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This study uses a three-wave prospective longitudinal survey (at 6-month intervals) to test effects of information seeking and scanning on attitudes toward marijuana among college students in Israel (N = 700). We integrate constructs from the elaboration likelihood model to contrast processes of attitude change among individuals who vary in moderators of information processing depth (motivation and ability). In addition, we test whether trust in the information source moderates these processes, and use propensity score matching to reduce bias. Results of autoregressive cross-lagged structural equation models show that scanning from interpersonal sources predicted attitudes toward marijuana among individuals who were low in elaboration motivation or ability. Seeking and scanning information about marijuana from interpersonal sources were positively associated with attitudes toward marijuana among individuals higher in elaboration motivation and ability, who had greater trust in the source. Implications for information processing models, seeking and scanning, and campaigns are discussed.

This study is a qualitative user evaluation of a chatbot designed to promote condom use in young people using motivational interviewing techniques.

Background Most research on web-based help seeking for mental health problems has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of web-based help seeking in general or in specific mental health issues. Objective This study was a systematic review and meta-analysis of the literature on the antecedents and consequences of web-based help-seeking behaviors for depressive symptoms. Methods A systematic literature search was carried out in 6 scientific databases, leading to 48 studies (for a total of 314,921 participants) included in the qualitative synthesis and 19 included in the meta-analysis. Results The results indicated a positive relationship between depressive symptoms and web-based help-seeking behaviors through online support groups (r=0.089; P=.009), and Generation Z (r=0.102; P=.008) tended to participate in support groups more than previous generations. In addition, web-based help seeking was positively related to empowerment (r=0.245; P=.004). Other forms of support reported included the internet and specific self-help tools, but no significant relationships were found with depressive symptoms. Conclusions More studies examining the outcomes are needed, together with a more rigorous assessment of web-based help-seeking behaviors. Ultimately, we propose a summary framework for the literature on this topic, including the antecedents, patterns of use, and outcomes of web-based help seeking in the context of depressive symptoms.

BACKGROUND The question of whether some health information is true or false has gained new momentum since the advent of the Internet. Undoubtedly, more health information is available since it can be retrieved quickly and without much expense. As parties with vested interests may post information filtered through the lenses of their interests, as persons without formal qualifications are allowed to post, and as the identification of a trustworthy source of data is beyond many users, it is very likely that there is misinformation on the web, and that the misinformation in total has increased. OBJECTIVE This study aims to contribute to the knowledge of when and how (and maybe why) there is an input of erroneous information to the mental health discussions in online communities for mental health (OCMH). As the discussions (including original posts, comments, comments to these comments, etc.) have been publicly available (to those participating online groups) for some time, the misinformation remains on the site. During the time the information posted is available, it can spread. This study aims to identify contexts that ease the storing of misinformation or help to find it. METHODS We tested whether differentiation in socio-demographic and communication variables was able to form argumentative contexts (or niches) that made it more likely for interested persons to come across misinformation while looking for correct information. The opposite side of the differentiation would be qualities that impede the spread of erroneous information. The research was a content analysis of 1534 comments (144 first posts) about two Italian-speaking Facebook groups. Two indicators were computed: the prevalence of erroneous content and the failure to attend to errors. RESULTS The study found that about one-third (32.0%. 407/1534) contained medically inaccurate information or challenged medical expertise. However, only a fifth of those (20.6%, 84/407) having at least one misinforming statement were corrected or discussed. We identified data that could be understood as markers of erroneous information. That hope was not often fulfilled. In many cases, the differentiating variable did not differentiate much. However, some differences emerged. Competence-moderation of OCMHs appears to be a stronger impediment to erroneous information than empathy-moderated. Patients searching for psychic causes for physical symptoms behaved differently from others in many respects, as well as those that may support misinformation. Differences between communication variables and misinformation were also found in posts about suicide and anxiety disorders, while there seemed to be no association between depression and Covid-19. Treatment was the primary subject of illness trajectories, with some propensity to help with erroneous information. CONCLUSIONS A crucial question is: Are the error markers or misinformation niches identified indicative of the demands for more patient empowerment in online mental health communities? Demands are often invoked without a guarantee that an empowered person would be capable of taking over the part of a newly autonomous co-determinant of his health. Furthermore, the results evidenced the necessity of experts in these communities. CLINICALTRIAL International registered report identifier (irrid): PRR1-10.2196/35347

