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Yeliz Vural

Biographic Data

ID6255665
NAMEYeliz Vural
GIVEN NAMESYeliz
FAMILY NAMEVural
SIGNATUREVURAL Y
AFFILIATIONSUniversity of Bristol
ORCID0000-0003-1150-9489
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS20
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX2
  • What does the Yale Food Addiction Scale (Yfas) measure

    Open Access•Peter J Rogers, Yeliz Vural•ARTICLE•Appetite•2025

  • Evidence that carbohydrate-to-fat ratio and taste, but not energy density or Nova level of processing, are determinants of food liking and food reward

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 8•References: 92

    This virtual (online) study tested the common but largely untested assumptions that food energy density, level of processing (NOVA categories), and carbohydrate-to-fat (CF) ratio are key determinants of food reward. Individual participants (224 women and men, mean age 35 y, 53% with healthy weight, 43% with overweight or obesity) were randomised to one of three, within-subjects, study arms: energy density (32 foods), or level of processing (24 fo…

  • Nutrient clustering, Nova classification, and nutrient profiling

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 2•References: 43

    We compared the performance of three food categorisation metrics in predicting palatability (taste pleasantness) using a dataset of 52 foods, each rated virtually (online) by 72-224 participants familiar with the foods in question, as described in Appetite 193 (2024) 107124. The metrics were nutrient clustering, NOVA, and nutrient profiling. The first two of these metrics were developed to identify, respectively: 'hyper-palatable' foods (HPFs); a…

  • Lower wanting for ultra-processed foods in people with overweight and obesity

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024

  • Consumers’ attitudes towards alternatives to conventional meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2023•Cited by: 9•References: 47

    The livestock sector has environmental, health, and animal welfare impacts. This UK-based, quantitative study aimed to elucidate consumers' valuation of alternatives to conventional meat products. In an online study, 151 meat eaters and 44 non-meat eaters were shown pictures of meat, dairy, and bakery products, including beef burger, cheese sandwich and blueberry muffin. Each product was evaluated with three different labels (e.g., 'conventional'…

  • Expectation and Experience

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2022

  • Exploring attitudes towards meat substitutes; are 'plant based' and 'cultured' meat alternatives acceptable to consumers

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2022

  • Consumer attitudes towards alternative meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2021•Cited by: 1

  • Consumers’ attitudes towards alternatives to conventional meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2023•Cited by: 9•References: 47

    The livestock sector has environmental, health, and animal welfare impacts. This UK-based, quantitative study aimed to elucidate consumers' valuation of alternatives to conventional meat products. In an online study, 151 meat eaters and 44 non-meat eaters were shown pictures of meat, dairy, and bakery products, including beef burger, cheese sandwich and blueberry muffin. Each product was evaluated with three different labels (e.g., 'conventional'…

  • Evidence that carbohydrate-to-fat ratio and taste, but not energy density or Nova level of processing, are determinants of food liking and food reward

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 8•References: 92

    This virtual (online) study tested the common but largely untested assumptions that food energy density, level of processing (NOVA categories), and carbohydrate-to-fat (CF) ratio are key determinants of food reward. Individual participants (224 women and men, mean age 35 y, 53% with healthy weight, 43% with overweight or obesity) were randomised to one of three, within-subjects, study arms: energy density (32 foods), or level of processing (24 fo…

  • Nutrient clustering, Nova classification, and nutrient profiling

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 2•References: 43

    We compared the performance of three food categorisation metrics in predicting palatability (taste pleasantness) using a dataset of 52 foods, each rated virtually (online) by 72-224 participants familiar with the foods in question, as described in Appetite 193 (2024) 107124. The metrics were nutrient clustering, NOVA, and nutrient profiling. The first two of these metrics were developed to identify, respectively: 'hyper-palatable' foods (HPFs); a…

  • Consumer attitudes towards alternative meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2021•Cited by: 1

  • Consumer attitudes towards alternative meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2021•Cited by: 1

  • Expectation and Experience

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2022

  • Exploring attitudes towards meat substitutes; are 'plant based' and 'cultured' meat alternatives acceptable to consumers

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2022

  • Consumers’ attitudes towards alternatives to conventional meat products

    Open Access•Yeliz Vural, Danielle Ferriday et al.•ARTICLE•Appetite•2023•Cited by: 9•References: 47

    The livestock sector has environmental, health, and animal welfare impacts. This UK-based, quantitative study aimed to elucidate consumers' valuation of alternatives to conventional meat products. In an online study, 151 meat eaters and 44 non-meat eaters were shown pictures of meat, dairy, and bakery products, including beef burger, cheese sandwich and blueberry muffin. Each product was evaluated with three different labels (e.g., 'conventional'…

  • Evidence that carbohydrate-to-fat ratio and taste, but not energy density or Nova level of processing, are determinants of food liking and food reward

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 8•References: 92

    This virtual (online) study tested the common but largely untested assumptions that food energy density, level of processing (NOVA categories), and carbohydrate-to-fat (CF) ratio are key determinants of food reward. Individual participants (224 women and men, mean age 35 y, 53% with healthy weight, 43% with overweight or obesity) were randomised to one of three, within-subjects, study arms: energy density (32 foods), or level of processing (24 fo…

  • Nutrient clustering, Nova classification, and nutrient profiling

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024•Cited by: 2•References: 43

    We compared the performance of three food categorisation metrics in predicting palatability (taste pleasantness) using a dataset of 52 foods, each rated virtually (online) by 72-224 participants familiar with the foods in question, as described in Appetite 193 (2024) 107124. The metrics were nutrient clustering, NOVA, and nutrient profiling. The first two of these metrics were developed to identify, respectively: 'hyper-palatable' foods (HPFs); a…

  • Lower wanting for ultra-processed foods in people with overweight and obesity

    Open Access•Peter J Rogers, Yeliz Vural et al.•ARTICLE•Appetite•2024

  • What does the Yale Food Addiction Scale (Yfas) measure

    Open Access•Peter J Rogers, Yeliz Vural•ARTICLE•Appetite•2025

Food Science (7 works) · Psychology (6 works) · Chemistry (5 works) · Consumer Attitudes and Food Labeling (4 works) · Taste (4 works) · Social Psychology (3 works) · Agriculture Sustainability and Environmental Impact (2 works) · Biochemical Analysis and Sensing Techniques (2 works) · Biology (2 works) · Business (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae