What Drives Pet Food Choices? A Systematic Literature Review
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.1.1. Data Source
2.1.2. Search Keywords
2.2. Eligibility Criteria
2.3. Search Results
2.3.1. Selected Articles Characterisation
2.3.2. Research Methodologies Applied
3. Results
3.1. Intrinsic Product Characteristics
3.2. Extrinsic Product Characteristics
3.3. Situational Factors
3.4. Sociocultural Factors
3.5. Psychological Factors
3.6. Biological and Physiological Factors
4. Discussion
4.1. Key Drivers of Consumer Behaviour
4.2. Research Context
4.3. Theoretical and Methodological Considerations
4.4. Limitations and Future Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- World Population Review. Pet Ownership Statistics by Country 2024. Available online: https://worldpopulationreview.com/country-rankings/pet-ownership-statistics-by-country (accessed on 9 July 2024).
- Statista. Pet Food–Worldwide. Available online: https://www.statista.com/outlook/cmo/food/pet-food/worldwide (accessed on 10 July 2024).
- Mintel. The Future of Pet Food 2024. Available online: https://store.mintel.com/report/the-future-of-pet-food (accessed on 9 July 2024).
- Blake, W. JustFoodForDogs Opens UWS Kitchen. Available online: https://www.ilovetheupperwestside.com/signage-up-justfoodfordogs (accessed on 8 October 2024).
- Yildiz, D. Global Pet Food Market. Available online: https://www.feedandadditive.com/global-pet-food-market/ (accessed on 15 July 2024).
- Wright, J.D.; Kritz-Silverstein, D.; Morton, D.J.; Wingard, D.L.; Barrett-Connor, E. Pet Ownership and Blood Pressure in Old Age. Epidemiology 2007, 18, 613–618. [Google Scholar] [CrossRef]
- Anderson, W.P.; Reid, C.M.; Jennings, G.L. Pet Ownership and Risk Factors for Cardiovascular Disease. Med. J. Aust. 1992, 157, 298–301. [Google Scholar] [CrossRef]
- Dembicki, D.; Anderson, J. Pet Ownership May Be a Factor in Improved Health of the Elderly. J. Nutr. Elder. 1996, 15, 15–31. [Google Scholar] [CrossRef]
- Levine, G.N.; Allen, K.; Braun, L.T.; Christian, H.E.; Friedmann, E.; Taubert, K.A.; Thomas, S.A.; Wells, D.L.; Lange, R.A. Pet Ownership and Cardiovascular Risk. Circulation 2013, 127, 2353–2363. [Google Scholar] [CrossRef]
- Headey, B. Health Benefits and Health Cost Savings Due to Pets: Preliminary Estimates from an Australian National Survey. Soc. Indic. Res. 1999, 47, 233–243. [Google Scholar] [CrossRef]
- Cutt, H.; Giles-Corti, B.; Knuiman, M.; Timperio, A.; Bull, F. Understanding Dog Owners’ Increased Levels of Physical Activity: Results from RESIDE. Am. J. Public Health 2008, 98, 66–69. [Google Scholar] [CrossRef] [PubMed]
- Oka, K.; Shibata, A. Dog Ownership and Health-Related Physical Activity Among Japanese Adults. J. Phys. Act. Health 2009, 6, 412–418. [Google Scholar] [CrossRef] [PubMed]
- Engel, S.E.; Kiely, D.K.; Mitchell, S.L. Satisfaction with End-of-Life Care for Nursing Home Residents with Advanced Dementia. J. Am. Geriatr. Soc. 2006, 54, 1567–1572. [Google Scholar] [CrossRef]
- Timperio, A.; Salmon, J.; Chu, B.; Andrianopoulos, N. Is Dog Ownership or Dog Walking Associated with Weight Status in Children and Their Parents? Health Promot. J. Aust. 2008, 19, 60–63. [Google Scholar] [CrossRef] [PubMed]
- Coleman, K.J.; Rosenberg, D.E.; Conway, T.L.; Sallis, J.F.; Saelens, B.E.; Frank, L.D.; Cain, K. Physical Activity, Weight Status, and Neighborhood Characteristics of Dog Walkers. Prev. Med. 2008, 47, 309–312. [Google Scholar] [CrossRef]
- Lentino, C.; Visek, A.J.; McDonnell, K.; DiPietro, L. Dog Walking Is Associated With a Favorable Risk Profile Independent of a Moderate to High Volume of Physical Activity. J. Phys. Act. Health 2012, 9, 414–420. [Google Scholar] [CrossRef]
- Schuck, S.E.B.; Emmerson, N.A.; Fine, A.H.; Lakes, K.D. Canine-Assisted Therapy for Children With ADHD. J. Atten. Disord. 2015, 19, 125–137. [Google Scholar] [CrossRef]
- Majić, T.; Gutzmann, H.; Heinz, A.; Lang, U.E.; Rapp, M.A. Animal-Assisted Therapy and Agitation and Depression in Nursing Home Residents with Dementia: A Matched Case–Control Trial. Am. J. Geriatr. Psychiatry 2013, 21, 1052–1059. [Google Scholar] [CrossRef]
- Banks, M.R.; Banks, W.A. The Effects of Animal-Assisted Therapy on Loneliness in an Elderly Population in Long-Term Care Facilities. J. Gerontol. A Biol. Sci. Med. Sci. 2002, 57, M428–M432. [Google Scholar] [CrossRef]
- Brooks, H.L.; Rushton, K.; Lovell, K.; Bee, P.; Walker, L.; Grant, L.; Rogers, A. The Power of Support from Companion Animals for People Living with Mental Health Problems: A Systematic Review and Narrative Synthesis of the Evidence. BMC Psychiatry 2018, 18, 31. [Google Scholar] [CrossRef]
- Association for Pet Obesity Prevention. State of U.S. Pet Obesity: Moving from Awareness to Treatment. Available online: https://static1.squarespace.com/static/6425ec5d33eaaa634113b2d4/t/6454f61c0cad164860799c8f/1683289630779/2022+State+of+US+Pet+Obesity+Report.pdf (accessed on 7 October 2025).
