Two experiments were conducted to examine the processing of fear‐arousing communications, and tested predictions derived from the stage model of processing of fear‐arousing communications. The studies focused on the impact of manipulations of vulnerability to and severity of a health risk on the processing of both the fear appeal and the subsequent action recommendation, and assessed how message processing relates to attitudes, intentions, and behavior. Results confirmed predictions that vulnerability to a severe health risk induces defense motivation, which is reflected in a negative processing bias in threat appraisal and a positive processing bias in coping appraisal, which in combination promotes persuasion. The theoretical and practical implications of these findings are discussed.

Introduction: Loss to follow-up (LTFU) rates from antiretroviral treatment (ART) programmes in low- and middle-income countries (LMIC) are high, leading to poor treatment outcomes and onward transmission of HIV. Knowledge of risk factors is required to address LTFU. In this systematic review, risk factors for LTFU are identified and meta-analyses performed. Methods: PubMed, Embase, Psycinfo and Cochrane were searched for studies that report on potential risk factors for LTFU in adults who initiated ART in LMICs. Meta-analysis was performed for risk factors evaluated by at least five studies. Pooled effect estimates and their 95% confidence intervals (95% CI) were calculated using random effect models with inverse variance weights. Risk of bias was assessed and sensitivity analyses performed. Results: Eighty studies were included describing a total of 1 605 320 patients of which 87.4% from sub-Saharan Africa. The following determinants were significantly associated with an increased risk of LTFU in meta-analysis: male sex, older age, being single, unemployment, lower educational status, advanced WHO stage, low weight, worse functional status, poor adherence, nondisclosure, not receiving cotrimoxazole prophylactic therapy when indicated, receiving care at secondary level and more recent year of initiation. No association was seen for CD4⁺ cell count, tuberculosis at baseline, regimen, and geographical setting. Conclusion: There are several sociodemographic, clinical, patient behaviour, treatment-related and system level risk factors for LTFU from ART programs. Knowledge of risk factors should be used to better target retention interventions and develop tools to identify high-risk patients.

Effective interventions promoting healthier eating behavior among adolescents are urgently needed. One factor that has been shown to impact effectiveness is whether the target population accepts the intervention. While previous research has assessed adults’ acceptance of eating-related interventions, research on the opinion of adolescents is lacking. The current study addressed this gap in the literature. Two thousand seven hundred sixty four adolescents (aged 10–17 years) from four European countries answered questions about individual characteristics (socio-demographics, anthropometrics, and average daily intake of healthy and unhealthy foods) and the acceptability of ten eating-related intervention strategies. These strategies varied in type (either promoting healthy eating or discouraging unhealthy eating), level of intrusiveness, setting (home, school, broader out-of-home environment), and change agent (parents, teacher, policy makers). Based on adolescents’ acceptability ratings, strategies could be clustered into two categories, those promoting healthy eating and those discouraging unhealthy eating, with acceptability rated significantly higher for the former. Acceptability of intervention strategies was rated moderate on average, but higher among girls, younger, overweight and immigrant adolescents, and those reporting healthier eating. Polish and Portuguese adolescents were overall more accepting of strategies than UK and Dutch adolescents. Adolescents preferred intervention strategies that promote healthy eating over strategies that discourage unhealthy eating. Level of intrusiveness affected acceptability ratings for the latter type of strategies only. Various individual and behavioral characteristics were associated with acceptability. These findings provide practical guidance for the selection of acceptable intervention strategies to improve adolescents’ eating behavior.