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Rogers-Soeder TS, Patel S, Shikany JM, Langsetmo L, Judd SE, Ensrud KE, LeBlanc E, Cauley JA, Redline S, Fink HA, Lane NE. Associations of empirically derived dietary patterns and cognitive performance in older men: Results of the Osteoporotic Fractures in Men (MrOS) study. Maturitas 2024; 186:108030. [PMID: 38838386 PMCID: PMC11221760 DOI: 10.1016/j.maturitas.2024.108030] [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: 11/18/2023] [Revised: 05/03/2024] [Accepted: 05/25/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE The aim of this study was to examine associations between empirically derived dietary pattern scores and cognition, as well as risk of cognitive decline, over an average of 4.6 (± 0.3) years in older men. MATERIALS AND METHODS This analysis was conducted as part of the Osteoporotic Fractures in Men (MrOS) prospective cohort study. Diet was assessed at Visit 1 (3/2000-4/2002) by food frequency questionnaire, and dietary patterns (Western and Prudent) were derived by factor analysis. The analytic cohort comprised 4231 community-dwelling American men who were aged 65 years or more. Cognitive function was assessed with the Modified Mini-Mental State exam (3MS) and the Trails B test at Visit 1 and at Visit 2 (3/2005-5/2006). Associations between dietary pattern score and cognition and risk of cognitive decline were estimated using mixed effects regression models. Model 1 was adjusted for age, clinic site and total energy intake (TEI). Model 2 was further adjusted for calcium and vitamin D supplement use, body mass index (BMI), physical activity, smoking, diabetes and hypertension (Western diet group) and education, calcium and vitamin D supplement use, depression, BMI, physical activity, smoking and stroke (Prudent diet group). RESULTS Adherence to the Western dietary pattern was associated with higher 3MS scores and shorter Trails B test time at Visit 1 in Model 2. Adherence to the Prudent dietary pattern was associated with higher 3MS scores in Model 1 but not Model 2. There were no independent associations between dietary pattern scores and risk of cognitive decline 4.6 (± 0.3) years later at Visit 2. CONCLUSION The results do not support a robust protective effect of the Prudent dietary pattern on cognition in the MrOS cohort. Associations between the Western dietary pattern and better cognitive scores should be interpreted with caution. Further research is needed to understand the complex interactions between dietary patterns and cognition in older men.
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Affiliation(s)
- Tara S Rogers-Soeder
- VA Northern California Health Care System, 10535 Hospital Way, Mather, CA 95655, United States of America.
| | - Sheena Patel
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, United States of America.
| | - James M Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, MT 619, 1720 2nd Ave S, Birmingham, AL 35294-4410, United States of America.
| | - Lisa Langsetmo
- Minneapolis VA Healthcare System, 1 Veterans Drive, Minneapolis, MN 55417, United States of America; Department of Medicine, University of Minnesota, Minneapolis, MN, United States of America.
| | - Suzanne E Judd
- Department of Biostatistics, UAB School of Public Health, University of Alabama at Birmingham, United States of America.
| | - Kristine E Ensrud
- Medicine and Epidemiology & Community Health, University of Minnesota, United States of America; Minneapolis VA Health Care System, One Veterans Drive, General Internal Medicine (111-0), Minneapolis, MN 55417, United States of America.
| | - Erin LeBlanc
- Kaiser Permanente Center for Health Research, 3800 North Interstate, Portland, OR 97227, United States of America.
| | - Jane A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, A 510 Crabtree Hall, 130 Desoto Street, Pittsburgh, PA 15261, United States of America.
| | - Susan Redline
- Harvard Medical School, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA 02115, United States of America.
| | - Howard A Fink
- Minneapolis VA Healthcare System, 1 Veterans Drive, Minneapolis, MN 55417, United States of America; University of Minnesota, Minneapolis, MN, United States of America.
| | - Nancy E Lane
- University of California, Davis Health, 451 Health Sciences Drive, Suite 6515, Davis, CA, 95616, United States of America.
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Smagula SF, Zhang G, Krafty RT, Ramos A, Sotres-Alvarez D, Rodakowski J, Gallo LC, Lamar M, Gujral S, Fischer D, Tarraf W, Mossavar-Rahmani Y, Redline S, Stone KL, Gonzalez HM, Patel SR. Sleep-wake behaviors associated with cognitive performance in middle-aged participants of the Hispanic Community Health Study/Study of Latinos. Sleep Health 2024; 10:500-507. [PMID: 38693044 PMCID: PMC11309910 DOI: 10.1016/j.sleh.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/26/2024] [Accepted: 02/20/2024] [Indexed: 05/03/2024]
Abstract
OBJECTIVES Many sleep-wake behaviors have been associated with cognition. We examined a panel of sleep-wake/activity characteristics to determine which are most robustly related to having low cognitive performance in midlife. Secondarily, we evaluate the predictive utility of sleep-wake measures to screen for low cognitive performance. METHODS The outcome was low cognitive performance defined as being >1 standard deviation below average age/sex/education internally normalized composite cognitive performance levels assessed in the Hispanic Community Health Study/Study of Latinos. Analyses included 1006 individuals who had sufficient sleep-wake measurements about 2years later (mean age=54.9, standard deviation= 5.1; 68.82% female). We evaluated associations of 31 sleep-wake variables with low cognitive performance using separate logistic regressions. RESULTS In individual models, the strongest sleep-wake correlates of low cognitive performance were measures of weaker and unstable 24-hour rhythms; greater 24-hour fragmentation; longer time-in-bed; and lower rhythm amplitude. One standard deviation worse on these sleep-wake factors was associated with ∼20%-30% greater odds of having low cognitive performance. In an internally cross-validated prediction model, the independent correlates of low cognitive performance were: lower Sleep Regularity Index scores; lower pseudo-F statistics (modellability of 24-hour rhythms); lower activity rhythm amplitude; and greater time in bed. Area under the curve was low/moderate (64%) indicating poor predictive utility. CONCLUSION The strongest sleep-wake behavioral correlates of low cognitive performance were measures of longer time-in-bed and irregular/weak rhythms. These sleep-wake assessments were not useful to identify previous low cognitive performance. Given their potential modifiability, experimental trials could test if targeting midlife time-in-bed and/or irregular rhythms influences cognition.
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Affiliation(s)
- Stephen F Smagula
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
| | - Gehui Zhang
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Robert T Krafty
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Alberto Ramos
- Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Juleen Rodakowski
- Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Linda C Gallo
- Department of Psychology, University of California San Diego, San Diego, California, USA
| | - Melissa Lamar
- Institute of Minority Health Research, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Swathi Gujral
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Dorothee Fischer
- Department of Sleep and Human Factors Research, Institute for Aerospace Medicine, German Aerospace Center, Cologne, Germany
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, New York, New York, USA
| | - Susan Redline
- Division of Sleep Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, California, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Hector M Gonzalez
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, UC San Diego, San Diego, California, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Janssen Daalen JM, van den Bergh R, Prins EM, Moghadam MSC, van den Heuvel R, Veen J, Mathur S, Meijerink H, Mirelman A, Darweesh SKL, Evers LJW, Bloem BR. Digital biomarkers for non-motor symptoms in Parkinson's disease: the state of the art. NPJ Digit Med 2024; 7:186. [PMID: 38992186 PMCID: PMC11239921 DOI: 10.1038/s41746-024-01144-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/22/2024] [Indexed: 07/13/2024] Open
Abstract
Digital biomarkers that remotely monitor symptoms have the potential to revolutionize outcome assessments in future disease-modifying trials in Parkinson's disease (PD), by allowing objective and recurrent measurement of symptoms and signs collected in the participant's own living environment. This biomarker field is developing rapidly for assessing the motor features of PD, but the non-motor domain lags behind. Here, we systematically review and assess digital biomarkers under development for measuring non-motor symptoms of PD. We also consider relevant developments outside the PD field. We focus on technological readiness level and evaluate whether the identified digital non-motor biomarkers have potential for measuring disease progression, covering the spectrum from prodromal to advanced disease stages. Furthermore, we provide perspectives for future deployment of these biomarkers in trials. We found that various wearables show high promise for measuring autonomic function, constipation and sleep characteristics, including REM sleep behavior disorder. Biomarkers for neuropsychiatric symptoms are less well-developed, but show increasing accuracy in non-PD populations. Most biomarkers have not been validated for specific use in PD, and their sensitivity to capture disease progression remains untested for prodromal PD where the need for digital progression biomarkers is greatest. External validation in real-world environments and large longitudinal cohorts remains necessary for integrating non-motor biomarkers into research, and ultimately also into daily clinical practice.
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Affiliation(s)
- Jules M Janssen Daalen
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
| | - Robin van den Bergh
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
| | - Eva M Prins
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
| | - Mahshid Sadat Chenarani Moghadam
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
| | - Rudie van den Heuvel
- HAN University of Applied Sciences, School of Engineering and Automotive, Health Concept Lab, Arnhem, The Netherlands
| | - Jeroen Veen
- HAN University of Applied Sciences, School of Engineering and Automotive, Health Concept Lab, Arnhem, The Netherlands
| | | | - Hannie Meijerink
- ParkinsonNL, Parkinson Patient Association, Bunnik, The Netherlands
| | - Anat Mirelman
- Tel Aviv University, Sagol School of Neuroscience, Department of Neurology, Faculty of Medicine, Laboratory for Early Markers of Neurodegeneration (LEMON), Center for the Study of Movement, Cognition, and Mobility (CMCM), Tel Aviv, Israel
| | - Sirwan K L Darweesh
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
| | - Luc J W Evers
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
- Radboud University, Institute for Computing and Information Sciences, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
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Chuang HH, Lin C, Lee LA, Chang HC, She GJ, Lin YH. Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study. J Med Internet Res 2024; 26:e50149. [PMID: 38838328 PMCID: PMC11187513 DOI: 10.2196/50149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 11/17/2023] [Accepted: 03/20/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND This study aimed to investigate the relationships between adiposity and circadian rhythm and compare the measurement of circadian rhythm using both actigraphy and a smartphone app that tracks human-smartphone interactions. OBJECTIVE We hypothesized that the app-based measurement may provide more comprehensive information, including light-sensitive melatonin secretion and social rhythm, and have stronger correlations with adiposity indicators. METHODS We enrolled a total of 78 participants (mean age 41.5, SD 9.9 years; 46/78, 59% women) from both an obesity outpatient clinic and a workplace health promotion program. All participants (n=29 with obesity, n=16 overweight, and n=33 controls) were required to wear a wrist actigraphy device and install the Rhythm app for a minimum of 4 weeks, contributing to a total of 2182 person-days of data collection. The Rhythm app estimates sleep and circadian rhythm indicators by tracking human-smartphone interactions, which correspond to actigraphy. We examined the correlations between adiposity indices and sleep and circadian rhythm indicators, including sleep time, chronotype, and regularity of circadian rhythm, while controlling for physical activity level, age, and gender. RESULTS Sleep onset and wake time measurements did not differ significantly between the app and actigraphy; however, wake after sleep onset was longer (13.5, SD 19.5 minutes) with the app, resulting in a longer actigraphy-measured total sleep time (TST) of 20.2 (SD 66.7) minutes. The obesity group had a significantly longer TST with both methods. App-measured circadian rhythm indicators were significantly lower than their actigraphy-measured counterparts. The obesity group had significantly lower interdaily stability (IS) than the control group with both methods. The multivariable-adjusted model revealed a negative correlation between BMI and app-measured IS (P=.007). Body fat percentage (BF%) and visceral adipose tissue area (VAT) showed significant correlations with both app-measured IS and actigraphy-measured IS. The app-measured midpoint of sleep showed a positive correlation with both BF% and VAT. Actigraphy-measured TST exhibited a positive correlation with BMI, VAT, and BF%, while no significant correlation was found between app-measured TST and either BMI, VAT, or BF%. CONCLUSIONS Our findings suggest that IS is strongly correlated with various adiposity indicators. Further exploration of the role of circadian rhythm, particularly measured through human-smartphone interactions, in obesity prevention could be warranted.
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Affiliation(s)
- Hai-Hua Chuang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan, Taiwan
- Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Chen Lin
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan
| | - Li-Ang Lee
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
- Department of Otorhinolaryngology - Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan, Taiwan
| | - Hsiang-Chih Chang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Guan-Jie She
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Yu-Hsuan Lin
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan
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5
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Wendt A, Bielemann RM, Wehrmeister FC, Ricardo LIC, Müller WDA, Machado AKF, da Cruz MF, Bertoldi AD, Brage S, Ekelund U, Tovo-Rodrigues L, Crochemore-Silva I. Is rest-activity rhythm prospectively associated with all-cause mortality in older people regardless of sleep and physical activity level? The 'Como Vai?' Cohort study. PLoS One 2024; 19:e0298031. [PMID: 38363743 PMCID: PMC10871497 DOI: 10.1371/journal.pone.0298031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/16/2024] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE This study aims to test the association of rest-activity rhythm (intradaily variability and interdaily stability) with all-cause mortality in an older adult cohort in Brazil. It also assesses whether the amount of time spent at each intensity level (i.e., physical activity and nocturnal sleep) interferes with this association. METHODS This cohort study started in 2014 with older adults (≥60 years). We investigated deaths from all causes that occurred until April 2017. Rest-activity rhythm variables were obtained using accelerometry at baseline. Intradaily variability indicates higher rhythm fragmentation, while interdaily stability indicates higher rhythm stability. Cox proportional-hazard models were used to test the associations controlling for confounders. RESULTS Among the 1451 older adults interviewed in 2014, 965 presented valid accelerometry data. During the follow-up period, 80 individuals died. After adjusting the analysis for sociodemographic, smoking, morbidity score, and number of medicines, an increase of one standard deviation in interdaily stability decreased 26% the risk of death. The adjustment for total sleep time and inactivity did not change this association. On the other hand, the association was no longer significant after adjusting for overall physical activity and moderate to vigorous physical activity. CONCLUSION Rest-activity rhythm pattern was not associated with mortality when physical activity was considered, possibly because this pattern could be driven by regular exercise. Promoting physical activity remains a relevant strategy to improve population health.
