Assessing Differences in Attitudes toward Occupational Safety and Health Measures for Infection Control between Office and Assembly Line Employees during the COVID-19 Pandemic in Germany: A Cross-Sectional Analysis of Baseline Data from a Repeated Employee Survey.

In our study, we investigated possible differences across occupational groups regarding employees' perceived work-related risk of infection with SARS-CoV-2, attitudes toward technical, organisational, and personal occupational safety and health (OSH) measures for infection control, and factors associated with this attitude. We analysed baseline data (10 August to 25 October 2020) from a repeated standardised online survey distributed at a worldwide leading global supplier of technology and services in Germany. 2144 employees (32.4% women; age (mean ± SD): 44 ± 11 years) who worked predominantly remotely (n = 358), at an on-site office (n = 1451), and assembly line/manufacturing (n = 335) were included. The work-related SARS-CoV-2 risk of infection differed between office employees working remotely and on-site (mean ± SD = 2.9 ± 1.5 vs. 3.2 ± 1.5; Mann-Whitney-U-Test: W = 283,346; p < 0.002; ε2 = 0.01) and between on-site office and assembly line/manufacturing employees (3.8 ± 1.7; W = 289,174; p < 0.001; ε2 = 0.02). Attitude scores toward technical OSH-measures differed between remote and on-site office (4.3 ± 0.5 vs. 4.1 ± 0.6; W = 216,787; p < 0.001; ε2 = 0.01), and between on-site office and assembly line/manufacturing employees (3.6 ± 0.9; W = 149,881; p < 0.001; ε2 = 0.07). Findings were similar for organisational and personal measures. Affective risk perception, COVID-19-specific resilience, and information about COVID-19-related risks were associated with the employees' attitudes. To promote positive attitudes, it seems to be important to consider occupational-group-specific context factors when implementing OSH-measures for infection control.

Work-focused Experiential Learning to Increase STEM Student Retention and Graduation at Two-year Hispanic-serving Institutions

With support from the National Science Foundation's Division of Undergraduate Education, this five-year project led by a two-year Hispanic Serving Institution (HSI) seeks to provide underrepresented students with mentored work experiences in computer information systems. Students will have access to paid on-campus work experiences and internships in businesses and industries. It is anticipated that some examples of potential student projects include mobile application development, cybersecurity, and computer support. It is expected that these experiences will increase undergraduate student interest, persistence, and success in computer information systems, as well as in STEM more broadly. To ensure that they are well-prepared for and gain the most from their work experiences, students will receive training on employability skills such as communication, teamwork, and project management. In addition, during their work experiences, students will be mentored by faculty, industry professionals, and peers. To strengthen the capacity of faculty to serve all students, including Hispanic students, the project will provide faculty with professional development focused on an equity mindset. This framework to provide mentored work experiences will be developed and piloted at Phoenix College, in the computer information technology department and eventually expanded to other STEM fields at the institution. Following this, the project also intends to expand this framework to four other two-year HSIs in the region. Through this work, the project aims to develop a replicable model for how two-year institutions can develop work experiences that foster increased student graduation and entry into STEM career pathways. This project, which is currently in its first year, seeks to examine how a curriculum that integrates cross-sector partnerships to provide work experiences can enhance STEM learning and retention. Using mixed methods and grounded theory, the project will expand knowledge about: (1) the impact of cross-sector partnerships that support work-focused experiential teaching and learning;(2) systematic ways to maintain and better use cross-sector partnerships;and (3) the degree to which a model of work-focused learning experiences can be adopted at other two-year HSIs and by other STEM fields. Baseline data about Hispanic serving identity at the pilot institution has been collected and assessed at the institutional, departmental, and for different educator roles including faculty, support staff, and administrative leaders to produce inputs towards developing a detailed plan of action. Early results from baseline data, visualizations, planning responses, and initial project activities for student work experiences and faculty professional development will be reported in the submission. The impact of Covid-19 to Year 1 activities will also be discussed. Expected long term results of the project include: development of sustainable mechanisms to foster cross-sector partnerships;increased student retention and workforce readiness;and measurable successes for STEM students, particularly Hispanic students, at two-year HSIs. © American Society for Engineering Education, 2021

A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study.

Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018-2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies.