Emotional avoidance and social support interact to predict depression symptom severity one year after traumatic exposure

Impacts of workplace verbal aggression classified via text mining on workers' mental health

BACKGROUND

Exposure to workplace aggression adversely affects workers' health; however, little is known regarding the impact of specific types of verbal content.

AIMS

We aimed to examine the relationship between exposure to several types of aggressive words at work and the victim's depressive symptoms and sleep disturbance using text mining.

METHODS

We conducted a longitudinal survey with 800 workers in wholesale and retail companies; of which, 500 responded to the follow-up survey. The Centre for Epidemiologic Studies-Depression Scale and Pittsburgh Sleep Quality Index were filled out by the participants, and their responses were analysed by logistic regression to evaluate the risk of depression or sleep problems. We collected exact aggressive words encountered at work over the past year as a dependent variable and classified it into four types using text mining, such as words criticizing one's performance.

RESULTS

The follow-up rate was 63%. Exposure to words threatening one's life showed a significant relationship with the risk of depression (odds ratio [OR] = 13.94, 95% confidence interval [CI] = 1.76-110.56). The exposure to words criticizing one's job performance is significantly related to the risk of sleep disturbance (OR = 5.56, 95% CI = 2.08-14.88).

CONCLUSIONS

These findings suggest that different contents of verbal aggression can have different impacts on workers' health. This indicates that not only overtly threatening and abusive language but also words related to one's performance can be a risk factor for workers, depending on how they are delivered. To mitigate the adverse effects, promoting effective communication and cultivating psychological detachment from work may be beneficial.

Positive relations mediate the bidirectional connections between depression and anxiety symptoms

INTRODUCTION

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) co-occur at high rates, often preceding and predicting one another over long durations. Interpersonal theories propose that relationships with others may contribute to the longitudinal connections between MDD and GAD. Therefore, the current study examined the mediational effect of positive relations with others in these connections over 18 years.

METHODS

Community-dwelling adults (n = 3294) participated in data collection at three time-points (Time 1 [T1], Time 2 [T2], and Time 3 [T3]) spaced about nine years apart. MDD and GAD symptoms were assessed using the Composite International Diagnostic Interview-Short Form. Positive relations was measured with the Psychological Well-Being Scale-Positive Relations with Others subscale. Structural equation mediation modeling was used for data analysis.

RESULTS

Results indicated that lower T2 positive relations significantly mediated the relationship between higher T1 MDD severity predicting more severe T3 GAD symptoms (d = 0.375) and explained 10.7% of the variance. T2 positive relations also had a significant mediational effect in the association between T1 GAD symptoms positively predicting T3 MDD severity (d = 0.360), accounting for 12.2% of the variance of this connection. These mediational effects were significant after adjusting for age, gender, education, and T1 symptoms (d = 0.277-0.677).

CONCLUSIONS

Supporting interpersonal theories, lack of positive relations with others mediated the bidirectional connections between MDD and GAD symptoms across 18 years. Future research should continue to explore the influence of positive relations on mental health and whether treatments that enhance interpersonal functioning could improve treatment for depression and anxiety.

Six-year changes of posttraumatic stress symptoms and depressive symptoms among Chinese earthquake survivors: A network analysis

BACKGROUND

The risk factors of Posttraumatic Stress Symptoms (PTSS) and depressive symptoms have been well-established, but whether the network structure of their symptoms changes over time remains unclear. This study aims to examine the six-year changes of network structure of PTSS and depressive symptoms among Wenchuan earthquake adult survivors in China.

METHODS

In this pooled cross-sectional study, respondents were sampled from the same population at each of the five waves (N = 1343, 1205, 1177, 1376, and 1339). The network structure of them was investigated using network analyses.

RESULTS

The study shows network connections stable across waves were the positive connections between hyperarousal and intrusions, hyperarousal and somatic symptoms, and two dimensions of positive effects. Stable negative connections were those between depressed affects and positive effects, avoidance and depressed affects, avoidance with interpersonal symptoms and avoidance with somatic symptoms. Across waves, fearful emotion consistently was the strongest bridge symptom connecting with PTSS symptoms. However, for PTSS the strongest bridge symptom varied across time as it was avoidance in wave 1 but were hyperarousal in other four waves.

LIMITATIONS

This study was based on a pooled cross-sectional survey, which inhibits conclusions regarding causal influences between symptoms at the individual patient level.

CONCLUSIONS

The network structure of PTSS and depressive symptoms was partly stable, yet also varied across survey waves. Core symptom clusters for PTSS and depressive symptoms were avoidance and depressed affect, respectively. The central role of these clusters in PTSS and depressive symptoms has important implications to future psychiatric programs.