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Affiliation(s)
- Andrea Wendt
- Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
| | - Renata Moraes Bielemann
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- School of Nutrition, Federal University of Pelotas, Pelotas, Brazil
| | | | - Luiza I. C. Ricardo
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | | | | | | | - Andréa D. Bertoldi
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Soren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic diseases, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Inácio Crochemore-Silva
- Post-Graduation Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Post-Graduation Program in Physical Education, Federal University of Pelotas, Pelotas, Brazil
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Winer JR, Lok R, Weed L, He Z, Poston KL, Mormino EC, Zeitzer JM. Impaired 24-h activity patterns are associated with an increased risk of Alzheimer's disease, Parkinson's disease, and cognitive decline. Alzheimers Res Ther 2024; 16:35. [PMID: 38355598 PMCID: PMC10865579 DOI: 10.1186/s13195-024-01411-0] [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: 09/12/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Sleep-wake regulating circuits are affected during prodromal stages in the pathological progression of both Alzheimer's disease (AD) and Parkinson's disease (PD), and this disturbance can be measured passively using wearable devices. Our objective was to determine whether accelerometer-based measures of 24-h activity are associated with subsequent development of AD, PD, and cognitive decline. METHODS This study obtained UK Biobank data from 82,829 individuals with wrist-worn accelerometer data aged 40 to 79 years with a mean (± SD) follow-up of 6.8 (± 0.9) years. Outcomes were accelerometer-derived measures of 24-h activity (derived by cosinor, nonparametric, and functional principal component methods), incident AD and PD diagnosis (obtained through hospitalization or primary care records), and prospective longitudinal cognitive testing. RESULTS One hundred eighty-seven individuals progressed to AD and 265 to PD. Interdaily stability (a measure of regularity, hazard ratio [HR] per SD increase 1.25, 95% confidence interval [CI] 1.05-1.48), diurnal amplitude (HR 0.79, CI 0.65-0.96), mesor (mean activity; HR 0.77, CI 0.59-0.998), and activity during most active 10 h (HR 0.75, CI 0.61-0.94), were associated with risk of AD. Diurnal amplitude (HR 0.28, CI 0.23-0.34), mesor (HR 0.13, CI 0.10-0.16), activity during least active 5 h (HR 0.24, CI 0.08-0.69), and activity during most active 10 h (HR 0.20, CI 0.16-0.25) were associated with risk of PD. Several measures were additionally predictive of longitudinal cognitive test performance. CONCLUSIONS In this community-based longitudinal study, accelerometer-derived metrics were associated with elevated risk of AD, PD, and accelerated cognitive decline. These findings suggest 24-h rhythm integrity, as measured by affordable, non-invasive wearable devices, may serve as a scalable early marker of neurodegenerative disease.
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Affiliation(s)
- Joseph R Winer
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
| | - Renske Lok
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Lara Weed
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
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Rykov YG, Patterson MD, Gangwar BA, Jabar SB, Leonardo J, Ng KP, Kandiah N. Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment. BMC Med 2024; 22:36. [PMID: 38273340 PMCID: PMC10809621 DOI: 10.1186/s12916-024-03252-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/09/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Continuous assessment and remote monitoring of cognitive function in individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and modifying treatment to achieve better clinical outcomes. While standardized neuropsychological tests are inconvenient for this purpose, wearable sensor technology collecting physiological and behavioral data looks promising to provide proxy measures of cognitive function. The objective of this study was to evaluate the predictive ability of digital physiological features, based on sensor data from wrist-worn wearables, in determining neuropsychological test scores in individuals with MCI. METHODS We used the dataset collected from a 10-week single-arm clinical trial in older adults (50-70 years old) diagnosed with amnestic MCI (N = 30) who received a digitally delivered multidomain therapeutic intervention. Cognitive performance was assessed before and after the intervention using the Neuropsychological Test Battery (NTB) from which composite scores were calculated (executive function, processing speed, immediate memory, delayed memory and global cognition). The Empatica E4, a wrist-wearable medical-grade device, was used to collect physiological data including blood volume pulse, electrodermal activity, and skin temperature. We processed sensors' data and extracted a range of physiological features. We used interpolated NTB scores for 10-day intervals to test predictability of scores over short periods and to leverage the maximum of wearable data available. In addition, we used individually centered data which represents deviations from personal baselines. Supervised machine learning was used to train models predicting NTB scores from digital physiological features and demographics. Performance was evaluated using "leave-one-subject-out" and "leave-one-interval-out" cross-validation. RESULTS The final sample included 96 aggregated data intervals from 17 individuals. In total, 106 digital physiological features were extracted. We found that physiological features, especially measures of heart rate variability, correlated most strongly to the executive function compared to other cognitive composites. The model predicted the actual executive function scores with correlation r = 0.69 and intra-individual changes in executive function scores with r = 0.61. CONCLUSIONS Our findings demonstrated that wearable-based physiological measures, primarily HRV, have potential to be used for the continuous assessments of cognitive function in individuals with MCI.
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Affiliation(s)
| | | | | | | | - Jacklyn Leonardo
- Dementia Research Centre, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Kok Pin Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Nagaendran Kandiah
- Dementia Research Centre, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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8
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Carpi M, Fernandes M, Mercuri NB, Liguori C. Sleep Biomarkers for Predicting Cognitive Decline and Alzheimer's Disease: A Systematic Review of Longitudinal Studies. J Alzheimers Dis 2024; 97:121-143. [PMID: 38043016 DOI: 10.3233/jad-230933] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2023]
Abstract
BACKGROUND Sleep disturbances are considered a hallmark of dementia, and strong evidence supports the association between alterations in sleep parameters and cognitive decline in patients with mild cognitive impairment and Alzheimer's disease (AD). OBJECTIVE This systematic review aims to summarize the existing evidence on the longitudinal association between sleep parameters and cognitive decline, with the goal of identifying potential sleep biomarkers of AD-related neurodegeneration. METHODS Literature search was conducted in PubMed, Web of Science, and Scopus databases from inception to 28 March 2023. Longitudinal studies investigating the association between baseline objectively-measured sleep parameters and cognitive decline were assessed for eligibility. RESULTS Seventeen studies were included in the qualitative synthesis. Sleep fragmentation, reduced sleep efficiency, reduced REM sleep, increased light sleep, and sleep-disordered breathing were identified as predictors of cognitive decline. Sleep duration exhibited a U-shaped relation with subsequent neurodegeneration. Additionally, several sleep microstructural parameters were associated with cognitive decline, although inconsistencies were observed across studies. CONCLUSIONS These findings suggest that sleep alterations hold promise as early biomarker of cognitive decline, but the current evidence is limited due to substantial methodological heterogeneity among studies. Further research is necessary to identify the most reliable sleep parameters for predicting cognitive impairment and AD, and to investigate interventions targeting sleep that can assist clinicians in the early recognition and treatment of cognitive decline. Standardized procedures for longitudinal studies evaluating sleep and cognition should be developed and the use of continuous sleep monitoring techniques, such as actigraphy or EEG headband, might be encouraged.
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Affiliation(s)
- Matteo Carpi
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
| | - Mariana Fernandes
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Biagio Mercuri
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Claudio Liguori
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
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9
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Bliwise DL, Wang TC, Svetnik V, Zammit G, Tao P, Lines C, Herring WJ. Phase advance of bedtimes in Alzheimer's disease. Sleep 2023; 46:zsad191. [PMID: 37540589 DOI: 10.1093/sleep/zsad191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2023] Open
Affiliation(s)
- Donald L Bliwise
- Sleep Center, Emory University School of Medicine, Atlanta, GA, USA
| | - Ting-Chuan Wang
- Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ, USA
| | | | - Gary Zammit
- Clinilabs Drug Development Corporation, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peining Tao
- Merck Research Laboratories, Merck & Co., Inc., Rahway, NJ, USA
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10
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Keihani A, Mayeli A, Ferrarelli F. Circadian Rhythm Changes in Healthy Aging and Mild Cognitive Impairment. Adv Biol (Weinh) 2023; 7:e2200237. [PMID: 36403250 PMCID: PMC10199146 DOI: 10.1002/adbi.202200237] [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: 08/29/2022] [Revised: 11/01/2022] [Indexed: 11/21/2022]
Abstract
Disruptions in circadian rhythms can occur in healthy aging; however, these changes are more severe and pervasive in individuals with age-related and neurodegenerative diseases, such as dementia. Circadian rhythm alterations are also present in preclinical stages of dementia, for example, in patients with mild cognitive impairments (MCI); thus, providing a unique window of opportunity for early intervention in neurodegenerative disorders. Nonetheless, there is a lack of studies examining the association between relevant changes in circadian rhythms and their relationship with cognitive dysfunctions in MCI individuals. In this review, circadian system alterations occurring in MCI patients are examined compared to healthy aging individuals while also considering their association with MCI neurocognitive alterations. The main findings are that abnormal circadian changes in rest-activity, core body temperature, melatonin, and cortisol rhythms appear in the MCI stage and that these circadian rhythm disruptions are associated with some of the neurocognitive deficits observed in MCI patients. In addition, preliminary evidence indicates that interventions aimed at restoring regular circadian rhythms may prevent or halt the progress of neurodegenerative diseases and mitigate their related cognitive impairments. Future longitudinal studies with repeated follow-up assessments are needed to establish the translational potential of these findings in clinical practice.
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Affiliation(s)
- Ahmadreza Keihani
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Pittsburgh, PA, 15213, USA
| | - Ahmad Mayeli
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Pittsburgh, PA, 15213, USA
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, 3501 Forbes Ave, Pittsburgh, PA, 15213, USA
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11
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Antonsdottir IM, Low DV, Chen D, Rabinowitz JA, Yue Y, Urbanek J, Wu MN, Zeitzer JM, Rosenberg PB, Friedman LF, Sheikh JI, Yesavage JA, Zipunnikov V, Spira AP. 24 h Rest/Activity Rhythms in Older Adults with Memory Impairment: Associations with Cognitive Performance and Depressive Symptomatology. Adv Biol (Weinh) 2023; 7:e2300138. [PMID: 37423973 DOI: 10.1002/adbi.202300138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/16/2023] [Indexed: 07/11/2023]
Abstract
Little is known about links of circadian rhythm alterations with neuropsychiatric symptoms and cognition in memory impaired older adults. Associations of actigraphic rest/activity rhythms (RAR) with depressive symptoms and cognition are examined using function-on-scalar regression (FOSR). Forty-four older adults with memory impairment (mean: 76.84 ± 8.15 years; 40.9% female) completed 6.37 ± 0.93 days of actigraphy, the Beck depression inventory-II (BDI-II), mini-mental state examination (MMSE) and consortium to establish a registry for Alzheimer's disease (CERAD) delayed word recall. FOSR models with BDI-II, MMSE, or CERAD as individual predictors adjusted for demographics (Models A1-A3) and all three predictors and demographics (Model B). In Model B, higher BDI-II scores are associated with greater activity from 12:00-11:50 a.m., 2:10-5:50 p.m., 8:40-9:40 p.m., 11:20-12:00 a.m., higher CERAD scores with greater activity from 9:20-10:00 p.m., and higher MMSE scores with greater activity from 5:50-10:50 a.m. and 12:40-5:00 p.m. Greater depressive symptomatology is associated with greater activity in midafternoon, evening, and overnight into midday; better delayed recall with greater late evening activity; and higher global cognitive performance with greater morning and afternoon activity (Model B). Time-of-day specific RAR alterations may affect mood and cognitive performance in this population.
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Affiliation(s)
- Inga M Antonsdottir
- Johns Hopkins School of Nursing, 525 N. Wolfe Street, Baltimore, MD, 21205, USA
- Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins Medicine, Baltimore, MD, 21224, USA
| | - Dominique V Low
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Diefei Chen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Johns Hopkins University Center on Aging and Health, Baltimore, MD, 21205, USA
| | - Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House, Baltimore, MD, 21205, USA
| | - Yiwei Yue
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House, Baltimore, MD, 21205, USA
| | - Jacek Urbanek
- Regeneron Pharmaceuticals Inc., Johns Hopkins University, 777 Old Saw Mill River Rd, Tarrytown, NY, 10591, USA
| | - Mark N Wu
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, 94305, USA
| | - Paul B Rosenberg
- Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins Medicine, Baltimore, MD, 21224, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, 5300 Alpha Commons Drive, Baltimore, MD, 21224, USA
| | - Leah F Friedman
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, 94305, USA
| | - Javaid I Sheikh
- AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, 24144, Qatar
| | - Jerome A Yesavage
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, 94305, USA
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Adam P Spira
- Johns Hopkins University Center on Aging and Health, Baltimore, MD, 21205, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, 5300 Alpha Commons Drive, Baltimore, MD, 21224, USA
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12
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Smagula SF. Association versus prediction and open question on what sleep-wake factors to target for dementia prevention: letter to the editor regarding "Earlier chronotype in midlife as a predictor of accelerated brain aging: a population-based longitudinal cohort study" by Kim et al. (https://doi.org/10.1093/sleep/zsad108). Sleep 2023; 46:zsad183. [PMID: 37506228 DOI: 10.1093/sleep/zsad183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2023] Open
Affiliation(s)
- Stephen F Smagula
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh PA, USA
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13
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Carlson EJ, Wilckens KA, Wheeler ME. The Interactive Role of Sleep and Circadian Rhythms in Episodic Memory in Older Adults. J Gerontol A Biol Sci Med Sci 2023; 78:1844-1852. [PMID: 37167439 PMCID: PMC10562893 DOI: 10.1093/gerona/glad112] [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: 08/08/2022] [Indexed: 05/13/2023] Open
Abstract
Adequate sleep is essential for healthy physical, emotional, and cognitive functioning, including memory. However, sleep ability worsens with increasing age. Older adults on average have shorter sleep durations and more disrupted sleep compared with younger adults. Age-related sleep changes are thought to contribute to age-related deficits in episodic memory. Nonetheless, the nature of the relationship between sleep and episodic memory deficits in older adults is still unclear. Further complicating this relationship are age-related changes in circadian rhythms such as the shift in chronotype toward morningness and decreased circadian stability, which may influence memory abilities as well. Most sleep and cognitive aging studies do not account for circadian factors, making it unclear whether age-related and sleep-related episodic memory deficits are partly driven by interactions with circadian rhythms. This review will focus on age-related changes in sleep and circadian rhythms and evidence that these factors interact to affect episodic memory, specifically encoding and retrieval. Open questions, methodological considerations, and clinical implications for diagnosis and monitoring of age-related memory impairments are discussed.
