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Pang X, Zhou B, Wu J, Mo Q, Yang L, Liu T, Jin G, Zhang L, Liu X, Xu X, Wang B, Cao H. Lacticaseibacillus rhamnosus GG alleviates sleep deprivation-induced intestinal barrier dysfunction and neuroinflammation in mice. Food Funct 2024; 15:8740-8758. [PMID: 39101469 DOI: 10.1039/d4fo00244j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2024]
Abstract
Consuming probiotic products is a solution that people are willing to choose to augment health. As a global health hazard, sleep deprivation (SD) can cause both physical and mental diseases. The present study investigated the protective effects of Lacticaseibacillus rhamnosus GG (LGG), a widely used probiotic, on a SD mouse model. Here, it has been shown that SD induced intestinal damage in mice, while LGG supplementation attenuated disruption of the intestinal barrier and enhanced the antioxidant capacity. Microbiome analysis revealed that SD caused dysbiosis in the gut microbiota, characterized by increased levels of Clostridium XlVa, Alistipes, and Desulfovibrio, as well as decreased levels of Ruminococcus, which were partially ameliorated by LGG. Moreover, SD resulted in elevated pro-inflammatory cytokine concentrations in both the intestine and the brain, while LGG provided protection in both organs. LGG supplementation significantly improved locomotor activity in SD mice. Although heat-killed LGG showed some protective effects in SD mice, its overall efficacy was inferior to that of live LGG. In terms of mechanism, it was found that AG1478, an inhibitor of the epidermal growth factor receptor (EGFR) tyrosine kinase, could diminish the protective effects of LGG. In conclusion, LGG demonstrated the ability to alleviate SD-induced intestinal barrier dysfunction through EGFR activation and alleviate neuroinflammation.
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Affiliation(s)
- Xiaoqi Pang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Bingqian Zhou
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Jingyi Wu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Qi Mo
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Lijiao Yang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Tiaotiao Liu
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Ge Jin
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Lan Zhang
- Department of Geriatrics, General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Xiang Liu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Xin Xu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Bangmao Wang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
| | - Hailong Cao
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Anshan Road No. 154, Heping District, Tianjin, 300052, China.
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Gonçalves LDS, Rusch G, Alves AG, Krüger LD, Paim MP, Martins CC, da Motta KP, Neto JSS, Luchese C, Wilhelm EA, Brüning CA, Bortolatto CF. Acute 2-phenyl-3-(phenylselanyl)benzofuran treatment reverses the neurobehavioral alterations induced by sleep deprivation in mice. Biochem Pharmacol 2024; 226:116339. [PMID: 38848781 DOI: 10.1016/j.bcp.2024.116339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 05/05/2024] [Accepted: 06/04/2024] [Indexed: 06/09/2024]
Abstract
Sleep is a fundamental state for maintaining the organism homeostasis. Disruptions in sleep patterns predispose to the appearance of memory impairments and mental disorders, including depression. Recent pre-clinical studies have highlighted the antidepressant-like properties of the synthetic compound 2-phenyl-3-(phenylselanyl)benzofuran (SeBZF1). To further investigate the neuromodulatory effects of SeBZF1, this study aimed to assess its therapeutic efficacy in ameliorating neurobehavioral impairments induced by sleep deprivation (SD) in mice. For this purpose, a method known as multiple platforms over water was used to induce rapid eye movement (REM) SD. Two hours after acute SD (24 h), male Swiss mice received a single treatment of SeBZF1 (5 mg/kg, intragastric route) or fluoxetine (a positive control, 20 mg/kg, intraperitoneal route). Subsequently, behavioral tests were conducted to assess spontaneous motor function (open-field test), depressive-like behavior (tail suspension test), and memory deficits (Y-maze test). Brain structures were utilized to evaluate oxidative stress markers, monoamine oxidase (MAO) and acetylcholinesterase (AChE) activities. Our findings revealed that SD animals displayed depressive-like behavior and memory impairments, which were reverted by SeBZF1 and fluoxetine treatments. SeBZF1 also reverted the increase in lipoperoxidation levels and glutathione peroxidase activity in the pre-frontal cortex in mice exposed to SD. Besides, the increase in hippocampal AChE activity induced by SD was overturned by SeBZF1. Lastly, cortical MAO-B activity was reestablished by SeBZF1 in mice that underwent SD. Based on the main findings of this study, it can be inferred that the compound SeBZF1 reverses the neurobehavioral alterations induced by sleep deprivation in male Swiss mice.
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Affiliation(s)
- Luciane da Silva Gonçalves
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Gabriela Rusch
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Amália Gonçalves Alves
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Letícia Devantier Krüger
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Mariana Parron Paim
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Carolina Cristóvão Martins
- Laboratório de Farmacologia Bioquímica (LaFarBio), Centro de Ciências Químicas, Farmacêuticas e de Alimentos (CCQFA), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Ketlyn Pereira da Motta
- Laboratório de Farmacologia Bioquímica (LaFarBio), Centro de Ciências Químicas, Farmacêuticas e de Alimentos (CCQFA), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | | | - Cristiane Luchese
- Laboratório de Farmacologia Bioquímica (LaFarBio), Centro de Ciências Químicas, Farmacêuticas e de Alimentos (CCQFA), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - Ethel Antunes Wilhelm
- Laboratório de Farmacologia Bioquímica (LaFarBio), Centro de Ciências Químicas, Farmacêuticas e de Alimentos (CCQFA), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil
| | - César Augusto Brüning
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil.
| | - Cristiani Folharini Bortolatto
- Programa de Pós-graduação em Bioquímica e Bioprospecção, Laboratório de Bioquímica e Neurofarmacologia Molecular (LABIONEM), Universidade Federal de Pelotas (UFPel), CEP 96010-900, Pelotas, RS, Brasil.
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Wang Z, Dou Y, Chen L, Feng W, Zou Y, Xiao J, Wang J, Zou Z. Mendelian randomization identifies causal effects of major depressive disorder on accelerated aging. J Affect Disord 2024; 358:422-431. [PMID: 38750800 DOI: 10.1016/j.jad.2024.05.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Evidence links major depressive disorder (MDD) with aging, but it's unclear if MDD accelerates aging and what factors mediate this transition. METHODS Two-sample Mendelian randomization (MR) analyses were applied to estimate the causal association between MDD and frailty index (FI), telomere length (TL), and appendicular lean mass (ALM) from available genome-wide association studies in populations of European ancestry. Furthermore, we conducted mediation MR analyses to assess the mediating effects of 31 lifestyle factors or diseases on the causal relationship between MDD and aging. RESULTS MDD was significantly causally associated with increased FI (βIVW = 0.23, 95 % CI = 0.18 to 0.28, p = 1.20 × 10-17), shorter TL (βIVW = -0.04, 95 % CI = -0.07 to -0.01, p = 0.01), and decreased ALM (βIVW = -0.07, 95 % CI = -0.11 to -0.03, p = 3.54 × 10-4). The mediation analysis through two-step MR revealed smoking initiation (9.09 %), hypertension (6.67 %) and heart failure (5.36 %) mediated the causal effect of MDD on FI. Additionally, alcohol use disorders and alcohol dependence on the causal relationship between MDD and TL were found to be 17.52 % and 17.13 % respectively. LIMITATIONS Confounding, statistical power, and Euro-centric focus limit generalization. CONCLUSION Overall, individuals with MDD may be at a higher risk of experiencing premature aging, and this risk is partially influenced by the pathways involving smoking, alcohol use, and cardiovascular health. It underscores the importance of early intervention and comprehensive health management in individuals with MDD to promote healthy aging and overall well-being.
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Affiliation(s)
- Zuxing Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
| | - Yikai Dou
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lili Chen
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Wenqian Feng
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Yazhu Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Jinyu Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Zhili Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
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Zheng NS, Annis J, Master H, Han L, Gleichauf K, Ching JH, Nasser M, Coleman P, Desine S, Ruderfer DM, Hernandez J, Schneider LD, Brittain EL. Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program. Nat Med 2024:10.1038/s41591-024-03155-8. [PMID: 39030265 DOI: 10.1038/s41591-024-03155-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 06/25/2024] [Indexed: 07/21/2024]
Abstract
Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional and self-reported survey data or polysomnograms, which have limitations with respect to data granularity, sample size and longitudinal information. Here, using objectively measured, longitudinal sleep data from commercial wearable devices linked to electronic health record data from the All of Us Research Program, we show that sleep patterns, including sleep stages, duration and regularity, are associated with chronic disease incidence. Of the 6,785 participants included in this study, 71% were female, 84% self-identified as white and 71% had a college degree; the median age was 50.2 years (interquartile range = 35.7, 61.5) and the median sleep monitoring period was 4.5 years (2.5, 6.5). We found that rapid eye movement sleep and deep sleep were inversely associated with the odds of incident atrial fibrillation and that increased sleep irregularity was associated with increased odds of incident obesity, hyperlipidemia, hypertension, major depressive disorder and generalized anxiety disorder. Moreover, J-shaped associations were observed between average daily sleep duration and hypertension, major depressive disorder and generalized anxiety disorder. These findings show that sleep stages, duration and regularity are all important factors associated with chronic disease development and may inform evidence-based recommendations on healthy sleeping habits.
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Affiliation(s)
- Neil S Zheng
- Yale School of Medicine, Yale University, New Haven, CT, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Jeffrey Annis
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hiral Master
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lide Han
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | | | - Peyton Coleman
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stacy Desine
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Douglas M Ruderfer
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Logan D Schneider
- Google, Mountain View, CA, USA
- Sleep Medicine Center, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Redwood City, CA, USA
| | - Evan L Brittain
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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Wang Y, Zhang H. Latent profile analysis of depression and its influencing factors in older adults raising grandchildren in China. Geriatr Nurs 2024; 59:67-76. [PMID: 38991297 DOI: 10.1016/j.gerinurse.2024.06.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 06/09/2024] [Accepted: 06/27/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE To explore the latent profile of depression in older adults raising grandchildren in China, and to analyze the differences in the characteristics of the different profiles of the population and the factors influencing them. METHODS This study utilized the 2018 China Health and Retirement Longitudinal Study (CHARLS). Through a cross-sectional study, the latent profile analysis was used to analyze the potential classification of depression among older adults raising grandchildren, and using ordered multi-categorical logistic regression analyses to assess the effects of each factor on their different classifications. RESULTS The 1271 older adults raising grandchildren with depression symptoms were divided into three categories: low-level depression (55.4%), moderate-level depression (31.2%), and high-level depression (13.4%). Ordered multi-categorical Logistic results showed: Gender, marital status, pension insurance, physical health status, life satisfaction, and IADL were predictors of latent profile classification of depression symptoms in older adults raising grandchildren (P < 0.05). CONCLUSIONS In the future of primary care, it will be more meaningful to provide targeted interventions for different subgroups of depression in older adults raising grandchildren.
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Affiliation(s)
- Yanan Wang
- School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, PR China
| | - Huijun Zhang
- School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, PR China.
