Literature DB >> 12798781

The construct of food involvement in behavioral research: scale development and validation.

Rick Bell1, David W Marshall.   

Abstract

The construct of involvement has been found to influence brand loyalty, product information search processing, responses to advertising communications, diffusion of innovations, and ultimately, product choice decisions. Traditionally, involvement has been defined as being a characteristic of either a product or of an individual. In the present research, we make an assumption that an individual's 'food involvement' is a somewhat stable characteristic and we hypothesized that involvement with foods would vary between individuals, that individuals who are more highly involved with food would be better able to discriminate between a set of food samples than would less food involved individuals, and that this discrimination would operate both in affective and perceptive relative judgments. Using standard scale construction techniques, we developed a measure of the characteristic of food involvement, based on activities relating to food acquisition, preparation, cooking, eating and disposal. After several iterations, a final 12-item measure was found to have good test-retest reliability and internal consistency within two subscales. A behavioral validation study demonstrated that measures of food involvement were associated with discrimination and hedonic ratings for a range of foods in a laboratory setting. These findings suggest that food involvement, as measured by the Food Involvement Scale, may be an important mediator to consider when undertaking research with food and food habits.

Mesh:

Year:  2003        PMID: 12798781     DOI: 10.1016/s0195-6663(03)00009-6

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  26 in total

1.  Perception of chemesthetic stimuli in groups who differ by food involvement and culinary experience.

Authors:  Nadia Byrnes; Christopher R Loss; John E Hayes
Journal:  Food Qual Prefer       Date:  2015-12-01       Impact factor: 5.565

2.  Perceptual mapping of chemesthetic stimuli in naïve assessors.

Authors:  Nadia Byrnes; Michael A Nestrud; John E Hayes
Journal:  Chemosens Percept       Date:  2015-06-01       Impact factor: 1.833

3.  Specific psychological variables predict quality of diet in women of lower, but not higher, educational attainment.

Authors:  Wendy Lawrence; Wolff Schlotz; Sarah Crozier; Timothy C Skinner; Cheryl Haslam; Sian Robinson; Hazel Inskip; Cyrus Cooper; Mary Barker
Journal:  Appetite       Date:  2010-11-13       Impact factor: 3.868

4.  Influences on the diet quality of pre-school children: importance of maternal psychological characteristics.

Authors:  Megan Jarman; Hazel M Inskip; Georgia Ntani; Cyrus Cooper; Janis Baird; Sian M Robinson; Mary E Barker
Journal:  Public Health Nutr       Date:  2014-11-20       Impact factor: 4.022

5.  Measuring Food Literacy: Progressing the Development of an International Food Literacy Survey Using a Content Validity Study.

Authors:  Donna Fingland; Courtney Thompson; Helen Anna Vidgen
Journal:  Int J Environ Res Public Health       Date:  2021-01-28       Impact factor: 3.390

6.  Change in the family food environment is associated with positive dietary change in children.

Authors:  Gilly Hendrie; Gundeep Sohonpal; Kylie Lange; Rebecca Golley
Journal:  Int J Behav Nutr Phys Act       Date:  2013-01-07       Impact factor: 6.457

7.  Menu-engineering in restaurants - adapting portion sizes on plates to enhance vegetable consumption: a real-life experiment.

Authors:  Machiel J Reinders; Marlijn Huitink; S Coosje Dijkstra; Anna J Maaskant; Joris Heijnen
Journal:  Int J Behav Nutr Phys Act       Date:  2017-12-25       Impact factor: 6.457

8.  Fish consumption and its motives in households with versus without self-reported medical history of CVD: a consumer survey from five European countries.

Authors:  Zuzanna Pieniak; Wim Verbeke; Federico Perez-Cueto; Karen Brunsø; Stefaan De Henauw
Journal:  BMC Public Health       Date:  2008-09-10       Impact factor: 3.295

9.  The association of mavenism and pleasure with food involvement in older adults.

Authors:  Julia Somers; Anthony Worsley; Sarah A McNaughton
Journal:  Int J Behav Nutr Phys Act       Date:  2014-05-05       Impact factor: 6.457

10.  Different patterns of Australian adults' knowledge of foods and nutrients related to metabolic disease risk.

Authors:  Anthony Worsley; Wei C Wang; Stephanie Byrne; Heather Yeatman
Journal:  J Nutr Sci       Date:  2014-08-13
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