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The severity and pervasiveness of the COVID-19 pandemic have necessitated the emergency use of COVID-19 vaccines. Three vaccines have been approved in the United States (USA). However, there is still some hesitancy in COVID-19 vaccine acceptability among some subgroups, including college students. While research is limited on vaccine acceptability behavior among college students, preliminary data suggests hesitancy as being high. This study aimed to explain the correlates of COVID-19 vaccine acceptance among college students who reported hesitancy toward the COVID-19 vaccine and those who did not using the initiation component of the multi-theory model (MTM) of health behavior change. Using a cross-sectional study design, data were collected from a Southern USA University (n = 282) utilizing a valid and reliable 27-item questionnaire in February and March 2021. Almost half (47.5%) of participants reported hesitancy to receive the COVID-19 vaccine. The three constructs of MTM's initiation model, behavioral confidence (b = 0.089, p < 0.001), participatory dialogue (b = 0.056, p < 0.001), and changes in the physical environment (b = 0.066, p = 0.001) were significantly associated with COVID-19 vaccine acceptance among those who were not hesitant to take the vaccine and accounted for 54.8% of the variance. Among those who were hesitant to take the COVID-19 vaccine, the MTM construct of behavioral confidence (b = 0.022, p < 0.001) was significant along with Republican Party political affiliation (b = −0.464, p = 0.004), which was negatively associated with vaccine acceptance. The model accounted for 60.6% of the variance in intention to take the COVID-19 vaccine. This study provides evidence for the utility of MTM as a timely intervention to design messages for college students to enhance COVID-19 vaccine acceptability.

Purpose: The purpose of this study was to identify the relationship between work-related, individual, and environmental factors and self-reported standing time during the workday. Design: Cross-sectional study design. Setting: Participants were recruited from a large, public university in the southeastern United States. Measures: Data were collected through an 87-item online survey using previously validated scales that assessed workplace standing time, demographic variables, work-related psychosocial factors, and workplace environment factors. Analysis: One-way analysis of variance, Pearson correlation coefficients, and nonparametric tests were used to determine univariate relationships between standing time and independent work-related variables and demographic factors. Results: Mean standing time among the sample (n = 502) was 72.49 minutes (standard deviation = 73.48) daily. There was a significant relationship between standing time and barrier self-efficacy for standing at work, self-regulation strategies, social norms, local connectivity in the workplace, overall connectivity in the workplace, and proximity of coworkers. Standing time was significantly higher for men, employees with an advanced degree, employees with a standing desk, and faculty. Conclusion: Health promotion researchers and practitioners should consider factors at multiple levels of influence when designing studies to explore workplace sedentary behavior. The findings regarding variations in workplace behavior by employee subgroups should be taken into consideration when designing future studies in the workplace.

Purpose: The purpose of this study was to explore the relationship between ecological factors and occupational sedentary behavior (SB). Design: Cross-sectional online survey. Setting: Participants were employees recruited from a large, public university in the Southeastern United States from August to November 2016. Participants: The final sample included 527 (56% response rate) employees. Measures: Data were collected through an 87-item survey using previously validated scales that assessed occupational SB, perceived behavioral control, barrier self-efficacy, self-regulation strategies, organizational social norms, office environment, and worksite climate. Analysis: One-way analysis of variance analyses were used to determine differences in occupational SB by demographic factors. A multivariate regression model was used to determine significant ecological determinants of occupational SB. Results: Mean SB was 342.45 (standard deviation = 133.25) minutes. Significant differences in SB were found by gender, education, and employment classification. Barrier self-efficacy and workplace connectivity, which evaluates the spatial layout of the office setting that may impact mobility within the workplace, were significant predictors of SB in the multivariate model. Conclusion: Results from this study provide new information regarding the potential impact of workplace barriers and connectivity on occupational SB. The findings from this study support the inclusion of intervention modalities to minimize workplace barriers and increase workplace connectivity to increase workplace mobility and decrease SB.

Purpose This study aimed to explore barriers and facilitators impacting disease and symptom management among college students living with Type 1 Diabetes (T1D). Design A qualitative, phenomenological approach using semi-structured, one-on-one interviews. Setting Interviews conducted on Zoom (n = 28) and in-person (n = 3). Participants Purposive sample of 31 college students living with T1D for at least 2 years who attended large, 4-year public universities in the Southeastern United States. Method This study was theoretically informed using the Middle-Range Theory of Self-Care of Chronic Illness Integration of Symptoms to develop interview questions. Interviews were transcribed verbatim and uploaded in NVivo. Data were analyzed thematically using a codebook developed by the research team using the theory as a framework. Trustworthiness was established using an audit trail, memos, and negative case analysis. Results Four themes described barriers: diabetes burnout, challenges adjusting to a college lifestyle, difficulty receiving medical supplies, and insurance limitations. Five themes explained facilitators: years of experience managing T1D, tangible support with medical supplies, informational support for disease management, and emotional/technological support for disease and symptom management. Conclusion Barriers and facilitators in this study should be addressed in future T1D interventions for college students. Findings can also guide healthcare professionals, health promotion practitioners, family, friends, and significant others on how to better support college students as they manage T1D.