- Montoya, M.; Péron, F.; Hookey, T.; Morrison, J.; German, A.J.; Gaillard, V.; Flanagan, J. Overweight and Obese Body Condition in ∼4.9 Million Dogs and ∼1.3 Million Cats Seen at Primary Practices across the USA: Prevalences by Life Stage from Early Growth to Senior. Prev. Vet. Med. 2025, 235, 106398. [Google Scholar] [CrossRef]
- UK Pet Food. UK Pet Obesity Report 2024. Available online: https://www.ukpetfood.org/spotlight-on-obesity/new-uk-pet-food-obesity-report-2024.html (accessed on 7 October 2025).
- Fleeman, L.; Barrett, R. Cushing’s Syndrome and Other Causes of Insulin Resistance in Dogs. Vet. Clin. N. Am. Small Anim. Pract. 2023, 53, 711–730. [Google Scholar] [CrossRef]
- Teng, K.T.; McGreevy, P.D.; Toribio, J.A.L.M.L.; Raubenheimer, D.; Kendall, K.; Dhand, N.K. Associations of Body Condition Score with Health Conditions Related to Overweight and Obesity in Cats. J. Small Anim. Pract. 2018, 59, 603–615. [Google Scholar] [CrossRef] [PubMed]
- Partington, C.; Hodgkiss-Geere, H.; Woods, G.R.T.; Dukes-McEwan, J.; Flanagan, J.; Biourge, V.; German, A.J. The Effect of Obesity and Subsequent Weight Reduction on Cardiac Structure and Function in Dogs. BMC Vet. Res. 2022, 18, 351. [Google Scholar] [CrossRef] [PubMed]
- Chiang, C.F.; Villaverde, C.; Chang, W.C.; Fascetti, A.J.; Larsen, J.A. Prevalence, Risk Factors, and Disease Associations of Overweight and Obesity in Cats That Visited the Veterinary Medical Teaching Hospital at the University of California, Davis from January 2006 to December 2015. Top. Companion Anim. Med. 2022, 47, 100620. [Google Scholar] [CrossRef] [PubMed]
- Brown, D.; Conzemius, M.G.; Shofer, F.S. Body Weight as a Predisposing Factor for Humeral Condylar Fractures, Cranial Cruciate Rupture and Intervertebral Disc Disease in Cocker Spaniels. Vet. Comp. Orthop. Traumatol. 1996, 09, 75–78. [Google Scholar]
- Lekcharoensuk, C.; Lulich, J.P.; Osborne, C.A.; Pusoonthornthum, R.; Allen, T.A.; Koehler, L.A.; Urlich, L.K.; Carpenter, K.A.; Swanson, L.L. Patient and Environmental Factors Associated with Calcium Oxalate Urolithiasis in Dogs. J. Am. Vet. Med. Assoc. 2000, 217, 515–519. [Google Scholar] [CrossRef]
- Liu, N.; Adams, V.J.; Kalmar, L.; Ladlow, J.F.; Sargan, D.R. Whole-Body Barometric Plethysmography Characterizes Upper Airway Obstruction in 3 Brachycephalic Breeds of Dogs. J. Vet. Intern. Med. 2016, 30, 853–865. [Google Scholar] [CrossRef]
- Montoya, M.; Morrison, J.A.; Arrignon, F.; Spofford, N.; Charles, H.; Hours, M.-A.; Biourge, V. Life Expectancy Tables for Dogs and Cats Derived from Clinical Data. Front. Vet. Sci. 2023, 10, 1082102. [Google Scholar] [CrossRef]
- Murphy, B.J.; Stevenson, M.A.; Mansfield, C.S. Bodyweight and Body Condition Scores of Australian British Shorthaired Cats, 2008–2017. Front. Vet. Sci. 2023, 10, 1241080. [Google Scholar] [CrossRef]
- Alexander, P.; Berri, A.; Moran, D.; Reay, D.; Rounsevell, M.D.A. The Global Environmental Paw Print of Pet Food. Glob. Environ. Change 2020, 65, 102153. [Google Scholar] [CrossRef]
- Su, B.; Martens, P. Environmental Impacts of Food Consumption by Companion Dogs and Cats in Japan. Ecol. Indic. 2018, 93, 1043–1049. [Google Scholar] [CrossRef]
- Yavor, K.M.; Lehmann, A.; Finkbeiner, M. Environmental Impacts of a Pet Dog: An LCA Case Study. Sustainability 2020, 12, 3394. [Google Scholar] [CrossRef]
- Okin, G.S. Environmental Impacts of Food Consumption by Dogs and Cats. PLoS ONE 2017, 12, e0181301. [Google Scholar] [CrossRef] [PubMed]
- Tranfield, D.; Denyer, D.; Smart, P. Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. Br. J. Manag. 2003, 14, 207–222. [Google Scholar] [CrossRef]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. Int. J. Surg. 2021, 88, 105906. [Google Scholar] [CrossRef]
- Zhang, Q.; Dhir, A.; Kaur, P. Circular Economy and the Food Sector: A Systematic Literature Review. Sustain. Prod. Consum. 2022, 32, 655–668. [Google Scholar] [CrossRef]
- Rozenkowska, K. Theory of Planned Behavior in Consumer Behavior Research: A Systematic Literature Review. Int. J. Consum. Stud. 2023, 47, 2670–2700. [Google Scholar] [CrossRef]
- Dhaliwal, A.; Singh, D.P.; Paul, J. The Consumer Behavior of Luxury Goods: A Review and Research Agenda. J. Strateg. Mark. 2020, 33, 66–92. [Google Scholar] [CrossRef]
- Pinney, J.; Costa-Font, M. A Model for Consumer Acceptance of Insect-Based Dog Foods among Adult UK Dog Owners. Animals 2024, 14, 1021. [Google Scholar] [CrossRef]
- Tu, A.Y.; Springer, C.M.; Albright, J.D. Evaluation of Characteristics Associated with Self-Identified Cat or Dog Preference in Pet Owners and Correlation of Preference with Pet Interactions and Care: An Exploratory Study. Animals 2024, 14, 2534. [Google Scholar] [CrossRef] [PubMed]
