Parenting and child-caretaking among black men who have sex with men and associated sexual and reproductive health factors: a brief report

Abstract

The purpose of this exploratory study was to examine the prevalence of parenting and child-caretaking among a sample of black men who have sex with men (MSM), as well as associations between parenting roles and sexual and reproductive health (SRH) factors. Parenting and SRH data were derived from a survey of 199 black MSM. Nearly half of the sample reported being a father or father-figure (44.4%), almost a third indicated serving as caretaker of a child (29.1%), and one in five have a biological child (20.1%). Over half of the sample reported at least one of these three parenting/child-caretaking roles (52.5%). Two significant differences were observed for sexual health variables: men with biological children were significantly more likely to report using condoms inconsistently (55.0% vs. 35.7%, p = .026) and engaging in transactional sex work (36.8% vs. 21.0%, p = .041). Given the observed prevalence, parenting and child-caretaking among black MSM warrant further inquiry as factors that may influence SRH outcomes and care utilization. Services and interventions tailored to black MSM should consider these men’s potential roles and responsibilities as parents and caretakers of children.     

An exploration of social & emotional factors impacting well-being in women who have sex with women (WSW)

Abstract

“Women who have sex with women” or WSW have unique perspectives within the LBGTQ spectrum. The purpose of this study included documenting perceptions, feelings, and experiences among WSW. Thirty-seven women participated in six focus groups, ages ranged from 20–64 years. Responses were transcribed and thematically coded. Four themes emerged as influencing factors: shame and fear, community, gender roles, and normalcy. Each major theme produced minor themes providing a context within major themes. Results offer valuable insights that can assist community members, health professionals, and scientists to better appraise the disparities and stigma impacting social and emotional well-being among WSW.     

Meta-cognition and resistance to political persuasion: evidence from a three-wave panel study

ABSTRACT

We investigate the temporal course of meta-cognition and resistance processes following exposure to counter-attitudinal information in the 2012 Presidential election. Using a unique 3-wave survey panel design, we tracked eligible voters during the last months of the 2012 campaign and experimentally manipulated exposure to negative political messages targeting Barack Obama and Mitt Romney on an online platform. As predicted, we found that politically unengaged (vs. engaged) individuals were less likely to counter-argue a message attacking their favored candidate. Resistance, in turn, led to increased attitudinal certainty, polarization, and correspondence with actual voting behavior over the course of the campaign. These findings provide the first analysis of the longitudinal effects of meta-cognitive processes underlying persuasion for real-world attitude change and behavior.     

Trends in college students’ mental health diagnoses and utilization of services, 2009–2015

Abstract

Objective: To examine changes in diagnoses/treatment for 12 mental health (MH) conditions, previous use of campus MH services, and willingness to seek MH services in the future. Participants: ACHA–NCHA II participants from 2009 to 2015 (n?=?454,029). Methods: Hierarchical binary logistic regression with step 1 controlling for demographics and step 2 considering time. Results: Time was significant except for bipolar disorder, bulimia, and schizophrenia with increases for all conditions except substance abuse. Anxiety (OR?=?1.68), panic attacks (OR?=?1.61), and ADHD (OR?=?1.40) had the highest odd ratios. Use of MH services at current institution (OR?=?1.30) and willingness to utilize services in the future (OR?=?1.37) also increased over time. Conclusions: Based on a national sample, self-reported diagnoses/treatment of several MH conditions are increasing among college students. This examination of a variety of MH issues can aid college health professionals to engage institutional stakeholders regarding the resources needed to support college students’ MH.     

Help-seeking behaviors and attitudes of emerging adults: How college students reporting recent suicidal ideation utilize the internet compared to traditional resources

Abstract

Objective: Suicide is the second leading cause of death among emerging adults, yet little is known regarding their online help-seeking. Participants: The National Research Consortium of Counseling Centers in Higher Education's dataset (N=26,292). Methods: Students across the United States were recruited from 73 four-year institutions to participate during the 2010–2011 school year. Results: Observed the effectiveness of online and traditional help-seeking stratified by recent suicidal ideation related to their most distressful period in the past year. Females and younger students endorsed both types of help-seeking, yet those with recent ideation were less likely to disclose any help-seeking. Among those reporting recent ideation, only females reported that traditional supports were more than moderately helpful. Regardless of whether students endorsed ideation, students who were younger, engaged in risky behaviors and identified as females reported that online resources were more than moderately helpful. Conclusions: Online resources could potentially bridge barriers to traditional help-seeking for those reluctant to seek out care, yet traditional resources were reported to be the most effective among this sample.     

