S., Berger, N., Cornelsen, L., Eling, J., Er, V., Greener, R., Kalbus, A., Karapici, A., Law, C., Ndlovu, D., Yau, A. 2020. COVID-19: impact on the urban food retail system and dietary inequalities in the UK, Cities & Health, DOI: 10.1080/23748834.2020.1785167

Berger, N., Allen, A., Cummins, S., Smith, RD, Cornelsen, L. 2020. Patterns of beverage purchases amongst British households: A latent class analysis. Plos Med https://doi.org/10.1371/journal.pmed.1003245

Berger, N., Cummins, S., Smith, R.D., Cornelsen, L. 2020.Have socio-economic inequalities in sugar purchasing widened? A longitudinal analysis of food and beverage consumer data from British households, 2014–2017. Public Health Nutrition  https://doi.org/10.1017/S1368980020005029

Cornelsen, L., Quaife, M., Lagarde, M., Smith, R.D. 2020. Framing and signalling effects of taxes on sugary drinks: A discrete choice experiment among households in Great Britain. Health Economics, 29(10), 1132-47. https://onlinelibrary.wiley.com/doi/full/10.1002/hec.4123

Biondi, B., Cornelsen, L., Mazzocchi, M., Smith, R.D. 2020. Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies. JEBO. 180, 108-128. https://doi.org/10.1016/j.jebo.2020.09.016

Law, C., Cornelsen, L., Adams, J., Pell, D., Rutter, H., White, M., Smith, R., 2020. The Impact of UK Soft Drinks Industry Levy on Manufacturers’ Domestic Turnover. Econ. Hum. Biol. 100866. https://doi.org/10.1016/j.ehb.2020.100866

Berger, N., Lewis, D., Quartagno, M., Njagi, E., Cummins, S., 2020. Longitudinal associations between neighbourhood trust, social support and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study. J. Epidemiol. Community Health. http://dx.doi.org/10.1136/jech-2019-213412

Law, C., Cornelsen, L., Adams, J., Penney, T., Rutter, H., White, M., Smith, R., 2020. An analysis of the stock market reaction to the announcements of the UK Soft Drinks Industry Levy. Econ. Hum. Biol. 100834. https://doi.org/10.1016/j.ehb.2019.100834

Scarborough, P., Adhikari, V., Harrington, R.A., Elhussein, A., Briggs, A., Rayner, M., Adams, J., Cummins, S., Penney, T., White, M., 2020. Impact of the announcement and implementation of the UK Soft Drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19: A controlled interrupted time series analysis. PLOS Med. 17, e1003025. https://doi.org/10.1371/journal.pmed.1003025

Hassan, S., Ross, J., Marston, L., Burton, A., Osborn, D., & Walters, K. (2020). Exploring how health behaviours are supported and changed in people with severe mental illness: A qualitative study of a cardiovascular risk reducing intervention in Primary Care in England. British Journal of Health Psychology, 25(3), 428–451. https://doi.org/10.1111/1468-0009.12451

Courtin, E., Kim, S., Song, S., Yu, W., & Muennig, P. (2020). Can Social Policies Improve Health? A Systematic Review and Meta-Analysis of 38 Randomized Trials. The Milbank Quarterly, 98(2), 297–371. https://doi.org/10.1377/hlthaff.2019.01556

2019

Berger, N., Lewis, D., Quartagno, M., Njagi, E.N., Cummins, S., 2019. Longitudinal associations between perceptions of the neighbourhood environment and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study. BMC Public Health 19, 1760. https://doi.org/10.1186/s12889-019-8003-7

Shareck, M., Benmarhnia, T., Berger, N., Smith, N.R., Lewis, D., Cummins, S., 2019. Does the neighborhood food environment contribute to ethnic inequalities in fast-food intake? findings from the ORiEL study. Prev. Med. Reports 16. https://doi.org/10.1016/j.pmedr.2019.100998

Scheelbeek, P.F.D., Cornelsen, L., Marteau, T.M., Jebb, S.A., Smith, R.D., 2019. Potential impact on prevalence of obesity in the UK of a 20% price increase in high sugar snacks: modelling study. BMJ 366, l4786. https://doi.org/10.1136/bmj.l4786

Berger, N., Cummins, S., Smith, R.D., Cornelsen, L., 2019. Recent trends in energy and nutrient content of take-home food and beverage purchases in Great Britain: an analysis of 225 million food and beverage purchases over 6 years. BMJ Nutr. Prev. Heal. bmjnph-2019-000036. https://doi.org/10.1136/bmjnph-2019-000036

