The Impact of the COVID-19 Pandemic on Public Interest in the Energy Labelling on Restaurant Menus
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants and Recruitment
2.3. Sample-Size Calculation
2.4. Study Questionnaire
2.5. Statistical Analysis
3. Results
3.1. Demographics and Background of Participants
3.2. Perceived Weight Status, Body Weight, and Quality of Diet
3.3. Restaurant Visits and Use of Food Delivery Applications before and during the COVID-19 Pandemic
3.4. Interest in Reading Energy Labelling before and during the COVID-19 Pandemic in Restaurants and Meal Delivery Applications
3.5. The Observation of Energy Labelling and Its Impact on Participants’ Food Choices during the COVID-19 Pandemic
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Barro, R.J.; Ursúa, J.F.; Weng, J. The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity; No. w26866; National Bureau of Economic Research: Cambridge, MS, USA, 2020. [Google Scholar]
- Nicola, M.; Alsafi, Z.; Sohrabi, C.; Kerwan, A.; Al-Jabir, A.; Iosifidis, C.; Agha, M.; Agha, R. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int. J. Surg. 2020, 78, 185–193. [Google Scholar] [CrossRef]
- Center for Food Safety and Applied Nutrition. Temporary Policy Regarding Nutrition Labeling of Standard Menu Items in Chain Restaurants and Similar Retail Food Establishments During the COVID-19 Public Health Emergency. 2020. Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/temporary-policy-regarding-nutrition-labeling-standard-menu-items-chain-restaurants-and-similar (accessed on 31 October 2022).
- SFDA Launches Healthy Food Regulation Strategy Tomorrow. Saudi Food and Drug Authority. 26 October 2022. Available online: https://sfda.gov.sa/en/news/1941 (accessed on 31 October 2022).
- Alkhaldy, A.A.; Taha, D.S.; Alsahafi, S.E.; Naaman, R.K.; Alkhalaf, M.M. Response of the public and restaurant owners to the mandatory menu energy-labelling implementation in restaurants in Saudi Arabia. Public Health Nutr. 2020, 23, 3435–3447. [Google Scholar] [CrossRef] [PubMed]
- Alassaf, H.I.; Alaskar, Y.A.; Alqulaysh, B.F.; Alshehri, M.A.; Alnosian, M.Y.; Alshamrani, A.A.; Al-Tannir, M. Assessment of knowledge, attitudes and practices of Saudi adults about calorie labeling in central Saudi Arabia. Saudi Med. J. 2020, 41, 296–303. [Google Scholar] [CrossRef]
- AlShehri, N.M.; AlMarzooqi, M.A. Consumers’ Knowledge, Attitudes, and Practices Toward Calorie Labeling in Riyadh City, Saudi Arabia: A Cross-Sectional Assessment. Front. Public Health 2022, 10, 893978. [Google Scholar] [CrossRef]
- AlAmer, N.A.; AlOmar, R.S.; AlKaltham, S.M.; AlYami, R.S.; AlRashidi, F.N.; AlJrri, M.M.; Wahab, M.M.A. Perceived effect of calorie count display on customers’ eating behaviors in food facilities of eastern province, Saudi Arabia: A mixed method study. J. Multidiscip. Healthc. 2020, 13, 1849. [Google Scholar] [CrossRef] [PubMed]
- Littlewood, J.A.; Lourenco, S.V.; Iversen, C.L.; Hansen, G.L. Menu labelling is effective in reducing energy ordered and consumed: A systematic review and meta-analysis of recent studies. Public Health Nutr. 2015, 19, 2106–2121. [Google Scholar] [CrossRef]
- López-Moreno, M.; López, M.; Miguel, M.; Garcés-Rimón, M. Physical and Psychological Effects Related to Food Habits and Lifestyle Changes Derived from Covid-19 Home Confinement in the Spanish Population. Nutrients 2020, 12, 3445. [Google Scholar] [CrossRef] [PubMed]
