Portion size selection as related to product and consumer characteristics studied by PLS path modelling
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Portion size selection as related to product and consumer characteristics studied by PLS path modelling. / Nguyen, Quoc Cuong; Næs, Tormod; Almøy, Trygve; Varela, Paula.
I: Food Quality and Preference, Bind 79, 103613, 2020.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Portion size selection as related to product and consumer characteristics studied by PLS path modelling
AU - Nguyen, Quoc Cuong
AU - Næs, Tormod
AU - Almøy, Trygve
AU - Varela, Paula
PY - 2020
Y1 - 2020
N2 - Expectations of satiation and satiety have been increasingly investigated because of the interest in how they, along with liking, can modulate portion-size selection. Consumer characteristics can also be important when consumers select their portion size. However, the contribution and interaction of consumers and product aspects to portion size selection has not been unveiled. This study aims to better understanding these complex relations by simultaneously assessing the relative influence of consumer characteristics and product related properties on portion size selection utilizing PLS-Path Modelling (PLS-PM) approach. In this study, consumers (n = 101) answered questions regarding attitudes to health and hedonic characteristics of foods, and completed hunger and fullness questions. In an evaluation step, they tasted eight samples of yogurt with different textures and rated liking, expected satiation, expected satiety and portion size. The consumers were also classified on their mouth behaviour by using the JBMB™ tool. Results showed that liking, satiation, satiety and portion size depended firstly on the thickness, and then on the particle size of samples. PLS-PM was used to generate a model, indicating that liking was a direct predictor of portion size, with a stronger effect than satiation or satiety. The relationship between liking and satiety was observed both in direct direction (liking-satiety) and also indirect direction throughout satiation (liking-satiation-satiety). The former was negative effect and the latter was positive effect depending on the criteria which consumers used. These findings implied that liking is a main factor in the prediction of portion size however the relations are complex.
AB - Expectations of satiation and satiety have been increasingly investigated because of the interest in how they, along with liking, can modulate portion-size selection. Consumer characteristics can also be important when consumers select their portion size. However, the contribution and interaction of consumers and product aspects to portion size selection has not been unveiled. This study aims to better understanding these complex relations by simultaneously assessing the relative influence of consumer characteristics and product related properties on portion size selection utilizing PLS-Path Modelling (PLS-PM) approach. In this study, consumers (n = 101) answered questions regarding attitudes to health and hedonic characteristics of foods, and completed hunger and fullness questions. In an evaluation step, they tasted eight samples of yogurt with different textures and rated liking, expected satiation, expected satiety and portion size. The consumers were also classified on their mouth behaviour by using the JBMB™ tool. Results showed that liking, satiation, satiety and portion size depended firstly on the thickness, and then on the particle size of samples. PLS-PM was used to generate a model, indicating that liking was a direct predictor of portion size, with a stronger effect than satiation or satiety. The relationship between liking and satiety was observed both in direct direction (liking-satiety) and also indirect direction throughout satiation (liking-satiation-satiety). The former was negative effect and the latter was positive effect depending on the criteria which consumers used. These findings implied that liking is a main factor in the prediction of portion size however the relations are complex.
KW - Liking
KW - Particle size
KW - PLS path modelling
KW - Portion size
KW - Satiation
KW - Satiety
KW - Texture
KW - Viscosity
U2 - 10.1016/j.foodqual.2018.11.020
DO - 10.1016/j.foodqual.2018.11.020
M3 - Journal article
AN - SCOPUS:85057850789
VL - 79
JO - Food Quality and Preference
JF - Food Quality and Preference
SN - 0950-3293
M1 - 103613
ER -
ID: 212301027