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Del Pozzo J, Spielman L, Yew B, Shpigel DM, Selamanovic E, Dams-O'Connor K. Detecting and Predicting Cognitive Decline in Individuals with Traumatic Brain Injury: A Longitudinal Telephone-Based Study. J Neurotrauma 2024. [PMID: 38907691 DOI: 10.1089/neu.2023.0589] [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: 06/24/2024] Open
Abstract
Traumatic brain injuries (TBIs) can lead to long-lasting cognitive impairments, and some survivors experience cognitive decline post-recovery. Early detection of decline is important for care planning, and understanding risk factors for decline can elucidate targets for prevention. While neuropsychological testing is the gold standard approach to characterizing cognitive function, there is a need for brief, scalable tools that are capable of detecting clinically significant changes in post-TBI cognition. This study examines whether a clinically significant change can be detected using the Brief Test of Adult Cognition by Telephone (BTACT) in a sample of individuals with chronic TBI and investigates whether potentially modifiable factors are associated with cognitive decline. Ninety participants aged 40 or older with complicated mild-to-severe TBI participated in two telephone-based study visits ∼1 year apart. Demographic, head trauma exposure, comorbid medical conditions, physical, and psychosocial functioning data were collected via self-report. The BTACT, a brief measure of global cognitive function, was used to assess cognitive performance across six domains. A reliable change index for quantifying clinically significant changes in BTACT performance was calculated. Results revealed cognitive decline in 10-27% of participants across various cognitive domains. More specifically, only depressive symptoms, including depressed affect and anhedonia, were significantly associated with cognitive decline after correcting for multiple comparisons using false discovery rate (FDR). Other factors such as the number of blows to the head, male gender, dyspnea, increased anxiety symptoms, seizures, illicit drug use, and fewer cardiovascular comorbidities should be considered hypothesis generating. Importantly, age was not a significant predictor of cognitive decline, which challenges the assumption that cognitive decline is solely related to the natural aging process. It suggests that there are unique factors associated with TBI that impact cognitive function, and these factors can affect individuals across the lifespan. The BTACT is a brief and sensitive tool for identifying clinically meaningful changes in cognitive function over a relatively brief period (i.e., 1 year) in a sample of individuals in the chronic stages of TBI (i.e., x̄ = 6.7 years post-TBI). Thus, the BTACT may be useful in surveillance efforts aimed at understanding and detecting decline, particularly in situations where in-person cognitive screening is impractical or unfeasible. We also identified potentially modifiable targets for the prevention of post-TBI cognitive decline. These findings can offer insights into treatment goals and preventive strategies for individuals at risk for cognitive decline, as well as help to facilitate early identification efforts.
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Affiliation(s)
- Jill Del Pozzo
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lisa Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Belinda Yew
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Danielle M Shpigel
- VA San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Enna Selamanovic
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Muhammad T, Pai M, Anil Kumar AHS, Lekshmi PR, Sekher TV. Associations between neighbourhood safety, social cohesion, sleep quality and sleep duration among older adults in India: Findings from the Study on Global Aging and Adult Health (WHO-SAGE), 2015. Psychogeriatrics 2024; 24:789-801. [PMID: 38576075 DOI: 10.1111/psyg.13120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Most studies on later-life health in India focus on families, with far less attention given to the health repercussions of neighbourhood conditions among older Indians. We address this limitation in existing research by examining the associations between perceptions of neighbourhood safety and social cohesion and sleep duration and sleep quality among older adults in India. METHODS Data come from the Study on Global Aging and Adult Health (WHO-SAGE), India 2015 wave 2, with a sample of 7118 adults aged 50 years and above. Sleep quality and duration were assessed using subjective responses. Multivariable logistic and linear regression analyses were employed to test the research hypotheses. RESULTS Prevalence of poor sleep quality was higher among older adults living in unsafe neighbourhoods (4.46%) than peers residing in safe neighbourhoods (3.52%), and it was also higher among those living in neighbourhoods with poor social cohesion (5.31%) than counterparts who lived in socially cohesive communities (3.10%). Older adults in neighbourhoods with poor social cohesion had higher odds of reporting compromised sleep quality (adjusted odds ratio 1.75, CI: 1.22-2.51) than those living in socially cohesive neighbourhoods. Moreover, compared to those who perceived they were living in safe neighbourhoods, their peers who perceived their neighbourhoods as unsafe reported shorter sleep duration, with a negative beta coefficient of -0.27 (CI: -0.45 to -0.085). CONCLUSION That perceived unsafety and poor social cohesion within one's neighbourhood are associated with compromised sleep reflects the significance of making neighbourhoods safer and more integrated for later-life sleep health. In addition to micro-level strategies (e.g., balanced nutrition and physical activity), efforts to improve sleep health should optimise macro-level opportunities, such as rehabilitating and revitalising neighbourhoods, which may alleviate sleep disturbances and improve sleep outcomes among older adults.