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Affiliation(s)
- Elyse J Carlson
- School of Psychology, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Kristine A Wilckens
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Mark E Wheeler
- School of Psychology, Georgia Institute of Technology, Atlanta, Georgia, USA
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14
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Blackwell TL, Figueiro MG, Tranah GJ, Zeitzer JM, Yaffe K, Ancoli-Israel S, Kado DM, Ensrud KE, Lane NE, Leng Y, Stone KL. Associations of 24-Hour Light Exposure and Activity Patterns and Risk of Cognitive Impairment and Decline in Older Men: The MrOS Sleep Study. J Gerontol A Biol Sci Med Sci 2023; 78:1834-1843. [PMID: 36156079 PMCID: PMC10562886 DOI: 10.1093/gerona/glac187] [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: 04/27/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Older men with the worse alignment of activity and light may have lower levels of cognition and increased rates of cognitive decline. METHODS This cohort consisted of 1 036 older men (81.1 ± 4.6 years) from the MrOS Sleep Study (2009-2012). Light and activity levels were gathered by wrist actigraphy. Phasor analysis was used to quantify the alignment of light-dark and rest-activity patterns (magnitude) and their temporal relationship (angle). Global cognitive function (Modified Mini-Mental State examination [3MS]) and executive function (Trails B test) were measured, then repeated 4.2 ± 0.8 years later. Linear regression models examined the associations of phasor magnitude and angle with cognition and cognitive decline. Models were adjusted for age, clinic, race, education, and season. RESULTS Smaller phasor magnitude (worse aligned light and activity patterns) was associated with lower initial level and increased decline in executive function. Compared to those with higher phasor magnitude, those with lower magnitude took an average of 11.1 seconds longer to complete the Trails B test (quartile 1 vs quartile 4, p = .02). After follow-up, Trails B completion time increased an average of 5.5 seconds per standard deviation decrease in phasor magnitude (95% confidence interval [CI] 0.7-10.4, p = .03). There were no associations with phasor angle, and none with magnitude and global cognition (3MS). CONCLUSION Among older men, worse alignment of light and activity patterns was associated with worse initial performance and increased decline in executive function, but not related to global cognition. Interventions that improve the alignment of light and activity may slow cognitive decline in older adults.
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Affiliation(s)
- Terri L Blackwell
- Research Institute, California Pacific Medical Center, San Francisco, California,USA
| | - Mariana G Figueiro
- Department of Population Health Science and Policy, Light and Health Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Gregory J Tranah
- Research Institute, California Pacific Medical Center, San Francisco, California,USA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Center for Sleep and Circadian Sciences, Stanford University, Palo Alto, California, USA
- Mental Illness Research, Education, and Clinical Center, VA Palo Alto Health Care System, Palo Alto, California, USA
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology, University of California, San Francisco, California,USA
- the San Francisco VA Medical Center
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Deborah M Kado
- Department of Medicine, Stanford University, Stanford, California and VA Palo Alto, Palo Alto, California, USA
- Geriatric Research Education and Clinical Center (GRECC), VA Palo Alto, Palo Alto, California, USA
| | - Kristine E Ensrud
- Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota, USA
- Division of Epidemiology and Community Health, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Nancy E Lane
- Department of Medicine, Center for Musculoskeletal Health, University of California at Davis School of Medicine, Sacramento, California, USA
- Department of Epidemiology, University of California at San Francisco, San Francisco, California,USA
| | - Yue Leng
- Department of Psychiatry, University of California, San Francisco, California,USA
| | - Katie L Stone
- Research Institute, California Pacific Medical Center, San Francisco, California,USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California,USA
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15
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Kim HJ, Kim REY, Kim S, Lee SK, Lee HW, Shin C. Earlier chronotype in midlife as a predictor of accelerated brain aging: a population-based longitudinal cohort study. Sleep 2023; 46:zsad108. [PMID: 37061816 DOI: 10.1093/sleep/zsad108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 02/28/2023] [Indexed: 04/17/2023] Open
Abstract
STUDY OBJECTIVES Evidence suggests that sleep-wake cycle disruption could be an early manifestation of neurodegeneration and might even be a risk factor for developing diseases in healthy adults. We investigated the impact of circadian phase change on structural and functional brain deterioration in a late-adulthood population. METHODS We analyzed the data of 1874 participants (mean age 58.6 ± 6.3 years, 50.3% female) from the Korean Genome and Epidemiology Study, who were identified as cognitively unimpaired. The mid-sleep time on free days corrected for sleep debt on workdays (MSFsc) at baseline was adopted as an indicator of the chronotype and used to categorize the participants into three groups. The relationships between the chronotype and longitudinal changes in the gray matter volume (GMV) and cognitive function were investigated (mean interval: 4.2 ± 0.5 years). RESULTS The mean MSFsc of the participants was 2:45 am. The earlier MSFsc was linearly associated with smaller right entorhinal GMV (β [SE] = 0.02 [0.01]; p = .001) and lower visual memory function test scores at baseline. Longitudinally, the earlier MSFsc at baseline was only significantly associated with more rapid atrophy in the temporal lobe (β [SE] = 0.18 [0.07]; p = .018) and not with other brain lobes or subregions. Moreover, the earlier MSFsc was associated with more deteriorated verbal learning and visual memory function test scores. CONCLUSIONS An earlier chronotype in midlife, measured using a questionnaire, can be a valuable indicator for individuals who should be closely monitored for the development of neurodegenerative disorders.
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Affiliation(s)
- Hyeon Jin Kim
- Department of Neurology, Korea University Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
- Departments of Neurology and Medical Science, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, Republic of Korea
| | - Regina E Y Kim
- Institute of Human Genomic Study, College of Medicine, Korea University, Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Soriul Kim
- Institute of Human Genomic Study, College of Medicine, Korea University, Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Seung Ku Lee
- Institute of Human Genomic Study, College of Medicine, Korea University, Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
| | - Hyang Woon Lee
- Departments of Neurology and Medical Science, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, Republic of Korea
- Computational Medicine, Graduate Programs in System Health Science & Engineering and Artificial Intelligence Convergence, Ewha Womans University, Seoul, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, College of Medicine, Korea University, Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
- Biomedical Research Center, Korea University Ansan Hospital, Ansan, Gyeonggi, Republic of Korea
- College of Medicine, Korea University, Seoul, Republic of Korea
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16
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Gao L, Li P, Gaykova N, Zheng X, Gao C, Lane JM, Saxena R, Scheer FAJL, Rutter MK, Akeju O, Hu K. Circadian Rest-Activity Rhythms, Delirium Risk, and Progression to Dementia. Ann Neurol 2023; 93:1145-1157. [PMID: 36808743 PMCID: PMC10247440 DOI: 10.1002/ana.26617] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE Delirium is a complex neurocognitive syndrome suspected to be bidirectionally linked to dementia. Circadian rhythm disturbances likely contribute to dementia pathogenesis, but whether these disturbances are related to delirium risk and progression to all-cause dementia is unknown. METHODS We analyzed continuous actigraphy data from 53,417 middle-aged or older UK Biobank participants during a median 5 years of follow-up. Four measures were used to characterize the 24-hour daily rest-activity rhythms (RARs): normalized amplitude, acrophase representing the peak activity time, interdaily stability, and intradaily variability (IV) for fragmentation of the rhythm. Cox proportional hazards models examined whether RARs predicted incident delirium (n = 551) and progression to dementia (n = 61). RESULTS Suppressed 24-hour amplitude, lowest (Q1) versus highest (Q4) quartile (hazard ratio [HR]Q1 vs Q4 = 1.94, 95% confidence interval [CI] = 1.53-2.46, p < 0.001), and more fragmented (higher IV: HRQ4 vs Q1 = 1.49, 95% CI = 1.18-1.88, p < 0.001) rhythms predicted higher delirium risk, after adjusting for age, sex, education, cognitive performance, sleep duration/disturbances, and comorbidities. In those free from dementia, each hour of delayed acrophase was associated with delirium risk (HR = 1.13, 95% CI = 1.04-1.23, p = 0.003). Suppressed 24-hour amplitude was associated with increased risk of progression from delirium to new onset dementia (HR = 1.31, 95% CI = 1.03-1.67, p = 0.03 for each 1-standard deviation decrease). INTERPRETATION Twenty-four-hour daily RAR suppression, fragmentation, and potentially delayed acrophase were associated with delirium risk. Subsequent progression to dementia was more likely in delirium cases with suppressed rhythms. The presence of RAR disturbances before delirium and prior to progression to dementia suggests that these disturbances may predict higher risk and be involved in early disease pathogenesis. ANN NEUROL 2023;93:1145-1157.
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Affiliation(s)
- Lei Gao
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Peng Li
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Nicole Gaykova
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Xi Zheng
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Chenlu Gao
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Jacqueline M Lane
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Richa Saxena
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Frank A J L Scheer
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Martin K Rutter
- Division of Diabetes, Endocrinology, and Gastroenterology, University of Manchester, Manchester, UK
- Diabetes Endocrinology and Metabolism Centre, Manchester University National Health Service Foundation Trust, Manchester, UK
| | - Oluwaseun Akeju
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kun Hu
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
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17
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Circadian disruption and sleep disorders in neurodegeneration. Transl Neurodegener 2023; 12:8. [PMID: 36782262 PMCID: PMC9926748 DOI: 10.1186/s40035-023-00340-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 02/03/2023] [Indexed: 02/15/2023] Open
Abstract
Disruptions of circadian rhythms and sleep cycles are common among neurodegenerative diseases and can occur at multiple levels. Accumulating evidence reveals a bidirectional relationship between disruptions of circadian rhythms and sleep cycles and neurodegenerative diseases. Circadian disruption and sleep disorders aggravate neurodegeneration and neurodegenerative diseases can in turn disrupt circadian rhythms and sleep. Importantly, circadian disruption and various sleep disorders can increase the risk of neurodegenerative diseases. Thus, harnessing the circadian biology findings from preclinical and translational research in neurodegenerative diseases is of importance for reducing risk of neurodegeneration and improving symptoms and quality of life of individuals with neurodegenerative disorders via approaches that normalize circadian in the context of precision medicine. In this review, we discuss the implications of circadian disruption and sleep disorders in neurodegenerative diseases by summarizing evidence from both human and animal studies, focusing on the bidirectional links of sleep and circadian rhythms with prevalent forms of neurodegeneration. These findings provide valuable insights into the pathogenesis of neurodegenerative diseases and suggest a promising role of circadian-based interventions.
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18
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Moon C, Benson CJ, Albashayreh A, Perkhounkova Y, Burgess HJ. Sleep, circadian rhythm characteristics, and melatonin levels in later life adults with and without coronary artery disease. J Clin Sleep Med 2023; 19:283-292. [PMID: 36148612 PMCID: PMC9892726 DOI: 10.5664/jcsm.10308] [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: 04/25/2022] [Revised: 09/17/2022] [Accepted: 09/19/2022] [Indexed: 02/04/2023]
Abstract
STUDY OBJECTIVES The purpose of this study was to conduct a comprehensive assessment of sleep and circadian rhythms in individuals with and without coronary artery disease (CAD). METHODS This was a cross-sectional study. Participants were 32 individuals, mean age = 70.9, female 46.9%, 19 with CAD, and 13 without CAD. We assessed sleep quality and 24-hour rest-activity rhythms for 14 days using wrist actigraphy and self-report measures, and circadian rhythm using dim light melatonin onset. RESULTS Melatonin levels prior to habitual bedtime were significantly lower in individuals with CAD than in those without CAD (median area under the curve = 12.88 vs 26.33 pg/ml × h, P = .049). The median circadian timing measured by dim light melatonin onset was the same for the 2 groups with 20:26 [hours:minutes] for individuals with CAD and 19:53 for the control group (P = .64, r = .14). Compared to the control group, the CAD group had significantly lower amplitude (P = .03, r =-.48), and lower overall rhythmicity (pseudo-F-statistic P = .004, r = -.65) in their 24-hour rest-activity rhythms. CONCLUSIONS This is one of the first studies to comprehensively assess both sleep and circadian rhythm in individuals with CAD. Compared to non-CAD controls, individuals with CAD had lower levels of melatonin prior to habitual bedtime and a lower 24-hour rest-activity rhythm amplitude and overall rhythmicity. Future studies using larger sample sizes should further investigate the possibility of suppressed circadian rhythmicity in individuals with CAD. CITATION Moon C, Benson CJ, Albashayreh A, Perkhounkova Y, Burgess HJ. Sleep, circadian rhythm characteristics, and melatonin levels in later life adults with and without coronary artery disease. J Clin Sleep Med. 2023;19(2):283-292.