- Naughton, V.; Grzelak, T.; Mulhern, M.S.; Moffett, C.R.; Naughton, P.J. Association between Socio-Demographic Factors and Owners’ Beliefs and Attitudes to Pet Cats Fundamental Dietary and Physical Exercise Needs, in City of Belfast. Animals 2022, 12, 2645. [Google Scholar] [CrossRef]
- Prata, J.C. Survey of Pet Owner Attitudes on Diet Choices and Feeding Practices for Their Pets in Portugal. Animals 2022, 12, 2775. [Google Scholar] [CrossRef]
- Rombach, M.; Dean, D.L. Just Love Me, Feed Me, Never Leave Me: Understanding Pet Food Anxiety, Feeding and Shopping Behavior of Us Pet Owners in Covidian Times. Animals 2021, 11, 3101. [Google Scholar] [CrossRef]
- Rombach, M.; Dean, D.L. It Keeps the Good Boy Healthy from Nose to Tail: Understanding Pet Food Attribute Preferences of US Consumers. Animals 2021, 11, 3301. [Google Scholar] [CrossRef]
- Baquero, D.G.; Koppel, K.; Chambers, D.; Hołda, K.; Głogowski, R.; Chambers, E. Acceptability of Dry Dog Food Visual Characteristics by Consumer Segments Based on Overall Liking: A Case Study in Poland. Animals 2018, 8, 79. [Google Scholar] [CrossRef]
- Di Donfrancesco, B.; Koppel, K.; Swaney-Stueve, M.; Chambers IV, E. Consumer Acceptance of Dry Dog Food Variations. Animals 2014, 4, 313–330. [Google Scholar] [CrossRef]
- Pedrinelli, V.; Rossi, A.; Brunetto, M.A. Theory of Planned Behavior Applied to the Choice of Food with Preservatives by Owners and for Their Dogs. PLoS ONE 2024, 19, e0294044. [Google Scholar]
- Oven, A.; Yoxon, B.; Milburn, J. Investigating the Market for Cultivated Meat as Pet Food: A Survey Analysis. PLoS ONE 2022, 17, e0275009. [Google Scholar] [CrossRef] [PubMed]
- Banton, S.; Baynham, A.; Pezzali, J.G.; Von Massow, M.; Shoveller, A.K. Grains on the Brain: A Survey of Dog Owner Purchasing Habits Related to Grain-Free Dry Dog Foods. PLoS ONE 2021, 16, e0250806. [Google Scholar] [CrossRef]
- Dodd, S.A.S.; Cave, N.J.; Adolphe, J.L.; Shoveller, A.K.; Verbrugghe, A. Plant-Based (Vegan) Diets for Pets: A Survey of Pet Owner Attitudes and Feeding Practices. PLoS ONE 2019, 14, e0210806. [Google Scholar] [CrossRef]
- Nielson, S.A.; Khosa, D.K.; Clow, K.M.; Verbrugghe, A. Dog Caregivers’ Perceptions, Motivations, and Behaviours for Feeding Treats: A Cross Sectional Study. Prev. Vet. Med. 2023, 217, e105971. [Google Scholar] [CrossRef] [PubMed]
- Morgan, G.; Williams, N.; Schmidt, V.; Cookson, D.; Symington, C.; Pinchbeck, G. A Dog’s Dinner: Factors Affecting Food Choice and Feeding Practices for UK Dog Owners Feeding Raw Meat-Based or Conventional Cooked Diets. Prev. Vet. Med. 2022, 208, e105741. [Google Scholar] [CrossRef]
- White, G.A.; Ward, L.; Pink, C.; Craigon, J.; Millar, K.M. “Who’s Been a Good Dog?”—Owner Perceptions and Motivations for Treat Giving. Prev. Vet. Med. 2016, 132, 14–19. [Google Scholar] [CrossRef] [PubMed]
- Eagan, B.H.; Wang, S.; Hall, N.; Protopopova, A. Consumer Attitudes toward Bacteriophage Applications to Pet Food. Front. Vet. Sci. 2022, 9, e921508. [Google Scholar] [CrossRef]
- Conway, D.M.P.; Saker, K.E. Consumer Attitude Toward the Environmental Sustainability of Grain-Free Pet Foods. Front. Vet. Sci. 2018, 5, 170. [Google Scholar] [CrossRef] [PubMed]
- Koppel, K.; Suwonsichon, S.; Chambers, D.; Chambers, E. Determination of Intrinsic Appearance Properties That Drive Dry Dog Food Acceptance by Pet Owners in Thailand. J. Food Prod. Mark. 2018, 24, 830–845. [Google Scholar] [CrossRef]
- Kumcu, A.; Woolverton, A.E. Feeding Fido: Changing Consumer Food Preferences Bring Pets to the Table. J. Food Prod. Mark. 2015, 21, 213–230. [Google Scholar] [CrossRef]
- Michel, K.E.; Willoughby, K.N.; Abood, S.K.; Fascetti, A.J.; Fleeman, L.M.; Freeman, L.M.; Laflamme, D.P.; Bauer, C.; Kemp, B.L.E.; Doren, J.R. Van Attitudes of Pet Owners toward Pet Foods and Feeding Management of Cats and Dogs. J. Am. Vet. Med. Assoc. 2008, 233, 1699–1703. [Google Scholar] [CrossRef]
- Wakefield, L.A.; Shofer, F.S.; Michel, K.E. Evaluation of Cats Fed Vegetarian Diets and Attitudes of Their Caregivers. J. Am. Vet. Med. Assoc. 2006, 229, 70–73. [Google Scholar] [CrossRef]
- Suarez, L.; Peña, C.; Carretón, E.; Juste, M.C.; Bautista-Castaño, I.; Montoya-Alonso, J.A. Preferences of Owners of Overweight Dogs When Buying Commercial Pet Food. J. Anim. Physiol. Anim. Nutr. 2012, 96, 655–659. [Google Scholar] [CrossRef]
- Baptista da Silva, C.; Santos Neto, E.L.; Broeckx, B.J.G.; Ruiz-Suárez, N.; Eeckhout, M.; Hesta, M. Assessing Pet Owners’ Willingness to Embrace Insects in Pet Food. J. Anim. Physiol. Anim. Nutr. 2024, 108, 1833–1843. [Google Scholar] [CrossRef]
