Literature DB >> 17428574

Individual differences in food perceptions and calorie estimation: an examination of dieting status, weight, and gender.

Robert A Carels1, Krista Konrad, Jessica Harper.   

Abstract

People frequently place foods into "health" or "diet" categories. This study examined whether (1) evaluations of "healthiness/unhealthiness" influence "caloric" estimation accuracy, (2) people evaluate foods for "healthiness/unhealthiness" or "weight gain/loss" differently, and (3) food evaluations differ by gender, diet status, and weight. Also, undergraduate dieters attempting to lose weight on their own were compared to obese weight loss program participants. Undergraduate students (N=101) rated eight "healthy" and "unhealthy" foods on perceived "healthiness/unhealthiness," "weight loss/gain capacity" and "caloric" content. Open-ended questions inquiring why a food was "healthy/unhealthy" or would "contribute to weight gain/loss" were coded into independent food categories (e.g., high fat). Results indicate that calories were systematically underestimated in healthy/weight loss foods, while they were systematically overestimated in unhealthy/weight gain foods. Dieters were more accurate at estimating "calories" of healthy foods and more attentive to the foods' fat, "calorie", and sugar content than non-dieters. Overweight participants commented more on fat and sugar content than normal weight participants. Undergraduate dieters used fewer categories for evaluating foods than weight loss program participants. Individual difference characteristics, such as diet-status, weight, and gender, influence people's perceptions of foods' healthiness or capacity to influence weight, and in some instances systematically bias their estimates of the caloric content of foods.

Entities:  

Mesh:

Year:  2007        PMID: 17428574     DOI: 10.1016/j.appet.2007.02.009

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


  26 in total

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Journal:  Curr Obes Rep       Date:  2016-03

2.  Exploring preferences for variable delays over fixed delays to high-value food rewards as a model of food-seeking behaviours in humans.

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3.  High and low fat food selection with reported frequency intolerance following Roux-en-Y gastric bypass.

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4.  Calorie Estimation in Adults Differing in Body Weight Class and Weight Loss Status.

Authors:  Ruth E Brown; Karissa L Canning; Michael Fung; Dishay Jiandani; Michael C Riddell; Alison K Macpherson; Jennifer L Kuk
Journal:  Med Sci Sports Exerc       Date:  2016-03       Impact factor: 5.411

5.  The real deal: Willingness-to-pay and satiety expectations are greater for real foods versus their images.

Authors:  Carissa A Romero; Michael T Compton; Yueran Yang; Jacqueline C Snow
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6.  Comparison between Human and Bite-Based Methods of Estimating Caloric Intake.

Authors:  James N Salley; Adam W Hoover; Michael L Wilson; Eric R Muth
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7.  Photo-Assisted Dietary Method Improves Estimates of Dietary Intake Among People with Sleeve Gastrectomy.

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Journal:  Obes Surg       Date:  2019-05       Impact factor: 4.129

8.  Reference amounts utilised in front of package nutrition labelling; impact on product healthfulness evaluations.

Authors:  M M Raats; S Hieke; C Jola; C Hodgkins; J Kennedy; J Wills
Journal:  Eur J Clin Nutr       Date:  2014-11-05       Impact factor: 4.016

9.  Age and physical activity status effects on appetite and mood state in older humans.

Authors:  John W Apolzan; Michael G Flynn; Brian K McFarlin; Wayne W Campbell
Journal:  Appl Physiol Nutr Metab       Date:  2009-04       Impact factor: 2.665

Review 10.  Does food marketing need to make us fat? A review and solutions.

Authors:  Pierre Chandon; Brian Wansink
Journal:  Nutr Rev       Date:  2012-10       Impact factor: 6.846

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