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Affiliation(s)
- Chooza Moon
- University of Iowa College of Nursing, Iowa City, Iowa
| | - Christopher J. Benson
- University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa
| | | | | | - Helen J. Burgess
- University of Michigan, Sleep and Circadian Research Laboratory, Department of Psychiatry, Ann Arbor, Michigan
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19
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Association of circadian rhythm with mild cognitive impairment among male pneumoconiosis workers in Hong Kong: a cross-sectional study. Sci Rep 2023; 13:1650. [PMID: 36717700 PMCID: PMC9885413 DOI: 10.1038/s41598-023-28832-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
Weakened circadian activity rhythms (CARs) were associated with mild cognitive impairment (MCI) in the general population. However, it remains unclear among pneumoconiosis patients. We aimed to address this knowledge gap. This cross-sectional study comprised 186 male pneumoconiosis patients (71.3 ± 7.8 years) and 208 healthy community men. Actigraphy was used to determine CARs parameters (percent rhythm, amplitude, MESOR, and acrophase). Values below the corresponding medians of the CARs parameters represented weakened CARs. The Cantonese version of Mini-Mental State Examination (CMMSE) was used to assess cognitive function, MCI, and the composite outcome of MCI plus cognitive impairment. Compared with the community referents, pneumoconiosis patients had worse cognition and dampened CARs. Compared with the community referents or pneumoconiosis patients with robust circadian rhythm, pneumoconiosis patients with weakened circadian rhythm were consistently associated with increased risk of MCI and the composite outcome. However, significant association was only observed between MESOR and the composite outcome (adjusted OR = 1.99, 95%: 1.04-3.81). A delayed phase of CARs was insignificantly associated with MCI and the composite outcome. Our findings showed that weakened CARs were associated with worse cognitive function among male pneumoconiosis workers. Intervention in improving CARs may mitigate cognitive deterioration in male pneumoconiosis workers.
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Lee KW, Yang CC, Chen CH, Hung CH, Chuang HY. Shift work is significantly and positively associated with dementia: A meta-analysis study. Front Public Health 2023; 11:998464. [PMID: 36875407 PMCID: PMC9978382 DOI: 10.3389/fpubh.2023.998464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/31/2023] [Indexed: 02/18/2023] Open
Abstract
Background Shift work may disrupt the sleep and wake cycles and negatively affect physical and mental health. Dementia is a neurodegenerative disorder with progressively declining cognition that is receiving increasing attention. Studies on the association between shift work and dementia are rare. Herein, we conducted a meta-analysis to investigate the association between shift work and dementia. Materials and methods This study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the PubMed, Embase, and Web of Science databases using a related set of keywords. The inclusion criteria were as follows: (1) adult employees working in a factory, company, or organization; (2) exposure to shift work/non-shift work; and (3) outcome of dementia based on examination or assessment. A meta-analysis using a fixed-effects model was performed. The hazard ratio of dementia was compared between shift workers and non-shift workers. Results Five studies were included in the quantitative synthesis, and two were selected for further meta-analysis. A random-effects model showed a modest association between shift work and an increase in dementia cases (pooled hazard ratio = 1.13; 95% confidence interval: 1.04-1.23; p = 0.04). This association also occurred in night workers for more than 1 year. Conclusion Shift work and long-term night work were modestly associated with a higher risk of developing dementia. Avoiding long-term night shifts may be effective in reducing dementia risk. Further studies are required to confirm this hypothesis.
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Affiliation(s)
- Kuo-Wei Lee
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,College of Medicine, Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chen-Cheng Yang
- College of Medicine, Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Hung Chen
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Hsing Hung
- Environmental and Occupational Medicine Center, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Yi Chuang
- Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Public Health and Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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21
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Asadpoordezaki Z, Coogan AN, Henley BM. Chronobiology of Parkinson's disease: Past, present and future. Eur J Neurosci 2023; 57:178-200. [PMID: 36342744 PMCID: PMC10099399 DOI: 10.1111/ejn.15859] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/09/2022]
Abstract
Parkinson's disease is a neurodegenerative disorder predominately affecting midbrain dopaminergic neurons that results in a broad range of motor and non-motor symptoms. Sleep complaints are among the most common non-motor symptoms, even in the prodromal period. Sleep alterations in Parkinson's disease patients may be associated with dysregulation of circadian rhythms, intrinsic 24-h cycles that control essential physiological functions, or with side effects from levodopa medication and physical and mental health challenges. The impact of circadian dysregulation on sleep disturbances in Parkinson's disease is not fully understood; as such, we review the systems, cellular and molecular mechanisms that may underlie circadian perturbations in Parkinson's disease. We also discuss the potential benefits of chronobiology-based personalized medicine in the management of Parkinson's disease both in terms of behavioural and pharmacological interventions. We propose that a fuller understanding of circadian clock function may shed important new light on the aetiology and symptomatology of the disease and may allow for improvements in the quality of life for the millions of people with Parkinson's disease.
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Affiliation(s)
- Ziba Asadpoordezaki
- Department of Psychology, Maynooth University, Maynooth, Co Kildare, Ireland.,Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co Kildare, Ireland
| | - Andrew N Coogan
- Department of Psychology, Maynooth University, Maynooth, Co Kildare, Ireland.,Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co Kildare, Ireland
| | - Beverley M Henley
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co Kildare, Ireland
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22
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Jeon SY, Byun MS, Yi D, Jung G, Lee JY, Kim YK, Sohn CH, Kang KM, Lee YJ, Lee DY. Circadian rest-activity rhythm and longitudinal brain changes underlying late-life cognitive decline. Psychiatry Clin Neurosci 2022; 77:205-212. [PMID: 36527292 PMCID: PMC10360409 DOI: 10.1111/pcn.13521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/02/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
AIM The neurobiological substrates underlying the relationship of circadian rest-activity rhythm (RAR) alteration with accelerated late-life cognitive decline are not clearly understood. In the present study, the longitudinal relationship of objectively measured circadian RAR with in vivo Alzheimer disease (AD) pathologies and cerebrovascular injury was investigated in older adults without dementia. METHODS The present study included 129 participants without dementia who participated in the KBASE (Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's Disease) cohort. All participants underwent actigraphy at baseline and two consecutive [11 C] Pittsburgh compound-B positron emission tomography (PET), [18 F] fluorodeoxyglucose-PET, magnetic resonance imaging, and Mini-Mental State Examination (MMSE) at baseline and at a 2-year follow-up assessment. The associations of circadian RAR with annualized change in neuroimaging measures including global amyloid-beta retention, AD-signature region cerebral glucose metabolism (AD-CM), and white matter hyperintensity volume were examined. RESULTS Delayed acrophase at baseline was significantly associated with greater annualized decline of AD-CM over a 2-year period, but not with that of other neuroimaging measures. In contrast, other circadian RAR parameters at baseline had no association with annualized change of any neuroimaging measures. Annualized decline of AD-CM was also significantly positively associated with the annual change in MMSE scores. Furthermore, a mediation analysis showed that greater reduction in AD-CM mediated the effect of delayed acrophase at baseline on faster decline of MMSE score. CONCLUSION The findings indicate that delayed acrophase in late life may cause or predict hypometabolism at AD-signature brain regions, which underlies cognitive decline in the near future.
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Affiliation(s)
- So Yeon Jeon
- Department of Psychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea.,Department of Psychiatry, Chungnam National University College of Medicine, Daejeon, Republic of Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Centre, Seoul National University, Seoul, South Korea
| | - Gijung Jung
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University College of Medcine, Seoul, South Korea.,Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Yu Jin Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Young Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Human Behavioral Medicine, Medical Research Centre, Seoul National University, Seoul, South Korea
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23
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Fragmentation, circadian amplitude, and fractal pattern of daily-living physical activity in people with multiple sclerosis: Is there relevant information beyond the total amount of physical activity? Mult Scler Relat Disord 2022; 68:104108. [PMID: 36063732 DOI: 10.1016/j.msard.2022.104108] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/12/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Physical activity is lower in people with multiple sclerosis (pwMS) compared to healthy controls. Previous work focused on studying activity levels or activity volume, but studies of daily-living rest-activity fragmentation patterns, circadian rhythms, and fractal regulation in pwMS are limited. Based on findings in other cohorts, one could suggest that these aspects of daily-living physical activity will provide additional information about the health and well-being of pwMS. Therefore, here, we aimed to (1) identify which fragmentation, fractal, and circadian amplitude measures differ between pwMS and healthy controls, (2) evaluate the relationship between fragmentation, fractal, and circadian amplitude measures and disease severity, and (3) begin to evaluate the added value of those measures, as compared to more conventional measures of physical activity (e.g., mean signal vector magnitude (SVM). A global measure of the overall volume of physical activity). METHODS 132 people with relapsing-remitting MS (47±11 yrs, 69.7% female, Expanded Disability Status Scale, EDSS, median (IQR): 3 (2-4)) and 90 healthy controls (46±11 yrs, 47.8% female) were asked to wear a 3D accelerometer on their lower back for 7 days. Rest-activity fragmentation, circadian amplitude, fractal regulation, and mean SVM metrics were extracted. PwMS and healthy controls were compared using independent samples t-tests and linear regression, including comparisons adjusted for mean SVM to control for the effect of physical activity volume. Spearman correlations between measures and logistic regressions were used to identify the clinical condition based on the measures that differed significantly after adjusting for SVM. All analyses included adjustments for demographic and clinical parameters (e.g., age, sex). RESULTS Multiple measures of activity fragmentation significantly differed between pwMS and healthy controls, reflecting a more fragmented active behavior in pwMS. PwMS had a lower circadian rhythm amplitude, indicating a smaller amplitude in the circadian changes of daily activity, and weaker temporal correlations as based on the fractal analysis. When taking into account physical activity volume, one circadian amplitude measure and one fractal measure remained significantly different in pwMS and controls. Fragmentation measures and circadian amplitude measures were significantly associated with disability level as measured by the EDSS; the association with circadian amplitude remained significant, even after adjusting for the mean SVM. CONCLUSION The physical activity patterns of pwMS differ from those of healthy individuals in rest-activity fragmentation, the amplitude of the circadian rhythm, and fractal regulation. Measures describing these aspects of activity provide information that is not captured in the total volume of physical activity and could, perhaps, augment the monitoring of disease progression and evaluation of the response to interventions.
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24
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Rabinowitz JA, An Y, He L, Alfini AJ, Zipunnikov V, Wu MN, Wanigatunga SK, Schrack JA, Jackson CL, Ferrucci L, Simonsick EM, Resnick SM, Spira AP. Associations of circadian rest/activity rhythms with cognition in middle-aged and older adults: Demographic and genetic interactions. Front Neurosci 2022; 16:952204. [PMID: 36312032 PMCID: PMC9597505 DOI: 10.3389/fnins.2022.952204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Wrist actigraphs (accelerometers) can record motor activity over multiple days and nights. The resulting data can be used to quantify 24-h activity profiles, known as circadian rest-activity rhythms (CRARs). Actigraphic CRARs have been tied to cognitive performance and decline in older adults; however, little is known about links between CRARs and performance or change in specific cognitive domains, or how individual differences may influence these associations. We investigated associations of actigraphic CRARs with cognitive performance and change in middle-aged and older adults, and explored whether age, sex/gender, race, and apolipoprotein E (APOE) e4 carrier status moderated these associations. Materials and methods Participants (N = 422; 47% male) were cognitively healthy adults (i.e., without mild cognitive impairment or dementia) at baseline aged ≥ 50 years from the Baltimore Longitudinal Study of Aging who completed 5.6 ± 0.89 nights of wrist actigraphy and tests of memory, executive function, attention, language, and visuospatial ability at the same visit the actigraph was issued; 292 participants had repeat cognitive testing 3.12 (1.58) years later. Predictors included indices of rhythm strength [i.e., amplitude; relative amplitude (RA); interdaily stability (IS); mesor], delayed timing of the rhythm peak [i.e., later acrophase; midpoint of an individual's least active 5 h (L5 time); midpoint of an individual's most active 10 h (M10 time)], and fragmentation [i.e., intradaily variability (IV)]. Results In main effects, later L5 time was cross sectionally associated with poorer memory, and greater IS predicted slower longitudinal memory decline. Associations of CRARs with cognition differed as a function of age, sex/gender, race, and APOE e4 carrier status. Conclusion Among middle-aged and older adults, delayed circadian phase is associated with poorer memory performance, and greater day-to-day rhythm stability is associated with slower declines in memory. Significant interactions suggest that CRARs are generally more strongly associated with cognitive performance and rate of cognitive decline among women, Black adults, older individuals, and APOE e4 carriers. Replication in independent samples is needed.
