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Moon DU, Piao Z, Lee DH, Han E. From guidelines to bedside - insomnia treatment practices in South Korea: a nationwide cohort study. Front Psychiatry 2024; 15:1453550. [PMID: 39345921 PMCID: PMC11427395 DOI: 10.3389/fpsyt.2024.1453550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 08/22/2024] [Indexed: 10/01/2024] Open
Abstract
Background Insomnia is a prevalent disorder that impacts quality of life and leads to significant economic costs. Treatment includes both non-medication and pharmacological interventions, with international guidelines recommending cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment. Objective To describe current insomnia treatment practices in South Korea, focusing on pharmacological and non-medication treatments, and to identify gaps in guideline implementation. Methods This cohort study used data from the Korea National Health Insurance Service-National Sample Cohort (NHIS-NSC) from 2002 to 2019 and identified 18,003 patients newly diagnosed with insomnia between 2015 and 2019. This study analyzed treatment patterns and utilization rates. Results Of the 18,003 patients, 16,181 (89.9%) received pharmacological treatment, resulting in 35,638 prescriptions. Zolpidem (60%) and benzodiazepines (30-40%) were the most prescribed medications. Most patients were treated in clinics, with consistent dosages and increasing treatment lengths. Psychotherapy claims rose from 3.20% in 2015 to 9.14% in 2019, particularly in general hospitals (22.06% to 48.37%), but remained low in clinics (1.26% to 2.08%). Conclusion Pharmacological treatments dominate insomnia management in South Korea, with CBT-I being underutilized. Future efforts should focus on integrating non-pharmacological treatment into routine practice and exploring treatment risks and effectiveness based on patient demographics.
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Affiliation(s)
- Daa Un Moon
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Zhaoyan Piao
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea
| | - Do Hyun Lee
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea
| | - Euna Han
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea
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2
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Baek Y, Jeong K, Lee S. Association of sleep timing, sleep duration, and sleep latency with metabolic syndrome in middle-aged adults in Korea: A cross-sectional and longitudinal study. Sleep Health 2024:S2352-7218(24)00131-1. [PMID: 39174451 DOI: 10.1016/j.sleh.2024.06.002] [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: 11/07/2023] [Revised: 05/27/2024] [Accepted: 06/08/2024] [Indexed: 08/24/2024]
Abstract
OBJECTIVE Sleep is a potential risk factor for metabolic syndrome. We investigated the associations of various sleep characteristics with the status and incidence of metabolic syndrome in middle-aged Koreans. METHODS Using data from a community-based Korean Medicine Daejeon Citizen Cohort study on participants aged 30-50years, cross-sectional (n = 1984) and longitudinal (n = 1216, median follow-up: 2.1years) analyses were performed. To study the association of metabolic syndrome and five components with various sleep characteristics, measured using the Pittsburgh Sleep Quality Index, we used Poisson and logistic regression and Cox proportional hazard regression analyses, adjusting for covariates. RESULTS Of 1984 participants, 66%, 19%, and 15% belonged to the non-metabolic syndrome, pre-metabolic syndrome, and metabolic syndrome groups, respectively. After covariate adjustments, the pre-metabolic syndrome group was associated with late mid-sleep time (≥5:00; prevalence ratios 1.61, 95% confidence interval 1.01-2.54) and late bedtime (≥2:00; prevalence ratios 1.55, 95% confidence interval 1.03-2.34), and the metabolic syndrome group was associated with long sleep latency (prevalence ratios 1.33, 95% confidence interval 1.03-1.73), poor sleep quality (prevalence ratios 1.38, 95% confidence interval 1.07-1.78), and early wake time (<6:00; prevalence ratios 1.29, 95% confidence interval 1.01-1.63). Longitudinal analysis of participants without metabolic syndrome at baseline indicated a significant increase in metabolic syndrome risk associated with very short sleep duration (<6 hours; hazard ratio 1.72, 95% confidence interval 1.06-2.79), long sleep latency (>30 minutes; hazard ratio 1.86, 95% confidence interval 1.1-3.12), and early wake time (<6:00 o'clock; hazard ratio 1.73, 95% confidence interval 1.01-2.97). CONCLUSION Sleep characteristics, such as short duration, long latency, and early wake time, were associated with an increased risk of metabolic syndrome in middle-aged adults.