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Wang F, Sun Z, Lin F, Xu Y, Wu E, Sun X, Zhou X, Wu Y. Nonlinear relationships between sleep duration, mental health, and quality of life: The dangers of less sleep versus more sleep. Sleep Med 2024; 119:565-573. [PMID: 38823335 DOI: 10.1016/j.sleep.2024.05.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/01/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Recent research has found a non-linear relationship between sleep duration and mental health/quality of life. However, it is currently unclear which age group is more affected by sleep duration and what the optimal sleep duration is for each age group. Additionally, the underlying mechanisms of the non-linear relationship between sleep duration and quality of life are not well understood. METHODS Therefore, this study utilized questionnaire data from 20,962 participants in the Chinese PBICR-2022 database(Cross-sectional study) and constructed models to analyze the relationship between sleep duration and quality of life. RESULTS The results showed that the optimal sleep duration varied among different age groups: approximately 9 h for adolescents, 8 h for early/middle-aged adults, and 7 h for older adults. Compared to other age groups, less or more sleep duration had a greater impact on mental health and quality of life in adolescents. Furthermore, mental health was found to play a significant mediating role between sleep duration and quality of life in both the less sleep group and the more sleep group, but this mediating effect was not significant among the older adults in the less sleep group, whereas the mediating effect of mental health was not significant among the middle-aged adults in the more sleep group. CONCLUSIONS This suggests that different age groups have different optimal sleep duration, and age may be an important factor influencing the relationship between sleep duration and mental health/quality of life, with mental health playing a mediating role in the relationship between sleep duration and quality of life.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Zhijing Sun
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Feng Lin
- School of Philosophy, Anhui University, Hefei, China
| | - Yanni Xu
- School of Philosophy, Anhui University, Hefei, China
| | - Erya Wu
- School of Philosophy, Anhui University, Hefei, China
| | - Xinying Sun
- School of Public Health, Peking University, Beijing, China
| | - Xiaoming Zhou
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Dongying People's Hospital, Dongying, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China.
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Wang Z, Li X, Wang J, Yang W, Dove A, Lu W, Qi X, Sindi S, Xu W. Association of past and current sleep duration with structural brain differences: A large population-based study from the UK Biobank. Sleep Med 2024; 119:179-186. [PMID: 38692219 DOI: 10.1016/j.sleep.2024.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024]
Abstract
OBJECTIVE This study aimed to examine the association between past/current sleep duration and macro-/micro-structural brain outcomes and explore whether hypertension or social activity plays a role in such association. METHODS Within the UK Biobank, 40 436 dementia-free participants (age 40-70 years) underwent a baseline assessment followed by a brain magnetic resonance imaging (MRI) scan 9 years later. Past (baseline) and current (MRI scans) sleep duration (hours/day) were recorded and classified as short (≤5), intermediate (6-8), and long (≥9). Brain structural volumes and diffusion markers were assessed by MRI scans. RESULTS Compared with past intermediate sleep, past short sleep was related to smaller cortex volumes (standardized β [95 % CI]: -0.04 [-0.07, -0.02]) and lower regional fractional anisotropy (FA) (-0.08 [-0.13, -0.03]), while past long sleep was related to smaller regional subcortical volumes (standardized β: -0.04 to -0.07 for thalamus, accumbens, and hippocampus). Compared to current intermediate sleep, current short sleep was associated with smaller cortex volumes (-0.03 [-0.05, -0.01]), greater white matter hyperintensities (WMH) volumes (0.04 [0.01, 0.08]), and lower regional FA (-0.07 [-0.11, -0.02]). However, current long sleep was related to smaller total brain (-0.03 [-0.05, -0.02]), grey matter (-0.05 [-0.07, -0.03]), cortex (-0.05 [-0.07, -0.03]), regional subcortical volumes [standardized β: -0.05 to -0.09 for putamen, thalamus, hippocampus, and accumbens]), greater WMH volumes (0.06 [0.03, 0.09]), as well as lower regional FA (-0.05 [-0.09, -0.02]). The association between current long sleep duration and poor brain health was stronger among people with hypertension or low frequency of social activity (all Pinteraction <0.05). CONCLUSIONS Both past and current short/long sleep are associated with smaller brain volume and poorer white matter health in the brain, especially in individuals with hypertension and low frequency of social activity. Our findings highlight the need to maintain 6-8 h' sleep duration for healthy brain aging.
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Affiliation(s)
- Zhiyu Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Xuerui Li
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Jiao Wang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Wenzhe Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Wenli Lu
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiuying Qi
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shireen Sindi
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Ageing Epidemiology Research Unit (AGE), School of Public Health, Faculty of Medicine, Imperial College London, UK
| | - Weili Xu
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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Dong B, Xue R, Li J, Ling S, Xing W, Liu Z, Yuan X, Pan J, Du R, Shen X, Zhang J, Zhang Y, Li Y, Zhong G. Ckip-1 3'UTR alleviates prolonged sleep deprivation induced cardiac dysfunction by activating CaMKK2/AMPK/cTNI pathway. MOLECULAR BIOMEDICINE 2024; 5:23. [PMID: 38871861 PMCID: PMC11176284 DOI: 10.1186/s43556-024-00186-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/14/2024] [Indexed: 06/15/2024] Open
Abstract
Sleep deprivation (SD) has emerged as a critical concern impacting human health, leading to significant damage to the cardiovascular system. However, the underlying mechanisms are still unclear, and the development of targeted drugs is lagging. Here, we used mice to explore the effects of prolonged SD on cardiac structure and function. Echocardiography analysis revealed that cardiac function was significantly decreased in mice after five weeks of SD. Real-time quantitative PCR (RT-q-PCR) and Masson staining analysis showed that cardiac remodeling marker gene Anp (atrial natriuretic peptide) and fibrosis were increased, Elisa assay of serum showed that the levels of creatine kinase (CK), creatine kinase-MB (CK-MB), ANP, brain natriuretic peptide (BNP) and cardiac troponin T (cTn-T) were increased after SD, suggesting that cardiac remodeling and injury occurred. Transcript sequencing analysis indicated that genes involved in the regulation of calcium signaling pathway, dilated cardiomyopathy, and cardiac muscle contraction were changed after SD. Accordingly, Western blotting analysis demonstrated that the cardiac-contraction associated CaMKK2/AMPK/cTNI pathway was inhibited. Since our preliminary research has confirmed the vital role of Casein Kinase-2 -Interacting Protein-1 (CKIP-1, also known as PLEKHO1) in cardiac remodeling regulation. Here, we found the levels of the 3' untranslated region of Ckip-1 (Ckip-1 3'UTR) decreased, while the coding sequence of Ckip-1 (Ckip-1 CDS) remained unchanged after SD. Significantly, adenovirus-mediated overexpression of Ckip-1 3'UTR alleviated SD-induced cardiac dysfunction and remodeling by activating CaMKK2/AMPK/cTNI pathway, which proposed the therapeutic potential of Ckip-1 3'UTR in treating SD-induced heart disease.
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Affiliation(s)
- Beilei Dong
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Rui Xue
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China.
| | - Jianwei Li
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Shukuan Ling
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325041, China
| | - Wenjuan Xing
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Zizhong Liu
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Xinxin Yuan
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Junjie Pan
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Ruikai Du
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Xinming Shen
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Jingwen Zhang
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China
| | - Youzhi Zhang
- Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing, 100850, China.
| | - Yingxian Li
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China.
| | - Guohui Zhong
- National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China.
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9
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Jiang R, Noble S, Rosenblatt M, Dai W, Ye J, Liu S, Qi S, Calhoun VD, Sui J, Scheinost D. The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nat Commun 2024; 15:4411. [PMID: 38782943 PMCID: PMC11116547 DOI: 10.1038/s41467-024-48827-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
Cross-sectional studies have demonstrated strong associations between physical frailty and depression. However, the evidence from prospective studies is limited. Here, we analyze data of 352,277 participants from UK Biobank with 12.25-year follow-up. Compared with non-frail individuals, pre-frail and frail individuals have increased risk for incident depression independent of many putative confounds. Altogether, pre-frail and frail individuals account for 20.58% and 13.16% of depression cases by population attributable fraction analyses. Higher risks are observed in males and individuals younger than 65 years than their counterparts. Mendelian randomization analyses support a potential causal effect of frailty on depression. Associations are also observed between inflammatory markers, brain volumes, and incident depression. Moreover, these regional brain volumes and three inflammatory markers-C-reactive protein, neutrophils, and leukocytes-significantly mediate associations between frailty and depression. Given the scarcity of curative treatment for depression and the high disease burden, identifying potential modifiable risk factors of depression, such as frailty, is needed.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Stephanie Noble
- Department of Psychology, Northeastern University, Boston, MA, USA
- Department of Bioengineering, Northeastern University, Boston, MA, USA
- Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA
| | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Wei Dai
- Department of Biostatistics, Yale University, New Haven, CT, 06520, USA
| | - Jean Ye
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA
| | - Shu Liu
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
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10
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Mu FZ, Liu J, Lou H, Zhu WD, Wang ZC, Li B. Influence of physical exercise on negative emotions in college students: chain mediating role of sleep quality and self-rated health. Front Public Health 2024; 12:1402801. [PMID: 38765486 PMCID: PMC11100322 DOI: 10.3389/fpubh.2024.1402801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 04/19/2024] [Indexed: 05/22/2024] Open
Abstract
Background Negative emotions in college students are a significant factor affecting mental health, with suicide behaviors caused by negative emotions showing an annual increasing trend. Existing studies suggest that physical exercise is essential to alleviate negative feelings, yet the intrinsic mechanisms by which it affects negative emotions have not been fully revealed. Objective Negative emotions in college students represent a significant issue affecting mental health. This study investigates the relationship between physical exercise and negative emotions among college students, incorporating sleep quality and self-rated health (SRH) as mediators to analyze the pathway mechanism of how physical exercise affects students' negative emotions. Methods A cross-sectional study design was utilized, employing online questionnaires for investigation. The scales included the Physical Activity Rating Scale-3 (PARS-3), the Depression Anxiety Stress Scales-21 (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), and the 12-Item Short Form Health Survey (SF-12), resulting in the collection of 30,475 valid questionnaires, with a validity rate of 91%. Chain mediation tests and Bootstrap methods were applied for effect analysis. Results The proportions of university students engaged in low, medium, and high levels of physical exercise were 77.6, 13.1, and 9.3%, respectively. The proportions of students experiencing "very severe" levels of stress, anxiety, and depression were 4.5, 10.9, and 3.6%, respectively. Physical exercise was significantly positively correlated with self-rated health (r = 0.194, p < 0.01), significantly negatively correlated with sleep quality (r = -0.035, p < 0.01), and significantly negatively correlated with stress, anxiety, and depression (r = -0.03, p < 0.01; r = -0.058, p < 0.01; r = -0.055, p < 0.01). Sleep quality was significantly negatively correlated with self-rated health (r = -0.242, p < 0.01). Mediation effect testing indicated that sleep quality and self-rated health partially mediated the relationship between physical exercise and negative emotions, with total effect, total direct effect, and total indirect effect values of -1.702, -0.426, and - 1.277, respectively. Conclusion College students primarily engage in low-intensity physical activity. Sleep quality and self-rated health mediate the impact of physical exercise on students' negative emotions. A certain level of physical activity can directly affect students' emotional states and indirectly influence their negative emotions via sleep and self-rated health. Regular engagement in physical activities primarily positively impacts emotional states by enhancing mood stability and overall emotional resilience.
