scholarly journals Brain Activity in Self- and Value-Related Regions in Response to Online Antismoking Messages Predicts Behavior Change

2015 ◽  
Vol 27 (3) ◽  
pp. 93-109 ◽  
Author(s):  
Nicole Cooper ◽  
Steve Tompson ◽  
Matthew Brook O’Donnell ◽  
B. Falk Emily

Abstract. In this study, we combined approaches from media psychology and neuroscience to ask whether brain activity in response to online antismoking messages can predict smoking behavior change. In particular, we examined activity in subregions of the medial prefrontal cortex linked to self- and value-related processing, to test whether these neurocognitive processes play a role in message-consistent behavior change. We observed significant relationships between activity in both brain regions of interest and behavior change (such that higher activity predicted a larger reduction in smoking). Furthermore, activity in these brain regions predicted variance independent of traditional, theory-driven self-report metrics such as intention, self-efficacy, and risk perceptions. We propose that valuation is an additional cognitive process that should be investigated further as we search for a mechanistic explanation of the relationship between brain activity and media effects relevant to health behavior change.

2018 ◽  
Author(s):  
Janet Leigh Thomas ◽  
Meredith Schreier ◽  
Xianghua Luo ◽  
Sue Lowry ◽  
Deborah Hennrikus ◽  
...  

BACKGROUND Exposure to secondhand smoke (SHS) early in life increases the risk of sudden infant death syndrome (SIDS), asthma, and respiratory illnesses. Since children’s primary exposure to SHS occurs in the home, these most vulnerable members of our society are not fully protected by recent increases in the adoption of smoking bans in public spaces. Although exposure to SHS is a quickly reversible cause of excess morbidity, few low-income homes strictly enforce smoking restrictions. OBJECTIVE This study aims to test a novel approach to motivate the adoption of home smoking restrictions and to eliminate child SHS exposure by providing parents with objective data documenting home SHS exposure and “biomarker feedback” of child ingestion of tobacco toxins, that is, objective, laboratory-based results of assays performed on child urine, documenting levels of nicotine; cotinine; and NNAL (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol), which is a metabolite of the known tobacco carcinogen NNK (4-[methylnitro-samino]-1-[3-pyridyl]-1-butanone). METHODS From 2011 to 2013, 195 low-income, female smokers with children aged ≤10 years residing in their homes were recruited into a two-arm randomized clinical trial. Participants were assigned to one of two groups: biomarker feedback (n=98) and health education (n=97). In-home assessments were administered at baseline, week 16, and week 26. Children’s home SHS exposure and nicotine, cotinine, and NNAL levels from urine samples, measured through a passive nicotine dosimeter and a surface sample of residual tobacco smoke (ie, thirdhand smoke), were collected at all three time points. Primary outcome was dosimeter-verified, self-reported complete home smoking restrictions at 6 months after randomization. Secondary outcomes included parental self-report of smoking behavior change and child urine tobacco toxin (biomarker) change. RESULTS Data collection and analyses are complete, and the results are being interpreted. CONCLUSIONS The study protocol describes the development of a novel community-based controlled trial designed to examine the efficacy of biomarker feedback documenting home and child exposure to SHS on parental smoking behavior change. INTERNATIONAL REGISTERED REPORT RR1-10.2196/12654


