Trait Mindfulness and Anger in the Family: A Dyadic Analysis of Male Service Members and their Female Partners

Anger-related problems have been documented among post-deployed service members who returned home, posing risks to their well-being and increasing distress in their families. Trait mindfulness (acting with awareness, nonjudging, and nonreactivity) has been associated with lower self-reported anger. Using actor–partner interdependence models, we tested the association between trait mindfulness and parental anger observed in parent–child and couple interactions. The sample consisted of 155 dyads of male National Guard/Reserve members who had been recently deployed and returned, and their female non-deployed partners. Results showed that fathers’ and mothers’ nonreactivity was negatively associated with their own observed anger, indicating that parents who reported higher nonreactivity exhibited lower anger. Mothers’ nonreactivity was also negatively associated with observed fathers’ anger in the same family such that fathers exhibited lower anger when their female partner reported higher nonreactivity. Nonreactivity facilitates emotion regulation and its cultivation may reduce anger in post-deployed military families.     

Attentional Control Explains Covariation Between Symptoms of Attention‐Deficit/Hyperactivity Disorder and Anxiety During Adolescence

Symptoms of attention‐deficit/hyperactivity disorder (ADHD) and anxiety are common during adolescence and frequently co‐occur. However, the genetic and environmental influences that underlie this co‐occurrence are understudied. Using a large twin sample (N = 1,017), we examined cross‐sectional genetic and environmental influences on ADHD and anxiety symptoms during childhood. We also explored whether these influences were shared with attentional control, a putative mechanism for symptom comorbidity. We found evidence for common genetic and nonshared environmental influences on the covariation among attentional control, ADHD, and anxiety symptoms, supporting the putative role of attentional control as a mechanism by which comorbid problems may develop. Genetic factors also accounted for symptom co‐occurrence after controlling for covariation with attentional control, suggesting the presence of additional unmeasured mechanisms.     

NUDGING LIFE INSURANCE HOLDINGS IN THE WORKPLACE

Using data from a university, we analyze a policy designed to increase employer‐sponsored life insurance. The university increased basic life insurance holdings, which nudged employees with supplemental coverage to have more life insurance. In large part due to inertia, the nudge increased life insurance holdings one‐for‐one for those who could have undone it. Additionally, we find that expanding coverage options significantly increased total life insurance holdings for new hires who were not subject to inertia. These policy changes reduced uninsured vulnerabilities for two‐thirds of employees. Our findings have important policy implications for addressing widespread disparities in life insurance coverage. (JEL D31, G22, D03, J32, J33, J38, H20)     

Big Data in Social Welfare: The Development of a Critical Perspective on Social Work's Latest “Electronic Turn”

ABSTRACT

“Big data” initiatives that aim to bring together and mine data from multiple databases across government and non-government agencies promise new insights into the delivery of social services. However, as debates in other disciplines have shown, big data poses challenges as well as opportunities. This article provides an overview of the ethical issues in relation to big data, which extends into an examination of the practice issues for big data applied to the social welfare sector. In particular, the claims for objectivity made for big data are problematised through an exploration of what data are available in social welfare and the processes of big data collection and analysis, which are different from, but related to, data integrity. The aim is to stimulate debate within the sector in order to contribute to the development of a critical, cautious, but open approach to social work's latest “electronic turn”.     

City size matters: Vietnamese immigrants having depressive symptoms

This cross-national study identified predictive factors contributing to depression among 691 Vietnamese migrated to the United States who responded to a community survey in two American cities. Measured by HSCL-25, the overall depression prevalence was 30.5%, higher in a large (32.3%) than mid-size city (19.8%). Logistic regression showed that immigration issues, residing in a large city, being female, having health concerns, and experiencing family concerns are significantly related to Vietnamese immigrants having depressive symptoms. Over half (51.4%) of the respondents sought help, and 46.3% preferred seeing their physicians to address mental health issues. Pre-migration counseling is recommended to prevent depression.     

Chronic care,integrated care,and mental health: Moving the needle now

Healthcare reform is currently a hot topic in the United States, and the Chronic Care Model has frequently been cited as the foundation of recent attempts to integrate mental health and physical health care. However, challenges exist to fully integrated care that have delayed adequately meeting the multiple needs of mental health service recipients. This article highlights multiple changes that can be incorporated into mental health care now, derived from the Chronic Care Model, to better meet clients’ physical and mental health needs. These changes include focusing on population-level data and incorporating technology and multidisciplinary teams in treatment and prevention efforts.     

Heteroskedasticity–robust tests with minimum size distortion

Asymptotically valid inference in linear regression models is easily achieved under mild conditions using the well-known Eicker–White heteroskedasticity–robust covariance matrix estimator or one of its variant. In finite sample however, such inferences can suffer from substantial size distortion. Indeed, it is well established in the literature that the finite sample accuracy of a test may depend on which variant of the Eicker–White estimator is used, on the underlying data generating process (DGP) and on the desired level of the test.

This paper develops a new variant of the Eicker–White estimator which explicitly aims to minimize the finite sample null error in rejection probability (ERP) of the test. This is made possible by selecting the transformation of the squared residuals which results in the smallest possible ERP through a numerical algorithm based on the wild bootstrap. Monte Carlo evidence indicates that this new procedure achieves a level of robustness to the DGP, sample size and nominal testing level unequaled by any other Eicker–White estimator based asymptotic test.     

Computationally tractable approximate and smoothed Polya trees

A discrete approximation to the Polya tree prior suitable for latent data is proposed that enjoys surprisingly simple and efficient conjugate updating. This approximation is illustrated in two applied contexts: the implementation of a nonparametric meta-analysis involving studies on the relationship between alcohol consumption and breast cancer, and random intercept Poisson regression for Ache armadillo hunting treks. The discrete approximation is then smoothed with Gaussian kernels to provide a smooth density for use with continuous data; the smoothed approximation is illustrated on a classic dataset on galaxy velocities and on recent data involving breast cancer survival in Louisiana.