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Affiliation(s)
- Fan-zheng Mu
- Institute of Sports Science, Nantong University, Nantong, China
| | - Jun Liu
- Institute of Sports Science, Nantong University, Nantong, China
| | - Hu Lou
- Institute of Sports Science, Nantong University, Nantong, China
| | - Wei-dong Zhu
- Institute of Sports Science, Nantong University, Nantong, China
| | - Zhen-cheng Wang
- School of Basic Medicine, Nanjing Medical University, Nanjing, China
| | - Bo Li
- Institute of Sports Science, Nantong University, Nantong, China
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11
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Yang H, Zhang Y, Li X, Liu Z, Bai Y, Qian G, Wu H, Li J, Guo Y, Yang S, Chen L, Yang J, Han J, Ma S, Yang J, Yu L, Shui R, Jin X, Wang H, Zhang F, Chen T, Li X, Zong X, Liu L, Fan J, Wang W, Zhang Y, Shi G, Wang D, Tao S. Associations between sleep problems and cardiometabolic risk in maintenance hemodialysis patients: A multicenter study. Heliyon 2024; 10:e27377. [PMID: 38496884 PMCID: PMC10944224 DOI: 10.1016/j.heliyon.2024.e27377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/19/2024] Open
Abstract
The incidence of cardiovascular disease is increasing around the world, and it is one of the main causes of death in chronic kidney diseases patients. It is urgent to early identify the factors of cardiometabolic risk. Sleep problems have been recognized as a risk factor for cardiometabolic risk in both healthy people and chronic patients. However, the relationship between sleep problems and cardiometabolic risk has not been clearly explored in hemodialysis patients. This study aimed to investigate the relationship between sleep problems and cardiometabolic risk in 3025 hemodialysis patients by a multicenter study. After adjusting for confounders, binary logistic regression models showed that hemodialysis patients reported sleep duration greater than 7 h were more likely to be with hypertension, hyperglycemia, hypertriglyceridemia, and hypercholesterolemia. Patients reported sleep duration less than 7 h were more likely to be with hypertriglyceridemia and hypercholesterolemia, but the risks of hyperglycemia and Low HDL-cholesterol were decreased. Poor sleep quality was negatively correlated to low HDL cholesterol and hypertriglyceridemia. Moreover, gender-based differences were explained.
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Affiliation(s)
- Huan Yang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Yingxin Zhang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Xiuyong Li
- Blood Purification Center, NO.2 People's Hospital of Fuyang City, 1088 Yinghe West Road, Fuyang, 236015, China
| | - Zhi Liu
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Science & Technology, 203 Huaibin Road, Huainan, 232000, China
| | - Youwei Bai
- Department of Nephrology, The Second People's Hospital of Lu'an City, 73 Mozitan Road, Lu'an, 237000, China
| | - Guangrong Qian
- Department of Nephrology, Maanshan People's Hospital, 45 Hubei Road, Maanshan, 243099, China
| | - Han Wu
- Blood Purification Center, Bozhou People's Hospital, 616 Duzhong Road, Bozhou, 236814, China
| | - Ji Li
- Department of Nephrology, Tongling People's Hospital, 468 Bijiashan Road, Tongling, 244099, China
| | - Yuwen Guo
- Department of Nephrology, Lujiang County People's Hospital, 32 Wenmingzhong Road, Lujiang, 231501, China
| | - Shanfei Yang
- Department of Nephrology, Shouxian County Hospital, Northeast of the Intersection of Binyang Avenue and Dongjin Avenue, Shouxian County, 232200, China
| | - Lei Chen
- Department of Nephrology, Hefei Jinnan Kidney Hospital, Northeast of the Intersection of Fozhang Road and Beihai Road, Hefei, 230071, China
| | - Jian Yang
- Department of Nephrology, Funan County People's Hospital, 36 Santa Road, Funan County, 236300, China
| | - Jiuhuai Han
- Department of Nephrology, Anqing Municipal Hospital, 87 East Tianzhushan Road, Anqing, 246003, China
| | - Shengyin Ma
- Department of Nephrology, Anhui Wanbei Coal-Electricity Group General Hospital, 125 Huaihe West Road, Suzhou, 234099, China
| | - Jing Yang
- Department of Nephrology, The First People's Hospital of Hefei, 390 Huaihe Road, Hefei, 230061, China
| | - Linfei Yu
- Department of Nephrology, The People's Hospital of Taihu, 196 Renmin Road, Taihu County, 246400, China
| | - Runzhi Shui
- Blood Purification Center, Huangshan City People's Hospital, 4 Liyuan Road, Huangshan, 245000, China
| | - Xiping Jin
- Department of Nephrology, Huainan Chao Yang Hospital, 15 Renmin South Road, Huainan, 232007, China
| | - Hongyu Wang
- Department of Nephrology, Lixin County People's Hospital, Intersection of Wenzhou Road and Feihe Road, Lixin County, 236700, China
| | - Fan Zhang
- Department of Nephrology, Dongzhi County People's Hospital, 70 Jianshe Road, Dongzhi County, 247299, China
| | - Tianhao Chen
- Department of Nephrology, Tianchang City People's Hospital, 137 Jianshe East Road, Tianchang, 239399, China
| | - Xinke Li
- Department of Nephrology, Xiaoxian People's Hospital, 58 Jiankang Road, Xiaoxian Conty, 235200, China
| | - Xiaoying Zong
- Department of Nephrology, The Second Affiliated Hospital of Bengbu Medical College, 633 Longhua Road, Bengbu, 233017, China
| | - Li Liu
- Department of Nephrology, The Second People's Hospital of Hefei, 246 Heping Road, Hefei, 230012, China
| | - Jihui Fan
- Department of Nephrology, Huaibei People's Hospital, 66 Huaihai West Road, Huaibei, 235000, China
| | - Wei Wang
- Department of Nephrology, The People's Hospital of Xuancheng City, 51 Dabatang Road, Xuancheng, 242099, China
| | - Yong Zhang
- Department of Nephrology, Lujiang County Hospital of TCM, 350 Zhouyu Avenue, Lujiang County, 231501, China
| | - Guangcai Shi
- Department of Nephrology, The Fifth People's Hospital of Hefei, Yuxi Road, Hefei, 230011, China
| | - Deguang Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Shuman Tao
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
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12
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Yu DJ, Wing YK, Li TMH, Chan NY. The Impact of Social Media Use on Sleep and Mental Health in Youth: a Scoping Review. Curr Psychiatry Rep 2024; 26:104-119. [PMID: 38329569 PMCID: PMC10948475 DOI: 10.1007/s11920-024-01481-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/11/2024] [Indexed: 02/09/2024]
Abstract
PURPOSE OF REVIEW Social media use (SMU) and other internet-based technologies are ubiquitous in today's interconnected society, with young people being among the commonest users. Previous literature tends to support that SMU is associated with poor sleep and mental health issues in youth, despite some conflicting findings. In this scoping review, we summarized relevant studies published within the past 3 years, highlighted the impacts of SMU on sleep and mental health in youth, while also examined the possible underlying mechanisms involved. Future direction and intervention on rational use of SMU was discussed. RECENT FINDINGS Both cross-sectional and longitudinal cohort studies demonstrated the negative impacts of SMU on sleep and mental health, with preliminary evidence indicating potential benefits especially during the COVID period at which social restriction was common. However, the limited longitudinal research has hindered the establishment of directionality and causality in the association among SMU, sleep, and mental health. Recent studies have made advances with a more comprehensive understanding of the impact of SMU on sleep and mental health in youth, which is of public health importance and will contribute to improving sleep and mental health outcomes while promoting rational and beneficial SMU. Future research should include the implementation of cohort studies with representative samples to investigate the directionality and causality of the complex relationships among SMU, sleep, and mental health; the use of validated questionnaires and objective measurements; and the design of randomized controlled interventional trials to reduce overall and problematic SMU that will ultimately enhance sleep and mental health outcomes in youth.
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Affiliation(s)
- Danny J Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Tim M H Li
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
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13
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Zhang J, He M, Wang X, Jiang H, Huang J, Liang S. Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis. Sleep Breath 2024; 28:261-280. [PMID: 37642884 PMCID: PMC10954977 DOI: 10.1007/s11325-023-02905-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/03/2023] [Accepted: 08/11/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND The effects of sleep duration on the development of mental illness remain controversial. Therefore, it is necessary to identify the effects of long or short sleep duration on psychological disorders, which could reveal new ways for preventing and treating mental health conditions cheaply. METHODS Identifying published papers was accomplished by using the following five English databases on March 16, 2022: PubMed, MEDLINE, Embase, Web of Science databases, and Scopus. Cross-sectional and cohort studies were considered if they evaluated the association of sleep duration with all kinds of mental illness in adults. We excluded case reports, editorials, narrative reviews, and studies without detailed information on sleep duration. Summary effect-size estimates were expressed as risk ratios (RRs) or odds ratios (ORs) with 95% confidence intervals and were evaluated using random-effect models. Mantel-Haenszel's random-effects model was used to estimate the inconsistency index (I2) and Tau2 index (measurement of heterogeneity). RESULTS A total of 52 studies were included in this analysis, consisting of 14 cohort studies and 38 cross-sectional studies. These studies involved a combined sample size of 1,407,891 participants who met the inclusion criteria. Cohort (adjusted RR = 1.42, 95% CI: 1.26-1.60, P < .001, I2 = 37.6%, Tau2 = 0.014) and cross-sectional studies (adjusted OR = 1.67, 95% CI: 1.57-1.77, P < .001, I2 = 79.7%, Tau2 = 0.060) concluded that short sleep duration increased mental disorder risks. The same conclusions were acquired in the subgroup analysis, especially for depression (adjusted RR = 1.43, 95% CI: 1.24-1.65, P < .001, I2 = 80.4%, Tau2 = 0.082), anxiety (adjusted RR = 1.30, 95% CI: 1.04-1.63, P = .002, I2 = 0.0%, Tau2 = 0.000), and PTSD (adjusted RR = 1.35, 95% CI: 1.04-1.76, P = .022, I2 = 24.1%, Tau2 = 0.013) in cohort studies. The results of subgroup analysis indicated that long sleep duration was not a risk factor for depression (adjusted RR = 1.15, 95% CI: 0.98-1.34, P = .088, I2 = 63.4%, Tau2 = 0.045) and anxiety (adjusted RR = 1.37, 95% CI: 0.93-2.03, P = .114, I2 = 0.0%, Tau2 = 0.000). CONCLUSIONS Short sleep duration, not long sleep duration, is an independent predictor of developing mental disorders, particularly anxiety and depression.