- Hobbs, L.; Shanoyan, A.; Wiley, Z.Z.; Aldrich, G. Analysis of Pet-Food Customer Postpurchase Experience Using Online Customer Reviews: Implications for Product and Marketing Strategies. Agribusiness 2023, 40, 885–907. [Google Scholar] [CrossRef]
- Vinassa, M.; Vergnano, D.; Valle, E.; Giribaldi, M.; Nery, J.; Prola, L.; Bergero, D.; Schiavone, A. Profiling Italian Cat and Dog Owners’ Perceptions of Pet Food Quality Traits. BMC Vet. Res. 2020, 16, 131. [Google Scholar] [CrossRef] [PubMed]
- Xiao, Y.; Wang, H.H.; Li, J. A New Market for Pet Food in China: Online Consumer Preferences and Consumption. Chin. Econ. 2021, 54, 430–440. [Google Scholar] [CrossRef]
- Lima, D.; Ramos, R.F.; Oliveira, P.M. Customer Satisfaction in the Pet Food Subscription-Based Online Services. Electron. Commer. Res. 2024, 24, 745–769. [Google Scholar] [CrossRef]
- Fantechi, T.; Califano, G.; Caracciolo, F.; Contini, C. Puppy Power: How Neophobia, Attitude towards Sustainability, and Animal Empathy Affect the Demand for Insect-Based Pet Food. Food Res. Int. 2024, 177, e113879. [Google Scholar] [CrossRef]
- Boya, U.O.; Dotson, M.J.; Hyatt, E.M. A Comparison of Dog Food Choice Criteria across Dog Owner Segments: An Exploratory Study. Int. J. Consum. Stud. 2015, 39, 74–82. [Google Scholar] [CrossRef]
- Kwak, M.K.; Cha, S.S. A Study on the Selection Attributes Affecting Pet Food Purchase: After COVID-19 Pandemic. Int. J. Food Prop. 2021, 24, 291–303. [Google Scholar] [CrossRef]
- Downes, M.J.; Devitt, C.; Downes, M.T.; More, S.J. Understanding the Context for Pet Cat and Dog Feeding and Exercising Behaviour among Pet Owners in Ireland: A Qualitative Study. Ir. Vet. J. 2017, 70, 29. [Google Scholar] [CrossRef] [PubMed]
- Morelli, G.; Marchesini, G.; Contiero, B.; Fusi, E.; Diez, M.; Ricci, R. A Survey of Dog Owners’ Attitudes toward Treats. J. Appl. Anim. Welf. Sci. 2020, 23, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Siddiqui, S.A.; Brunner, T.A.; Tamm, I.; van der Raad, P.; Patekar, G.; Alim Bahmid, N.; Aarts, K.; Paul, A. Insect-Based Dog and Cat Food: A Short Investigative Review on Market, Claims and Consumer Perception. J. Asia Pac. Entomol. 2023, 26, e102020. [Google Scholar] [CrossRef]
- Di Donfrancesco, B.; Koppel, K.; Aldrich, C.G. Pet and Owner Acceptance of Dry Dog Foods Manufactured with Sorghum and Sorghum Fractions. J. Cereal Sci. 2018, 83, 42–48. [Google Scholar] [CrossRef]
- Ye, H.; Bhatt, S.; Deutsch, J.; Suri, R. Is There a Market for Upcycled Pet Food? J. Clean. Prod. 2022, 343, e130960. [Google Scholar] [CrossRef]
- Salmani, Y.; Partovi, F.Y. The Validity Study of a Channel-Based Demand Estimation ANP Model. J. Multi-Criteria Decis. Anal. 2023, 30, 190–202. [Google Scholar] [CrossRef]
- Prawira, R.R.; Pangaribuan, C.H. Your Pet and God: A Religious Case on the Antecedents of Pet Food Buying Behavior. Multidiscip. Sci. J. 2024, 6, 2024076. [Google Scholar] [CrossRef]
- Cozma, A.T.; Cosma, S.A.; Văleanu, M. An Examination of the Pet Food Buying Behavior Before and During the COVID-19 Pandemic. In Post-Pandemic Realities and Growth in Eastern Europe; Springer Proceedings in Business and Economics; Springer: Cham, Switzerland, 2022; pp. 149–167. [Google Scholar]
- Schleicher, M.; Cash, S.B.; Freeman, L.M. Determinants of Pet Food Purchasing Decisions. Can. Vet. J. 2019, 60, 644–650. [Google Scholar]
- Stoica, M.; Hickman, T.M. Gen Z Buying Patterns: Comparing the Influence of Professional Advising and Social Media Engagement. Young Consum. 2024, 25, 579–591. [Google Scholar] [CrossRef]
- Van Selm, M.; Jankowski, N.W. Conducting Online Surveys. Qual. Quant. 2006, 40, 435–456. [Google Scholar] [CrossRef]
- Köster, E.P. Diversity in the Determinants of Food Choice: A Psychological Perspective. Food Qual. Prefer. 2009, 20, 70–82. [Google Scholar] [CrossRef]
- van Huis, A.; Oonincx, D.G.A.B. The Environmental Sustainability of Insects as Food and Feed. A Review. Agron. Sustain. Dev. 2017, 37, 43. [Google Scholar] [CrossRef]
- Kępińska-Pacelik, J.; Biel, W. Insects in Pet Food Industry—Hope or Threat? Animals 2022, 12, 1515. [Google Scholar] [CrossRef]
- Ahmed, I.; İnal, F.; Riaz, R. Insects Usage in Pets Food. Vet. Hekimler Derneği Derg. 2022, 93, 87–98. [Google Scholar] [CrossRef]
- Seo, K.; Cho, H.-W.; Chun, J.; Jeon, J.; Kim, C.; Kim, M.; Park, K.; Kim, K. Evaluation of Fermented Oat and Black Soldier Fly Larva as Food Ingredients in Senior Dog Diets. Animals 2021, 11, 3509. [Google Scholar] [CrossRef] [PubMed]
- Kowalska, J.; Rawski, M.; Homska, N.; Mikołajczak, Z.; Kierończyk, B.; Świątkiewicz, S.; Wachowiak, R.; Hetmańczyk, K.; Mazurkiewicz, J. The First Insight Into Full-Fat Superworm (Zophobas morio) Meal in Guppy (Poecilia reticulata) Diets: A Study on Multiple-Choice Feeding Preferences and Growth Performance. Ann. Anim. Sci. 2022, 22, 371–384. [Google Scholar] [CrossRef]