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Affiliation(s)
- Jill A. Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Yang An
- Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Linchen He
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Alfonso J. Alfini
- National Center on Sleep Disorders Research, Division of Lung Diseases, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
- Department of Neurology and Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Mark N. Wu
- National Center on Sleep Disorders Research, Division of Lung Diseases, National Heart, Lung, and Blood Institute, Bethesda, MD, United States
- Department of Neurology and Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Sarah K. Wanigatunga
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jennifer A. Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Center on Aging and Health, Johns Hopkins University, Baltimore, MD, United States
| | - Chandra L. Jackson
- Epidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, United States
- Intramural Research Program, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Eleanor M. Simonsick
- Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Susan M. Resnick
- Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Adam P. Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Center on Aging and Health, Johns Hopkins University, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States
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25
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Xiao Q, Shadyab AH, Rapp SR, Stone KL, Yaffe K, Sampson JN, Chen JC, Hayden KM, Henderson VW, LaCroix AZ. Rest-activity rhythms and cognitive impairment and dementia in older women: Results from the Women's Health Initiative. J Am Geriatr Soc 2022; 70:2925-2937. [PMID: 35708069 PMCID: PMC9588636 DOI: 10.1111/jgs.17926] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/10/2022] [Accepted: 05/23/2022] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Growing evidence suggests that impairment in rest-activity rhythms may be a risk factor for cognitive decline and impairment in the aging population. However, previous studies included only a limited set of rest-activity metrics and produced mixed findings. We studied a comprehensive set of parametric and nonparametric characteristics of rest-activity rhythms in relation to mild cognitive impairment (MCI) and probable dementia in a cohort of older women. METHODS The prospective analysis included 763 women enrolled in two ancillary studies of the Women's Health Initiative (WHI): the WHI Memory Study-Epidemiology of Cognitive Health Outcomes and Objective Physical Activity and Cardiovascular Health studies. The association between accelerometry-based rest-activity parameters and centrally adjudicated MCI and probable dementia were determined using Cox regression models adjusted for sociodemographic characteristics, lifestyle factors, and comorbidities. RESULTS Overall, the results support a prospective association between weakened rest-activity rhythms (e.g., reduced amplitude and overall rhythmicity) and adverse cognitive outcomes. Specifically, reduced overall rhythmicity (pseudo F statistic), lower amplitude and activity level (amplitude/relative amplitude, mesor, and activity level during active periods of the day [M10]), and later activity timing (acrophase and midpoint of M10) were associated with a higher risk for MCI and probable dementia. Women with lower amplitude and mesor also exhibited faster cognitive decline over follow-up. CONCLUSION Weakened rest-activity rhythms may be predictive markers for cognitive decline, MCI, and dementia among older women.
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Affiliation(s)
- Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Health, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Stephen R. Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston Salem, NC
| | - Katie L. Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA
| | - Kristin Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Joshua N. Sampson
- Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, University of Southern California, Los Angeles, CA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | - Victor W. Henderson
- Department of Epidemiology and Population Health and Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
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26
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HSSG: Identification of Cancer Subtypes Based on Heterogeneity Score of A Single Gene. Cells 2022; 11:cells11152456. [PMID: 35954300 PMCID: PMC9368717 DOI: 10.3390/cells11152456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/02/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022] Open
Abstract
Cancer is a highly heterogeneous disease, which leads to the fact that even the same cancer can be further classified into different subtypes according to its pathology. With the multi-omics data widely used in cancer subtypes identification, effective feature selection is essential for accurately identifying cancer subtypes. However, the feature selection in the existing cancer subtypes identification methods has the problem that the most helpful features cannot be selected from a biomolecular perspective, and the relationship between the selected features cannot be reflected. To solve this problem, we propose a method for feature selection to identify cancer subtypes based on the heterogeneity score of a single gene: HSSG. In the proposed method, the sample-similarity network of a single gene is constructed, and pseudo-F statistics calculates the heterogeneity score for cancer subtypes identification of each gene. Finally, we construct gene-gene networks using genes with higher heterogeneity scores and mine essential genes from the networks. From the seven TCGA data sets for three experiments, including cancer subtypes identification in single-omics data, the performance in feature selection of multi-omics data, and the effectiveness and stability of the selected features, HSSG achieves good performance in all. This indicates that HSSG can effectively select features for subtypes identification.
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27
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Wu LM, Valdimarsdottir HB, Amidi A, Reid KJ, Ancoli-Israel S, Bovbjerg K, Fox RS, Walker L, Matharu A, Kaseda ET, Galvin JP, Adekola K, Winkel G, Penedo F, Redd WH. Examining the Efficacy of Bright Light Therapy on Cognitive Function in Hematopoietic Stem Cell Transplant Survivors. J Biol Rhythms 2022; 37:471-483. [PMID: 35904252 DOI: 10.1177/07487304221107833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Patients who have undergone hematopoietic stem cell transplant (HSCT) may experience cognitive impairment that can persist after treatment. Several studies have shown that bright light therapy may improve cognition, potentially due to its effects on the circadian system via brain regions that respond preferentially to light. In this double-blind randomized controlled trial, the efficacy of bright light therapy on cognition was examined in HSCT survivors. Forty-seven HSCT survivors at an urban hospital in the United States were screened for mild cognitive impairment, randomized to either bright white light (BWL) or comparison dim red light (DRL) conditions using a block randomization approach, and instructed to use their assigned light box every morning upon awakening for 30 min for 4 weeks. Assessments occurred at baseline, the end of the second week of the intervention, the end of the intervention, and at follow-up (8 weeks later). The primary outcome was objective cognitive function as measured by a global composite score on neuropsychological tests. Secondary outcomes included cognitive performance in individual domains, self-reported cognitive function, fatigue, sleep and sleep quality, and circadian rhythm robustness. Repeated-measures linear mixed models for both objective and self-reported cognitive function indicated significant main effects for time (ps < 0.05) suggesting significant improvements in both conditions over time. Time by light condition interaction effects were not significant. Models focused on secondary outcomes yielded no significant effects. Both BWL and DRL groups demonstrated significant improvements in objective cognitive and self-reported cognitive function over time, but there was no hypothesized effect of BWL over DRL nor associations with circadian rhythm robustness. Therapeutic effects of both light conditions, practice effects, and/or placebo effects may account for the findings.Trial registration: ClinicalTrials.gov Identifier: NCT02677987 (9 February 2016).
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Affiliation(s)
- Lisa M Wu
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark.,Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Heiddis B Valdimarsdottir
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.,Department of Psychology, Reykjavik University, Reykjavik, Iceland
| | - Ali Amidi
- Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark
| | - Kathryn J Reid
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sonia Ancoli-Israel
- Department of Psychiatry, School of Medicine, University of California San Diego, San Diego, California, USA
| | - Katrin Bovbjerg
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Rina S Fox
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,College of Nursing, The University of Arizona, Tucson, Arizona, USA
| | - Lauren Walker
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amreen Matharu
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Erin T Kaseda
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA
| | - John P Galvin
- Department of Internal Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kehinde Adekola
- Division of Hematology and Oncology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Gary Winkel
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Frank Penedo
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida, USA
| | - William H Redd
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
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28
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Abstract
With aging, there are normative changes to sleep physiology and circadian rhythmicity that may predispose older adults to sleep deficiency, whereas many health-related and psychosocial/behavioral factors may precipitate sleep deficiency. In this article, we describe age-related changes to sleep and describe how the health-related and psychosocial/behavioral factors typical of aging may converge in older adults to increase the risk for sleep deficiency. Next, we review the consequences of sleep deficiency in older adults, focusing specifically on important age-related outcomes, including mortality, cognition, depression, and physical function. Finally, we review treatments for sleep deficiency, highlighting safe and effective nonpharmacologic interventions.
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Affiliation(s)
- Jane Alexandra Pappas
- San Juan Bautista School of Medicine, Salida 21 Carr. 172 Urb. Turabo Gardens, Caguas 00726, Puerto Rico
| | - Brienne Miner
- Section of Geriatrics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
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29
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Xiao Q, Lu J, Zeitzer JM, Matthews CE, Saint-Maurice PF, Bauer C. Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis. Int J Behav Nutr Phys Act 2022; 19:32. [PMID: 35331274 PMCID: PMC8944104 DOI: 10.1186/s12966-022-01274-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 03/04/2022] [Indexed: 11/30/2022] Open
Abstract
Background The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being. Functional principal component analysis (fPCA) is a flexible approach for characterizing rest-activity rhythms and does not rely on a priori assumptions about the activity shape. The objective of our study is to apply fPCA to a nationally representative sample of American adults to characterize variations in the 24-h rest-activity pattern, determine how the pattern differs according to demographic, socioeconomic and work characteristics, and examine its associations with general health status. Methods The current analysis used data from adults 25 or older in the National Health and Nutrition Examination Survey (NHANES, 2011–2014). Using 7-day 24-h actigraphy recordings, we applied fPCA to derive profiles for overall, weekday and weekend rest-activity patterns. We examined the association between each rest-activity profile in relation to age, gender, race/ethnicity, education, income and working status using multiple linear regression. We also used multiple logistic regression to determine the relationship between each rest-activity profile and the likelihood of reporting poor or fair health. Results We identified four distinct profiles (i.e., high amplitude, early rise, prolonged activity window, biphasic pattern) that together accounted for 86.8% of total variation in the study sample. We identified numerous associations between each rest-activity profile and multiple sociodemographic characteristics. We also found evidence suggesting the associations differed between weekdays and weekends. Finally, we reported that the rest-activity profiles were associated with self-rated health. Conclusions Our study provided evidence suggesting that rest-activity patterns in human populations are shaped by multiple demographic, socioeconomic and work factors, and are correlated with health status. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-022-01274-4.
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Affiliation(s)
- Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Health, School of Public Health, the University of Texas Health Science Center at Houston, 1200 Pressler St., TX, Houston, USA.
| | - Jiachen Lu
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, 1200 Pressler St., TX, Houston, USA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Charles E Matthews
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Pedro F Saint-Maurice
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cici Bauer
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, 1200 Pressler St., TX, Houston, USA.
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Duncan M, Guerriero L, Kohler K, Beechem L, Gillis B, Salisbury F, Wessel C, Wang J, Sunderam S, Bachstetter A, O’Hara B, Murphy M. Chronic Fragmentation of the Daily Sleep-Wake Rhythm Increases Amyloid-beta Levels and Neuroinflammation in the 3xTg-AD Mouse Model of Alzheimer's Disease. Neuroscience 2022; 481:111-122. [PMID: 34856352 PMCID: PMC8941625 DOI: 10.1016/j.neuroscience.2021.11.042] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 01/17/2023]
Abstract
Fragmentation of the daily sleep-wake rhythm with increased nighttime awakenings and more daytime naps is correlated with the risk of development of Alzheimer's disease (AD). To explore whether a causal relationship underlies this correlation, the present study tested the hypothesis that chronic fragmentation of the daily sleep-wake rhythm stimulates brain amyloid-beta (Aβ) levels and neuroinflammation in the 3xTg-AD mouse model of AD. Female 3xTg-AD mice were allowed to sleep undisturbed or were subjected to chronic sleep fragmentation consisting of four daily sessions of enforced wakefulness (one hour each) evenly distributed during the light phase, five days a week for four weeks. Piezoelectric sleep recording revealed that sleep fragmentation altered the daily sleep-wake rhythm to resemble the pattern observed in AD. Levels of amyloid-beta (Aβ40 and Aβ42) determined by ELISA were higher in hippocampal tissue collected from sleep-fragmented mice than from undisturbed controls. In contrast, hippocampal levels of tau and phospho-tau differed minimally between sleep fragmented and undisturbed control mice. Sleep fragmentation also stimulated neuroinflammation as shown by increased expression of markers of microglial activation and proinflammatory cytokines measured by q-RT-PCR analysis of hippocampal samples. No significant effects of sleep fragmentation on Aβ, tau, or neuroinflammation were observed in the cerebral cortex. These studies support the concept that improving sleep consolidation in individuals at risk for AD may be beneficial for slowing the onset or progression of this devastating neurodegenerative disease.
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Affiliation(s)
- M.J. Duncan
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536,Co-senior authors, address correspondence to M.J. Duncan at
| | - L.E. Guerriero
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - K. Kohler
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536
| | - L.E. Beechem
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536
| | - B.D. Gillis
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536
| | - F. Salisbury
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - C. Wessel
- Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536
| | - J. Wang
- Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506
| | - S. Sunderam
- Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506
| | - A.D. Bachstetter
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536,Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY 40536
| | - B.F. O’Hara
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - M.P. Murphy
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536,Co-senior authors, address correspondence to M.J. Duncan at
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31
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Ancoli-Israel S, Liu L, Natarajan L, Rissling M, Neikrug AB, Youngstedt SD, Mills PJ, Sadler GR, Dimsdale JE, Parker BA, Palmer BW. Reductions in sleep quality and circadian activity rhythmicity predict longitudinal changes in objective and subjective cognitive functioning in women treated for breast cancer. Support Care Cancer 2021; 30:3187-3200. [PMID: 34957532 PMCID: PMC8857013 DOI: 10.1007/s00520-021-06743-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 12/03/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To examine long-term cognitive effects of chemotherapy and identify predictors among women with breast cancer (WBC). PATIENTS AND METHODS Sixty-nine WBC scheduled to receive chemotherapy, and 64 matched-controls with no cancer, participated. Objective and subjective cognition, total sleep time, nap time, circadian activity rhythms (CAR), sleep quality, fatigue, and depression were measured pre-chemotherapy (Baseline), end of cycle 4 (Cycle-4), and one-year post-chemotherapy (1-Year). RESULTS WBC showed no change in objective cognitive measures from Baseline to Cycle-4 but significantly improved from both time points to 1-Year. Matched-controls showed an increase in test performance at all time points. WBC had significantly higher self-reported cognitive dysfunction at Cycle-4 and 1-Year compared to baseline and compared to matched-controls. Worse neuropsychological functioning was predicted by less robust CARs (i.e., inconsistent 24 h pattern), worse sleep quality, longer naps, and worse cognitive complaints. Worse subjective cognition was predicted by lower sleep quality and higher fatigue and depressed mood. CONCLUSION Objective testing showed increases in performance scores from pre- and post-chemotherapy to one year later in WBC, but matched-controls showed an increase in test performance from baseline to Cycle-4 and from Cycle-4 to 1-Year, likely due to a practice effect. The fact that WBC showed no practice effects may reflect a form of learning deficit. Compared with the matched-controls, WBC reported significant worsened cognitive function. In WBC, worse objective and subjective cognitive functioning were predicted by worse sleep and sleep-related behaviors (naps and CAR). Interventions that target sleep, circadian rhythms, and fatigue may benefit cognitive function in WBC.