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Affiliation(s)
- Younghwa Baek
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Kyoungsik Jeong
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Siwoo Lee
- KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
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Allison KC, Parnarouskis L, Moore MD, Minnick AM. Insomnia, Short Sleep, and Their Treatments: Review of Their Associations with Weight. Curr Obes Rep 2024; 13:203-213. [PMID: 38776004 PMCID: PMC11150288 DOI: 10.1007/s13679-024-00570-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/22/2024] [Indexed: 06/05/2024]
Abstract
PURPOSE OF REVIEW Insomnia and short sleep have been linked with weight gain and obesity. However, these findings have not been consistent across studies. We review recent evidence for the association between insomnia, short sleep, and weight gain, as well as the relationship between behavioral and pharmacological treatments for sleep and weight. RECENT FINDINGS The relationship between insomnia and obesity is mixed, with stronger associations between insomnia with short sleep and obesity than other presentations of insomnia. Short sleep is associated with weight gain. Z-drugs and benzodiazapines do not appear to impact weight, but many antidepressants and antipsychotics that are used for insomnia treatment do cause weight gain. The relationships between insomnia and short sleep with weight gain and obesity are inconsistent. More prospective trials are needed to identify mediators and moderators of this relationship to better develop and deliver effective interventions for both sleep and weight problems.
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Affiliation(s)
- Kelly C Allison
- Center for Weight and Eating Disorders, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104-3309, USA.
| | - Lindsey Parnarouskis
- Center for Weight and Eating Disorders, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104-3309, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Molly D Moore
- Center for Weight and Eating Disorders, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104-3309, USA
| | - Alyssa M Minnick
- Center for Weight and Eating Disorders, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 3029, Philadelphia, PA, 19104-3309, USA
- InBody BWA, Audubon, PA, 19403, USA
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4
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Gabbay FH, Wynn GH, Georg MW, Gildea SM, Kennedy CJ, King AJ, Sampson NA, Ursano RJ, Stein MB, Wagner JR, Kessler RC, Capaldi VF. Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. J Clin Sleep Med 2024; 20:921-931. [PMID: 38300822 PMCID: PMC11145056 DOI: 10.5664/jcsm.11026] [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: 08/25/2023] [Revised: 01/11/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
STUDY OBJECTIVES The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking insomnia treatment receive CBT-I, and little reliable guidance exists to identify those most likely to respond. As a step toward personalized care, we present results of a machine learning (ML) model to predict CBT-I response. METHODS Administrative data were examined for n = 1,449 nondeployed US Army soldiers treated for insomnia with CBT-I who had moderate-severe baseline Insomnia Severity Index (ISI) scores and completed 1 or more follow-up ISIs 6-12 weeks after baseline. An ensemble ML model was developed in a 70% training sample to predict clinically significant ISI improvement (reduction of at least 2 standard deviations on the baseline ISI distribution). Predictors included a wide range of military administrative and baseline clinical variables. Model accuracy was evaluated in the remaining 30% test sample. RESULTS 19.8% of patients had clinically significant ISI improvement. Model area under the receiver operating characteristic curve (standard error) was 0.60 (0.03). The 20% of test-sample patients with the highest probabilities of improvement were twice as likely to have clinically significant improvement compared with the remaining 80% (36.5% vs 15.7%; χ21 = 9.2, P = .002). Nearly 85% of prediction accuracy was due to 10 variables, the most important of which were baseline insomnia severity and baseline suicidal ideation. CONCLUSIONS Pending replication, the model could be used as part of a patient-centered decision-making process for insomnia treatment. Parallel models will be needed for alternative treatments before such a system is of optimal value. CITATION Gabbay FH, Wynn GH, Georg MW, et al. Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2024;20(6):921-931.