- Reyes-Olavarría, D.; Latorre-Román, P.Á.; Guzmán-Guzmán, I.P.; Jerez-Mayorga, D.; Caamaño-Navarrete, F.; Delgado-Floody, P. Positive and Negative Changes in Food Habits, Physical Activity Patterns, and Weight Status during COVID-19 Confinement: Associated Factors in the Chilean Population. Int. J. Environ. Res. Public Health 2020, 17, 5431. [Google Scholar] [CrossRef]
- Cheikh Ismail, L.; Osaili, T.M.; Mohamad, M.N.; Al Marzouqi, A.; Jarrar, A.H.; Zampelas, A.; Habib-Mourad, C.; Abu Jamous, D.O.; Ali, H.I.; Al Sabbah, H.; et al. Assessment of eating habits and lifestyle during the coronavirus 2019 pandemic in the Middle East and North Africa region: A cross-sectional study. Br. J. Nutr. 2020, 126, 757–766. [Google Scholar] [CrossRef]
- Almughamis, N.; Alasfour, S.; Mehmood, S. Poor eating habits and predictors of weight gain during the COVID-19 quarantine measures in Kuwait: A cross sectional study. F1000Research 2020, 9, 914. [Google Scholar] [CrossRef]
- Galali, Y. The impact of COVID-19 confinement on the eating habits and lifestyle changes: A cross sectional study. Food Sci. Nutr. 2021, 9, 2105–2113. [Google Scholar] [CrossRef]
- Pérez-Rodrigo, C.; Gianzo Citores, M.; Hervás Bárbara, G.; Ruiz-Litago, F.; Casis Sáenz, L.; Arija, V.; Aranceta-Bartrina, J. Patterns of change in dietary habits and physical activity during lockdown in Spain due to the COVID-19 pandemic. Nutrients 2021, 13, 300. [Google Scholar] [CrossRef]
- Ramos-Padilla, P.; Villavicencio-Barriga, V.; Cárdenas-Quintana, H.; Abril-Merizalde, L.; Solís-Manzano, A.; Carpio-Arias, T. Eating Habits and Sleep Quality during the COVID-19 Pandemic in Adult Population of Ecuador. Int. J. Environ. Res. Public Health 2021, 18, 3606. [Google Scholar] [CrossRef]
- Di Renzo, L.; Gualtieri, P.; Pivari, F.; Soldati, L.; Attinà, A.; Cinelli, G.; Leggeri, C.; Caparello, G.; Barrea, L.; Scerbo, F.; et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J. Transl. Med. 2020, 18, 229. [Google Scholar] [CrossRef]
- Di Renzo, L.; Gualtieri, P.; Cinelli, G.; Bigioni, G.; Soldati, L.; Attinà, A.; Bianco, F.; Caparello, G.; Camodeca, V.; Carrano, E.; et al. Psychological Aspects and Eating Habits during COVID-19 Home Confinement: Results of EHLC-COVID-19 Italian Online Survey. Nutrients 2020, 12, 2152. [Google Scholar] [CrossRef]
- Alhusseini, N.; Alqahtani, A. Covid-19 Pandemic’s Impact on Eating Habits in Saudi Arabia. J. Public Health Res. 2020, 9, jphr-2020. [Google Scholar] [CrossRef] [PubMed]
- Robinson, E.; Boyland, E.; Chisholm, A.; Harrold, J.; Maloney, N.G.; Marty, L.; Mead, B.R.; Noonan, R.; Hardman, C.A. Obesity, eating behavior and physical activity during COVID-19 lockdown: A study of UK adults. Appetite 2020, 156, 104853. [Google Scholar] [CrossRef] [PubMed]
- Info™, E. 7.2; Division of Health Informatics & Surveillance (DHIS), Center for Surveillance, Epidemiology & Laboratory Services (CSELS). 2018. Available online: https://www.cdc.gov/csels/dhis/index.html (accessed on 15 June 2020).
- General Authority for Statistics Kingdom of Saudi Arabia. Population by Age Groups, and Gender Mid Year. Available online: https://www.stats.gov.sa/en/6768 (accessed on 10 June 2020).
