Coping styles can be improved by dyadic palliative care interventions and may alleviate patients’ and family caregivers’ distress. Moreover, family caregivers’ preloss resilience protects against depression after bereavement. This study aimed to determine the types of coping styles can be encouraged to increase resilience.

A self-reported questionnaire survey was administered to family caregivers at the 4 palliative care units, and their resilience was assessed using the Connor–Davidson Resilience Scale (CD-RISC) and their coping styles were assessed using the Brief Coping Orientation to Problem Experienced, as well as their background characteristics.

Among 291 caregivers with a mean CD-RISC score of 56.2 (standard deviation: 16.13), internal locus of control, educational level, and history of psychotropic drug use were associated with resilience. After adjusting for the aforementioned factors, more frequent use of positive coping styles such as active coping (Spearman’s ρ = 0.29), acceptance (ρ = 0.29), positive reframing (ρ = 0.29), planning (ρ = 0.24), and humor (ρ = 0.18), was found to be associated with higher resilience. On the contrary, more frequent use of negative coping styles such as behavioral disengagement (ρ = −0.38), self-blame (ρ = −0.27), and denial (ρ = −0.14) was found to be associated with less resilience.

By assessing internal locus of control, educational level, and history of psychotropic medication use of family caregivers, as factors associated with their respective resilience, may help identify less resilient family caregivers who are at risk for developing major depression after bereavement. In addition, coping skill-based educational interventions targeting patients and their family caregivers that focus on specific coping styles associated with resilience may increase family caregivers’ resilience, resulting in less emotional distress and a lower risk of major depression after bereavement.

Although both psychological resilience and social support are widely believed to be effective in alleviating post-traumatic psychiatric symptoms in individuals with traumatic events, there has been a lack of comparative analysis of their intervention effects on different post-traumatic psychiatric symptoms. Furthermore, previous studies have mostly failed to control for potential confounding effects caused by different traumatic events.

We used the novel network analysis approach to examine the differential moderating effects of psychological resilience and social support on post-traumatic psychiatric symptoms, controlling for the confounding effects of traumatic events.

We recruited 264 front-line rescuers who experienced the same traumatic event. Quantified edge weights and bridge expected influence (BEI) were applied to compare the alleviating effects of psychological resilience and social support.

Our study revealed distinct correlations in a sample of front-line rescuers: social support negatively correlates more with psychosomatic symptoms, notably fatigue in depressive networks and sleep disturbance in post-traumatic stress disorder (PTSD) networks, whereas psychological resilience shows fewer such correlations. Quantitative analysis using BEI indicated that psychological resilience more effectively suppresses depressive and anxiety symptom networks, whereas social support more significantly inhibits PTSD symptom networks.

The current study represents the first attempt to examine the differential effects of psychological resilience and social support on post-traumatic outcomes in real-world emergency rescuers, controlling for the confounding effect of traumatic events. Our results can act as the theoretical reference for future precise and efficient post-trauma psychological interventions.

The study aimed to determine health anxiety and psychological resilience and to investigate the relationship between health anxiety and psychological resilience among nursing students in the last period of the coronavirus disease (COVID-19) pandemic.

This cross-sectional and descriptive study was conducted with 507 students in Turkey. The questionnaires used in the study were a student nurse information form, the Health Anxiety Inventory, and the Resilience Scale for Adults.

The mean age of the students was 20.70 ± 1.77 years. The health anxiety mean score was 36.19 ± 6.55, and the resilience scale mean score was 117.13 ± 16.00. There was a weak negative correlation between the students’ psychological resilience and their health anxiety (r = −0.207, P < 0.001).

Having an extended family and having good relationships with family and friends were the predictors of psychological resilience. Social support and psychological care services under a biopsychosocial model by the management of university or faculty should be implemented for university students in order to preserve their resilience and well-being, to cope with the pandemic.

Nursing students often encounter real-life trauma situations during their clinical experience and similar workplace environment and climate as professional nurses. This research was carried out to determine the reflections of the compassion fatigue levels of nursing final year students on their psychological resilience levels.

This research was conducted as descriptive and cross-sectional. The sample of the study consists of 250 final year nursing students. Data were collected using Personal Information Form, Compassion Fatigue Scale, and Resilience Scale. It was determined that the compassion fatigue and psychological resilience levels of nursing final year students were moderate.

It was determined that as the levels of compassion fatigue increased, psychological resilience decreased. A highly negative and significant correlation was found between the total and sub-dimension mean scores of compassion fatigue and psychological resilience (p = 0.001).

It was found that there was a negative and high level relationship between nursing students’ compassion fatigue levels and all its sub-dimensions and psychological resilience. Resilience can improve psychosocial functioning and professional performance, including for nursing students facing stressful clinical experiences. It is important to determine the compassion fatigue and psychological resilience levels of nursing students, to determine the existing problems, and to take initiatives for this.