Author(s):  
Benjamin Gardner ◽  
Amanda L. Rebar

Many of the most pressing societal issues—e.g., health, illness, and associated costs; climate change—are rooted in behavior. Even small changes to everyday behaviors can bring considerable benefits. Many people successfully adopt new behaviors but fail to maintain them over time. This problem has inspired interest in habit. Within psychology, habitual behaviors are defined as actions triggered automatically when people encounter situations in which they have consistently done them in the past. Repeating behavior in the same context reinforces mental associations between the context and behavior. Habit is said to have formed when exposure to the context non-consciously activates the association, which in turn elicits an urge to act, influencing behavior with minimal conscious forethought. As an initially goal-directed behavior becomes habitual, control over behavior is transferred from a reasoned, reflective processing system, which elicits behavior relatively slowly based on conscious motivation, to an impulsive system, which elicits behavior rapidly and efficiently, based on learned context-behavior associations. Habitual behaviors thus become detached from conscious motivational processes. Spurred by development of self-report habit measures, studies have modeled the relationship between behavioral repetition and the strengthening of habit, showing that habit is characterized by initially rapid growth, which decelerates until a plateau is reached. Theories propose that habit has two effects on behavior in the associated context: habit will prompt frequent performance, and will override motivational tendencies in doing so, unless self-control is particularly strong in that moment. People may therefore continue to perform a habitual action even when they lack motivation. These characteristics have generated interest in the potential for habit to support long-term adoption of new behaviors. People often fail to maintain behavior changes because they lose motivation, but if people were to form habits for new behaviors, they should in theory continue to perform them despite losing motivation. This has prompted calls for interventions to move beyond merely promoting new behaviors, toward advocating context-dependent habitual performances. Some have also argued that habit formation may be fruitful for stopping unwanted behaviors, because new, “good” habits can be directly substituted for existing “bad” habits. Realistically, habit formation is not a viable standalone behavior change technique, as it requires that people first adopt a new behavior, which through repetition will become habitual. The promotion of context-dependent repetition should complement techniques that reinforce the motivation and action control required for behavioral initiation and maintenance prior to habit forming. Real-world behavior change interventions based on these principles have been found to be acceptable and appealing, and show promise for changing behavior, though few have used long-term follow-up periods. This entry highlights leading work in the application of habit formation to behavior change interventions, drawing on the most methodologically and conceptually rigorous empirical research available. Most of the development and application of habit theory to real-world social contexts has been undertaken in health and pro-environmental domains. This entry thus focuses most heavily on these domains, but the principles outlined are thought to be applicable across behaviors and settings.


10.2196/12654 ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. e12654 ◽  
Author(s):  
Janet Leigh Thomas ◽  
Meredith Schreier ◽  
Xianghua Luo ◽  
Sue Lowry ◽  
Deborah Hennrikus ◽  
...  

Background Exposure to secondhand smoke (SHS) early in life increases the risk of sudden infant death syndrome (SIDS), asthma, and respiratory illnesses. Since children’s primary exposure to SHS occurs in the home, these most vulnerable members of our society are not fully protected by recent increases in the adoption of smoking bans in public spaces. Although exposure to SHS is a quickly reversible cause of excess morbidity, few low-income homes strictly enforce smoking restrictions. Objective This study aims to test a novel approach to motivate the adoption of home smoking restrictions and to eliminate child SHS exposure by providing parents with objective data documenting home SHS exposure and “biomarker feedback” of child ingestion of tobacco toxins, that is, objective, laboratory-based results of assays performed on child urine, documenting levels of nicotine; cotinine; and NNAL (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol), which is a metabolite of the known tobacco carcinogen NNK (4-[methylnitro-samino]-1-[3-pyridyl]-1-butanone). Methods From 2011 to 2013, 195 low-income, female smokers with children aged ≤10 years residing in their homes were recruited into a two-arm randomized clinical trial. Participants were assigned to one of two groups: biomarker feedback (n=98) and health education (n=97). In-home assessments were administered at baseline, week 16, and week 26. Children’s home SHS exposure and nicotine, cotinine, and NNAL levels from urine samples, measured through a passive nicotine dosimeter and a surface sample of residual tobacco smoke (ie, thirdhand smoke), were collected at all three time points. Primary outcome was dosimeter-verified, self-reported complete home smoking restrictions at 6 months after randomization. Secondary outcomes included parental self-report of smoking behavior change and child urine tobacco toxin (biomarker) change. Results Data collection and analyses are complete, and the results are being interpreted. Conclusions The study protocol describes the development of a novel community-based controlled trial designed to examine the efficacy of biomarker feedback documenting home and child exposure to SHS on parental smoking behavior change. International Registered Report Identifier (IRRID) RR1-10.2196/12654


2021 ◽  
Vol 15 ◽  
Author(s):  
Jang Soo Yook ◽  
Jihyun Kim ◽  
Jinhyun Kim

Understanding the complex neural circuits that underpin brain function and behavior has been a long-standing goal of neuroscience. Yet this is no small feat considering the interconnectedness of neurons and other cell types, both within and across brain regions. In this review, we describe recent advances in mouse molecular genetic engineering that can be used to integrate information on brain activity and structure at regional, cellular, and subcellular levels. The convergence of structural inputs can be mapped throughout the brain in a cell type-specific manner by antero- and retrograde viral systems expressing various fluorescent proteins and genetic switches. Furthermore, neural activity can be manipulated using opto- and chemo-genetic tools to interrogate the functional significance of this input convergence. Monitoring neuronal activity is obtained with precise spatiotemporal resolution using genetically encoded sensors for calcium changes and specific neurotransmitters. Combining these genetically engineered mapping tools is a compelling approach for unraveling the structural and functional brain architecture of complex behaviors and malfunctioned states of neurological disorders.