- Alkhalaf, M.M.; Bookari, K.A.; Arrish, J.; Fallata, G.A.; Alhumaidan, O.A.; Alakeel, S.A.; AlBuayjan, N.A.; Alkhunein, S.M.; Bin Obaydan, B.M.; Alshaya, A.A. The Effect of the COVID-19 Pandemic on Saudi Adults’ Behavior Regarding Food Literacy and Food Consumption. Cureus 2022, 14, e27878. [Google Scholar] [CrossRef] [PubMed]
- Poelman, M.P.; Gillebaart, M.; Schlinkert, C.; Dijkstra, S.C.; Derksen, E.; Mensink, F.; Hermans, R.C.; Aardening, P.; de Ridder, D.; de Vet, E. Eating behavior and food purchases during the COVID-19 lockdown: A cross-sectional study among adults in the Netherlands. Appetite 2020, 157, 105002. [Google Scholar] [CrossRef]
- Ben Hassen, T.; El Bilali, H.; Allahyari, M.S. Impact of COVID-19 on food behavior and consumption in Qatar. Sustainability 2020, 12, 6973. [Google Scholar] [CrossRef]
- Sidor, A.; Rzymski, P. Dietary Choices and Habits during COVID-19 Lockdown: Experience from Poland. Nutrients 2020, 12, 1657. [Google Scholar] [CrossRef] [PubMed]
- Chen, M.-F.; Lin, N.-P. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Res. 2018, 28, 351–373. [Google Scholar] [CrossRef]
- Dutta-Bergman, M.J. Primary Sources of Health Information: Comparisons in the Domain of Health Attitudes, Health Cognitions, and Health Behaviors. Health Commun. 2004, 16, 273–288. [Google Scholar] [CrossRef]
- Shaffer, J.A. Stages-of-change model. In Encyclopedia of Behavioral Medicine; Springer: Berlin/Heidelberg, Germany, 2020; pp. 2129–2132. [Google Scholar]
- Chen, H.W.J.; Marzo, R.R.; Anton, H.; Abdalqader, M.A.; Rajasekharan, V.; Baobaid, M.F.; Hamzah, H.; Tang, H.C.; Ads, H.O. Dietary Habits, Shopping Behavior and Weight Gain during Covid-19 Pandemic Lockdown among Students in a Private University in Selangor, Malaysia. J. Public Health Res. 2021, 10 (Suppl. S2), jphr-2021. [Google Scholar] [CrossRef]
- Bleich, S.N.; Pollack, K.M. The publics’ understanding of daily caloric recommendations and their perceptions of calorie posting in chain restaurants. BMC Public Health 2010, 10, 121. [Google Scholar] [CrossRef] [Green Version]
- Radwan, H.; Faroukh, E.M.; Obaid, R.S. Menu labeling implementation in dine-in restaurants: The Public’s knowledge, attitude and practices. Arch. Public Health 2017, 75, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Szykman, L.R.; Bloom, P.N.; Levy, A.S. A Proposed Model of the Use of Package Claims and Nutrition Labels. J. Public Policy Mark. 1997, 16, 228–241. [Google Scholar] [CrossRef] [Green Version]
- Petrovici, D.; Fearne, A.; Nayga, R.M.; Drolias, D. Nutritional knowledge, nutritional labels, and health claims on food: A study of supermarket shoppers in the South East of England. Br. Food J. 2012, 114, 768–783. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Bandura, A. Social Cognitive Theory: An Agentic Perspective. Asian J. Soc. Psychol. 1999, 2, 21–41. [Google Scholar] [CrossRef]
- Prochaska, J.O.; Velicer, W.F. The Transtheoretical Model of Health Behavior Change. Am. J. Health Promot. 1997, 12, 38–48. [Google Scholar] [CrossRef] [PubMed]
- Sapp, S.G. Incomplete knowledge and attitude-behavior inconsistency. Soc. Behav. Personal. Int. J. 2002, 30, 37–44. [Google Scholar] [CrossRef]
- Jager, J.; Putnick, D.L.; Bornstein, M.H., II. More than just convenient: The scientific merits of homogeneous convenience samples. Monogr. Soc. Res. Child Dev. 2017, 82, 13–30. [Google Scholar] [CrossRef] [PubMed]
Variables | n | % |
---|---|---|
Age (y) | ||
18–24 | 854 | 52 |
25–39 | 524 | 32 |
40–59 | 255 | 15 |
