Attachment to Meat and Willingness Towards Cultured Alternatives Among Consumers: A Cross-Sectional Study in the UAE
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Study Population and Sample Size
2.3. Ethical Considerations
2.4. Study Questionnaire
2.5. Translation of the Questionnaire and Pilot Testing
2.6. Description of the Data Collection Tools
2.6.1. Section 1: Current Meat Consumption Pattern
2.6.2. Section 2: Meat Attachment
2.6.3. Section 3: Questions Assessing Willingness Toward Cultured Meat Consumption
2.6.4. Section 4: Sociodemographic Questions
2.7. Statistical Analysis
3. Results
3.1. Sociodemographic Characteristics of the Study Population
3.2. Meat Consumption Pattern Among Consumers
3.3. Degree of Meat Attachment Among Consumers
3.4. Categories of Meat Attachment Question (MAQ)
3.5. Consumer Willingness Towards Cultured Meat Consumption
3.6. Types of Products (Protein Sources) That Would Be Appealing to Consumers If They Were Produced Using Cultured Methods
3.7. Comparison of MAQ Score Among Sociodemographic Characteristics
3.8. Comparison of Willingness Score Toward Cultured Meat Consumption Among Sociodemographic Characteristics
3.9. Determinants of the Total MAQ and Willingness Towards Cultured Meat in the Study Population Depicted by Simple Linear Regression
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Yitbarek, M.B.J.I. Livestock and livestock product trends by 2050. Int. J. Anim. Res. 2019, 4, 30. [Google Scholar]
- UN. 2022 Revision of World Population Prospects. Available online: https://population.un.org/wpp/ (accessed on 4 September 2023).
- Bir, C.; Davis, M.; Widmar, N.; Zuelly, S.; Erasmus, M.J. Perceptions of animal welfare with a special focus on turkeys. Front. Vet. Sci. 2019, 6, 413. [Google Scholar] [CrossRef] [PubMed]
- Stoll-Kleemann, S.; Schmidt, U.J. Reducing meat consumption in developed and transition countries to counter climate change and biodiversity loss: A review of influence factors. Reg. Environ. Change 2017, 17, 1261–1277. [Google Scholar] [CrossRef]
- Michalk, D.L.; Kemp, D.R.; Badgery, W.B.; Wu, J.; Zhang, Y.; Thomassin, P.J. Sustainability and future food security—A global perspective for livestock production. Land Degrad. Dev. 2019, 30, 561–573. [Google Scholar] [CrossRef]
- Poore, J.; Nemecek, T.J.S. Reducing food’s environmental impacts through producers and consumers. Science 2018, 360, 987–992. [Google Scholar] [CrossRef]
- Gomez-Zavaglia, A.; Mejuto, J.C.; Simal-Gandara, J.J. Mitigation of emerging implications of climate change on food production systems. Food Res. Int. 2020, 134, 109256. [Google Scholar] [CrossRef]
- IPCC. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse GAS fluxes in Terrestrial Ecosystems; Shukla, P.R., Skea, J., Buendia, E.C., Masson-Delmotte, V., Pörtner, H.-O., Roberts, D.C., Zhai, P., Slade, R., Connors, S., van Diemen, R., et al., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2019; 896p. [Google Scholar] [CrossRef]
- Godfray, H.C.J.; Aveyard, P.; Garnett, T.; Hall, J.W.; Key, T.J.; Lorimer, J.; Pierrehumbert, R.T.; Scarborough, P.; Springmann, M.; Jebb, S.A. Meat consumption, health, and the environment. Science 2018, 361, aam5324. [Google Scholar] [CrossRef]
- Rust, N.A.; Ridding, L.; Ward, C.; Clark, B.; Kehoe, L.; Dora, M.; Whittingham, M.J.; McGowan, P.; Chaudhary, A.; Reynolds, C.J.; et al. How to transition to reduced-meat diets that benefit people and the planet. Sci. Total Environ. 2020, 718, 137208. [Google Scholar] [CrossRef]
- Aiking, H.; de Boer, J.J. The next protein transition. Trends Food Sci. Technol. 2020, 105, 515–522. [Google Scholar] [CrossRef]
- Post, M.J. Cultured meat from stem cells: Challenges and prospects. Meat Sci. 2012, 92, 297–301. [Google Scholar] [CrossRef]
- Tuomisto, H.L.; Teixeira de Mattos, M.J.J. Environmental impacts of cultured meat production. Environ. Sci. Technol. 2011, 45, 6117–6123. [Google Scholar] [CrossRef] [PubMed]
- Behera, R.; Adhikary, L.J. Review on cultured meat: Ethical alternative to animal industrial farming. Food Res. 2023, 7, 42–51. [Google Scholar] [CrossRef]
