PACES: a Physical Activity Campus Environmental Supports Audit on university campuses

Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data

Introduction

University campuses, with their abundant natural resources and sports facilities, are essential in promoting walking activities among students, faculty, and nearby communities. However, the mechanisms through which campus environments influence walking activities remain insufficiently understood. This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking.

Methods

This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. By applying the XGBoost algorithm and SHAP (SHapley Additive exPlanations), an explainable machine learning framework was established to evaluate the importance of various factors, explore the nonlinear relationships between variables and walking activity, and analyze the interaction effects among these variables.

Results

The findings underscore the significant impact of several key factors, including the proportion of sports land, proximity to water bodies, and Normalized Difference Vegetation Index NDVI, alongside the notable influence of six distinct campus area types. The analysis of nonlinear effects revealed distinct thresholds and patterns of influence that differ from other urban environments, with some variables exhibiting fluctuated or U-shaped effects. Additionally, strong interactions were identified among variable combinations, highlighting the synergistic impact of elements like sports facilities, green spaces, and waterfront areas when strategically integrated.

Conclusion

This research contributes to the understanding of how campus built environments affect walking activities, offering targeted recommendations for campus planning and design. Recommendations include optimizing the spatial configuration of sports facilities, green spaces, and water bodies to maximize their synergistic impacts on walking activity. These insights can foster the development of inclusive, health-promoting, and sustainable campuses.

Role of Restorativeness in Improving the Psychological Well-Being of University Students

Many university students experience high levels of study-related fatigue, hence, necessitating opportunities for restoration. They could potentially benefit from campus-based physical activities that provide them with effective restoration breaks and allow them to return to their studies cognitively refreshed. Thus, a cross-sectional study was conducted to assess the association between perceived restorativeness among postgraduates and their psychological well-being by using the four constructs of Kaplan's attention restoration theory (ART): fascination, being away, extent, and compatibility. In this study, nature view windows were also used as a moderator. Malaysian postgraduate students [n = 192; 94 females; age in years (M = 30.64, SD = 2.73)] completed the Ryff's scale of psychological wellbeing (PWB) and perceived restorativeness scale for activity (PRAS). This study used the partial least squares-structural equation model (PLS-SEM) to examine these relationships. The results demonstrate that three ART constructs, namely, being away, fascination, and compatibility, are significant predictors of psychological well-being across the sample size. Furthermore, for participants who reside in university dormitories, windows that overlook nature can enhance the relationship of being away, compatibility, and fascination to psychological well-being, compared with those with less natural views. Thus, this study confirmed the moderating effect of nature view windows and provided insight into the ART constructs that facilitate and enhance restorative experiences. By strengthening ART with additional factors, this study has also contributed toward the improvement of the psychological well-being of university students.

eB4CAST Approach Improves Science Communication With Stakeholders in a College-Based Health Program

Communicating scientific results with community partners is often lacking in intervention programs, thus eB4CAST was developed to facilitate impact sharing. This article investigated using the eB4CAST dissemination tool to communicate impact from a campus-based obesity prevention program. Data from Get Fruved RCT university sites collected at baseline were used to generate eB4CAST reports. Experts (n = 13) and RCT sites (n = 15) were asked to provide feedback on eB4CAST reports based on appeal, understanding, and clarity. On all Likert items, participants rated above 7 on each (out of 10). Positive responses from open-ended questions included eB4CAST reports being clear, visually appealing, and aid in program understanding. Overall, eB4CAST was successful in relaying data and information for the Get Fruved program, thus a means for science communication that could be used in interventions. Utilizing infographics to report data and information is a feasible way to disseminate and communicate in a cost-effective, timely manner.

Development of an Instrument Measuring Perceived Environmental Healthfulness: Behavior Environment Perception Survey (BEPS)

OBJECTIVE

To create a tool to measure college students' perception of the healthfulness of their environment.

DESIGN

(1) Item generation, (2) cognitive interview testing and exploratory factor analysis, (3) item refinement/modification, (4) factor structure validation, and (5) criterion validation.

SETTING

Ten college campuses.

PARTICIPANTS

Time point 1 (n = 120 cognitive interviews; n = 922 factor analysis); time point 2 (n = 2,676), convenience sample of undergraduate students.

MAIN OUTCOME MEASURES

Cognitive interviews and survey data were used to assess perceptions about the environment.

