Rural-urban differences in college students’ cardiovascular risk perceptions

Abstract

Objective: To examine rural-urban differences in college students’ cardiovascular risk perceptions. Participants: College students in rural (n?=?61) and urban (n?=?57) Kentucky counties were recruited from November 2012 to May 2014. Methods: This was a secondary data analysis of a cross-sectional study examining rural-urban differences in cardiovascular risk factors. Students rated their risk for developing high blood pressure, diabetes, high cholesterol, heart disease, having a stroke, and gaining excess weight. Chi-square and logistic regression were used for data analysis. Results: Rural students had lower odds of perceived high risk for developing high blood pressure compared to urban students (odds ratio (OR): 0.32, 95% CI: 0.11–0.96) after adjusting for race, sex, and body mass index. This association was not observed after adjusting for healthcare access variables. No other significant differences were observed. Conclusions: Efforts to raise perceived risk for developing hypertension among rural college students may be warranted.     

Knowledge of Suicide Risk Factors,But Not Suicide Ideation Severity,Is Greater Among College Students Who Viewed 13 Reasons Why

Abstract

Objective: To test associations between viewing 13 Reasons Why, Season 1 and past week suicide ideation severity, behavior risk, stigma, and knowledge in college students. To explore whether personal exposure to suicide and depressive symptom severity moderated these associations. Participants: Eight-hundred and eighteen college students, 64% (n?=?522) of whom watched 13 Reasons Why. Methods: Students completed surveys online. Multivariate negative binomial regressions were used to test associations between watching 13 Reasons Why and suicide-related variables, and interaction terms. Results: Suicide ideation severity and suicide behavior risk were not significantly associated with viewing 13 Reasons Why; however, there was limited statistical power to detect associations. The association between watching 13 Reasons Why and greater suicide knowledge was stronger among those who did not have personal exposure to suicide. Conclusions: 13 Reasons Why may be a platform for psychoeducation on suicide, particularly among those who do not have personal exposure.     

‘Seeing through their Eyes’: Towards Understanding Risk and Protection Perspectives of Young Bedouin Children in the Unrecognised Villages of the Naqab

This article is based on a participatory, context-informed study that examined perception of ‘risk’ and ‘protection’ among 30 Bedouin children aged four to five. It was conducted in the Bedouin unrecognised villages — Southern Israel and utilised photography, drawings and verbal explanations. The analysis yielded seven themes representing children’s perceptions of risk and protection. It indicated that children facing extreme adversity were aware of numerous risk conditions, including a lack of infrastructure and the fear of losing their homes, thus adversely affecting their well-being. Children’s insights, and suggested modes of protection, as the study findings reveal, are crucial for promoting children’s welfare.     

Integrating risk and performance management in quality management systems for the development of complex bespoke systems (CBSs)

Abstract

Risk and performance management are at the core of complex bespoke systems (CBSs). CBSs are developed to customer–specified requirements in terms of structure, functionality and conformance. This article examines how risk and performance management are integrated as essential systems in the successful development of projects across multi-organizational functions in complex bespoke system (CBS) organizations. The article argues for the development of a quality management system that consists of two sub-processes: quality control and quality development. Using three case studies from engineering companies, we provide evidence and insights of the way change control, quality development and quality performance are developed in innovating business solutions.     

Tiered Approach to Resilience Assessment

Regulatory agencies have long adopted a three‐tier framework for risk assessment. We build on this structure to propose a tiered approach for resilience assessment that can be integrated into the existing regulatory processes. Comprehensive approaches to assessing resilience at appropriate and operational scales, reconciling analytical complexity as needed with stakeholder needs and resources available, and ultimately creating actionable recommendations to enhance resilience are still lacking. Our proposed framework consists of tiers by which analysts can select resilience assessment and decision support tools to inform associated management actions relative to the scope and urgency of the risk and the capacity of resource managers to improve system resilience. The resilience management framework proposed is not intended to supplant either risk management or the many existing efforts of resilience quantification method development, but instead provide a guide to selecting tools that are appropriate for the given analytic need. The goal of this tiered approach is to intentionally parallel the tiered approach used in regulatory contexts so that resilience assessment might be more easily and quickly integrated into existing structures and with existing policies.     