- Bryant, C.; Dillard, C.J. The impact of framing on acceptance of cultured meat. Front. Nutr. 2019, 6, 103. [Google Scholar] [CrossRef]
- Pakseresht, A.; Ahmadi Kaliji, S.; Canavari, M. Review of factors affecting consumer acceptance of cultured meat. Appetite 2022, 170, 105829. [Google Scholar] [CrossRef]
- Cameron, B.; O’Neill, S.; Specht, L.; Derbes, E.; Szejda, K.J.W.D. State of the Industry Report: Cell-Based Meat; Good Food Institute: Washington, DC, USA, 2019. [Google Scholar]
- Claire, B.; Michael, C.; Madeline, C.; Daniel, G.; EmmaI, G.; Sharyn, M.; Maille, O.D.; Ben, P.; Elliot, S.; Sheila, V. 2022 State of the Industry Report: Cultivated Meat and Seafood; Good Food Institute: Washington, DC, USA, 2022; p. 95. [Google Scholar]
- Verbeke, W.; Marcu, A.; Rutsaert, P.; Gaspar, R.; Seibt, B.; Fletcher, D.; Barnett, J.J. ‘Would you eat cultured meat?’: Consumers’ reactions and attitude formation in Belgium, Portugal and the United Kingdom. Meat Sci. 2015, 102, 49–58. [Google Scholar] [CrossRef]
- Wilks, M.; Phillips, C.J. Attitudes to in vitro meat: A survey of potential consumers in the United States. PLoS ONE 2017, 12, e0171904. [Google Scholar] [CrossRef]
- Verbeke, W.; Sans, P.; Van Loo, E.J. Challenges and prospects for consumer acceptance of cultured meat. J. Integr. Agric. 2015, 14, 285–294. [Google Scholar] [CrossRef]
- Mancini, M.C.; Antonioli, F. Exploring consumers’ attitude towards cultured meat in Italy. Meat Sci. 2019, 150, 101–110. [Google Scholar] [CrossRef]
- Weinrich, R.; Strack, M.; Neugebauer, F.J. Consumer acceptance of cultured meat in Germany. Meat Sci. 2020, 162, 107924. [Google Scholar] [CrossRef]
- Slade, P. If you build it, will they eat it? Consumer preferences for plant-based and cultured meat burgers. Appetite 2018, 125, 428–437. [Google Scholar] [CrossRef]
- Bryant, C.; Barnett, J. Consumer Acceptance of Cultured Meat: An Updated Review (2018–2020). Appl. Sci. 2020, 10, 5201. [Google Scholar] [CrossRef]
- Graça, J.; Calheiros, M.M.; Oliveira, A.J. Moral disengagement in harmful but cherished food practices? An exploration into the case of meat. J. Agric. Environ. Ethics 2014, 27, 749–765. [Google Scholar] [CrossRef]
- Graça, J.; Calheiros, M.M.; Oliveira, A. Attached to meat? (Un)Willingness and intentions to adopt a more plant-based diet. Appetite 2015, 95, 113–125. [Google Scholar] [CrossRef]
- Chen, M.F. Consumer food choice motives and willingness to try plant-based meat: Moderating effect of meat attachment. Br. Food J. 2024, 126, 1301–1324. [Google Scholar] [CrossRef]
- Roozen, I.; Raedts, M. What determines omnivores’ meat consumption and their willingness to reduce the amount of meat they eat? Food Nutr. 2023, 29, 347–355. [Google Scholar] [CrossRef]
- Auf, M.A.A.; Meddour, H.; Saoula, O.; Majid, A.H.; Research, R.M. Consumer buying behaviour: The roles of price, motivation, perceived culture importance, and religious orientation. JBRMR 2018, 12, 177–186. [Google Scholar] [CrossRef]
- Bogueva, D.; Marinova, D.J. Cultured meat and Australia’s generation Z. Front Nutr. 2020, 7, 148. [Google Scholar] [CrossRef]
- Alhariri, M.; Al-Mazeedi, H.M.M. Halal Food Production in the Arab World. In The Halal Food Handbook; John Wiley & Sons: Hoboken, NJ, USA, 2020; pp. 353–367. [Google Scholar] [CrossRef]
- Bonne, K.; Verbeke, W. Religious values informing halal meat production and the control and delivery of halal credence quality. Agric. Hum. Values 2008, 25, 35–47. [Google Scholar] [CrossRef]
- Izhar Ariff Mohd Kashim, M.; Abdul Haris, A.A.; Abd Mutalib, S.; Anuar, N.; Shahimi, S. Scientific and Islamic perspectives in relation to the Halal status of cultured meat. Saudi J. Biol. Sci. 2023, 30, 103501. [Google Scholar] [CrossRef]
- DinarStandard. State of the Global Islamic Economy Report: Unlocking Opportunity. Available online: https://www.dinarstandard.com/post/state-of-the-global-islamic-economy-report-2022 (accessed on 9 September 2023).