Studies indicated that breast cancer cause alexithymia that having adverse effect on resilience. Recognizing and expressing emotions are very crucial to cope with the difficulties.

This study aimed to examine the role of alexithymia on psychological resilience and related variables in women with breast cancer.

In this descriptive study, 70 women with breast cancer who apply to a medical oncology outpatient between June 2019-February 2020 were included. 9-questions questionnaire was used to determine the sociodemographic and cancer related characteristics of the participants. The Multidimensional Scale of Perceived Social Support (MSPSS), Toronto Alexithymia Scale (TAS-20), Psychological Resilience Scale (PRS) were used to determine perceived social support, alexithymia and psychological resilience levels. Descriptive statistics, correlations, ANOVA and t-test were used for data analysis.

The MSPSS (20.07 ± 10.54) and TAS-20 were found low (47.71 ± 11.96) and PRS were high (132.24 ± 16.47). A negative, weak, significant relationship was found between the alexithymia (r=-0.370, p=0.02) and perceived social support (r=-0.496, p=0.01) with psychological resilience. There was no significant difference between the psychological resilience and age, education level, marital status, having children, profession, employment status, duration of illness, type of treatment, having metastases, and becoming caregiver (p> 0.05).

The psychological resilience of women with breast cancer was negatively related to their alexithymia and perceived social support levels. It indicates that being able to recognize the emotions and having social support systems would positively affect the recovery process.

No significant relationships.

This study reports on the changes in stress, anxiety, and depressive symptoms of subscribers after 3 months using Text4Hope, a supportive text messaging program designed to provide support during the pandemic.

Standardized self-report measures were used to evaluate perceived stress (measured with the Perceived Stress Scale-10 [PSS-10]), anxiety (measured with the General Anxiety Disorder Scale 7 [GAD-7]), and depressive symptoms (measured with the Patient Health Questionnaire [PHQ-9]), at baseline and 3rd month (n = 373).

After 3 months of using Text4Hope, subscribers’ self-reports revealed significant (p< 0.001) mean score reductions compared with baseline on: the GAD-7 by 22.7%, PHQ-9 by 10.3%, and PSS-10 scores by 5.7%. Reductions in inferred prevalence rates for moderate to high symptoms were also observed, with anxiety demonstrating the largest reduction (15.7%).

Observed Text4Hope-related reductions in psychological distress during COVID-19 indicate that Text4Hope is an effective, convenient, and accessible means of implementing a population-level psychological intervention.

Unit cohesion may protect service member mental health by mitigating effects of combat exposure; however, questions remain about the origins of potential stress-buffering effects. We examined buffering effects associated with two forms of unit cohesion (peer-oriented horizontal cohesion and subordinate-leader vertical cohesion) defined as either individual-level or aggregated unit-level variables.

Longitudinal survey data from US Army soldiers who deployed to Afghanistan in 2012 were analyzed using mixed-effects regression. Models evaluated individual- and unit-level interaction effects of combat exposure and cohesion during deployment on symptoms of post-traumatic stress disorder (PTSD), depression, and suicidal ideation reported at 3 months post-deployment (model n's = 6684 to 6826). Given the small effective sample size (k = 89), the significance of unit-level interactions was evaluated at a 90% confidence level.

At the individual-level, buffering effects of horizontal cohesion were found for PTSD symptoms [B = −0.11, 95% CI (−0.18 to −0.04), p < 0.01] and depressive symptoms [B = −0.06, 95% CI (−0.10 to −0.01), p < 0.05]; while a buffering effect of vertical cohesion was observed for PTSD symptoms only [B = −0.03, 95% CI (−0.06 to −0.0001), p < 0.05]. At the unit-level, buffering effects of horizontal (but not vertical) cohesion were observed for PTSD symptoms [B = −0.91, 90% CI (−1.70 to −0.11), p = 0.06], depressive symptoms [B = −0.83, 90% CI (−1.24 to −0.41), p < 0.01], and suicidal ideation [B = −0.32, 90% CI (−0.62 to −0.01), p = 0.08].

Policies and interventions that enhance horizontal cohesion may protect combat-exposed units against post-deployment mental health problems. Efforts to support individual soldiers who report low levels of horizontal or vertical cohesion may also yield mental health benefits.

Psychological resilience – positive psychological adaptation in the context of adversity – is defined and measured in multiple ways across disciplines. However, little is known about whether definitions capture the same underlying construct and/or share similar correlates. This study examined the congruence of different resilience measures and associations with sociodemographic factors and body mass index (BMI), a key health indicator.