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Affiliation(s)
- T Muhammad
- Department of Human Development and Family Studies, Center for Healthy Aging, The Pennsylvania State University, University Park, PA, USA
| | - Manacy Pai
- Department of Sociology and Criminology, Kent State University Kent, Kent, Ohio, USA
| | | | - P R Lekshmi
- WHO-SAGE Project, International Institute for Population Sciences, Mumbai, India
| | - T V Sekher
- Department of Family and Generations, WHO-SAGE Project, International Institute for Population Sciences, Mumbai, India
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Healy WJ, Johnson DA, Liu X, Jean-Louis G, Kwon Y. Disparities in sleep care and cardiovascular outcomes: defining the problem and implementing solutions. J Clin Sleep Med 2024; 20:841-844. [PMID: 38415745 PMCID: PMC11145049 DOI: 10.5664/jcsm.11072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/04/2024] [Accepted: 02/07/2024] [Indexed: 02/29/2024]
Affiliation(s)
- William J. Healy
- Division of Pulmonary, Critical Care, and Sleep Medicine; Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Dayna A. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Xiaoyue Liu
- New York University Rory Meyers College of Nursing, New York, New York
| | - Girardin Jean-Louis
- Departments of Psychiatry and Neurology, University of Miami, Miami, Florida
| | - Younghoon Kwon
- Division of Cardiology, University of Washington, Seattle, Washington
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Zhang Y, Spitzer BW, Zhang Y, Wallace DA, Yu B, Qi Q, Argos M, Avilés-Santa ML, Boerwinkle E, Daviglus ML, Kaplan R, Cai J, Redline S, Sofer T. Untargeted Metabolome Atlas for Sleep Phenotypes in the Hispanic Community Health Study/Study of Latinos. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.17.24307286. [PMID: 38798578 PMCID: PMC11118618 DOI: 10.1101/2024.05.17.24307286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Sleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep phenotypes and blood metabolites. Utilizing data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep phenotypes, grouped in several domains (i.e., sleep disordered breathing (SDB), sleep duration, timing, insomnia symptoms, and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualize and interpret the associations between sleep phenotypes and metabolites. The patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, some xenobiotic metabolites were associated with sleep duration and heart rate phenotypes (e.g. 1H-indole-7-acetic acid, 4-allylphenol sulfate), while ketone bodies and fatty acid metabolism metabolites were associated with sleep timing measures (e.g. 3-hydroxybutyrate (BHBA), 3-hydroxyhexanoylcarnitine (1)). Heart rate phenotypes had the overall largest number of detected metabolite associations. Many of these associations were shared with both SDB and with sleep timing phenotypes, while SDB phenotypes shared relatively few metabolite associations with sleep duration measures. A number of metabolites were associated with multiple sleep phenotypes, from a few domains. The amino acids vanillylmandelate (VMA) and 1-carboxyethylisoleucine were associated with the greatest number of sleep phenotypes, from all domains other than insomnia. This atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.