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Affiliation(s)
- Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0737, USA. .,University of California, San Diego Moores Cancer Center, San Diego, CA, USA.
| | - Lianqi Liu
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Loki Natarajan
- University of California, San Diego Moores Cancer Center, San Diego, CA, USA.,Family Medicine and Public Health, University of California, San Diego, San Diego, CA, USA
| | - Michelle Rissling
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0737, USA
| | - Ariel B Neikrug
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Shawn D Youngstedt
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Paul J Mills
- Family Medicine and Public Health, University of California, San Diego, San Diego, CA, USA
| | - Georgia R Sadler
- University of California, San Diego Moores Cancer Center, San Diego, CA, USA.,Department of Surgery, University of California, San Diego, San Diego, CA, USA
| | - Joel E Dimsdale
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0737, USA.,University of California, San Diego Moores Cancer Center, San Diego, CA, USA
| | - Barbara A Parker
- University of California, San Diego Moores Cancer Center, San Diego, CA, USA.,Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Barton W Palmer
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0737, USA.,Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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Targa ADS, Benítez ID, Dakterzada F, Fontenele-Araujo J, Minguez O, Zetterberg H, Blennow K, Barbé F, Piñol-Ripoll G. The circadian rest-activity pattern predicts cognitive decline among mild-moderate Alzheimer's disease patients. Alzheimers Res Ther 2021; 13:161. [PMID: 34563258 PMCID: PMC8466995 DOI: 10.1186/s13195-021-00903-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/12/2021] [Indexed: 01/23/2023]
Abstract
BACKGROUND Alterations in circadian rhythms are present in the presymptomatic stage of Alzheimer's disease (AD), possibly contributing to its pathogenesis. However, it is unknown whether such alterations are associated with worse outcomes once individuals are diagnosed with symptomatic disease. We aimed to evaluate the association between the circadian rest-activity pattern and AD-related features in patients with mild-moderate AD. METHODS We assessed the circadian rest-activity pattern of consecutive patients with mild-moderate AD through actigraphy for 14 days. Cerebrospinal fluid was obtained to determine the levels of important pathological markers including amyloid-beta protein (Aβ42), phosphorylated tau (P-tau), total tau (T-tau), and neurofilament light (NF-L). Neuropsychological evaluation was conducted at the beginning of the study and after 12 months of follow-up. Linear regression models were performed considering the global population and Aβ42+ patients only. RESULTS The cohort included 100 patients with mild-moderate AD. The median age [p25;p75] was 76.0 [73.0;80.0] years and 63.0% were female. Older age (effect size [SE] of 0.324 [0.096]; p = 0.001) and male sex (0.780 [0.193]; p = 0.001) were associated with increased fragmentation and decreased synchronization of the rhythm, respectively. After adjusting for age, sex, and season of the year, increased levels of T-tau (effect size [95% CI] of 0.343 [0.139 to 0.547]; p = 0.001) and NF-L (0.444 [0.212 to 0.676]; p = 0.001) were associated with a higher amplitude of the rest-activity rhythm. Increased fragmentation of the rhythm at baseline was associated with greater cognitive decline after one year of follow-up independent of age, sex, T-tau/Aβ42 ratio, educational level, and season of the year (- 0.715 [- 1.272 to - 0.157]; p = 0.013). Similar findings were obtained considering only the Aβ42+ patients. CONCLUSIONS Our results suggest a potential role of the circadian rest-activity pattern in predicting the cognitive decline of patients with mild-moderate AD. Further studies are warranted to confirm these findings and to elucidate whether there is causality among the observed associations.
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Affiliation(s)
- Adriano D S Targa
- Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Iván D Benítez
- Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Faridé Dakterzada
- Unitat Trastorns Cognitius, Clinical Neuroscience Research, Hospital Universitari Santa Maria, IRBLleida, Lleida, Spain
| | - John Fontenele-Araujo
- Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Olga Minguez
- Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute, London, UK
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Ferran Barbé
- Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Clinical Neuroscience Research, Hospital Universitari Santa Maria, IRBLleida, Lleida, Spain.
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Xiao Q, Sampson JN, LaCroix AZ, Shadyab AH, Zeitzer JM, Ancoli-Israel S, Yaffe K, Stone K. Nonparametric parameters of 24-hour rest-activity rhythms and long-term cognitive decline and incident cognitive impairment in older men. J Gerontol A Biol Sci Med Sci 2021; 77:250-258. [PMID: 34558603 DOI: 10.1093/gerona/glab275] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Indexed: 11/14/2022] Open
Abstract
Altered 24-hour rest-activity rhythms may be associated with cognitive impairment in older adults, but evidence from prospective studies is limited. Non-parametric methods were used to assess actigraphy-based activity patterns in 2,496 older men. Incident cognitive impairment was assessed four times over 12 years using the Modified Mini Mental State Examination (3MS) and Trails B tests, self-reported medication use, and clinical diagnosis. The highest quartile (vs. the lowest) of intradaily variability and the lowest quartiles (vs. the highest) of interdaily stability and relative amplitude were associated with incident cognitive impairment ((Hazard ratio (95% confidence interval): 1.82 (1.31, 2.53)), 1.36 (0.99, 1.86), and 1.85 (1.33, 2.56), respectively). A larger increase in intradaily variability over 7.5 years was associated with a greater subsequent decline in 3MS scores but not in Trails B performance. In conclusion, less stable and more variable rest-activity rhythms may represent early biomarkers of cognitive impairment in older men.
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Affiliation(s)
- Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Health, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Jamie M Zeitzer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.,Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto CA
| | - Sonia Ancoli-Israel
- Department of Psychiatry, Center for Circadian Biology, University of California, San Diego, La Jolla, CA
| | - Kristin Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Katie Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA
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34
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The Effect of Bright Light Treatment on Rest-Activity Rhythms in People with Dementia: A 24-Week Cluster Randomized Controlled Trial. Clocks Sleep 2021; 3:449-464. [PMID: 34563054 PMCID: PMC8482074 DOI: 10.3390/clockssleep3030032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 09/03/2021] [Accepted: 09/08/2021] [Indexed: 11/16/2022] Open
Abstract
Bright light treatment is an effective way to influence circadian rhythms in healthy adults, but previous research with dementia patients has yielded mixed results. The present study presents a primary outcome of the DEM.LIGHT trial, a 24-week randomized controlled trial conducted at nursing homes in Bergen, Norway, investigating the effects of a bright light intervention. The intervention consisted of ceiling-mounted LED panels providing varying illuminance and correlated color temperature throughout the day, with a peak of 1000 lx, 6000 K between 10 a.m. and 3 p.m. Activity was recorded using actigraphs at baseline and after 8, 16, and 24 weeks. Non-parametric indicators and extended cosine models were used to investigate rest-activity rhythms, and outcomes were analyzed with multi-level regression models. Sixty-one patients with severe dementia (median MMSE = 4) were included. After 16 weeks, the acrophase was advanced from baseline in the intervention group compared to the control group (B = -1.02, 95%; CI = -2.00, -0.05). There was no significant difference between the groups on any other rest-activity measures. When comparing parametric and non-parametric indicators of rest-activity rhythms, 25 out of 35 comparisons were significantly correlated. The present results indicate that ambient bright light treatment did not improve rest-activity rhythms for people with dementia.
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35
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Pillai JA, Bena J, Bekris LM, Foldvary-Schaefer N, Heinzinger C, Rao S, Rao SM, Leverenz JB, Mehra R. Unique Sleep and Circadian Rhythm Dysfunction Neuroinflammatory and Immune Profiles in Alzheimer's Disease with Mild Cognitive Impairment. J Alzheimers Dis 2021; 81:487-492. [PMID: 33814445 DOI: 10.3233/jad-201573] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Sleep dysfunction has been identified in the pathophysiology of Alzheimer's disease (AD); however, the role and mechanism of circadian rhythm dysfunction is less well understood. In a well-characterized cohort of patients with AD at the mild cognitive impairment stage (MCI-AD), we identify that circadian rhythm irregularities were accompanied by altered humoral immune responses detected in both the cerebrospinal fluid and plasma as well as alterations of cerebrospinal fluid biomarkers of neurodegeneration. On the other hand, sleep disruption was more so associated with abnormalities in circulating markers of immunity and inflammation and decrements in cognition.
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Affiliation(s)
- Jagan A Pillai
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA.,Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - James Bena
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Lynn M Bekris
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Catherine Heinzinger
- Sleep Disorders Center, Neurologic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Sujata Rao
- Department of Ophthalmic Research, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Stephen M Rao
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA.,Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - James B Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA.,Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - Reena Mehra
- Sleep Disorders Center, Neurologic Institute, Cleveland Clinic, Cleveland, OH, USA.,Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA.,Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Molecular Cardiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
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36
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Kim M, Liotta EM, Maas MB, Braun RI, Garcia-Canga B, Ganger DR, Ladner DP, Reid KJ, Zee PC. Rest-activity rhythm disturbance in liver cirrhosis and association with cognitive impairment. Sleep 2021; 44:6047598. [PMID: 33367862 DOI: 10.1093/sleep/zsaa288] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/20/2020] [Indexed: 11/12/2022] Open
Abstract
Cognitive impairment and disturbed sleep-wake rhythms are disabling complications of liver cirrhosis, yet there is limited understanding of how they are related. We tested the hypothesis that alterations of sleep, rest-activity, and light exposure patterns are associated with worse cognition in cirrhosis. A total of 54 ambulatory adult patients with cirrhosis and 41 age-/gender-matched healthy controls wore wrist actigraphy for rest-activity and light measurements and completed Patient-Reported Outcomes Measurement Information System sleep instruments for self-reported sleep quality. We used standard nonparametric descriptors to characterize rest-activity and light patterns, and wake after sleep onset and sleep efficiency to assess objective sleep quality. The NIH Toolbox cognition battery was used for objective cognitive evaluation using T-scores from a demographically adjusted population reference. Spearman's correlation and multivariable models were used to explore associations between measures of cognition, sleep, rest-activity, and light. Cognition was significantly impaired in cirrhosis patients. Sleep quality was worse in cirrhosis patients by subjective and objective measures compared with controls. Cirrhosis patients exhibited fragmented and dampened rest-activity rhythms, lower daytime and higher nighttime light exposure compared with controls. Worse working memory and processing speed was associated with lower daytime activity level, higher rest-activity fragmentation, lower day-to-day stability, and greater nocturnal light exposure. No association was found between cognition and sleep quality. Rest-activity fragmentation and abnormal light exposure patterns are common in patients with liver disease and are associated with the severity of cognitive impairment. Further research is needed to investigate the effects of timed bright light and exercise intervention on cognitive function in patients with liver disease.
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Affiliation(s)
- Minjee Kim
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL
| | - Eric M Liotta
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL
- Division of Transplant, Department of Surgery, Northwestern Medicine, Chicago, IL
| | - Matthew B Maas
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Rosemary I Braun
- Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Biostatistics Division, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL
| | - Blas Garcia-Canga
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daniel R Ganger
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL
- Division of Transplant, Department of Surgery, Northwestern Medicine, Chicago, IL
- Department of Medicine, Northwestern Medicine, Chicago, IL
| | - Daniela P Ladner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL
- Division of Transplant, Department of Surgery, Northwestern Medicine, Chicago, IL
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kathryn J Reid
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Phyllis C Zee
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
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37
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Obayashi K, Saeki K, Yamagami Y, Kurumatani N, Sugie K, Kataoka H. Circadian activity rhythm in Parkinson's disease: findings from the PHASE study. Sleep Med 2021; 85:8-14. [PMID: 34265483 DOI: 10.1016/j.sleep.2021.06.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Circadian disruptions in Parkinson's disease (PD) are characterized as amplitude reduction rather than as phase shift; however, large-scale studies evaluating circadian rhythms between PD patients and non-PD older adults have not been performed. The present study aimed to compare the circadian activity rhythm (CAR) between PD patients and non-PD older adults. METHODS In this cross-sectional study on 157 PD outpatients and 1111 community-dwelling older adults (controls), physical activity was measured using actigraphy at 1-min intervals over 6 days in PD patients and 2 days in non-PD older adults. Data were base-10 log-transformed and regretted to the sigmoidally transformed cosine curve. RESULTS The mean amplitude (log counts/min) and acrophase were 1.85 (SD, 0.52) and 14:19 (SD, 1:15), respectively, in the controls (n = 1111); 1.42 (0.48) and 14:24 (1:20), respectively, in the early-stage (Hoehn-Yahr I and II) PD patients (n = 95); and 1.23 (0.54) and 13:41 (1:56), respectively, in the late-stage (Hoehn-Yahr III-V) PD patients (n = 62). Multivariable analysis revealed significantly lower amplitude in the early-stage and late-stage PD groups than in the controls. The acrophase significantly advanced in the late-stage PD group than in the controls. With the advancement of PD stage, amplitude and peak significantly decreased; trough increased; acrophase and active offset advanced; and robustness weakened. CONCLUSIONS Compared with non-PD older adults, PD patients exhibited a phase advance in CAR, along with amplitude reduction. With an advanced stage of PD, a phase advance in CAR also occurred, along with amplitude reduction and weakened robustness.