Nightingale, C.M., Limb, E.S., Ram, B., Shankar, A., Clary, C., Lewis, D., Cummins, S., Procter, D., Cooper, A.R., Page, A.S., Ellaway, A., Giles-Corti, B., Whincup, P.H., Rudnicka, A.R., Cook, D.G., Owen, C.G., 2019. The effect of moving to East Village, the former London 2012 Olympic and Paralympic Games Athletes’ Village, on physical activity and adiposity (ENABLE London): a cohort study. Lancet Public Heal. https://doi.org/10.1016/S2468-2667(19)30133-1

Berger, N., Lewis, D., Quartagno, M., Njagi, E.N., Cummins, S., 2019. Associations between school and neighbourhood ethnic density and physical activity in adolescents: Evidence from the Olympic Regeneration in East London (ORiEL) study. Soc. Sci. Med. 112426. https://doi.org/10.1016/J.SOCSCIMED.2019.112426

Berger, N., Kaufman, T.K., Bader, M.D.M., Rundle, A.G., Mooney, S.J., Neckerman, K.M., Lovasi, G.S., 2019. Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990–2010. Soc. Sci. Med. 112362. https://doi.org/10.1016/j.socscimed.2019.112362

Cornelsen, L., Berger, N., Cummins, S., Smith, R., 2019. Socio-economic patterning of expenditures on ‘out-of-home’ food and non-alcoholic beverages by product and place of purchase in Britain. Soc. Sci. Med. https://doi.org/10.1016/j.socscimed.2019.112361

Cornelsen, L., Mazzocchi, M., Smith, R.D., 2019. Fat tax or thin subsidy? How price increases and decreases affect the energy and nutrient content of food and beverage purchases in Great Britain. Soc. Sci. Med. 230, 318. https://doi.org/10.1016/j.socscimed.2019.04.003

Law, T.W., Green, R., Kadiyala, S., Bhavani, S., Knai, C., Brown, K., Dangour, A., Cornelsen, L., 2019. Purchase trends of processed foods and beverages in urban India. Glob. Food Sec. 23, 191–204. https://doi.org/10.1016/j.gfs.2019.05.007

Pistoll, C.T., Cummins, S., 2019. Exploring changes in active travel uptake and cessation across the lifespan: Longitudinal evidence from the UK Household Longitudinal Survey. Prev. Med. Reports 13, 57–61. https://doi.org/10.1016/j.pmedr.2018.11.008

Hassan, S., Ross, J., Marston, L., Osborn, D., & Walters, K. 2019. Factors prospectively associated with physical activity and dietary related outcomes in people with severe mental illness: A systematic review of longitudinal studies. Psychiatry Research, 273, 181–191. https://doi.org/10.1111/geoj.12285

Thompson, C., Smith, D., Cummins, S., 2019. Food banking and emergency food aid: expanding the definition of local food environments and systems. Int. J. Behav. Nutr. Phys. Act. 16, 2. https://doi.org/10.1186/s12966-018-0765-2

2018

Cornelsen, L., Smith, R.D., 2018. Soda taxes–Four questions economists need to address. Food Policy 74, 138–142. https://doi.org/10.1016/j.foodpol.2017.12.003

Hassan, S., Bennett, K., & Serfaty, M. 2018. Delivering cognitive behavioural therapy to advanced cancer patients: A qualitative exploration into therapists’ experiences within a UK psychological service. Clinical Psychology & Psychotherapy, 25(4), 565–574. https://doi.org/10.1002/CPP.2190

Knai, C., Petticrew, M., Mays, N., Capewell, S., Cassidy, R., Cummins, S., Eastmure, E., Fafard, P., Hawkins, B., Jensen, J.D., 2018. Systems thinking as a framework for analyzing commercial determinants of health. Milbank Q. 96, 472–498. https://doi.org/10.1111/1468-0009.12339

Mason, K.E., Pearce, N., Cummins, S., 2018. Associations between fast food and physical activity environments and adiposity in mid-life: cross-sectional, observational evidence from UK Biobank. Lancet Public Heal. 3, e24–e33. https://doi.org/10.1016/S2468-2667(17)30212-8

Quirmbach, D., Cornelsen, L., Jebb, S.A., Marteau, T., Smith, R., 2018. Effect of increasing the price of sugar-sweetened beverages on alcoholic beverage purchases: an economic analysis of sales data. J Epidemiol Community Heal. 72, 324–330. http://dx.doi.org/10.1136/jech-2017-209791

