Associations Between Sleep Deprivation and Salivary Testosterone Levels in Male University Students: A Prospective Cohort Study

Sleep deprivation is a common health problem that is growing rapidly worldwide and it is associated with short- and long-term impacts on health. The aim of this study was to detect potential predictors of salivary testosterone (sT) association with sleep deprivation in Arab male university students. In this prospective cohort study, 77 university male students in the age range of 18 to 26 years were divided into two groups, sleep-deprived (SD) participants and non-sleep-deprived (NSD) participants. Sleep deprivation was defined as sleeping less than 5 hr per night. Blood samples and sT were collected from fasting participants to measure serum levels of glucose, lipid profile, leptin, serotonin, sT, and body mass index (BMI) values. The multiple linear correlation model of high-density lipoprotein cholesterol (HDL-C), BMI, and serotonin was positively correlated with sT ( r = .977, p < .05) in the SD group. No correlations were identified with sT in the NSD group. In the SD study group, the multiple linear regression model of HDL-C, BMI, and serotonin was significantly influenced by sT ( R² = .955, p < .05). These predictors together explained approximately 96% of the variance in sT levels in the SD study group. No predictive variables for sT were reported in the NSD group. Results indirectly confirmed the presence of a positive association between sT and sleep deprivation in young men. This association is mediated by three factors, HDL-C, BMI, and serum serotonin, which are collectively considered as part of a significant physiological adaptation to sleep deprivation in young men.

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Association between Knowledge about Comprehensive Food Education and Increase in Dental Caries in Japanese University Students: A Prospective Cohort Study

Nutrients ◽

10.3390/nu8030114 ◽

2016 ◽

Vol 8 (3) ◽

pp. 114 ◽

Cited By ~ 8

Author(s):

Muneyoshi Kunitomo ◽

Daisuke Ekuni ◽

Shinsuke Mizutani ◽

Takaaki Tomofuji ◽

Koichiro Irie ◽

...

Keyword(s):

Cohort Study ◽

Dental Caries ◽

University Students ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Japanese University ◽

Food Education

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Young men in sports are at highest risk of acromioclavicular joint injuries: a prospective cohort study

Knee Surgery Sports Traumatology Arthroscopy ◽

10.1007/s00167-020-05958-x ◽

2020 ◽

Cited By ~ 1

Author(s):

Stein Arve Skjaker ◽

Martine Enger ◽

Lars Engebretsen ◽

Jens Ivar Brox ◽

Berte Bøe

Keyword(s):

Cohort Study ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Acromioclavicular Joint ◽

Young Men ◽

Joint Injuries

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PATRONUS: Multicenter prospective cohort study of PATient-Reported Outcomes and complications following major abdominal Neoplastic Surgery – SIGMA Study Group

10.1055/s-0039-1695230 ◽

2019 ◽

Author(s):

A Mihaljevic

Keyword(s):

Cohort Study ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Patient Reported Outcomes ◽

Study Group ◽

Patient Reported ◽

Multicenter Prospective Cohort Study ◽

Multicenter Prospective Cohort

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Does service heterogeneity have an impact on acute hospital length of stay in stroke? A UK-based multicentre prospective cohort study

BMJ Open ◽

10.1136/bmjopen-2018-024506 ◽

2019 ◽

Vol 9 (4) ◽

pp. e024506 ◽

Cited By ~ 1

Author(s):

Michelle Tørnes ◽

David McLernon ◽

Max Bachmann ◽

Stanley Musgrave ◽

Elizabeth A Warburton ◽

...

Keyword(s):

Cohort Study ◽

Length Of Stay ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Multiple Linear Regression Model ◽

Hospital Length ◽

Acute Hospital ◽

Hospital Length Of Stay ◽

Secondary Outcome ◽

Hospital Level

ObjectivesTo determine whether stroke patients’ acute hospital length of stay (AHLOS) varies between hospitals, over and above case mix differences and to investigate the hospital-level explanatory factors.DesignA multicentre prospective cohort study.SettingEight National Health Service acute hospital trusts within the Anglia Stroke & Heart Clinical Network in the East of England, UK.ParticipantsThe study sample was systematically selected to include all consecutive patients admitted within a month to any of the eight hospitals, diagnosed with stroke by an accredited stroke physician every third month between October 2009 and September 2011.Primary and secondary outcome measuresAHLOS was defined as the number of days between date of hospital admission and discharge or death, whichever came first. We used a multiple linear regression model to investigate the association between hospital (as a fixed-effect) and AHLOS, adjusting for several important patient covariates, such as age, sex, stroke type, modified Rankin Scale score (mRS), comorbidities and inpatient complications. Exploratory data analysis was used to examine the hospital-level characteristics which may contribute to variance between hospitals. These included hospital type, stroke monthly case volume, service provisions (ie, onsite rehabilitation) and staffing levels.ResultsA total of 2233 stroke admissions (52% female, median age (IQR) 79 (70 to 86) years, 83% ischaemic stroke) were included. The overall median AHLOS (IQR) was 9 (4 to 21) days. After adjusting for patient covariates, AHLOS still differed significantly between hospitals (p<0.001). Furthermore, hospitals with the longest adjusted AHLOS’s had predominantly smaller stroke volumes.ConclusionsWe have clearly demonstrated that AHLOS varies between different hospitals, and that the most important patient-level explanatory variables are discharge mRS, dementia and inpatient complications. We highlight the potential importance of stroke volume in influencing these differences but cannot discount the potential effect of unmeasured confounders.

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