Adherence to immunosuppressant medication is critical to health and quality-of-life outcomes for children who have received a solid organ transplant. Research on the psychological and social predictors of medication adherence is essential to the advancement of pretransplant assessments and transplant psychosocial services. Despite the importance of identifying risk factors, the literature remains limited regarding psychosocial predictors of non-adherence. A systematic search was conducted to identify studies of the psychosocial predictors of post-transplant medication non-adherence in pediatric solid organ transplantation. From 1363 studies identified in searches of empirical literature, a final sample consisted of 54 publications representing 49 unique studies. Findings regarding psychosocial predictors were inconsistent with non-adherence associated largely with adolescence, racial/ethnic minority status, and presence of mental health issues. Familial predictors of non-adherence problems included single-parent households, lower socioeconomic status, lower family cohesion, presence of family conflict, and poor family communication. Several studies reported an association between non-adherence and social pressures (eg, peer social interaction, wanting to feel normal) among adolescent transplant recipients. While significant methodological and substantive gaps remain in this body of knowledge, this review synthesizes current evidence for assessment for transplant clinicians and researchers.

Key words coronavirus pandemic, COVID-19, I 3 model, perfect storm theory, suicide.In this commentary, we consider a convergence of suicide risk factors amid an international crisis and introduce a new approach in understanding and preventing suicidal behaviors. Our approach is a novel theoretical framework that can guide future research to include this added dimension.Suicide is a leading cause of death in the United States and Kentucky. In the United States, suicide rates have steadily risen over the past 2 decades by an estimated 30%. 1 Between 2005 and 2017 suicide was the second leading cause of death in ages 25-34 and the third in 10-to 24-year-olds. Suicide rates in the United States are consistently highest for white males between 25 and 34. 2 In Kentucky, suicide was the second leading cause of death in ages 15-34 and the third in 10-to 14-yearolds. 2 White males age 18-40, who used a firearm and lived in a rural Kentucky county, made up the group with the consistently highest suicide rate; 13% of this group were known to have ever served in the military. 3 Pre-cipitating suicide circumstances between 2005 and 2017 most often included depressed mood; mental health, intimate partner, and physical health problems; and substance misuse. 3

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Backgrounds: Perceptions of health are important to motivate people to change behaviors. Non-adherence to healthy behaviors that prevent cardiovascular disease may result from inadequate health perceptions. However, there are few studies investigating relationships between health perceptions and psychological states. Objective: To determine whether psychological states (ie, depressive symptoms and anxiety) are associated with the congruency between health perception and estimated risk for cardiovascular disease in adults with 2 or more cardiovascular disease risk factors. Methods: Community dwellers at risk for cardiovascular disease were asked to complete the Patient Health Questionnaire-9 and the anxiety subscale of the Brief Symptom Inventory to measure depressive symptoms and anxiety, respectively. Participants rated their perceived health from excellent to poor. The estimated cardiovascular disease risks were measured with the 10-year cardiovascular disease Framingham risk scores. Participants were grouped into three health perception groups based on congruency between levels of health perception and cardiovascular disease risk. Multivariate multinomial logistic regression was done to examine the association between psychological states and health perception groups. Results: Of 828 participants 54.7%, 12.0%, and 33.3% had congruent, pessimistically biased, and optimistically biased health perception, respectively. Depressive symptoms were significantly associated with pessimistic bias (adjusted odds ratio: 1.070, 95% confidence interval 1.010–1.133), but not anxiety. Optimistic bias was not associated with either depressive symptoms or anxiety. Conclusions: A mismatch between individual health perceptions and cardiovascular disease risks was associated with depressive symptoms. As health perception is affected by depressive symptoms, clinicians should assess depressive symptoms when exploring health perceptions and engaging individuals in decision-making about a healthy lifestyle.

Veterans with posttraumatic stress symptoms exhibit reduced heart rate variability characteristic of autonomic nervous system dysregulation. Studies show heart rate variability biofeedback (HRVB) is effective in reducing posttraumatic stress symptoms by improving autonomic functioning. Participants in this pilot study were veterans of different war eras with military-related posttraumatic stress symptoms. The study aims were to examine the impact of a single session HRVB intervention on posttraumatic stress symptoms and heart rate variability, test persistence of effects, and determine if veterans would find the intervention acceptable. One group (n = 6) received training in diaphragmatic breathing and heart rate variability biofeedback, augmented by twice-daily practice using a smart phone and breath pacing app. A second group (n = 6) received only a single session of diaphragmatic breathing training. After 4 weeks, participants in the second group (n = 5) received the full intervention. HRVB significantly reduced global posttraumatic stress symptoms, whereas diaphragmatic breathing alone did not. Further, veterans found the approach acceptable, as demonstrated by a high degree of adherence with prescribed practice, low study attrition, and continued use over time. Results of this pilot study warrant further refinement of a protocol utilizing mHealth to treat posttraumatic stress symptoms in military populations.