Napolitano Melissa A, Lynch Sarah Beth, Mavredes Meghan N, Shambon Benjamin D, Posey Laurie
Department of Prevention and Community Health, The George Washington University, Milken Institute School of Public Health, Washington, USA.
Department of Exercise and Nutrition Sciences, The George Washington University, Milken Institute School of Public Health, Washington, USA.
Digit Health. 2020 Dec 17;6:2055207620979458. doi: 10.1177/2055207620979458. eCollection 2020 Jan-Dec.
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.
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.
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.
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.
虽然高校已针对诸如酒精预防等健康风险领域实施了简短、量身定制的干预措施,但针对预防体重增加的理论指导数字学习课程在规划和实施方面却滞后了。因此,本研究的目的是设计并进行可用性测试一个针对大学生的预防体重增加数字学习平台,该平台的模块针对关键的营养和身体活动行为。
开发过程分多个迭代阶段进行:形成性研究、描述性规范数据收集、原型开发和可用性测试。形成性研究包括背景工作以及对即将入学和在校大一新生进行调查。原型开发以行为改变和认知加工理论为指导,包括使用书面文本、图表和视频进行简短评估和反馈。进行了迭代可用性测试。
在校大一新生报告称,他们每周吃的快餐比即将入学的大一新生多,但高脂肪零食和含糖饮料较少。在校大一新生报告的久坐时间比即将入学的大一新生长。根据迭代测试结果,确定了八个行为目标:早餐、高脂肪零食、油炸食品、含糖饮料、水果/蔬菜、体育活动、披萨摄入量和久坐行为。最初的可用性测试者表示,这些模块易于理解,能吸引他们的注意力,且有些新颖。对定性反馈的分析揭示了与内容、布局、结构相关的主题,并提出了对模块的改进建议。
针对青少年向成年期过渡阶段的循证肥胖预防项目存在缺口。简短、量身定制的数字学习干预措施有望在学生向大学过渡期间实现关键的行为营养和身体活动目标。