- Tait, P.R.; Saunders, C.M.; Dalziel, P.C.; Rutherford, P.; Driver, T.; Guenther, M. United Arab Emirates Beef Consumer Consumption Behaviours and Product Preferences: A Latent Class Analysis; AERU Research Report; Lincoln University: Lincoln, New Zealand, 2020. [Google Scholar]
- Bakhsh, A.; Lee, S.J.; Lee, E.Y.; Hwang, Y.H.; Joo, S. Traditional plant-based meat alternatives, current, and future perspective: A review. JALS 2021, 55, 1–10. [Google Scholar] [CrossRef]
- Darby, S.J.; Hammond, G.P.; Wu, J. Briefing: Stocktaking global warming: The outcomes of the 2023 Dubai Climate Summit (COP28). Proc. Inst. Civ. Eng. Energy 2024, 177, 193–204. [Google Scholar] [CrossRef]
- Raosoft. Available online: http://www.raosoft.com/samplesize.html (accessed on 6 March 2024).
- Bryant, C.; Szejda, K.; Parekh, N.; Deshpande, V.; Tse, B. A Survey of Consumer Perceptions of Plant-Based and Clean Meat in the USA, India, and China. Front. Sustain. Food Syst. 2019, 3, 11. [Google Scholar] [CrossRef]
- Dowsett, E.; Semmler, C.; Bray, H.; Ankeny, R.A.; Chur-Hansen, A. Neutralising the meat paradox: Cognitive dissonance, gender, and eating animals. Appetite 2018, 123, 280–288. [Google Scholar] [CrossRef]
- Profeta, A.; Baune, M.C.; Smetana, S.; Bornkessel, S.; Broucke, K.; Van Royen, G.; Enneking, U.; Weiss, J.; Heinz, V.; Hieke, S.J. Preferences of german consumers for meat products blended with plant-based proteins. Sustainability 2021, 13, 650. [Google Scholar] [CrossRef]
- U.S Department of State. United Arab Emirates 2019 International Religious Freedom Report 2019. Available online: https://www.state.gov/reports/2019-report-on-international-religious-freedom/united-arab-emirates/#! (accessed on 29 November 2024).
- Erhardt, J.; Olsen, A. Meat Reduction in 5 to 8 Years Old Children—A Survey to Investigate the Role of Parental Meat Attachment. Foods 2021, 10, 1756. [Google Scholar] [CrossRef]
- Weir, C.B.; Jan, A. BMI classification percentile and cut off points. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2019. [Google Scholar]
- Osaili, T.M.; Obaid, R.S.; Alkayyali, S.A.I.; Ayman, H.; Bunni, S.M.; Alkhaled, S.B.; Hasan, F.; Mohamad, M.N.; Cheikh Ismail, L. Consumers’ knowledge and attitudes about food additives in the UAE. PLoS ONE 2023, 18, e0282495. [Google Scholar] [CrossRef]
- Valente, J.; Fiedler, R.A.; Sucha Heidemann, M.; Molento, C.F. First glimpse on attitudes of highly educated consumers towards cell-based meat and related issues in Brazil. PLoS ONE 2019, 14, e0221129. [Google Scholar] [CrossRef]
- Osaili, T.M.; Obaid, R.S.; Alqutub, R.; Akkila, R.; Habil, A.; Dawoud, A.; Duhair, S.; Hasan, F.; Hashim, M.; Ismail, L.C.; et al. Food Wastage Attitudes among the United Arab Emirates Population: The Role of Social Media. Sustainability 2022, 14, 1870. [Google Scholar] [CrossRef]
- The Nielsen Company. Ingredient and Dining Out Trends Around the World. 2016. Available online: https://ilmanagement.it/wp-content/uploads/2016/09/qui2.pdf (accessed on 29 November 2024).