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Affiliation(s)
- Ying Zhang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Brian W Spitzer
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Yu Zhang
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Danielle A Wallace
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Bing Yu
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Maria Argos
- Department of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - M Larissa Avilés-Santa
- Division of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Eric Boerwinkle
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Susan Redline
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Woo J, Lehrer HM, Tabibi D, Cebulske L, Tanaka H, Steinhardt M. The Association of Multidimensional Sleep Health With HbA1c and Depressive Symptoms in African American Adults With Type 2 Diabetes. Psychosom Med 2024; 86:307-314. [PMID: 38724038 PMCID: PMC11090412 DOI: 10.1097/psy.0000000000001298] [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] [Indexed: 05/15/2024]
Abstract
OBJECTIVE Sleep is important for diabetes-related health outcomes. Using a multidimensional sleep health framework, we examined the association of individual sleep health dimensions and a composite sleep health score with hemoglobin A1c (HbA1c) and depressive symptoms among African American adults with type 2 diabetes. METHODS Participants (N = 257; mean age = 62.5 years) were recruited through local churches. Wrist-worn actigraphy and sleep questionnaire data assessed multidimensional sleep health using the RuSATED framework (regularity, satisfaction, alertness, timing, efficiency, duration). Individual sleep dimensions were dichotomized into poor or good sleep health and summed into a composite score. HbA1c was assessed using the DCA Vantage™ Analyzer or A1CNow® Self Check. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Regression models examined the association of individual sleep dimensions and composite sleep health with HbA1c and depressive symptoms. RESULTS Higher composite sleep health scores were associated with a lower likelihood of having greater than minimal depressive symptoms (PHQ-9 ≥ 5) (odds ratio [OR] = 0.578, 95% confidence interval [CI] = 0.461-0.725). Several individual sleep dimensions, including irregularity (OR = 1.013, CI = 1.005-1.021), poor satisfaction (OR = 3.130, CI = 2.095-4.678), and lower alertness (OR = 1.866, CI = 1.230-2.833) were associated with a greater likelihood of having depressive symptoms. Neither composite sleep health scores nor individual sleep dimensions were associated with HbA1c. CONCLUSIONS Better multidimensional sleep health is associated with lower depressive symptoms among African American adults with type 2 diabetes. Longitudinal research is needed to determine the causal association between multidimensional sleep health and depressive symptoms in this population. TRIAL REGISTRY ClinicalTrials.gov identifier NCT04282395.
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Affiliation(s)
- Jihun Woo
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX
| | | | - Doonya Tabibi
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX
| | - Lauren Cebulske
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX
| | - Hirofumi Tanaka
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX
| | - Mary Steinhardt
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, TX
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Han X, Zhou E, Liu D. Electronic Media Use and Sleep Quality: Updated Systematic Review and Meta-Analysis. J Med Internet Res 2024; 26:e48356. [PMID: 38533835 PMCID: PMC11077410 DOI: 10.2196/48356] [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: 04/20/2023] [Revised: 06/15/2023] [Accepted: 03/26/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND This paper explores the widely discussed relationship between electronic media use and sleep quality, indicating negative effects due to various factors. However, existing meta-analyses on the topic have some limitations. OBJECTIVE The study aims to analyze and compare the impacts of different digital media types, such as smartphones, online games, and social media, on sleep quality. METHODS Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study performed a systematic meta-analysis of literature across multiple databases, including Web of Science, MEDLINE, PsycINFO, PubMed, Science Direct, Scopus, and Google Scholar, from January 2018 to October 2023. Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic media use and sleep quality across studies. The Comprehensive Meta-Analysis software (version 3.0) was used to perform the meta-analysis. Statistical methods such as funnel plots were used to assess the presence of asymmetry and a p-curve test to test the p-hacking problem, which can indicate publication bias. RESULTS Following a thorough screening process, the study involved 55 papers (56 items) with 41,716 participants from over 20 countries, classifying electronic media use into "general use" and "problematic use." The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant cultural difference was also observed in these effects. General use was associated with a significant decrease in sleep quality (P<.001). The pooled effect size was 0.28 (95% CI 0.21-0.35; k=20). Problematic use was associated with a significant increase in sleep problems (P≤.001). The pooled effect size was 0.33 (95% CI 0.28-0.38; k=36). The subgroup analysis indicated that the effect of general smartphone use and sleep problems was r=0.33 (95% CI 0.27-0.40), which was the highest among the general group. The effect of problematic internet use and sleep problems was r=0.51 (95% CI 0.43-0.59), which was the highest among the problematic groups. There were significant differences among these subgroups (general: Qbetween=14.46, P=.001; problematic: Qbetween=27.37, P<.001). The results of the meta-regression analysis using age, gender, and culture as moderators indicated that only cultural difference in the relationship between Eastern and Western culture was significant (Qbetween=6.69; P=.01). All funnel plots and p-curve analyses showed no evidence of publication and selection bias. CONCLUSIONS Despite some variability, the study overall confirms the correlation between increased electronic media use and poorer sleep outcomes, which is notably more significant in Eastern cultures.
