Exploring the role of faith in resettlement among Muslim Syrian refugees

ABSTRACT

Over 95% of the refugees from Syria who have resettled in the United States are Muslim. The purpose of this qualitative study was to explore the role of the Islamic faith in contributing to resiliency among recently resettled refugees from Syria. Ten in-depth, semi-structured interviews were conducted with Syrian adults who had arrived in the United States between 3 months and 2 years prior to the study. Findings emphasized the primary role of the Islamic faith in the lives of participants. For participants in this study, identifying as Muslim was an essential part of their identity and served as a source of comfort, strength, pride, and humility. Parents in the study expressed fears that their children would lose their connection to their culture and would grow up to devalue the Islamic faith and traditional religious practices due to their exposure to American values which they viewed less strict regarding dress, alcohol consumption, and faith practices. Understanding the important role that the Islamic faith can have in providing a source of comfort, strength, and empowerment for Syrian refugees, and working to build infrastructure to support and sustain these faith traditions is an essential component of refugee resettlement in the United States.     

Randomized controlled trial of the Resilience and Coping Intervention (RCI) with undergraduate university students

Objective: The purpose of this pilot study was to evaluate the Resilience and Coping Intervention (RCI) with college students. Participants: College students (aged 18–23) from a large Midwest US university who volunteered for a randomized controlled trial during the 2015 spring semester. Methods: College students were randomly assigned to an intervention (n = 64) or a control (n = 65) group. Intervention participants received three 45-minute RCI sessions over subsequent weeks. All participants completed pre- and post-intervention assessments at the beginning of Week 1 and end of Week 3. Student resilience, coping, hope, stress, depression, and anxiety were assessed. Results. RCI participants reported significantly more hope and less stress and depression from Week 1 to Week 3 compared with control participants. Results for resilience also approached statistical significance. Effect sizes were small to moderate. Conclusions: This study found preliminary evidence that RCI is an effective resilience intervention for use with college students.     

The intersection of nonsuicidal self-injury and suicide-related behavior: Patterns of elevated risk and implications for college mental health

Objective: To analyze the overlap of nonsuicidal self-injury (NSSI) and suicide-related behaviors (SRB) among college students with regard to demographics, mental health, and coping styles. Participants: Respondents were 572 undergraduate students at a southwestern public university. Methods: Data were collected in 2015. Respondents completed a demographic survey and assessments of NSSI, SRB, internalizing symptoms (ie, anxiety, stress, and depression), aggression, and negative coping strategies. The survey was administered via a Web-based procedure. Results: Women reported more frequent cutting behaviors than men. Endorsement of NSSI was also associated with an increased likelihood of lifetime SRB. A subgroup of students endorsing both NSSI and SRB demonstrated poorer mental health, more negative coping, and self-reported female sex. Conclusions: College healthcare providers may benefit from competency-based training in techniques for the combination treatment of NSSI and SRB, as well as culturally based models of suicide.     

College students coping with interpersonal stress: Examining a control-based model of coping

Objective: The ways that college students cope with stress, particularly interpersonal stress, may be a critical factor in determining which students are at risk for impairing mental health disorders. Using a control-based model of coping, the present study examined associations between interpersonal stress, coping strategies, and symptoms. Participants: A total of 135 undergraduate students from 2 universities. Methods: Interpersonal stress, coping strategies, depression, anxiety, and somatization were assessed via self-report. Results: Students reporting more interpersonal stress reported more depression, anxiety, and somatization, and they reported less use of engagement coping strategies and greater use of disengagement coping strategies. Engagement coping strategies accounted for a significant portion of the association between interpersonal stress and mental health symptoms. Unexpectedly, coping strategies did not moderate the association between stress and mental health symptoms. Conclusion: Interventions designed to improve students' coping strategies may be an effective way to reduce mental health problems on college campuses.     

Responding to teen dating violence: Perspectives from mothers who have been abused and seeking services in domestic violence shelters

ABSTRACT

Teen dating violence (TDV) is a significant public health problem, but we know little about how mothers who have been abused respond to TDV. This article analyzes qualitative data from three focus groups conducted with 17 mothers who had experienced abuse. Mothers responded to four hypothetical scenarios of their child reporting TDV to them. Mothers reported that their approach to children’s reports of TDV would entail engaging in varying levels of authoritarianism, considering the gender of the child, and exercising caution in their responses. In response to the scenarios, mothers stated that they would ask questions, educate their teens, contact the perpetrator and/or parents, share their own experiences, and call for outside help. The study’s findings may assist prevention educators working with mothers who experienced abuse in responding to their children’s disclosures of incidents of TDV.     