Psychometric validation of the PERMA-profiler as a well-being measure for student veterans

Abstract

Objective: The current study aims to validate the PERMA-Profiler, a well-known well-being measure, among a sample of student veterans. Participants: A sample of 205 student veterans were recruited from universities across the United States. Method: Cross-sectional research design was used in this study. Measurement structure of the PERMA-Profiler was evaluated using exploratory factor analysis (EFA). Convergent, divergent, and criterion-related validity was tested using Pearson correlation coefficients and Kruskal-Wallis test. Results: The EFA results yielded a two-factor solution for student veterans. Factors are named as emotional character strengths and performance character strengths. Conclusions: The PERMA-Profiler is a multidimensional scale with good reliability and acceptable levels of convergent, divergent, and criterion-related validity. The PERMA-Profiler can help researchers and practitioners better gauge well-being in student veterans. Implications will be discussed.     

Adverse childhood experiences,post-traumatic stress disorder symptoms,and self-reported stress among traditional and nontraditional college students

Abstract

Objective: To investigate the relationships between adverse childhood experiences (ACEs), post-traumatic stress disorder symptoms (PTSD-S), and self-reported stress among college students. Participants: A total of 236 undergraduate students enrolled in nursing courses participated. Method: Using a correlational design, participants completed questionnaires online. To examine PTSD moderation between ACE and self-reported stress, multiple regression was employed. Stress outcomes were examined using a 4-group variable. Mean differences in stress response between these four groups were examined. Differences in ACE, PTSD-S, and stress response between traditional and nontraditional students were also examined. Results: PTSD-S moderated the relationship between ACEs, and self-reported stress. This indicates that students who report PTSD-S following childhood adversity perceive higher levels of stress. Nontraditional and traditional students differed in their responses to the ICLRE scale. Conclusion: Individuals who report PTSD-S following childhood adversity perceive higher levels of stress later in life. Stress reduction programs may be beneficial for students.     

Public Support for Sickle-Cell Disease Funding: Does Race Matter?

Despite the fact that sickle-cell disease (SCD) is perhaps the most “racialized” medical condition in the USA, very little is known about how “race” impacts public support for health policies related to the condition. We embedded an experiment within the 2011 Cooperative Congressional Election Study in order to assess perceptions about SCD among 1250 participants from diverse backgrounds and evaluate the extent to which these perceptions were associated with support for government spending on SCD-related benefits. We manipulated the racial phenotype of SCD advocates who requested additional government funding and asked participants to indicate how much the government should provide. Overall, participants expressed moderately positive attitudes about SCD, and there were no differences in funding support based on the race of the advocate. However, white participants supported less funding compared to nonwhite participants, even after adjusting for a number of demographic and attitudinal covariates. These findings suggest that a complex relationship between racial identification and implicit racism may shape public perceptions about SCD that negatively influences perceivers’ support for SCD-related policy.     

A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies

The paper proposes a joint mixture model to model non-ignorable drop-out in longitudinal cohort studies of mental health outcomes. The model combines a (non)-linear growth curve model for the time-dependent outcomes and a discrete-time survival model for the drop-out with random effects shared by the two sub-models. The mixture part of the model takes into account population heterogeneity by accounting for latent subgroups of the shared effects that may lead to different patterns for the growth and the drop-out tendency. A simulation study shows that the joint mixture model provides greater precision in estimating the average slope and covariance matrix of random effects. We illustrate its benefits with data from a longitudinal cohort study that characterizes depression symptoms over time yet is hindered by non-trivial participant drop-out.KEYWORDS: Latent growth curve, MNAR drop-out, survival analysis, finite mixture model, mental health     

Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes

Researchers in statistical shape analysis often analyze outlines of objects. Even though these contours are infinite-dimensional in theory, they must be discretized in practice. When discretizing, it is important to reduce the number of sampling points considerably to reduce computational costs, but to not use too few points so as to result in too much approximation error. Unfortunately, determining the minimum number of points needed to achieve sufficiently approximate the contours is computationally expensive. In this paper, we fit regression models to predict these lower bounds using characteristics of the contours that are computationally cheap as predictor variables. However, least squares regression is inadequate for this task because it treats overestimation and underestimation equally, but underestimation of lower bounds is far more serious. Instead, to fit the models, we use the LINEX loss function, which allows us to penalize underestimation at an exponential rate while penalizing overestimation only linearly. We present a novel approach to select the shape parameter of the loss function and tools for analyzing how well the model fits the data. Through validation methods, we show that the LINEX models work well for reducing the underestimation for the lower bounds.