ArticleSocial cognitive and affective neuroscience2016
Neural response to pictorial health warning labels can predict smoking behavioral change.
Article in Social cognitive and affective neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- Cognitive and emotional responses to pictorial warning labels and their association with quitting measures after continued exposure.Addictive behaviors · 2022Trial
- Exploring the impact of message framing and physical activity levels on the effectiveness of health communication and its underlying cognitive processes.BMC psychology · 2026Article
- Gain/loss framing moderates the VMPFC's response to persuasive messages when behaviors have personal outcomes.Social cognitive and affective neuroscience · 2023Article
- Brain system integration and message consistent health behavior change.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022Article
- Social networks and neural receptivity to persuasive health messages.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021Article
- The Role of Negative Emotions Pre- and Post-Implementation of Graphic Health Warnings: Longitudinal Evidence from South Korea.International journal of environmental research and public health · 2020Article
- The Effectiveness of Online Messages for Promoting Smoking Cessation Resources: Predicting Nationwide Campaign Effects From Neural Responses in the EX Campaign.Frontiers in human neuroscience · 2020Article
- Advancing Tobacco Product Warning Labels Research Methods and Theory: A Summary of a Grantee Meeting Held by the US National Cancer Institute.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Review
- Promoting adolescent health: insights from developmental and communication neuroscience.Behavioural public policy · 2019Article
- Adolescents' Neural Response to Tobacco Prevention Messages and Sharing Engagement.American journal of preventive medicine · 2019Article
- Time-evolving dynamics in brain networks forecast responses to health messaging.Network neuroscience (Cambridge, Mass.) · 2019Article
- A functional near infrared spectroscopy (fNIRS) replication of the sunscreen persuasion paradigm.Social cognitive and affective neuroscience · 2018Article
- Associations between coherent neural activity in the brain's value system during antismoking messages and reductions in smoking.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018Article
- Path analysis of warning label effects on negative emotions and quit attempts: A longitudinal study of smokers in Australia, Canada, Mexico, and the US.Social science & medicine (1982) · 2018Article
- Smokers' Neurological Responses to Novel and Repeated Health Warning Labels (HWLs) From Cigarette Packages.Frontiers in psychiatry · 2018Article
- Calorie information and dieting status modulate reward and control activation during the evaluation of food images.PloS one · 2018Article
- Neural correlates of graphic cigarette warning labels predict smoking cessation relapse.Psychiatry research. Neuroimaging · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In order to improve our understanding of how pictorial health warning labels (HWLs) influence smoking behavior, we examined whether brain activity helps to explain smoking behavior above and beyond self-reported effectiveness of HWLs. We measured the neural response in the ventromedial prefrontal cortex (vmPFC) and the amygdala while adult smokers viewed HWLs. Two weeks later, participants' self-reported smoking behavior and biomarkers of smoking behavior were reassessed. We compared multiple models predicting change in self-reported smoking behavior (cigarettes per day [CPD]) and change in a biomarkers of smoke exposure (expired carbon monoxide [CO]). Brain activity in the vmPFC and amygdala not only predicted changes in CO, but also accounted for outcome variance above and beyond self-report data. Neural data were most useful in predicting behavioral change as quantified by the objective biomarker (CO). This pattern of activity was significantly modulated by individuals' intention to quit. The finding that both cognitive (vmPFC) and affective (amygdala) brain areas contributed to these models supports the idea that smokers respond to HWLs in a cognitive-affective manner. Based on our findings, researchers may wish to consider using neural data from both cognitive and affective networks when attempting to predict behavioral change in certain populations (e.g. cigarette smokers).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.