Literature DB >> 20089726

Interactive effects of reward sensitivity and residential fast-food restaurant exposure on fast-food consumption.

Catherine Paquet1, Mark Daniel, Bärbel Knäuper, Lise Gauvin, Yan Kestens, Laurette Dubé.   

Abstract

BACKGROUND: Local fast-food environments have been increasingly linked to obesity and related outcomes. Individuals who are more sensitive to reward-related cues might be more responsive to such environments.
OBJECTIVE: This study aimed to assess the moderating role of sensitivity to reward on the relation between residential fast-food restaurant exposure and fast-food consumption.
DESIGN: Four hundred fifteen individuals (49.6% men; mean age: 34.7 y) were sampled from 7 Montreal census tracts stratified by socioeconomic status and French/English language. The frequency of fast-food restaurant visits in the previous week was self-reported. Sensitivity to reward was self-reported by using the Behavioral Activation System (BAS) scale. Fast-food restaurant exposure within 500 m of the participants' residence was determined by using a Geographic Information System. Main and interactive effects of the BAS and fast-food restaurant exposure on fast-food consumption were tested with logistic regression models that accounted for clustering of observations and participants' age, sex, education, and household income.
RESULTS: Regression results showed a significant interaction between BAS and fast-food restaurant exposure (P < 0.001). Analysis of BAS tertiles indicated that the association between neighborhood fast-food restaurant exposure and consumption was positive for the highest tertile (odds ratio: 1.49; 95% CI: 1.20, 1.84; P < 0.001) but null for the intermediate (odds ratio: 1.03; 95% CI: 0.80, 1.34; P = 0.81) and lowest (odds ratio: 0.84; 95% CI: 0.51, 1.37; P = 0.49) tertiles.
CONCLUSION: Reward-sensitive individuals may be more responsive to unhealthful cues in their immediate environment.

Entities:  

Mesh:

Year:  2010        PMID: 20089726     DOI: 10.3945/ajcn.2009.28648

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  30 in total

Review 1.  Food availability/convenience and obesity.

Authors:  Penny Gordon-Larsen
Journal:  Adv Nutr       Date:  2014-11-14       Impact factor: 8.701

2.  Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese women.

Authors:  Bradley M Appelhans; Molly E Waring; Kristin L Schneider; Sherry L Pagoto; Michelle A DeBiasse; Michelle A Debiasse; Matthew C Whited; Elizabeth B Lynch
Journal:  Appetite       Date:  2012-07-20       Impact factor: 3.868

3.  Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.

Authors:  Brian E Saelens; S Sonia Arteaga; David Berrigan; Rachel M Ballard; Amy A Gorin; Tiffany M Powell-Wiley; Charlotte Pratt; Jill Reedy; Shannon N Zenk
Journal:  Obesity (Silver Spring)       Date:  2018-04       Impact factor: 5.002

4.  Fast-food environments and family fast-food intake in nonmetropolitan areas.

Authors:  Meghan R Longacre; Keith M Drake; Todd A MacKenzie; Lucinda Gibson; Peter Owens; Linda J Titus; Michael L Beach; Madeline A Dalton
Journal:  Am J Prev Med       Date:  2012-06       Impact factor: 5.043

5.  The Women's Health Initiative: The food environment, neighborhood socioeconomic status, BMI, and blood pressure.

Authors:  Tamara Dubowitz; Madhumita Ghosh-Dastidar; Christine Eibner; Mary E Slaughter; Meenakshi Fernandes; Eric A Whitsel; Chloe E Bird; Adria Jewell; Karen L Margolis; Wenjun Li; Yvonne L Michael; Regina A Shih; Joann E Manson; José J Escarce
Journal:  Obesity (Silver Spring)       Date:  2011-06-09       Impact factor: 5.002

6.  Neighbourhood retail food outlet access, diet and body mass index in Canada: a systematic review.

Authors:  Andrew C Stevenson; Anne-Sophie Brazeau; Kaberi Dasgupta; Nancy A Ross
Journal:  Health Promot Chronic Dis Prev Can       Date:  2019-10       Impact factor: 3.240

7.  Fast food restaurants and food stores: longitudinal associations with diet in young to middle-aged adults: the CARDIA study.

Authors:  Janne Boone-Heinonen; Penny Gordon-Larsen; Catarina I Kiefe; James M Shikany; Cora E Lewis; Barry M Popkin
Journal:  Arch Intern Med       Date:  2011-07-11

8.  Time to abandon the notion of personal choice in dietary counseling for obesity?

Authors:  Bradley M Appelhans; Matthew C Whited; Kristin L Schneider; Sherry L Pagoto
Journal:  J Am Diet Assoc       Date:  2011-08

9.  Measurement of food reinforcement in preschool children. Associations with food intake, BMI, and reward sensitivity.

Authors:  Brandi Y Rollins; Eric Loken; Jennifer S Savage; Leann L Birch
Journal:  Appetite       Date:  2013-09-30       Impact factor: 3.868

10.  Do GIS-derived measures of fast food retailers convey perceived fast food opportunities? Implications for food environment assessment.

Authors:  Timothy L Barnes; Natalie Colabianchi; Darcy A Freedman; Bethany A Bell; Angela D Liese
Journal:  Ann Epidemiol       Date:  2016-08-20       Impact factor: 3.797

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.