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Nadarajah S, Akiba R, Maricar I, Vohra S, Jamal A, Yano Y, Srinivasan M, Kim G, Huang RJ, Palaniappan L, Kim K, Elfassy T, Yang E. Association Between Sleep Duration and Cardiovascular Disease Among Asian Americans. J Am Heart Assoc 2025; 14:e034587. [PMID: 39719431 DOI: 10.1161/jaha.124.034587] [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: 01/20/2024] [Accepted: 11/12/2024] [Indexed: 12/26/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) prevalence varies widely among Asian American adults. The American Heart Association added healthy sleep to its metrics to define ideal cardiovascular health. Little is known about the association between sleep and CVD prevalence among Asian subgroups. We aim to examine the association between suboptimal sleep duration and CVD risk prevalence among Asian American subgroups. METHODS AND RESULTS We used 2012 to 2018 National Health Interview Survey data to examine the association between suboptimal sleep duration and CVD prevalence. We included 6868 self-identifying Asian adults age >40 years (Asian Indian [n=1053], Chinese [n=1415], Filipino [n=1734], and Other Asian [n=2666] adults). Suboptimal sleep was defined as <7 or >9 hours per night. CVD was defined as self-reported stroke, heart attack, coronary artery disease, or angina. Logistic regression was used to calculate odds ratios and 95% CI to estimate the association between suboptimal sleep duration and CVD prevalence. Filipino and Other Asian participants with suboptimal sleep had the highest prevalence of CVD. Aggregated Asian American participants with suboptimal sleep duration had a higher prevalence of CVD (odds ratio [95% CI, 1.35 [1.09-1.68]) compared with those with optimal sleep duration. After stratification by race or ethnicity or both, a significant association persisted for Other Asian participants (1.77 [95% CI, 1.27-2.46]) but not among all other Asian American subgroups. CONCLUSIONS Our study highlights the heterogeneity of CVD prevalence associated with suboptimal sleep duration among Asian American adults. Future studies should consider how different measures of sleep duration and quality affect CVD outcomes among disaggregated Asian American subgroups.
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Affiliation(s)
- Santhosh Nadarajah
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Department of Molecular Biology Princeton University Princeton NJ USA
| | - Risa Akiba
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Department of Statistics University of Chicago IL USA
| | - Isabelle Maricar
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Department of Epidemiology George Washington University Milken Institute School of Public Health Washington DC USA
| | - Sanah Vohra
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- David Geffen School of Medicine at UCLA Los Angeles CA USA
| | - Armaan Jamal
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Department of Medicine Johns Hopkins University School of Medicine Baltimore MD USA
| | - Yuichiro Yano
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Department of Family Medicine and Community Health Duke University School of Medicine Durham NC USA
- Department of General Medicine Juntendo University Faculty of Medicine Tokyo Japan
| | - Malathi Srinivasan
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Primary Care and Population Health Stanford University School of Medicine Stanford CA USA
| | - Gloria Kim
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA
| | - Robert J Huang
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Gastroenterology and Hepatology Stanford University School of Medicine Stanford CA USA
| | - Latha Palaniappan
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA
| | - Karina Kim
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
| | - Tali Elfassy
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Nephrology and Hypertension University of Miami-Miller School of Medicine Miami FL USA
| | - Eugene Yang
- Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA USA
- Division of Cardiology University of Washington School of Medicine Seattle WA USA
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Yesilkaya UH, Chen X, Watford L, McCoy E, Sen M, Genc I, Du F, Ongur D, Yuksel C. Poor self-reported sleep is associated with prolonged white matter T2 relaxation in psychotic disorders. Front Psychiatry 2025; 15:1456435. [PMID: 39839134 PMCID: PMC11747379 DOI: 10.3389/fpsyt.2024.1456435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 12/09/2024] [Indexed: 01/23/2025] Open
Abstract
Background Psychotic disorders are characterized by white matter (WM) abnormalities; however, their relationship with the various aspects of illness presentation remains unclear. Sleep disturbances are common in psychosis, and emerging evidence suggests that sleep plays a critical role in WM physiology. Therefore, it is plausible that sleep disturbances are associated with impaired WM integrity in these disorders. To test this hypothesis, we examined the association of self-reported sleep disturbances with WM transverse (T2) relaxation times in a cross-diagnostic sample of patients with psychosis. Methods A total of 28 patients with psychosis (11 schizophrenia spectrum disorders and 17 bipolar disorder with psychotic features) were included. Metabolite (N-acetyl aspartate, choline, and creatine) and water T2 relaxation times were measured in the anterior corona radiata at 4T. Sleep was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Results PSQI total score showed a moderate to strong positive correlation with water T2 (r = 0.64, p< 0.001). Linear regressions showed that this association was independent of the overall severity of depressive, manic, or psychotic symptoms. In our exploratory analysis, sleep disturbance was correlated with free water percentage, suggesting that increased extracellular water may be a mechanism underlying the association of disturbed sleep and prolonged water T2 relaxation. Conclusion Our results highlight the connection between poor sleep and WM abnormalities in psychotic disorders. Future research using objective sleep measures and neuroimaging techniques suitable to probe free water is needed to further our insight into this relationship.
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Affiliation(s)
- Umit Haluk Yesilkaya
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
- Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Türkiye
| | - Xi Chen
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Lauren Watford
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
| | - Emma McCoy
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
| | - Meltem Sen
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
| | - Ilgin Genc
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
| | - Fei Du
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Dost Ongur
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Cagri Yuksel
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Ying ZQ, Li DL, Liang G, Yin ZJ, Li YZ, Ma R, Qin Y, Zheng YJ, Wang P, Pan CW. Reduced Health-Related Quality of Life Due to Mobile Phone Dependence in a Sample of Chinese College Students: The Mediating Role of Chronotype and Sleep Quality. Am J Health Promot 2024; 38:1153-1162. [PMID: 38831423 DOI: 10.1177/08901171241258375] [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] [Indexed: 06/05/2024]
Abstract
PURPOSE Presenting a chain mediation model to investigate whether mobile phone dependence results in a reduction in health-related quality of life (HRQoL) among Chinese college students, through the mediating effect of chronotype and sleep quality. DESIGN AND SETTING A cross-sectional survey was conducted on students from a Chinese university using a validated structured questionnaire. SAMPLE 2014 freshmen. MEASURES The study measured the students' level of mobile phone dependence using the Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use. Chronotype and sleep quality were measured by the Chinese version of the Morningness-Eveningness Questionnaire (MEQ) and the Pittsburgh Sleep Quality Index (PSQI), respectively. HRQoL was evaluated using the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L), including a descriptive system and a visual analog scale (VAS). ANALYSIS Descriptive statistical analysis, correlation analysis, and mediation analysis. RESULTS Mobile phone dependence had a significant negative effect on HRQoL as indicated by both the EQ-5D-5L index score and EQ-VAS score (P < .001 for both). Additionally, it was found to significantly predict chronotype (MEQ score) (β = -.546, P < .001) and sleep quality (PSQI score) (β = .163, P < .001). Chronotype negatively predict sleep quality (β = -.058, P < .001), and sleep quality was a significant negative predictor of HRQoL (EQ-5D-5L index score, β = -.008, P < .001; EQ-VAS score, β = -1.576, P < .001). CONCLUSION Mobile phone dependence negatively impacts students' HRQoL through chronotype and sleep quality, and there is a chain mediating effect. Students should consider making lifestyle changes to improve their HRQoL and promote health.
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Affiliation(s)
- Zhi-Qi Ying
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Dan-Lin Li
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Gang Liang
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Zhi-Jian Yin
- Department of Ophthalmology, The First Affiliated Hospital of Dali University, Dali, China
| | - Yue-Zu Li
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Rong Ma
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Yu Qin
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Ya-Jie Zheng
- Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Ophthalmology, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Pei Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China
| | - Chen-Wei Pan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
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Yesilkaya HU, Chen X, Watford L, McCoy E, Genc I, Du F, Ongur D, Yuksel C. Poor Self-Reported Sleep is Associated with Prolonged White Matter T2 Relaxation in Psychotic Disorders. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.03.601887. [PMID: 39005452 PMCID: PMC11244968 DOI: 10.1101/2024.07.03.601887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Background Schizophrenia (SZ) and bipolar disorder (BD) are characterized by white matter (WM) abnormalities, however, their relationship with illness presentation is not clear. Sleep disturbances are common in both disorders, and recent evidence suggests that sleep plays a critical role in WM physiology. Therefore, it is plausible that sleep disturbances are associated with impaired WM integrity in these disorders. To test this hypothesis, we examined the association of self-reported sleep disturbances with WM transverse (T2) relaxation times in patients with SZ spectrum disorders and BD with psychotic features. Methods 28 patients with psychosis (17 BD-I, with psychotic features and 11 SZ spectrum disorders) were included. Metabolite and water T2 relaxation times were measured in the anterior corona radiata at 4T. Sleep was evaluated using the Pittsburgh Sleep Quality Index. Results PSQI total score showed a moderate to strong positive correlation with water T2 (r = 0.64, p<0.001). Linear regressions showed that this association was specific to sleep disturbance but was not a byproduct of exacerbation in depressive, manic, or psychotic symptoms. In our exploratory analysis, sleep disturbance was correlated with free water percentage, suggesting that increased extracellular water may be a mechanism underlying the association of disturbed sleep and prolonged water T2 relaxation. Conclusion Our results highlight the connection between poor sleep and WM abnormalities in psychotic disorders. Future research using objective sleep measures and neuroimaging techniques suitable to probe free water is needed to further our insight into this relationship.
