Review of Social order and mental health: The Florida Mental Health Study.

1980 ◽  
Vol 50 (2) ◽  
pp. 376-378
Author(s):  
Thomas F. McGee
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 < .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


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 ◽  
...  

2013 ◽  
Vol 208 (1) ◽  
pp. S24 ◽  
Author(s):  
Vivian Romero ◽  
Valerie Stolberg ◽  
Stephen Chensue ◽  
Chelsea Clinton ◽  
Zora Djuric ◽  
...  

2019 ◽  
Vol 55 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Anitha Jeyagurunathan ◽  
Edimansyah Abdin ◽  
Janhavi Ajit Vaingankar ◽  
Boon Yiang Chua ◽  
Saleha Shafie ◽  
...  

2019 ◽  
Vol 66 ◽  
pp. 102106 ◽  
Author(s):  
Sherilyn Chang ◽  
Edimansyah Abdin ◽  
Saleha Shafie ◽  
Rajeswari Sambasivam ◽  
Janhavi Ajit Vaingankar ◽  
...  

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