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Affiliation(s)
- Frances H. Gabbay
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Gary H. Wynn
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Matthew W. Georg
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Sarah M. Gildea
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Chris J. Kennedy
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Andrew J. King
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Robert J. Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Psychiatric Service, VA San Diego Healthcare System, San Diego, California
| | - James R. Wagner
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Vincent F. Capaldi
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
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Sendesen E, Kocabay AP, Yiğit Ö. Does sleep quality affect balance? The perspective from the somatosensory, vestibular, and visual systems. Am J Otolaryngol 2024; 45:104230. [PMID: 38422556 DOI: 10.1016/j.amjoto.2024.104230] [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: 10/08/2023] [Revised: 01/03/2024] [Accepted: 02/19/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVE Previous studies have focused on the balance system's involvement in sleep deprivation or disorders. This study investigated how daily routine sleep quality affects the balance system of people without sleep deprivation or diagnosed sleep disorders. METHODS The study included 45 participants with a BMI score of <25. The PSQI was used to determine sleep quality. The SOT, HS-SOT, and ADT evaluated the vestibular system's functionality. RESULTS In SOT, condition 3, 4, 5, and 6 composite scores, VIS and VEST composite balance scores, and HS-SOT 5 scores were lower in the HPSQI group. At the same time, there is a statistically significant negative correlation between these scores and PSQI scores. CONCLUSION Poor sleep quality may be a factor influencing the balance system. Sleep quality affects the visual and vestibular systems rather than the somatosensory system. The population should be made aware of this issue, and clinicians should consider the potential impact of sleep quality when evaluating the balance system.
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Affiliation(s)
- Eser Sendesen
- Department of Audiology, Hacettepe University, Ankara, Turkey.
| | | | - Öznur Yiğit
- Department of Audiology, Hacettepe University, Ankara, Turkey
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6
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Benham G, Charak R, Cano-Gonzalez I, Mena Teran J, Kenemore J. Recent Stressful Life Events and Perceived Stress as Serial Mediators of the Association between Adverse Childhood Events and Insomnia. Behav Med 2024:1-12. [PMID: 38634227 DOI: 10.1080/08964289.2024.2335175] [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: 10/20/2023] [Accepted: 03/19/2024] [Indexed: 04/19/2024]
Abstract
Insomnia is common in college students and linked to poorer mental and physical health. There is growing evidence that adverse childhood experiences (ACEs) may contribute to insomnia in adulthood. However, beyond the need for additional replication of these findings, there is a need to identify underlying mechanisms that plausibly connect the two experiences. Based on a serial mediation model, the current study examined the role of two theoretically informed mediators: recent stressful life events and perceived stress. A cross-sectional survey of 2,218 college students at a large university in the southwestern United States was conducted between August 2020 and December 2021. The sample was predominantly Hispanic (96%) and female (73%), with a mean age of 20.7 years. Standardized measures of adverse childhood experiences, recent stressful life events, perceived stress, and insomnia were administered to participants online. Almost 20% of participants reported having experienced four or more adverse childhood experiences and 63% met the threshold for insomnia. Reporting four or more ACEs was associated with significantly greater insomnia severity, and this relationship was serially mediated by both recent stressful life events and perceived stress. However, recent stressful life events appeared to be the most powerful mediator. The results of the current study indicate that recent exposure to stressful life events serves as a plausible mechanism linking early adversity during childhood to adult insomnia and could therefore serve as a potential target for intervention. The findings suggest that students would benefit from university-wide efforts to reduce the number and/or intensity of common stressors.
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Affiliation(s)
- Grant Benham
- Department of Psychological Science, The University of Texas Rio Grande Valley
| | - Ruby Charak
- Department of Psychological Science, The University of Texas Rio Grande Valley
| | - Ines Cano-Gonzalez
- Department of Psychological Science, The University of Texas Rio Grande Valley
| | - Joceline Mena Teran
- Department of Psychological Science, The University of Texas Rio Grande Valley
| | - Jordan Kenemore
- Department of Psychological Science, The University of Texas Rio Grande Valley
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Gutiérrez-Esparza G, Martinez-Garcia M, Ramírez-delReal T, Groves-Miralrio LE, Marquez MF, Pulido T, Amezcua-Guerra LM, Hernández-Lemus E. Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study. Nutrients 2024; 16:612. [PMID: 38474741 DOI: 10.3390/nu16050612] [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: 01/10/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.