- Kilburn, L.R.; Carlson, A.T.; Lewis, E.; Serao, M.C.R. Cricket (Gryllodes sigillatus) Meal Fed to Healthy Adult Dogs Does Not Affect General Health and Minimally Impacts Apparent Total Tract Digestibility. J. Anim. Sci. 2020, 98, skaa083. [Google Scholar] [CrossRef]
- Kierończyk, B.; Rawski, M.; Pawełczyk, P.; Różyńska, J.; Golusik, J.; Mikołajczak, Z.; Józefiak, D. Do Insects Smell Attractive to Dogs? A Comparison of Dog Reactions to Insects and Commercial Feed Aromas—A Preliminary Study. Ann. Anim. Sci. 2018, 18, 795–800. [Google Scholar] [CrossRef]
- Jensen, H.; Elleby, C.; Domínguez, I.P.; Chatzopoulos, T.; Charlebois, P. Insect-Based Protein Feed: From Fork to Farm. J. Insects Food Feed 2021, 7, 1219–1233. [Google Scholar] [CrossRef]
- Lee, K.I.; Chae, Y.; Yun, T.; Koo, Y.; Lee, D.; Kim, H.; So, K.M.; Cho, W.J.; Kim, H.J.; Yang, M.-P.; et al. Clinical Application of Insect-Based Diet in Canine Allergic Dermatitis. Korean J. Vet. Res. 2021, 61, e36. [Google Scholar] [CrossRef]
- Bosch, G.; Vervoort, J.J.M.; Hendriks, W.H. In Vitro Digestibility and Fermentability of Selected Insects for Dog Foods. Anim. Feed Sci. Technol. 2016, 221, 174–184. [Google Scholar] [CrossRef]
- Bosch, G.; Swanson, K.S. Effect of Using Insects as Feed on Animals: Pet Dogs and Cats. J. Insects Food Feed 2021, 7, 795–805. [Google Scholar] [CrossRef]
- Freel, T.A.; McComb, A.; Koutsos, E.A. Digestibility and Safety of Dry Black Soldier Fly Larvae Meal and Black Soldier Fly Larvae Oil in Dogs. J. Anim. Sci. 2021, 99, skab047. [Google Scholar] [CrossRef] [PubMed]
- Valdés, F.; Villanueva, V.; Durán, E.; Campos, F.; Avendaño, C.; Sánchez, M.; Domingoz-Araujo, C.; Valenzuela, C. Insects as Feed for Companion and Exotic Pets: A Current Trend. Animals 2022, 12, 1450. [Google Scholar] [CrossRef] [PubMed]
- Higa, J.E.; Ruby, M.B.; Rozin, P. Americans’ Acceptance of Black Soldier Fly Larvae as Food for Themselves, Their Dogs, and Farmed Animals. Food Qual. Prefer. 2021, 90, 104119. [Google Scholar] [CrossRef]
- Leriche, I.; Chala, V.; Ereau, C. Pet Owners’ Perception of Insects as a Protein Source for Cats and Dogs. Available online: https://vet-it.virbac.com/files/live/sites/virbac-b2b-it/files/hpm-physio-diet/Nutrition-resources/poster%20CAT%20HYPOALL%20OWNERS%20SEVC%202017.pdf (accessed on 30 August 2024).
- Naranjo-Guevara, N.; Fanter, M.; Conconi, A.M.; Floto-Stammen, S. Consumer Acceptance among Dutch and German Students of Insects in Feed and Food. Food Sci. Nutr. 2021, 9, 414–428. [Google Scholar] [CrossRef]
- Knight, A.; Leitsberger, M. Vegetarian versus Meat-Based Diets for Companion Animals. Animals 2016, 6, 57. [Google Scholar] [CrossRef]
- Hecker, N.; Sharma, V.; Hiller, M. Convergent Gene Losses Illuminate Metabolic and Physiological Changes in Herbivores and Carnivores. Proc. Natl. Acad. Sci. USA 2019, 116, 3036–3041. [Google Scholar] [CrossRef]
- Morris, J.G. Idiosyncratic Nutrient Requirements of Cats Appear to Be Diet-Induced Evolutionary Adaptations. Nutr. Res. Rev. 2002, 15, 153. [Google Scholar] [CrossRef]
- Dodd, S.A.S.; Dewey, C.; Khosa, D.; Verbrugghe, A. A Cross-Sectional Study of Owner-Reported Health in Canadian and American Cats Fed Meat- and Plant-Based Diets. BMC Vet. Res. 2021, 17, 53. [Google Scholar] [CrossRef]
- Grand View Research. Cultured Meat Market Size, Share & Trends Analysis Report By Source (Poultry, Beef, Seafood, Pork, Duck), By End-Use (Nuggets, Burgers, Meatballs, Sausages, Hot Dogs), by Region, And Segment Forecasts, 2023–2030. Available online: https://www.grandviewresearch.com/industry-analysis/cultured-meat-market-report (accessed on 2 September 2024).
- Mordor Intelligence. Dry Pet Food Market Size & Share Analysis—Growth Trends & Forecasts (2024–2029). Available online: https://www.mordorintelligence.com/industry-reports/global-dry-pet-food-market (accessed on 5 August 2024).
- Future Market Insights Inc. Wet Pet Food Market. Available online: https://www.futuremarketinsights.com/reports/wet-pet-food-market (accessed on 5 August 2024).
- Linder, D.; Mueller, M. Pet Obesity Management. Vet. Clin. N. Am. Small Anim. Pract. 2014, 44, 789–806. [Google Scholar] [CrossRef] [PubMed]
- Bartges, J.; Kushner, R.F.; Michel, K.E.; Sallis, R.; Day, M.J. One Health Solutions to Obesity in People and Their Pets. J. Comp. Pathol. 2017, 156, 326–333. [Google Scholar] [CrossRef] [PubMed]
- Churchill, J.; Ward, E. Communicating with Pet Owners About Obesity. Vet. Clin. N. Am. Small Anim. Pract. 2016, 46, 899–911. [Google Scholar] [CrossRef]
- FEDIAF. Pet Food Trends. Available online: https://europeanpetfood.org/pet-food-facts/pet-food-trends/ (accessed on 7 August 2024).