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Affiliation(s)
- Jinhe Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mengyang He
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Xuan Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Hairong Jiang
- Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China
| | - Jinchang Huang
- Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China.
| | - Sixiang Liang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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14
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Vestergaard CL, Skogen JC, Hysing M, Harvey AG, Vedaa Ø, Sivertsen B. Sleep duration and mental health in young adults. Sleep Med 2024; 115:30-38. [PMID: 38330693 DOI: 10.1016/j.sleep.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/10/2024] [Accepted: 01/21/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND The association between sleep duration and mental illness has been established in middle-aged and older populations, yet remains less explored in younger adults. Additionally, a common limitation to existing studies is the lack of statistical power to explore less common disorders. The purpose of this study was to examine sleep duration as a predictor for a range of mental disorders and well-being in a longitudinal sample of young adults. METHODS Data were derived from two waves (w1, w2) of the SHoT survey, which invited all full-time university and college students in Norway. The response rates were 34.4 % (n = 62,498) in 2021 (w1) and 35.1 % (n = 59,554) 2022 (w2). This study utilized a nested longitudinal sample from both w1 and w2, encompassing 21,289 students. Demographics, sleep duration (w1), and mental health (w2) were measured by self-report questionnaires. Sex-stratified linear regression models and log-link binomial regression analyses were employed to determine the proportion and calculate the risk ratios, respectively, for mental illness across different sleep duration categories. RESULTS The mean age of the sample was 24.8 years ± 4.5 years (w1). Students with shorter sleep durations, and to some degree longer sleep durations (illustrating a ᒐ-shaped association), exhibited a higher risk for all assessed mental disorders and well-being outcomes one year later, compared to students sleeping 8-9 h. The ᒐ-shaped trend was consistent for both female and male students. CONCLUSION Sleep duration appears to be a transdiagnostic marker for mental health in young adults.
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Affiliation(s)
- Cecilie L Vestergaard
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway; Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway.
| | - Jens C Skogen
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway; Alcohol & Drug Research Western Norway, Stavanger University Hospital, Stavanger, Norway; Centre for Evaluation of Public Health Measures, Norwegian Institute of Public Health, Oslo, Norway
| | - Mari Hysing
- Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Allison G Harvey
- Department of Psychology, University of California, Berkeley, USA
| | - Øystein Vedaa
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway; Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway
| | - Børge Sivertsen
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway; Department of Research and Innovation, Helse-Fonna HF, Haugesund, Norway
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15
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Yavuz E, Gahnstrom CJ, Goodroe S, Coutrot A, Hornberger M, Lazar AS, Spiers HJ. Shorter self-reported sleep duration is associated with worse virtual spatial navigation performance in men. Sci Rep 2024; 14:4093. [PMID: 38374314 PMCID: PMC10876962 DOI: 10.1038/s41598-024-52662-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
Sleep has been shown to impact navigation ability. However, it remains unclear how different sleep-related variables may be independently associated with spatial navigation performance, and as to whether gender may play a role in these associations. We used a mobile video game app, Sea Hero Quest (SHQ), to measure wayfinding ability in US-based participants. Wayfinding performance on SHQ has been shown to correlate with real-world wayfinding. Participants were asked to report their sleep duration, quality, daytime sleepiness and nap frequency and duration on a typical night (n = 766, 335 men, 431 women, mean age = 26.5 years, range = 18-59 years). A multiple linear regression was used to identify which self-reported sleep variables were independently associated with wayfinding performance. Shorter self-reported sleep durations were significantly associated with worse wayfinding performance in men only. Other self-reported sleep variables showed non-significant trends of association with wayfinding performance. When removing non-typical sleepers (< 6 or > 9 h of sleep on a typical night), the significant association between sleep duration and spatial navigation performance in men was no longer present. These findings from U.S.-based participants suggest that a longer self-reported sleep duration may be an important contributor to successful navigation ability in men.
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Affiliation(s)
- Emre Yavuz
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
| | | | - Sarah Goodroe
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Alpar S Lazar
- Norwich Medical School, University of East Anglia, Norwich, UK.
| | - Hugo J Spiers
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
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16
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Novaes EMDFD, Aquino EML, Gabrielli L, Matos SMAD, Griep RH, Fonseca MDJMD, Almeida MDCCD, Patrão AL. [Body image perception, socioeconomic characteristics, and lifestyle in women participating in ELSA-Brasil in Bahia, Brazil]. CAD SAUDE PUBLICA 2024; 40:e00107823. [PMID: 38381869 PMCID: PMC10877697 DOI: 10.1590/0102-311xpt107823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/30/2023] [Accepted: 10/09/2023] [Indexed: 02/23/2024] Open
Abstract
Body image distortion is an alteration in the perception of the body that can have repercussions on health. This study aims to estimate the prevalence of body image accuracy and distortion among women participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) living in Bahia State, Brazil, and to investigate associations with socioeconomic characteristics, lifestyle, and gynecological care seeking. A total of 609 women aged 50 to 69 years participated in the study, who answered face-to-face questionnaires from 2012 to 2014. The Stunkard silhouette scale was used to investigate accurate or distorted perception for more or less weight. The relative risk ratio (RR) was calculated by multinomial logistic regression using Stata 13. Most participants have an accurate perception of their own bodies (53.7%). Among those with distorted perception, there is a tendency to distort towards less weight (38.1%). In the multinomial regression analysis, the variables race/skin color and education remained associated with the distortion towards underweight. The race/skin color variable was positively associated with the distortion towards underweight among Mixed-race women (RR = 1.89; 95%CI: 1.13-3.16) and black (RR = 2.10; 95%CI: 1.25-3.55), while the education variable among those with up to high school education (RR = 1.65; 95%CI: 1.18-2.33). There were no associations with the other variables or with distortion for more weight. The results contribute to explaining the relationships between body image perception and socioeconomic factors, revealing that women of different races/skin colors and varying educational levels are influenced in different ways by social discourses, impacting the perception of their body image.
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Affiliation(s)
| | - Estela M L Aquino
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil
| | - Ligia Gabrielli
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil
| | | | | | | | | | - Ana Luísa Patrão
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil
- Faculdade de Psicologia e de Ciências da Educação, Universidade do Porto, Porto, Portugal
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17
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Stolicyn A, Lyall LM, Lyall DM, Høier NK, Adams MJ, Shen X, Cole JH, McIntosh AM, Whalley HC, Smith DJ. Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohort. Sleep 2024; 47:zsad274. [PMID: 37889226 PMCID: PMC10851840 DOI: 10.1093/sleep/zsad274] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/22/2023] [Indexed: 10/28/2023] Open
Abstract
STUDY OBJECTIVES To assess for associations between sleeping more than or less than recommended by the National Sleep Foundation (NSF), and self-reported insomnia, with brain structure. METHODS Data from the UK Biobank cohort were analyzed (N between 9K and 32K, dependent on availability, aged 44 to 82 years). Sleep measures included self-reported adherence to NSF guidelines on sleep duration (sleeping between 7 and 9 hours per night), and self-reported difficulty falling or staying asleep (insomnia). Brain structural measures included global and regional cortical or subcortical morphometry (thickness, surface area, volume), global and tract-related white matter microstructure, brain age gap (difference between chronological age and age estimated from brain scan), and total volume of white matter lesions. RESULTS Longer-than-recommended sleep duration was associated with lower overall grey and white matter volumes, lower global and regional cortical thickness and volume measures, higher brain age gap, higher volume of white matter lesions, higher mean diffusivity globally and in thalamic and association fibers, and lower volume of the hippocampus. Shorter-than-recommended sleep duration was related to higher global and cerebellar white matter volumes, lower global and regional cortical surface areas, and lower fractional anisotropy in projection fibers. Self-reported insomnia was associated with higher global gray and white matter volumes, and with higher volumes of the amygdala, hippocampus, and putamen. CONCLUSIONS Sleeping longer than recommended by the NSF is associated with a wide range of differences in brain structure, potentially indicative of poorer brain health. Sleeping less than recommended is distinctly associated with lower cortical surface areas. Future studies should assess the potential mechanisms of these differences and investigate long sleep duration as a putative marker of brain health.
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Affiliation(s)
- Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Laura M Lyall
- School of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald M Lyall
- School of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Nikolaj Kjær Høier
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Copenhagen Research Center for Mental Health CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mark J Adams
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - James H Cole
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Heather C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Daniel J Smith
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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18
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Wei R, Ganglberger W, Sun H, Hadar P, Gollub R, Pieper S, Billot B, Au R, Eugenio Iglesias J, Cash SS, Kim S, Shin C, Westover MB, Joseph Thomas R. Linking brain structure, cognition, and sleep: insights from clinical data. Sleep 2024; 47:zsad294. [PMID: 37950486 PMCID: PMC10851868 DOI: 10.1093/sleep/zsad294] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
STUDY OBJECTIVES To use relatively noisy routinely collected clinical data (brain magnetic resonance imaging (MRI) data, clinical polysomnography (PSG) recordings, and neuropsychological testing), to investigate hypothesis-driven and data-driven relationships between brain physiology, structure, and cognition. METHODS We analyzed data from patients with clinical PSG, brain MRI, and neuropsychological evaluations. SynthSeg, a neural network-based tool, provided high-quality segmentations despite noise. A priori hypotheses explored associations between brain function (measured by PSG) and brain structure (measured by MRI). Associations with cognitive scores and dementia status were studied. An exploratory data-driven approach investigated age-structure-physiology-cognition links. RESULTS Six hundred and twenty-three patients with sleep PSG and brain MRI data were included in this study; 160 with cognitive evaluations. Three hundred and forty-two participants (55%) were female, and age interquartile range was 52 to 69 years. Thirty-six individuals were diagnosed with dementia, 71 with mild cognitive impairment, and 326 with major depression. One hundred and fifteen individuals were evaluated for insomnia and 138 participants had an apnea-hypopnea index equal to or greater than 15. Total PSG delta power correlated positively with frontal lobe/thalamic volumes, and sleep spindle density with thalamic volume. rapid eye movement (REM) duration and amygdala volume were positively associated with cognition. Patients with dementia showed significant differences in five brain structure volumes. REM duration, spindle, and slow-oscillation features had strong associations with cognition and brain structure volumes. PSG and MRI features in combination predicted chronological age (R2 = 0.67) and cognition (R2 = 0.40). CONCLUSIONS Routine clinical data holds extended value in understanding and even clinically using brain-sleep-cognition relationships.
