Children's Preference Patterns and Opportunities for Sensory‐Led Reformulation of Chocolate Chip Cookies
ABSTRACT In the context of the rising prevalence childhood obesity, this study investigated children's preferences for chocolate chip cookies, a high impact food category. The objective was to explore drivers of preferences and to identify potential pathways for reformulation. A home use test was conducted in four cities in France with 151 school‐aged children on eight commercial chocolate chips cookies. An external preference mapping analysis was performed using descriptive analysis data from a trained sensory panel and analyses of cookies' composition and physicochemical properties. Texture emerged as a critical driver of preference, with a majority of children favoring softer textures. Preferences were not particularly driven by sweetness, challenging the assumption that children always prefer the sweetest products. Cluster analysis revealed distinct preference patterns that were linked to children's BMI and demographic factors. Notably, children with higher BMIs showed preferences for sweeter cookies and higher sugar content.
Authors
- Julien Delarue (ORCID: https://orcid.org/0000-0001-8077-6076)
- Lucia Espinosa-Brisset (ORCID: https://orcid.org/0000-0002-0723-6521)
- Véronique Bosc (ORCID: https://orcid.org/0000-0002-8294-0738)
- Anne Saint‐Eve (ORCID: https://orcid.org/0000-0003-2910-4666)
- Carole Liechti
- Isabelle Souchon (ORCID: https://orcid.org/0000-0002-6437-8884)
Institutions
- Université d'Avignon et des Pays de Vaucluse (FR)
- AgroParisTech (FR)
- Université Paris-Saclay (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Sécurité et Qualité des Produits d'Origine Végétale (FR)
- Agroscope (CH)
- University of California, Davis (US)
Publication Details
- Journal
- Journal of Sensory Studies
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1111/joss.12954
- Citations
- 1
- Primary Topic
- Sensory Analysis and Statistical Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- European Commission
- AgroParisTech
- Horizon 2020 Framework Programme