Indirect Associations Between Posttraumatic Stress Symptoms and Other Psychiatric Symptoms, Alcohol Use, and Well-being via Psychological Flexibility Among Police Officers

Police officers experience a high number of potentially traumatic events (PTEs) often associated with elevated posttraumatic stress symptoms (PTSS). In addition, PTSS are related to co-occurring psychiatric symptoms (e.g., anxiety, depression), alcohol misuse, and low perceived well-being. Yet, behavioral processes that may account for the associations between PTSS and unfavorable outcomes remain unspecified. Psychological flexibility, or one's response to private experiences (e.g., PTE-related memories) with an open, aware, and active approach, may be one such process. The present study aimed to evaluate psychological flexibility as both a mediator and moderator of PTSS and commonly co-occurring psychiatric symptoms, alcohol use, and general well-being, using cross-sectional data provided by a sample of police officers (N = 459) recruited from three regionally distributed U.S. police agencies. Structural equation modeling indicated a well-fitting model wherein psychological flexibility indirectly accounted for associations among PTSS and endogenous outcomes, χ² (107, N = 457) = 225.33, p < .001, CFI = .99, TLI = .98, RMSEA = .05, 90% CI [.04, .06], SRMR = .03. Psychological flexibility also moderated associations between PTSS and psychiatric symptoms, B = 1.58 (SE = 0.22), p < .001; and well-being, B = -3.84 (SE = 0.46), p < .001. Although additional research is needed, these preliminary results suggest psychological flexibility may be a behavioral process that accounts for negative outcomes associated with PTSS and a productive intervention target in the context of PTSS and generalized distress. Further research regarding the role of psychological flexibility in PTSS-related outcomes for police officers appears warranted.

The prevalence of suicidal behavior and its associated factors among wives with polygamy marriage living in Gedeo zone, southern Ethiopia, 2020

INTRODUCTION

Polygamy is a trend of marriage characterized by having two and more wives or husbands at the same time. In low and middle-income countries including Ethiopia, polygamy has a significant negative effect on the social, economic, physical, and mental well-being of women. Therefore, this study aimed to assess the prevalence and associated factors of suicidal behavior among wives with polygamy marriage living in the Gedeo zone, Southern Ethiopia, 2020.

METHODS

A community-based study employing cross-sectional design and systematic sampling technique was used to select wives with polygamy marriage who are residents of Gedeo Zone from November to December 2020. The World Health Organization Suicidal Behavior Questions (SBQ-5) was adapted to explore the outcome variable. The Logistic regression at 95% CI, p<0.05 was used to identify factors associated with suicidal behavior.

RESULTS

This study enrolled 423 respondents. The study revealed that, the overall prevalence of suicidal behavior was 157(37%). Illiteracy, being a wife of a husband with three and more other wives, current history of depression, intimate partner violence, and poor social support were significantly associated with suicidal behavior at 95% confidence interval, p < 0.05.

CONCLUSION

This study found that one-third of the respondents had suicidal behavior. Different significant socio-demographic and psychosocial variables were identified. Thus, due attention should be given to minimize the practice and its effect on the mental wellbeing of a mother and their children.

Depression in post-traumatic stress disorder

Major depressive disorder (MDD) symptoms commonly occur after trauma-exposure, both alone and in combination with post-traumatic stress disorder (PTSD). This article reviews recent research on comorbidity between these disorders, including its implications for symptom severity and response to treatment. Despite considerable symptom overlap, the two disorders represent distinct constructs and depend, at least in part, on separate biological mechanisms. Both, however, are also clearly related to stress psychopathology. We recommend that more research focus specifically on the study of individual differences in symptom expression in order to identify distinct subgroups of individuals and develop targeted treatments. However, a barrier to this line of inquiry is the trend of excluding particular patients from clinical trials of new interventions based on symptom severity or comorbidity. Another obstacle is the overreliance on self-report measures in human research. We argue that developing computer-based behavioral measures in order to supplement self-report can help address this challenge. Furthermore, we propose that these measures can help tie findings from human and non-human animal research. A number of paradigms have been used to model MDD-and PTSD-like behavior in animals. These models remain valuable for understanding the biological basis of these disorders in humans and for identifying potential interventions, but they have been underused for the study of comorbidity. Although the interpretation of animal behavior remains a concern, we propose that this can also be overcome through the development of close human analogs to animal paradigms.