2020 ◽  
Vol 15 (10) ◽  
pp. 1111-1119
Author(s):  
B P Doré ◽  
C Scholz ◽  
E C Baek ◽  
E B Falk

Abstract Neuroimaging has identified individual brain regions, but not yet whole-brain patterns, that correlate with the population impact of health messaging. We used neuroimaging to measure whole-brain responses to health news articles across two studies. Beyond activity in core reward value-related regions (ventral striatum, ventromedial prefrontal cortex), our approach leveraged whole-brain responses to each article, quantifying expression of a distributed pattern meta-analytically associated with reward valuation. The results indicated that expression of this whole-brain pattern was associated with population-level sharing of these articles beyond previously identified brain regions and self-report variables. Further, the efficacy of the meta-analytic pattern was not reducible to patterns within core reward value-related regions but rather depended on larger-scale patterns. Overall, this work shows that a reward-related pattern of whole-brain activity is related to health information sharing, advancing neuroscience models of the mechanisms underlying the spread of health information through a population.


2020 ◽  
Vol 29 (8) ◽  
pp. 777-799
Author(s):  
Umair Majid ◽  
Aghna Wasim ◽  
Simran Bakshi ◽  
Judy Truong

The severe acute respiratory syndrome–coronavirus-2 pandemic has spread rapidly and has a growing impact on individuals, communities, and healthcare systems worldwide. At the core of any pandemic response is the ability of authorities and other stakeholders to react appropriately by promoting hygiene and social distancing behaviors. Successfully reaching this goal requires both individual and collective efforts to drastically modify daily routines and activities. There is a need to clarify how knowledge and awareness of disease influence risk perception, and subsequent behavior in the context of pandemics and global outbreaks. We conducted a scoping review of 149 studies spanning different regions and populations to examine the relationships between knowledge, risk perceptions, and behavior change. We analyzed studies on five major pandemics or outbreaks in the twenty-first century: severe acute respiratory syndrome, influenza A/H1N1, Middle East respiratory syndrome, Ebola virus disease, and coronavirus disease 2019.


2021 ◽  
Author(s):  
Mia Jovanova ◽  
Emily B. Falk ◽  
Jacob Parelman ◽  
PRATEEKSHIT PANDEY ◽  
Matthew Brook O'Donnell ◽  
...  

Objective: Modifiable behaviors, including physical activity and sedentary behavior, are important determinants of health. Health messages are important tools for influencing these behaviors. Activity in regions of the brain’s default mode and salience systems are independently associated with attending to information promoting health behavior. Interactions between these brain systems support information processing. However, it remains unclear how these brain systems interact during exposure to persuasive messages and how this interaction relates to subsequent behavior change. Here, we examine how the relative integration between default mode and salience systems while viewing health messages relates to changes in health behavior. Methods: Using wrist-worn accelerometers, we objectively logged physical activity in 150 participants (mean age=33.17 years, 64% women; 43% Black, 37% white, 7% Asian, 5% Hispanic, and 8% other) continuously for an average of 10 days. Participants then viewed health messages encouraging physical activity while undergoing functional magnetic resonance imaging (fMRI) and completed an additional month where physical activity was logged and the health messages were reinforced with daily text reminders. Results: Individuals with higher default mode and salience system integration during exposure to health messaging encouraging physical activity were more likely to decrease their sedentary behavior and increase light physical activity in the month following fMRI than participants with lower brain integration. Conclusions: Interactions between the salience and default mode systems are associated with message receptivity and subsequent behavior change, highlighting the value of expanding the focus from the role of single brain regions in health behavior change to larger-scale connectivity.


2021 ◽  
Author(s):  
Victoria Williams ◽  
Nashira Brown ◽  
Justin Xavier Moore ◽  
David Farrell ◽  
Suzanne Perumean-Chaney ◽  
...  