- Su, B.; Martens, P.; Enders-Slegers, M.-J. A Neglected Predictor of Environmental Damage: The Ecological Paw Print and Carbon Emissions of Food Consumption by Companion Dogs and Cats in China. J. Clean. Prod. 2018, 194, 1–11. [Google Scholar] [CrossRef]
- Tuorila, H.; Hartmann, C. Consumer Responses to Novel and Unfamiliar Foods. Curr. Opin. Food Sci. 2020, 33, 1–8. [Google Scholar] [CrossRef]
- Bearth, A.; Siegrist, M. “As Long as It Is Not Irradiated”—Influencing Factors of US Consumers’ Acceptance of Food Irradiation. Food Qual. Prefer. 2019, 71, 141–148. [Google Scholar] [CrossRef]
- Frewer, L.J.; van der Lans, I.A.; Fischer, A.R.H.; Reinders, M.J.; Menozzi, D.; Zhang, X.; van den Berg, I.; Zimmermann, K.L. Public Perceptions of Agri-Food Applications of Genetic Modification—A Systematic Review and Meta-Analysis. Trends Food Sci. Technol. 2013, 30, 142–152. [Google Scholar] [CrossRef]
- Frewer, L.J.; Bergmann, K.; Brennan, M.; Lion, R.; Meertens, R.; Rowe, G.; Siegrist, M.; Vereijken, C. Consumer Response to Novel Agri-Food Technologies: Implications for Predicting Consumer Acceptance of Emerging Food Technologies. Trends Food Sci. Technol. 2011, 22, 442–456. [Google Scholar] [CrossRef]
- Bhatt, S.; Lee, J.; Deutsch, J.; Ayaz, H.; Fulton, B.; Suri, R. From Food Waste to Value-added Surplus Products: Consumer Acceptance of a Novel Food Product Category. J. Consum. Behav. 2018, 17, 57–63. [Google Scholar] [CrossRef]
- Boya, U.O.; Dotson, M.J.; Hyatt, E.M. Dimensions of the Dog–Human Relationship: A Segmentation Approach. J. Target. Meas. Anal. Mark. 2012, 20, 133–143. [Google Scholar] [CrossRef]
- Woo, H.; Ramkumar, B. Who Seeks a Surprise Box? Predictors of Consumers’ Use of Fashion and Beauty Subscription-Based Online Services (SOS). J. Retail. Consum. Serv. 2018, 41, 121–130. [Google Scholar] [CrossRef]
- Toteva, I.T.; Lutz, R.J.; Shaw, E.H. The Curious Case of Productivity Orientation: The Influence of Advertising Stimuli on Affect and Preference for Subscription Boxes. J. Retail. Consum. Serv. 2021, 63, 102677. [Google Scholar] [CrossRef]
- Bray, J.; De Silva Kanakaratne, M.; Dragouni, M.; Douglas, J. Thinking inside the Box: An Empirical Exploration of Subscription Retailing. J. Retail. Consum. Serv. 2021, 58, 102333. [Google Scholar] [CrossRef]
- Swanson, K.S.; Carter, R.A.; Yount, T.P.; Aretz, J.; Buff, P.R. Nutritional Sustainability of Pet Foods. Adv. Nutr. 2013, 4, 141–150. [Google Scholar] [CrossRef]
- Courcier, E.A.; Mellor, D.J.; Thomson, R.M.; Yam, P.S. A Cross Sectional Study of the Prevalence and Risk Factors for Owner Misperception of Canine Body Shape in First Opinion Practice in Glasgow. Prev. Vet. Med. 2011, 102, 66–74. [Google Scholar] [CrossRef]
- Teixeira, F.A.; Queiroz, M.R.; Oba, P.M.; Olivindo, R.F.G.; Ernandes, M.C.; Duarte, C.N.; Rentas, M.F.; Brunetto, M.A. Brazilian Owners Perception of the Body Condition Score of Dogs and Cats. BMC Vet. Res. 2020, 16, 463. [Google Scholar] [CrossRef]
- Blanchard, T.; Hoummady, S.; Banuls, D.; Roche, M.; Bynens, A.; Meunier, M.; Dos Santos, N.; Tissaoui, E.; Rouch-Buck, P.; Fantinati, M.; et al. The Perception of the Body Condition of Cats and Dogs by French Pet Owners and the Factors Influencing Underestimation. Animals 2023, 13, 3646. [Google Scholar] [CrossRef]
- Bland, I.M.; Guthrie-Jones, A.; Taylor, R.D.; Hill, J. Dog Obesity: Veterinary Practices’ and Owners’ Opinions on Cause and Management. Prev. Vet. Med. 2010, 94, 310–315. [Google Scholar] [CrossRef]
- Ajzen, I. The Theory of Planned Behavior. Organ. Behav. Hum. Decis. Process 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Djafarova, E.; Rushworth, C. Exploring the Credibility of Online Celebrities’ Instagram Profiles in Influencing the Purchase Decisions of Young Female Users. Comput. Hum. Behav. 2017, 68, 1–7. [Google Scholar] [CrossRef]
- Megna, M. Pet Ownership Statistics 2024. Available online: https://www.forbes.com/advisor/pet-insurance/pet-ownership-statistics/ (accessed on 20 August 2024).
- Saadeh, A. Baby Boomers and Their Trust in the Internet. Available online: https://insidetelecom.com/baby-boomers-and-their-trust-in-the-internet/ (accessed on 21 August 2024).
- Hemamalini, K.S.; Kurup, S.K. Effectiveness of Television Advertisement on Purchase Intention. Int. J. Innov. Res. Sci. Eng. Technol. 2014, 3, 9416–9422. [Google Scholar]
- Troy, D.J.; Kerry, J.P. Consumer Perception and the Role of Science in the Meat Industry. Meat Sci. 2010, 86, 214–226. [Google Scholar] [CrossRef]
- Tesfom, G.; Birch, N. Do They Buy for Their Dogs the Way They Buy for Themselves? Psychol. Mark. 2010, 27, 898–912. [Google Scholar] [CrossRef]
- Fox, J.B. Evolving Pet Ownership Leads to Shift in Consumer Purchasing Behaviors. Available online: https://www.petfoodprocessing.net/articles/18290-evolving-pet-ownership-leads-to-shift-in-consumer-purchasing-behaviors (accessed on 22 August 2024).
- FEDIAF. Additives. Available online: https://europeanpetfood.org/pet-food-facts/fact-sheets/nutrition/additives/ (accessed on 23 August 2024).
- WHO. Food Additives. Available online: https://www.who.int/news-room/fact-sheets/detail/food-additives (accessed on 22 August 2024).
- UK Pet Food. Additives in Cat & Dog Food. Available online: https://www.ukpetfood.org/resource/uk-pet-food-fact-sheet-additives-pet-food-pdf.html (accessed on 23 August 2024).
