Relationship Between Brain-Derived Neurotrofic Factor (Bdnf) and Sleep on Depression: A Critical Review

The Brain-Derived Neurotrofic Factor (BDNF) is one of the most important neurotrophins in the brain and it is suggested influences the activity of the serotonergic, noradrenergic and dopaminergic pathways. In the last few years, it has been hypothesized that BDNF level is related with depression and sleep. Several studies show that depressive subjects present low levels of BDNF in the brain. Poor sleep quality is also related with alterations in the BDNF concentration. Some authors argue that most of the cases show that impaired sleep quality increases the stress and, consequently, the vulnerability to depressive disorders, suggesting that there is a relationship between sleep, depression and BDNF levels.

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A cross-sectional study of sleep and depression in a rheumatoid arthritis population

Clinical Rheumatology ◽

10.1007/s10067-020-05414-8 ◽

2020 ◽

Author(s):

Mark Hughes ◽

Alan Chalk ◽

Poonam Sharma ◽

Sandeep Dahiya ◽

James Galloway

Keyword(s):

Rheumatoid Arthritis ◽

Sleep Quality ◽

Cross Sectional Study ◽

Poor Sleep ◽

Comorbid Depression ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Rheumatoid Arthritis Population ◽

Impaired Sleep

Abstract Objectives To assess the prevalence of impaired sleep quality and depression in a rheumatoid arthritis population and determine their correlation with Disease Activity Score (DAS) and its components. Methods In this single-centre observational cross-sectional study, data was collected by the assessing clinician for DAS28, age and gender in various treatment groups according to use of csDMARDs, biologics and long-term steroids. Presence of impaired sleep quality and depression was assessed by the Pittsburgh Sleep Quality Index (PSQI) and Public Health Questionnaire 9 (PHQ 9). Correlation for DAS and its components with the outcomes was determined by Pearson’s correlation coefficient. Multivariate analysis was performed by logistic regression. Results Two hundred patients were included. The prevalence across all subgroups of poor sleep quality and depression were 86.5% and 30%, respectively, with a correlation coefficient of 0.69 between the two and poor sleep quality amongst all RA patients with comorbid depression. Multivariate analysis found only subjective DAS components, tender joint count (TJC) and patient global health visual analogue score (VAS) to significantly correlate with both outcomes. Age inversely correlated with depression. Long-term steroid use was associated with poorer sleep quality, but there was no significant effect of csDMARDs or biologics. There was no significant difference in prevalence of depression amongst treatment subgroups. Conclusion Poor sleep quality and to a lesser extent depression are prevalent in the general rheumatoid arthritis population. Patients would benefit from clinicians measuring these outcomes routinely as they constitute a significant non-inflammatory burden of living with rheumatoid disease. Key Points• Subjective components of DAS independently correlate with sleep quality and depression, while objective components do not.• Poor sleep quality is highly prevalent in RA and present in all those with comorbid depression.• Poor sleep quality and depression incidence in RA are much lower when DAS is low or remission.

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Predictors of depression, anxiety and stress among remote workers during the COVID-19 pandemic

Work ◽

10.3233/wor-210082 ◽

2021 ◽

pp. 1-11

Author(s):

Erman Şentürk ◽

Eser Sağaltıcı ◽

Bahadır Geniş ◽

Ömür Günday Toker

Keyword(s):

Mental Health ◽

Sleep Quality ◽

Working Hours ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Home Life ◽

Remote Workers ◽

Low Levels ◽

First Time ◽

Predictors Of Depression

BACKGROUND: The COVID-19 pandemic has had a massive impact on work and home life, changing all daily routines of remote workers. It is extremely important to figure out some changes in home and work life that may affect the mental health of remote workers more. OBJECTIVES: The first aim of the study was to investigate the predictors of depression, anxiety, and stress among first-time remote workers during the COVID-19 pandemic. The second aim was to explore sex differences regarding work and homelife during the COVID-19 pandemic. METHODS: The sample consisted of 459 participants who have been working from home for the first time during the COVID-19 pandemic. An online survey used included questions relating to sociodemographic characteristics, changes in work and home life, Depression Anxiety Stress Questionnaire-Short Form, Jenkins Sleep Scale, and Leisure-Time Exercise Questionnaire. RESULTS: Prevalence of depression, anxiety, and stress was 17.9%, 19.6%, and 19.6%of the study participants, respectively. Poor sleep quality, trouble focusing at work, being female, workplace loneliness, low levels of control over working hours, and low levels of physical activity were predictors of depression. Poor sleep quality, increased workload, and being female were predictors of anxiety. Poor sleep quality, trouble focusing at work, being female, financial concern, and workplace loneliness were predictors of stress. It was observed a higher increase in both housework and working hours during the COVID-19 pandemic in women. CONCLUSION: Determining the variables that can affect the mental health of remote workers is highly important for timely psychological intervention.