- Al-Mohaithef, M. Prevalence of vegan/vegetarian diet and eating behavior among Saudi adults and its correlation with body mass index: A cross-sectional study. Front. Nutr. 2022, 9, 966629. [Google Scholar] [CrossRef]
- Graça, J.; Oliveira, A.; Calheiros, M.M. Meat, beyond the plate. Data-driven hypotheses for understanding consumer willingness to adopt a more plant-based diet. Appetite 2015, 90, 80–90. [Google Scholar] [CrossRef]
- Basarir, A.J. An almost ideal demand system analysis of meat demand in UAE. Bulg. J. Agric. Sci. 2013, 19, 32–39. [Google Scholar]
- Makansi, N.; Allison, P.; Awad, M.; Bedos, C.J. Fruit and vegetable intake among Emirati adolescents: A mixed methods study. East Mediterr Health J. 2018, 24, 653–663. [Google Scholar] [CrossRef]
- Circus, V.E.; Robison, R. Exploring perceptions of sustainable proteins and meat attachment. Br. Food J. 2019, 121, 533–545. [Google Scholar] [CrossRef]
- Parlasca, M.C.; Qaim, M. Meat Consumption and Sustainability. Annu. Rev. Resour. Econ. 2022, 14, 17–41. [Google Scholar] [CrossRef]
- Meyer, N.; Reguant-Closa, A. “Eat as If You Could Save the Planet and Win!” Sustainability Integration into Nutrition for Exercise and Sport. Nutrients 2017, 9, 412. [Google Scholar] [CrossRef]
- Ho, S.S.; Ou, M.; Vijayan, A.V. Halal or not? Exploring Muslim perceptions of cultured meat in Singapore. Front. Sustain. Food Syst. 2023, 7, 1127164. [Google Scholar] [CrossRef]
- Hamdan, M.N.; Post, M.J.; Ramli, M.A.; Mustafa, A.R. Cultured Meat in Islamic Perspective. J. Relig. Health 2018, 57, 2193–2206. [Google Scholar] [CrossRef]
- Bryant, C.; van Nek, L.; Rolland, N.C.M. European Markets for Cultured Meat: A Comparison of Germany and France. Foods 2020, 9, 1152. [Google Scholar] [CrossRef]
- Mancini, M.C.; Antonioli, F. To What Extent Are Consumers’ Perception and Acceptance of Alternative Meat Production Systems Affected by Information? The Case of Cultured Meat. Animals 2020, 10, 656. [Google Scholar] [CrossRef]
- Wilks, M.; Phillips, C.J.C.; Fielding, K.; Hornsey, M.J. Testing potential psychological predictors of attitudes towards cultured meat. Appetite 2019, 136, 137–145. [Google Scholar] [CrossRef]
- Saied, A.A.; Chandran, D.; Chopra, H.; Dey, A.; Emran, T.B.; Dhama, K. Cultivated meat could aid in reducing global antimicrobial resistance burden—Producing meat without antibiotics as a safer food system for the future. Int. Surg. J. 2023, 109, 189–190. [Google Scholar] [CrossRef] [PubMed]
- Dupont, J.; Fiebelkorn, F. Attitudes and acceptance of young people toward the consumption of insects and cultured meat in Germany. Food Qual. 2020, 85, 103983. [Google Scholar] [CrossRef]
- Lupton, D.; Turner, B. Food of the Future? Consumer Responses to the Idea of 3D-Printed Meat and Insect-Based Foods. Food Foodw. 2018, 26, 269–289. [Google Scholar] [CrossRef]
- Boereboom, A.; Sheikh, M.; Islam, T.; Achirimbi, E.; Vriesekoop, F.J.F.F. Brits and British Muslims and their perceptions of cultured meat: How big is their willingness to purchase? Food Front. 2022, 3, 529–540. [Google Scholar] [CrossRef]
- Bryant, C.J.; Anderson, J.E.; Asher, K.E.; Green, C.; Gasteratos, K. Strategies for overcoming aversion to unnaturalness: The case of clean meat. Meat Sci. 2019, 154, 37–45. [Google Scholar] [CrossRef]