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Affiliation(s)
- Ruoqi Wei
- Division of Pulmonary Critical Care & Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Wolfgang Ganglberger
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Sleep and Health Zurich, University of Zurich, Zurich, Switzerland
| | - Haoqi Sun
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Peter N Hadar
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Randy L Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | | | - Benjamin Billot
- Computer Science and Artificial Intelligence Lab, MIT, Boston, MA, USA
| | - Rhoda Au
- Anatomy& Neurobiology, Neurology, Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston University, Boston, MA, USA
| | - Juan Eugenio Iglesias
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
- Isomics, Inc. Cambridge, MA, USA
- Center for Medical Image Computing, University College London, London, UK
| | - Sydney S Cash
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Soriul Kim
- Institute of Human Genomic Study, College of Medicine, Kore University, Seoul, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, College of Medicine, Kore University, Seoul, Republic of Korea
- Biomedical Research Center, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - M Brandon Westover
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert Joseph Thomas
- Division of Pulmonary Critical Care & Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
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19
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Liang J, Wang Y, Zhu X, Hou X, Luo G, Li W, Liu J, Wang W, Wang J, Sun J, Yu F, Wu W, Pan W, Liu Z, Zhang Y. Short sleep duration is associated with worse quality of life in Parkinson's disease: A multicenter cross-sectional study. Sleep Med 2024; 114:182-188. [PMID: 38215669 DOI: 10.1016/j.sleep.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/16/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
OBJECTIVE To characterize sleep duration and investigate its association with quality of life among Parkinson's Disease (PD) patients. METHODS In this multicenter cross-sectional study, 970 PD patients were divided into five groups based on self-reported sleep duration: <5, ≥5 to <6, ≥6 to <7, ≥7 to ≤8, and >8 h. The quality of life was evaluated using the 39-Item Parkinson's Disease Questionnaire (PDQ-39). Multivariable linear regression analysis, subgroup analysis, and mediation analysis were conducted to examine the association between sleep duration and quality of life. RESULTS In multivariable linear regression model, patients with sleep duration (<5 h) had significantly higher PDQ-39 scores (β = 8.132, 95 % CI: 3.99 to 12.266), especially in mobility, activities of daily living, emotional well-being, stigma, social support, cognition, communication, and bodily discomfort (p < 0.05). The association between sleep duration (<5 h) and worse quality of life was more pronounced in patients with higher HY stage, longer disease duration, and sleep disorders. Moreover, a significant indirect effect of sleep duration (<5 h) on quality of life was observed, with UPDRS I, UPDRS II, and UPDRS IV scores acting as mediators. CONCLUSIONS Short sleep duration (<5 h) is associated with worse quality of life among PD patients. This association was stronger among patients with advanced PD and sleep disorders, while non-motor symptoms and motor complications were identified as significant mediators in this association. These findings highlight the significance of adequate sleep duration and suitable interventions for sleep may help improve quality of life.
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Affiliation(s)
- Jingxue Liang
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Yuhui Wang
- Department of Neurology, Shanghai Punan Hospital, Shanghai, 200125, China
| | - Xiaobo Zhu
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xiaojun Hou
- Department of Neurology, The Navy Medical University Affiliated Changhai Hospital, Shanghai, 200433, China
| | - Guojun Luo
- Department of Neurology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, 201599, China
| | - Wen Li
- Department of Neurology, Kong Jiang Hospital of Yangpu District, Shanghai, 200093, China
| | - Jun Liu
- Department of Neurology, Ruijin Hospital, Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Wenzhao Wang
- Health Management Center, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China
| | - Jianmin Wang
- Department of Neurology, Renhe Hospital, Baoshan District, Shanghai, 200431, China
| | - Jialan Sun
- Department of Neurology, Gongli Hospital, Pu Dong New Area, Shanghai, 200135, China
| | - Feng Yu
- Department of Neurology, Jiangwan Hospital, Hongkou District, Shanghai, 200081, China
| | - Weiwen Wu
- Department of Neurology, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, 201799, China
| | - Weidong Pan
- Department of Neurology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Zhenguo Liu
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Yu Zhang
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
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20
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Zhang J, Ma Z, Yang Y, Guo L, Du L. Modeling genotype-protein interaction and correlation for Alzheimer's disease: a multi-omics imaging genetics study. Brief Bioinform 2024; 25:bbae038. [PMID: 38348747 PMCID: PMC10939371 DOI: 10.1093/bib/bbae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/23/2023] [Accepted: 01/14/2024] [Indexed: 02/15/2024] Open
Abstract
Integrating and analyzing multiple omics data sets, including genomics, proteomics and radiomics, can significantly advance researchers' comprehensive understanding of Alzheimer's disease (AD). However, current methodologies primarily focus on the main effects of genetic variation and protein, overlooking non-additive effects such as genotype-protein interaction (GPI) and correlation patterns in brain imaging genetics studies. Importantly, these non-additive effects could contribute to intermediate imaging phenotypes, finally leading to disease occurrence. In general, the interaction between genetic variations and proteins, and their correlations are two distinct biological effects, and thus disentangling the two effects for heritable imaging phenotypes is of great interest and need. Unfortunately, this issue has been largely unexploited. In this paper, to fill this gap, we propose $\textbf{M}$ulti-$\textbf{T}$ask $\textbf{G}$enotype-$\textbf{P}$rotein $\textbf{I}$nteraction and $\textbf{C}$orrelation disentangling method ($\textbf{MT-GPIC}$) to identify GPI and extract correlation patterns between them. To ensure stability and interpretability, we use novel and off-the-shelf penalties to identify meaningful genetic risk factors, as well as exploit the interconnectedness of different brain regions. Additionally, since computing GPI poses a high computational burden, we develop a fast optimization strategy for solving MT-GPIC, which is guaranteed to converge. Experimental results on the Alzheimer's Disease Neuroimaging Initiative data set show that MT-GPIC achieves higher correlation coefficients and classification accuracy than state-of-the-art methods. Moreover, our approach could effectively identify interpretable phenotype-related GPI and correlation patterns in high-dimensional omics data sets. These findings not only enhance the diagnostic accuracy but also contribute valuable insights into the underlying pathogenic mechanisms of AD.
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Affiliation(s)
- Jin Zhang
- Department of Intelligent Science and Technology, Northwestern Polytechnical University School of Automation, 127 Youyi Road, 710072 Shaanxi, China
| | - Zikang Ma
- Department of Intelligent Science and Technology, Northwestern Polytechnical University School of Automation, 127 Youyi Road, 710072 Shaanxi, China
| | - Yan Yang
- Department of Intelligent Science and Technology, Northwestern Polytechnical University School of Automation, 127 Youyi Road, 710072 Shaanxi, China
| | - Lei Guo
- Department of Intelligent Science and Technology, Northwestern Polytechnical University School of Automation, 127 Youyi Road, 710072 Shaanxi, China
| | - Lei Du
- Department of Intelligent Science and Technology, Northwestern Polytechnical University School of Automation, 127 Youyi Road, 710072 Shaanxi, China
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21
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Wang Y, Tian Y, Long Z, Dong D, He Q, Qiu J, Feng T, Chen H, Tahmasian M, Lei X. Volume of the Dentate Gyrus/CA4 Hippocampal subfield mediates the interplay between sleep quality and depressive symptoms. Int J Clin Health Psychol 2024; 24:100432. [PMID: 38269356 PMCID: PMC10806754 DOI: 10.1016/j.ijchp.2023.100432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/26/2024] Open
Abstract
Background Emerging evidence increasingly suggests that poor sleep quality is associated with depressive symptoms. The hippocampus might play a crucial role in the interplay between sleep disturbance and depressive symptomatology, e.g., hippocampal atrophy is typically seen in both insomnia disorder and depression. Thus, examining the role of hippocampal volume in the interplay between poor sleep quality and depressive symptoms in large healthy populations is vital. Methods We investigated the association between self-reported sleep quality, depressive symptoms, and hippocampal total and subfields' volumes in 1603 healthy young adults from the Behavioral Brain Research Project. Mediation analysis explored the mediating role of hippocampal volumes between sleep quality and depressive symptoms. Results Self-reported sleep quality and depressive symptoms were positively correlated. In addition, it negatively related to three hippocampal subfields but not total hippocampal volume. In particular, hippocampal subfield DG and CA4 volumes mediated the interrelationship between poor sleep quality and depressive symptoms. Conclusions Our findings improved the current understanding of the relationship between sleep disturbance, depressive symptomatology, and hippocampal subfields in healthy populations. Considering the crucial role of DG in hippocampal neurogenesis, our results suggest that poor sleep quality may contribute to depression through a reduction of DG volume leading to impaired neurogenesis which is crucial for the regulation of mood.
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Affiliation(s)
- Yulin Wang
- Sleep and NeuroImaging Center, Faculty of psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yun Tian
- Sleep and NeuroImaging Center, Faculty of psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Masoud Tahmasian
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
- Department of Nuclear Medicine, University Hospital and Medical Faculty, University of Cologne, Cologne, Germany
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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22
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Canever JB, Cândido LM, Moreira BDS, Danielewicz AL, Cimarosti HI, Lima-Costa MF, Avelar NCPD. A nationwide study on sleep complaints and associated factors in older adults: ELSI-Brazil. CAD SAUDE PUBLICA 2023; 39:e00061923. [PMID: 38018640 PMCID: PMC10642241 DOI: 10.1590/0102-311xen061923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/13/2023] [Accepted: 07/13/2023] [Indexed: 11/30/2023] Open
Abstract
Sleep problems, such as difficulty falling asleep, staying asleep, early awakening with failure to continue sleep, and altered sleep-wake cycle, are common in the general population. This cross-sectional study with 6,929 older adults (≥ 60 years) aimed to estimate the prevalence of different types of sleep problems, their associated factors, and the population-attributable fraction of associated factors among older adults. The outcome variables consisted of self-reported sleep problems: insomnia (initial, intermediate, late, and any type of insomnia), poor sleep quality, and daytime sleepiness. The independent variables were sociodemographic and behavioral characteristics and health conditions. The prevalence proportions were initial insomnia (49.1%), intermediate insomnia (49.2%), late insomnia (45.9%), any type of insomnia (58.6%), poor sleep quality (15.6%), and daytime sleepiness (38.4%). Female sex, presence of two or more chronic diseases, not eating the recommended amount of fruits and vegetables, and regular and bad/very bad self-rated health were positively associated with the sleep problems investigated. Consuming alcohol once a month or more was inversely associated with initial insomnia. Population attributable fraction estimates ranged from 3% to 19% considering two or more chronic diseases, not eating the recommended amount of fruits and vegetables, and regular and bad/very bad self-rated health. High prevalence of self-reported sleep problems was evinced in older adults. These results can be useful to guide public health services in the creation of informational, evaluative, and screening strategies for sleep problems in older Brazilian adults.