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Affiliation(s)
- Xiaoning Han
- School of Journalism and Communication, Renmin University of China, Beijing, China
| | - Enze Zhou
- School of Journalism and Communication, Renmin University of China, Beijing, China
| | - Dong Liu
- School of Journalism and Communication, Renmin University of China, Beijing, China
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Lee S, Mu CX, Wallace ML, Andel R, Almeida DM, Buxton OM, Patel SR. Multidimensional Sleep Health Problems Across Middle and Older Adulthood Predict Early Mortality. J Gerontol A Biol Sci Med Sci 2024; 79:glad258. [PMID: 37950462 PMCID: PMC10876079 DOI: 10.1093/gerona/glad258] [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: 07/03/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Having multiple sleep problems is common in adulthood. Yet, most studies have assessed single sleep variables at one timepoint, potentially misinterpreting health consequences of co-occurring sleep problems that may change over time. We investigated the relationship between multidimensional sleep health across adulthood and mortality. METHODS Participants from the Midlife in the United States Study reported sleep characteristics in 2004-2006 (MIDUS-2; M2) and in 2013-2014 (MIDUS-3; M3). We calculated a composite score of sleep health problems across 5 dimensions: Regularity, Satisfaction, Alertness, Efficiency, and Duration (higher = more problems). Two separate models for baseline sleep health (n = 5 140; median follow-up time = 15.3 years) and change in sleep health (n = 2 991; median follow-up time = 6.4 years) to mortality were conducted. Cox regression models controlled for sociodemographics and key health risk factors (body mass index, smoking, depressive symptoms, diabetes, and hypertension). RESULTS On average, 88% of the sample reported having one or more sleep health problems at M2. Each additional sleep health problem at M2 was associated with 12% greater risk of all-cause mortality (hazard ratio [HR] = 1.12, 95% confidence interval [CI] = 1.04-1.21), but not heart disease-related mortality (HR = 1.14, 95% CI = 0.99-1.31). An increase in sleep health problems from M2 to M3 was associated with 27% greater risk of all-cause mortality (HR = 1.27, 95% CI = 1.005-1.59), and 153% greater risk of heart disease mortality (HR = 2.53, 95% CI = 1.37-4.68). CONCLUSIONS More sleep health problems may increase the risk of early mortality. Sleep health in middle and older adulthood is a vital sign that can be assessed at medical checkups to identify those at greater risk.