BACKGROUND Internet-based lifestyle programs are increasingly being used to deliver health behavior change interventions to cancer survivors. However, little is known about website use in this population or its associations with healthy lifestyle changes. OBJECTIVE To describe lifestyle intervention website use (logins, time on website, and clicks) among cancer survivors, as well as patterns of use by participant characteristics. Additionally, associations were explored between website use and changes in healthy lifestyle knowledge and practice. METHODS Thirty-five cancer survivors participated in a single-arm pilot test of the SurvivorSHINE website. Knowledge and practices related to healthful diet and physical activity behaviors were measured at baseline and follow-up. Website use (e.g., time spent on the website, frequency of logins, webpage visits, and clicks) were collected from the SurvivorSHINE administrative site during a 2-week intervention period. Patterns of use were examined by participants’ gender and race. Associations between website use and changes in healthy lifestyle knowledge, physical activity, diet, and weight were explored. Independent t-tests were used to compare website use between males and females, and Non-Hispanic Whites (NHW) and Blacks (NHB). Pearson correlations were used to examine associations between website use and behavior change. RESULTS Participants logged into the SurvivorSHINE website an average of 3.2 times (SD = 2) over the 2-week period and spent a total average of 94 minutes (SD = 56 minutes). Examining website activity, 1905 clicks were logged. The user profile (344 clicks) and the home sections (301 clicks) were the most visited components. No associations were observed between the frequency of logins or the total time on the website and improvements in knowledge-related to healthy lifestyles, nor in changes in body weight or dietary intake. However, the total time on the website was positively correlated with improvements in accelerometer-measured physical activity (r = 0.74, p = 0.02), as well as self-reported physical activity (r = 0.35, p = 0.047). CONCLUSIONS Cancer survivors demonstrated clear interest in a diet and exercise website as evidenced by their frequency of logins, clicks on numerous features, and total viewing time. Moreover, increased website usage was correlated with improvements in physical activity. CLINICALTRIAL NCT00303875, NCT00630591 INTERNATIONAL REGISTERED REPORT RR2-10.1007/s13187-021-02026-x


2020 ◽  
Vol 14 ◽  
Author(s):  
Richard Huskey ◽  
Benjamin O. Turner ◽  
René Weber

Prevention neuroscience investigates the brain basis of attitude and behavior change. Over the years, an increasingly structurally and functionally resolved “persuasion network” has emerged. However, current studies have only identified a small handful of neural structures that are commonly recruited during persuasive message processing, and the extent to which these (and other) structures are sensitive to numerous individual difference factors remains largely unknown. In this project we apply a multi-dimensional similarity-based individual differences analysis to explore which individual factors—including characteristics of messages and target audiences—drive patterns of brain activity to be more or less similar across individuals encountering the same anti-drug public service announcements (PSAs). We demonstrate that several ensembles of brain regions show response patterns that are driven by a variety of unique factors. These results are discussed in terms of their implications for neural models of persuasion, prevention neuroscience and message tailoring, and methodological implications for future research.


2018 ◽  
Vol 4 ◽  
pp. 205520761878579 ◽  
Author(s):  
Emily E Dunn ◽  
Heather L Gainforth ◽  
Jennifer E Robertson-Wilson

Objective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior have yet to be assessed for BCTs. Thus, the purpose of the present study was to review apps designed to decrease sedentary time and determine the presence of BCTs. Methods Systematic searches of the iTunes App and Google Play stores were completed using keyword searches. Two reviewers independently coded free ( n = 36) and paid ( n = 14) app descriptions using a taxonomy of 93 BCTs (December 2016–January 2017). A subsample ( n = 4) of free apps were trialed for one week by the reviewers and coded for the presence of BCTs (February 2017). Results In the free and paid app descriptions, only 10 of 93 BCTs were present with a mean of 2.42 BCTs (range 0–6) per app. The BCTs coded most frequently were “prompts/cues” ( n = 43), “information about health consequences” ( n = 31), and “self-monitoring of behavior” ( n = 17). For the four free apps that were trialed, three additional BCTs were coded that were not coded in the descriptions: “graded tasks,” “focus on past successes,” and “behavior substitution.” Conclusions These sedentary behavior apps have fewer BCTs compared with physical activity apps and traditional (i.e., non-app) physical activity and healthy eating interventions. The present study sheds light on the behavior change potential of sedentary behavior apps and provides practical insight about coding for BCTs in apps.


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