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Affiliation(s)
- Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan.
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Yuki Yamagami
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Norio Kurumatani
- Department of Epidemiology, Nara Medical University School of Medicine, Nara, Japan
| | - Kazuma Sugie
- Department of Neurology, Nara Medical University School of Medicine, Nara, Japan
| | - Hiroshi Kataoka
- Department of Neurology, Nara Medical University School of Medicine, Nara, Japan.
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Qian J, Martinez-Lozano N, Tvarijonaviciute A, Rios R, Scheer FAJL, Garaulet M. Blunted rest-activity rhythms link to higher body mass index and inflammatory markers in children. Sleep 2021; 44:6010463. [PMID: 33249510 DOI: 10.1093/sleep/zsaa256] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 11/01/2020] [Indexed: 12/20/2022] Open
Abstract
STUDY OBJECTIVES Disturbances of rest-activity rhythms are associated with higher body mass index (BMI) in adults. Whether such relationship exists in children is unclear. We aimed to examine cross-sectional associations of rest-activity rhythm characteristics with BMI z-score and obesity-related inflammatory markers in school-age children. METHODS Participants included 411 healthy children (mean ± SD age 10.1 ± 1.3 years, 50.8% girls) from a Mediterranean area of Spain who wore wrist accelerometers for 7 consecutive days. Metrics of rest-activity rhythm were derived using both parametric and nonparametric approaches. Obesity-related inflammatory markers were measured in saliva (n = 121). RESULTS In a multivariable-adjusted model, higher BMI z-score is associated with less robust 24-h rest-activity rhythms as represented by lower relative amplitude (-0.16 [95% CI -0.29, -0.02] per SD, p = 0.02). The association between BMI z-score and relative amplitude persisted with additional adjustment for sleep duration, and attenuated after adjustment for daytime activity level. Less robust rest-activity rhythms were related to increased levels of several salivary pro-inflammatory markers, including C-reactive protein, which is inversely associated with relative amplitude (-32.6% [-47.8%, -12.9%] per SD), independently of BMI z-score, sleep duration, and daytime activity level. CONCLUSION Blunted rest-activity rhythms are associated with higher BMI z-score and salivary pro-inflammatory markers already at an early age. The association with BMI z-score seem to be independent of sleep duration, and those with pro-inflammatory markers further independent of BMI z-score and daytime activity. Novel intervention targets at an early age based on improving the strength of rest-activity rhythms may help to prevent childhood obesity and related inflammation. CLINICAL TRIALS REGISTRATION NCT02895282.
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Affiliation(s)
- Jingyi Qian
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA
| | - Nuria Martinez-Lozano
- Department of Physiology, University of Murcia, Murcia, Spain.,Research Biomedical Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain
| | - Asta Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), University of Murcia, Murcia, Spain
| | | | - Frank A J L Scheer
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA
| | - Marta Garaulet
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA.,Department of Physiology, University of Murcia, Murcia, Spain.,Research Biomedical Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain
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Alfini A, Albert M, Faria AV, Soldan A, Pettigrew C, Wanigatunga S, Zipunnikov V, Spira AP. Associations of actigraphic sleep and circadian rest/activity rhythms with cognition in the early phase of Alzheimer's disease. ACTA ACUST UNITED AC 2021; 2:zpab007. [PMID: 34095836 PMCID: PMC8168567 DOI: 10.1093/sleepadvances/zpab007] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Indexed: 11/20/2022]
Abstract
Study Objectives To compare sleep and circadian rest/activity rhythms (RARs), quantified by standard and novel actigraphic metrics, between controls and participants with mild cognitive impairment (MCI), and to examine the cross-sectional relationships between these measures and cognition. Methods Actigraphy data were collected in 179 older individuals (mean age = 72.6 years) with normal cognition (n = 153) and MCI (n = 26). Sleep parameters (e.g. sleep efficiency), and standard nonparametric RARs (e.g. interdaily stability) were generated. Functional principal component analysis (fPCA) was used to generate three novel RAR metrics (fPC1, fPC2, and fPC3). Cognitive composite scores reflecting episodic memory and executive function were derived using factor analysis. Regression models compared sleep and RAR parameters between diagnostic groups and their association with cognitive performance. Results Compared to controls, the MCI group exhibited lower levels of the standard RAR parameter: relative amplitude and fPC3—a novel RAR whereby lower scores reflected a lower rhythm peak, as well as greater nighttime activity and less activity in the morning. Across groups, several standard RAR parameters (e.g. interdaily stability) and fPC3 were associated with better episodic memory and executive function performance. Additionally, several standard RAR measures (e.g. relative amplitude) and the novel RAR measure fPC1 (reflecting the total volume of activity and rhythm strength) were associated with better executive function performance. Conclusions Individuals with MCI have altered circadian RARs compared to controls, including the novel RAR metric fPC3, reflecting greater nighttime activity and less activity in the morning compared to mean values. Additionally, these measures are significantly associated with cognitive performance.
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Affiliation(s)
- Alfonso Alfini
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Andreia V Faria
- Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD
| | - Anja Soldan
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Sarah Wanigatunga
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Wallace ML, Yu L, Buysse DJ, Stone KL, Redline S, Smagula SF, Stefanick ML, Kritz-Silverstein D, Hall MH. Multidimensional sleep health domains in older men and women: an actigraphy factor analysis. Sleep 2021; 44:5904464. [PMID: 32918075 DOI: 10.1093/sleep/zsaa181] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/11/2020] [Indexed: 12/31/2022] Open
Abstract
The multidimensional sleep health framework emphasizes that sleep can be characterized across several domains, with implications for developing novel sleep treatments and improved prediction and health screening. However, empirical evidence regarding the domains and representative measures that exist in actigraphy-assessed sleep is lacking. We aimed to establish these domains and representative measures in older adults by examining the factor structure of 28 actigraphy-derived sleep measures from 2,841 older men from the Osteoporotic Fractures in Men Sleep Study and, separately, from 2,719 older women from the Study of Osteoporotic Fractures. Measures included means and standard deviations of actigraphy summary measures and estimates from extended cosine models of the raw actigraphy data. Exploratory factor analyses revealed the same five factors in both sexes: Timing (e.g. mean midpoint from sleep onset to wake-up), Efficiency (e.g. mean sleep efficiency), Duration (e.g. mean minutes from sleep onset to wake-up), Sleepiness/Wakefulness (e.g. mean minutes napping and amplitude of rhythm), and Regularity (e.g. standard deviation of the midpoint). Within each sex, confirmatory factor analyses confirmed the one-factor structure of each factor and the entire five-factor structure (Comparative Fit Index and Tucker-Lewis Index ≥ 0.95; Root Mean Square Error of Approximation 0.08-0.38). Correlation magnitudes among factors ranged from 0.01 to 0.34. These findings demonstrate the validity of conceptualizing actigraphy sleep as multidimensional, provide a framework for selecting sleep health domains and representative measures, and suggest targets for behavioral interventions. Similar analyses should be performed with additional measures of rhythmicity, other age ranges, and more racially/ethnically diverse samples.
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Affiliation(s)
| | - Lan Yu
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | | | - Marcia L Stefanick
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA
| | - Donna Kritz-Silverstein
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
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Yi Lee PM, Ling Kwok BH, Ting Ma JY, Tse LA. A population-based prospective study on rest-activity rhythm and mild cognitive impairment among Hong Kong healthy community-dwelling older adults. Neurobiol Sleep Circadian Rhythms 2021; 10:100065. [PMID: 33997474 PMCID: PMC8091051 DOI: 10.1016/j.nbscr.2021.100065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 02/28/2021] [Accepted: 04/06/2021] [Indexed: 01/13/2023] Open
Abstract
Background Relatively few studies investigated the association between rest-activity circadian rhythm and cognitive impairment in population-based study, and the evidence from Asian populations is sparse. We aimed to examine the relationship of actigraphy measured rest-activity circadian rhythm with mild cognitive impairment (MCI) or cognitive impairment in Hong Kong healthy community-dwelling older adults. Methods We recruited 174 Hong Kong healthy adults aged ≥65 years (36 male vs. 138 female) during April-September 2018, and followed up them for 12 months. Participants were invited to wear wrist actigraphy for 7 days in both baseline and follow-up study. We used the actigraph data to calculate their midline statistic of rhythm (MESOR), amplitude, acrophase and percent rhythm. Montreal Cognitive Assessment (MoCA) was used to assess their cognitive scores at baseline and follow-up. Multivariate logistic regression model was performed to estimate the association of rest-activity circadian rhythm parameters with MCI; whilst multinomial logistic regression model was used to examine the association between rhythm parameters and changes of cognitive scores (i.e., worsen: <-1, stable: -1 to 1, better cognition: ≥2) after 12-months follow-up respectively. Results There was no association between rest-activity circadian rhythm parameters and MCI or cognitive impairment at baseline. Compared to those with an averaged value of acrophase (1:24pm-3:00pm), results of multinominal logistic regression showed that participants with a delayed acrophase (after 3:00pm) were less likely to have better cognition (adjusted odds ratio (AOR) = 0.32, 95% confidence interval (CI) = 0.11-0.88). Upon one year of follow-up, participants who delayed their acrophase for 24 min than their baseline measurements were also less likely to have better cognitive functions (AOR = 0.26, 95%CI = 0.08-0.79). Conclusions Results from both the baseline survey and follow-up study consistently confirmed that older adults, especially in light of the majority of participants being the females, with delayed acrophase were less likely to have better cognition in the Asian population.
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Affiliation(s)
- Priscilla Ming Yi Lee
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Bonnie Ho Ling Kwok
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Julie Yuen Ting Ma
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Lap Ah Tse
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
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Graves JL, Qiao Y(S, Moored KD, Boudreau RM, Venditti EM, Krafty RT, Shiroma EJ, Harezlak J, Glynn NW. Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults. SENSORS 2021; 21:s21051718. [PMID: 33801352 PMCID: PMC7958607 DOI: 10.3390/s21051718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 11/16/2022]
Abstract
Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest–activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and jointly associated with greater perceived physical fatigability (Pittsburgh Fatigability Scale, PFS, 0–50) in older adults (n = 181, 71.3 ± 6.7 years). RARs were characterized using anti-logistic extended cosine models and 4-h intervals of PA means and standard deviations across days. A K-means clustering algorithm approach identified four profiles of RAR features: “Less Active/Robust”, “Earlier Risers”, “More Active/Robust” and “Later RAR”. Quantile regression tested associations of each RAR feature/profile on median PFS adjusted for age, sex, race, body mass index and depression symptomatology. Later rise times (up mesor; β = 1.38, p = 0.01) and timing of midpoint of activity (acrophase; β = 1.29, p = 0.01) were associated with higher PFS scores. Lower PA between 4 a.m. and 8 a.m. was associated with higher PFS scores (β = −4.50, p = 0.03). “Less Active/Robust” (β = 6.14, p = 0.01) and “Later RAR” (β = 3.53, p = 0.01) patterns were associated with higher PFS scores compared to “Earlier Risers”. Greater physical fatigability in older adults was associated with dampened, more variable, and later RARs. This work can guide development of interventions aimed at modifying RARs to reduce fatigability in older adults.
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Affiliation(s)
- Jessica L. Graves
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (J.L.G.); (Y.Q.); (K.D.M.); (R.M.B)
| | - Yujia (Susanna) Qiao
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (J.L.G.); (Y.Q.); (K.D.M.); (R.M.B)
| | - Kyle D. Moored
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (J.L.G.); (Y.Q.); (K.D.M.); (R.M.B)
| | - Robert M. Boudreau
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (J.L.G.); (Y.Q.); (K.D.M.); (R.M.B)
| | | | - Robert T. Krafty
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA;
| | - Eric J. Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD 21225, USA;
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA;
| | - Nancy W. Glynn
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA; (J.L.G.); (Y.Q.); (K.D.M.); (R.M.B)
- Correspondence:
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Pye J, Phillips AJ, Cain SW, Montazerolghaem M, Mowszowski L, Duffy S, Hickie IB, Naismith SL. Irregular sleep-wake patterns in older adults with current or remitted depression. J Affect Disord 2021; 281:431-437. [PMID: 33360364 DOI: 10.1016/j.jad.2020.12.034] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/29/2020] [Accepted: 12/06/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Disturbed sleep and irregular sleep-wake patterns have been associated with poor outcomes in older adults. Sleep regularity however has not been studied in a sample with current or remitted major depression. METHODS 138 participants (63.8±8.6 years; n=27 current major depression, n=64 remitted, and n=47 healthy controls) were monitored using wrist-worn actigraphy. The Sleep Regularity Index (SRI), sleep-wake fragmentation and stability, sleep onset and offset timing, number of awakenings and measures from cosinor analysis were computed. RESULTS Compared with controls, older adults with current depression had lower SRI (p < 0.01), lower relative amplitude (p < 0.05), and higher activity during sleeping and post-midnight hours (p < 0.05). Older adults with remitted depression displayed lower activity during the day (p < 0.05), showed reduced average activity and lower amplitude than controls. Total sleep time, sleep timing, and number of awakenings did not differ between groups. All groups differed significantly in self-reported sleep quality and depression severity. LIMITATIONS Longitudinal studies which examine how sleep-wake patterns change based on depressive episode recency, severity and how medications may influence these patterns are needed. CONCLUSIONS Older adults with current or remitted major depression do not differ from controls on traditional sleep metrics but do report poor quality sleep and show differences in sleep regularity and rest-activity patterns. Reducing the risk of poor outcomes in both groups may be aided by interventions that help promote sleep regularity and increased activity.