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Affiliation(s)
- Soomi Lee
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Christina X Mu
- School of Aging Studies, University of South Florida, Tampa, Florida, USA
| | - Meredith L Wallace
- Department of Psychiatry, Statistics, and Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ross Andel
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
- Department of Neurology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - David M Almeida
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Orfeu M Buxton
- Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Sanjay R Patel
- Division of Pulmonary Allergy Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Ji L, Wallace ML, Master L, Schade MM, Shen Y, Derby CA, Buxton OM. Six multidimensional sleep health facets in older adults identified with factor analysis of actigraphy: Results from the Einstein Aging Study. Sleep Health 2023; 9:758-766. [PMID: 37246064 PMCID: PMC10593097 DOI: 10.1016/j.sleh.2023.03.002] [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: 09/13/2022] [Revised: 02/17/2023] [Accepted: 03/19/2023] [Indexed: 05/30/2023]
Abstract
OBJECTIVES The concept of multi-dimensional sleep health, originally based on self-report, was recently extended to actigraphy in older adults, yielding five components, but without a hypothesized rhythmicity factor. The current study extends prior work using a sample of older adults with a longer period of actigraphy follow-up, which may facilitate observation of the rhythmicity factor. METHODS Wrist actigraphy measures of participants (N = 289, Mage = 77.2 years, 67% females; 47% White, 40% Black, 13% Hispanic/Others) over 2 weeks were used in exploratory factor analysis to determine factor structures, followed by confirmatory factor analysis on a different subsample. The utility of this approach was demonstrated by associations with global cognitive performance (Montreal Cognitive Assessment). RESULTS Exploratory factor analysis identified six factors: Regularity: standard deviations of four sleep measures: midpoint, sleep onset time, night total sleep time (TST), and 24-hour TST; Alertness/Sleepiness (daytime): amplitude, napping (mins and #/day); Timing: sleep onset, midpoint, wake-time (of nighttime sleep); up-mesor, acrophase, down-mesor; Efficiency: sleep maintenance efficiency, wake after sleep onset; Duration: night rest interval(s), night TST, 24-hour rest interval(s), 24-hour TST; Rhythmicity (pattern across days): mesor, alpha, and minimum. Greater sleep efficiency was associated with better Montreal Cognitive Assessment performance (β [95% confidence interval] = 0.63 [0.19, 1.08]). CONCLUSIONS Actigraphic records over 2 weeks revealed that Rhythmicity may be an independent factor in sleep health. Facets of sleep health can facilitate dimension reduction, be considered predictors of health outcomes, and be potential targets for sleep interventions.
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Affiliation(s)
- Linying Ji
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Meredith L Wallace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lindsay Master
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Margeaux M Schade
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Yuqi Shen
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, and Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Orfeu M Buxton
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania, USA.
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Metse AP, Eastwood P, Ree M, Lopresti A, Scott JJ, Bowman J. Sleep health of young adults in Western Australia and associations with physical and mental health: A population-level cross-sectional study. Aust N Z J Public Health 2023; 47:100070. [PMID: 37474415 DOI: 10.1016/j.anzjph.2023.100070] [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: 01/22/2023] [Revised: 05/09/2023] [Accepted: 05/19/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVES This article aims to report on the sleep health characteristics of a population-level sample of young Australian adults and examine associations with measures of physical and mental health. METHODS A cross-sectional study using data from the Raine Study. Data from participants (n = 1234) born into the study (Generation 2) at the 22-year follow-up were used, including data from a self-report questionnaire and polysomnography. RESULTS The highest prevalence of suboptimal sleep health was seen on measures of sleep duration (30%), onset latency (18%), satisfaction (25%) and regularity (60%). Dissatisfaction with sleep (physical health: β =0.08; mental health: β =0.34) and impaired daytime alertness (physical health: β =0.09; mental health: β =0.08) were significantly associated with poorer physical and mental health and inadequate polysomnography-measured sleep duration was associated poorer mental health (β =0.07) (all ps<0.05). CONCLUSIONS Satisfaction with sleep and daytime alertness, both of which are assessed via self-report, are essential aspects of sleep health for young adults. IMPLICATIONS FOR PUBLIC HEALTH Findings could inform public health interventions, including screening guidelines, to improve the sleep health and, in turn, the physical and mental health of young adults in Australia.