ANALYSIS

Exploratory factor analysis, structural equation confirmatory factor analysis, correlations, and regressions.

RESULTS

Item generation resulted in 93 items. Items were eliminated based on cognitive interviews, exploratory factor analysis of pilot data, and elimination of cross-loading or weak loading items. In confirmatory analyses, a 21-item, 5-factor structure was the best fit for the data (χ² = 3,286.77, degrees of freedom = 189; comparative fit index = 0.840; root-mean-square error of approximation = 0.078). Environmental factors include physical activity (α = 0.68, 4 items), healthful eating (α = 0.86, 5 items), mental health (α = 0.85, 5 items), barriers to healthful eating (α = 0.70, 4 items), and peer influences (α = 0.73, 3 items). There were significant associations between scales and validation criteria (P < .05).

CONCLUSIONS AND IMPLICATIONS

The Behavior Environment Perception Survey is a novel instrument measuring perceptions of the healthfulness of the campus environment. Strengths include a development process involving 10 different universities, strong psychometric properties, and breadth of constructs.

Redesign, Field-Testing, and Validation of the Physical Activity Campus Environmental Supports (PACES) Audit

This paper describes the redesign, field-testing, and convergent validity of a practical tool-Physical Activity Campus Environmental Supports (PACES) audit. Methods. The audit includes two parts: (1) PACES-Programs, which is comprised of questions regarding populations served, fees, programs (recreation/fitness classes and intramurals), proximity, adequacy of facilities, and marketing, and (2) PACES-Facilities, which is comprised of questions regarding built environment (aesthetics, bike racks, stairs, and universal design), recreation equipment, staff, amenities, and access. Each item criterion is specifically scored using a five-point, semantic-differential scale ranging from limited to extensive environmental support. A few questions utilize select all that apply for a summed score. PACES training, interrater reliability, and data collection are all accessible via an online portal. PACES was tested on 76 college campuses. Convergent validity was examined by comparing the PACES-Programs questions to Healthy Campus Initiatives-Programs questions (HCI-Programs) and comparing the PACES-Facilities questions to questions contained in the Physical Activity Resource Assessment (PARA) Instrument. Statistical analyses included Cronbach's alpha, ANOVA, latent profile analysis, and Spearman correlations. Results. The PACES-Programs audit includes 10 items for a potential total of 73 points (α = 0.72) and PACES-Facilities audit includes 15 items for a potential total of 77 points (α = 0.837). Most (77.8%) of the 153 facilities assessed scored in the most healthful range (20-42), which was mainly due to the extensiveness of the aerobic equipment/amenities and the competence/accessibility of staff. Significant differences in PACES-Total and PACES-Programs scores were associated with campus size and PACES-Facilities across regions. For the paired validation assessments, correlations were significant between PACES-Programs and HCI-Programs ((n=41) r=0.498, p < 0.001) and PACES-Facilities and PARA (n=29) for both features (r=0.417, p=0.024) and amenities (r=0.612, p < 0.001), indicating moderate convergent validity. Conclusion. The PACES audit is a valid, reliable tool for assessing the quality of recreation facilities and programs in a variety of college campus environments.

Development and Validation of the Policies, Opportunities, Initiatives and Notable Topics (POINTS) Audit for Campuses and Worksites

Background: Workplace or campus wellness/obesity-prevention policies and initiatives can improve health. Research tools to assess worksite or campus policies/initiatives are scarce. Thus, the aim of this research is to develop and validate the policies, opportunities, initiatives, and notable topics (POINTS) audit. Methods: POINTS was developed and refined via expert review, pilot-testing, and field testing. Trained researchers completed a web-based review from a student-focus or employee-focus regarding 34 health-promoting topics for colleges. Each topic was evaluated on a 0⁻2 scale: 0 = no policy/initiative, 1 = initiatives, 2 = written policy. When a written policy was detected, additional policy support questions (administered, monitored, reviewed) were completed. Results: Cronbach's Alpha for the student-focused POINTS audit was α = 0.787 (34 items, possible points = 65), and for the employee-focused POINTS audit was α = 0.807 (26 items, possible points = 50). A total of 115 student-focused and 33 employee-focused audits were completed. Although there was little evidence of policy presence beyond stimulant standards (smoking and alcohol), there were extensive examples of health initiatives. The student-focused POINTS audit was validated using the Healthier Campus Initiative's survey. Conclusions: POINTS is a web-based audit tool that is valid and useful for pre-assessment, advocacy, benchmarking, and tracking policies for health and well-being for students (campus) and employees (worksite).

