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1. A Snapshot of Mental Health and Wellness of Engineering Students Across the Western United States

   https://doi.org/10.1109/FIE44824.2020.9273885  

   Danowitz, Andrew; Beddoes, Kacey (October 2020, 2020 IEEE Frontiers in Education Conference (FIE))

   null (Ed.)

   This work in progress research paper characterizes mental wellness in engineering at five institutions across the Western United States to better understand what mental health issues most affect the broader engineering student community. Anecdotal evidence has long suggested that stress and certain mental wellness issues are particularly acute in the field of Engineering, and some recent research has shown elevated rates of mental wellness issues at different institutions around the country. This paper presents the results of a previously validated mental health survey conducted with first- and second-year students at several universities. The results of this work include screening rates for major mental health issues (e.g. DSM diagnosable) and moderate mental health issues as captured by the Kessler 6 screening instrument; screening rates for depressive, anxiety, and eating disorders as measured by the Patient Health Questionnaire (PHQ); and screening rates for post-traumatic stress disorder (PTSD) as measured by the Primary-Care Post Traumatic Stress Disorder (PC-PTSD) instrument. This work also includes a preliminary analysis of screen rates by demographic groups so that educators and academic facilitators may be better aware of the types of challenges that face a diverse engineering student populace. Overall, we find that 28.4% percent of respondents potentially suffer from a diagnosable mental health condition as measured by Kessler 6. We also find that an additional 55.2% of students screen positive for moderate psychological distress. Breaking measurements down by demographic groups, we find that female respondents, particularly those from historically excluded ethnic groups and races, show elevated rates of Panic and PTSD disorders when compared to the male population. 

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2. A Snapshot of Mental Health and Wellness of Engineering Students Across the Western United States

   Danowitz, Andrew; Beddoes, Kacey (January 2020, Frontiers in Education Annual Conference)

   null (Ed.)

   This work in progress research paper characterizes mental wellness in engineering at five institutions across the Western United States to better understand what mental health issues most affect the broader engineering student community. Anecdotal evidence has long suggested that stress and certain mental wellness issues are particularly acute in the field of Engineering, and some recent research has shown elevated rates of mental wellness issues at different institutions around the country. This paper presents the results of a previously validated mental health survey conducted with first– and second–year students at several universities. The results of this work include screening rates for major mental health issues (e.g. DSM diagnosable) and moderate mental health issues as captured by the Kessler 6 screening instrument; screening rates for depressive, anxiety, and eating disorders as measured by the Patient Health Questionnaire (PHQ); and screening rates for post-traumatic stress disorder (PTSD) as measured by the Primary-Care Post Traumatic Stress Disorder (PC-PTSD) instrument. This work also includes a preliminary analysis of screen rates by demographic groups so that educators and academic facilitators may be better aware of the types of challenges that face a diverse engineering student populace. Overall, we find that 28.4% percent of respondents potentially suffer from a diagnosable mental health condition as measured by Kessler 6. We also find that an additional 55.2% of students screen positive for moderate psychological distress. Breaking measurements down by demographic groups, we find that female respondents, particularly those from historically excluded ethnic groups and races, show elevated rates of Panic and PTSD disorders when compared to the male population. 

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3. Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity

   https://doi.org/10.1002/aisy.202100099  

   Patel, Vishal; Chesmore, Austin; Legner, Christopher M.; Pandey, Santosh (September 2021, Advanced Intelligent Systems)

   The workplace influences the safety, health, and productivity of workers at multiple levels. To protect and promote total worker health, smart hardware, and software tools have emerged for the identification, elimination, substitution, and control of occupational hazards. Wearable devices enable constant monitoring of individual workers and the environment, whereas connected worker solutions provide contextual information and decision support. Here, the recent trends in commercial workplace technologies to monitor and manage occupational risks, injuries, accidents, and diseases are reviewed. Workplace safety wearables for safe lifting, ergonomics, hazard identification, sleep monitoring, fatigue management, and heat and cold stress are discussed. Examples of workplace productivity wearables for asset tracking, augmented reality, gesture and motion control, brain wave sensing, and work stress management are given. Workplace health wearables designed for work‐related musculoskeletal disorders, functional movement disorders, respiratory hazards, cardiovascular health, outdoor sun exposure, and continuous glucose monitoring are shown. Connected worker platforms are discussed with information about the architecture, system modules, intelligent operations, and industry applications. Predictive analytics provide contextual information about occupational safety risks, resource allocation, equipment failure, and predictive maintenance. Altogether, these examples highlight the ground‐level benefits of real‐time visibility about frontline workers, work environment, distributed assets, workforce efficiency, and safety compliance. 

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4. The interesting case of special and extraordinary items: What are they and how do they influence municipal government finances?

   https://doi.org/10.1111/pbaf.12357  

   Ke, Laiyang; Jimenez, Benedict S (June 2024, Public Budgeting & Finance)

   One‐shot revenue shocks influence government budget decisions and service provision. However, how governments respond to transitory income remains a theoretical and empirical puzzle. The permanent income hypothesis posits that governments save windfalls to smooth expenditures, while other models predict spending increases. Empirical findings are inconclusive as the focus has been on revenues that are not truly transitory. The case of special and extraordinary gains allows us to investigate the effects of transitory resources. Taking advantage of the Governmental Accounting Standards Board's requirement that governments report such gains in their financial statements, this study examines the effects of gains on expenses for a sample of cities across 10 years. Using a staggered adoption event study design, we find that gains stimulate spending and that the size of gains matters before one observes the stimulatory effects. These results have substantial implications for budgetary transparency and fiscal sustainability in municipal governments. 

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5. Conceptualizing Indigenous strengths-based health and wellness research using group concept mapping

   https://doi.org/10.1186/s13690-023-01066-7  

   O’Keefe, Victoria M; Maudrie, Tara L; Cole, Ashley B; Ullrich, Jessica S; Fish, Jillian; Hill, Kyle X; White, Lauren A; Redvers, Nicole; Jernigan, Valarie_Blue Bird; Lewis, Jordan P; et al (December 2023, Archives of Public Health)

   Abstract BackgroundIn recent years public health research has shifted to more strengths or asset-based approaches to health research but there is little understanding of what this concept means to Indigenous researchers. Therefore our purpose was to define an Indigenous strengths-based approach to health and well-being research. MethodsUsing Group Concept Mapping, Indigenous health researchers (N = 27) participated in three-phases. Phase 1: Participants provided 218 unique responses to the focus prompt “Indigenous Strengths-Based Health and Wellness Research…” Redundancies and irrelevant statements were removed using content analysis, resulting in a final set of 94 statements. Phase 2: Participants sorted statements into groupings and named these groupings. Participants rated each statement based on importance using a 4-point scale. Hierarchical cluster analysis was used to create clusters based on how statements were grouped by participants. Phase 3: Two virtual meetings were held to share and invite researchers to collaboratively interpret results. ResultsA six-cluster map representing the meaning of Indigenous strengths-based health and wellness research was created. Results of mean rating analysis showed all six clusters were rated on average as moderately important. ConclusionsThe definition of Indigenous strengths-based health research, created through collaboration with leading AI/AN health researchers, centers Indigenous knowledges and cultures while shifting the research narrative from one of illness to one of flourishing and relationality. This framework offers actionable steps to researchers, public health practitioners, funders, and institutions to promote relational, strengths-based research that has the potential to promote Indigenous health and wellness at individual, family, community, and population levels. 

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