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Affiliation(s)
- Haluk Umit Yesilkaya
- McLean Hospital, Belmont, MA
- Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Xi Chen
- McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | | | | | | | - Fei Du
- McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Dost Ongur
- McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Cagri Yuksel
- McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
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Crouse JJ, Park SH, Hermens DF, Lagopoulos J, Park M, Shin M, Carpenter JS, Scott EM, Hickie IB. Chronotype and subjective sleep quality predict white matter integrity in young people with emerging mental disorders. Eur J Neurosci 2024; 59:3322-3336. [PMID: 38650167 DOI: 10.1111/ejn.16351] [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: 05/18/2023] [Revised: 12/13/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
Protecting brain health is a goal of early intervention. We explored whether sleep quality or chronotype could predict white matter (WM) integrity in emerging mental disorders. Young people (N = 364) accessing early-intervention clinics underwent assessments for chronotype, subjective sleep quality, and diffusion tensor imaging. Using machine learning, we examined whether chronotype or sleep quality (alongside diagnostic and demographic factors) could predict four measures of WM integrity: fractional anisotropy (FA), and radial, axial, and mean diffusivities (RD, AD and MD). We prioritised tracts that showed a univariate association with sleep quality or chronotype and considered predictors identified by ≥80% of machine learning (ML) models as 'important'. The most important predictors of WM integrity were demographics (age, sex and education) and diagnosis (depressive and bipolar disorders). Subjective sleep quality only predicted FA in the perihippocampal cingulum tract, whereas chronotype had limited predictive importance for WM integrity. To further examine links with mood disorders, we conducted a subgroup analysis. In youth with depressive and bipolar disorders, chronotype emerged as an important (often top-ranking) feature, predicting FA in the cingulum (cingulate gyrus), AD in the anterior corona radiata and genu of the corpus callosum, and RD in the corona radiata, anterior corona radiata, and genu of corpus callosum. Subjective quality was not important in this subgroup analysis. In summary, chronotype predicted altered WM integrity in the corona radiata and corpus callosum, whereas subjective sleep quality had a less significant role, suggesting that circadian factors may play a more prominent role in WM integrity in emerging mood disorders.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Minji Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mirim Shin
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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Lorenzo K, Gee G, de Castro B, Zhao Z, Yan J, Hussein N, Yip T. Everyday Discrimination and Sleep Among Migrant and Non-migrant Filipinos: Longitudinal Analyses from the Health of Philippine Emigrants Study (HoPES). J Immigr Minor Health 2024; 26:304-315. [PMID: 37843725 DOI: 10.1007/s10903-023-01554-6] [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] [Accepted: 10/02/2023] [Indexed: 10/17/2023]
Abstract
This study aimed to (1) identify differences in sleep patterns between Filipino migrants and non-migrants across 2 years and (2) explore the impact of discrimination trajectories on sleep trajectories. The Health of Philippine Emigrants Study (HoPES) consisted of a migrant (n = 832) and non-migrant cohort (n = 805), with baseline data collected in the Philippines. Both cohorts were followed longitudinally, with the non-migrants followed in the Philippines and the migrant cohort followed to the United States. Sleep duration, quality, and difficulty were assessed with the National Institutes of Health Patient-Reported Outcomes Information System (PROMIS) inventory, and discrimination was measured with an adapted version of the Everyday Discrimination scale. Migrants reported a faster decline in sleep duration (- 12 min a year) but higher sleep quality than non-migrants over 2 years. Migrants who reported high initial levels of everyday discrimination also reported faster declines in sleep duration and a slower decline in sleep difficulty. Further, migrants who reported stable (versus declining) levels of discrimination over 2 years reported a faster decline in sleep quality. These results speak to the complexity of immigrant health patterns and long-term associations between discrimination and sleep processes.
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Affiliation(s)
- Kyle Lorenzo
- Department of Psychology, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA.
| | - Gilbert Gee
- UCLA Fielding School of Public Health, 650 Charles E. Young Drive South, Los Angeles, CA, 90095-1772, USA
| | - Butch de Castro
- University of Washington School of Nursing, Box 357260, Seattle, WA, 98195, USA
| | - Zhenqiang Zhao
- Department of Psychology, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
| | - Jinjin Yan
- Department of Psychology, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
| | - Natalie Hussein
- Department of Psychology, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
| | - Tiffany Yip
- Department of Psychology, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
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Cooper R, Di Biase MA, Bei B, Allen NB, Schwartz O, Whittle S, Cropley V. Development of morning-eveningness in adolescence: implications for brain development and psychopathology. J Child Psychol Psychiatry 2023; 64:449-460. [PMID: 36325967 PMCID: PMC10952670 DOI: 10.1111/jcpp.13718] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/14/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Morning-evening preference is defined as an individual's preference for a morning- or evening-oriented rhythm. Across adolescence, a preference for eveningness becomes more predominant. Although eveningness is cross-sectionally associated with internalizing and externalizing psychopathology, few studies have examined developmental changes in eveningness and its potential biological substrates. Here, we investigated the longitudinal relationships among the trajectory of eveningness preference, internalizing and externalizing psychopathology and white matter development, across adolescence. METHODS Two-hundred and nine adolescents (49% male) were assessed longitudinally at four separate time points between 12 and 19 years of age. Morning-evening preference and internalizing and externalizing symptoms were assessed at each time point. Diffusion-weighted images were acquired on a subset of participants at the final two time points to estimate changes in global mean fractional anisotropy (FA). Linear mixed models were performed to estimate the change in eveningness over time. A series of linear regression models assessed the influence of change in eveningness on psychopathology and white matter development at age 19. RESULTS Across the sample, a preference for eveningness became more predominant by 19 years of age. Greater individual-level change towards eveningness significantly predicted greater severity in externalizing, but not internalizing, symptoms at 19 years of age. In contrast, change in psychopathology from 12 to 19 years of age was not associated with morning-eveningness at age 19. A change towards eveningness predicted an attenuated increase in FA between 17 and 19 years of age. CONCLUSIONS This study suggests that developmental changes in morning-evening preference may predict both neurodevelopmental and psychological outcomes in adolescents.
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Affiliation(s)
- Rebecca Cooper
- Melbourne Neuropsychiatry CentreThe University of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
| | - Maria A. Di Biase
- Melbourne Neuropsychiatry CentreThe University of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Bei Bei
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | | | - Orli Schwartz
- Orygen Centre for Youth Mental HealthMelbourneVictoriaAustralia
| | - Sarah Whittle
- Melbourne Neuropsychiatry CentreThe University of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
| | - Vanessa Cropley
- Melbourne Neuropsychiatry CentreThe University of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
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The Effect of Learning Burnout on Sleep Quality in Primary School Students: The Mediating Role of Mental Health. Healthcare (Basel) 2022; 10:healthcare10102076. [PMID: 36292523 PMCID: PMC9602333 DOI: 10.3390/healthcare10102076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/09/2022] [Accepted: 10/13/2022] [Indexed: 11/17/2022] Open
Abstract
Due to the growth of research on sleep, mental health, and learning burnout on healthy growth and its related public health significance of adolescents, this study aimed to provide a deeper understanding of the effect of mental health and learning burnout on sleep among primary school students. The sleep quality (subjective sleep quality, sleep time, sleep latency, sleep duration, sleep efficiency, sleep disturbance, and daytime dysfunction), mental health, and learning burnout (exhaustion, learning cynicism, and reduced efficacy) of 900 students of grades 3–6 in primary schools were assessed in 2020. The PSQI scores of participants were 4.19 ± 2.545, of which a number of 322 (39.03%) students had sleep disturbance (PSQI scores ≧ 5). Binary logistic regression analysis showed that screen time (OR = 1.518, 95% CI: 1.164–1.980), ranking status (OR = 0.659, 95% CI: 0.480–0.907), learning burnout (OR = 1.088, 95% CI: 1.067–1.108), and mental health (OR = 4.672, 95% CI: 1.954–11.173) were the influencing factors for sleep quality of grade 3–6 students. According to the mediation effect analyses, mental health played a mediating effect (58.73% of the total effect) on the relationship between learning burnout and sleep quality. In conclusion, primary school students in Hunan of China have prominent sleep problems, and the daytime dysfunction caused by sleep problems is the most serious. Learning burnout positively predicted poorer sleep quality, and mental health played a mediating effect on the relationship between learning burnout and sleep quality.