≥60 | 24 | 1 |
Gender | ||
Male | 314 | 19 |
Female | 1343 | 81 |
Nationality | ||
Saudi | 1539 | 93 |
Non-Saudi | 118 | 7 |
Marital Status | ||
Single | 968 | 58 |
Married | 574 | 35 |
Widower | 15 | 1 |
Divorced | 59 | 4 |
Preferred not to say | 41 | 2 |
Educational Level | ||
High school or less | 646 | 39 |
University level | 877 | 53 |
Higher degrees | 134 | 8 |
Work Status | ||
Student | 743 | 45 |
Employed | 510 | 31 |
Unemployed | 241 | 15 |
Retired | 163 | 10 |
Income (SR) a | ||
No income | 482 | 29 |
<2000 SR | 476 | 29 |
2000–4000 SR | 206 | 12 |
5000–7000 SR | 136 | 8 |
8000–10000 SR | 133 | 8 |
>10,000 SR | 224 | 14 |
Field of Study | ||
Scientific | 615 | 38 |
Literature | 498 | 30 |
Medical | 408 | 25 |
No specific field | 114 | 7 |
Region | ||
Central region | 499 | 30 |
Northern region | 68 | 4 |
Southern region | 53 | 3 |
Eastern region | 184 | 11 |
Western region | 853 | 51 |
Diagnosed with COVID-19 | ||
Yes | 236 | 14 |
No | 1421 | 86 |
Medical Diagnosis | ||
Reported no diseases | 1325.6 | 80 |
Cardiovascular diseases b | 83.1 | 5 |
Osteoporosis | 57.1 | 3 |
Diabetes | 72.1 | 4 |
Anemia | 123.1 | 7 |
Smoking | ||
Yes | 115 | 7 |
No | 1497 | 90 |
Ex-smoker | 45 | 3 |
Physical Activity | ||
Fairly inactive | 960 | 58 |
Moderately active | 538 | 32 |
Very active | 159 | 10 |
Knew How to Calculate Calories | ||
Yes | 671 | 40 |
No | 652 | 39 |
Not sure | 334 | 20 |
Views About the Helpfulness of Energy Labelling During the COVID-19 Pandemic to Improve Food Choices | ||
Agree | 1241 | 75 |
Disagree | 22 | 1 |
Neutral | 235 | 14 |
Did not know | 159 | 10 |
Answers | n | % | ||
---|---|---|---|---|
Perceived Weight Status | Before COVID-19 Pandemic (n = 1657) | Below normal | 181 | 11 |
Within the normal range | 774 | 47 | ||
Slightly above the normal weight | 515 | 31 | ||
Above the normal weight | 123 | 7 | ||
Not sure | 64 | 4 | ||
During COVID-19 Pandemic (n = 1657) | Yes, gained weight | 554 | 33 | |
Yes, lost weight | 379 | 23 | ||
No, weight had not changed | 528 | 32 | ||
Not sure | 196 | 12 | ||
Body Mass Index * | Before COVID-19 Pandemic (n = 1624) | Underweight | 210 | 13 |
Normal | 741 | 46 | ||
Overweight | 410 | 25 | ||
Obese | 263 | 16 | ||
During COVID-19 Pandemic (n = 1622) | Underweight | 201 | 12 | |
Normal | 761 | 47 | ||
Overweight | 378 | 23 | ||
Obese | 282 | 17 | ||
Perceived Diet Quality | Before COVID-19 Pandemic (n = 1657) | Unhealthy | 420 | 25 |
Adequate | 990 | 60 | ||
Healthy | 194 | 12 | ||
Did not know | 53 | 3 | ||
During COVID-19 Pandemic (n = 1657) | Yes, it improved it | 523 | 32 | |
Yes, it made it worse | 352 | 21 | ||
No, it did not affect it | 782 | 47 |
Variables | Restaurant Visits | Food Delivery Applications | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Before COVID-19 | During COVID-19 | Before COVID-19 | During COVID-19 | |||||||||
Extremely interested | Little interested | Not interested | Extremely interested | Little interested | Not interested | Extremely interested | Little interested | Not interested | Extremely interested | Little interested | Not interested | |
Total (%) | 17 | 39 | 43 | 22 | 39 | 38 | 17 | 33 | 50 | 20 | 33 | 46 |
Age (y) | ||||||||||||
18–24 | 152 (9) | 295 (18) | 407 (25) | 211 (13) | 284 (17) | 359 (22) | 151 (9) | 252 (15) | 451 (27) | 188 (11) | 252 (15) | 414 (25) |
25–39 | 93 (6) | 233 (14) | 198 (12) | 103 (6) | 245 (15) | 176 (11) | 81 (5) | 207 (12) | 236 (14) | 101 (6) | 205 (12) | 218 (13) |
