Weight Loss Program Preferences of Men Working in Blue-Collar Occupations: A Qualitative Inquiry.

Men who work in blue-collar occupations (skilled and unskilled trades) experience high rates of obesity and comorbid conditions. This group is underrepresented in behavioral interventions for weight management, which may stem from a mismatch between the features of available programs and these men's preferences. This qualitative study explored the views of these men, their experiences with weight loss, their preferences for weight loss programs, and messaging related to these programs. We conducted remote interviews with 20 men (age: 43 ± 13 years, M ± SD) currently working in blue-collar occupations (50% construction, 25% transportation, and 25% manufacturing) who had body mass indices (BMIs) in the overweight/obese categories (BMI: 33 ± 6 kg/m2). Deductive codes and summary themes were developed and discussed by the first two authors. A selection of transcripts was reviewed following theme development to confirm accuracy of the themes. Most participants (n = 16, 80%) reported a prior weight loss attempt. The most common approaches to weight loss reported were increased exercise and following their own approach to changing diet (e.g., "eating less junk food"). For program and message preferences, two major themes emerged: participants wanted accurate and trustworthy information and wanted programs that fit their lifestyle. Results suggest that weight loss programs targeting men working in blue-collar occupations should emphasize the accuracy of information related to the program and the ease of incorporating it into participants' lifestyles. There is an urgent need to incorporate these preferences into effective programs.

Outcomes of Healthy Eating Ad Campaigns: A Systematic Review.

Social marketing campaigns seeking to promote healthy eating hold promise in precision messaging and behavior change related to a key component of healthy living medicine. A systematic review that examines the behaviors promoted against their success is lacking. Of interest is the consideration of stop or go behaviors, such as not eating fast food or increasing the consumption of fruits and vegetables, respectively. We systematically searched five databases for peer-reviewed quantitative articles examining healthy eating campaigns that included at least one ad. We found evidence that campaigns with both stop and go outcomes (such as swapping) and outcomes that were not clarifying whether they were stop or go (such as calling a coach) tended to be more successful than campaigns with simple stop or go outcomes. Further, campaigns that were longer than six months seemed consistently successful. However, with 14 included studies, it is clear that further research is needed.

Applying Precision Medicine to Healthy Living for the Prevention and Treatment of Cardiovascular Disease.

Healthy living medicine (HLM) is an emerging concept that recognizes the importance of: (1) Moving more and sitting less; (2) Consuming a healthy diet at the appropriate caloric load; (3) Maintaining a healthy body weight; and (4) Not smoking. Suffice to say, HLM should be practiced by all health professionals, prescribing a personalized healthy living polypill to individuals under their care while titrating the dosage for optimal adherence and therapeutic efficacy. Traditionally, HLM, particularly when practiced in the context of physical activity and diet, is commonly viewed as an all-or-none and one-size-fits-all paradigm. As an example, there has been a dichotomous perception to physical activity messaging, where achieving anything less than 150 minutes of moderate-intensity physical activity per day is not beneficial. The same holds true for the all-or-none perception of 5 servings of fruits and vegetables per day; anything less is not beneficial. While these are certainly desirable targets, healthy living practices at levels below current guidelines portend significant health benefits. Precision medicine is defined as "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." Much of the focus in precision medicine has been directed toward genomics and only recently has the influence of environment and lifestyle been considered. This review will highlight the importance of HLM directed toward the prevention and treatment of chronic diseases in the context of precision medicine.

Subduing attitude polarization?

Researchers have sought to understand the effects of like-minded versus contrary news exposure on attitude polarization, which can be a threat to democracy. The online news environment offers opportunities for exposure to both types of news, albeit unequally. This study tests the effects of exposure to heterogeneous partisan news bundles (both like-minded and contrary news) on attitude polarization. Because media exposure can lead to bias, attitude polarization is tested as a direct and indirect effect via hostile media perceptions. Data in this study are from a between-subjects experimental design about the issue of assisted suicide. Results indicate that even though the effect of the partisan news bundle on hostile media perceptions is significant, both direct and indirect effects on attitude polarization are null.

LMFAO! Humor as a Response to Fear: Decomposing Fear Control within the Extended Parallel Process Model.

This study seeks to analyze fear control responses to the 2012 Tips from Former Smokers campaign using the Extended Parallel Process Model (EPPM). The goal is to examine the occurrence of ancillary fear control responses, like humor. In order to explore individuals' responses in an organic setting, we use Twitter data-tweets-collected via the Firehose. Content analysis of relevant fear control tweets (N = 14,281) validated the existence of boomerang responses within the EPPM: denial, defensive avoidance, and reactance. More importantly, results showed that humor tweets were not only a significant occurrence but constituted the majority of fear control responses.

Self-Determination Theory and Computer-Mediated Support: Modeling Effects on Breast Cancer Patient's Quality-of-Life.

A breast cancer diagnosis typically results in dramatic and negative effects on an individual's quality of life. Web-based interactive support systems such as the Comprehensive Health Enhancement Support System (CHESS) offer one avenue for mitigating these negative effects. While evidence supports the efficacy of such systems, evaluations typically fail to provide a true test of the theorized model of effects, treating self-determination theory's constructs of competence, relatedness, and autonomy as outcomes rather than mediators. Using path analysis, this study tests the nature of the proposed mediated relationship between system engagement and quality-of-life indicators utilizing data collected from women (N = 90) who participated in the treatment condition of a CHESS randomized controlled trial. Findings support a latent model, indicating that system effects are mediated through an intertwined measure of autonomy, competence, and relatedness.