Shareck, M., Lewis, D., Smith, N.R., Clary, C., Cummins, S., 2018. Associations between home and school neighbourhood food environments and adolescents’ fast-food and sugar-sweetened beverage intakes: findings from the Olympic Regeneration in East London (ORiEL) Study. Public Health Nutr. 21, 2842–2851. https://doi.org/10.1017/S1368980018001477

Smith, R.D., Cornelsen, L., Quirmbach, D., Jebb, S.A., Marteau, T.M., 2018. Are sweet snacks more sensitive to price increases than sugar-sweetened beverages: analysis of British food purchase data. BMJ Open 8, e019788. http://dx.doi.org/10.1136/bmjopen-2017-019788

Thompson, C., Milton, S., Egan, M., Lock, K., 2018. Down the local: A qualitative case study of daytime drinking spaces in the London Borough of Islington. Int. J. Drug Policy 52, 1–8. https://doi.org/10.1016/j.drugpo.2017.11.019

Thompson, C., Ponsford, R., Lewis, D., Cummins, S., 2018. Fast-food, everyday life and health: A qualitative study of ‘chicken shops’ in East London. Appetite 128, 7–13. https://doi.org/10.1016/j.appet.2018.05.136

Thompson, C., Smith, D., Cummins, S., 2018. Understanding the health and wellbeing challenges of the food banking system: A qualitative study of food bank users, providers and referrers in London. Soc. Sci. Med. 211, 95–101. https://doi.org/10.1016/j.socscimed.2018.05.030

2017

Cornelsen, L., Mytton, O.T., Adams, J., Gasparrini, A., Iskander, D., Knai, C., Petticrew, M., Scott, C., Smith, R., Thompson, C., 2017. Change in non-alcoholic beverage sales following a 10-pence levy on sugar-sweetened beverages within a national chain of restaurants in the UK: interrupted time series analysis of a natural experiment. J Epidemiol Community Heal. 71, 1107–1112. http://dx.doi.org/10.1136/jech-2017-209947

Cummins, S., Clary, C., Shareck, M., 2017. Enduring challenges in estimating the effect of the food environment on obesity. Am. J. Clin. Nutr. 106, 445–446. https://doi.org/10.3945/ajcn.117.161547

Thompson, C., Lewis, D.J., Greenhalgh, T., Smith, N.R., Fahy, A.E., Cummins, S., 2017. “I don’t know how I’m still standing” a Bakhtinian analysis of social housing and health narratives in East London. Soc. Sci. Med. 177, 27–34. https://doi.org/10.1016/j.socscimed.2017.01.054

2016

Clary, C., Lewis, D.J., Flint, E., Smith, N.R., Kestens, Y., Cummins, S., 2016. The local food environment and fruit and vegetable intake: a geographically weighted regression approach in the ORiEL Study. Am. J. Epidemiol. 184, 837–846. https://doi.org/10.1093/aje/kww073

Cornelsen, L., Alarcon, P., Häsler, B., Amendah, D.D., Ferguson, E., Fèvre, E.M., Grace, D., Dominguez-Salas, P., Rushton, J., 2016. Cross-sectional study of drivers of animal-source food consumption in low-income urban areas of Nairobi, Kenya. BMC Nutr. 2, 70. https://doi.org/10.1186/s40795-016-0109-z

Cornelsen, L., Mazzocchi, M., Green, R., Dangour, A.D., Smith, R.D., 2016. Estimating the relationship between food prices and food consumption—methods matter. Appl. Econ. Perspect. Policy 38, 546–561. https://doi.org/10.1093/aepp/ppw010

Flint, E., Cummins, S., 2016. Active commuting and obesity in mid-life: cross-sectional, observational evidence from UK Biobank. lancet Diabetes Endocrinol. 4, 420–435. https://doi.org/10.1016/S2213-8587(16)00053-X

Flint, E., Webb, E., Cummins, S., 2016. Change in commute mode and body-mass index: prospective, longitudinal evidence from UK Biobank. Lancet Public Heal. 1, e46–e55. https://doi.org/10.1016/S2468-2667(16)30006-8

Thompson, C., Cummins, S., Brown, T., Kyle, R., 2016. Contrasting approaches to ‘doing’family meals: a qualitative study of how parents frame children’s food preferences. Crit. Public Health 26, 322–332. https://doi.org/10.1080/09581596.2015.1089353