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

Maxine Whelan, Paul Morgan, Lauren Sherar, Mark Orme, Dale Esliger

Research output: Contribution to journalArticle

6 Citations (Scopus)

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 ≥ 10 years 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.

Original languageEnglish
Pages (from-to)185-196
Number of pages12
JournalPreventive Medicine
Volume99
Early online date16 Feb 2017
DOIs
Publication statusPublished - Jun 2017
Externally publishedYes

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