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Affiliation(s)
- Alexandra P Metse
- School of Health, University of the Sunshine Coast, QLD, 4556, Australia; School of Psychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
| | - Peter Eastwood
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA, 5042, Australia
| | - Melissa Ree
- School of Psychological Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Adrian Lopresti
- College of Health and Education, Murdoch University, Murdoch, WA, 6150, Australia
| | - Joseph J Scott
- School of Education and Tertiary Access, University of the Sunshine Coast, QLD, 4556, Australia; School of Education, Edith Cowan University, Mount Lawley, WA, 6050, Australia
| | - Jenny Bowman
- School of Psychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
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Yoon JE, Oh D, Hwang I, Park JA, Im HJ, Kim D, Yang KI, Chu MK, Yun CH. Longitudinal Trends in Sleep and Related Factors Among South Korean Adults From 2009 to 2018. J Clin Neurol 2023; 19:392-401. [PMID: 37417435 DOI: 10.3988/jcn.2022.0268] [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: 07/20/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND AND PURPOSE Excess or insufficient sleep, irregular sleep-wake patterns, and an extreme early or late chronotypes adversely impact physical and mental health. Changes in sleep characteristics should therefore be tracked, and factors that contribute to poor sleep should be identified. We investigated the changes in sleep patterns among South Korean adults during 2009-2018. METHODS Using data of a representative sample of South Korean adults from the 2009 (n=2,658, 48.5% males; age=44.5±15.0 years old [mean±standard deviation], age range=19-86 years) and 2018 (n=2,389, 49.1% males; age=47.9±16.3 years, age range=19-92 years) Korean Headache-Sleep Study, we explored changes in sleep timing, sleep duration, chronotype, and social jetlag (SJL). Logistic regression analysis was used to examine the association between average sleep duration and depression. RESULTS From 2009 to 2018, bedtimes were advanced by 10 and 25 min on workdays and free days, respectively. Meanwhile, wake-up times were advanced by 13 min and delayed by 12 min on workdays and free days, respectively. The average sleep duration significantly decreased from 7.45 h to 7.13 h. The prevalence of short sleep duration (<7 h) increased, whereas that of long sleep duration (≥8 h) decreased. A circadian preference toward eveningness and SJL increased. The prevalence of depression increased from 4.6% to 8.4%, and there were significant reverse J-shaped and U-shaped associations between average sleep duration and depression in 2009 and 2018, respectively. CONCLUSIONS Changes in sleep patterns and the association between sleep duration and depressive mood were determined from a representative sample of the South Korean adult population. Interventions to modify sleep behaviors might improve public health.
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Affiliation(s)
- Jee-Eun Yoon
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Dana Oh
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Inha Hwang
- Department of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jung A Park
- Department of Neurology, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Hee-Jin Im
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Daeyoung Kim
- Department of Neurology, Chungnam National University Hospital, Chungnam National University School of Medicine, Chungnam, Korea
| | - Kwang Ik Yang
- Sleep Disorders Center, Department of Neurology, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Min Kyung Chu
- Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Chang-Ho Yun
- Department of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, Seongnam, Korea.
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11
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1209] [Impact Index Per Article: 1209.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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12
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Yoo A, Vgontzas A, Chung J, Mostofsky E, Li W, Rueschman M, Buysse D, Mittleman M, Bertisch S. The association between multidimensional sleep health and migraine burden among patients with episodic migraine. J Clin Sleep Med 2023; 19:309-317. [PMID: 36263856 PMCID: PMC9892733 DOI: 10.5664/jcsm.10320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/24/2022] [Accepted: 09/26/2022] [Indexed: 02/04/2023]
Abstract
STUDY OBJECTIVES Using the Sleep Regularity, Satisfaction, Alertness, Timing, Satisfaction, and Duration (Ru-SATED) sleep health framework, we examined the association between multidimensional sleep health and headache burden in a cohort of 98 adults with episodic migraine. METHODS Participants wore wrist actigraphs and completed twice-daily electronic diaries regarding sleep, headaches, and other health habits for 6 weeks. We calculated separate composite sleep health scores from diary and actigraphy assessed measures using the Ru-SATED framework. We used adjusted multivariable linear regression models to examine the association between composite sleep health scores and headache frequency, duration, and pain intensity. RESULTS Among 98 participants (mean age: 35 ± 12 years; 87.8% female), 83 had healthy ranges in ≥ 3 sleep dimensions. In models adjusted for age, sex, menopausal status, physical activity and alcohol intake, good sleep health was associated with fewer headache days/month (actigraphy: 3.1 fewer days; 95% confidence interval: 0.9, 5.7; diary: 4.0 fewer days; 95% confidence interval: 1.1, 6.9). Results did not change substantively with further adjustment for stress and depressive symptoms. We did not observe an association between sleep health and headache duration or intensity, respectively. CONCLUSIONS Among patients with episodic migraine, good multidimensional sleep health, but not the majority of singular dimensions of sleep, is associated with approximately 3-4 fewer headache days/month. In addition, there was no association with headache duration or intensity. These findings highlight the importance of assessing multiple dimensions of sleep and suggest that improving sleep health may be a potential clinical strategy to reduce headache frequency. CITATION Yoo A, Vgontzas A, Chung J, et al. The association between multidimensional sleep health and migraine burden among patients with episodic migraine. J Clin Sleep Med. 2023;19(2):309-317.