BACKGROUND Adults of low socioeconomic position (SEP) are generally less physically active than those who are more socioeconomically advantaged, which increases their cardiovascular disease incidence risk. Moreover, individuals of low SEP are often less easily reached with physical activity (PA) interventions than individuals of higher SEP. Smartphone apps have been presented as a promising platform for delivering PA interventions to difficult-to-reach individuals of low SEP. Although PA apps are widely available, they are rarely based on health behavior theories and most predominantly offer generic PA advice. Consequently, it is unlikely that available apps are the most effective PA intervention tools. OBJECTIVE To respond to these areas for improvement, we developed SNapp, an app-based intervention encouraging adults of low SEP to increase PA by providing tailored coaching messages targeting walking behavior. This study aimed to describe SNapp’s stepwise development and pilot evaluation process. METHODS We applied a stepwise approach: analyzing the health problem, developing a program framework, developing tailoring assessments, writing tailored messages, automating the tailoring process, and implementing and evaluating the program in a qualitative pilot study (11 participants). RESULTS SNapp consisted of several elements. First, an app was developed to collect step count and geolocation data using smartphone sensor functionalities. In addition, a survey measure was created to assess users’ behavior change technique (BCT) preferences. These 3 data types were used to tailor SNapp’s coaching messages to stimulate walking. This allows SNapp to offer feedback on performance levels, contextually tailored prompts when users are near green spaces, and coaching content that aligns with individual BCT preferences. Finally, a server-based Python program that interacts with databases containing user data and tailored messages was built using Microsoft Azure to select and automatically send messages to users through Telegram messenger. Pilot study findings indicated that SNapp was rated positively, with participants reporting that its design, technical functioning, and message content were acceptable. Participants suggested additional functionalities that are worth considering for future updates. CONCLUSIONS SNapp is an app-based intervention that aims to promote walking in adults of low SEP by offering tailored coaching messages. Its development is theory based, and it is among the first to incorporate contextualized feedback and content tailored to individual BCT preferences. The effectiveness of SNapp will be evaluated in a 12-month real-life parallel cluster-randomized controlled trial.

BACKGROUND Most research on online help-seeking for mental health issues has focused on the antecedents of this behavior. Therefore, little is known about the outcomes of online help-seeking in general or for specific mental health issues. OBJECTIVE This article presents a systematic review of studies on both the antecedents and the consequences of online help-seeking behaviours for depressive symptoms. METHODS After a systematic literature search has been carried out in six scientific databases, 42 studies were included in the qualitative synthesis, of which 18 were considered in the meta-analysis. RESULTS Results indicate that people with depressive symptoms seek help online differently (e.g., using online support groups, the Internet or specific self-help tools). Additionally, people of Generation Z tend to participate in online support groups more than previous generations. According to the meta-analytic findings, online help-seeking was positively related to empowerment. CONCLUSIONS More studies looking at the outcomes are needed together with a more rigorous assessment of online help-seeking behaviours. Ultimately, we propose a summary framework of the literature on this topic, including the antecedents, patterns of use, and outcomes of online help-seeking in the context of depressive symptoms.

Contains fulltext : 240021.pdf (Publisher’s version ) (Open Access) A promising avenue for health behavior change is to influence conversational valence, that is, the extent to which people talk negatively or positively about health behaviors. However, no research to date has experimentally manipulated conversational valence, thereby inhibiting conclusions about causal inferences. This study aims to fill this gap by investigating the influence of conversational valence instructions on perceived conversational valence and subsequent binge drinking determinants. College students (N = 138) read either negative or positive conversational valence instructions. Subsequently, dyads engaged in a 5-min conversation about drinking, before self-reporting perceived conversational valence and binge drinking determinants (i.e., attitudes, norms, perceived behavioral control, and intentions). Results revealed that valence instructions influenced binge drinking determinants via perceived conversational valence. Those instructed to talk negatively about binge drinking reported healthier binge drinking determinants than those instructed to talk positively. Furthermore, this effect on binge drinking determinants was mediated by perceived conversational valence. These findings demonstrate that conversational valence about health can be manipulated through simple instructions and confirm the idea that conversational valence is causally linked to binge drinking determinants. Thereby, these findings show the potential that interpersonal communication in general, and conversational valence instructions, in particular, have when integrated in health interventions. 7 p.