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Affiliation(s)
- Jaquelini Betta Canever
- Centro de Ciências, Tecnologias e Saúde do Campus Araranguá, Universidade Federal de Santa Catarina, Araranguá, Brasil
| | - Letícia Martins Cândido
- Centro de Ciências, Tecnologias e Saúde do Campus Araranguá, Universidade Federal de Santa Catarina, Araranguá, Brasil
| | - Bruno de Souza Moreira
- Núcleo de Estudos em Saúde Pública e Envelhecimento, Fundação Oswaldo Cruz/Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
| | - Ana Lúcia Danielewicz
- Centro de Ciências, Tecnologias e Saúde do Campus Araranguá, Universidade Federal de Santa Catarina, Araranguá, Brasil
| | | | - Maria Fernanda Lima-Costa
- Núcleo de Estudos em Saúde Pública e Envelhecimento, Fundação Oswaldo Cruz/Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
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23
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Fjell AM, Sørensen Ø, Wang Y, Amlien IK, Baaré WFC, Bartrés-Faz D, Bertram L, Boraxbekk CJ, Brandmaier AM, Demuth I, Drevon CA, Ebmeier KP, Ghisletta P, Kievit R, Kühn S, Madsen KS, Mowinckel AM, Nyberg L, Sexton CE, Solé-Padullés C, Vidal-Piñeiro D, Wagner G, Watne LO, Walhovd KB. No phenotypic or genotypic evidence for a link between sleep duration and brain atrophy. Nat Hum Behav 2023; 7:2008-2022. [PMID: 37798367 PMCID: PMC10663160 DOI: 10.1038/s41562-023-01707-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/31/2023] [Indexed: 10/07/2023]
Abstract
Short sleep is held to cause poorer brain health, but is short sleep associated with higher rates of brain structural decline? Analysing 8,153 longitudinal MRIs from 3,893 healthy adults, we found no evidence for an association between sleep duration and brain atrophy. In contrast, cross-sectional analyses (51,295 observations) showed inverse U-shaped relationships, where a duration of 6.5 (95% confidence interval, (5.7, 7.3)) hours was associated with the thickest cortex and largest volumes relative to intracranial volume. This fits converging evidence from research on mortality, health and cognition that points to roughly seven hours being associated with good health. Genome-wide association analyses suggested that genes associated with longer sleep for below-average sleepers were linked to shorter sleep for above-average sleepers. Mendelian randomization did not yield evidence for causal impacts of sleep on brain structure. The combined results challenge the notion that habitual short sleep causes brain atrophy, suggesting that normal brains promote adequate sleep duration-which is shorter than current recommendations.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pii Sunyer, Barcelona, Spain
| | - Lars Bertram
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
- Institute of Sports Medicine Copenhagen, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging Working Group, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- UniDistance Suisse, Brig, Switzerland
- Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva, Switzerland
| | - Rogier Kievit
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, Oxford, UK
- Global Brain Health Institute, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
- Alzheimer's Association, Chicago, IL, USA
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pii Sunyer, Barcelona, Spain
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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24
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Wong ATY, Reeves GK, Floud S. Total sleep duration and daytime napping in relation to dementia detection risk: Results from the Million Women Study. Alzheimers Dement 2023; 19:4978-4986. [PMID: 37083147 PMCID: PMC10955772 DOI: 10.1002/alz.13009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 04/22/2023]
Abstract
INTRODUCTION There is inconsistent evidence on the associations of sleep duration and daytime napping with dementia risk. METHODS In the Million Women Study, a total of 830,716 women (mean age, 60 years) were asked about sleep duration (<7, 7-8, >8 hours) and daytime napping (rarely/never, sometimes, usually) in median year 2001, and were followed for the first hospital record with any mention of dementia. Cox regression estimated dementia detection risk ratios (RRs) during 17-year follow-up in 5-year intervals. RESULTS With 34,576 dementia cases, there was strong attenuation over follow-up in the RRs related to long sleep duration (>8 vs 7-8 hours) and usually napping (vs rarely/never). Short sleep duration was modestly, positively associated with dementia in the long term (RR = 1.08, 95% confidence interval [CI] 1.04-1.12). DISCUSSION There was little evidence to suggest that long sleep duration and regular napping are associated with long-term dementia risk. Short sleep duration was modestly associated with dementia risk, but residual confounding cannot be excluded. HIGHLIGHTS Long sleep duration was not associated with long-term dementia risk. Daytime napping was not associated with long-term dementia risk. There is some evidence for a small higher risk of dementia related to short sleep.
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Affiliation(s)
- Angel T. Y. Wong
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Gillian K. Reeves
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Sarah Floud
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
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25
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Xiang S, Jia T, Xie C, Cheng W, Chaarani B, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Desrivières S, Flor H, Grigis A, Gowland PA, Brühl R, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Garavan H, Schumann G, Sahakian BJ, Robbins TW, Feng J. Association between vmPFC gray matter volume and smoking initiation in adolescents. Nat Commun 2023; 14:4684. [PMID: 37582920 PMCID: PMC10427673 DOI: 10.1038/s41467-023-40079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 07/12/2023] [Indexed: 08/17/2023] Open
Abstract
Smoking of cigarettes among young adolescents is a pressing public health issue. However, the neural mechanisms underlying smoking initiation and sustenance during adolescence, especially the potential causal interactions between altered brain development and smoking behaviour, remain elusive. Here, using large longitudinal adolescence imaging genetic cohorts, we identify associations between left ventromedial prefrontal cortex (vmPFC) gray matter volume (GMV) and subsequent self-reported smoking initiation, and between right vmPFC GMV and the maintenance of smoking behaviour. Rule-breaking behaviour mediates the association between smaller left vmPFC GMV and smoking behaviour based on longitudinal cross-lagged analysis and Mendelian randomisation. In contrast, smoking behaviour associated longitudinal covariation of right vmPFC GMV and sensation seeking (especially hedonic experience) highlights a potential reward-based mechanism for sustaining addictive behaviour. Taken together, our findings reveal vmPFC GMV as a possible biomarker for the early stages of nicotine addiction, with implications for its prevention and treatment.
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Affiliation(s)
- Shitong Xiang
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Tianye Jia
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), ISTBI, Fudan University, Shanghai, China.
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Chao Xie
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Wei Cheng
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Bader Chaarani
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, C.E.A., Université Paris-Saclay, Gif-sur-Yvette, France
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS UMR9010, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 'Trajectoires développementales en psychiatrie', Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS UMR9010, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Gunter Schumann
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), ISTBI, Fudan University, Shanghai, China
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), Charité University Medicine Berlin, Berlin, Germany
| | - Barbara J Sahakian
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Trevor W Robbins
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
| | - Jianfeng Feng
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, United Kingdom.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
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26
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Wang Q, Lyu W, Zhou J, Yu C. Sleep condition detection and assessment with optical fiber interferometer based on machine learning. iScience 2023; 26:107244. [PMID: 37496677 PMCID: PMC10366502 DOI: 10.1016/j.isci.2023.107244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/21/2023] [Accepted: 06/26/2023] [Indexed: 07/28/2023] Open
Abstract
The prevalence of sleep disorders has increased because of the fast-paced and stressful modern lifestyle, negatively impacting the quality of human life and work efficiency. It is crucial to address sleep problems. However, the current practice of diagnosing sleep disorders using polysomnography (PSG) has limitations such as complexity, large equipment, and low portability, hindering its practicality for daily use. To overcome these challenges, in this article an optical fiber sensor is proposed as a viable solution for sleep monitoring. This device offers benefits like low power consumption, non-invasiveness, absence of interference, and real-time health monitoring. We introduce the sensor with an optical fiber interferometer to capture ballistocardiography (BCG) and electrocardiogram (ECG) signals from the human body. Furthermore, a new machine learning method is proposed for sleep condition detection. Experimental results demonstrate the superior performance of this architecture and the proposed model in monitoring and assessing sleep quality.
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Affiliation(s)
- Qing Wang
- Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Weimin Lyu
- Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Jing Zhou
- Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Changyuan Yu
- Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
- Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518057, China
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27
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Maté-Muñoz JL, Hernández-Lougedo J, Ruiz-Tovar J, Olivares-Llorente R, García-Fernández P, Zapata I. Physical Activity Levels, Eating Habits, and Well-Being Measures in Students of Healthcare Degrees in the Second Year of the COVID-19 Pandemic. Healthcare (Basel) 2023; 11:healthcare11111570. [PMID: 37297711 DOI: 10.3390/healthcare11111570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 05/19/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND When the first cases of COVID-19 (caused by SARS-CoV-2 virus infection) were discovered, exceptional norms to fight the spread of the virus were established by applying movement restrictions (lockdown) in many countries. These unprecedented norms led to sedentary behaviours and less healthy diets which could persist for much longer after lockdown. The aim of this study was to analyse the physical activity, eating habits, self-perceived well-being, and toxic habits, as well as the perceived changes of these habits with respect to the pre-pandemic period, in a population of university students in the second year of the COVID-19 pandemic. METHODS A single-centre, cross-sectional study was conducted in a population of university students of healthcare degrees. A total of 961 students (639 (66.5%) women and 322 (33.5%) men) signed the informed consent and completed the questionnaire. The study was conducted through an anonymous survey, which was voluntarily self-completed by the students on an online platform. The questionnaire was based on the Spanish Health Survey and it was divided into six main parts: demographic and anthropometric characteristics, physical activity, eating habits, well-being measures (sleeping habits, health state, and stress), toxic habits, and perception of the influence of the COVID-19 pandemic on the variables described. RESULTS AND CONCLUSIONS The results showed that, during the second year of the pandemic, statistically significant dependence was identified for those students that showed higher levels of physical activity with greater perceived physical activity (p < 0.05), healthier eating habits (p < 0.05), and a better self-perceived health state (p < 0.05), with respect to the 12 months before the COVID-19 pandemic. On the other hand, there was a negative correlation between the sedentary students and greater perceived physical activity (p < 0.05). With regard to toxic habits and physical activity, a significant correlation was only detected between sedentary behaviour and cocaine consumption (p < 0.05). Analysing eating habits, it was observed that the students who smoked, consumed alcohol, and binge drank had low adherence to the Mediterranean diet (p < 0.05). In addition, those students with high stress levels slept less than 7 h (p < 0.05).
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Affiliation(s)
- José Luis Maté-Muñoz
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain
| | - Juan Hernández-Lougedo
- Department of Physiotherapy, Faculty of Health Sciences, Camilo José Cela University, 28692 Madrid, Spain
| | - Jaime Ruiz-Tovar
- Department of Medicine, Alfonso X El Sabio University, 28691 Madrid, Spain
| | - Rafael Olivares-Llorente
- Department of Physical Activity and Sports Science, Alfonso X El Sabio University, 28691 Madrid, Spain
| | - Pablo García-Fernández
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain
| | - Irene Zapata
- Department of Medicine, Alfonso X El Sabio University, 28691 Madrid, Spain
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28
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Tsiknia AA, Parada H, Banks SJ, Reas ET. Sleep quality and sleep duration predict brain microstructure among community-dwelling older adults. Neurobiol Aging 2023; 125:90-97. [PMID: 36871334 PMCID: PMC10115563 DOI: 10.1016/j.neurobiolaging.2023.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 01/11/2023] [Accepted: 02/04/2023] [Indexed: 02/12/2023]
Abstract
Although poor sleep quality and extreme sleep durations have been associated with brain atrophy and dementia, it is unclear whether sleep disturbances contribute to neural injury in the absence of neurodegeneration and cognitive impairment. In 146 dementia-free older adults of the Rancho Bernardo Study of Healthy Aging (76.7 ± 7.8 years at MRI), we examined associations of restriction spectrum imaging metrics of brain microstructure with self-reported sleep quality 6.3 ± 0.7 years prior, and with sleep duration reported 25, 15 and 9 years prior. Worse sleep quality predicted lower white matter restricted isotropic diffusion and neurite density and higher amygdala free water, with stronger associations between poor sleep quality and abnormal microstructure for men. Among women only, short or long sleep duration 25 and 15 years before MRI predicted lower white matter restricted isotropic diffusion and increased free water. Associations persisted after accounting for associated health and lifestyle factors. Sleep patterns were not related to brain volume or cortical thickness. Optimizing sleep behaviors throughout the life-course may help to preserve healthy brain aging.
