Randomized trial evaluating the effectiveness of within versus across-category front-of-package lower-calorie labelling on food demand

Eric Andrew Finkelstein, Felicia Jia Ler Ang, Brett Doble, Eric Andrew Finkelstein, Felicia Jia Ler Ang, Brett Doble

Abstract

Background: Several front-of-pack (FOP) labels identify healthier options by comparing foods within product categories. Alternative approaches label healthier options by comparing across categories. Which approach is superior remains unknown. The objective of this study was to test the effect of a within-category versus across-category FOP lower calorie label on 1) the percentage of labeled products purchased, 2) several measures of calories purchased (total, per dollar and per serving), and 3) total spending. We also tested the moderating effects of hunger and mood on purchasing patterns.

Methods: Using an online grocery store, we conducted a 3 × 3 crossover trial involving actual purchases with 146 participants randomly exposed to: 1) no labeling control; 2) within-category lower calorie labels, and; 3) across-category lower calorie labels. We labeled the 20% of products with the lowest calories per serving within or across categories. Purchases were compared using a fixed effects regression on first-differenced outcomes.

Results: Relative to the control condition, there was a 3 percentage point increase (p = 0.01) in labelled products purchased in the within-category arm and a non-significant decrease of 1 percentage point (p = 0.711) in the across-category arm. There was no significant difference in the proportion of labeled products purchased between the two labelling conditions. Neither strategy resulted in reductions in any measure of calories purchased or in total spending. When limited to beverages, there was a 398 cal reduction (p = 0.01) in the within-category arm and a 438 cal reduction (p < 0.01) in the across-category arm versus the control. Mood and hunger did not modify the effects for either strategy.

Conclusions: Results provide evidence that both labelling strategies have the potential to influence food purchasing patterns. However, we cannot definitely state that one labelling approach is superior or even that an increase in the proportion of labelled products purchased will lead to a reduction in calories purchased.

Trial registration: The American Economic Association's registry for randomized controlled trials, RCT ID: AEARCTR-0002325; Prospectively Registered October 06, 2017. In compliance with ICMJE policy, the trial was also registered on Clinicaltrials.gov, RCT ID: [NCT04165447]. Retrospectively Registered 11 November 2019.

Keywords: Calories; Food intake; Front-of-pack labeling; Nutrition labeling; Online grocery store.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
‘Lower Calorie’ logo used in the LoCal study
Fig. 2
Fig. 2
Examples of ‘Lower Calorie’ products as they appeared on NUSMart
Fig. 3
Fig. 3
CONSORT Flow Diagram for participant recruitment and randomization

