Evaluating an Interactive Digital Intervention for College Weight Gain Prevention.

OBJECTIVE: Pilot a digital interactive intervention for weight gain prevention among college students. METHODS: One sample pre-post study reporting on initial usability and changes in theoretical constructs (ie, self-efficacy, behavioral capability, elaboration) and program acceptability. Twenty college freshmen (mean age, 18.25 ± 0.72 years) reviewed a digital program providing self-assessment and brief tailored feedback on 8 behaviors that relate to a healthy weight: physical activity, sedentary behavior, and consumption of sugary beverages, high fat snacks, breakfast, fried foods, fruits and vegetables, and pizza. RESULTS: At posttest, improvements in self-efficacy were found for 5 behaviors (ie, physical activity, high fat snacks, breakfast, fried foods, fruits and vegetables); improvements in behavioral capability were found for 3 behaviors (ie, high fat snacks, fried foods, and fruits and vegetables). Acceptability benchmarks included: positive impression (60%), relevance (95%), and ease of comprehension (75%). CONCLUSIONS AND IMPLICATIONS: This program demonstrates acceptability for a digital weight gain prevention intervention, with improvements in behavioral mediators of change. Suggestions to simplify messaging and allowing for user control may enhance acceptability and comprehension. There is a need for further testing with larger more diverse populations before broader implementation by universities to address student health.

Formative work to design a digital learning self-assessment and feedback tool to prevent weight gain among college students.

OBJECTIVE: While colleges have implemented brief, tailored interventions for health-risk areas such as alcohol prevention, theoretically-guided digital learning offerings for weight gain prevention have lagged behind in programming and implementation. Thus, the objective was to design and usability test a weight gain prevention digital learning platform for college students with modules targeting key nutrition and physical activity behaviors. METHODS: Development occurred in iterative phases: formative research, descriptive normative data collection, prototype development, and usability testing. Formative research consisted of background work and survey administration to incoming and current freshmen. Prototype development was guided by theories of behavior change and cognitive processing, and consisted of brief assessment and feedback using written text, graphs, and videos. Iterative usability testing was conducted. RESULTS: Current freshmen reported eating more quick order meals per week than incoming freshman, but fewer high-fat snacks and fewer sugary beverages. Current freshmen reported more sedentary time than incoming freshmen. Based on iterative testing results, eight behavioral targets were established: breakfast, high-fat snacks, fried foods, sugary beverages, fruit/vegetables, physical activity, pizza intake, and sedentary behavior. Initial usability testers indicated the modules were easy to understand, held their attention, and were somewhat novel. Analysis of qualitative feedback revealed themes related to content, layout, structure and suggested refinements to the modules. CONCLUSIONS: A gap exists for evidence-based obesity prevention programs targeted to adolescents as they transition into adulthood. Brief, tailored digital learning interventions show promise towards addressing key behavioral nutrition and physical activity targets among students during the transition to college.