- Savarese, M.; Wismer, W.; Graffigna, G. Conceptualizing “Free-from” Food Consumption Determinants: A Systematic Integrative Literature Review Focused on Gluten and Lactose. Food Qual. Prefer. 2021, 90, 104170. [Google Scholar] [CrossRef]
- Waehning, N.; Wells, V.K. Product, Individual and Environmental Factors Impacting the Consumption of No and Low Alcoholic Drinks: A Systematic Review and Future Research Agenda. Food Qual. Prefer. 2024, 117, 105163. [Google Scholar] [CrossRef]
- Saidi, A.; Cavallo, C.; Del Giudice, T.; Vecchio, R.; Cicia, G. Consumer Preferences for Finfish: A Systematic Literature Review. Food Qual. Prefer. 2023, 105, 104786. [Google Scholar] [CrossRef]
- Muñoz-Prieto, A.; Nielsen, L.R.; Dąbrowski, R.; Bjørnvad, C.R.; Söder, J.; Lamy, E.; Monkeviciene, I.; Ljubić, B.B.; Vasiu, I.; Savic, S.; et al. European Dog Owner Perceptions of Obesity and Factors Associated with Human and Canine Obesity. Sci. Rep. 2018, 8, 13353. [Google Scholar] [CrossRef]
- Kluess, H.A.; Jones, R.L.; Lee-Fowler, T. Perceptions of Body Condition, Diet and Exercise by Sports Dog Owners and Pet Dog Owners. Animals 2021, 11, 1752. [Google Scholar] [CrossRef] [PubMed]
- Carver, C.S.; Scheier, M.F. Control Theory: A Useful Conceptual Framework for Personality–Social, Clinical, and Health Psychology. Psychol. Bull. 1982, 92, 111–135. [Google Scholar] [CrossRef]
- Schwarzer, R. Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors. Appl. Psychol. 2008, 57, 1–29. [Google Scholar] [CrossRef]
- Maddux, J.E.; Rogers, R.W. Protection Motivation and Self-Efficacy: A Revised Theory of Fear Appeals and Attitude Change. J. Exp. Soc. Psychol. 1983, 19, 469–479. [Google Scholar] [CrossRef]
- Martinko, M.J.; Harvey, P.; Dasborough, M.T. Attribution Theory in the Organizational Sciences: A Case of Unrealized Potential. J. Organ. Behav. 2011, 32, 144–149. [Google Scholar] [CrossRef]
- Deci, E.L.; Ryan, R.M. The “What” and “Why” of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychol. Inq. 2000, 11, 227–268. [Google Scholar] [CrossRef]
- Deutsch, M.; Gerard, H.B. A Study of Normative and Informational Social Influences upon Individual Judgment. J. Abnorm. Soc. Psychol. 1955, 51, 629–636. [Google Scholar] [CrossRef]
- Kitzinger, J. Qualitative Research: Introducing Focus Groups. BMJ 1995, 311, 299–302. [Google Scholar] [CrossRef]
- Jacobsen, L.F.; Lähteenmäki, L. Using Netnography and Online Platforms for Qualitative Consumer Insight. In Sensory Evaluation and Consumer Acceptance of New Food Products; Royal Society of Chemistry: London, UK, 2024; pp. 279–295. [Google Scholar]
- Sedgwick, P. Questionnaire Surveys: Sources of Bias. BMJ 2013, 347, f5265. [Google Scholar] [CrossRef]
- Cox, D.R. Regression Models and Life-Tables. J. R. Stat. Soc. 1972, 34, 187–220. [Google Scholar] [CrossRef]
- Deaton, A.; Muellbauer, J. An Almost Ideal Demand System. Am. Econ. Assoc. 1980, 70, 312–326. [Google Scholar]
- Hensher, D.A.; Greene, W.H. The Mixed Logit Model: The State of Practice and Warnings for the Unwary. Transportation 2003, 30, 133–176. [Google Scholar] [CrossRef]
- Greene, W.H.; Hensher, D.A. A Latent Class Model for Discrete Choice Analysis: Contrasts with Mixed Logit. Transp. Res. Part B Methodol. 2003, 37, 681–698. [Google Scholar] [CrossRef]
- Dacko, S.G. Enabling Smart Retail Settings via Mobile Augmented Reality Shopping Apps. Technol. Forecast. Soc. Change 2017, 124, 243–256. [Google Scholar] [CrossRef]
- Barta, S.; Gurrea, R.; Flavián, C. Using Augmented Reality to Reduce Cognitive Dissonance and Increase Purchase Intention. Comput. Hum. Behav. 2023, 140, 107564. [Google Scholar] [CrossRef]








| Keywords related to commercial pet food | “pet food”, “commercial pet food”, “dog food”, “cat food”, “insect pet food”, “commercial cat food”, “commercial dog food”, “dry pet food”, “wet pet food”, “sustainable pet food”, “pet fish food”, “ornamental fish food”, “commercial pet fish food”, “pet rabbit food”, “commercial rabbit food”, “pet bird food”, “commercial pet bird food”. |
| Keywords related to consumer behaviour | “pet owner perceptions”, “owner perception”, “pet owner behaviour”, “pet owner food choice”, “pet food choice”, “pet owner purchase intention”, “consumer perception”, “consumer behaviour”, “consumer purchase intention”, “consumer food choice”, “attitude”, “factors”, “attributes”, “demand”, “purchase”, “pet food preference”, “food preference”, “purchase intention”, “buying behaviour”, “consumer buying behaviour”, “buying pet food”, “buying dog food”, “buying cat food”, “consumer acceptance”, “pet food purchasing” |
| Search string | (“pet food” OR “commercial pet food” OR “dog food” OR “cat food” OR “insect pet food” OR “commercial cat food” OR “commercial dog food” OR “pet fish food” OR “ornamental fish food” OR “ commercial pet fish food” OR “pet rabbit food” OR “commercial rabbit food” OR “pet bird food” OR “commercial pet bird food” OR “dry pet food” OR “wet pet food” OR “sustainable pet food”) AND (“pet owner perceptions” OR “owner perception” OR “pet owner behaviour” OR “pet owner food choice” OR “pet food choice” OR “pet owner purchase intention” OR “consumer perception” OR “consumer behaviour” OR “consumer purchase intention” OR “consumer food choice” OR “attitude” OR “factors” OR “attributes” OR “demand” OR “purchase” OR “pet food preference” OR “food preference” OR “purchase intention” OR “buying behaviour” OR “consumer buying behaviour” OR “buying pet food” OR “buying dog food” OR “buying cat food” OR “consumer acceptance” OR “pet food purchasing”) |