This study analyzes news media coverage about cancer screening in the Netherlands. We investigate the volume, tone and content of news media reports, how media coverage may have changed over time (2010 to 2022), how it may differ for different cancer types, and how information about cancer screening in news media reports is contextualized. The tone and content of news media reports will be analyzed in a two-step approach. First, we will manually (double-)code a subset of the corpus. Next, we will develop machine learning classifiers using traditional models and state-of-the-art models to investigate whether they can reliably classify the full corpus. This preregistration describes the analysis plan based on the manually coded dataset. The analyses will be only applied on the full corpus if the machine learning classifiers can reliably classify the content of news reports.

Item does not contain fulltext Digital health interventions for sexual health promotion have evolved considerably alongside innovations in technology. Despite these efforts, studies have shown that they do not consistently result in the desired sexual health outcomes. This could be attributed to low levels of user engagement, which can hinder digital health intervention effectiveness, as users do not engage with the system enough to be exposed to the intervention components. It has been suggested that conversational agents (automated two-way communication systems e.g. Alexa) have the potential to overcome the limitations of prior systems and promote user engagement through the increased interactivity offered by bidirectional, natural language-based interactions. The present review, therefore, provides an overview of the effectiveness and user acceptability of conversational agents for sexual health promotion. A systematic search of seven databases provided 4534 records, and after screening, 31 articles were included in this review. A narrative synthesis of results was conducted for effectiveness and acceptability outcomes, with the former supplemented by a meta-analysis conducted on a subset of studies. Findings provide preliminary support for the effectiveness of conversational agents for promoting sexual health, particularly treatment adherence. These conversational agents were found to be easy to use and useful, and importantly, resulted in high levels of satisfaction, use and intentions to reuse, whereas user evaluations regarding the quality of information left room for improvement. The results can inform subsequent efforts to design and evaluate these interventions, and offer insight into additional user experience constructs identified outside of current technology acceptance models, which can be incorporated into future theoretical developments. 15 p.

People making food choices are often exposed to different cues that can activate relevant goals that influence the choice outcome. Hedonic goals are frequently primed by advertising while health policy enlists primes that activate health goals in the moment of food decision-making – e.g., healthy food labels. However, little is known about the effect of such goal-priming cues on the population level and how people respond when exposed to both types of primes simultaneously. The results of this study, based on a large, representative sample (N = 1200), show no effect of health-goal priming on healthy food choices. Being exposed to a sole hedonic prime, however, reduces healthy choices by 3%. This effect completely disappeared when both primes were presented at the same time. All effects remained insensitive to people’s gender, hunger status, level of dietary restraint, and BMI. These findings cast doubt over the effectiveness of health goal primes as a tool to increase healthy food choices but suggest a protective effect against competing hedonic primes and could thereby prevent less healthy choices.

BackgroundA medication-related Clinical Decision Support System (CDSS) is an application that analyzes patient data to provide assistance in medication-related care processes. Despite its potential to improve the clinical decision-making process, evidence shows that clinicians do not always use CDSSs in such a way that their potential can be fully realized. This systematic literature review provides an overview of frequently-reported barriers and facilitators for acceptance of medication-related CDSS.Materials and methodsSearch terms and MeSH headings were developed in collaboration with a librarian, and database searches were conducted in Medline, Scopus, Embase and Web of Science Conference Proceedings. After screening 5404 records and 140 full papers, 63 articles were included in this review. Quality assessment was performed for all 63 included articles. The identified barriers and facilitators are categorized within the Human, Organization, Technology fit (HOT-fit) model.ResultsA total of 327 barriers and 291 facilitators were identified. Results show that factors most often reported were related to (a lack of) usefulness and relevance of information, and ease of use and efficiency of the system.DiscussionThis review provides a valuable insight into a broad range of barriers and facilitators for using a medication-related CDSS as perceived by clinicians. The results can be used as a stepping stone in future studies developing medication-related CDSSs.

