The functional patterns of adolescent mothers leaving foster care: Results from a cluster analysis

Few studies have explored the outcomes of adolescent mothers leaving foster care, especially using person‐oriented methods. The current study employed a cluster analysis to identify unique patterns of functioning among adolescent mothers aged 19 (n = 777). Data from the National Youth in Transition Database and the Adoption and Foster Care Analysis and Reporting System were utilized. Findings revealed five subpopulations characterized by distinct constellations of outcomes at age 19. The largest group (43%) exhibited competent functioning across all the domains studied—its members were connected to school and/or employment and did not experience homelessness, substance abuse referrals, or incarceration during the past 2 years (i.e., “resilient”). A relatively small group (12%) exhibited challenges across all the above‐referenced domains, whereas the remaining groups presented challenges in some domains, but not in others. Follow‐up analyses revealed that adolescent mothers classified as resilient at age 19 had the lowest rates of congregate care placements and the highest rates of nonrelative foster care placements at age 17. Moreover, they had lower placement instability and higher rates of extended foster care as compared with members of the other clusters. Implications for practice, policy, and research are discussed.     

Patterns of alcohol use and marijuana use among students at 2- and 4-year institutions

Objective: The objective of this study was to understand substance use patterns of alcohol, marijuana, and simultaneous alcohol and marijuana (SAM) use among 2- and 4-year college students. Participants: Participants were 526 young adults aged 18–23 (n?=?355 4-year students; n?=?171 2-year students) recruited from February 2015 to January 2016 who were participating in a larger longitudinal study. Methods: Latent class analysis (LCA) was used to identify past-month classes of alcohol, marijuana, and SAM use. Results: Among both 2- and 4-year students, a four-class solution yielded the best-fitting model, with 2-year classes tending to include greater marijuana use and less alcohol use and 4-year classes tending to include heavy alcohol use. Demographic characteristics were largely similar across classes. Conclusions: Classes of alcohol, marijuana, and SAM use differed by education status. Screening and prevention efforts for 4-year students may need to be tailored for the needs of 2-year students.     

Resolving Rabin’s paradox

We present a theoretical model of Rabin’s famous calibration paradox that resolves confusions in the literature and that makes it possible to identify the causes of the paradox. Using suitable experimental stimuli, we show that the paradox truly violates expected utility and that it is caused by reference dependence. Rabin already showed that utility curvature alone cannot explain his paradox. We, more strongly, do not find any contribution of utility curvature to the explanation of the paradox. We find no contribution of probability weighting either. We conclude that Rabin’s paradox underscores the importance of reference dependence.

     

Development of the Emergency Department Senior Abuse Identification (ED Senior AID) tool

Emergency departments (EDs) are an important health care setting for the identification of elder abuse (EA). Our objective was to develop an ED-based tool to identify EA. The initial tool included a brief cognitive assessment, questions to detect multiple domains of EA, and a physical examination. Refinement of the tool was based on input from clinical experts and nurse and patient feedback. The revised tool, which included 15 questions about EA, was then tested in an academic ED. We calculated the inter-rater reliability, sensitivity, and specificity of individual EA questions. Among ED patients age≥65 (N = 259), 17 (7%) screened positive for suspicion of EA. We identified a combination of six questions that cover the included domains of EA, demonstrated good or excellent inter-rater reliability, and had a sensitivity and specificity of 94% (95% confidence interval (CI) 71–100%) and 90% (95% CI 85–93%), respectively. These results inform a proposed screening tool for multisite validation testing.     

Anxiety and depression among college students with attention-deficit/hyperactivity disorder (ADHD): Cross-informant,sex, and subtype differences

Objective: This study examined symptoms of anxiety and depression among college students with attention-deficit/hyperactivity disorder (ADHD). Participants: Data were collected between March 2011 and March 2016 from 150 college students with ADHD and 150 college students without ADHD. Method: Participants with ADHD were compared to a sex- and ethnicity-matched control group. For the ADHD group, parent and self-report of anxiety and depression were also compared. Results: College students with ADHD self-reported significantly higher anxiety and depressive symptoms than did students without ADHD. Scores on parent-report measures of anxiety and depressive symptoms were significantly higher than scores on self-report measures. Significant sex differences were found for participants with ADHD, with females showing higher depressive and anxiety symptoms than males. Parent-reported anxiety symptoms were higher for those with inattentive type ADHD compared to combined type ADHD. Conclusion: The current study highlights the importance of multi-informant assessment in ADHD evaluations for college-aged adults.     