| Inclusion Criteria | Exclusion Criteria |
|---|---|
| Available online | Unavailable |
| Studies focusing on commercial pet food or commercial pet food were part of the study focus | Studies on raw meat, homemade food, table scraps or leftovers and other non-commercial pet food. |
| Studies were to analyse consumer behaviour towards commercial pet food, for example, consumers’ buying behaviour, decision on food choice etc. | Studies not related to consumer behaviour research |
| Peer-reviewed journal articles, peer-reviewed book chapters, technical reports | Non-peer-reviewed journal articles, conference papers, market reports, news, magazine articles, Master/PhD thesis, white papers, and papers published in a predatory or controversial journal |
| Written in English | Written in other languages |
| Journal Title | Number of Articles | Research Methods | Data Collection Methods | Research Countries | Authors |
|---|---|---|---|---|---|
| Animals | 8 | Quantitative | Online survey | The UK | Pinney and Costa-Font [42] |
| Quantitative | Online survey | The USA | Tu et al. [43] | ||
| Quantitative | In-person survey | The UK | Naughton et al. [44] | ||
| Quantitative | Online survey | Portugal | Prata [45] | ||
| Quantitative | Online survey | The USA | Rombach and Dean [46] | ||
| Quantitative | Online survey | The USA | Rombach and Dean [47] | ||
| Quantitative | In-person survey | Poland | Baquero et al. [48] | ||
| Quantitative | In-person survey | The USA | di Donfrancesco et al. [49] | ||
| PLoS ONE | 4 | Quantitative | Online survey | Brazil | Pedrinelli et al. [50] |
| Quantitative | Online survey | The UK | Oven et al. [51] | ||
| Quantitative | Online survey | Cross country | Banton et al. [52] | ||
| Quantitative | Online survey | Cross country | Dodd et al. [53] | ||
| Preventive Veterinary Medicine | 3 | Quantitative | Online survey | Cross country | Nielson et al. [54] |
| Mixed | Online survey | The UK | Morgan et al. [55] | ||
| Mixed | In-person survey | The UK | White et al. [56] | ||
| Frontiers in Veterinary Science | 2 | Quantitative | Online survey | Canada | Eagan et al. [57] |
| Quantitative | In-person survey | The USA | Conway and Saker [58] | ||
| Journal of Food Products Marketing | 2 | Quantitative | In-person survey | Thailand | Koppel et al. [59] |
| Quantitative | Secondary data analysis | The USA | Kumcu and Woolverton [60] | ||
| Journal of the American Veterinary Medical Association | 2 | Quantitative | Telephone survey | Cross country | Michel et al. [61] |
| Quantitative | Telephone survey | The USA | Wakefield et al. [62] | ||
| Journal of Animal Physiology and Animal Nutrition | 2 | Quantitative | In-person survey | Spain | Suarez et al. [63] |
| Quantitative | Online survey | Belgium | Baptista da Silva et al. [64] | ||
| Agribusiness | 1 | Mixed | Secondary data analysis | The USA | Hobbs et al. [65] |
| BMC Veterinary Research | 1 | Quantitative | In-person survey | Italy | Vinassa et al. [66] |
| Chinese Economy | 1 | Quantitative | Online survey | China | Xiao et al. [67] |
| Electronic Commerce Research | 1 | Quantitative | Secondary data analysis | Not specified | Lima et al. [68] |
| Food Research International | 1 | Quantitative | Online survey | Italy | Fantechi et al. [69] |
| International Journal of Consumer Studies | 1 | Quantitative | Online survey | The USA | Boya et al. [70] |
| International Journal of Food Properties | 1 | Quantitative | In-person survey | Korea | Kwak and Cha [71] |
| Irish Veterinary Journal | 1 | Qualitative | Focus group interviews | Ireland | Downes et al., 2017 [72] |
| Journal of Applied Animal Welfare Science | 1 | Quantitative | Online survey | Italy | Morelli et al. [73] |
| Journal of Asia-Pacific Entomology | 1 | Quantitative | Online survey | Not specified | Siddiqui et al. [74] |
| Journal of Cereal Science | 1 | Quantitative | In-person survey | The USA | di Donfrancesco et al. [75] |
| Journal of Cleaner Production | 1 | Quantitative | Online survey | The USA | Ye et al. [76] |
| Journal of Multi-Criteria Decision Analysis | 1 | Quantitative | Online survey | The USA | Salmani and Partovi [77] |
| Multidisciplinary Science Journal | 1 | Quantitative | Online survey | Indonesia | Prawira and Pangaribuan [78] |
| Springer Proceedings in Business and Economics | 1 | Quantitative | Online survey | Romania | Cozma et al. [79] |
| The Canadian Veterinary Journal | 1 | Quantitative | Online survey | The USA | Schleicher et al. [80] |
| Young Consumers | 1 | Quantitative | Online survey | The USA | Stoica and Hickman [81] |
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© 2025 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
Ai, C.; Akaichi, F.; Glenk, K.; Revoredo-Giha, C.; Costa-Font, M. What Drives Pet Food Choices? A Systematic Literature Review. Animals 2025, 15, 3235. https://doi.org/10.3390/ani15223235
Ai C, Akaichi F, Glenk K, Revoredo-Giha C, Costa-Font M. What Drives Pet Food Choices? A Systematic Literature Review. Animals. 2025; 15(22):3235. https://doi.org/10.3390/ani15223235
Chicago/Turabian StyleAi, Chen, Faical Akaichi, Klaus Glenk, Cesar Revoredo-Giha, and Montserrat Costa-Font. 2025. "What Drives Pet Food Choices? A Systematic Literature Review" Animals 15, no. 22: 3235. https://doi.org/10.3390/ani15223235
APA StyleAi, C., Akaichi, F., Glenk, K., Revoredo-Giha, C., & Costa-Font, M. (2025). What Drives Pet Food Choices? A Systematic Literature Review. Animals, 15(22), 3235. https://doi.org/10.3390/ani15223235

