The importance of type, amount, and timing of internet use for understanding psychological distress

Objective. Few social scientists have examined how Internet usage, including using the Internet for health purposes, may affect mental health. This study assesses whether the type or amount of online health activities and the timing of Internet use are associated with psychological distress.Methods. We use data from the National Cancer Institute's 2005 Health Information National Trends Survey.Results. When we compare Internet users to non-Internet users, using the Internet and using the Internet for health purposes are negatively associated with distress. However, among Internet users, the number of online health activities is positively associated with distress. Greater distress is also associated with using the Internet on weekdays and looking online for information on sun protection.Conclusions. Internet usage is not necessarily positively associated with psychological distress. The effects depend on the type, amount, and timing of Internet usage.     

CORRELATIONS AND CHARACTERIZATIONS OF THE UNIFORM DISTRIBUTION

Two characterizations of the uniform distribution on a suitable compact space are proved. These characterizations are applied to a number of particular examples of which the most interesting is the following: if X , Y and Z are independent n-vectors whose components are independent and identically distributed within a vector, then the pairwise independence of the product moment correlation coefficients between X , Y and Z implies that these vectors are normally distributed.     

Comparing apology to equivalent crisis response strategies: Clarifying apology's role and value in crisis communication

Crisis communication has begun to systematically examine how people perceive the crisis response strategies using experimental designs. This is an important step in the evolution of crisis communication research. One problem with this research has been the over promotion of apology as “the” response. Too often the value of an apology is established by comparing how people react to an apology and to other less victim-centered/accommodative responses. This “unfair” comparison results in apology appearing to be “the” best alternative. This study compares apology to more equivalent crisis response strategies to more fairly determine if apology is “the” best strategy. The results show that people react similarly to any victim-centered/accommodative strategy meaning apology is not “the” best strategy. The implications of the results for crisis managers are discussed.     

Development of Risk-Based Ranking Measures of Effectiveness for the United States Coast Guard's Vessel Inspection Program

This paper describes the results of an analysis of the effectiveness of the U.S. Coast Guard's efforts to promote the safety of life and property at sea through its program to inspect large, ocean-going vessels. The effectiveness of specific U.S. Coast Guard vessel inspection activities was evaluated using risk-based metrics that linked categories of root causes of accidents to the particular inspection activities designed to reduce the risk of each root cause category. The results demonstrate a risk-based ranking of USCG inspection activities. These metrics, describes as measures of effectiveness (MOEs), yield insights regarding the most beneficial areas in which to concentrate inspection resources. Insights regarding quality of vessel casualty investigation data and database design as related to risk-based importance analysis are also discussed. The MOEs constructed in this study are specific to the USCG's Marine Inspection and Boarding Program, but the methodology of the study is based on sound theoretical principles that are probably applicable to a range of maritime safety activities. Hence the methodology applies equally to other important governmental regulatory programs and can be similarly used to measure their effectiveness and as an aid to decision-making.     

Agreement Between Scales in the Measurement of Breast Cancer Risk Perceptions

The objective of this article is to compare the accuracy and numeric responses of breast cancer risk perception as measured by a frequency scale and percentage scale. A cross-sectional survey was conducted. Perceptions of five-year and lifetime breast cancer risk were measured using a frequency and a percentage scale. Estimation error was calculated as the absolute difference between actual breast cancer risk as determined by the Gail model and perceived risk. Agreement between scales was determined by calculating the mean and standard deviation of the difference between numeric responses. The study was conducted among women enrolled in two primary care clinics associated with an academic medical center. Two-hundred-fifty-four participants were recruited from one of the two participating internal medicine clinics. Inclusion criteria included female gender and age 40-84 years. Exclusion criteria included a history of breast cancer, dementia, or a life expectancy of less than two years. The frequency scale was more accurate than the percentage scale in estimating lifetime risk (p= 0.05), but less accurate in estimating five-year risk (p < 0.02). Only 79 participants (31%) were considered consistent scale users, providing identical responses when using the frequency and percentage scale for a given risk estimate. Although the mean difference (percentage-frequency scale) for estimates of breast cancer lifetime risk was only 2.4, the empirically determined 90% limits of agreement between the frequency and percentage scale for lifetime risk were wide, from -30 to 40. Higher numeracy was associated with consistent use of scales (OR 1.61, 95% CI; 1.09-2.37). We report disagreement in breast cancer risk perceptions when measured by a frequency and a percentage scale. The accuracy and direction of bias associated with each scale varies according to the time frame of risk being assessed.     

‘Spatializing’ knowledge communities: towards a conceptualization of transnational innovation networks

In this article we seek to move beyond existing conceptualizations of innovation systems in two key respects. First, we identify the need for a shift away from research that focuses on discrete scales as the locus for understanding innovation towards that which places more emphasis on network relationships operating between and across different scales. Second, we illustrate the need for approaches that recognize the significance of innovative networks that extend beyond firms and, in particular, those associated with the movement of knowledgeable individuals. By synthesizing recent insights from three literatures on ‘communities’ of varying kinds — namely communities of practice, knowledge communities and transnational communities — we propose a conceptualization of transnational innovation networks based around three overlapping and mutually constitutive domains. In addition to the much‐studied ‘corporate‐institutional’ domain, we also identify ‘social network’ and ‘hegemonic‐discursive’ domains that may be important components of transnational innovation networks operating across different localities.     

Executive Turnover and the Legal Environment: The Case of California Hospitals, 1960–1995

Examinations of executive turnover have analyzed whether poor organizational performance predicts changing leadership. However, few have examined environmental factors affecting turnover. Applying event history analysis to a random sample of California hospitals, we find that poor performance prompts executive turnover and that the legal environment impacts turnover in three ways. First, the legal form of hospitals shapes evaluation and replacement of executives. Second, a shift in the legal definition of not-for-profit hospitals affects turnover. Finally, turnover increases when hospitals change from for-profit to not-for-profit and vice versa. These findings persist in the presence of numerous control variables.