1
|
Young VM, Bernal R, Baril AA, Zeynoun J, Wiedner C, Gaona C, Beiser A, Teixeira AL, Salardini A, Pase MP, Himali JJ, Seshadri S. Long Sleep Duration, Cognitive Performance, and the Moderating Role of Depression: A Cross-Sectional Analysis in the Framingham Heart Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.12.02.24318350. [PMID: 39677456 PMCID: PMC11643162 DOI: 10.1101/2024.12.02.24318350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
INTRODUCTION We investigated whether depression modified the associations between sleep duration and cognitive performance. METHODS Multivariable linear regression models examined the associations between sleep duration and cognition in 1,853 dementia- and stroke-free participants from the Framingham Heart Study. Participants were categorized in four groups: no depressive symptoms, no antidepressants; depressive symptoms without antidepressants use; antidepressant use without depressive symptoms; both depressive symptoms and antidepressant use. RESULTS Long sleep was associated with reduced overall cognitive function. Strong associations between sleep duration and cognitive performance were found in individuals with depressive symptoms, regardless of antidepressant use. Weaker but significant effects were observed in those without depressive symptoms. No significant associations were observed in participants using antidepressants without depressive symptoms. DISCUSSION These findings provide new evidence that sleep duration may be a modifiable risk factor for cognitive decline, particularly in individuals with depressive symptoms. Future research should elucidate underlying mechanisms and temporal relationships.
Collapse
Affiliation(s)
- Vanessa M. Young
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Graduate School of Biomedical Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- School of Social and Behavioral Sciences, Arizona State University, Phoenix, Arizona, USA
| | - Rebecca Bernal
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Andree-Ann Baril
- Framingham Heart Study, Framingham, Massachusetts, USA
- Research Center of the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada was
- Department of Medicine, University of Montreal, Quebec, Canada CC
| | - Joy Zeynoun
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Crystal Wiedner
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Carlos Gaona
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Alexa Beiser
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Antonio L. Teixeira
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Arash Salardini
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Matthew P. Pase
- Framingham Heart Study, Framingham, Massachusetts, USA
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Jayandra Jung Himali
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, Texas, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| |
Collapse
|
2
|
Wang W, Ji X, Guo HY, Tao M, Jin L, Chen M, Yuan H, Peng H. Investigation on sleep-related cognition of Chinese health care workers during the first wave of COVID-19 pandemic. Front Psychiatry 2023; 14:1019837. [PMID: 36993928 PMCID: PMC10040544 DOI: 10.3389/fpsyt.2023.1019837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 02/17/2023] [Indexed: 03/14/2023] Open
Abstract
BackgroundThe COVID pandemic has brought tremendous negative effects on the mental health of health care workers, such as anxiety, depression, and sleep disorders. We conducted this study to evaluate the sleep-related cognition of Chinese health care workers (HCWs) during the first wave of COVID-19 pandemic and analyze its association with sleep quality, so as to provide scientific reference for improving sleep of HCWs.Patients and methodsA total of 404 HCWs from Yijishan Hospital of Wuhu City, China were enrolled in the study, selected by randomized cluster sampling in May 2020. We made a questionnaire to collect the general demographic information of the participants. The Pittsburgh Sleep Quality Index (PSQI) and a brief version of Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) were used to measure sleep quality and sleep-related cognition, respectively.ResultsThe results showed that 312 HCWs (77.2%) had false beliefs and attitudes about sleep, while only 92 HCWs (22.8%) had correct beliefs about sleep. In addition, we found that those HCWs who were older, married, with a bachelor’s degree or higher, nurses, more daily working hours (> 8 h) and monthly night shifts (≥ 5 times), had higher DBAS-16 scores (all p < 0.05). However, we did not find significant differences between men and women in DBAS-16 scores. According to the definition of PSQI, a total of 1/4 of the HCWs are poor sleepers and their DBAS-16 score was higher than good sleepers (t = 7.622, p < 0.001). In the end, we confirmed a positive correlation between sleep cognition and sleep quality (r = 0.392, p < 0.01).ConclusionOur study revealed false beliefs and attitudes about sleep were prevalent among HCWs during the first wave of COVID-19 pandemic, and these false beliefs about sleep were closely correlated to sleep quality. We recommend fighting against these false beliefs about sleep.
Collapse
Affiliation(s)
- Wei Wang
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Xincan Ji
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Hao-Yang Guo
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Mengjun Tao
- Health Management Center, The First Affiliated Hospital of Wanan Medical Collegue, Wuhu, Anhui, China
| | - Lairun Jin
- School of Public Health, Southeast University, Nanjin, Jiangsu, China
| | - Miao Chen
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Hui Yuan
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
- *Correspondence: Hui Yuan,
| | - Hui Peng
- Department of Science and Technology Administration, The First Affiliated Hospital of Wanan Medical Collegue, Wuhu, Anhui, China
- Hui Peng,
| |
Collapse
|
3
|
Verghese JP, Terry A, de Natale ER, Politis M. Research Evidence of the Role of the Glymphatic System and Its Potential Pharmacological Modulation in Neurodegenerative Diseases. J Clin Med 2022; 11:jcm11236964. [PMID: 36498538 PMCID: PMC9735716 DOI: 10.3390/jcm11236964] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/07/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
The glymphatic system is a unique pathway that utilises end-feet Aquaporin 4 (AQP4) channels within perivascular astrocytes, which is believed to cause cerebrospinal fluid (CSF) inflow into perivascular space (PVS), providing nutrients and waste disposal of the brain parenchyma. It is theorised that the bulk flow of CSF within the PVS removes waste products, soluble proteins, and products of metabolic activity, such as amyloid-β (Aβ). In the experimental model, the glymphatic system is selectively active during slow-wave sleep, and its activity is affected by both sleep dysfunction and deprivation. Dysfunction of the glymphatic system has been proposed as a potential key driver of neurodegeneration. This hypothesis is indirectly supported by the close relationship between neurodegenerative diseases and sleep alterations, frequently occurring years before the clinical diagnosis. Therefore, a detailed characterisation of the function of the glymphatic system in human physiology and disease would shed light on its early stage pathophysiology. The study of the glymphatic system is also critical to identifying means for its pharmacological modulation, which may have the potential for disease modification. This review will critically outline the primary evidence from literature about the dysfunction of the glymphatic system in neurodegeneration and discuss the rationale and current knowledge about pharmacological modulation of the glymphatic system in the animal model and its potential clinical applications in human clinical trials.
Collapse
|