A five year retrospective analysis of occupational injuries and incidence reported at a research intensive Canadian university

Limited information of occupational injury statistics within academic settings exists. Universities and colleges are an important and insightful work environment due to the varied nature of the work performed by employee groups. The objective of this study was to describe occupational injuries for all work groups in a large research intensive university. A retrospective database analysis was conducted on 2029 employee incident reports over a five year period (2000-2004) to determine general and departmental prevalence of injury types, locations, and mechanisms. Demographic analysis revealed an average age of 42 years and 9 years of work experience. Overall, the most frequent injuries were to the hand (40%), were musculoskeletal in nature (42%), and resulted from being "struck or contacted by" (33%). The greatest number of incidents occurred in food services, followed by physical plant and staff services. Closer examination of incidents reported by food services indicated 53% of injuries occurred to the hand and 72% required first aid. Notable too was that 19% of physical plant injuries occurred to the back, but these reports accounted for 40% of total back injuries and 50% of all lost time claims in the total database. Further epidemiological research in academic institutions is needed to better understand the inherent injury risk in this work sector.     

Cortisol Rise Following Awakening Among Problem Gamblers: Dissociation from Comorbid Symptoms of Depression and Impulsivity

Gambling pathology has been associated with elevated levels of distress, depression and impulsivity. The present investigation assessed whether these behavioral features would be evident among problem gamblers as they are among pathological gamblers. As well, given that gambling has been associated with increased life stress, as an objective index of ongoing distress, elevations of morning cortisol levels were assessed in problem and pathological gamblers relative to recreational gamblers, and their relations to depressive symptoms and impulsivity were assessed. Recreational, problem, and pathological gamblers (N = 140) completed the Beck Depression Inventory and the Barratt Impulsiveness Scale-11, and provided saliva samples at awakening, 30 min, 3.5 h, and 5.5 h afterward. Consistent with the view that problem and pathological gambling are associated with elevated life stressors, the rise of morning cortisol from awakening to 30 min following awakening was greater than in recreational gamblers. Heightened impulsivity was evident among both problem and pathological gamblers, whereas depressive symptoms were only evident among pathological gamblers. In neither instance were these psychological indices related to the morning cortisol rise. Indeed, increased depressive symptoms were not evident among problem gamblers, despite the fact that elevated morning cortisol levels were evident. The elevated morning cortisol rise may be secondary to gambling problems or distress related to gambling problems. Furthermore, the sustained morning cortisol elevations may be indicative of allostatic overload, and could potentially be a harbinger for potential health risks among problematic gamblers.     

Inference for Bivariate Survival Data by Copula Models Adjusted for the Boundary Effect

Copula models describe the dependence structure of two random variables separately from their marginal distributions and hence are particularly useful in studying the association for bivariate survival data. Semiparametric inference for bivariate survival data based on copula models has been studied for various types of data, including complete data, right-censored data, and current status data. This article discusses the boundary effect on these inference procedures, a problem that has been neglected in the previous literature. Specifically, asymptotic distribution of the association estimator on the boundary of parameter space is derived for one-dimensional copula models. The boundary properties are applied to test independence and to study the estimation efficiency. Simulation study is conducted for the bivariate right-censored data and current status data.     

Indiscriminate,Irrelevant, and Sometimes Wrong: Causal Misconceptions about Climate Change

Prior research demonstrates widespread persistence of beliefs about climate change causes and risks that are arguably misconceptions. They include believing pollution causes climate change, believing ozone depletion causes climate change, the combination of these two “green beliefs,” referred to as environmental problems, and believing natural climate variation significantly contributes to current climate trends. Each of these causal beliefs has the potential to weaken or divert support away from effective climate change risk mitigation policies. To assess this potential, we explore the nature and prevalence of these beliefs in the United States with a national sample of interviews (N = 77) and two national surveys (N = 1,013, N = 1,820), and apply regression and mediation analyses to explore whether they explain any of the variation in individuals’ concern or support for policy to mitigate climate change. Adherence to these beliefs—which reflect a variety of misconceptions illustrated in the interviews—differs by political ideology but is common, with over a third of interviewees mentioning one or more. Controlling for general knowledge, political ideology, and other factors, misconceptions about environmental problems are still associated directly with support for climate change policies. On average adherence to the belief that environmental problems cause climate change is associated with a 25% higher probability of policy support. In contrast, believing natural climate variability is a major recent cause of climate change is associated with a 7% lower probability of supporting climate policy, even after controlling for political ideology and other knowledge about climate change.     

The Role of Risk Perception in Flu Vaccine Behavior among African‐American and White Adults in the United States

Seasonal flu vaccination rates are low for U.S. adults, with significant disparities between African and white Americans. Risk perception is a significant predictor of vaccine behavior but the research on this construct has been flawed. This study addressed critical research questions to understand the differences between African and white Americans in the role of risk perception in flu vaccine behavior: (1) What is the dimensionality of risk perception and does it differ between the two races?  (2) Were risk perceptions of white and African‐American populations different and how were sociodemographic characteristics related to risk for each group? (3) What is the relation between risk perception and flu vaccine behaviors for African Americans and whites? The sample, drawn from GfK's Knowledge Panel, consisted of 838 whites and 819 African Americans. The survey instrument was developed from qualitative research. Measures of risk perception included cognitive and emotional measures of disease risk and risk of side effects from the vaccine. The online survey was conducted in March 2015. Results showed the importance of risk perception in the vaccine decision‐making process for both racial groups. As expected, those who got the vaccine reported higher disease risk than those who did not. Separate cognitive and emotional factors did not materialize in this study but strong evidence was found to support the importance of considering disease risk as well as risk of the vaccine. There were significant racial differences in the way risk perception predicted behavior.     