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Meng P, Pan C, Cheng S, Li C, Yao Y, Liu L, Cheng B, Yang X, Zhang Z, Chen Y, Zhang J, Zhang H, Wen Y, Jia Y, Guo X, Zhang F. Evaluating the role of rare genetic variation in sleep duration. Sleep Health 2022; 8:536-541. [PMID: 35907708 DOI: 10.1016/j.sleh.2022.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/22/2022] [Accepted: 05/24/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To explore the roles of rare and high-impact variants in sleep duration. DESIGN Based on the recently released UK Biobank 200k exome dataset, an exome-wide association study was conducted to detect rare variants (minor allele frequency <0.01) contributing to sleep duration. Variant annotations were performed by the software tool ANNOVAR. Gene-based burden tests of sleep duration were conducted by the SKAT R-package. After quality control, 137,047 subjects were included in this study. CAUSALdb database was used to explore the related mental traits of identified genes. RESULTS We detected 730,572 variants with MAF < 1%, including 3873 frameshift variants, 3977 nonframeshift variants, 449,632 nonsynonymous variants, 1293 startloss variants, 10,254 stopgain variants, 413 stoploss variants, 261,130 synonymous variants, and 3102 variants are annotated as unknown. The burden test of exonic variants detected two exome-wide significant associations for sleep duration including TMIE at 3p21.31 (PBonferroni adjusted = 0.015) and ZIC2 at 13q32.3 (PBonferroni adjusted = 0.047). There are only nonsynonymous contained in TMIE; as for ZIC2, we detected 2 annotations of variants: nonsynonymous (PBonferroni adjusted =2.04 × 10-4) and nonframeshift (PBonferroni adjusted =0.85). TMIE and ZIC2 were reported to be associated with several mental traits, such as chronotype, depression, and brain natriuretic peptide in published study. CONCLUSION This study reported 2 novel candidate genes for a sleep duration, supporting the roles of rare genetic variants in the regulation of sleep duration.
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Affiliation(s)
- Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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Tahmasian M, Aleman A, Andreassen OA, Arab Z, Baillet M, Benedetti F, Bresser T, Bright J, Chee MW, Chylinski D, Cheng W, Deantoni M, Dresler M, Eickhoff SB, Eickhoff CR, Elvsåshagen T, Feng J, Foster-Dingley JC, Ganjgahi H, Grabe HJ, Groenewold NA, Ho TC, Hong SB, Houenou J, Irungu B, Jahanshad N, Khazaie H, Kim H, Koshmanova E, Kocevska D, Kochunov P, Lakbila-Kamal O, Leerssen J, Li M, Luik AI, Muto V, Narbutas J, Nilsonne G, O’Callaghan VS, Olsen A, Osorio RS, Poletti S, Poudel G, Reesen JE, Reneman L, Reyt M, Riemann D, Rosenzweig I, Rostampour M, Saberi A, Schiel J, Schmidt C, Schrantee A, Sciberras E, Silk TJ, Sim K, Smevik H, Soares JC, Spiegelhalder K, Stein DJ, Talwar P, Tamm S, Teresi GI, Valk SL, Van Someren E, Vandewalle G, Van Egroo M, Völzke H, Walter M, Wassing R, Weber FD, Weihs A, Westlye LT, Wright MJ, Wu MJ, Zak N, Zarei M. ENIGMA-Sleep: Challenges, opportunities, and the road map. J Sleep Res 2021; 30:e13347. [PMID: 33913199 PMCID: PMC8803276 DOI: 10.1111/jsr.13347] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 12/26/2022]
Abstract
Neuroimaging and genetics studies have advanced our understanding of the neurobiology of sleep and its disorders. However, individual studies usually have limitations to identifying consistent and reproducible effects, including modest sample sizes, heterogeneous clinical characteristics and varied methodologies. These issues call for a large-scale multi-centre effort in sleep research, in order to increase the number of samples, and harmonize the methods of data collection, preprocessing and analysis using pre-registered well-established protocols. The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium provides a powerful collaborative framework for combining datasets across individual sites. Recently, we have launched the ENIGMA-Sleep working group with the collaboration of several institutes from 15 countries to perform large-scale worldwide neuroimaging and genetics studies for better understanding the neurobiology of impaired sleep quality in population-based healthy individuals, the neural consequences of sleep deprivation, pathophysiology of sleep disorders, as well as neural correlates of sleep disturbances across various neuropsychiatric disorders. In this introductory review, we describe the details of our currently available datasets and our ongoing projects in the ENIGMA-Sleep group, and discuss both the potential challenges and opportunities of a collaborative initiative in sleep medicine.
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Affiliation(s)
- Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - André Aleman
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Zahra Arab
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Marion Baillet
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Tom Bresser
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Joanna Bright
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Michael W.L. Chee
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Daphne Chylinski
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Wei Cheng
- Institute of Science and Technology for Brain-inspired intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | - Michele Deantoni
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty,, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Claudia R. Eickhoff
- Institute of Neuroscience and Medicine, Structural and functional organisation of the brain (INM-1), Research Centre Jülich, Jülich, Germany
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jessica C. Foster-Dingley
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Habib Ganjgahi
- Department of Statistics, University of Oxford, Oxford, UK
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Nynke A. Groenewold
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Tiffany C. Ho
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Seung Bong Hong
- Department of Neurology, Samsung Medical Center, SBRI (Samsung Biomedical Research Institute), Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Josselin Houenou
- Univ Paris Saclay, NeuroSpin neuroimaging platform, Psychiatry Team, UNIACT Lab, CEA Saclay, Gif-Sur-Yvette Cedex, France
- DMU IMPACT de Psychiatrie et d'Addictologie, APHP, Hôpitaux Universitaires Mondor, Créteil, France
- Univ Paris Est Créteil, INSERM U 955, IMRB Team 15 « Translational Neuropsychiatry », Foundation FondaMental, Créteil, France
| | - Benson Irungu
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hosung Kim
- Laboratory of Neuro Imaging at USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Ekaterina Koshmanova
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Desi Kocevska
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Oti Lakbila-Kamal
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Vincenzo Muto
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden
| | | | - Alexander Olsen
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ricardo S. Osorio
- Healthy Brain Aging and Sleep Center, Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Sara Poletti
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Govinda Poudel
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Vic., Australia
| | - Joyce E. Reesen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Mathilde Reyt
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, UK
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Masoumeh Rostampour
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Julian Schiel
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Christina Schmidt
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Emma Sciberras
- Department of Paediatrics, University of Melbourne, Parkville, Vic., Australia
- Murdoch Children's Research Institute, Parkville, Vic., Australia
- School of Psychology, Deakin University, Geelong, Vic., Australia
| | - Tim J. Silk
- Department of Paediatrics, University of Melbourne, Parkville, Vic., Australia
- Murdoch Children's Research Institute, Parkville, Vic., Australia
- School of Psychology, Deakin University, Geelong, Vic., Australia
| | - Kang Sim
- Institute of Mental Health, Buangkok, Singapore
| | - Hanne Smevik
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jair C. Soares
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Puneet Talwar
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Sandra Tamm
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Giana I. Teresi
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Sofie L. Valk
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty,, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Eus Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
- Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, Cyclotron Research Center/In Vivo Imaging, Sleep and Chronobiology Lab, University of Liège, Liège, Belgium
| | - Henry Völzke
- Institute for Community Medicine, Department SHIP/Clinical Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Greifswald, Germany
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory, Otto von Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Rick Wassing
- Department of Sleep and Circadian Research, Woolcock Institute of Medical Research, The University of Sydney, Sydney, Australia
| | - Frederik D. Weber
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Lars Tjelta Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- K.G Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Margaret J. Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, Qld, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, Qld, Australia
| | - Mon-Ju Wu
- Department of Psychology and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Nathalia Zak
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Inst of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
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11
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Grydeland H, Sederevičius D, Wang Y, Bartrés-Faz D, Bertram L, Dobricic V, Düzel S, Ebmeier KP, Lindenberger U, Nyberg L, Pudas S, Sexton CE, Solé-Padullés C, Sørensen Ø, Walhovd KB, Fjell AM. Self-reported sleep relates to microstructural hippocampal decline in ß-amyloid positive Adults beyond genetic risk. Sleep 2021; 44:zsab110. [PMID: 33912975 PMCID: PMC8598196 DOI: 10.1093/sleep/zsab110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/16/2021] [Indexed: 12/01/2022] Open
Abstract
STUDY OBJECTIVES A critical role linking sleep with memory decay and β-amyloid (Aβ) accumulation, two markers of Alzheimer's disease (AD) pathology, may be played by hippocampal integrity. We tested the hypotheses that worse self-reported sleep relates to decline in memory and intra-hippocampal microstructure, including in the presence of Aβ. METHODS Two-hundred and forty-three cognitively healthy participants, aged 19-81 years, completed the Pittsburgh Sleep Quality Index once, and two diffusion tensor imaging sessions, on average 3 years apart, allowing measures of decline in intra-hippocampal microstructure as indexed by increased mean diffusivity. We measured memory decay at each imaging session using verbal delayed recall. One session of positron emission tomography, in 108 participants above 44 years of age, yielded 23 Aβ positive. Genotyping enabled control for APOE ε4 status, and polygenic scores for sleep and AD, respectively. RESULTS Worse global sleep quality and sleep efficiency related to more rapid reduction of hippocampal microstructure over time. Focusing on efficiency (the percentage of time in bed at night spent asleep), the relation was stronger in presence of Aβ accumulation, and hippocampal integrity decline mediated the relation with memory decay. The results were not explained by genetic risk for sleep efficiency or AD. CONCLUSIONS Worse sleep efficiency related to decline in hippocampal microstructure, especially in the presence of Aβ accumulation, and Aβ might link poor sleep and memory decay. As genetic risk did not account for the associations, poor sleep efficiency might constitute a risk marker for AD, although the driving causal mechanisms remain unknown.