Background Physical activity (PA) can increase mental and physical health in adults aged 50 years and older. However, it has been shown that PA guidelines are often not met within this population. Therefore, our research group developed 2 computer-tailored intervention programs in the last decade to stimulate PA: Active Plus and I Move. Although these programs were proven effective, positive effects diminished over time and attrition rates were relatively high. To respond to this, we will integrate 3 interactive mobile elements into the existing programs: activity tracker, ecological momentary intervention program, and virtual coach app. Objective The goal of the research is to define systematic and evidence-based steps for extending our online computer-based PA intervention programs with 3 interactive mobile elements. Methods Components often included in other (eHealth) design models were identified as key components and served as a base for the definition of systematic steps: exploration of context, involvement of the target population, prototype and intervention testing, and implementation. Based on these key components, 10 systematic steps were defined. The initial step is a literature search, with the results serving as a base for development of the low-fidelity prototypes in step 2. The pilot phase comprises the 3rd to 6th steps and includes semistructured interviews, pilot tests, and adaptations of the prototypes with intensive involvement of the target population of adults aged 50 years and older, where particular attention will be paid to lower educated persons. The 7th step is an effect evaluation in the form of a randomized controlled trial. During the 8th step, the most effective intervention programs will be selected and reinforced. These reinforced intervention programs will be used during the design of an implementation plan in the 9th step and the subsequent field study in the 10th step. Results The project will be executed from December 2019 to December 2023. During this period, the systematic approach presented will be practically executed according to the methodological procedures described. Conclusions Based on the 4 identified key components, we were able to design an evidence-based systematic design approach for separately adding 3 mobile elements to our existing online PA intervention programs. The 10 steps are presented as a useful approach to guide future eHealth design studies. International Registered Report Identifier (IRRID) DERR1-10.2196/31677

BACKGROUND Physical activity (PA) can increase mental and physical health in adults aged 50 years and older. However, it has been shown that PA guidelines are often not met within this population. Therefore, our research group developed 2 computer-tailored intervention programs in the last decade to stimulate PA: Active Plus and I Move. Although these programs were proven effective, positive effects diminished over time and attrition rates were relatively high. To respond to this, we will integrate 3 interactive mobile elements into the existing programs: activity tracker, ecological momentary intervention program, and virtual coach app. OBJECTIVE The goal of the research is to define systematic and evidence-based steps for extending our online computer-based PA intervention programs with 3 interactive mobile elements. METHODS Components often included in other (eHealth) design models were identified as key components and served as a base for the definition of systematic steps: exploration of context, involvement of the target population, prototype and intervention testing, and implementation. Based on these key components, 10 systematic steps were defined. The initial step is a literature search, with the results serving as a base for development of the low-fidelity prototypes in step 2. The pilot phase comprises the 3rd to 6th steps and includes semistructured interviews, pilot tests, and adaptations of the prototypes with intensive involvement of the target population of adults aged 50 years and older, where particular attention will be paid to lower educated persons. The 7th step is an effect evaluation in the form of a randomized controlled trial. During the 8th step, the most effective intervention programs will be selected and reinforced. These reinforced intervention programs will be used during the design of an implementation plan in the 9th step and the subsequent field study in the 10th step. RESULTS The project will be executed from December 2019 to December 2023. During this period, the systematic approach presented will be practically executed according to the methodological procedures described. CONCLUSIONS Based on the 4 identified key components, we were able to design an evidence-based systematic design approach for separately adding 3 mobile elements to our existing online PA intervention programs. The 10 steps are presented as a useful approach to guide future eHealth design studies. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/31677