eB4CAST: An Evidence-Based Tool to Promote Dissemination and Implementation in Community-Based, Public Health Research

eB4CAST, evidence-Based forecast C-capture, A-assemble, S-sustain, T-timelessness (eB4CAST), framework was developed from existing dissemination and implementation (D & I) constructs as a dissemination tool to promote community-based program usability and future application in targeted populations. eB4CAST captures and transforms research findings into a dissemination report that shows program need and impact to endorse program continuation and expansion. This is achieved through direct and indirect data collection of community factors and program impact that can showcase the need for program sustainability and potential for future dissemination sites. Testimonials, individual feedback, and program process and outcomes contribute to the direct data while data collected from census, county, and state databases and reports allow for indirect information to be captured and analyzed. Capturing data in the two levels allow eB4CAST to forecast program need and highlight program impact through a footprint. eB4CAST framework for dissemination tool creation is organized into four sections: Capture, Assemble, Sustainability, and Timelessness. Capture encompasses the collection of indirect and direct data related to intervention goals. Assemble is the compilation of the data into a visually appealing and easily understood media. Sustainability encourages the use of dissemination tools to provide forecast of program need and footprint of program impact back to community participants, program leaders, and key stakeholders to endorse program sustainability. Lastly, timelessness encourages cyclic movement through these constructs to continue program monitoring and data sharing to ensure timeless program evaluation and conformation to change in needs. The eB4CAST framework provides a systematic method to capture justification of program need and impact of community-based research that can be modified to fit diverse public health interventions providing a necessary D & I tool.

A Community Based Participatory Approach to Training Young Adults to Design and Implement a Social Marketing Framed Lifestyle Intervention on Their College Campus

Background: Using a Community-Based Participatory Research (CBPR) approach may increase the likelihood of relevance and acceptability of the designed intervention, especially on a college campus. Furthermore, recruiting and training college students to design a social marketing framed healthy lifestyle intervention for their peers will allow the intervention to be tailored to the needs of the campus. Objectives: To describe the process of online-course training college students to develop a campus-based, social marketing health promotion intervention. Methods: Four universities recruited current college students (18+ y.o.) to develop a social marketing and environmental intervention (SMEI), which was completed during a 16-week, online/in-person hybrid semester course. Researchers and Extension professionals trained students to design 24 weeks of intervention events that would be implemented the upcoming year. Results: Seventy-eight students enrolled in the study and social marketing and environmental intervention course among the four intervention states (Florida = 30, South Dakota = 8, Tennessee = 13, West Virginia = 27); students were predominately Caucasian (65.8%), females (84.0%), and sophomore status in college (64.9%). Throughout the semester, students assessed their campus environments, set priorities, and developed weekly events and resources needed to implement the intervention on their campuses. By the end of the semester, with researcher support, students had designed 24 weeks of intervention events (marketing, recruiting, and implementation) focusing on nutrition/food/diet, physical activity, stress management, sleep, and time management. These events and resources were catalogued into a digital toolkit of instructions and activities for each week of intervention events. Conclusion: Using a Community-Based Participatory Research approach with college students interested in health allows for the development of an intervention that stems from grass roots efforts and is tailored to the acceptability and needs of their peers.

Perceived Built Environment Characteristics of On-Campus and Off-Campus Neighborhoods Associated With Physical Activity of College Students

OBJECTIVE

To identify differences in neighborhood environment and their association with physical activity (PA) levels of on-campus compared with off-campus students.

PARTICIPANTS

Participants were 822 undergraduate students at a mid-sized mid-Atlantic university.

METHODS

Students completed the Neighborhood Environment Walkability Scale-Abbreviated and the International Physical Activity Questionnaire in October 2013.

RESULTS

Lower residential density, traffic safety, and crime scores and higher land-use mix diversity, aesthetics, and lack of parking scores were reported among on-campus residents. On-campus residents reported higher levels of active transportation PA, leisure PA, and total PA. Land-use mix diversity, aesthetics, and lack of cul-de-sacs were associated with physical activity level.

CONCLUSION

The on-campus and off-campus environments differ in ways that may impact the ability of undergraduate students to be physically active. Strategies to promote continued active transportation and leisure PA are discussed.