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Affiliation(s)
- Håkon Grydeland
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Donatas Sederevičius
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Lars Bertram
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Lars Nyberg
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | | | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Øystein Sørensen
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
| | - Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
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Boye Larsen D, Laursen M, Simonsen O, Arendt-Nielsen L, Petersen KK. The association between sleep quality, preoperative risk factors for chronic postoperative pain and postoperative pain intensity 12 months after knee and hip arthroplasty. Br J Pain 2021; 15:486-496. [PMID: 34840796 PMCID: PMC8611299 DOI: 10.1177/20494637211005803] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Chronic postoperative pain following total joint replacement (TJA) is a substantial clinical problem, and poor sleep may affect predictive factors for postoperative pain, such as pain catastrophizing. However, the magnitude of these associations is currently unknown. This exploratory study investigated (1) the relationship between preoperative sleep quality, clinical pain intensity, pain catastrophizing, anxiety, and depression and (2) their associations with chronic postoperative pain following TJA. METHODS This secondary analysis from a larger randomized controlled trial included rest pain intensity (preoperative and 12 months postoperative; visual analogue scale, VAS), preoperative Pittsburgh Sleep Quality Index (PSQI), Pain Catastrophizing Scale (PCS), Hospital Anxiety and Depression Scale (HADS) data from 74 knee and 89 hip osteoarthritis (OA) patients scheduled for TJA. Poor sleepers were identified based on preoperative PSQI scores higher than 5. RESULTS Poor sleepers demonstrated higher preoperative VAS, pain catastrophizing, anxiety, and depression compared with good sleepers (all p < 0.003). Preoperative PSQI (β = 0.23, p = 0.006), PCS (β = 0.44, p < 0.005), and anxiety (β = 0.18, p = 0.036) were independent factors for preoperative VAS. Preoperative VAS (β = 0.32, p < 0.005), but not preoperative sleep quality (β = -0.06, p = 0.5), was an independent factor for postoperative VAS. CONCLUSION The OA patients reporting poor preoperative sleep quality show higher preoperative pain, pain catastrophizing, anxiety, and depression. High preoperative pain intensity, but not poor sleep quality, was associated with higher chronic postoperative pain intensity. Future studies are encouraged to explore associations between sleep and chronic postoperative pain.
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Affiliation(s)
- Dennis Boye Larsen
- SMI, Department of Health Science and
Technology, School of Medicine, Aalborg University, Aalborg, Denmark
- Center for Neuroplasticity and Pain
(CNAP), SMI, Department of Health Science and Technology, School of Medicine,
Aalborg University, Aalborg, Denmark
| | - Mogens Laursen
- Orthopaedic Surgery Research Unit,
Aalborg University Hospital, Aalborg, Denmark
| | - Ole Simonsen
- Orthopaedic Surgery Research Unit,
Aalborg University Hospital, Aalborg, Denmark
| | - Lars Arendt-Nielsen
- SMI, Department of Health Science and
Technology, School of Medicine, Aalborg University, Aalborg, Denmark
- Center for Neuroplasticity and Pain
(CNAP), SMI, Department of Health Science and Technology, School of Medicine,
Aalborg University, Aalborg, Denmark
| | - Kristian Kjær Petersen
- SMI, Department of Health Science and
Technology, School of Medicine, Aalborg University, Aalborg, Denmark
- Center for Neuroplasticity and Pain
(CNAP), SMI, Department of Health Science and Technology, School of Medicine,
Aalborg University, Aalborg, Denmark
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Association between Regular Exercise and Self-Rated Health and Sleep Quality among Adults in Japan during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910515. [PMID: 34639823 PMCID: PMC8507649 DOI: 10.3390/ijerph181910515] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/28/2021] [Accepted: 10/02/2021] [Indexed: 12/03/2022]
Abstract
Regular exercise may be associated with better self-rated health and sleep status. However, this correlation among various age groups, such as young, middle-aged, and older people, as well as during the COVID-19 pandemic, has not been examined. This study examined the correlation between regular exercise and self-rated health and sleep quality among adults in Japan during the COVID-19 pandemic. Data were collected using an online survey conducted between February 26 and 27, 2021. A total of 1410 adults in Japan (age range, 20–86 years) completed the online survey. Regular exercise was divided into: (1) more than 30 min of moderate exercise a day, (2) more than 2 days per week, and (3) continuous for 1 year or longer. Self-rated health and sleep quality were assessed using the Likert scale. After adjusting for multiple confounders, regular exercise was correlated with decreased poor self-rated health and poor sleep quality in middle-aged adults; however, no significant correlation was observed among young and older adults. The promotion of regular exercise among middle-aged people during the COVID-19 pandemic may contribute to better self-rated health and sleep quality status.
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14
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Molt F, Torres P, Flores V, Valladares C, Ibáñez JL, Cortés M. Trastornos del sueño en emergencias y desastres. REVISTA MÉDICA CLÍNICA LAS CONDES 2021. [PMCID: PMC8635449 DOI: 10.1016/j.rmclc.2021.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Los trastornos del sueño son frecuentes en la población y una causa importante de morbilidad. El objetivo de esta revisión es evaluar las alteraciones del sueño en periodos de emergencia y desastres. A lo largo de la historia, la esfera biopsicosocial y el sueño de las personas ha sido abrumada por múltiples eventos a gran escala, tales como desastres naturales, tragedias provocadas por el hombre, conflictos bélicos, crisis sociales y pandemias, cuya experiencia puede derivar en problemas de salud a corto, mediano y/o largo plazo. En los estudios analizados, se ha observado el impacto negativo de las emergencias y desastres en el sueño, por lo que ha cobrado gran relevancia la difusión y promoción de medidas que incentiven el buen dormir. Debido a la llegada del COVID-19 y a la situación de confinamiento por periodos prolongados en el hogar para prevenir su propagación, han surgido importantes consecuencias a nivel social. Ciertos factores ocupacionales y características de los desastres se asocian a mayor comorbilidad, un alto riesgo de experimentar agotamiento físico, trastornos psicológicos e insomnio en grupos altamente vulnerables, como lo son los profesionales de la salud, rescatistas y socorristas. El insomnio es el trastorno de sueño más frecuente en la población general y su empeoramiento en el contexto de pandemia por COVID-19 representa un nuevo problema en salud pública. Es por ello, que es indispensable promover campañas de prevención de salud física y mental orientados a la pesquisa precoz y manejo de patologías de la esfera psicosocial, dentro de las posibilidades socioeconómicas.
