Survey of Posttraumatic Stress Disorder (PTSD) With PTSD Checklist-Civilian (PCL-C) Questionnaire on Outpatients at Two Mental Health Clinics in New York City

Author(s):  
Baowu Wang Seeth Vivek
SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A267-A268
Author(s):  
April Rogers ◽  
Judite Blanc ◽  
Azizi Seixas ◽  
Joao Nunes ◽  
Georges Casimir ◽  
...  

Abstract Introduction An effective response to the COVID-19 pandemic has been the decision to subject individuals residing in New York City to quarantine rules in order to reduce the spread of the virus. As might have been expected, restriction of usual daily activities would affect individuals’ sleep-wake patterns. It is also known that exposure to traumatic experiences can also engender sleep disturbances, most notably in their ability to initiate sleep. This study investigated the associations between sleep onset latency (SOL), pre and peri-COVID-19 exposure and symptoms of posttraumatic stress disorder (PTSD) among New Yorkers. Methods 541 individuals (female = 373(69%); mean age=40.9) were recruited during the summer and fall of 2020 in New York City to participate in the NYU-COVID-19 Mental Health Study. Participants provided sociodemographic data and were also asked to respond to the COVID-19 quarantine experiences, comprised of seven binary questions, the PTSD Checklist-PCL-5, and the Pittsburg Sleep Quality Index. Descriptive and linear regression analysis were performed to explore associations of scores on the COVID-19 quarantine experience with PTSD and sleep data. All analyses were performed using SPSS 25.0 Results Regression analyses revealed that SOL emerged as the strongest independent predictor of PTSD symptoms [B(t) = −.630(12.7); p < .001]; factors adjusted in the model included pre and peri-covid-19 factors such as age, sex, job type, and quarantine experience. Analyses assessing potential interaction effect revealed that quarantine experience did not affect the relationship between SOL and PTSD [B(t) = .086(.831); p = >.005]. The other sleep factors in the model did not yield significance. sleep duration had a weak correlation with quarantine, it was not found to be a predictor of PTSD. Conclusion We observed that SOL was the most important determinant of PTSD symptoms among individuals exposed to COVID-19. This is consistent with other findings suggesting that a sizable proportion of individuals exposed to pandemics are likely to experience sleep disturbances. It is plausible that quarantine might lead to increased daytime naps, which may impact SOL. Further research is needed to better understand the association of SOL and PTSD as a result of Covid-19. Support (if any) K07AG052685, R01MD007716, R01HL142066, T32HL129953, K01HL135452, R01HL152453


2015 ◽  
Vol 105 (9) ◽  
pp. 1911-1916 ◽  
Author(s):  
Fatos Kaba ◽  
Angela Solimo ◽  
Jasmine Graves ◽  
Sarah Glowa-Kollisch ◽  
Allison Vise ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yaru Chen ◽  
Xin Huang ◽  
Chengyuan Zhang ◽  
Yuanyuan An ◽  
Yiming Liang ◽  
...  

Abstract Background Coronavirus disease 2019 (COVID-19) has affected more than 5 million people around the world and killed more than 300,000 people; thus, it has become a global public health emergency. Our objective was to investigate the mental health of hospitalized patients diagnosed with COVID-19. Methods The PTSD checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Trauma Exposure Scale, abbreviated version of the Connor–Davidson Resilience Scale (CD-RISC-10), Perceived Social Support Scale (PSSS) and Demographic Questionnaire were used to examine posttraumatic stress disorder (PTSD), depression, anxiety, trauma exposure, resilience and perceived social support among 898 patients who were hospitalized after being diagnosed with COVID-19 in China. The data were analyzed with t tests, one-way ANOVA and multivariable logistic regression analysis. Results The results showed that the prevalence of PTSD, depression and anxiety was 13.2, 21.0 and 16.4%, respectively. Hospitalized patients who were more impacted by negative news reports, had greater exposure to traumatic experiences, and had lower levels of perceived social support reported higher PTSD, depression and anxiety. Conclusions Effective professional mental health services should be designed to support the psychological wellbeing of hospitalized patients, especially those who have severe disease, are strongly affected by negative news and have high levels of exposure to trauma.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joviana Quintes Avanci ◽  
Fernanda Serpeloni ◽  
Thiago Pires de Oliveira ◽  
Simone Gonçalves de Assis

Abstract Background The frequency of trauma and different types of violence exposure in urban areas and their effects on the mental health of adolescents in developing countries are poorly investigated. Most information about traumatized young people comes from war scenarios or disasters. This study aimed to determine the prevalence of PTSD in trauma-exposed students in a low-resource city of the state of Rio de Janeiro, Brazil. The effects of sociodemographic and individual and family factors in the development of PTSD were also investigated. Methods Through multi-stage cluster sampling, 862 adolescents (Mage = 15 years old, 65% female) from public and private schools in the city of São Gonçalo were selected for the study. Self-rating structured questionnaires were applied to assess sociodemographic profile, exposure to physical and psychological violence (family, school, community), sexual abuse, social support, social functional impairment, resilience, and posttraumatic stress disorder. The data were grouped in blocks regarding sociodemographic, individual, family, and community variables. For statistical analysis, chi-square, Fisher’s exact test, and logistic regression were performed. Results The PTSD prevalence was 7.8% among adolescents. Boys were exposed to significantly higher number of events of community violence, while girls to family violence. The adjusted odds ratio (OR) for PTSD were statistically significant for age (OR, 1.45, [95% CI, 1.043–2.007]), social functional impairment (OR, 4.82, [95% CI, 1.77–13.10]), severe maternal physical violence (OR, 2.79, [95% CI, 0.79–9.93]), psychological violence by significant people (OR, 3.96, [95% CI, 1.89–8.31]) and a high number of episodes of community violence (OR, 3.52, [95% CI, 1.47–8.40). Conclusions There was a high prevalence of PTSD within this population associated with exposure to violence. Not only physical, but also psychological violence contributed to PTSD. The results also raise awareness to the differences in life trajectories between boys and girls regarding violence. These differences need to be better understood in order to enable the development of effective preventative interventions. Treating and preventing mental health disorders presents a challenge for countries, especially those with a lower degree of social and economic development and high community violence.


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