- Żukiewicz-Sobczak, W.; Wróblewska, P.; Zwoliński, J.; Chmielewska-Badora, J.; Adamczuk, P.; Krasowska, E.; Zagórski, J.; Oniszczuk, A.; Piątek, J.; Silny, W.J.A.; et al. Obesity and poverty paradox in developed countries. Ann. Agric. Environ. Med. 2014, 21, 590–594. [Google Scholar] [CrossRef]
- Piochi, M.; Micheloni, M.; Torri, L. Effect of informative claims on the attitude of Italian consumers towards cultured meat and relationship among variables used in an explicit approach. Food Res. Int. 2022, 151, 110881. [Google Scholar] [CrossRef]
- Hocquette, A.; Lambert, C.; Sinquin, C.; Peterolff, L.; Wagner, Z.; Bonny, S.P.; Lebert, A.; Hocquette, J. Educated consumers don’t believe artificial meat is the solution to the problems with the meat industry. J. Integr. Agric. 2015, 14, 273–284. [Google Scholar] [CrossRef]
- Siegrist, M.; Hartmann, C. Perceived naturalness, disgust, trust and food neophobia as predictors of cultured meat acceptance in ten countries. Appetite 2020, 155, 104814. [Google Scholar] [CrossRef]
- Seffen, A.E.; Dohle, S. What motivates German consumers to reduce their meat consumption? Identifying relevant beliefs. Appetite 2023, 187, 106593. [Google Scholar] [CrossRef]
- Kesselstatt, S.G. Nourishing Change: Gender Perspectives on Meat Consumption and the Path to Sustainable Eating. Doctoral Dissertation, Universidade Católica Portuguesa, Lisboa, Portugal, 2 January 2024. [Google Scholar]
- Tucker, C.A. The significance of sensory appeal for reduced meat consumption. Appetite 2014, 81, 168–179. [Google Scholar] [CrossRef] [PubMed]
- UAE: Lab-Grown Meat Capabilities to Be Explored in Collaboration Between AGWA, Believer Meats. Available online: https://www.khaleejtimes.com/uae/uae-lab-grown-meat-capabilities-to-be-explored-in-collaboration-between-agwa-believer-meats (accessed on 20 December 2024).
- Wu, M.J.; Zhao, K.; Fils-Aime, F. Response rates of online surveys in published research: A meta-analysis. CHB Rep. 2022, 7, 100206. [Google Scholar] [CrossRef]
Sociodemographic Variable | Categories | n | % |
---|---|---|---|
Sex | Male | 167 | 28.9 |
Female | 410 | 71.1 | |
Age | 30.75 ± 11.54 years * | ||
Age categories | <30 years old | 349 | 60.5 |
30–50 years old | 186 | 32.2 | |
>50 years old | 42 | 7.3 | |
Educational level | Diploma and below | 107 | 18.5 |
BSc | 343 | 59.4 | |
MSc/PhD | 127 | 22.0 | |
Employment status | Employed | 292 | 50.6 |
Unemployed | 89 | 15.4 | |
Student | 196 | 34.0 | |
Marital status | Single | 330 | 57.2 |
Ever married | 247 | 42.8 | |
Nationality | Gulf Cooperation Council (GCC) | 219 | 38.0 |
Other Arabs | 139 | 24.1 | |
Asia | 121 | 20.9 | |
Africa, Europe, and America | 98 | 17.0 | |
Monthly household income (AED) ** | <10,000 | 149 | 25.8 |
10,000–20,000 | 142 | 24.6 | |
20,000–30,000 | 139 | 24.1 | |
>30,000 | 147 | 25.5 | |
BMI | 25.47 ± 5.21 * | ||
BMI category a (kg/m2) | Underweight (<18.0) | 36 | 6.2 |
Normal (18.0–24.9) | 260 | 45.1 | |
Overweight (25.0–29.9) | 178 | 30.8 | |
Obese (>30) | 103 | 17.9 |
n | % | ||
---|---|---|---|
Meat consumption pattern | Meat-eating (red meat, poultry, seafood) | 497 | 86.1 |
Eat white meat only (poultry—chicken, turkey) | 56 | 9.7 | |
Pescatarian (only seafood) | 9 | 1.6 | |