Fear of pain as a predictor of concurrent and downstream PTSD symptoms

BACKGROUND

Pain anxiety has been associated with more severe posttraumatic stress disorder (PTSD) symptoms. However, the unique role of individual domains of pain anxiety has yet to be explored in the prediction of PTSD severity. This study examined whether specific pain anxiety domains (i.e., cognitive anxiety, escape/avoidance, fear of pain, and physiological anxiety) predict both concurrent and downstream PTSD symptoms above and beyond other PTSD risk factors.

METHOD

Participants were 63 survivors of traumatic events with moderate to high baseline pain treated in the emergency department and assessed for PTSD symptoms and pain anxiety at 3- and 12-months.

RESULTS

Three-month pain anxiety domains of fear of pain and physiological anxiety (inversely related) significantly predicted concurrent 3-month PTSD symptoms above and beyond other established PTSD risk factors (i.e., sex, age, pain, and trauma type). However, only 3-month fear of pain significantly predicted 12-month PTSD symptoms.

CONCLUSIONS

Findings highlight the relevance of specific pain anxiety domains in concurrent and future PTSD symptoms and suggest the importance of evaluating pain anxiety among patients with PTSD. Interventions focused on increasing willingness to experience and tolerate fear of pain may help mitigate this risk, thereby improving outcomes for individuals with acute PTSD symptoms.

Maternal Mental Health after a Wildfire: Effects of Social Support in the Fort McMurray Wood Buffalo Study

OBJECTIVE

Following disasters, perinatal women are vulnerable to developing post-traumatic stress disorder (PTSD)-like symptoms. Little is known about protective factors. We hypothesized that peritraumatic stress would predict PTSD-like symptoms in pregnant and postpartum women and would be moderated by social support and resilience.

METHOD

Women (n = 200) who experienced the 2016 Fort McMurray Wood Buffalo wildfire during or shortly before pregnancy completed the Peritraumatic Distress Inventory (PDI), Peritraumatic Dissociative Experiences Questionnaire, and the Impact of Event Scale-Revised for current PTSD-like symptoms. They also completed scales of social support (Social Support Questionnaire-Short Form) and resilience (Connor-Davidson Resilience Scale).

RESULTS

Greater peritraumatic distress (r = 0.56) and dissociative experiences (r = 0.56) correlated with more severe PTSD-like symptoms. Greater social support satisfaction was associated with less severe post-traumatic stress symptoms but only when peritraumatic distress was below average; at more severe levels of PDI, this psychosocial variable was not protective.

CONCLUSIONS

Maternal PTSD-like symptoms after a wildfire depend on peritraumatic distress and dissociation. Higher social support satisfaction buffers the association with peritraumatic distress, although not when peritraumatic reactions are severe. Early psychosocial interventions may protect perinatal women from PTSD-like symptoms after a wildfire.

Using the PRAPARE Tool to Examine Those Tested and Testing Positive for COVID-19 at a Community Health Center

The PRAPARE (Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences) tool is an instrument that has been used to assess social determinants of health within community health centers in the US. We sought to examine the association between PRAPARE scores and getting tested for and testing positive with the SARS-CoV-2 virus. We used medical record data collected from a community health center in the US between March-August 2020. Employing logistic regression analyzes, we explored the association between demographic factors, history of screening positive for depression, and PRAPARE scores and patients' odds of getting tested and testing positive for COVID-19. While variables such as ethnicity mirrored similar findings from other sources, we found the PRAPARE score to be associated with increased odds of being tested for COVID-19; however, it was not significantly associated with testing positive. These findings can help health care workers and health educators craft messages to explain screening protocols for communicable diseases, such as COVID-19, to best reach vulnerable populations.

The Impact of COVID-19 on Mental Health: The Role of Locus on Control and Internet Use

The true extent of the mental health implications of the COVID-19 pandemic are unclear, but early evidence suggests poorer mental health among those exposed to the pandemic. The Internet may have differential effects, by both connecting people with resources, or reinforce the constant checking of negative information. Moreover, locus of control becomes important in an uncontrollable pandemic. The current study aimed to examine whether exposure to COVID-19 would relate to greater symptoms of depression, anxiety and stress, and to examine the role of internet use and locus of control. Adults in the United States and five European countries (N = 1723) answered an online survey through the website Mturk. Results show elevated psychological symptoms among those who have become infected with COVID-19 or perceive themselves to be at high risk if infected. Experience using the Internet relates to fewer symptoms, but information seeking is associated with more symptoms. Internet social capital relates to fewer symptoms of depression. Having an external locus of control relates to greater symptoms. These findings suggest that public health officials need to focus on the mental health effects of the pandemic, and that internet use and locus of control could be targets to improve mental health in the population.