Farmers’ Risk‐Based Decision Making Under Pervasive Uncertainty: Cognitive Thresholds and Hazy Hedging

Researchers in judgment and decision making have long debunked the idea that we are economically rational optimizers. However, problematic assumptions of rationality remain common in studies of agricultural economics and climate change adaptation, especially those that involve quantitative models. Recent movement toward more complex agent‐based modeling provides an opportunity to reconsider the empirical basis for farmer decision making. Here, we reconceptualize farmer decision making from the ground up, using an in situ mental models approach to analyze weather and climate risk management. We assess how large‐scale commercial grain farmers in South Africa (n = 90) coordinate decisions about weather, climate variability, and climate change with those around other environmental, agronomic, economic, political, and personal risks that they manage every day. Contrary to common simplifying assumptions, we show that these farmers tend to satisfice rather than optimize as they face intractable and multifaceted uncertainty; they make imperfect use of limited information; they are differently averse to different risks; they make decisions on multiple time horizons; they are cautious in responding to changing conditions; and their diverse risk perceptions contribute to important differences in individual behaviors. We find that they use two important nonoptimizing strategies, which we call cognitive thresholds and hazy hedging, to make practical decisions under pervasive uncertainty. These strategies, evident in farmers' simultaneous use of conservation agriculture and livestock to manage weather risks, are the messy in situ performance of naturalistic decision‐making techniques. These results may inform continued research on such behavioral tendencies in narrower lab‐ and modeling‐based studies.     

A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods

Scour (localized erosion by water) is an important risk to bridges, and hence many infrastructure networks, around the world. In Britain, scour has caused the failure of railway bridges crossing rivers in more than 50 flood events. These events have been investigated in detail, providing a data set with which we develop and test a model to quantify scour risk. The risk analysis is formulated in terms of a generic, transferrable infrastructure network risk model. For some bridge failures, the severity of the causative flood was recorded or can be reconstructed. These data are combined with the background failure rate, and records of bridges that have not failed, to construct fragility curves that quantify the failure probability conditional on the severity of a flood event. The fragility curves generated are to some extent sensitive to the way in which these data are incorporated into the statistical analysis. The new fragility analysis is tested using flood events simulated from a spatial joint probability model for extreme river flows for all river gauging sites in Britain. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event. The analysis is used to estimate the probability of single or multiple bridge failures in Britain's rail network. Combined with a model for passenger journey disruption in the event of bridge failure, we calculate a system‐wide estimate for the risk of scour failures in terms of passenger journey disruptions and associated economic costs.     

Risk Mapping of Groundwater‐Drawdown‐Induced Land Subsidence in Heterogeneous Soils on Large Areas

Groundwater leakage into subsurface constructions can cause reduction of pore pressure and subsidence in clay deposits, even at large distances from the location of the construction. The potential cost of damage is substantial, particularly in urban areas. The large‐scale process also implies heterogeneous soil conditions that cannot be described in complete detail, which causes a need for estimating uncertainty of subsidence with probabilistic methods. In this study, the risk for subsidence is estimated by coupling two probabilistic models, a geostatistics‐based soil stratification model with a subsidence model. Statistical analyses of stratification and soil properties are inputs into the models. The results include spatially explicit probabilistic estimates of subsidence magnitude and sensitivities of included model parameters. From these, areas with significant risk for subsidence are distinguished from low‐risk areas. The efficiency and usefulness of this modeling approach as a tool for communication to stakeholders, decision support for prioritization of risk‐reducing measures, and identification of the need for further investigations and monitoring are demonstrated with a case study of a planned tunnel in Stockholm.     

The Ethical Foundations of Risk Analysis

In the field of risk analysis, the normative value systems underlying accepted methodology are rarely explicitly discussed. This perspective provides a critique of the various ethical frameworks that can be used in risk assessments and risk management decisions. The goal is to acknowledge philosophical weaknesses that should be considered and communicated in order to improve the public acceptance of the work of risk analysts.