Vegetarian and vegan | 15 | 2.6 | |
Meat consumption in meals (multiple choice question) | Breakfast | 39 | 6.8 |
Lunch | 520 | 90.1 | |
Dinner | 347 | 60.1 | |
Snacks | 32 | 5.5 | |
I do not eat meat in any meal | 16 | 2.8 |
MAQ Items Included | MAQ Statements | Strongly Disagree n (%) | Somewhat Disagree n (%) | Neutral n (%) | Somewhat Agree n (%) | Strongly Agree n (%) |
---|---|---|---|---|---|---|
MAQ-1 | To eat meat is one of the good pleasures in life | 29 (5.1) | 40 (6.9) | 123 (21.3) | 261 (45.2) | 124 (21.5) |
MAQ-2 | Meat is irreplaceable in my diet | 38 (6.6) | 99 (17.2) | 112 (19.4) | 208 (36.0) | 120 (20.8) |
MAQ-3 | I feel bad when I think of eating meat (R) | 18 (3.1) | 39 (6.8) | 80 (13.9) | 184 (31.9) | 256 (44.4) |
MAQ-4 | I love meals with meat | 25 (4.3) | 35 (6.1) | 128 (22.2) | 252 (43.7) | 137 (23.7) |
MAQ-5 | To eat meat is disrespectful towards life and the environment (R) | 39 (6.8) | 76 (13.2) | 142 (24.6) | 179 (31.0) | 141 (24.4) |
MAQ-6 | I’m a big fan of meat | 23 (4.0) | 112 (19.4) | 65 (11.3) | 244 (42.3) | 133 (23.1) |
MAQ-7 | If I couldn’t eat meat, I would feel weak | 78 (13.5) | 198 (34.3) | 140 (24.3) | 123 (21.3) | 38 (6.6) |
MAQ-8 | If I were forced to stop eating meat, I would feel sad | 43 (7.5) | 101 (17.5) | 115 (19.9) | 201 (34.8) | 117 (20.3) |
MAQ-9 | Meat reminds me of diseases (R) | 28 (4.9) | 91 (15.8) | 156 (27.0) | 198 (34.3) | 104 (18.0) |
MAQ-10 | By eating meat, I’m reminded of the death and suffering of animals (R) | 11 (1.9) | 44 (7.6) | 85 (14.7) | 169 (29.3) | 268 (46.4) |
MAQ-11 | Eating meat is a natural and undisputable practice | 18 (3.1) | 21 (3.6) | 83 (14.4) | 258 (44.7) | 197 (34.1) |
MAQ-12 | I don’t picture myself without eating meat regularly | 40 (6.9) | 97 (16.8) | 122 (21.1) | 178 (30.8) | 140 (24.3) |
MAQ-13 | I would feel fine with a meatless diet (R) | 36 (6.2) | 95 (16.5) | 132 (22.9) | 180 (31.2) | 134 (23.2) |
MAQ-14 | A good steak is without comparison | 29 (5.0) | 46 (8.0) | 124 (21.5) | 237 (41.1) | 141 (24.4) |
MAQ total score = 50.59 ± 10.24 |
Not Willing at All n (%) | Somewhat Willing n (%) | Moderately Willing n (%) | Very Willing n (%) | Absolutely Willing n (%) | ||
---|---|---|---|---|---|---|
Willingness to try cultured meat | 128 (22.2) | 114 (19.8) | 131 (22.7) | 125 (21.7) | 79 (13.6) | |
Willingness to purchase cultured meat regularly | 192 (33.3) | 105 (18.2) | 117 (20.3) | 99 (17.2) | 64 (11.0) | |
Willingness to eat cultured meat as a replacement for conventional meat | 275 (47.7) | 125 (21.7) | 112 (19.4) | 37 (6.4) | 28 (4.8) | |
Willingness to pay a higher price for cultured meat than conventional meat | 362 (62.7) | 93 (16.1) | 75 (13.0) | 36 (6.2) | 11 (2.0) | |
Willingness to eat cultured meat as a replacement for meat substitutes (i.e., made from soy) | 281 (48.7) | 118 (20.5) | 102 (17.7) | 50 (8.7) | 26 (4.4) | |
Willingness mean score | 11.07 ± 4.76 * | |||||
Willingness categories (mean score) | Less willingness (<11.07) | 310 (53.7%) | ||||
More willingness (>11.07) | 267 (46.3%) |
Sociodemographic Variable | p-Value Comparison by Total Score Mean ± SD | Low MAQ n (%) | Medium MAQ n (%) | High MAQ n (%) | p-Value Comparison by Categories | |
---|---|---|---|---|---|---|
