scholarly journals Sexual Function and Depressive Symptoms Among Female North American Medical Students

2011 ◽  
Vol 8 (2) ◽  
pp. 391-399 ◽  
Author(s):  
Alan W. Shindel ◽  
Michael L. Eisenberg ◽  
Benjamin N. Breyer ◽  
Ira D. Sharlip ◽  
James F. Smith
2010 ◽  
Vol 7 (12) ◽  
pp. 3909-3917 ◽  
Author(s):  
James F. Smith ◽  
Benjamin N. Breyer ◽  
Michael L. Eisenberg ◽  
Ira D. Sharlip ◽  
Alan W. Shindel

Contraception ◽  
2011 ◽  
Vol 83 (5) ◽  
pp. 459-465 ◽  
Author(s):  
Tami S. Rowen ◽  
James F. Smith ◽  
Michael L. Eisenberg ◽  
Benjamin N. Breyer ◽  
Eleanor A. Drey ◽  
...  

2010 ◽  
Vol 7 (7) ◽  
pp. 2391-2400 ◽  
Author(s):  
Benjamin N. Breyer ◽  
James F. Smith ◽  
Michael L. Eisenberg ◽  
Kathryn A. Ando ◽  
Tami S. Rowen ◽  
...  

2011 ◽  
Vol 8 (12) ◽  
pp. 3363-3369 ◽  
Author(s):  
James F. Smith ◽  
Benjamin N. Breyer ◽  
Alan W. Shindel

2020 ◽  
Vol 44 (2) ◽  
Author(s):  
Evelyn Lockhart ◽  
Michael Corrin ◽  
Paula James ◽  
Ric Lowe ◽  
Jodie Jenkinson

Physicians have difficulty recognizing and diagnosing disorders of primary hemostasis. The root of this may lie in their education, where students are often taught hemostasis using static graphics. We aimed to create a didactic animation on primary hemostasis for medical students to be used in North American medical schools. To promote widespread use of the animation, we surveyed hemostasis educators from Canada and the US on the animation’s learning objectives. The animation’s script and storyboard were developed using the Animation Processing Model (APM), a psychological processing model that addresses the perceptual limitations of learners. This animation is the first biomedical animation to use the APM in its design. Furthermore, this is the first didactic hemostasis animation which sought peer consensus for its learning objectives.


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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