Race and Ethnic Self-Identification Influences on Physical and Mental Health Statuses Among Blacks

We examine if commonly used distress measures, rates of psychiatric disorders, and chronic health conditions are affected by alternate measures of race-ethnicity for African Americans and Caribbean blacks. We examined two alternative self-identification measures to investigate if their influence might differ. A study on national household probability sample of non-institutionalized African Americans (n = 3,570) and blacks from Caribbean countries, who now live in the United States (n = 1,621), was conducted between February 2001 and June 2003, using a slightly modified version of the Composite International Diagnostic Interview. The method used to measure black race and ethnicity has influence on physical and mental health outcomes. The distributions of depressive symptoms are not affected, while the distributions of DSM IV disorders and chronic health conditions vary by race and ethnic self-identifications among the African American and Caribbean black populations. There are serious implications of using alternate measures of race-ethnicity on the distribution of physical and mental health morbidity among African Americans and Caribbean blacks. The conceptualization and assessment of race-ethnicity should be carefully considered when studying mental and physical health statuses and service needs in the American black population.     

Should St. Merciful Hospital Become CorpHealth,Inc.?: Ownership and Quality in U.S. Health Care Organizations

In this article, a review of empirical research on ownership and quality of care suggests the existence of a quality gap between for‐profit and nonprofit firms in some health sectors, depending on the prevailing type of financial payment for health care. Results of a theoretical model incorporating quality of care suggest that the nondistribution constraint is a simple and powerful explanation for a higher level of patient care quality at nonprofit health care facilities when reimbursement for health services is fixed prospectively. Analysis suggests that review of future conversions of health care facilities from nonprofit to for‐profit status should take into consideration the implied effects of the conversion on patient outcomes.     

Kinship care or upbringing by relatives? The need for ‘new’ understandings in research

This article addresses knowledge production on formal kinship foster care. In spite of growing interest in this phenomenon, little attention has been paid to how kinship care should be understood in research – as a service under child protective services or as upbringing by relatives. Each of these understandings leads to different research questions and creates guidelines for what falls into or outwith the focus of research. In kinship care research, this phenomenon has primarily been studied as a service. Research that seeks to evaluate the effect of kinship care compared to non-kinship care is used as a case to discuss the implications for the type of knowledge that researchers produce. While we acknowledge the importance of this research, we demonstrate the many challenges it involves and why this should not be the primary focus in kinship care research. On the background of these limitations, we argue in favour of approaching kinship care as upbringing by relatives – as ways in which family life can be organised and structured. This can lead to relevant knowledge that will enable us to obtain a better understanding of what kinship care is and involves.     

Evaluating the human resource related soft dimensions in green supply chain management implementation

Because of increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimize the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dimensions influence the implementation of GSCM process greatly. In the literature, relatively less discussion is provided on assessing the significance of soft dimensions in efficient GSCM acceptance in industry. The present work is an attempt to construct a structural framework for assessing the significance of the soft dimensions in adopting GSCM concepts by taking a case of automotive company in India. A hybrid approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is employed in this work. BWM is used to prioritize the GSCM oriented soft dimensions, and DEMATEL is employed to extract interrelationships among them. The result shows that ‘Top management commitment’, ‘Employee involvement’, ‘Organizational culture’ and ‘Teamwork’ are the highly prioritized causal soft dimensions in efficient GSCM adoption. This research work would help industry managers and practitioners to decide where to concentrate for GSCM concepts in context of soft dimensions for sustainable business development.     

The relationship between social media use and sleep quality among undergraduate students

Insufficient sleep is a growing health problem among university students, especially for freshmen during their first quarter/semester of college. Little research has studied how social media technologies impact sleep quality among college students. This study aims to determine the relationship between social media use and sleep quality among freshman undergraduates during their first quarter in college. Specifically, we explored whether variations in Twitter use across the time of day and day of the week would be associated with self-reported sleep quality. We conducted a study of freshman Twitter-using students (N?=?197) over their first quarter of college, between October and December of 2015. We collected students’ tweets, labeled the content of the tweets according to different emotional states, and gave theme weekly surveys on sleep quality. Tweeting more frequently on weekday late nights was associated with lower sleep quality (β?=??0.937, SE?=?0.352); tweeting more frequently on weekday evenings was associated with better quality sleep (β?=?0.189, SE?=?0.097). Tweets during the weekday that were labeled related to the emotion of fear were associated with lower sleep quality (β?=??0.302, SE?=?0.131). Results suggest that social media use is associated with sleep quality among students. Results provided can be used to inform future interventions to improve sleep quality among college students.     