BACKGROUND The last decade has seen a substantial increase in the use of mobile health apps and research into the effects of those apps on health and health behaviors. In parallel, research has aimed at identifying population subgroups that are more likely to use those health apps. Current evidence is limited by two issues. First, research has focused on broad health apps, and little is known about app usage for a specific health behavior. Second, research has focused on comparing current users and current nonusers, without considering subgroups of nonusers. OBJECTIVE We aimed to provide profile distributions of current users, previous users, and informed nonusers, and to identify predictor variables relevant for profile classification. METHODS Data were available from 1683 people who participated in a Dutch walking event in Amsterdam that was held in September 2017. They provided information on demographics, self-reported walking behavior, and walking app usage, as well as items from User Acceptance of Information Technology, in an online survey. Data were analyzed using discriminant function analysis and multinomial logistic regression analysis. RESULTS Most participants were current walking app users (899/1683, 53.4%), while fewer participants were informed nonusers (663/1683, 39.4%) and very few were previous walking app users (121/1683, 7.2%). Current walking app users were more likely to report walking at least 5 days per week and for at least 30 minutes per bout (odds ratio [OR] 1.44, 95% CI 1.11-1.85; P=.005) and more likely to be overweight (OR 1.72, 95% CI 1.24-2.37; P=.001) or obese (OR 1.49, 95% CI 1.08-2.08; P=.005) as compared with informed nonusers. Further, current walking app users perceived their walking apps to be less boring, easy to use and retrieve information, and more helpful to achieve their goals. Effect sizes ranged from 0.10 (95% CI 0.08-0.30) to 1.58 (95% CI 1.47-1.70). CONCLUSIONS The distributions for walking app usage appeared different from the distributions for more general health app usage. Further, the inclusion of two specific subgroups of nonusers (previous users and informed nonusers) provides important information for health practitioners and app developers to stimulate continued walking app usage, including making information in those apps easy to understand and making it easy to obtain information from the apps, as well as preventing apps from becoming boring and difficult to use for goal attainment.

Cue-Exposure Therapy (CET) is considered an effective strategy to combat cigarette cravings and smoking relapses, but evidence is mixed. In this lab-based experimental study, we manipulated levels of realism for smoking scenarios in Virtual Environments (VE) and randomly exposed smokers and recent-quitters to one of two versions (low versus high realism) of these scenarios. Prior and after scenario exposure, valid measures of cigarette craving were obtained. Prior to exposure, we assessed nicotine dependence and smoking status (current smokers versus recent-quitter). Within-subject repeated measures analysis of covariance showed that there was an interaction of experimental condition with smoking status on cigarette craving. Amongst recent-quitters, high realistic scenarios produced stronger increases in craving than low realistic scenarios, but this effect was reversed in current smokers. It is concluded that VE technologies are a potentially relevant tool for smoking CET that warrant further exploration.

Background Unhealthy lifestyle behaviours such as unhealthy dietary intake and insufficient physical activity (PA) tend to cluster in adults with a low socioeconomic position (SEP), putting them at high cardiometabolic disease risk. Educational approaches aiming to improve lifestyle behaviours show limited effect in this population. Using environmental and context-specific interventions may create opportunities for sustainable behaviour change. In this study protocol, we describe the design of a real-life supermarket trial combining nudging, pricing and a mobile PA app with the aim to improve lifestyle behaviours and lower cardiometabolic disease risk in adults with a low SEP. Methods The Supreme Nudge trial includes nudging and pricing strategies cluster-randomised on the supermarket level, with: i) control group receiving no intervention; ii) group 1 receiving healthy food nudges (e.g., product placement or promotion); iii) group 2 receiving nudges and pricing strategies (taxing of unhealthy foods and subsidizing healthy foods). In collaboration with a Dutch supermarket chain we will select nine stores located in low SEP neighbourhoods, with the nearest competitor store at > 1 km distance and managed by a committed store manager. Across the clusters, a personalized mobile coaching app targeting walking behaviour will be randomised at the individual level, with: i) control group; ii) a group receiving the mobile PA app. All participants (target n = 1485) should be Dutch-speaking, aged 45–75 years with a low SEP and purchase more than half of their household grocery shopping at the selected supermarkets. Participants will be recruited via advertisements and mail-invitations followed by community-outreach methods. Primary outcomes are changes in systolic blood pressure, LDL-cholesterol, HbA1c and dietary intake after 12 months follow-up. Secondary outcomes are changes in diastolic blood pressure, blood lipid markers, waist circumference, steps per day, and behavioural factors including healthy food purchasing, food decision style, social cognitive factors related to nudges and to walking behaviours and customer satisfaction after 12 months follow-up. The trial will be reflexively monitored to support current and future implementation. Discussion The findings can guide future research and public health policies on reducing lifestyle-related health inequalities, and contribute to a supermarket-based health promotion intervention implementation roadmap. Trial registration Dutch Trial Register ID NL7064, 30th of May, 2018

