Literature DB >> 28214544

Can functional magnetic resonance imaging studies help with the optimization of health messaging for lifestyle behavior change? A systematic review.

Maxine E Whelan1, Paul S Morgan2, Lauren B Sherar3, Mark W Orme4, Dale W Esliger5.   

Abstract

Unhealthy behaviors, including smoking, poor nutrition, excessive alcohol consumption, physical inactivity and sedentary lifestyles, are global risk factors for non-communicable diseases and premature death. Functional magnetic resonance imaging (fMRI) offers a unique approach to optimize health messages by examining how the brain responds to information relating to health. Our aim was to systematically review fMRI studies that have investigated variations in brain activation in response to health messages relating to (i) smoking; (ii) alcohol consumption; (iii) physical activity; (iv) diet; and (v) sedentary behavior. The electronic databases used were Medline/PubMed, Web of Science (Core Collection), PsychINFO, SPORTDiscuss, Cochrane Library and Open Grey. Studies were included if they investigated subjects aged ≥10years and were published before January 2017. Of the 13,836 studies identified in the database search, 18 studies (smoking k=15; diet k=2; physical activity/sedentary behavior k=1) were included in the review. The prefrontal cortex was activated in seven (47%) of the smoking-related studies and the physical activity study. Results suggest that activation of the ventromedial, dorsolateral and medial prefrontal cortex regions were predictive of subsequent behavior change following exposure to aversive anti-smoking stimuli. Studies investigating the neurological responses to anti-smoking material were most abundant. Of note, the prefrontal cortex and amygdala were most commonly activated in response to health messages across lifestyle behaviors. The review highlights an important disparity between research focusing on different lifestyle behaviors. Insights from smoking literature suggest fMRI may help to optimize health messaging in relation to other lifestyle behaviors.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alcohol; Diet; Physical activity; Sedentary behavior; Smoking; fMRI

Mesh:

Year:  2017        PMID: 28214544     DOI: 10.1016/j.ypmed.2017.02.004

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  6 in total

1.  The Behavioral Medicine Research Council: Its origins, mission, and methods.

Authors:  Kenneth E Freedland
Journal:  Health Psychol       Date:  2019-04       Impact factor: 4.267

2.  Communication research at the National Cancer Institute, 2013-2019: a grant portfolio analysis.

Authors:  Anna Gaysynsky; Camella J Rising; Neha Trivedi; Kelly D Blake; Wen-Ying Sylvia Chou; April Oh; Robin C Vanderpool
Journal:  Cancer Causes Control       Date:  2021-07-27       Impact factor: 2.506

3.  The relationships between health information behavior and neural processing in african americans with prehypertension.

Authors:  Lenette M Jones; Kathy D Wright; Anthony I Jack; Jared P Friedman; David M Fresco; Tiffany Veinot; Wei Lu; Shirley M Moore
Journal:  J Assoc Inf Sci Technol       Date:  2018-11-23       Impact factor: 2.687

4.  Signs of Warning: Do Health Warning Messages on Sweets Affect the Neural Prefrontal Cortex Activity?

Authors:  Clara Mehlhose; Antje Risius
Journal:  Nutrients       Date:  2020-12-21       Impact factor: 5.717

5.  Comparing cognition, coping skills and vedic personality of individuals practicing yoga, physical exercise or sedentary lifestyle: a cross-sectional fMRI study.

Authors:  Harsimarpreet Kaur; Shefali Chaudhary; Sriloy Mohanty; Gautam Sharma; S Senthil Kumaran; Nirmal Ghati; Rohit Bhatia; Ashima Nehra; R M Pandey
Journal:  Integr Med Res       Date:  2021-05-24

6.  Brain Activation in Response to Personalized Behavioral and Physiological Feedback From Self-Monitoring Technology: Pilot Study.

Authors:  Maxine E Whelan; Paul S Morgan; Lauren B Sherar; Andrew P Kingsnorth; Daniele Magistro; Dale W Esliger
Journal:  J Med Internet Res       Date:  2017-11-08       Impact factor: 5.428

  6 in total

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