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Affiliation(s)
- Amaryllis A Tsiknia
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, San Diego State University, San Diego, CA, USA
| | - Sarah J Banks
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Emilie T Reas
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
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29
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Wang YF, Luo YF, Mhalgi A, Ren WY, Wu LF. Association of Self-Reported Sleep Characteristics and Hip Fracture: Observational and Mendelian Randomization Studies. Healthcare (Basel) 2023; 11:healthcare11070926. [PMID: 37046853 PMCID: PMC10094697 DOI: 10.3390/healthcare11070926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/16/2023] [Accepted: 03/17/2023] [Indexed: 04/14/2023] Open
Abstract
Previous observational studies on the relationship between sleep characteristics and fracture have yielded contradictory results. The goal of this study was to replicate the findings in a large longitudinal cohort and then conduct a Mendelian randomization (MR) analysis to infer the causality between sleep behaviors and fracture risk. Based on data from the China Health and Retirement Longitudinal Study (CHARLS) including 17,708 participants, we found that individuals with short sleep duration (<5 h) (OR [odds ratio] = 1.62, 95% CI: 1.07-2.44) or restless sleep (OR = 1.55, 95% CI: 1.10-2.19) have a higher risk of hip fracture. A U-shaped relationship between nighttime sleep duration and hip fracture risk (p-nonlinear = 0.01) was observed using restricted cubic spline regression analysis. Through joint effect analysis, we found that participants with short sleep duration (<5 h) combined with midday napping could significantly decrease hip fracture incidence. We further inferred the causal relationship between self-reported sleep behaviors and hip fracture using the MR approach. Among four sleep phenotypic parameters (sleep duration, daytime napping, chronotype, and insomnia), we found a modest causal relationship between sleep duration and fracture (OR = 0.69, 95% CI: 0.48 to 0.99, p = 0.04). However, no causal relationship was observed for other sleep traits. In conclusion, our findings suggest that short sleep duration has a potential detrimental effect on hip fracture. Improving sleep patterns is of significance for developing hip fracture preventive strategies in the middle-aged and the elderly populations.
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Affiliation(s)
- Yan-Fei Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou 215123, China
| | - Yu-Feng Luo
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou 215123, China
| | - Asmi Mhalgi
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Wen-Yan Ren
- Cambridge-Suda Genomic Resource Center, Jiangsu Key Laboratory of Neuropsychiatric Diseases, Medical College of Soochow University, Suzhou 215123, China
| | - Long-Fei Wu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou 215123, China
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30
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Mediating role of depressive symptoms on the relationship between sleep duration and cognitive function. Sci Rep 2023; 13:4067. [PMID: 36906644 PMCID: PMC10008529 DOI: 10.1038/s41598-023-31357-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 03/10/2023] [Indexed: 03/13/2023] Open
Abstract
Although some studies have shown the association between sleep duration and cognitive impairment is positive, the mechanism explaining how sleep duration is linked to cognition remains poor understood. The current study aims to explore it among Chinese population. A cross-sectional study of 12,589 participants aged 45 or over was conducted, cognition was assessed by three measures to capture mental intactness, episodic memory, and visuospatial abilities. The Center for Epidemiologic Studies Depression Scale 10 (CES-D10) was administered during the face-to-face survey to assess depressive status. Sleep duration was reported by the participants themselves. Partial correlation and linear regression were used to explore the association between sleep duration, cognition, and depression. The Bootstrap methods PROCESS program was used to detect the mediation effect of depression. Sleep duration was positively correlated with cognition and negatively with depression (p < 0.01). The CES-D10 score (r = - 0.13, p < 0.01) was negatively correlated with cognitive function. Linear regression analysis showed sleep duration was positively associated with cognition (p = 0.001). When depressive symptoms were considered, the association between sleep duration and cognition lost significance (p = 0.468). Depressive symptoms have mediated the relationship between sleep duration and cognitive function. The findings revealed that the relationship between sleep duration and cognition is mainly explained by depressive symptoms and may provide new ideas for interventions for cognitive dysfunction.
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31
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Zhang H, Zhang L, Chen C, Zhong X. Association between daytime napping and cognitive impairment among Chinese older population: a cross-sectional study. Environ Health Prev Med 2023; 28:72. [PMID: 37989282 PMCID: PMC10685077 DOI: 10.1265/ehpm.23-00031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 09/30/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Both napping and nighttime sleep duration have been reported to be associated with cognitive function in older adults, whereas little is known about the association between daytime napping and cognitive impairment in different nighttime sleep duration subgroups. This study aimed to explore the correlation between daytime napping and cognitive impairment across nighttime sleep duration subgroups. METHODS A cross-sectional study was conducted by using the fourth survey of China Health and Retirement Longitudinal Study (CHARLS). We utilized the Mini-Mental State Examination (MMSE) scale to define cognitive impairment, and the daytime napping and nighttime sleep duration was self-reported by individuals. We applied the Restricted Cubic Spline (RCS) to analysis the dose-response relationships between daytime napping and cognitive impairment. And the multivariate Logistic Regression Model (LRM) was performed to evaluate the association of daytime napping and cognitive impairment. RESULTS A total of 3,052 individuals were included, of which 769 were cognitive impairment. The RCS showed there were non-linear association between daytime napping and cognitive impairment in all participants group and longer nighttime sleep duration subgroup (PNon-linear < 0.05, PDaytime napping < 0.05). The LRM revealed no napping (OR = 1.62, 95%CI 1.14-2.30) and excessive napping (1.64 95%CI 1.09-2.48) were related to cognitive impairment in longer nighttime sleep duration subgroup. CONCLUSIONS Daytime napping had nonlinear association with cognitive impairment in Chinese elderly population. No napping and excessive daytime napping (>90 minutes) were related to cognitive impairment in participants with 7 and more hours nighttime sleep duration.
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Affiliation(s)
- Hong Zhang
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Lijuan Zhang
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Chen Chen
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Xiaoni Zhong
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
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32
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Zhang Y, Elgart M, Granot-Hershkovitz E, Wang H, Tarraf W, Ramos AR, Stickel AM, Zeng D, Garcia TP, Testai FD, Wassertheil-Smoller S, Isasi CR, Daviglus ML, Kaplan R, Fornage M, DeCarli C, Redline S, González HM, Sofer T. Genetic associations between sleep traits and cognitive ageing outcomes in the Hispanic Community Health Study/Study of Latinos. EBioMedicine 2023; 87:104393. [PMID: 36493726 PMCID: PMC9732133 DOI: 10.1016/j.ebiom.2022.104393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 11/18/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Sleep phenotypes have been reported to be associated with cognitive ageing outcomes. However, there is limited research using genetic variants as proxies for sleep traits to study their associations. We estimated associations between Polygenic Risk Scores (PRSs) for sleep duration, insomnia, daytime sleepiness, and obstructive sleep apnoea (OSA) and measures of cogntive ageing in Hispanic/Latino adults. METHODS We used summary statistics from published genome-wide association studies to construct PRSs representing the genetic basis of each sleep trait, then we studied the association of the PRSs of the sleep phenotypes with cognitive outcomes in the Hispanic Community Healthy Study/Study of Latinos. The primary model adjusted for age, sex, study centre, and measures of genetic ancestry. Associations are highlighted if their p-value <0.05. FINDINGS Higher PRS for insomnia was associated with lower global cognitive function and higher risk of mild cognitive impairment (MCI) (OR = 1.20, 95% CI [1.06, 1.36]). Higher PRS for daytime sleepiness was also associated with increased MCI risk (OR = 1.14, 95% CI [1.02, 1.28]). Sleep duration PRS was associated with reduced MCI risk among short and normal sleepers, while among long sleepers it was associated with reduced global cognitive function and with increased MCI risk (OR = 1.40, 95% CI [1.10, 1.78]). Furthermore, adjustment of analyses for the measured sleep phenotypes and APOE-ε4 allele had minor effects on the PRS associations with the cognitive outcomes. INTERPRETATION Genetic measures underlying insomnia, daytime sleepiness, and sleep duration are associated with MCI risk. Genetic and self-reported sleep duration interact in their effect on MCI. FUNDING Described in Acknowledgments.
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Affiliation(s)
- Yuan Zhang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Michael Elgart
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Einat Granot-Hershkovitz
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ariana M Stickel
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Tanya P Garcia
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Fernando D Testai
- Department of Neurology and Rehabilitation, University of Illinois College of Medicine at Chicago, Chicago, IL, USA
| | | | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Charles DeCarli
- Department of Neurology, Alzheimer's Disease Center, University of California, Davis, Sacramento, CA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hector M González
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Center, University of California, San Diego, La Jolla, CA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Differences in Subjective and Objective Cognitive Decline Outcomes Are Associated with Modifiable Protective Factors: A 4-Year Longitudinal Study. J Clin Med 2022; 11:jcm11247441. [PMID: 36556055 PMCID: PMC9785625 DOI: 10.3390/jcm11247441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/01/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Subjective cognitive decline (SCD) in older adults has been identified as a risk factor for dementia. However, the literature is inconsistent, and the underlying mechanisms are not well understood. We aimed to determine whether older adults with SCD had more modifiable protective factors against the risk of dementia and a lower risk of developing objective cognitive decline (OCD). We included 4363 older adults (71.7 ± 5.3 [mean ± standard deviation] years of age; 2239 women) from the National Center for Geriatrics and Gerontology Study of Geriatric Syndromes. SCD, OCD, and protective factors against dementia, such as lifestyle and activity, were assessed using interviews and objective cognitive-assessment tools. Based on initial cognitive status, participants were categorized into normal cognition, SCD-only, OCD-only, and both SCD and OCD groups. After 4 years, participants were classified as having either no impairment or mild or global cognitive impairment (i.e., OCD). Binomial logistic regression analyses were performed with the cognitive statuses of the groups at follow-up and baseline as the dependent and independent variables, respectively. After adjusting for potential confounding factors, we found that the SCD-only group had more modifiable protective factors against the risk of dementia than the OCD-only group. Community-dwelling older adults with normal cognition or those part of the SCD-only group had a lower risk of developing OCD during the 4-year follow-up, which may have been due to having more modifiable protective factors against the risk of dementia. Additionally, these factors may contribute to the inconsistencies in the literature on SCD outcomes.