How Asymptomatic Transmission Influences Mitigation and Suppression Strategies during a Pandemic

Asymptomatic transmission complicates any public health strategies to combat a pandemic, which proved especially accurate in the case of COVID-19. Although asymptomatic cases are not unique to COVID-19, the high asymptomatic case rate raised many problems for developing effective public health interventions. The current modeling effort explored how asymptomatic transmission might impact pandemic responses in four key areas: isolation procedures, changes in reproduction rate, the potential for reduced transmission from asymptomatic cases, and social adherence to public health measures. A high rate of asymptomatic cases effectively requires large-scale public health suppression and mitigation procedures given that quarantine procedures alone could not prevent an outbreak for a virus such as SARS-CoV-2. This problem only becomes worse without lowering the effective reproduction rate, and even assuming the potential for reduced transmission, any virus with a high degree of asymptomatic transmission will likely produce a pandemic. Finally, there is a concern that asymptomatic individuals will also refuse to adhere to public health guidance. Analyses indicate that, given certain assumptions, even half of the population adhering to public health guidance could reduce the peak and flatten the curve by over 90%. Taken together, these analyses highlight the importance of taking asymptomatic cases into account when modeling viral spread and developing public health intervention strategies.     

Associations Between Adolescents' Antisocial Behavior,Conflict Management Styles,and Romantic Relationship Breakup: An Observational Study

Adolescents' antisocial behavior and negative conflict management styles are each associated with adverse romantic relationship outcomes, yet little research exists on their associations. We investigated whether adolescents' antisocial behavior was associated with conflict management styles, and whether it predicted breakup 3 months later. In total, 91 adolescent couples (M_age = 16.43, SD = 0.99; 41.2% Hispanic/Latinx) participated in videotaped conflict discussions coded for negotiation, coercion, and avoidance. Actor–partner interdependence models suggest adolescents' antisocial behavior is associated with decreased use of negotiation (couple pattern) and increased use of coercion (actor pattern). No significant associations were found for avoidance. Neither antisocial behavior nor conflict management styles predicted breakup. Findings are discussed in light of the unique developmental importance of adolescents' romantic relationships.     

Greenhouse gases and green roofs: carbon dioxide and methane fluxes in relation to substrate characteristics

Green roof systems have been increasingly implemented to enhance vegetation cover and associated ecosystem services in urban spaces, with primary goals being the reduction of peak surface runoff, enhanced water quality, and mitigation of urban heat island effects. Recently, green roofs have also received attention as a means to enhance carbon sequestration, but direct measurements of greenhouse gas fluxes from established green roof systems are largely lacking. Here we present observations of CO₂ and CH₄ fluxes from substrates of experimental extensive green roof units that varied in vegetation type (Sedum spp., and a native meadow species mix), substrate depth, substrate type (high vs. low organic matter content), and irrigation. We predicted that substrate CO₂ effluxes would be higher in high-organic-matter substrates and that systems with high organic matter would potentially act as CH₄ sources. Substrate fluxes were low compared to natural soils, with seasonal means ranging from an efflux of 0.1–0.4 µmol CO₂ m^-2.s^-1 and uptake of ~0.00–0.04 nmol CH₄ m^-2.s^-1, with higher fluxes late in the growing season. CO₂ fluxes showed large increases in response to irrigation and were higher from the high-organic-matter substrate and with increased substrate depth. The strength of the CH₄ sink increased in response to prior irrigation treatments, and CH₄ emissions were detected only on low-organic-matter substrates early in the growing season. No effects of vegetation type were detected for either CO₂ or CH₄ flux. Our results indicate that high levels of organic matter in green roof substrates may enhance aerobic soil respiration but are not associated with CH₄ emissions, which instead were only detected in low-organic-matter substrates.

     

Effects of face masks on language comprehension in bilingual children

Due to the COVID-19 pandemic, many children receive language input through face coverings. The impact of face coverings for children's abilities to understand language remains unclear. Past research with monolingual children suggests that hearing words through surgical masks does not disrupt word recognition, but hearing words through transparent face shields proves more challenging. In this study, we investigated effects of different face coverings (surgical masks and transparent face shields) on language comprehension in bilingual children. Three-year-old English-Mandarin bilingual children (N = 28) heard familiar words in both English and Mandarin spoken through transparent face shields, surgical masks, and without masks. When tested in English, children recognized words presented without a mask and through a surgical mask, but did not recognize words presented with transparent face shields, replicating past findings with monolingual children. In contrast, when tested in Mandarin, children recognized words presented without a mask, through a surgical mask, and through a transparent face shield. Results are discussed in terms of specific properties of English and Mandarin that may elicit different effects for transparent face shields. Overall, the present findings suggest that face coverings, and in particular, surgical masks do not disrupt spoken word recognition in young bilingual children.     

Returning to the nest: Emerging adults living with parents during the COVID-19 pandemic

Changes in the working, study and social lives of emerging adults due to the COVID-19 pandemic have led to greater need for external supports. Many who lived independently may have sought that support by returning to live with parents. This study identifies factors associated with returns made between 2019 and 2020. It describes supports needed and obtained, relationships between parents and their resident emerging adults and identifies correlates of poor coping and high psychological distress. Data from the Longitudinal Surveys of Australian Youth and the Longitudinal Study of Australian Children were used and showed half of the emerging adults who moved did so due to COVID-19 restrictions. Loss of work and increased need for emotional and financial support were key drivers of moves. Nineteen per cent who returned found spending more time with family difficult and over half did not have their support needs fully met, increasing their odds of poor coping at that time (OR = 2.9, 4.3, respectively) and subsequent psychological distress (OR = 6.0). Families were an important source of support but could not necessarily mitigate all challenges; for some emerging adults, returning to live with parents gave rise to additional difficulties which negatively affected mental health.