Stigmatizing Images in Obesity Health Campaign Messages and Healthy Behavioral Intentions

2015 ◽  
Vol 43 (4) ◽  
pp. 412-419 ◽  
Author(s):  
Rachel Young ◽  
Roma Subramanian ◽  
Amanda Hinnant
2017 ◽  
Vol 4 (1) ◽  
pp. 52-57
Author(s):  
Andrew C. Tollison ◽  
Jacob S. Turner

The objective of this article is twofold: (a) demonstrate the utility of cooperative–experiential learning within the health sciences curriculum and (b) diversify student classroom experiences through a health campaigns project that challenged students to creatively and strategically develop health messages. Cooperative–experiential learning is a hybrid pedagogy that exposes students to many of the complexities they can expect to face within their career, thus bridging the gap between the classroom and workplace. The health campaigns project used to appraise the value of cooperative–experiential learning in this article tasked upper-level undergraduate student groups from two unique college courses (Health Promotion and Visual Communication) to design, launch, and analyze health-relevant campaigns on the authors’ college campus. At two points throughout the semester, students independently completed reviews (cooperation reports) of their group dynamics and progress—these reports became the data set for our analysis of cooperative–experiential learning. Using a grounded theory approach (open, axial, and selective coding), the results that emerged from our analysis point to four significant themes of cooperative–experiential learning: development of communication skills, problem solving and critical thinking through cooperation, workplace preparedness, and student satisfaction. Student quotes are used to help extrapolate these four outcomes. Suggestions are offered for how to effectively incorporate cooperative–experiential learning into curriculum.


Author(s):  
Tobias Weinmann ◽  
Katja Radon ◽  
Freya Sukalla ◽  
Jessica Gerlich ◽  
Swaantje Barth ◽  
...  

Children from disadvantaged families are particularly exposed to second hand smoke in their home environment. Using a mixed methods participatory approach, we aimed at identifying suitable media channels and appropriate content for a campaign increasing caregivers’ knowledge about the risks of second hand smoke (SHS) exposure for their children and appropriate measures for exposure reduction. In the first phase of the mixed method design, we evaluated knowledge and norms about children’s SHS and perceived barriers for avoiding it. To this end, we conducted 26 one-to-one interviews with smoking caregivers of children below the age of six years. Subsequently, we developed and illustrated core messages and identified appropriate communication channels. These were evaluated in focus group discussions by 20 of the 26 interview participants. After a final revision, 121 caregivers evaluated the campaign via an online questionnaire. Online social networks were identified as the most suitable media channel. For these, we developed animated photos with voiceovers addressing the potential consequences of SHS for children. The overall rating of the campaign messages was promising. Participants confirmed that it was important to address the issue in social media. However, sharing the pictures was considered unlikely due to the sensitive topic of the campaign, while the importance of doctors or scientists being recognizable as a source was highlighted. Employing a participatory approach, we developed an m-health campaign, which can now be disseminated in social networks to reach the target population. The effectiveness of the campaign should be evaluated.


2020 ◽  
Vol 6 (2) ◽  
pp. 164-170
Author(s):  
Jessica K. Pepper ◽  
Linda B. Squiers ◽  
Carla M. Bann ◽  
Michaela C. Coglaiti

Objectives: In 2017, the US Food and Drug Administration (FDA) announced a potential new product standard lowering nicotine in cigarettes to minimally or non-addictive levels. Understanding why the public supports or opposes this standard could inform messaging efforts. Methods: We collected online survey data in 2017 from 2508 respondents. We coded and analyzed the open-ended text responses describing reasons for support or opposition among those who strongly agreed (39.9% of sample) and strongly disagreed (11.4%) with the proposed nicotine standard. Results: The most common reasons for opposition were viewing the new standard as a threat to personal freedom and believing that it would lead themselves or others to smoke more. The most common reasons for support were believing the standard would help themselves or others quit smoking and recognizing the harms of smoking and nicotine. Some responses reflected inaccurate understanding of nicotine's effects, and some themes (eg, believing the standard could prevent addiction) were more common among smokers than nonsmokers. Conclusions: Findings could inform public health campaign messages from the FDA and other agencies by building on existing reasons for support (eg, would help with cessation) and counteracting inaccurate beliefs (eg, would make people smoke more).


Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.


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