Poor Children More Vulnerable to Effects of Poor Sleep

2010 ◽  
Keyword(s):  
Crisis ◽  
2014 ◽  
Vol 35 (6) ◽  
pp. 398-405 ◽  
Author(s):  
Michael R. Nadorff ◽  
Thomas E. Ellis ◽  
Jon G. Allen ◽  
E. Samuel Winer ◽  
Steve Herrera

Background: Although sleep is an important risk factor for suicidal behavior, research has yet to examine the association between sleep problems and suicidality across the course of inpatient treatment. This study examined the relationship among sleep-related symptoms and suicidal ideation across inpatient treatment. Aims: To examine whether poor sleep at admission longitudinally predicts less improvement in suicidal ideation over the course of treatment. Further, to examine whether suicidal ideation is reduced in patients whose sleep does not improve. Method: The study utilized the Beck Depression Inventory (BDI)-II, which contains items measuring depressive symptoms, sleep-related symptoms, and suicidal ideation. The study sample consisted of 1,529 adult psychiatric inpatients. Patients were assessed at admission, biweekly, and at treatment termination. Results: Admission fatigue, loss of energy, and change in sleep pattern were associated with higher levels of suicidal ideation at admission and discharge. Fatigue at admission predicted suicidal ideation at termination independent of admission depression and suicidal ideation. Individuals whose sleep did not improve over the course of treatment had significantly higher suicidal ideation scores at termination relative to those whose sleep symptoms improved, after controlling for sleep, depression, and suicidal ideation scores at admission. Conclusion: These findings suggest that persistence of sleep-related symptoms warrants clinical attention in the treatment of suicidal patients.


2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.


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