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Lee KS, Kim JI, Choi YJ, Cho J, Lim YH, Kim BN, Shin CH, Lee YA, Hong YC. Association Between Sleep Duration and Intelligence Quotient in 6-Year-Old Children. Int J Behav Med 2021; 29:57-68. [PMID: 34080127 DOI: 10.1007/s12529-021-09996-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Sufficient sleep during childhood is important for cognitive functions such as learning and successful school performance. This study aimed to investigate the effects of sleep duration on the intelligence quotient (IQ) of 6-year-old children and aimed to analyze whether these effects differed by sex. METHODS The IQ of 538 6-year-old Korean participants from the cohort study, "The Environment and Development of Children," was measured during follow-up using the Korean Educational Developmental Institute's Wechsler Intelligence Scale for Children. The total, verbal, and performance IQ scores were evaluated. The relationship between sleep duration and IQ scores after adjusting for maternal age, maternal educational level, maternal occupation, maternal IQ, exposure to secondhand smoking, gestational age, and monthly age and birth season was also assessed. RESULTS Longer sleep duration was significantly associated with improved verbal IQ measures (β 0.55; p value 0.030). After stratifying participants by sex, a significant association was observed between sleep duration and total, verbal, and performance IQ scores in boys (total IQ 2.49, p value 0.012; verbal IQ 0.75, p value: 0.037; performance IQ 0.73, p value 0.048), but not in girls. CONCLUSIONS The results indicated that only boys show a significant association between IQ scores and sleep duration. These findings support the hypothesis that sleep duration is associated with IQ, in a sex dependent manner. Future studies are needed for a thorough evaluation of the connection between sleep duration and health outcome in young children.
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Affiliation(s)
- Kyung-Shin Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.,Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea
| | - Johanna Inhyang Kim
- Department of Psychiatry, Hanyang University Medical Center, Seoul, Republic of Korea
| | - Yoon-Jung Choi
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.,Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea
| | - Jinwoo Cho
- Department of Statistics, University of Pittsburgh, Pittsburgh, USA
| | - Youn-Hee Lim
- Department of Public Health, Section of Environmental Health, University of Copenhagen, Copenhagen, Denmark.,Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, South Korea
| | - Bung-Nyun Kim
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Korea
| | - Choong Ho Shin
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea
| | - Young Ah Lee
- Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea. .,Environmental Health Center, Seoul National University College of Medicine, Seoul, Korea. .,Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
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16
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Neumann N, Lotze M, Domin M. Sex-specific association of poor sleep quality with gray matter volume. Sleep 2021; 43:5788209. [PMID: 32140718 DOI: 10.1093/sleep/zsaa035] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 02/15/2020] [Indexed: 12/12/2022] Open
Abstract
STUDY OBJECTIVES Previous studies were inconsistent with regard to the association of sleep dysfunction on the brain's gray matter volume (GMV). The current study set out to investigate if there is a moderating effect of sex on the relationship between sleep quality in healthy individuals and GMV. METHODS We applied voxel-based morphometry in 1,074 young adults of the "Human Connectome Project." An analysis of variance with the factors "sleep quality" (good/poor according to the Pittsburgh Sleep Quality Index, cutoff >5) and "sex" (male, female) on GMV was conducted. Additionally, linear relationships between sleep quality and GMV were tested. RESULTS The analysis of variance yielded no main effect for sleep quality, but an interaction between sex and sleep quality for the right superior frontal gyrus. Post hoc t-tests showed that female good sleepers in comparison to female poor sleepers had larger GMV in the right parahippocampal gyrus extending to the right hippocampus (whole-brain family-wise error [FWE]-corrected), as well as smaller GMV in the right inferior parietal lobule (whole-brain FWE-corrected) and the right inferior temporal gyrus (whole brain FWE-corrected). There were no significant effects when comparing male good sleepers to male poor sleepers. Linear regression analyses corroborated smaller GMV in the right parahippocampal gyrus in women with poor sleep quality. CONCLUSIONS Poor sleep quality was associated with altered GMV in females, but not in males. Future studies are needed to investigate the neurobiological mechanisms that underlie the sex differences in the association of sleep quality and brain differences found in this study.
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Affiliation(s)
- Nicola Neumann
- Institute of Diagnostic Radiology and Neuroradiology, Functional Imaging Unit, University Medicine Greifswald, Greifswald, Germany
| | - Martin Lotze
- Institute of Diagnostic Radiology and Neuroradiology, Functional Imaging Unit, University Medicine Greifswald, Greifswald, Germany
| | - Martin Domin
- Institute of Diagnostic Radiology and Neuroradiology, Functional Imaging Unit, University Medicine Greifswald, Greifswald, Germany
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17
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Evidence of Genetic Overlap Between Circadian Preference and Brain White Matter Microstructure. Twin Res Hum Genet 2021; 24:1-6. [PMID: 33663638 DOI: 10.1017/thg.2021.4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Several neuroimaging studies have reported associations between brain white matter microstructure and chronotype. However, it is unclear whether those phenotypic relationships are causal or underlined by genetic factors. In the present study, we use genetic data to examine the genetic overlap and infer causal relationships between chronotype and diffusion tensor imaging (DTI) measures. We identify 29 significant pairwise genetic correlations, of which 13 also show evidence for a causal association. Genetic correlations were identified between chronotype and brain-wide mean, axial and radial diffusivities. When exploring individual tracts, 10 genetic correlations were observed with mean diffusivity, 10 with axial diffusivity, 4 with radial diffusivity and 2 with mode of anisotropy. We found evidence for a possible causal association of eveningness with white matter microstructure measures in individual tracts including the posterior limb and the retrolenticular part of the internal capsule; the genu and splenium of the corpus callosum and the posterior, superior and anterior regions of the corona radiata. Our findings contribute to the understanding of how genes influence circadian preference and brain white matter and provide a new avenue for investigating the role of chronotype in health and disease.
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18
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Li C, Schreiber J, Bittner N, Li S, Huang R, Moebus S, Bauer A, Caspers S, Elmenhorst D. White Matter Microstructure Underlies the Effects of Sleep Quality and Life Stress on Depression Symptomatology in Older Adults. Front Aging Neurosci 2020; 12:578037. [PMID: 33281597 PMCID: PMC7691589 DOI: 10.3389/fnagi.2020.578037] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 10/23/2020] [Indexed: 11/18/2022] Open
Abstract
Sleep complaints are the most prevalent syndromes in older adults, particularly in women. Moreover, they are frequently accompanied with a high level of depression and stress. Although several diffusion tensor imaging (DTI) studies reported associations between sleep quality and brain white matter (WM) microstructure, it is still unclear whether gender impacts the effect of sleep quality on structural alterations, and whether these alterations mediate the effects of sleep quality on emotional regulation. We included 389 older participants (176 females, age = 65.5 ± 5.5 years) from the 1000BRAINS project. Neuropsychological examinations covered the assessments of sleep quality, depressive symptomatology, current stress level, visual working memory, and selective attention ability. Based on the DTI dataset, the diffusion parameter maps, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD), were calculated and normalized to a population-specific FA template. According to the global Pittsburgh Sleep Quality Index (PSQI), 119 poor sleepers (PSQI: 10∼17) and 120 good sleepers (PSQI: 3∼6) were identified. We conducted a two by two (good sleepers/poor sleepers) × (males/females) analysis of variance by using tract-based spatial statistics (TBSS) and JHU-ICBM WM atlas-based comparisons. Moreover, we performed a voxel-wise correlation analysis of brain WM microstructure with the neuropsychological tests. Finally, we applied a mediation analysis to explore if the brain WM microstructure mediates the relationship between sleep quality and emotional regulation. No significant differences in brain WM microstructure were detected on the main effect of sleep quality. However, the MD, AD, and RD of pontine crossing tract and bilateral inferior cerebellar peduncle were significant lower in the males than females. Voxel-wise correlation analysis revealed that FA and RD values in the corpus callosum were positively related with depressive symptomatology and negatively related with current stress levels. Additionally, we found a significantly positive association between higher FA values in visual-related WM tracts and better outcomes in a visual pattern recognition test. Furthermore, a mediation analysis suggested that diffusion metrics within the corpus callosum partially mediated the associations between poor sleep quality/high stress and depressive symptomatology.