Cleaning Up Water? Or Building Rural Community? Community Watershed Organizations in Pennsylvania*

Abstract Recent initiatives from state and federal government agencies have helped foster the formation of community‐based watershed organizations. Although there is a great deal of enthusiasm about the potential of these organizations to enhance water quality, relatively little attention has been paid to the impacts these organizations may have on the well‐being of rural communities more generally. Assessments of effectiveness have typically focused on specific activities and accomplishments, rather than a broader range of community‐based effects. In short, we ask whether community‐based environmental management improves community as well as environment. Our research utilized a mixed‐methods design, including a statewide mail survey of all Pennsylvania watershed organizations, followed by in‐depth interviews with 28 rural watershed organizations. This sequential approach progressively explored in more detail definitions of effectiveness, including the building of rural capacity. We find watershed organizations are potentially effective mechanisms for building local leadership, enhancing the skills of rural residents, and making valuable connections with other communities, facing similar water‐resource and rural‐development issues. However, the range of issues with which local watershed organizations engage and the methods they currently utilize may eventually limit their usefulness.     

An examination of the role of online social media in journalists’ source mix

Using telephone surveys of business/financial journalists in the United States (n = 200), this research investigates the agenda-building role of social media content in journalists’ work. Understanding that more non-public relations content from user-generated and social network sites, like YouTube and Twitter, are fast becoming resources for journalists to get story ideas, break scandals, and find sources, we began this scholarly work to determine the frequency of such uses of social media. Overall, findings indicate very little use of social media by these business journalists. Results and implications for public relations practitioners are discussed in detail.     

The effects of teenage childbearing on adult soft skills development

Research examining impacts of teenage childbearing on economic and social outcomes have focused on completed schooling and labor force outcomes. In this paper, we examine outcomes that have remained largely unexplored, soft skills and personality. We use Add Health data to construct relevant controls for teenage mothers and explore a set of measures that proxy for what is usually deemed in economics as “non-cognitive” or “soft skill” traits. We find that teenage childbearing increases impulsivity, a trait that has been found to have negative effects on a large set of outcomes and has a negative effect on other personality traits perceived as positive, such as openness to experiences. Our results remain consistent through a set of robustness checks, and we interpret our findings to suggest that adolescence may be a sensitive period for the development of soft skills and that childbearing may interrupt this process.     

Exploring the link between government funding and efficiency in nonprofit colleges

Previous literature has suggested that federal funding can hinder the efficiency of nonprofit organizations, but this has yet not been empirically tested. This study used a two‐stage data envelopment analysis (DEA) model to measure the efficiency of a set of private nonprofit teaching‐oriented colleges, then estimate the impact of federal and state funding on organizational efficiency. The findings indicate that, on average, increases in neither state nor federal funding effect efficiency of nonprofit colleges. Increasing state funding negatively impacted the efficiency of public colleges (N = 799). This study suggests that the challenges for nonprofits that accompany government funding may not rise to a quantifiable negative effect on efficiency.     

Suicide ideation,anxiety, and depression: Are children a protective factor for male Veterans?

ABSTRACT

Numerous mental health disorders plague our veterans when they return from deployment including anxiety and depressive disorders, which have been linked to elevated suicide risk when left untreated. Family factors, such as parenthood status, may serve as a protective factor against these mental health issues. This study examined the role of parenthood status of male veterans (N = 234) based on age of the child in order to determine whether a child’s age (minor children v. adult children) affects the likelihood of meeting diagnosis criteria for anxiety, depression, and suicide ideation after controlling for marital status. Three hierarchical binary logistic regression models were constructed to assess the predictive influence of children 18 years old and younger, children older than 18, and no children with the results indicating that parenthood status did meaningfully enhance the prediction of suicide ideation. Complete findings, clinical implications, and future considerations are discussed.