Sex | Male (n = 167) | 52.31 ± 10.21 | 39 (25.8) | 68 (23.7) | 60 (43.2) | <0.001 |
Female (n = 410) | 49.89 ± 10.17 | 112 (74.2) | 219 (76.3) | 79 (56.8) | ||
p = 0.010 | ||||||
Age | <30 years old | 50.81 ± 10.15 | 86 (57.0) | 182 (63.4) | 81 (58.3) | 0.191 |
30–50 years old | 50.81 ± 10.13 | 48 (31.8) | 88 (30.7) | 50 (36.0) | ||
>50 years old | 47.79 ± 11.18 | 17 (11.3) | 17 (5.9) | 8 (5.8) | ||
p = 0.184 | ||||||
Educational level | Diploma and below | 51.18 ± 9.49 | 27 (17.9) | 56 (19.5) | 24 (17.3) | 0.007 |
BSc | 50.13 ± 10.07 | 87 (57.6) | 185 (64.5) | 71 (51.1) | ||
MSc/PhD | 51.32 ± 11.25 | 37 (24.5) | 46 (16.0) | 44 (31.7) | ||
p = 0.428 | ||||||
Employment status | Employed (n = 292) | 50.58 ± 10.86 | 80 (53.0) | 136 (47.4) | 76 (54.7) | 0.360 |
Unemployed (n = 89) | 50.00 ± 9.87 | 26 (17.2) | 42 (14.6) | 21 (15.1) | ||
Students (n = 196) | 50.86 ± 9.44 | 45 (29.8) | 109 (38.0) | 42 (30.2) | ||
p = 0.805 | ||||||
Marital status | Single (n = 330) | 50.86 ± 9.95 | 83 (55.0) | 171 (59.6) | 76 (54.7) | 0.513 |
Ever married (n = 247) | 50.22 ± 10.61 | 68 (45.0) | 116 (40.4) | 63 (45.3) | ||
p = 0.456 | ||||||
Nationality | GCC (n = 219) | 50.68 ± 9.71 a | 59 (39.1) | 111 (38.7) | 49 (35.3) | 0.094 |
Levant (n = 139) | 51.35 ± 9.95 a | 35 (23.2) | 66 (23.0) | 38 (27.3) | ||
Asia (n = 121) | 51.47 ± 9.54 a | 22 (14.6) | 69 (24.0) | 30 (21.6) | ||
Africa, Europe, and America (n = 98) | 47.56 ± 12.65 b | 35 (23.1) | 41 (14.3) | 22 (15.9) | ||
p = 0.003 | ||||||
Monthly household income (AED) | <10,000 (n = 149) | 50.98 ± 10.39 | 49 (32.4) | 65 (22.7) | 35 (25.2) | 0.377 |
10,000–20,000 (n = 142) | 51.45 ± 9.46 | 29 (19.2) | 81 (28.2) | 32 (23.0) | ||
20,000–30,000 (n = 139) | 50.94 ± 9.62 | 34 (22.5) | 72 (25.1) | 33 (23.7) | ||
>30,000 (n = 147) | 50.31 ± 11.39 | 39 (25.8) | 69 (24.0) | 39 (28.1) | ||
p = 0.701 | ||||||
BMI categories | Underweight (n = 36) | 46.58 ± 12.52 a | 14 (9.3) | 19 (6.6) | 3 (2.2) | 0.078 |
Normal (n = 260) | 50.26 ± 10.23 b | 72 (47.7) | 127 (44.3) | 61 (43.9) | ||
Overweight (n = 178) | 50.84 ± 10.15 b | 47 (31.1) | 83 (28.9) | 48 (34.5) | ||
Obese (n = 103) | 52.37 ± 9.17 b | 18 (11.9) | 58 (20.2) | 27 (19.4) | ||
p = 0.029 * |
Sociodemographic Variable | p-Value Comparison by Total Score Mean ± SD | Less Willingness n (%) | More Willingness n (%) | p-Value Comparison by Categories | |
---|---|---|---|---|---|
Sex | Male (n = 167) | 11.15 ± 5.17 | 89 (28.7) | 78 (29.2) | 0.483 |
Female (n = 410) | 11.04 ± 4.58 | 221 (71.3) | 247 (70.8) | ||
p = 0.796 | |||||
Age | ≤30 years old (n = 349) | 11.50 ± 4.89 | 177 (57.1) | 172 (64.4) | 0.044 |
>30 years old (n = 229) | 10.41 ± 4.48 | 133 (42.9) | 95 (35.6) | ||
p = 0.005 | |||||
Educational level | Diploma and below (n = 107) | 12.07 ± 5.00 | 47 (15.2) | 60 (22.5) | 0.016 |
University graduate (n = 470) | 10.84 ± 4.67 | 263 (84.8) | 207 (77.5) | ||
p = 0.022 | |||||
Employment status | Employed (n = 292) | 11.01 ± 4.64 | 158 (51.0) | 134 (50.2) | 0.752 |
Unemployed (n = 89) | 10.91 ± 5.10 | 49 (15.8) | 40 (15.0) | ||
Students (n = 196) | 11.22 ± 4.78 | 103 (33.2) | 93 (34.8) | ||
p = 0.841 | |||||
Marital status | Single (n = 330) | 11.40 ± 4.91 | 171 (55.2) | 159 (59.6) | 0.410 |
Ever married (n = 247) | 10.62 ± 4.51 | 139 (44.8) | 108 (40.4) | ||
