Differential Programming Needs of College Students Preferring Web-Based Versus In-Person Physical Activity Programs

Evaluating the delivery of physical activity for people with developmental disabilities using an online knowledge translation approach: part 2 - content quality

OBJECTIVE

Web-based platforms for delivering physical activity (PA) to people with developmental disabilities have a great potential to improve the lives of many. However, their design, including the content design, lacks sufficient investigation. This study aims to evaluate three online platforms for delivering PA to people with developmental disabilities in terms of content quality and identify relevant barriers and facilitators of PA delivery.

METHODS

The study used a methodological triangulation approach which involved quantitative evaluations by experts using an evaluation rubric, on-site observations and in-depth interviews with recruited participants. The participants consisted of 15 pairs of individuals, each consisting of a person with developmental disabilities and their primary caregiver. They were instructed to watch and follow five PA video content from each of the three platforms. The on-site observations and interviews were conducted in a large computer-equipped meeting room setting.

RESULTS

The quantitative and qualitative analysis identified a set of barriers and facilitators of PA delivery related to content quality. Key barriers identified include a lack of content diversity, insufficient understanding of developmental disabilities among content creators, inappropriate language usage, and resistance to engaging in physical activities in home settings. Significant facilitators were pinpointed, such as incorporating engaging elements for individuals with developmental disabilities, utilising easy-read language, and ensuring sufficient repetition for effective learning. The results from the triangulation showed that the multiple methods were complementary and converged on the same outcome.

DISCUSSION

The study findings could contribute to the development of adequately adapted PA content to distribute knowledge to populations with developmental disabilities.

Key influences on university students' physical activity: a systematic review using the Theoretical Domains Framework and the COM-B model of human behaviour

BACKGROUND

Physical activity is important for all aspects of health, yet most university students are not active enough to reap these benefits. Understanding the factors that influence physical activity in the context of behaviour change theory is valuable to inform the development of effective evidence-based interventions to increase university students' physical activity. The current systematic review a) identified barriers and facilitators to university students' physical activity, b) mapped these factors to the Theoretical Domains Framework (TDF) and COM-B model, and c) ranked the relative importance of TDF domains.

METHODS

Data synthesis included qualitative, quantitative, and mixed-methods research published between 01.01.2010-15.03.2023. Four databases (MEDLINE, PsycINFO, SPORTDiscus, and Scopus) were searched to identify publications on the barriers/facilitators to university students' physical activity. Data regarding study design and key findings (i.e., participant quotes, qualitative theme descriptions, and survey results) were extracted. Framework analysis was used to code barriers/facilitators to the TDF and COM-B model. Within each TDF domain, thematic analysis was used to group similar barriers/facilitators into descriptive theme labels. TDF domains were ranked by relative importance based on frequency, elaboration, and evidence of mixed barriers/facilitators.

RESULTS

Thirty-nine studies involving 17,771 participants met the inclusion criteria. Fifty-six barriers and facilitators mapping to twelve TDF domains and the COM-B model were identified as relevant to students' physical activity. Three TDF domains, environmental context and resources (e.g., time constraints), social influences (e.g., exercising with others), and goals (e.g., prioritisation of physical activity) were judged to be of greatest relative importance (identified in > 50% of studies). TDF domains of lower relative importance were intentions, reinforcement, emotion, beliefs about consequences, knowledge, physical skills, beliefs about capabilities, cognitive and interpersonal skills, social/professional role and identity, and behavioural regulation. No barriers/facilitators relating to the TDF domains of memory, attention and decision process, or optimism were identified.

CONCLUSIONS

The current findings provide a foundation to enhance the development of theory and evidence informed interventions to support university students' engagement in physical activity. Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles.

TRIAL REGISTRATION

Prospero ID-CRD42021242170.

Feasibility of a Theory-Based, Online Tailored Message Program to Motivate Healthier Behaviors in College Women

We aimed to test the feasibility of an online survey and tailored message program in young women. Recruited from college campuses, women (n = 189) completed an online survey assessing preference for and behaviors toward diet and physical activity as well as theory-based influencers of these behaviors (knowledge/information, motivation, and confidence). Health messages were tailored to the participant’s survey responses and learning style to address misconceptions and motivate or reinforce healthy physical activity and dietary behaviors. Most women reported the survey as relevant (92%) and useful for reflecting on their health (83%), with survey responses variable in level of nutrition and physical activity knowledge, motivation, and confidence. Each woman received four tailored messages—most reported the messages as relevant (80%) and learning new information (60%). Across all messages, nearly half of the participants (~48%) reported willingness to try or maintain healthier behaviors and confidence in their ability. Body size discrepancy and dietary restraint had small effects message responses of information learned, and the motivation and confidence in trying healthier behaviors. In summary, these data support the feasibility of this online tailored message program. The college women found the tailored message program acceptable and useful to motivate healthier behaviors. The findings provide direction for behaviorally focused interventions to improve dietary and physical activity behaviors.