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Affiliation(s)
- Alexander Yoo
- Department of Neurology, University of Rochester, Rochester, New York
| | - Angeliki Vgontzas
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Joon Chung
- Harvard Medical School, Boston, Massachusetts
- Program in Sleep Medicine Epidemiology, Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Elizabeth Mostofsky
- Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Wenyuan Li
- Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michael Rueschman
- Program in Sleep Medicine Epidemiology, Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Daniel Buysse
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Murray Mittleman
- Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Suzanne Bertisch
- Harvard Medical School, Boston, Massachusetts
- Program in Sleep Medicine Epidemiology, Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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13
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Makarem N, Alcantara C, Musick S, Quesada O, Sears DD, Chen Z, Tehranifar P. Multidimensional Sleep Health Is Associated with Cardiovascular Disease Prevalence and Cardiometabolic Health in US Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191710749. [PMID: 36078471 PMCID: PMC9518578 DOI: 10.3390/ijerph191710749] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 06/01/2023]
Abstract
Individual sleep dimensions have been linked to cardiovascular disease (CVD) risk and cardiometabolic health (CMH), but sleep health is multifaceted. We investigated associations of a multidimensional sleep health (MDSH) score, enabling the assessment of sleep health gradients, with CVD and CMH. Participants were 4555 adults aged ≥20 years from the 2017-2018 National Health and Nutrition Examination Survey. A MDSH score, capturing poor, moderate, and ideal sleep was computed from self-reported sleep duration, sleep regularity, difficulty falling asleep, symptoms of sleep disorders, and daytime sleepiness. Survey-weighted multivariable linear and logistic models examined associations of MDSH with CVD and CMH. Ideal and moderate vs. poor MDSH were related to lower odds of hypertension (62% and 41%), obesity (73% and 56%), and central adiposity (68% and 55%), respectively; a statistically significant linear trend was observed across gradients of MDSH (p-trend < 0.001). Ideal vs. moderate/poor MDSH was associated with 32% and 40% lower odds of prevalent CVD and type 2 diabetes, respectively. More favorable MDSH was associated with lower blood pressure, BMI, waist circumference, and fasting glucose. In sex-stratified analyses, ideal vs. moderate/poor MDSH was associated with lower CVD odds and blood pressure in women only. The MDSH framework may be more than just the sum of its parts and could better capture information regarding CVD risk.