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Wang HF, Zhang W, Rolls ET, Li Y, Wang L, Ma YH, Kang J, Feng J, Yu JT, Cheng W. Hearing impairment is associated with cognitive decline, brain atrophy and tau pathology. EBioMedicine 2022; 86:104336. [PMID: 36356475 PMCID: PMC9649369 DOI: 10.1016/j.ebiom.2022.104336] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/01/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Hearing impairment was recently identified as the most prominent risk factor for dementia. However, the mechanisms underlying the link between hearing impairment and dementia are still unclear. METHODS We investigated the association of hearing performance with cognitive function, brain structure and cerebrospinal fluid (CSF) proteins in cross-sectional, longitudinal, mediation and genetic association analyses across the UK Biobank (N = 165,550), the Chinese Alzheimer's Biomarker and Lifestyle (CABLE, N = 863) study, and the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 1770) database. FINDINGS Poor hearing performance was associated with worse cognitive function in the UK Biobank and in the CABLE study. Hearing impairment was significantly related to lower volume of temporal cortex, hippocampus, inferior parietal lobe, precuneus, etc., and to lower integrity of white matter (WM) tracts. Furthermore, a higher polygenic risk score (PRS) for hearing impairment was strongly associated with lower cognitive function, lower volume of gray matter, and lower integrity of WM tracts. Moreover, hearing impairment was correlated with a high level of CSF tau protein in the CABLE study and in the ADNI database. Finally, mediation analyses showed that brain atrophy and tau pathology partly mediated the association between hearing impairment and cognitive decline. INTERPRETATION Hearing impairment is associated with cognitive decline, brain atrophy and tau pathology, and hearing impairment may reflect the risk for cognitive decline and dementia as it is related to bran atrophy and tau accumulation in brain. However, it is necessary to assess the mechanism in future animal studies. FUNDING A full list of funding bodies that supported this study can be found in the Acknowledgements section.
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Affiliation(s)
- Hui-Fu Wang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Zhang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Edmund T Rolls
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK; Oxford Centre for Computational Neuroscience, Oxford, UK
| | | | - Yuzhu Li
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Linbo Wang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jujiao Kang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Zhangjiang Fudan International Innovation Center, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
| | - Wei Cheng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
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Zapata I, Maté-Muñoz JL, Higueras A, Hernández-Lougedo J, Martín-Fidalgo N, García-Fernández P, Redondo-Vega MV, Ruiz-Tovar J. Toxic Habits and Well-Being Measures in Spanish Healthcare University Students during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192013213. [PMID: 36293793 PMCID: PMC9603594 DOI: 10.3390/ijerph192013213] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 06/12/2023]
Abstract
BACKGROUND Unhealthy lifestyles are strongly entrenched in healthcare universities and have sometimes been linked to stress or lack of sleep. This study investigated the prevalence of toxic habits (smoking, patterns of harmful alcohol use, and illicit drug use), stress levels, perceived health status, and sleep duration and assessed the connections between toxic habits and said well-being measures, as well as healthcare students' perception of the influence of the COVID-19 pandemic on these health-related behaviors. METHODS In a cross-sectional study, healthcare students from Alfonso X University (Spain) completed a health survey composed of Alcohol Use Disorders Identification Test (AUDIT-C), Perceived Stress Scale (PSS-10), self-perceived health status, and the number of hours of sleep. RESULTS A total of 997 healthcare students completed the survey, of which 982 were analyzed. Being a smoker (32.2%) was associated with worse health status and insufficient sleep. Risk drinkers (33.2%) were associated with being female, and the consumption of cannabinoids (6.7%), with being male. These three toxic habits were related to each other. High levels of stress (28.2%) were correlated with worse ratings in the perception of health status (29.2%) and with insufficient sleep (45.8%), and all of them were associated with the female sex. Respectively, 49.3% and 44.2% of students recognized a worsening in their perception of stress and their sleep habits during the pandemic. CONCLUSION Healthcare universities must carry out health promotion programs for stress management, sleep habits, and unhealthy lifestyles.
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Affiliation(s)
- Irene Zapata
- Department of Medicine, Alfonso X El Sabio University, 28691 Madrid, Spain
| | - José Luis Maté-Muñoz
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain
| | | | - Juan Hernández-Lougedo
- Department of Physical Activity and Sports Science, Alfonso X El Sabio University, 28691 Madrid, Spain
| | | | - Pablo García-Fernández
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, 28040 Madrid, Spain
- IdISSC, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, 28040 Madrid, Spain
| | | | - Jaime Ruiz-Tovar
- Department of Medicine, Alfonso X El Sabio University, 28691 Madrid, Spain
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Siegel JM. Sleep function: an evolutionary perspective. Lancet Neurol 2022; 21:937-946. [PMID: 36115365 PMCID: PMC9670796 DOI: 10.1016/s1474-4422(22)00210-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 01/05/2022] [Accepted: 05/05/2022] [Indexed: 12/25/2022]
Abstract
Prospective epidemiological studies in industrial societies indicate that 7 h of sleep per night in people aged 18 years or older is optimum, with higher and lower amounts of sleep predicting a shorter lifespan. Humans living a hunter-gatherer lifestyle (eg, tribal groups) sleep for 6-8 h per night, with the longest sleep durations in winter. The prevalence of insomnia in hunter-gatherer populations is low (around 2%) compared with the prevalence of insomnia in industrial societies (around 10-30%). Sleep deprivation studies, which are done to gain insights into sleep function, are often confounded by the effects of stress. Consideration of the duration of spontaneous daily sleep across species of mammals, which ranges from 2 h to 20 h, can provide important insights into sleep function without the stress of deprivation. Sleep duration is not related to brain size or cognitive ability. Rather, sleep duration across species is associated with their ecological niche and feeding requirements, indicating a role for wake-sleep balance in food acquisition and energy conservation. Brain temperature drops from waking levels during non-rapid eye movement (non-REM) sleep and rises during REM sleep. Average daily REM sleep time of homeotherm orders is negatively correlated with average body and brain temperature, with the largest amount of REM sleep in egg laying (monotreme) mammals, moderate amounts in pouched (marsupial) mammals, lower amounts in placental mammals, and the lowest amounts in birds. REM sleep might, therefore, have a key role in the regulation of temperature and metabolism of the brain during sleep and in the facilitation of alert awakening.
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Affiliation(s)
- Jerome M Siegel
- Department of Psychiatry and Brain Research Institute, University of California, Los Angeles, CA, USA; Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
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Boolani A, Martin J, Huang H, Yu LF, Stark M, Grin Z, Roy M, Yager C, Teymouri S, Bradley D, Martin R, Fulk G, Kakar RS. Association between Self-Reported Prior Night's Sleep and Single-Task Gait in Healthy, Young Adults: A Study Using Machine Learning. SENSORS (BASEL, SWITZERLAND) 2022; 22:7406. [PMID: 36236511 PMCID: PMC9572361 DOI: 10.3390/s22197406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/18/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Failure to obtain the recommended 7−9 h of sleep has been associated with injuries in youth and adults. However, most research on the influence of prior night’s sleep and gait has been conducted on older adults and clinical populations. Therefore, the objective of this study was to identify individuals who experience partial sleep deprivation and/or sleep extension the prior night using single task gait. Participants (n = 123, age 24.3 ± 4.0 years; 65% female) agreed to participate in this study. Self-reported sleep duration of the night prior to testing was collected. Gait data was collected with inertial sensors during a 2 min walk test. Group differences (<7 h and >9 h, poor sleepers; 7−9 h, good sleepers) in gait characteristics were assessed using machine learning and a post-hoc ANCOVA. Results indicated a correlation (r = 0.79) between gait parameters and prior night’s sleep. The most accurate machine learning model was a Random Forest Classifier using the top 9 features, which had a mean accuracy of 65.03%. Our findings suggest that good sleepers had more asymmetrical gait patterns and were better at maintaining gait speed than poor sleepers. Further research with larger subject sizes is needed to develop more accurate machine learning models to identify prior night’s sleep using single-task gait.
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Affiliation(s)
- Ali Boolani
- Honors Program, Clarkson University, Potsdam, NY 13699, USA
| | - Joel Martin
- Sports Medicine Assessment Research & Testing (SMART) Laboratory, George Mason University, Manassas, VA 20110, USA
| | - Haikun Huang
- Department of Computer Science, George Mason University, Manassas, VA 20110, USA
| | - Lap-Fai Yu
- Department of Computer Science, George Mason University, Manassas, VA 20110, USA
| | - Maggie Stark
- Department of Medicine, Lake Erie College of Osteopathic Medicine, Elmira, NY 14901, USA
| | - Zachary Grin
- Honors Program, Clarkson University, Potsdam, NY 13699, USA
| | - Marissa Roy
- Sports Medicine Assessment Research & Testing (SMART) Laboratory, George Mason University, Manassas, VA 20110, USA
| | | | - Seema Teymouri
- Department of Engineering and Technology, State University of New York Canton, Canton, NY 13617, USA
| | - Dylan Bradley
- Department of Physical Therapy, Hanover College, Hanover, IN 47243, USA
| | - Rebecca Martin
- Department of Neurology, St. Joseph’s Hospital Health Center, Syracuse, NY 13203, USA
| | - George Fulk
- Department of Physical Therapy, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Rumit Singh Kakar
- Human Movement Science Department, Oakland University, Rochester, MI 48309, USA
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Henry JP. [Neurodegenerative diseases and brain aging]. Biol Aujourdhui 2022; 216:55-61. [PMID: 35876522 DOI: 10.1051/jbio/2022010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Neurodegenerative diseases such as Alzheimer's, Parkinson's or Amyotrophic Lateral Sclerosis are generally of sporadic origin, but the risk of being affected increases dramatically with age. Progress in understanding brain aging contributes to define precisely the relationships between aging associated physiological and pathological processes. Aging is induced by various stresses, which turn somatic cells to a senescent state. Senescent cells cannot divide but acquire a typical phenotype and release chemicals that trigger inflammation. In the brain, glial cells such as astrocytes or microglia as well as neurons are affected. Dendritic branching declines, resulting in a decrease of synaptic plasticity and cognitive performances, associated with brain aging. Aging alters also glymphatic washing, the process by which brain catabolites are eliminated. The neurodegenerative diseases are proteinopathies resulting from pathological conformations of physiological proteins. Normally washed by the glymphatic flux, these proteins accumulate and aggregate in its absence and then trigger neuron death.
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Association between sleep and multimorbidity in Chinese elderly: Results from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Sleep Med 2022; 98:1-8. [PMID: 35753186 DOI: 10.1016/j.sleep.2022.06.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/25/2022] [Accepted: 06/07/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Abnormal sleep duration and poor sleep quality were associated with multiple diseases. However, the association between sleep behavior (including sleep duration and quality) and multimorbidity among the elderly remains unclear. Thus, our study aimed to explore this association in the Chinese elderly. METHODS We conducted a cross-sectional study using data from the Chinese Longitudinal Healthy Longevity Survey (2014 wave). Nineteen chronic diseases were used to measure multimorbidity. Self-reported nighttime sleep duration and sleep quality were used as exposures. Multivariate logistic regression analysis and stratification were used to explore the association between sleep behavior and multimorbidity in different groups. Restrictive cubic splines were used to examine the exposure-response relationship. RESULTS Compared with those with nighttime sleep duration between 7 and 9 h, participants with shorter (<7 h) and longer (>9 h) sleep duration had a higher prevalence of multimorbidity (odds ratio [OR], 95% confidence interval [CI] were 1.38, 1.18-1.61 and 1.30, 1.09-1.56 respectively). Besides, poor sleep quality (OR = 2.25, 95% CI:1.82-2.72) and moderate sleep quality (OR = 1.35, 95% CI:1.16-1.58) were positively associated with multimorbidity. CONCLUSIONS Although the role of sleep behavior in multimorbidity has not been fully understood, this study highlighted the importance of normal nighttime sleep duration and good sleep quality in preventing multimorbidity.
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