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Association between sleep duration, sleep quality and hyperlipidemia in middle-aged and older Chinese: The Dongfeng–Tongji Cohort Study

European Journal of Preventive Cardiology ◽

10.1177/2047487319843068 ◽

2019 ◽

Vol 26 (12) ◽

pp. 1288-1297 ◽

Cited By ~ 4

Author(s):

Dongming Wang ◽

Jianghao Chen ◽

Yun Zhou ◽

Jixuan Ma ◽

Min Zhou ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Poor Sleep ◽

Middle Aged ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Cox Proportional Hazard ◽

Cox Proportional Hazard Models ◽

Older Chinese ◽

Impaired Sleep

Aims This study aimed to evaluate the relationship between sleep duration, sleep quality and hyperlipidemia in middle-aged and older Chinese. Methods We included 20,712 individuals at baseline from September 2008 to June 2010, and they were followed-up until October 2013. Hyperlipidemia was defined according to the Chinese guidelines on the prevention and treatment of dyslipidemia in adults. Sleep duration was self-reported and sleep quality was evaluated with a questionnaire that was designed according to the Pittsburgh Sleep Quality Index. Logistic regression and Cox proportional hazard models were conducted to explore the associations. Results In the cross-sectional analyses, longer sleep duration (≥10 h) was significantly associated with higher prevalence of hyperlipidemia (odds ratio (OR) = 1.17, 95% confidence interval (CI) = 1.02–1.35) after adjusting for potential confounders. The ORs of hyperlipidemia were significantly elevated among participants with impaired sleep quality (OR = 1.14, 95% CI = 1.08–1.22) and poor sleep quality (OR = 1.20, 95% CI = 1.08–1.34) when compared to those with good sleep quality. In the longitudinal analyses, compared to participants with a sleep duration of 7–<8 h, those with a sleep duration of 9–<10 h (hazard ratio (HR) = 1.19, 95% CI = 1.04–1.35) and ≥10 h (HR = 1.27, 95% CI = 1.02–1.58) showed significantly higher risk of hyperlipidemia after adjusting for potential confounders. However, no statistically significant association was found between impaired or poor sleep quality and hyperlipidemia. Conclusions Longer sleep duration was significantly associated with higher risk of hyperlipidemia. Impaired or poor sleep quality were associated with elevated prevalence of hyperlipidemia, but not with the incidence of hyperlipidemia.

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Sleep and chronobiology in cluster headache

Cephalalgia ◽

10.1177/0333102414564892 ◽

2015 ◽

Vol 35 (11) ◽

pp. 969-978 ◽

Cited By ~ 49

Author(s):

M Barloese ◽

N Lund ◽

A Petersen ◽

M Rasmussen ◽

P Jennum ◽

...

Keyword(s):

Sleep Quality ◽

Cluster Headache ◽

Pittsburgh Sleep Quality Index ◽

Headache Disorder ◽

National Institutes Of Health ◽

Poor Sleep ◽

Structured Interviews ◽

Poor Sleep Quality ◽

Night Time ◽

Impaired Sleep

Background and aim M.R. present address: PAIN, National Institutes of Health, Bethesda, MD, USA Cluster headache (CH) is the headache disorder with the strongest chronobiological traits. The severe attacks of pain occur with diurnal and annual rhythmicity but the precise rhythm and involvement of potential zeitgebers is unknown. Patients complain of poor sleep quality yet this has never been studied. We investigated triggers, rhythms, sleep quality and chronotypes in CH. Methods Patients and controls completed questionnaires and structured interviews composed of new and previously validated parts including the Pittsburgh Sleep Quality Index (PSQI) and Morningness-Eveningness Questionnaire (MEQ). Patients were characterized by a CH index, a unified measure of headache burden. Results A total of 275 CH patients and 145 matched controls were included. The most common trigger was sleep (80%) and a relationship between clusters and daylight was identified. Of the patients, 82.2% reported diurnal and 56% annual rhythmicity. Patients reported impaired sleep quality (PSQI) ( p < 0.0001) and an inverse relationship between time passed since last attack and sleep quality was identified ( p < 0.0001). The CH index was positively related to the PSQI ( p < 0.0001). Conclusion Diurnally, CH exhibits a relationship with night-time and annually with daylight hours. Patients’ sleep quality is reduced compared with controls. Results suggest a complex relationship as sleep quality improves between clusters, but remains pathological.

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Rumination and dissociation: The mediating role of poor sleep quality and presleep cognitions.

Psychology of Consciousness Theory Research and Practice ◽

10.1037/cns0000128 ◽

2018 ◽

Vol 5 (2) ◽

pp. 185-211 ◽

Cited By ~ 2

Author(s):

Miriam Vannikov-Lugassi ◽

Nirit Soffer-Dudek

Keyword(s):

Sleep Quality ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Mediating Role

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Poor sleep quality and its relationship to attentional-executive dysfunctioning in depressive inpatients

10.1055/s-0037-1606395 ◽

2017 ◽

Author(s):

B Kundermann ◽

S Fockenberg ◽

M Müller ◽

N Cabanel

Keyword(s):

Sleep Quality ◽

Poor Sleep ◽

Poor Sleep Quality

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Psychological Distress Mediates the Association between Poor Sleep Quality and Prediabetes

Diabetes ◽

10.2337/db18-865-p ◽

2018 ◽

Vol 67 (Supplement 1) ◽

pp. 865-P

Author(s):

LI LI

Keyword(s):

Psychological Distress ◽

Sleep Quality ◽

Poor Sleep ◽

Poor Sleep Quality

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Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

Global Psychiatry ◽

10.2478/gp-2019-0019 ◽

2019 ◽

Vol 2 (2) ◽

pp. 211-220

Author(s):

Ahmed Waqas ◽

Aqsa Iftikhar ◽

Zahra Malik ◽

Kapil Kiran Aedma ◽

Hafsa Meraj ◽

...

Keyword(s):

Social Support ◽

Depressive Symptoms ◽

Medical Students ◽

Sleep Quality ◽

Severe Depression ◽

Dental Students ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Medical And Dental Students

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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