In a cross-sectional sample of 1429 African American adults exposed to child maltreatment, we derived four resilience measures: a self-report scale assessing resiliency (perceived trait resilience); a binary variable defining resilience as low depression and posttraumatic stress (absence of distress); a binary variable defining resilience as low distress and high positive affect (absence of distress plus positive functioning); and a continuous variable reflecting individuals' deviation from distress levels predicted by maltreatment severity (relative resilience). Associations between resilience measures, sociodemographic factors, and BMI were assessed using correlations and regressions.

Resilience measures were weakly-to-moderately correlated (0.27–0.69), though similarly patterned across sociodemographic factors. Women showed higher relative resilience, but lower perceived trait resilience than men. Only measures incorporating positive affect or resiliency perceptions were associated with BMI: individuals classified as resilient by absence of distress plus positive functioning had lower BMI than non-resilient (β = −2.10, p = 0.026), as did those with higher perceived trait resilience (β = −0.63, p = 0.046).

Relatively low congruence between resilience measures suggests studies will yield divergent findings about predictors, prevalence, and consequences of resilience. Efforts to clearly define resilience are needed to better understand resilience and inform intervention and prevention efforts.

Suicide is a leading cause of premature death in people with a diagnosis of schizophrenia. Although exposure to stressors can play a part in the pathways to death by suicide, there is evidence that some people with a diagnosis of schizophrenia can be resilient to the impact of suicide triggers.

To investigate factors that contribute to psychological resilience to suicidal thoughts and behaviours from the perspectives of people with a diagnosis of schizophrenia.

A qualitative design was used, involving semi-structured, face-to-face interviews. Twenty individuals with non-affective psychosis or schizophrenia diagnoses who had experience of suicide thoughts and behaviours participated in the study. The interviews were audio-recorded, transcribed verbatim and examined using inductive thematic analysis.

Participants reported that psychological resilience to suicidal thoughts and behaviours involved ongoing effort. This ongoing effort encompassed: (a) understanding experiences (including reconciliation to mental health experiences and seeking reasons to live), (b) active behaviours (including talking to people and keeping occupied), and (c) relationship dynamics (including feeling supported by significant others and mental health professionals).

Psychological resilience was described as a dynamic process that developed over time through the experiences of psychosis and the concomitant suicidal experiences. Psychological resilience can be understood using a multicomponential, dynamic approach that integrates buffering, recovery and maintenance resilience models. In order to nurture psychological resilience, interventions should focus on supporting the understanding and management of psychosis symptoms and concomitant suicidal experiences.

None.

This study examined the role of community resilience and psychological resilience on depressive symptoms in areas on the Mississippi Gulf Coast that have experienced multiple disasters.

Survey administration took place in the spring of 2015 to a spatially stratified, random sample of households. This analysis included a total of 294 subjects who lived in 1 of the 3 counties of the Mississippi Gulf Coast at the time of both Hurricane Katrina in 2005 and the Deepwater Horizon oil spill in 2010. The survey included the Communities Advancing Resilience Toolkit (CART) scale, the Connor-Davidson Resilience Scale (CD-RISC 10), and the Center for Epidemiologic Studies Depression Scale (CES-D).

There was a significant inverse relationship between psychological resilience and depressive symptoms and a significant positive relationship between community resilience and psychological resilience. The results also revealed that community resilience was indirectly related to depressive symptoms through the mediating variable of psychological resilience.

These findings highlight the importance of psychological resilience in long-term disaster recovery and imply that long-term recovery efforts should address factors associated with both psychological and community resilience to improve mental health outcomes. (Disaster Med Public Health Preparedness. 2018;12:241–248)

To demonstrate a spatial epidemiologic approach that could be used in the aftermath of disasters to (1) detect spatial clusters and (2) explore geographic heterogeneity in predictors for mental health and general wellness.

We used a cohort study of Hurricane Ike survivors (n=508) to assess the spatial distribution of postdisaster mental health wellness (most likely resilience trajectory for posttraumatic stress symptoms [PTSS] and depression) and general wellness (most likely resilience trajectory for PTSS, depression, functional impairment, and days of poor health) in Galveston, Texas. We applied the spatial scan statistic (SaTScan) and geographically weighted regression.

We found spatial clusters of high likelihood wellness in areas north of Texas City and spatial concentrations of low likelihood wellness in Galveston Island. Geographic variation was found in predictors of wellness, showing increasing associations with both forms of wellness the closer respondents were located to Galveston City in Galveston Island.

Predictors for postdisaster wellness may manifest differently across geographic space with concentrations of lower likelihood wellness and increased associations with predictors in areas of higher exposure. Our approach could be used to inform geographically targeted interventions to promote mental health and general wellness in disaster-affected communities. (Disaster Med Public Health Preparedness. 2016;10:261–273)