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Affiliation(s)
- Nour Makarem
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | | | - Sydney Musick
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Odayme Quesada
- Women’s Heart Center, The Christ Hospital Heart and Vascular Institute, Cincinnati, OH 45219, USA
| | - Dorothy D. Sears
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
- Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
- Center for Circadian Biology, University of California San Diego, San Diego, CA 92093, USA
| | - Ziyu Chen
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
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14
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Hernandez L, Laucyte-Cibulskiene A, Ward LJ, Kautzky-Willer A, Herrero MT, Norris CM, Raparelli V, Pilote L, Stenvinkel P, Kublickiene K. Gender dimension in cardio-pulmonary continuum. Front Cardiovasc Med 2022; 9:916194. [PMID: 36003909 PMCID: PMC9393639 DOI: 10.3389/fcvm.2022.916194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022] Open
Abstract
Cardio-pulmonary diseases, which were once regarded as a man's illness, have been one of the leading causes of morbidity and mortality for both men and women in many countries in recent years. Both gender and sex influence the functional and structural changes in the human body and therefore play an important role in disease clinical manifestation, treatment choice, and/or response to treatment and prognosis of health outcomes. The gender dimension integrates sex and gender analysis in health sciences and medical research, however, it is still relatively overlooked suggesting the need for empowerment in the medical research community. Latest advances in the field of cardiovascular research have provided supportive evidence that the application of biological variables of sex has led to the understanding that heart disease in females may have different pathophysiology compared to males, particularly in younger adults. It has also resulted in new diagnostic techniques and a better understanding of symptomatology, while gender analysis has informed more appropriate risk stratification and prevention strategies. The existing knowledge in the pulmonary field shows the higher prevalence of pulmonary disorders among females, however, the role of gender as a socio-cultural construct has yet to be explored for the implementation of targeted interventions. The purpose of this review is to introduce the concept of gender dimension and its importance for the cardiopulmonary continuum with a focus on shared pathophysiology and disease presentation in addition to interrelation with chronic kidney disease. The review presents basic knowledge of what gender dimension means, and the application of sex and gender aspects in cardiovascular medicine with a specific focus on early pulmonary development, pulmonary hypertension, and chronic obstructive pulmonary disease (COPD). Early vascular aging and inflammation have been presented as a potential pathophysiological link, with further interactions between the cardiopulmonary continuum and chronic kidney disease. Finally, implications for potential future research have been provided to increase the impact of gender dimension on research excellence that would add value to everybody, foster toward precision medicine and ultimately improve human health.
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Affiliation(s)
- Leah Hernandez
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Agne Laucyte-Cibulskiene
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Nephrology, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Liam J. Ward
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden
| | - Alexandra Kautzky-Willer
- Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Maria-Trinidad Herrero
- Clinical and Experimental Neuroscience, Institutes for Aging Research and Bio-Health Research of Murcia, School of Medicine, University of Murcia, Murcia, Spain
| | - Colleen M. Norris
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
- Cardiovascular and Stroke Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
| | - Valeria Raparelli
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- University Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
| | - Louise Pilote
- Division of Clinical Epidemiology, Research Institute of McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Peter Stenvinkel
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Karolina Kublickiene
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
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Langenberg SCN, Kocevska D, Luik AI. The multidimensionality of sleep in population‐based samples: a narrative review. J Sleep Res 2022; 31:e13608. [PMID: 35429087 PMCID: PMC9339471 DOI: 10.1111/jsr.13608] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 12/03/2022]
Abstract
The identification of optimal sleep duration recommendations for the general population has long been an important goal on the public health agenda, as both short and long sleep duration have been linked to unfavourable health outcomes. Yet, sleep is more than duration alone and can be described across multiple domains, such as timing, regularity, satisfaction, alertness, and efficiency. We reviewed observational population‐based studies that examined differences in age, sex, and origin across multiple dimensions of sleep. Reviewed literature suggests an increasing prevalence of insomnia symptoms, shorter and less deep sleep in old age. Overall, women report poorer sleep quality than men despite objective measures revealing shorter and more fragmented sleep in men. Minorities generally have poorer quantity and quality of sleep, but multi‐ethnic studies have reported mixed results regarding the subjective experience of sleep. In sum, effects of age, sex and origin differ across sleep dimensions, thereby suggesting that the multidimensionality of sleep and how these different aspects interact should be studied across individuals. Studies should include both self‐reported measures and objective assessments in diverse population‐based samples, as both aspects are important to understand sleep health in the general population. Data‐driven descriptions could provide researchers and clinicians with insights into how well individuals are sleeping and offer concrete targets for promotion of sleep health across the population.
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Affiliation(s)
| | - Desana Kocevska
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands
- Department of Sleep and Cognition Netherlands Institute for Neuroscience Amsterdam the Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology Erasmus MC University Medical Center Rotterdam the Netherlands
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