p = 0.051 | |||||
Nationality | Arab (n = 406) | 11.54 ± 4.48 | 200 (64.5) | 206 (77.2) | <0.001 |
Non-Arab (n = 171) | 9.95 ± 5.20 | 110 (35.5) | 61 (22.8) | ||
p = < 0.001 | |||||
Monthly household income (AED) | <10,000 (n = 149) | 11.09 ± 4.59 | 74 (23.9) | 75 (28.1) | 0.506 |
10,000–20,000 (n = 142) | 10.88 ± 4.81 | 78 (25.2) | 64 (24.0) | ||
20,000–30,000 (n = 139) | 10.92 ± 4.89 | 81 (26.1) | 58 (21.7) | ||
>30,000 (n = 147) | 11.37 ± 4.77 | 77 (24.8) | 70 (26.2) | ||
p = 0.810 | |||||
BMI categories | Underweight (n = 36) | 11.47 ± 5.05 | 17 (5.5) | 19 (7.1) | 0.101 |
Normal (n = 260) | 10.66 ± 4.63 | 153 (49.4) | 107 (40.1) | ||
Overweight (n = 178) | 10.99 ± 4.76 | 93 (30.0) | 85 (31.8) | ||
Obese (n = 103) | 12.10 ± 4.85 | 47 (15.2) | 56 (21.0) | ||
p = 0.070 |
Variable | MAQ Total Score | Willingness Total Score |
---|---|---|
Sex (Ref: female) Male | 0.107 (−4.26, −0.58) p = 0.010 | 0.011 (−0.970, 0.745) p = 0.796 |
Age (Ref: >30 years) ≤30 years | 0.027 (−2.27, 1.16) p = 0.525 | 0.113 (−1.885, −0.303) p = 0.007 |
Educational level: (Ref: university) Diploma and below | 0.028 (−2.88, 1.43) p = 0.508 | 0.100 (−2.219, −0.227) p = 0.016 |
Employment status (Ref: employed) Unemployed | (−1.66, 1.69) p = 0.987 | 0.019 (−0.331, 0.529) p = 0.652 |
Marital status (Ref: Single) Ever married | 0.031 (−2.334, 1.050) p = 0.456 | 0.081 (−1.563, 0.004) p = 0.051 |
Nationality (Ref: Non-Arab) Arab | 0.029 (−2.492, 1.176) p = 0.481 | 0.152 (−2.428, −0.744) p < 0.001 |
Household income (ref: less than 20,000 AED) 20,000 AED and above | 0.006 (−1.562, 1.788) p = 0.895 | 0.021 (−0.254, 0.435) p = 0.608 |
BMI (Ref: Normal and underweight) Overweight and obese | 0.078 (−0.080, 3.262) p = 0.062 | 0.079 (−0.015, 0.899) p = 0.058 |
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. |
© 2024 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
Khaleel, S.; Osaili, T.; Abdelrahim, D.N.; Zeb, F.; Naja, F.; Radwan, H.; Faris, M.E.; Hasan, H.; Cheikh Ismail, L.; Obaid, R.S.; et al. Attachment to Meat and Willingness Towards Cultured Alternatives Among Consumers: A Cross-Sectional Study in the UAE. Nutrients 2025, 17, 28. https://doi.org/10.3390/nu17010028
Khaleel S, Osaili T, Abdelrahim DN, Zeb F, Naja F, Radwan H, Faris ME, Hasan H, Cheikh Ismail L, Obaid RS, et al. Attachment to Meat and Willingness Towards Cultured Alternatives Among Consumers: A Cross-Sectional Study in the UAE. Nutrients. 2025; 17(1):28. https://doi.org/10.3390/nu17010028
Chicago/Turabian StyleKhaleel, Sharfa, Tareq Osaili, Dana N. Abdelrahim, Falak Zeb, Farah Naja, Hadia Radwan, MoezAlIslam E. Faris, Hayder Hasan, Leila Cheikh Ismail, Reyad S. Obaid, and et al. 2025. "Attachment to Meat and Willingness Towards Cultured Alternatives Among Consumers: A Cross-Sectional Study in the UAE" Nutrients 17, no. 1: 28. https://doi.org/10.3390/nu17010028
APA StyleKhaleel, S., Osaili, T., Abdelrahim, D. N., Zeb, F., Naja, F., Radwan, H., Faris, M. E., Hasan, H., Cheikh Ismail, L., Obaid, R. S., Hashim, M., Bani Odeh, W. A., Mohd, K. A., Al Ali, H. J., & Holley, R. A. (2025). Attachment to Meat and Willingness Towards Cultured Alternatives Among Consumers: A Cross-Sectional Study in the UAE. Nutrients, 17(1), 28. https://doi.org/10.3390/nu17010028