scholarly journals Network analysis of psychological distress, posttraumatic stress and fear symptoms by COVID-19 in Peruvian adults

2021 ◽  
Vol 8 (2) ◽  
pp. 57-66
Author(s):  
Cristian Ramos-Vera ◽  
Antonio Serpa Barrientos
Keyword(s):  
Psychological Distress ◽  
Network Analysis ◽  
Posttraumatic Stress

scholarly journals Posttraumatic stress or posttraumatic growth? Using network analysis to explore the relationships between coping styles and trauma outcomes

2021 ◽  
Vol 78 ◽  
pp. 102359
Author(s):  
Jacqueline Peters ◽  
Benjamin W. Bellet ◽  
Payton J. Jones ◽  
Gwyneth W.Y. Wu ◽  
Li Wang ◽  
...  
Keyword(s):  
Network Analysis ◽  
Posttraumatic Growth ◽  
Posttraumatic Stress ◽  
Coping Styles ◽  
Trauma Outcomes

scholarly journals Killing in Combat; the Diverging Mental Health Impact on Distinct Veteran Populations – A Two-Sample Study

2020 ◽  
Author(s):  
Andreas Espetvedt Nordstrand ◽  
Christer Lunde Gjerstad ◽  
Odin Hjemdal ◽  
Are Holen ◽  
Tore Tveitstul ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Psychological Distress ◽  
Alcohol Use ◽  
Posttraumatic Stress ◽  
Armed Forces ◽  
Mental States ◽  
Two Samples ◽  
The Impact

This study examined the warzone stressors: killing in combat, experiencing personal threats, or traumatic witnessing during deployment in relation to psychological distress, alcohol consumption and quality of life at long-term follow-up. The study was conducted in two samples of Norwegian veterans who had served in Afghanistan (Study 1, N = 4,053) or in Lebanon (Study 2, N = 10,605), respectively. Data were collected through two postdeployment mental health surveys conducted by the Norwegian Armed Forces Joint Medical Services. Using linear regressions, we investigated the impact of warzone stressors on posttraumatic stress symptoms, depression, anxiety, insomnia, alcohol use, and quality of life. In study 1 (Afghanistan veterans), killing was not a significant predictor of psychological distress, alcohol use, or quality of life, when controlling for Personal Threats and Witnessing exposure. In study 2 (Lebanon veterans) killing remained a significant predictor (p < .001) of symptoms of posttraumatic stress, depression, and anxiety, after controlling for other warzone stressors. However, killing was not a significant predictor of alcohol use or quality of life in Study 2. In summary, killing in combat may be associated with increased reports of psychological distress, but there were distinct results in the two studies. Differences in mission statements, rules of engagement, and mental states during combat could explain the diverging outcomes. The results indicate that it may be erroneous to ubiquitously regard killing in combat as a moral stressor, and highlight the importance of clear rules of engagements that accounts for the “on the ground” reality of soldiers.

scholarly journals Psychometric Evaluation of the Swedish Version of the Prolonged Grief Disorder-13 (PG-13) in a Bereaved Mixed Trauma Sample

2020 ◽  
Vol 11 ◽  
Author(s):  
Josefin Sveen ◽  
Kristina Bondjers ◽  
Julia Heinsoo ◽  
Filip K. Arnberg
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Posttraumatic Stress ◽  
Factor Model ◽  
Traumatic Event ◽  
Latent Structure ◽  
Prolonged Grief ◽  
General Psychological Distress ◽  
Disability Level ◽  
Three Factor

Background: This study aimed to examine the psychometric properties of the Swedish PG-13 in a bereaved trauma exposed sample. A second aim was to examine the latent structure of prolonged grief using the PG-13.Methods: The participants were adults (n = 123) taking part in an ongoing longitudinal study regarding the effects of potentially traumatic events. Participants had experienced a potentially traumatic event in the past 5 years and had reported a death of a significant other either as their primary traumatic event or in addition to another traumatic event. Assessment included self-report of prolonged grief, posttraumatic stress, and general psychological distress. Clinical interviews were used to assess depression, posttraumatic stress disorder, and disability level. The psychometric properties of the Swedish PG-13 were examined through reliability tests and assessment of associations with symptoms of posttraumatic stress, depression, general psychological distress, and disability level. Principal component analysis (PCA) and confirmatory factor analyses (CFA) were used to assess the latent structure.Results: The internal consistency (Cronbach's α = 0.86) and test-retest (r = 0.86) reliability were good. PCA suggested a three-factor model as descriptive of the latent structure of the instrument. Therefore, the CFA used this model, as well as two models suggested in the literature. The three-factor model had the best fit to data. Support of concurrent validity of PG-13 was shown by moderate positive associations with measures of posttraumatic stress, depression, and general psychological distress.Conclusions: The Swedish PG-13 demonstrated good psychometric properties, and its use in research and practice to assess prolonged grief was supported. The factor analyses provided stronger support for models with two or three factors, as compared with a unidimensional model of prolonged grief, with the three-factor model having the best fit.