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Affiliation(s)
- Changhong Li
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany.,Department of Neurophysiology, Institute of Zoology, RWTH Aachen University, Aachen, Germany
| | - Jan Schreiber
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany
| | - Nora Bittner
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Shumei Li
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ruiwang Huang
- Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Andreas Bauer
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany.,Department of Neurological, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
| | - David Elmenhorst
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, Jülich, Germany
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19
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Araki R, Sasaki K, Onda H, Nakamura S, Kassai M, Kaneko T, Isoda H, Hashimoto K. Effects of Continuous Intake of Rosemary Extracts on Mental Health in Working Generation Healthy Japanese Men: Post-Hoc Testing of a Randomized Controlled Trial. Nutrients 2020; 12:nu12113551. [PMID: 33233510 PMCID: PMC7699484 DOI: 10.3390/nu12113551] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 11/09/2020] [Accepted: 11/18/2020] [Indexed: 11/16/2022] Open
Abstract
We previously performed a 4 week interventional trial that suggested that continuous intake of rosemary extract improves the mood states, fatigue, and cognitive function of working generation healthy adult Japanese men. However, the severity of depression in participants in our previous study was relatively mild. Therefore, in the present study, a post-hoc analysis of our previous study was conducted, limited to participants whose total mood disturbance (TMD) scores, which indicate greater mood disturbance, were above the median at baseline, to evaluate whether rosemary extract was effective for individuals with poor mental health. Following the intervention, the scores of TMD and “Confusion-Bewilderment” were significantly decreased (both p < 0.05), and scores of “Vigor-Activity” were significantly increased in the rosemary group (n = 8) compared with those in the control group (n = 13; p < 0.01). When comparing the scores from pre- and post-intervention, significant improvements in “Tension-Anxiety”, “Vigor-Activity”, “Fatigue on awakening”, “Daytime sleepiness”, and “Psychomotor speed” were observed in the rosemary group only (all p < 0.05). Based on these results, it was expected that rosemary extracts were effective for improving the mental energy and sleep quality of work-age men with poor mental health.
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Affiliation(s)
- Risa Araki
- Department of Clinical and Translational Research Methodology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8575, Japan;
- R&D Center for Tailor-Made QOL, University of Tsukuba, 1-2 Kasuga, Tsukuba 305-8550, Japan;
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (Food-Med OIL), AIST-University of Tsukuba, 1-1-1 Higashi, Tsukuba 305-8565, Japan;
| | - Kazunori Sasaki
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (Food-Med OIL), AIST-University of Tsukuba, 1-1-1 Higashi, Tsukuba 305-8565, Japan;
- Faculty of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8571, Japan
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan
| | - Hiroyuki Onda
- S&B FOODS INC., 38-8 Miyamoto-cho, Itabashi-ku, Tokyo 174-8651, Japan; (H.O.); (S.N.); (M.K.)
| | - Syunsuke Nakamura
- S&B FOODS INC., 38-8 Miyamoto-cho, Itabashi-ku, Tokyo 174-8651, Japan; (H.O.); (S.N.); (M.K.)
| | - Masahiro Kassai
- S&B FOODS INC., 38-8 Miyamoto-cho, Itabashi-ku, Tokyo 174-8651, Japan; (H.O.); (S.N.); (M.K.)
| | - Toshiyuki Kaneko
- Tokyo Skytree Station Medical Clinic, 3-33-13 Sumida-ku, Tokyo 131-0033, Japan;
| | - Hiroko Isoda
- R&D Center for Tailor-Made QOL, University of Tsukuba, 1-2 Kasuga, Tsukuba 305-8550, Japan;
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (Food-Med OIL), AIST-University of Tsukuba, 1-1-1 Higashi, Tsukuba 305-8565, Japan;
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan
- Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan
| | - Koichi Hashimoto
- Department of Clinical and Translational Research Methodology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8575, Japan;
- Correspondence: ; Tel.: +81-298-53-3064
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20
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Sloan RA, Kanchibhotla D. The association of Sudarshan Kriya Yoga frequency with sleep quality: a cross-sectional study from Singapore. Sleep Breath 2020; 25:1665-1669. [DOI: 10.1007/s11325-020-02240-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/25/2020] [Accepted: 10/31/2020] [Indexed: 12/13/2022]
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21
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Labad J, Salvat-Pujol N, Armario A, Cabezas Á, de Arriba-Arnau A, Nadal R, Martorell L, Urretavizcaya M, Monreal JA, Crespo JM, Vilella E, Palao DJ, Menchón JM, Soria V. The Role of Sleep Quality, Trait Anxiety and Hypothalamic-Pituitary-Adrenal Axis Measures in Cognitive Abilities of Healthy Individuals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207600. [PMID: 33086584 PMCID: PMC7589840 DOI: 10.3390/ijerph17207600] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 12/27/2022]
Abstract
Sleep plays a crucial role in cognitive processes. Sleep and wake memory consolidation seem to be regulated by glucocorticoids, pointing out the potential role of the hypothalamic-pituitary-adrenal (HPA) axis in the relationship between sleep quality and cognitive abilities. Trait anxiety is another factor that is likely to moderate the relationship between sleep and cognition, because poorer sleep quality and subtle HPA axis abnormalities have been reported in people with high trait anxiety. The current study aimed to explore whether HPA axis activity or trait anxiety moderate the relationship between sleep quality and cognitive abilities in healthy individuals. We studied 203 healthy individuals. We measured verbal and visual memory, working memory, processing speed, attention and executive function. Sleep quality was assessed with the Pittsburgh Sleep Quality Index. Trait anxiety was assessed with the State-Trait Anxiety Inventory. HPA axis measures included the cortisol awakening response (CAR), diurnal cortisol slope and cortisol levels during the day. Multiple linear regression analyses explored the relationship between sleep quality and cognition and tested potential moderating effects by HPA axis measures and trait anxiety. Poor sleep quality was associated with poorer performance in memory, processing speed and executive function tasks. In people with poorer sleep quality, a blunted CAR was associated with poorer verbal and visual memory and executive functions, and higher cortisol levels during the day were associated with poorer processing speed. Trait anxiety was a moderator of visual memory and executive functioning. These results suggest that subtle abnormalities in the HPA axis and higher trait anxiety contribute to the relationship between lower sleep quality and poorer cognitive functioning in healthy individuals.
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Affiliation(s)
- Javier Labad
- Consorci Sanitari del Maresme, 08340 Mataró, Spain;
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
| | - Neus Salvat-Pujol
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Antonio Armario
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Ángel Cabezas
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Aida de Arriba-Arnau
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Roser Nadal
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Lourdes Martorell
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Mikel Urretavizcaya
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - José Antonio Monreal
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Crespo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Diego José Palao
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Virginia Soria
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
- Correspondence:
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22
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Grumbach P, Opel N, Martin S, Meinert S, Leehr EJ, Redlich R, Enneking V, Goltermann J, Baune BT, Dannlowski U, Repple J. Sleep duration is associated with white matter microstructure and cognitive performance in healthy adults. Hum Brain Mapp 2020; 41:4397-4405. [PMID: 32648625 PMCID: PMC7502839 DOI: 10.1002/hbm.25132] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 01/01/2023] Open
Abstract
Reduced sleep duration and sleep deprivation have been associated with cognitive impairment as well as decreased white matter integrity as reported by experimental studies. However, it is largely unknown whether differences in sleep duration and sleep quality might affect microstructural white matter and cognition. Therefore, the present study aims to examine the cross-sectional relationship between sleep duration, sleep quality, and cognitive performance in a naturalistic study design, by focusing on the association with white matter integrity in a large sample of healthy, young adults. To address this, 1,065 participants, taken from the publicly available sample of the Human Connectome Project, underwent diffusion tensor imaging. Moreover, broad cognitive performance measures (NIH Cognition Toolbox) and sleep duration and quality (Pittsburgh Sleep Quality Index) were assessed. The results revealed a significant positive association between sleep duration and overall cognitive performance. Shorter sleep duration significantly correlated with fractional anisotropy (FA) reductions in the left superior longitudinal fasciculus (SLF). In turn, FA in this tract was related to measures of cognitive performance and was shown to significantly mediate the association of sleep duration and cognition. For cognition only, associations shift to a negative association of sleep duration and cognition for participants sleeping more than 8 hr a day. Investigations into subjective sleep quality showed no such associations. The present study showed that real-world differences in sleep duration, but not subjective sleep quality are related to cognitive performance measures and white matter integrity in the SLF in healthy, young adults.
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Affiliation(s)
| | - Nils Opel
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | - Stella Martin
- Department of EconomicsUniversity of MünsterMünsterGermany
| | | | | | - Ronny Redlich
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | | | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryMelbourne Medical School, The University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
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23
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Kohyama J. Associations of adolescents' lifestyle habits with their daytime functioning in Japan. Sleep Sci 2020; 13:286-292. [PMID: 33564375 PMCID: PMC7856661 DOI: 10.5935/1984-0063.20190151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 05/04/2020] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE To assess associations of adolescents' lifestyle habits with their daytime functioning in Japan. METHODS A total of 2,722 questionnaires obtained from pupils in grades 5 to 12 in Japan were assessed by the multiple comparison test to determine significant differences in the lifestyle habits among the self-reported academic performance categories (AP1: very good; AP2: good; AP3: not good; AP4: poor). RESULTS The average non-school-day screen time of AP4 pupils was significantly longer than that of AP1 pupils in elementary and junior high schools. In junior and senior high schools, AP4 pupils showed more sleepiness and higher occurrence of breakfast skipping than AP2 pupils. In all school types, sleep duration showed no significant differences among the self-reported academic performance categories. DISCUSSION Avoiding sleepiness, breakfast skipping, and heavy media usage is expected to ensure adolescents' daytime functioning. Although not studied here, napping might improve adolescents' daytime functioning.
