The authors examined predictors of psychological distress among women who were at increased risk for ovarian cancer. Participants were 103 women who had at least 1 first degree relative with ovarian cancer. Specifically, the authors tested the relationship between the dispositional attentional style of monitoring (the tendency to scan for threat-relevant information), perceptions of risk for ovarian cancer, intrusive thoughts regarding ovarian cancer, and psychological distress. Overall, this sample exhibited moderately high levels of psychological distress. High scores on monitoring were associated with high perceived risk for ovarian cancer and elevated levels of intrusive thoughts and psychological distress. Finally, the authors proposed and tested a path model describing the interrelationships between these variables. The results of this study are discussed in terms of their implications for treating the psychological distress associated with being at increased risk for ovarian cancer.
Underserved women are at high risk for smoking relapse after childbirth due to their unique socioeconomic and postpartum stressors and barriers. Mobile text messaging technology allows delivery of relapse prevention programs targeted to their personal needs over time. To describe the development of a social-cognitive theory-based and evidence-guided text messaging intervention for preventing postpartum smoking relapse among inner city women. Guided by the cognitive-social health information processing framework, user-centered design, and health communication best practices, the intervention was developed through a systematic process that included needs assessment, followed by an iterative cycling through message drafting, health literacy evaluation and rewriting, review by target community members and a scientific advisory panel, and message revision, concluding with usability testing. All message content was theory-grounded, derived by needs assessment analysis and evidence-based materials, reviewed and revised by the target population, health literacy experts, and scientific advisors. The final program, "Txt2Commit," was developed as a fully automated system, designed to deliver 3 proactive messages per day for a 1-month postpartum smoking relapse intervention, with crave and lapse user-initiated message functions available when needed. The developmental process suggests that the application of theory and best practices in the design of text messaging smoking cessation interventions is not only feasible but necessary for ensuring that the interventions are evidence based and user-centered.