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Affiliation(s)
- Jonathon Pye
- Healthy Brain Ageing Program, School of Psychology, University of Sydney, Australia; Susan Wakil School of Nursing and Midwifery, University of Sydney, Australia
| | - Andrew Jk Phillips
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Sean W Cain
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Australia
| | | | - Loren Mowszowski
- Healthy Brain Ageing Program, School of Psychology, University of Sydney, Australia; Brain & Mind Centre, University of Sydney, Australia; Charles Perkins Centre, University of Sydney, Australia; CogSleep Centre of Research Excellence, National Health and Medical Research Council, Australia
| | - Shantel Duffy
- Brain & Mind Centre, University of Sydney, Australia; Charles Perkins Centre, University of Sydney, Australia; CogSleep Centre of Research Excellence, National Health and Medical Research Council, Australia; Faculty of Medicine and Health, University of Sydney, Australia
| | - Ian B Hickie
- Brain & Mind Centre, University of Sydney, Australia; Faculty of Medicine and Health, University of Sydney, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, School of Psychology, University of Sydney, Australia; Brain & Mind Centre, University of Sydney, Australia; Charles Perkins Centre, University of Sydney, Australia; CogSleep Centre of Research Excellence, National Health and Medical Research Council, Australia.
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Lim ASP. Diurnal and seasonal molecular rhythms in the human brain and their relation to Alzheimer disease. HANDBOOK OF CLINICAL NEUROLOGY 2021; 179:271-284. [PMID: 34225968 DOI: 10.1016/b978-0-12-819975-6.00017-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Diurnal and seasonal rhythms influence many aspects of human physiology including brain function. Moreover, altered diurnal and seasonal behavioral and physiological rhythms have been linked to Alzheimer's disease and related dementias (ADRD). Understanding the molecular basis for these links may lead to identification of novel targets to mitigate the negative impact of normal and abnormal diurnal and seasonal rhythms on ADRD or to alleviate the adverse consequences of ADRD on normal diurnal and seasonal rhythms. Diurnally and seasonally rhythmic gene expression and epigenetic modification in the human neocortex may be a key mechanism underlying these links. This chapter will first review the observed epidemiological links between normal and abnormal diurnal and seasonal rhythmicity, cognitive impairment, and ADRD. Then it will review normal diurnal and seasonal rhythms of brain epigenetic modification and gene expression in model organisms. Finally, it will review evidence for diurnal and seasonal rhythms of epigenetic modification and gene expression the human brain in aging, Alzheimer's disease, and other brain disorders.
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Affiliation(s)
- Andrew S P Lim
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
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Morris R, Mancin M. Lab-on-a-chip: wearables as a one stop shop for free-living assessments. Digit Health 2021. [DOI: 10.1016/b978-0-12-818914-6.00017-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Light in the Senior Home: Effects of Dynamic and Individual Light Exposure on Sleep, Cognition, and Well-Being. Clocks Sleep 2020; 2:557-576. [PMID: 33327499 PMCID: PMC7768397 DOI: 10.3390/clockssleep2040040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/04/2020] [Accepted: 12/08/2020] [Indexed: 11/18/2022] Open
Abstract
Disrupted sleep is common among nursing home patients and is associated with cognitive decline and reduced well-being. Sleep disruptions may in part be a result of insufficient daytime light exposure. This pilot study examined the effects of dynamic “circadian” lighting and individual light exposure on sleep, cognitive performance, and well-being in a sample of 14 senior home residents. The study was conducted as a within-subject study design over five weeks of circadian lighting and five weeks of conventional lighting, in a counterbalanced order. Participants wore wrist accelerometers to track rest–activity and light profiles and completed cognitive batteries (National Institute of Health (NIH) toolbox) and questionnaires (depression, fatigue, sleep quality, lighting appraisal) in each condition. We found no significant differences in outcome variables between the two lighting conditions. Individual differences in overall (indoors and outdoors) light exposure levels varied greatly between participants but did not differ between lighting conditions, except at night (22:00–6:00), with maximum light exposure being greater in the conventional lighting condition. Pooled data from both conditions showed that participants with higher overall morning light exposure (6:00–12:00) had less fragmented and more stable rest–activity rhythms with higher relative amplitude. Rest–activity rhythm fragmentation and long sleep duration both uniquely predicted lower cognitive performance.
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Li P, Gao L, Gaba A, Yu L, Cui L, Fan W, Lim ASP, Bennett DA, Buchman AS, Hu K. Circadian disturbances in Alzheimer's disease progression: a prospective observational cohort study of community-based older adults. THE LANCET. HEALTHY LONGEVITY 2020; 1:e96-e105. [PMID: 34179863 PMCID: PMC8232345 DOI: 10.1016/s2666-7568(20)30015-5] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Circadian disturbances are commonly seen in people with Alzheimer's disease and have been reported in individuals without symptoms of dementia but with Alzheimer's pathology. We aimed to assess the temporal relationship between circadian disturbances and Alzheimer's progression. METHODS We did a prospective cohort study of 1401 healthy older adults (aged >59 years) enrolled in the Rush Memory and Aging Project (Rush University Medical Center, Chicago, IL, USA) who had been followed up for up to 15 years. Participants underwent annual assessments of cognition (with a battery of 21 cognitive performance tests) and motor activities (with actigraphy). Four measures were extracted from actigraphy to quantify daily and circadian rhythmicity, which were amplitude of 24-h activity rhythm, acrophase (representing peak activity time), interdaily stability of 24-h activity rhythm, and intradaily variability for hourly fragmentation of activity rhythm. We used Cox proportional hazards models and logistic regressions to assess whether circadian disturbances predict an increased risk of incident Alzheimer's dementia and conversion of mild cognitive impairment to Alzheimer's dementia. We used linear mixed-effects models to investigate how circadian rhythms changed longitudinally and how the change integrated to Alzheimer's progression. FINDINGS Participants had a median age of 81·8 (IQR 76·3-85·7) years. Risk of developing Alzheimer's dementia was increased with lower amplitude (1 SD decrease, hazard ratio [HR] 1·39, 95% CI 1·19-1·62) and higher intradaily variability (1 SD increase, 1·22, 1·04-1·43). In participants with mild cognitive impairment, increased risk of Alzheimer's dementia was predicted by lower amplitude (1 SD decrease, HR 1·46, 95% CI 1·24-1·72), higher intradaily variability (1 SD increase, 1·36, 1·15-1·60), and lower interdaily stability (1 SD decrease, 1·21, 1·02-1·44). A faster transition to Alzheimer's dementia in participants with mild cognitive impairment was predicted by lower amplitude (1 SD decrease, odds ratio [OR] 2·08, 95% CI 1·53-2·93), increased intradaily variability (1 SD increase, 1·97, 1·43-2·79), and decreased interdaily stability (1 SD decrease, 1·35, 1·01-1·84). Circadian amplitude, acrophase, and interdaily stability progressively decreased over time, and intradaily variability progressively increased over time. Alzheimer's progression accelerated these aging effects by doubling or more than doubling the annual changes in these measures after the diagnosis of mild cognitive impairment, and further doubled them after the diagnosis of Alzheimer's dementia. The longitudinal change of global cognition positively correlated with the longitudinal changes in amplitude and interdaily stability and negatively correlated with the longitudinal change in intradaily variability. INTERPRETATION Our results indicate a link between circadian dysregulation and Alzheimer's progression, implying either a bidirectional relation or shared common underlying pathophysiological mechanisms. FUNDING National Institutes of Health, and the BrightFocus Foundation.
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Affiliation(s)
- Peng Li
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Lei Gao
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Arlen Gaba
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Longchang Cui
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wenqing Fan
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Andrew S P Lim
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Kun Hu
- Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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Rockwood K, Andrew MK, Aubertin‐Leheudre M, Belleville S, Bherer L, Bowles SK, Kehler DS, Lim A, Middleton L, Phillips N, Wallace LM. CCCDTD5: Reducing the risk of later-life dementia. Evidence informing the Fifth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD-5). ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12083. [PMID: 33204818 PMCID: PMC7656906 DOI: 10.1002/trc2.12083] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 11/23/2022]
Abstract
The Fifth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD-5) was a year-long process to synthesize the best available evidence on several topics. Our group undertook evaluation of risk reduction, in eight domains: nutrition; physical activity; hearing; sleep; cognitive training and stimulation; social engagement and education; frailty; and medications. Here we describe the rationale for the undertaking and summarize the background evidence-this is also tabulated in the Appendix. We further comment specifically on the relationship between age and dementia, and offer some suggestions for how reducing the risk of dementia in the seventh decade and beyond might be considered if we are to improve prospects for prevention in the near term. We draw to attention that a well-specified model of success in dementia prevention need not equate to the elimination of cognitive impairment in late life.
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Affiliation(s)
- Kenneth Rockwood
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Melissa K. Andrew
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | | | - Sylvie Belleville
- Research CenterInstitut Universitaire de Gériatrie de MontréalMontréalQuebecCanada
- Psychology DepartmentUniversité de MontréalMontréalCanada
| | - Louis Bherer
- Département de Médecine, Faculté de médecine, Université de Montréal, Centre de recherche, Institut de cardiologie de Montréal, Centre de rechercheInstitut universitaire de gériatrie de MontréalMontréalQuébecCanada
| | - Susan K. Bowles
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
- College of PharmacyDalhousie UniversityHalifaxNova ScotiaCanada
| | - D Scott Kehler
- School of PhysiotherapyDalhousie UniversityHalifaxNova ScotiaCanada
| | - Andrew Lim
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoOntarioCanada
| | - Laura Middleton
- Department of KinesiologyUniversity of WaterlooWaterlooOntarioCanada
| | - Natalie Phillips
- Department of PsychologyConcordia UniversityMontréalQuébecCanada
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Roh HW, Choi JG, Kim NR, Choe YS, Choi JW, Cho SM, Seo SW, Park B, Hong CH, Yoon D, Son SJ, Kim EY. Associations of rest-activity patterns with amyloid burden, medial temporal lobe atrophy, and cognitive impairment. EBioMedicine 2020; 58:102881. [PMID: 32736306 PMCID: PMC7394758 DOI: 10.1016/j.ebiom.2020.102881] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/12/2020] [Accepted: 06/23/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND We sought to investigate the possible associations of rest-activity patterns with cortical amyloid burden, medial temporal lobe (MTL) neurodegeneration, and cognitive function in patients in the early stage of cognitive impairment. METHODS Rest-activity patterns were assessed in 100 participants (70 with mild cognitive impairment and 30 with mild dementia) using wrist actigraphy. All participants underwent 18F-flutemetamol positron emission tomography (PET) imaging to quantify cortical amyloid burden, structural brain magnetic resonance imaging (MRI) to quantify MTL grey matter volume, neuropsychological testing, and clinical diagnosis. We used multiple linear regression models adjusted for covariates, including demographics, diabetes, hypertension, depressive symptom, psychotropic medication, sleep medication, weekend effect, and apolipoprotein-ε allele status. FINDINGS After adjusting for possible confounders, we found that the midline estimation of statistic of rhythm (MESOR) associated positively with frontal/executive function (estimate = 1.17, standard error [SE] = 0.37, p = 0.002). The least active 5-h (L5) onset time associated positively with MTL grey matter volume and memory function (estimate = 1.24, SE = 0.33, p = 0.001, and estimate = 3.77, SE = 1.22, p = 0.003, respectively), particularly in amyloid-negative participants. Additional path analysis revealed that MTL grey matter volume partially mediated the association between L5 onset time and memory function in amyloid-negative participants. INTERPRETATION Decreased MESOR and advanced L5 onset time may be useful as early signs of cognitive decline or MTL neurodegeneration. Furthermore, amyloid pathology may act as a moderator of the relationships between rest-activity patterns, neurodegeneration, and cognitive function. FUNDING Korea Centres for Disease Control and Prevention (#4845-303); National Research Foundation of Korea (2019M3C7A1031905, 2019R1A5A2026045).
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Affiliation(s)
- Hyun Woong Roh
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea; Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | - Jung-Gu Choi
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Na-Rae Kim
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Yeong Sim Choe
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sun-Mi Cho
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea; Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Dukyong Yoon
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
| | - Eun Young Kim
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea; Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
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Lysen TS, Luik AI, Ikram MK, Tiemeier H, Ikram MA. Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia. Alzheimers Dement 2020; 16:1259-1267. [PMID: 32558256 PMCID: PMC7984295 DOI: 10.1002/alz.12122] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 03/24/2020] [Accepted: 04/30/2020] [Indexed: 12/17/2022]
Abstract
Introduction We investigated and compared associations of objective estimates of sleep and 24‐hour activity rhythms using actigraphy with risk of dementia. Methods We included 1322 non‐demented participants from the prospective, population‐based Rotterdam Study cohort with valid actigraphy data (mean age 66 ± 8 years, 53% women), and followed them for up to 11.2 years to determine incident dementia. Results During follow‐up, 60 individuals developed dementia, of which 49 had Alzheimer's disease (AD). Poor sleep as indicated by longer sleep latency, wake after sleep onset, and time in bed and lower sleep efficiency, as well as an earlier “lights out” time, were associated with increased risk of dementia, especially AD. We found no associations of 24‐hour activity rhythms with dementia risk. Discussion Poor sleep, but not 24‐hour activity rhythm disturbance, is associated with increased risk of dementia. Actigraphy‐estimated nighttime wakefulness may be further targeted in etiologic or risk prediction studies.
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Affiliation(s)
- Thom S. Lysen
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - M. Kamran Ikram
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
- Department of Neurology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Henning Tiemeier
- Department of Social and Behavioral ScienceHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
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