scholarly journals 712 COVID-19 Risk Perception, Sleep Health and Peritraumatic Distress Among New Yorkers: The NYU COVID-19 Mental Health Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A278-A278
Author(s):  
Judite Blanc ◽  
Azizi Seixas ◽  
Omonigho Bubu ◽  
Anthony Briggs ◽  
Alain Claude Compas ◽  
...  

Abstract Introduction Long-term exposure to pandemics like COVID-19 may increase psychological distress (e.g., peri-traumatic and post-traumatic distress) and sleep problems. Little is known about the effects of COVID-19 on peritraumatic distress, a well-documented risk factor for post-traumatic stress disorders (PTSD). The aim of this study was to investigate the association between COVID-19 risk perception and peritraumatic distress, and whether this relationship is moderated by sleep quality among individuals located in NY. Methods We examined data from 541 individuals (69% were female, mean age (SD) = 40.9 (15.3)] recruited online during summer and fall 2020 in New York for the NYU-COVID-19 Mental Health Study. Data were gathered on sociodemographic, COVID-19 risk perception (yes or no items), peri-traumatic distress measured by Peritraumatic Distress Inventory (PDI), and sleep quality measured by the Pittsburg Sleep Quality Index (PSQI). Descriptive, regression analysis and interaction terms were conducted using SPSS v. 25 to examine associations between COVID-19 risk perception with symptoms of peritraumatic distress and sleep quality. Results Of the 541 participants, 311(57.5%) reported they felt at risk for contracting COVID-19. PSQI was positively correlated with PDI (r =.38, p =0.01). An independent sample t student test indicated, on average, that the symptoms of PDI [(mean (SD)=27.3 (7.63), t = 7.07, n =307)] and PSQI [mean(SD)=10.62(3.57), t=4.31 n=311)] of our participants who felt at risk for contracting the COVID-19 significantly exceeded those who did not [(PDI mean(SD)=22.7(7.13), n =228); PSQI (mean(SD) =9.25(3.72), n=229]. Results of multiple linear regression analysis shown that COVID-19 risk perception was the strongest predictor of PDI [B(t) = −.630(12.7); p < .001]. Furthermore, the interaction effect of PSQI scores and COVID-19 risk perception revealed that sleep quality significantly reduced the association between COVID-19 risk perception and PDI [B(t) = .319(5.71); p <.001], such that poorer sleep and feeling at risk of contracting COVID-19 resulted in more severe PDI scores. Conclusion COVID-19 risk perception was associated with peritraumatic distress and poorer sleep quality, and sleep quality attenuated this relationship. Support (if any) NIH (T32HL129953, K07AG052685, R01MD007716, R01HL142066, K01HL135452, R01HL152453)

2018 ◽  
Vol 269 ◽  
pp. 244-250 ◽  
Author(s):  
Karine Alexandra Del Rio João ◽  
Saul Neves de Jesus ◽  
Cláudia Carmo ◽  
Patrícia Pinto

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
T. Dolev ◽  
S. Zubedat ◽  
Z. Brand ◽  
B. Bloch ◽  
E. Mader ◽  
...  

AbstractLack of established knowledge and treatment strategies, and change in work environment, may altogether critically affect the mental health and functioning of physicians treating COVID-19 patients. Thus, we examined whether treating COVID-19 patients affect the physicians’ mental health differently compared with physicians treating non-COVID-19 patients. In this cohort study, an association was blindly computed between physiologically measured anxiety and attention vigilance (collected from 1 May 2014 to 31 May 31 2016) and self-reports of anxiety, mental health aspects, and sleep quality (collected from 20 April to 30 June 2020, and analyzed from 1 July to 1 September 2020), of 91 physicians treating COVID-19 or non-COVID-19 patients. As a priori hypothesized, physicians treating COVID-19 patients showed a relative elevation in both physiological measures of anxiety (95% CI: 2317.69–2453.44 versus 1982.32–2068.46; P < 0.001) and attention vigilance (95% CI: 29.85–34.97 versus 22.84–26.61; P < 0.001), compared with their colleagues treating non-COVID-19 patients. At least 3 months into the pandemic, physicians treating COVID-19 patients reported high anxiety and low quality of sleep. Machine learning showed clustering to the COVID-19 and non-COVID-19 subgroups with a high correlation mainly between physiological and self-reported anxiety, and between physiologically measured anxiety and sleep duration. To conclude, the pattern of attention vigilance, heightened anxiety, and reduced sleep quality findings point the need for mental intervention aimed at those physicians susceptible to develop post-traumatic stress symptoms, owing to the consequences of fighting at the forefront of the COVID-19 pandemic.


Author(s):  
Kundadak Ganesh Kudva ◽  
Edimansyah Abdin ◽  
Janhavi Ajit Vaingankar ◽  
Boon Yiang Chua ◽  
Saleha Shafie ◽  
...  

Suicidality encompasses suicidal ideation, plans, and attempts. This paper aims to establish associations between suicidality and sociodemographic variables, physical disorders, and psychiatric disorders. The Singapore Mental Health Study 2016 was a population-level epidemiological survey, which determined the prevalence of physical disorders, psychiatric disorders, and suicidality. Questionnaires were used to determine socio-demographic information. A total of 6216 respondents were interviewed. Lifetime prevalence of suicidal ideation, planning, and attempts were 7.8%, 1.6%, and 1.6%, respectively. All components of suicidality were more likely in those with major depressive disorder, bipolar disorder, generalized anxiety disorder, alcohol use disorder, and chronic pain. Suicidal ideation and attempts were more likely in those with diabetes. Age above 65, being male, and a monthly household income of ≥ SGD 10,000 were associated with a lower likelihood of suicidal ideation. These findings indicate that there are high-risk groups for whom suicidality is a concern, and for whom interventions may be needed.


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 &lt; .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 = &gt;.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


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah De Pue ◽  
Céline Gillebert ◽  
Eva Dierckx ◽  
Marie-Anne Vanderhasselt ◽  
Rudi De Raedt ◽  
...  

AbstractCOVID-19 took a heavy toll on older adults. In Belgium, by the end of August, 93% of deaths due to COVID-19 were aged 65 or older. Similar trends were observed in other countries. As a consequence, older adults were identified as a group at risk, and strict governmental restrictions were imposed on them. This has caused concerns about their mental health. Using an online survey, this study established the impact of the COVID-19 pandemic on adults aged 65 years or older, and which factors moderate this impact. Participants reported a significant decrease in activity level, sleep quality and wellbeing during the COVID-19 pandemic. Depression was strongly related to reported declines in activity level, sleep quality, wellbeing and cognitive functioning. Our study shows that the COVID-19 pandemic had a severe impact on the mental health of older adults. This implies that this group at risk requires attention of governments and healthcare.


2014 ◽  
Vol 36 (4) ◽  
pp. 375-381 ◽  
Author(s):  
Mythily Subramaniam ◽  
Edimansyah Abdin ◽  
Louisa Picco ◽  
Janhavi Ajit Vaingankar ◽  
Siow Ann Chong

2013 ◽  
Vol 74 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Mythily Subramaniam ◽  
Louisa Picco ◽  
Vincent He ◽  
Janhavi Ajit Vaingankar ◽  
Edimansyah Abdin ◽  
...  

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