Additional file 1: Tables with information on the food products to (not) be targeted in the supermarket (Table S1), on the types of healthy food nudges and examples of in-store use (Table S2), and the implementation fidelity checklist (Table S3).

Background Sitting time is associated with adverse physical and mental health outcomes, and premature mortality. Office workers sit for prolonged periods, so are at particular risk. Scientific advances in public health threats are predominantly communicated to the public through media reports. Aims This study aimed to examine office workers’ impromptu responses to media coverage of scientific evidence related to the health risks of sedentary behaviour. Methods Semi-structured interviews were run with 26 office workers (mean age 35 years), recruited from four organizations in southern England. Within the interview, each participant provided a ‘think-aloud’ narrative as they read three real-world news reports relating to sedentary behaviour. Thematic analysis was conducted on verbatim transcripts. Results Three themes were extracted from the data: gauging the personal relevance of the news reports; questioning their trustworthiness and challenging the feasibility of proposed sitting-reduction strategies. Participants voiced scepticism about the applicability of the reports to their personal circumstances, and the validity of the reports and the scientific evidence underpinning them. Conclusions Researchers, press officers and journalists should emphasise the ways in which participants in research studies represent the broader population of office workers, and offer greater transparency in reporting study methods, when reporting scientific advances in sedentary behaviour.

Good dental hygiene is key to public health. To promote dental hygiene behaviours, persuasive messages are key. Message framing is a popular theory that has seen mixed evidence. In this web-based experimental study, interaction effects of message frame, behavioural function, and risk priming were investigated on mouth rinse use and intentions in a representative sample of Dutch adults. Final included sample contained 549 participants (50.1% male, mean age = 47.4, SD = 16.1) and outcomes were immediate mouth rinse product choice, intentions to use mouth rinse, and mouth rinse behaviour at 2-week follow-up. Results demonstrated a theorized significant interaction between message frame and behavioural function were mouth rinse product choice. Two-week follow-up mouth rinse behaviour was affected by an interaction between message frame and risk prime. Message framing can thus be employed to promote dental health, but it requires attention to moderation effects which are inconsistent across behavioural outcomes.

Contains fulltext : 160641.pdf (Publisher’s version ) (Open Access) Health-promoting messages can be framed in terms of the beneficial consequences of healthy behaviour (gain-framed messages) or the detrimental consequences of unhealthy behaviour (loss-framed messages). An influential notion holds that the perceived risk associated with the recommended behaviour determines the relative persuasiveness of gain- and loss-framed messages. This 'risk-framing hypothesis', which was derived from prospect theory, has been central to health message-framing research for the better part of two decades and has enduring appeal to researchers and practitioners. It has found its way into several health communication handbooks and is communicated to the general public. The present article examines the validity of the risk-framing hypothesis anew by providing a review of the health message-framing literature. In spite of its ongoing appeal, we conclude that the hypothesis has severe theoretical flaws. In addition, we find that the empirical evidence in favour of the hypothesis is weak and inconsistent. It seems that, in applying prospect theory's tenets to a health-promotion context, some of the theory's key aspects have been lost in translation. At the close of the article, we offer a research agenda for the future, arguing that, above all, new methodology is needed to bring the message-framing literature further. 13 p.

