Literature DB >> 30980250

Food-Cal: development of a controlled database of high and low calorie food matched with non-food pictures.

Rebecca Shankland1, Pauline Favre2, Damien Corubolo3, David Méary4, Valentin Flaudias5,6, Martial Mermillod4.   

Abstract

BACKGROUND: Industrialization has led to more varied and attractive high-calorie foods. Health problems such as obesity and diabetes are partially attributed to eating-related self-regulation difficulties that may be caused by increasingly frequent cues for highly palatable foods. Research studies aim at understanding the factors underlying responses to food cues. This has led to the development of food stimuli databases. However, they present some limitations.
OBJECTIVES: This study aimed at providing a controlled set of pictures, including 40 food pictures with high- and low-calorie stimuli, matched with 40 non-food pictures. The second objective was to provide a ready-to-use database with normative data regarding responses and associations between demographic, anthropometric and eating-related characteristics, and picture ratings. PARTICIPANTS: A sample of 264 participants rated the total set of pictures. MEASURES: Attractiveness, arousal and palatability were assessed for each picture, as well as participant's current type of diet, BMI, hunger levels and eating behaviors (uncontrolled and emotional eating).
RESULTS: Image characteristics (shape, colors, luminance) were comparable between food and matched non-food pictures. Positive correlations were found between hunger levels and attractiveness, arousal and palatability of food. Uncontrolled and emotional eating was positively correlated with high-calorie food palatability, and uncontrolled eating was positively correlated with high-calorie food attractiveness. Participants who did not report any specific diet rated high-calorie foods as more attractive and arousing, whereas vegan and vegetarian participants assessed low-calorie foods as more attractive and palatable.
CONCLUSION: The Food-Cal controlled set of picture database can be considered as a useful tool for experimental research. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Entities:  

Keywords:  Controlled food pictures; Eating behaviors; High-calorie foods; Low-calorie foods; Picture database

Mesh:

Year:  2019        PMID: 30980250     DOI: 10.1007/s40519-019-00687-8

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  40 in total

Review 1.  Neural bases of food-seeking: affect, arousal and reward in corticostriatolimbic circuits.

Authors:  Bernard W Balleine
Journal:  Physiol Behav       Date:  2005-10-27

2.  Brain activity in hunger and satiety: an exploratory visually stimulated FMRI study.

Authors:  Dagmar Führer; Stefan Zysset; Michael Stumvoll
Journal:  Obesity (Silver Spring)       Date:  2008-02-21       Impact factor: 5.002

3.  Chronic stress exposure may affect the brain's response to high calorie food cues and predispose to obesogenic eating habits.

Authors:  Matthew S Tryon; Cameron S Carter; Rashel Decant; Kevin D Laugero
Journal:  Physiol Behav       Date:  2013-08-16

4.  Fasting levels of ghrelin covary with the brain response to food pictures.

Authors:  Nils B Kroemer; Lena Krebs; Andrea Kobiella; Oliver Grimm; Maximilian Pilhatsch; Martin Bidlingmaier; Ulrich S Zimmermann; Michael N Smolka
Journal:  Addict Biol       Date:  2012-09-13       Impact factor: 4.280

5.  Differences between health and ethical vegetarians. Strength of conviction, nutrition knowledge, dietary restriction, and duration of adherence.

Authors:  Sarah R Hoffman; Sarah F Stallings; Raymond C Bessinger; Gary T Brooks
Journal:  Appetite       Date:  2013-02-15       Impact factor: 3.868

6.  Attentional bias modification encourages healthy eating.

Authors:  Naomi Kakoschke; Eva Kemps; Marika Tiggemann
Journal:  Eat Behav       Date:  2013-11-28

7.  Abnormal relationships between the neural response to high- and low-calorie foods and endogenous acylated ghrelin in women with active and weight-recovered anorexia nervosa.

Authors:  Laura M Holsen; Elizabeth A Lawson; Kara Christensen; Anne Klibanski; Jill M Goldstein
Journal:  Psychiatry Res       Date:  2014-05-06       Impact factor: 3.222

8.  Sex differences in cerebral responses to images of high versus low-calorie food.

Authors:  William D S Killgore; Deborah A Yurgelun-Todd
Journal:  Neuroreport       Date:  2010-03-31       Impact factor: 1.837

9.  Psychometric analysis of the Three-Factor Eating Questionnaire-R21: results from a large diverse sample of obese and non-obese participants.

Authors:  J C Cappelleri; A G Bushmakin; R A Gerber; N K Leidy; C C Sexton; M R Lowe; J Karlsson
Journal:  Int J Obes (Lond)       Date:  2009-04-28       Impact factor: 5.095

10.  The psychology of eating.

Authors:  Adrian Meule; Claus Vögele
Journal:  Front Psychol       Date:  2013-04-25
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