Kinship foster parenting; gender,class and labour-force participation

Objective: Knowledge about gender, class and labour-force participation of kinship foster parents in European countries is scarce. This study examines the gendered structure and generational pattern of kinship foster parenting in Norway and compares class components and labour-force participation of kinship foster mothers to the larger female population and to non-kinship foster mothers.

Method: The analysis is based on survey data on relationships between foster parents and child, social demographics and placement characteristics from 123 kinship and 88 non-kinship foster mothers of children in state custody. Labour Force Survey and Education Statistics from Statistics Norway were used to compare the kinship sample to the average female population.

Findings: Kinship foster care in Norway is gendered, in that it is women who assume the responsibility for relatives' children. Kinship foster care reflects class differences in that the educational level of kinship foster mothers and their household income are lower than the average female population and of non-kinship foster mothers in Norway. The labour-force participation of kinship foster mothers in Norway is comparable to that of the country's female population in general, except for women aged 35–55 with children under seven, among whom labour-force participation is lower than for the female population.     

A New Approach to Hazardous Materials Transportation Risk Analysis: Decision Modeling to Identify Critical Variables

We take a novel approach to analyzing hazardous materials transportation risk in this research. Previous studies analyzed this risk from an operations research (OR) or quantitative risk assessment (QRA) perspective by minimizing or calculating risk along a transport route. Further, even though the majority of incidents occur when containers are unloaded, the research has not focused on transportation-related activities, including container loading and unloading. In this work, we developed a decision model of a hazardous materials release during unloading using actual data and an exploratory data modeling approach. Previous studies have had a theoretical perspective in terms of identifying and advancing the key variables related to this risk, and there has not been a focus on probability and statistics-based approaches for doing this. Our decision model empirically identifies the critical variables using an exploratory methodology for a large, highly categorical database involving latent class analysis (LCA), loglinear modeling, and Bayesian networking. Our model identified the most influential variables and countermeasures for two consequences of a hazmat incident, dollar loss and release quantity , and is one of the first models to do this. The most influential variables were found to be related to the failure of the container. In addition to analyzing hazmat risk, our methodology can be used to develop data-driven models for strategic decision making in other domains involving risk.     

Problem Gambling and Comorbid Psychiatric and Substance Use Disorders Among Drug Users Recruited from Drug Treatment and Community Settings

Little is known about gambling rates of drug users recruited from drug treatment compared with those recruited from the community. We use the Diagnostic Interview Schedule (DIS) to provide lifetime prevalence estimates of problem gambling (i.e., at least one gambling problem) and DSM-III-R pathological gambling (i.e., at least four gambling problems) and describe the association between gambling and psychiatric disorders for drug users recruited from drug treatment settings (n = 512) and from the community (n = 478). We also report the relative risk of being a recreational and problem gambler in this sample. The sample was first interviewed in 1989–90 as a partof two NIDA-funded St. Louis-based studies. The prevalence of problem gambling in the overall sample was 22% and the prevalence of pathological gambling was 11%. There were no statistically significant differences in problem and pathological gambling rates for subjects recruited from drug treatment and those recruited from the community. The conditional prevalence rates, that is, the rate of problem and pathological gambling only among gamblers were 27% and 13.5%, respectively. Major findings indicate that problem gambling was associated with Antisocial Personality Disorder (ASPD), even after controlling for recruitment source and socio-demographic characteristics. In fact, when examining the temporal order of these disorders, we found that pathological gambling was always secondary to ASPD, occurring on average 11.4 years after the onset of ASPD. Problem gamblers, compared with everyone else, were more likely to be male, African-American, recruited from drug treatment, have ASPD and be dependent on illicit drugs. Multinomial logistic regression analysis predicted the relative risk of being a recreational and problem gambler (compared with a nongambler) in this sample according to socio-demographics, ASPD, and dependence on illicit drugs. Results imply that screening for gambling problems will need to be broad-based among drug users.