Although research has demonstrated that interpersonal communication about alcohol influences drinking behaviors, this notion has mainly been examined in offline contexts with familiar conversation partners. The present study investigated how communication mode and familiarity influence conversational valence (i.e., how negatively or positively people talk) and binge drinking norms. During a 2 (offline vs. online communication) × 2 (unfamiliar vs. familiar conversation partner) lab experiment, participants (N = 76) were exposed to an anti–binge drinking campaign, after which they discussed binge drinking and the campaign. Binge drinking norms were measured 1 week before and directly after the discussion. Results revealed that conversations between unfamiliar conversation partners were positive about the campaign, especially in offline settings, subsequently leading to healthier binge drinking norms. We recommend that researchers further investigate the influence of communication mode and familiarity on discussion effects, and we suggest that health promotion attempts might benefit from eliciting conversations about anti–binge drinking campaigns between unfamiliar persons.

Curbside recycling has been a very successful neighborhood-level intervention designed to maximize waste containment, but many communities have specific limitations on what products can be recycled within their community bins and must rely on depots for recycling these specialty items. The purpose of this study was to examine an extended theory of planned behavior (TPB) that included both affective and instrumental attitudes and a planning construct to predict depot specialty recycling in a community sample across 1 month. Participants were 176 residents of detached homes who completed baseline measures of TPB and self-reported behavior 1 month later. Structural equation modeling identified a modest fit of the TPB, and 48% variance of depot recycling behavior was explained with the constructs of intention, planning, and perceived behavioral control, yet these constructs did not perform as well in predicting change in behavior across 4 weeks. Although proximity to the recycling depot did not relate to behavior, it significantly moderated the planning–recycling behavior relationship, whereby those who lived closer to the depot had larger planning–behavior relations than those who lived further away. Developing plans to recycle may help in addition to motivation, but these are still contingent on there being an easy commuting distance to a depot.

Health campaign effects may be improved by taking interpersonal communication processes into account. The current study, which employed an experimental, pretest-posttest, randomized exposure design (N = 208), investigated whether the emotions induced by anti-alcohol messages influence conversational valence about alcohol and subsequent persuasion outcomes. The study produced three main findings. First, an increase in the emotion fear induced a negative conversational valence about alcohol. Second, fear was most strongly induced by a disgusting message, whereas a humorous appeal induced the least fear. Third, a negative conversational valence elicited healthier binge drinking attitudes, subjective norms, perceived behavioral control, intentions, and behaviors. Thus, health campaign planners and health researchers should pay special attention to the emotional characteristics of health messages and should focus on inducing a healthy conversational valence.

The present study experimentally investigated the interplay between interpersonal communication and health message exposure in relation to alcohol consumption intentions. Participants were 174 students who took part in a study on the effects of an antialcohol message. At baseline, the authors assessed intention to refrain from binge drinking. At the second wave (2 weeks later), participants were assigned to the conditions of a 2 (antialcohol message or no-alcohol message) × 2 (alcohol conversation or control conversation) between-subjects design, after which intention was again assessed. Results showed that when participants talked about alcohol (instead of the control topic) and were not exposed to an antialcohol message, they were less inclined to refrain from binge drinking, an effect that was not visible when participants talked about alcohol after viewing an antialcohol message. These findings suggest that health campaign exposure moderates the influence of interpersonal communication on health variables.

To study the effects of framed messages on exercise intention and resolve.Two (type of frame: gain or loss) × 2 (type of kernel state: desirable or undesirable outcome) post-test study.Participants were recruited online and questioned about their previous exercise behaviour and their exercise risk perception. After this, they were randomly allocated to one of four messages that were different in terms of positive or negative outcomes (type of frame) and in terms of attained or avoided outcomes (type of kernel state). After reading the message, participants indicated their intention and resolve to engage in sufficient exercise.No effects were found for intention. For resolve, there was a significant interaction between type of frame, type of kernel state, and exercise adherence. Those who did not adhere to the exercise guideline and read the loss-framed message with attained outcomes reported significantly higher resolve than all other participants.This study indicates the relevance of including attained outcomes in message framing exercise interventions as well as a focus on exercise resolve.What is already known on this subject? Message framing is commonly used to increase exercise intentions and behaviour. Meta-analyses do not provide consistent support for this theory. Very little attention has been paid to resolve and message factors on framing effects. What does this study add? Framed messages have an effect on exercise resolve, but not on intention. Loss-framed messages with attained outcomes are most persuasive for those who do not adhere to exercise guidelines. Exercise framing studies should include behavioural resolve next to intention. .