Physical Activity and Sedentary Behavior in University Students–The Role of Gender, Age, Field of Study, Targeted Degree, and Study Semester

Background

Physical inactivity and sedentary behavior are modifiable risk factors for an unhealthy lifestyle in university students. The aim of this study was to identify subgroups among German university students with an increased risk for unhealthy behavior. For this purpose, differences in physical activity and sedentary behavior with respect to sociodemographic and study related factors were examined.

Methods

A total of 4,351 students participated in an online survey. The amount of physical activity (metabolic equivalent of task-min/week) and the sitting time (h/day) were assessed using the German short form of the International Physical Activity Questionnaire. Differences in gender and age as well as field of study, targeted degree and study semester were analyzed using a single factorial ANOVA with Tukey correction or a Welch-ANOVA with Games-Howell correction.

Results

For physical activity, significant differences were found for gender (F_{(2, 80.46)} = 17.79, p < 0.001, ηp2 = 0.009), for field of study (F_{(5, 1738.09)} = 7.41, p < 0.001, ηp2 = 0.01), and for study semester (F_{(1, 948.12)} = 5.53, p < 0.05, ηp2 =0.001), but not for age and targeted degree (p > 0.05). For sedentary behavior, significant differences were found for field of study (F_{(5, 3816)} = 5.69, p < 0.001, ηp2 = 0.01) and targeted degree (F_{(3, 3868)} = 3.94, p < 0.01, ηp2 = 0.003), but not for gender, age and study semester (p > 0.05).

Conclusion

Female students, students enrolled in “natural sciences, mathematics and informatics” and first year students appear to have an increased risk of an unhealthy lifestyle. Future research should identify barriers to and incentives of physical activity as well as reasons for high amounts of SB in sub-populations of university students. Suitable prevention and intervention programs are necessary.

The Impact of the COVID-19 Pandemic on US College Students' Physical Activity and Mental Health

BACKGROUND

Investigating the impact of the COVID-19 pandemic on both physical activity (PA) and mental health is important to demonstrate the need for interventions. This study examined the apparent impact of the pandemic on college students' PA, perceived stress, and depressive symptoms.

METHODS

From 2015 through 2020, data were collected at the beginning and end of the spring semester at a large Northeastern US university via an online survey assessing student demographics, PA, perceived stress, and depressive symptoms. Mixed ANOVA examined differences in PA and mental health changes over the spring semester between "normal" and COVID-19 circumstances. Two-way ANOVA examined the interaction between circumstance and changes in PA in relation to changes in mental health.

RESULTS

Participants (n = 1019) were predominately women and non-Hispanic white. There was a significant decline in PA and an increase in perceived stress under COVID-19, but not normal, circumstances and a significant increase in depressive symptoms under COVID-19, but not normal, circumstances among women.

CONCLUSIONS

A significant decline in PA and mental health among college students occurred under COVID-19 circumstances, and PA did not appear to protect against deterioration in mental health. Proactive and innovative policies, programs, and practices to promote student health and well-being must be explored immediately.

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.

Behavioural weight loss treatment preferences of college students with overweight and obesity

The college environment increases risk of weight gain in young adults with overweight/obesity. Behavioural weight loss interventions are proven effective, however, young adults' adherence to such programs is poor. The purpose of the study was to determine weight loss treatment preferences of 2- and 4-year college students for the development of population-specific interventions. Students with a BMI ≥25, between 18 and 24 years of age, and enrolled in one of four institutions were recruited. A questionnaire was developed to assess students' preferences and was administered via Qualtrics. BMI was calculated from objectively assessed height and weight measurements. Descriptive analyses, chi-square, Fisher's Exact Test, Mann-Whitney U test and Cramer's V were performed. Participants (n = 133, age = 20.2 ± 1.8) predominately identified as female (70%), non-Hispanic (68%) and Black/African American (32%) or White (32%). Fifty-five percent met criteria for obesity. Most students preferred session length of ≤1 hour (78%), for meetings to be held on a weekday (70%) and for both a peer and a professional to co-facilitate meetings (61%). Preferences for health outcomes and physical activity monitoring, type of physical activity, frequency of dietary monitoring, physical activity tracking method and interest in financial incentives to promote core treatment components differed between institutions. Heterogeneity in program preferences by college environment should be considered when designing weight loss interventions.

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.