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Affiliation(s)
- Jun Kohyama
- Tokyo Bay Urayasu Ichikawa Medical Centre, Sleep medicine - Urayasu - Chiba - Japan
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24
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Suda M, Nagamitsu S, Obara H, Shimomura G, Ishii R, Yuge K, Shimomura K, Kurokawa M, Matsuishi T, Yamagata Z, Kakuma T, Yamashita Y. Association between children's sleep patterns and problematic behaviors at age 5. Pediatr Int 2020; 62:1189-1196. [PMID: 32335978 DOI: 10.1111/ped.14267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 04/12/2020] [Accepted: 04/21/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Night-shift lifestyles affect children as well as adults, and are associated with sleep and behavioral problems among children. This study aimed to investigate associations among sleep patterns, individual/environmental factors, and problematic behaviors in children at age 5 years. METHODS Data for sleep patterns, individual / environmental factors, and problematic behaviors for 8,689 5-year-old children were collected from health-checkup records. Problematic behaviors investigated were anxious behavior (being afraid, difficulty being separated from the mother), developmental behavior (violence, restlessness, rebellious behavior, restrictive diet, stereotypic play), personal habits (thumb-sucking, nail-biting, tic, masturbation), and excretory problems. The relationships between sleep patterns (bedtime, sleep duration) and the presence of these behaviors were analyzed. Individual / environmental factors that affected problematic behaviors were statistically identified using a tree-form model. RESULTS Late bedtime and short sleep duration showed significant adverse effects on children's problematic behaviors - odds ratio (OR): 1.07, 95% confidence interval (CI): 1.03-1.11 and OR: 0.92, 95% CI: 0.87-0.97, respectively. Long television watching time, abnormality at birth, and lack of father's support also showed significant adverse effects on problematic behaviors (OR: 2.34, 95% CI: 1.87-2.94), and significantly affected late bedtime and short sleep duration. CONCLUSIONS There were significant associations among sleep patterns, individual / environmental factors, and problematic behaviors in 5-year-old children. Improving children's sleep patterns, reducing the duration of television watching, and improving support from fathers may reduce problematic behaviors.
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Affiliation(s)
- Masao Suda
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Shinichiro Nagamitsu
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Hitoshi Obara
- Biostatistics Center, Kurume University, Kurume, Japan
| | - Go Shimomura
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Ryuta Ishii
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Kotaro Yuge
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
| | - Kunihisa Shimomura
- Research Centre for Children and Research Centre for Rett Syndrome, St Mary's Hospital, Kurume, Japan
| | - Michiko Kurokawa
- Research Centre for Children and Research Centre for Rett Syndrome, St Mary's Hospital, Kurume, Japan
| | - Toyojiro Matsuishi
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan.,Pediatric Association of Fukuoka District System, Fukuoka, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, School of Medicine, University of Yamanashi, Yamanashi, Japan
| | | | - Yushiro Yamashita
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, Japan
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25
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Mohajer B, Abbasi N, Mohammadi E, Khazaie H, Osorio RS, Rosenzweig I, Eickhoff CR, Zarei M, Tahmasian M, Eickhoff SB. Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing. Hum Brain Mapp 2020; 41:3034-3044. [PMID: 32239749 PMCID: PMC7336142 DOI: 10.1002/hbm.24995] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 02/29/2020] [Accepted: 03/09/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) and sleep-disordered breathing (SDB) are prevalent conditions with a rising burden. It is suggested that SDB may contribute to cognitive decline and advanced aging. Here, we assessed the link between self-reported SDB and gray matter volume in patients with AD, mild cognitive impairment (MCI) and healthy controls (HCs). We further investigated whether SDB was associated with advanced brain aging. We included a total of 330 participants, divided based on self-reported history of SDB, and matched across diagnoses for age, sex and presence of the Apolipoprotein E4 allele, from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Gray-matter volume was measured using voxel-wise morphometry and group differences in terms of SDB, cognitive status, and their interaction were assessed. Further, using an age-prediction model fitted on gray-matter data of external datasets, we predicted study participants' age from their structural images. Cognitive decline and advanced age were associated with lower gray matter volume in various regions, particularly in the bilateral temporal lobes. Brains age was well predicted from the morphological data in HCs and, as expected, elevated in MCI and particularly in AD subjects. However, there was neither a significant difference between regional gray matter volume in any diagnostic group related to the SDB status, nor in SDB-by-cognitive status interaction. Moreover, we found no difference in estimated chronological age gap related to SDB, or by-cognitive status interaction. Contrary to our hypothesis, we were not able to find a general or a diagnostic-dependent association of SDB with either gray-matter volumetric or brain aging.
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Affiliation(s)
- Bahram Mohajer
- Institute of Medical Science and Technology, Shahid Beheshti UniversityTehranIran
- Non‐Communicable Diseases Research CenterEndocrinology and Metabolism Population Sciences Institute, Tehran University of Medical SciencesTehranIran
| | - Nooshin Abbasi
- McConnell Brain Imaging CentreMontreal Neurological Institute, McGill UniversityMontrealQuebecCanada
| | - Esmaeil Mohammadi
- Institute of Medical Science and Technology, Shahid Beheshti UniversityTehranIran
- Non‐Communicable Diseases Research CenterEndocrinology and Metabolism Population Sciences Institute, Tehran University of Medical SciencesTehranIran
| | - Habibolah Khazaie
- Sleep Disorders Research CenterKermanshah University of Medical SciencesKermanshahIran
| | - Ricardo S. Osorio
- Department of Psychiatry, Center for Brain Health, NYU Langone Medical CenterNew YorkNew YorkUSA
- Nathan S. Kline Institute for Psychiatric ResearchNew YorkNew YorkUSA
| | - Ivana Rosenzweig
- Sleep Disorders CentreGuy's and St Thomas' Hospital, GSTT NHSLondonUK
- Sleep and Brain Plasticity Centre, Department of NeuroimagingIOPPN, King's College LondonLondonUK
| | - Claudia R. Eickhoff
- Institute of Neuroscience and Medicine (INM‐1; INM‐7), Research Center JülichJülichGermany
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine UniversityDüsseldorfGermany
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti UniversityTehranIran
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti UniversityTehranIran
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine (INM‐1; INM‐7), Research Center JülichJülichGermany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich‐Heine UniversityDüsseldorfGermany
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26
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Nakagawa S, Iizuka K, Sakaki K, Araki T, Nozawa T, Ikeda S, Yokota S, Hanawa S, Magistro D, Kotozaki Y, Sasaki Y, Dos S Kawata KH, Kawashima R. The associations of BMI with mean diffusivity of basal ganglia among young adults with mild obesity and without obesity. Sci Rep 2020; 10:12566. [PMID: 32724120 PMCID: PMC7387490 DOI: 10.1038/s41598-020-69438-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/09/2020] [Indexed: 11/09/2022] Open
Abstract
Obesity causes a wide range of systemic diseases and is associated with mood and anxiety disorders. It is also associated with dopaminergic reward system function. However, the relationships between microstructural properties of the dopaminergic system and body mass index (BMI) have not been investigated. In this study, we investigated the associations of BMI with mean diffusivity (MD), diffusion tensor imaging measure in areas of the dopaminergic system (MDDS) in 435 healthy young adults with mild obesity and without obesity (BMI < 40). We detected the association between greater BMI and lower MD of the right globus pallidus and the right putamen. These results suggest that the property of the dopaminergic system is associated with BMI among young adults with mild obesity and without obesity.
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Affiliation(s)
- Hikarua Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan
- Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Kunio Iizuka
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Takayuki Nozawa
- Collaborative Research Center for Happiness Co-Creation Society Through Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Daniele Magistro
- National Centre for Sport and Exercise Medicine (NCSEM), The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, England
| | - Yuka Kotozaki
- Division of Clinical Research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yukako Sasaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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27
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Succeeding in deactivating: associations of hair zinc levels with functional and structural neural mechanisms. Sci Rep 2020; 10:12364. [PMID: 32704167 PMCID: PMC7378227 DOI: 10.1038/s41598-020-69277-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 05/26/2020] [Indexed: 12/15/2022] Open
Abstract
Zinc is a biologically essential element and involved in a wide range of cellular processes. Here, we investigated the associations of zinc levels in hair with brain activity during the n-back working memory task using functional magnetic resonance imaging, fractional anisotropy (FA) of diffusion tensor imaging, and cognitive differences in a study cohort of 924 healthy young adults. Our findings showed that greater hair zinc levels were associated with lower brain activity during working memory in extensive areas in the default mode network (i.e., greater task-induced deactivation) as well as greater FA in white matter areas near the hippocampus and posterior limbs of the internal capsule. These findings advance previous non-neuroimaging findings of zinc's associations with excitability, excitability-associated disorders, and myelination.