scholarly journals Network Analysis of Mindfulness Facets, Affect, Compassion, and Distress

Mindfulness ◽  
2020 ◽  
Author(s):  
Oleg N. Medvedev ◽  
Matti Cervin ◽  
Barbara Barcaccia ◽  
Richard J. Siegert ◽  
Anja Roemer ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Network Analysis ◽  
Negative Affect ◽  
Positive Affect ◽  
Experimental Studies ◽  
Well Being ◽  
Anxiety And Depression ◽  
Acting With Awareness ◽  
Mindfulness Facets ◽  
Internal Experience

Abstract Objectives Mindfulness, positive affect, and compassion may protect against psychological distress but there is lack of understanding about the ways in which these factors are linked to mental health. Network analysis is a statistical method used to investigate complex associations among constructs in a single network and is particularly suitable for this purpose. The aim of this study was to explore how mindfulness facets, affect, and compassion were linked to psychological distress using network analysis. Methods The sample (n = 400) included equal numbers from general and student populations who completed measures of five mindfulness facets, compassion, positive and negative affect, depression, anxiety, and stress. Network analysis was used to explore the direct associations between these variables. Results Compassion was directly related to positive affect, which in turn was strongly and inversely related to depression and positively related to the observing and describing facets of mindfulness. The non-judgment facet of mindfulness was strongly and inversely related to negative affect, anxiety, and depression, while non-reactivity and acting with awareness were inversely associated with stress and anxiety, respectively. Strong associations were found between all distress variables. Conclusions The present network analysis highlights the strong link between compassion and positive affect and suggests that observing and describing the world through the lens of compassion may enhance resilience to depression. Taking a non-judging and non-reacting stance toward internal experience while acting with awareness may protect against psychological distress. Applicability of these findings can be examined in experimental studies aiming to prevent distress and enhance psychological well-being.

Examining unique and prospective relationships among self-injurious thoughts and behaviors and posttraumatic stress disorder: a network analysis in two trauma-exposed samples

2020 ◽  
pp. 1-11
Author(s):  
Elizabeth G. Spitzer ◽  
Natasha Benfer ◽  
Kelly L. Zuromski ◽  
Brian P. Marx ◽  
Tracy K. Witte
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Network Analysis ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Risky Behaviors ◽  
Ptsd Symptoms ◽  
Cross Sectional ◽  
Negative Beliefs ◽  
Two Samples ◽  
And Behaviors

Abstract Background As self-injurious thoughts and behaviors (SITB) remain a pressing public health concern, research continues to focus on risk factors, such as posttraumatic stress disorder (PTSD). Network analysis provides a novel approach to examining the PTSD-SITB relationship. This study utilized the network approach to elucidate how individual PTSD symptoms may drive and maintain SITB. Methods We estimated cross-sectional networks in two samples of trauma-exposed adults (Sample 1: N = 349 adults; Sample 2: N = 1307 Veterans) to identify PTSD symptoms that may act as bridges to SITB. Additionally, we conducted a cross-lagged panel network in Sample 2 to further clarify the temporal relationship between PTSD symptoms and SITB during a 2-year follow-up. Finally, in both samples, we conducted logistic regressions to examine the utility of PTSD symptoms in prospectively predicting SITB, over a 15-day period (Sample 1) and over a 2-year period (Sample 2), allowing us to examine both short- and long-term prediction. Results Two PTSD symptoms (i.e. negative beliefs and risky behaviors) emerged as highly influential on SITB in both cross-sectional networks. In the cross-lagged panel network, distorted blame emerged as highly influential on SITB over time. Finally, risky behaviors, unwanted memories, and psychological distress served as the strongest predictors of SITB across the two samples. Conclusions Overall, our results suggest that treatments targeting negative beliefs and risky behaviors may prevent SITB in community and Veteran populations, whereas treatments targeting distorted blame and unwanted memories may help reduce SITB for individuals with a history of combat trauma.

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