Joint GEEs for multivariate correlated data with incomplete binary outcomes

This study considers a fully-parametric but uncongenial multiple imputation (MI) inference to jointly analyze incomplete binary response variables observed in a correlated data settings. Multiple imputation model is specified as a fully-parametric model based on a multivariate extension of mixed-effects models. Dichotomized imputed datasets are then analyzed using joint GEE models where covariates are associated with the marginal mean of responses with response-specific regression coefficients and a Kronecker product is accommodated for cluster-specific correlation structure for a given response variable and correlation structure between multiple response variables. The validity of the proposed MI-based JGEE (MI-JGEE) approach is assessed through a Monte Carlo simulation study under different scenarios. The simulation results, which are evaluated in terms of bias, mean-squared error, and coverage rate, show that MI-JGEE has promising inferential properties even when the underlying multiple imputation is misspecified. Finally, Adolescent Alcohol Prevention Trial data are used for illustration.     

Marginal models for the association structure of hierarchical binary responses

Clustered binary responses are often found in ecological studies. Data analysis may include modeling the marginal probability response. However, when the association is the main scientific focus, modeling the correlation structure between pairs of responses is the key part of the analysis. Second-order generalized estimating equations (GEE) are established in the literature. Some of them are more efficient in computational terms, especially facing large clusters. Alternating logistic regression (ALR) and orthogonalized residual (ORTH) GEE methods are presented and compared in this paper. Simulation results show a slightly superiority of ALR over ORTH. Marginal probabilities and odds ratios are also estimated and compared in a real ecological study involving a three-level hierarchical clustering. ALR and ORTH models are useful for modeling complex association structure with large cluster sizes.     

Optimum designs for parameter estimation in a mixture experiment with two correlated responses

In this paper, we investigate a mixture problem with two responses, which are functions of the mixing proportions, and are correlated with known dispersion matrix. We obtain D- and A-optimal designs for estimating the parameters of the response functions, when none or some of the regression coefficients of the two functions are the same. It is shown that when no prior knowledge about the regression coefficients is available, the D-optimal design is independent of the dispersion matrix, while the A-optimal design depends on it, provided the response functions are of different degree. On the other hand, when some of the regression coefficients are known to be the same for both the functions, the D-optimal design depends on the dispersion matrix when the two response functions are not of the same degree.     

Disclosure Stress,Social Support,and Depressive Symptoms Among Cisgender Bisexual Youth

Bisexual youth are at elevated risk for depression when compared with lesbians and gay men. Research on bisexual stigma suggests that these youth are uniquely vulnerable to stress related to sexual identity disclosure. Depression associated with this stress may be buffered by social support from parents and friends. We examined the differential influence of social support from parents and friends (Child and Adolescent Social Support Scale) on the relation between disclosure stress (LGBTQ Coming Out Stress Scale) and depressive symptoms (Beck Depression Inventory) and differences by gender in a sample of cisgender bisexual youth (N = 383) using structural equation modeling. Parental support buffered the association between stressful disclosure to family and depressive symptoms, especially for bisexual men; bisexual women seemed not to benefit from such support when disclosure stress was high. This nuanced examination elucidates the ways family members and clinicians can best support bisexual youth sexual identity disclosure.     

The demography of words: The global decline in non-numeric fertility preferences, 1993–2011

This paper examines the decline in non-numeric responses to questions about fertility preferences among women in the developing world. These types of response—such as ‘don’t know’ or ‘it’s up to God’—have often been interpreted through the lens of fertility transition theory as an indication that reproduction has not yet entered women’s ‘calculus of conscious choice’. However, this has yet to be investigated cross-nationally and over time. Using 19?years of data from 32 countries, we find that non-numeric fertility preferences decline most substantially in the early stages of a country’s fertility transition. Using country-specific and multilevel models, we explore the individual- and contextual-level characteristics associated with women’s likelihood of providing a non-numeric response to questions about their fertility preferences. Non-numeric fertility preferences are influenced by a host of social factors, with educational attainment and knowledge of contraception being the most robust and consistent predictors.