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28
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Van Egroo M, Narbutas J, Chylinski D, Villar González P, Maquet P, Salmon E, Bastin C, Collette F, Vandewalle G. Sleep-wake regulation and the hallmarks of the pathogenesis of Alzheimer's disease. Sleep 2020; 42:5289316. [PMID: 30649520 DOI: 10.1093/sleep/zsz017] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 11/26/2018] [Indexed: 01/23/2023] Open
Abstract
While efficient treatments for Alzheimer's disease (AD) remain elusive, a growing body of research has highlighted sleep-wake regulation as a potential modifiable factor to delay disease progression. Evidence accumulated in recent years is pointing toward a tight link between sleep-wake disruption and the three main hallmarks of the pathogenesis of AD, i.e. abnormal amyloid-beta (Aβ) and tau proteins accumulation, and neurodegeneration. However, all three hallmarks are rarely considered together in the same study. In this review, we gather and discuss findings in favor of an association between sleep-wake disruption and each AD hallmark in animal models and in humans, with a focus on the preclinical stages of the disease. We emphasize that these relationships are likely bidirectional for each of these hallmarks. Altogether, current findings provide strong support for considering sleep-wake disruption as a true risk factor in the early unfolding of AD, but more research integrating recent technical advances is needed, particularly with respect to tau protein and neurodegeneration. Interventional longitudinal studies among cognitively healthy older individuals should assess the practical use of improving sleep-wake regulation to slow down the progression of AD pathogenesis.
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Affiliation(s)
- Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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29
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Tahmasian M, Samea F, Khazaie H, Zarei M, Kharabian Masouleh S, Hoffstaedter F, Camilleri J, Kochunov P, Yeo BTT, Eickhoff SB, Valk SL. The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control. Commun Biol 2020; 3:171. [PMID: 32273564 PMCID: PMC7145855 DOI: 10.1038/s42003-020-0892-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 03/16/2020] [Indexed: 12/15/2022] Open
Abstract
Humans need about seven to nine hours of sleep per night. Sleep habits are heritable, associated with brain function and structure, and intrinsically related to well-being, mental, and physical health. However, the biological basis of the interplay of sleep and health is incompletely understood. Here we show, by combining neuroimaging and behavioral genetic approaches in two independent large-scale datasets (HCP (n = 1106), age range: 22-37, eNKI (n = 783), age range: 12-85), that sleep, mental, and physical health have a shared neurobiological basis in grey matter anatomy; and that these relationships are driven by shared genetic factors. Though local associations between sleep and cortical thickness were inconsistent across samples, we identified two robust latent components, highlighting the multivariate interdigitation of sleep, intelligence, BMI, depression, and macroscale cortical structure. Our observations provide a system-level perspective on the interrelation of sleep, mental, and physical conditions, anchored in grey-matter neuroanatomy.
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Affiliation(s)
- Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Fateme Samea
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Shahrzad Kharabian Masouleh
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425, Jülich, Germany
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425, Jülich, Germany
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Julia Camilleri
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425, Jülich, Germany
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Peter Kochunov
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - B T Thomas Yeo
- Department of Electrical and Computer Engineering, Clinical Imaging Research Centre, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore, 119077, Singapore
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02114, USA
- Centre for Sleep and Cognition, National University of Singapore, Singapore, 119077, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, 119077, Singapore
| | - Simon Bodo Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425, Jülich, Germany
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Sofie Louise Valk
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425, Jülich, Germany.
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
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30
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Ward SA, Pase MP. Advances in pathophysiology and neuroimaging: Implications for sleep and dementia. Respirology 2019; 25:580-592. [DOI: 10.1111/resp.13728] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/02/2019] [Accepted: 10/16/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Stephanie A. Ward
- School of Public Health and Preventive MedicineMonash University Melbourne VIC Australia
- Department of Geriatric MedicinePrince of Wales Hospital Sydney NSW Australia
- Centre for Healthy Brain Ageing (CHeBA), School of PsychiatryUniversity of New South Wales Sydney NSW Australia
| | - Matthew P. Pase
- Melbourne Dementia Research CentreThe Florey Institute of Neuroscience and Mental Health Melbourne VIC Australia
- Faculty of Medicine, Dentistry and Health ScienceThe University of Melbourne Melbourne VIC Australia
- Centre for Human PsychopharmacologySwinburne University of Technology Melbourne VIC Australia
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31
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Abstract
Empathizing is defined as “the drive to identify another’s mental states and to respond to these with an appropriate emotion” and systemizing is defined as “the drive to the drive to analyze and construct rule-based systems”. While mean diffusivity (MD) has been robustly associated with several cognitive traits and disorders related with empathizing and systemizing, its direct correlation with empathizing and systemizing remains to be investigated. We undertook voxel-by-voxel investigations of regional MD to discover microstructural correlates of empathizing, systemizing, and the discrepancy between them (D score: systemizing − empathizing). Whole-brain analyses of covariance revealed that across both sexes, empathizing was positively correlated with MD of (a) an anatomical cluster that primarily spreads in the areas in and adjacent to the left dorsolateral prefrontal cortex, left anterior to the middle cingulate cortex, and left insula and (b) an anatomical cluster of the left postcentral gyrus and left rolandic operculum. The former overlaps with positive MD correlates of cooperativeness. The D score and systemizing did not show significant correlations. In conclusion, while increased MD has generally been associated with reduced neural tissues and possibly area function, higher empathizing and cooperativeness were commonly reflected by greater MD values in areas (a) that mainly overlap with areas that play a key role in emotional salience and empathy. In addition, higher empathizing was correlated with greater MD values in areas (b) that play a key role in the mirror neuron system.
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32
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Logan JG, Kang H, Lobo JM, Sohn MW, Lin GM, Lima JAC, Punjabi NM, Redline S, Kwon Y. Actigraphy-based sleep characteristics and aortic stiffness: the Multi-Ethnic Study of Atherosclerosis. ACTA ACUST UNITED AC 2018; 12:841-849. [PMID: 30396853 DOI: 10.1016/j.jash.2018.09.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 08/16/2018] [Accepted: 09/19/2018] [Indexed: 12/21/2022]
Abstract
The study aimed to examine the association between objective estimates of sleep duration and quality and aortic stiffness while accounting for the potential confounding effect of sleep-disordered breathing. Participants were part of the Multi-Ethnic Study of Atherosclerosis Sleep study. Sleep duration and quality were assessed by 7-day wrist actigraphy, sleep-disordered breathing by home polysomnography, and aortic stiffness by magnetic resonance imaging-based aortic pulse wave velocity (aPWV), ascending and descending aorta distensibility. Aortic stiffness of participants with "normal" sleep duration (6-8 hours) were compared with those of "short" (<6 hours) and "long" sleep duration (>8 hours) adjusting for common cardiovascular risk factors and apnea-hypopnea index. The sample consisted of 908 participants (mean age 68.4 ± 9.1 years, 55.3% female). There was a significant linear trend of increased aPWV across short (n = 252), normal (n = 552), and long sleep durations (n = 104) (P for trend = .008). Multivariable analysis showed that people with short sleep duration had 0.94 m/s lower aPWV (95% CI: -1.54, -0.35), compared with those with normal sleep duration. In this ethnically diverse community cohort, habitual short sleep duration as estimated by actigraphy was associated with lower aortic stiffness.
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Affiliation(s)
- Jeongok G Logan
- Assistant Professor, University of Virginia School of Nursing, Charlottesville, VA, USA.
| | - Hyojung Kang
- Research Assistant Professor, Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA
| | - Jennifer Mason Lobo
- Assistant Professor, Division of Biomedical Informatics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Min-Woong Sohn
- Associate Professor, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Gen-Min Lin
- Assistant Professor, Department of Medicine, Hualien Armed Forces General Hospital, Hualien, Taiwan
| | - Joao A C Lima
- Professor of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Naresh M Punjabi
- Professor, Johns Hopkins Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Susan Redline
- Peter C. Farrell Professor of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Younghoon Kwon
- Assistant Professor, University of Virginia, Fontaine Research Park, Charlottesville, VA, USA
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