References

    1. Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70(1):3–21. doi: 10.1111/j.1753-4887.2011.00456.x.
    1. Wagner K-H, Brath H. A global view on the development of non communicable diseases. Prev Med. 2012;54:S38–S41. doi: 10.1016/j.ypmed.2011.11.012.
    1. Gortmaker SL, Swinburn BA, Levy D, Carter R, Mabry PL, Finegood DT, Huang T, Marsh T, Moodie ML. Changing the future of obesity: science, policy, and action. Lancet (London, England). 2011;378(9793):838–47. 10.1016/S0140-6736(11)60815-5.
    1. Popkin BM, Hawkes C. Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses. Lancet Diabetes Endocrinol. 2016;4(2):174–186. doi: 10.1016/S2213-8587(15)00419-2.
    1. Hawkes C, Smith TG, Jewell J, Wardle J, Hammond RA, Friel S, Kain J. Smart food policies for obesity prevention. The Lancet. 2015;385(9985):2410–21.
    1. Kerr MA, McCann MT, Livingstone MB. Food and the consumer: could labelling be the answer? Proc Nutr Soc. 2015;74(2):158–163. doi: 10.1017/S0029665115001676.
    1. Kuhl ES, Clifford LM, Stark LJ. Obesity in preschoolers: behavioral correlates and directions for treatment. Obesity (Silver Spring) 2012;20(1):3–29. doi: 10.1038/oby.2011.201.
    1. Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation. 2016;133(2):187–225. doi: 10.1161/CIRCULATIONAHA.115.018585.
    1. Hawkes C. Nutrition labels and health claims: the global regulatory environment: OMS. 2004.
    1. Variyam JN. Do nutrition labels improve dietary outcomes? Health Econ. 2008;17(6):695–708. doi: 10.1002/hec.1287.
    1. Helfer P, Shultz TR. The effects of nutrition labeling on consumer food choice: a psychological experiment and computational model. Ann N Y Acad Sci. 2014;1331:174–185. doi: 10.1111/nyas.12461.
    1. Cha E, Kim KH, Lerner HM, Dawkins CR, Bello MK, Umpierrez G, et al. Health literacy, self-efficacy, food label use, and diet in young adults. Am J Health Behav. 2014;38(3):331–339. doi: 10.5993/AJHB.38.3.2.
    1. Feunekes GI, Gortemaker IA, Willems AA, Lion R, van den Kommer M. Front-of-pack nutrition labelling: testing effectiveness of different nutrition labelling formats front-of-pack in four European countries. Appetite. 2008;50(1):57–70. doi: 10.1016/j.appet.2007.05.009.
    1. Campos S, Doxey J, Hammond D. Nutrition labels on pre-packaged foods: a systematic review. Public Health Nutr. 2011;14(8):1496–1506. doi: 10.1017/S1368980010003290.
    1. Mejean C, Macouillard P, Péneau S, Hercberg S, Castetbon K. Consumer acceptability and understanding of front-of-pack nutrition labels. J Hum Nutr Diet. 2013;26(5):494–503. doi: 10.1111/jhn.12039.
    1. Roos G, Lean M, Anderson A. Dietary interventions in Finland, Norway and Sweden: nutrition policies and strategies. J Hum Nutr Diet. 2002;15(2):99–110. doi: 10.1046/j.1365-277X.2002.00340.x.
    1. Larsson I, Lissner L, Wilhelmsen L. The ‘green keyhole’ revisited: nutritional knowledge may influence food selection. Eur J Clin Nutr. 1999;53:776. doi: 10.1038/sj.ejcn.1600839.
    1. Vyth EL, Steenhuis IHM, Mallant SF, Mol ZL, Brug J, Temminghoff M, et al. A front-of-pack nutrition logo: a quantitative and qualitative process evaluation in the Netherlands. J Health Commun. 2009;14(7):631–645. doi: 10.1080/10810730903204247.
    1. Vyth EL, Steenhuis IHM, Vlot JA, Wulp A, Hogenes MG, Looije DH, et al. Actual use of a front-of-pack nutrition logo in the supermarket: consumers’ motives in food choice. Public Health Nutr. 2010;13(11):1882–1889. doi: 10.1017/S1368980010000637.
    1. van Kleef E, van Trijp H, Paeps F, Fernandez-Celemin L. Consumer preferences for front-of-pack calories labelling. Public Health Nutr. 2008;11(2):203–213. doi: 10.1017/S1368980007000304.
    1. Bollinger B, Leslie P, Sorensen A. Calorie posting in chain restaurants. Am Econ J Econ Pol. 2011;3(1):91–128. doi: 10.1257/pol.3.1.91.
    1. Atalay AS, Meloy MG. Retail therapy: a strategic effort to improve mood. Psychol Mark. 2011;28(6):638–659. doi: 10.1002/mar.20404.
    1. Tuorila H, Kramer FM, Engell D. The choice of fat-free vs. regular-fat fudge: the effects of liking for the alternative and the restraint status. Appetite. 2001;37(1):27–32. doi: 10.1006/appe.2001.0410.
    1. Siep N, Roefs A, Roebroeck A, Havermans R, Bonte ML, Jansen A. Hunger is the best spice: An fMRI study of the effects of attention, hunger and calorie content on food reward processing in the amygdala and orbitofrontal cortex. Behav Brain Res. 2009;198(1):149–158. doi: 10.1016/j.bbr.2008.10.035.
    1. Hodgkins C, Barnett J, Wasowicz-Kirylo G, Stysko-Kunkowska M, Gulcan Y, Kustepeli Y, et al. Understanding how consumers categorise nutritional labels: a consumer derived typology for front-of-pack nutrition labelling. Appetite. 2012;59(3):806–817. doi: 10.1016/j.appet.2012.08.014.
    1. Schuldt JP. Does green mean healthy? Nutrition label color affects perceptions of healthfulness. Health Commun. 2013;28(8):814–821. doi: 10.1080/10410236.2012.725270.
    1. Chan JYM, Scourboutakos MJ, L'Abbé MR. Unregulated serving sizes on the Canadian nutrition facts table - an invitation for manufacturer manipulations. BMC Public Health. 2017;17(1):418. doi: 10.1186/s12889-017-4362-0.
    1. Talati Z, Pettigrew S, Dixon H, Neal B, Ball K, Hughes C. Do health claims and front-of-pack labels lead to a positivity bias in unhealthy foods? Nutrients. 2016;8(12):787. doi: 10.3390/nu8120787.
    1. Wisdom J, Downs JS, Loewenstein G. Promoting healthy choices: information versus convenience. Am Econ J Appl Econ. 2010;2(2):164–178. doi: 10.1257/app.2.2.164.
    1. Health Promotion Board S. WOG Healthier Drinks Policy Health Promotion Board2018 [updated 20 Feb 2018. Available from: . Accessed 31 Sept 2018.
    1. Baker JA. 7 major soft drinks manufacturers in Singapore to reduce sugar content in drinks. Channel News Asia. 2017. Retrieved from .
    1. An R. Beverage consumption in relation to discretionary food intake and diet quality among US adults, 2003 to 2012. J Acad Nutr Diet. 2016;116(1):28–37. doi: 10.1016/j.jand.2015.08.009.
    1. Sui Z, Wong WK, Louie JCY, Rangan A. Discretionary food and beverage consumption and its association with demographic characteristics, weight status, and fruit and vegetable intakes in Australian adults. Public Health Nutr. 2017;20(2):274–281. doi: 10.1017/S1368980016002305.
    1. Gardner MP, Wansink B, Kim J, Park S-B. Better moods for better eating?: how mood influences food choice. J Consum Psychol. 2014;24(3):320–335. doi: 10.1016/j.jcps.2014.01.002.
    1. Eertmans A, Victoir A, Vansant G, Van den Bergh O. Food-related personality traits, food choice motives and food intake: mediator and moderator relationships. Food Qual Prefer. 2005;16(8):714–726. doi: 10.1016/j.foodqual.2005.04.007.
    1. Grunert KG, Wills JM. A review of European research on consumer response to nutrition information on food labels. J Public Health. 2007;15(5):385–399. doi: 10.1007/s10389-007-0101-9.
    1. Chi HK, Yeh HR, Yang YT. The impact of brand awareness on consumer purchase intention: the mediating effect of perceived quality and brand loyalty. J Int Manage Stud. 2009;4(1):135–144.

Source: PubMed

3
구독하다