40–59 | 40 (2) | 115 (7) | 100 (6) | 52 (3) | 112 (7) | 91 (5) | 39 (2) | 88 (5) | 128 (8) | 45 (3) | 92 (6) | 118 (7) |
≥60 | 4 (0) | 8 (0) | 12 (1) | 6 (0) | 7 (0) | 11 (1) | 4 (0) | 7 (0) | 13 (1) | 4 (0) | 6 (0) | 14 (1) |
p-value | 0.003 | <0.000 | 0.019 | 0.011 | ||||||||
Gender | ||||||||||||
Male | 62 (4) | 114 (7) | 138 (8) | 69 (4) | 124 (7) | 121 (7) | 58 (4) | 98 (6) | 158 (10) | 63 (4) | 103 (6) | 148 (9) |
Female | 227 (14) | 537 (32) | 579 (35) | 303 (18) | 524 (32) | 516 (31) | 217 (13) | 456 (28) | 670 (40) | 275 (17) | 452 (27) | 616 (37) |
p-value | 0.35 | 0.973 | 0.496 | 0.921 | ||||||||
Marital Status | ||||||||||||
Single | 181 (11) | 350 (21) | 437 (26) | 242 (15) | 346 (21) | 380 (23) | 182 (11) | 303 (18) | 483 (29) | 215 (13) | 302 (18) | 451 (27) |
Married | 88 (5) | 260 (16) | 226 (14) | 106 (6) | 267 (16) | 201 (12) | 77 (5) | 218 (13) | 279 (17) | 96 (6) | 222 (13) | 256 (15) |
Widower | 0 (0) | 5 (0) | 10 (1) | 2 (0) | 3 (0) | 10 (1) | 1 (0) | 3 (0) | 11 (1) | 3 (0) | 2 (0) | 10 (1) |
Divorced | 10 (1) | 24 (1) | 25 (2) | 13 (1) | 19 (1) | 27 (2) | 10 (1) | 17 (1) | 32 (2) | 13 (1) | 18 (1) | 28 (2) |
Preferred not to say | 10 (1) | 12 (1) | 19 (1) | 9 (1) | 13 (1) | 19 (1) | 5 (0) | 13 (1) | 23 (1) | 11 (1) | 11 (1) | 19 (1) |
p-value | 0.011 | 0.001 | 0.04 | 0.034 | ||||||||
Educational Level | ||||||||||||
High school or less | 78 (5) | 227 (14) | 341 (21) | 114 (7) | 225 (14) | 307 (19) | 74 (4) | 201 (12) | 371 (22) | 95 (6) | 208 (13) | 343 (21) |
University level | 174 (11) | 368 (22) | 335 (20) | 218 (13) | 369 (22) | 290 (18) | 170 (10) | 309 (19) | 398 (24) | 208 (13) | 307 (19) | 362 (22) |
Higher degrees | 37 (2) | 56 (3) | 41 (2) | 40 (2) | 54 (3) | 40 (2) | 31 (2) | 44 (3) | 59 (4) | 35 (2) | 40 (2) | 59 (4) |
p-value | <0.000 | <0.000 | <0.000 | <0.000 | ||||||||
Work Status | ||||||||||||
Student | 122 (7) | 272 (16) | 349 (21) | 179 (11) | 253 (15) | 311 (19) | 124 (7) | 233 (14) | 386 (23) | 160 (10) | 229 (14) | 354 (21) |
Employed | 115 (7) | 214 (13) | 181 (11) | 134 (8) | 216 (13) | 160 (10) | 107 (6) | 182 (11) | 221 (13) | 122 (7) | 181 (11) | 207 (12) |
Unemployed | 37 (2) | 93 (6) | 111 (7) | 41 (2) | 97 (6) | 103 (6) | 33 (2) | 82 (5) | 126 (8) | 41 (2) | 81 (5) | 119 (7) |
Retired | 15 (1) | 72 (4) | 76 (5) | 18 (1) | 82 (5) | 63 (4) | 11 (1) | 57 (3) | 95 (6) | 15 (1) | 64 (4) | 84 (5) |
p-value | <0.000 | < 0.000 | < 0.000 | < 0.000 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Alkhaldy, A.A.; Alhumaidan, O.A.; Alkhunein, S.M.; Alkhalaf, M.M.; Bookari, K.A.; Arrish, J.M. The Impact of the COVID-19 Pandemic on Public Interest in the Energy Labelling on Restaurant Menus. Nutrients 2023, 15, 466. https://doi.org/10.3390/nu15020466
Alkhaldy AA, Alhumaidan OA, Alkhunein SM, Alkhalaf MM, Bookari KA, Arrish JM. The Impact of the COVID-19 Pandemic on Public Interest in the Energy Labelling on Restaurant Menus. Nutrients. 2023; 15(2):466. https://doi.org/10.3390/nu15020466
Chicago/Turabian StyleAlkhaldy, Areej A., Omar A. Alhumaidan, Sarah M. Alkhunein, Majid M. Alkhalaf, Khlood A. Bookari, and Jamila M. Arrish. 2023. "The Impact of the COVID-19 Pandemic on Public Interest in the Energy Labelling on Restaurant Menus" Nutrients 15, no. 2: 466. https://doi.org/10.3390/nu15020466
APA StyleAlkhaldy, A. A., Alhumaidan, O. A., Alkhunein, S. M., Alkhalaf, M. M., Bookari, K. A., & Arrish, J. M. (2023). The Impact of the COVID-19 Pandemic on Public Interest in the Energy Labelling on Restaurant Menus. Nutrients, 15(2), 466. https://doi.org/10.3390/nu15020466