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Affiliation(s)
- Guadalupe Gutiérrez-Esparza
- Researcher for Mexico CONAHCYT, National Council of Humanities, Sciences and Technologies, Mexico City 08400, Mexico
- Clinical Research, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Mireya Martinez-Garcia
- Department of Immunology, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Tania Ramírez-delReal
- Center for Research in Geospatial Information Sciences, Aguascalientes 20313, Mexico
| | | | - Manlio F Marquez
- Department of Electrocardiology, National Institute of Cardiology 'Ignacio Chavez', Mexico City 14080, Mexico
| | - Tomás Pulido
- Cardiopulmonary Department, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Luis M Amezcua-Guerra
- Department of Immunology, National Institute of Cardiology 'Ignacio Chávez', Mexico City 14080, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de Mexico, Mexico City 04510, Mexico
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8
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Sarsembayeva D, Hartman CA, Cardoso Melo RD, Schreuder MJ. Nonlinear associations between insomnia symptoms and circadian preferences in the general population: Symptom-specific and lifespan differences in men and women. Sleep Health 2023:S2352-7218(23)00244-9. [PMID: 38007303 DOI: 10.1016/j.sleh.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 09/26/2023] [Accepted: 10/18/2023] [Indexed: 11/27/2023]
Abstract
OBJECTIVES This study investigated (non)linear associations between different eveningness characteristics (bedtime, wake time, morning affect, and peak performance time) and insomnia symptoms (difficulties initiating sleep, difficulties maintaining sleep, and nonrestorative sleep) in a large general population sample. METHODS The data came from digital surveys about insomnia (Minimal Insomnia Scale) and circadian preferences (Children's Chronotype Questionnaire/Composite Scale of Morningness) completed by the Dutch general population (37,389 participants aged 4-91years, 42.4% men) in the Lifelines cohort substudy Comorbid Conditions of ADHD. RESULTS Using generalized additive modeling, we found that different characteristics of eveningness related to insomnia either exponentially (later wake time/peak performance time, worse morning affect) or quadratically (early and late bedtime/midpoint of sleep). While difficulties initiating sleep and nonrestorative sleep were strongly associated with all eveningness characteristics, difficulties maintaining sleep related only to earlier bedtimes. These relationships were similar for men and women but varied partly in shapes and strengths across the lifespan. Additional analyses showed that bedtime and wake time were associated with insomnia symptoms only when their combination would result in an unusually long or short preferred time in bed. CONCLUSION The association between eveningness and insomnia symptoms highly depends on whether eveningness is reflected by daytime performance or sleep-wake time. The pattern and strength of these associations also vary depending on age and insomnia symptom, but less so on sex. Future sleep-related research and policies relying on circadian preferences should account for the nonlinearity, dimension/symptom-related specificity and age-related differences in the association between eveningness and insomnia symptoms.
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Affiliation(s)
- Dina Sarsembayeva
- Interdisciplinary Centre Psychopathology and Emotion Regulation, University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
| | - Catharina A Hartman
- Interdisciplinary Centre Psychopathology and Emotion Regulation, University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Raniere Dener Cardoso Melo
- Interdisciplinary Centre Psychopathology and Emotion Regulation, University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Marieke J Schreuder
- Quantitative Psychology and Individual Differences, Department of Psychology and Education Sciences, KU Leuven, Leuven, Belgium
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Nazem S, Barnes SM, Forster JE, Hostetter TA, Monteith LL, Kramer EB, Gaeddert LA, Brenner LA. Efficacy of an Internet-Delivered Intervention for Improving Insomnia Severity and Functioning in Veterans: Randomized Controlled Trial. JMIR Ment Health 2023; 10:e50516. [PMID: 37999953 DOI: 10.2196/50516] [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: 07/03/2023] [Revised: 09/26/2023] [Accepted: 10/06/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Despite a growing evidence base that internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) is associated with decreased insomnia severity, its efficacy has been minimally examined in veterans. OBJECTIVE The objective of this study was to evaluate the efficacy of an unguided iCBT-I (Sleep Healthy Using the Internet [SHUTi]) among veterans. METHODS We conducted a single-blind, randomized controlled trial in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans eligible for Veterans Health Administration care. Participants were randomly assigned (1:1) to receive SHUTi (a self-guided and interactive program) or an Insomnia Education Website (IEW) that provided nontailored and fixed insomnia information. Web-based assessments were administered at baseline, postintervention, 6 months postintervention, and 1 year postintervention. The primary outcome was self-reported insomnia severity (Insomnia Severity Index [ISI]). Secondary outcomes were self-reported mental and physical health functioning (Veterans RAND 36-item Health Survey). Exploratory outcomes comprised sleep diary parameters. RESULTS Of the 231 randomized participants (mean age 39.3, SD 7.8 years; 170/231, 73.5% male sex; 26/231, 11.3% Black; 172/231, 74.5% White; 10/231, 4.3% multiracial; and 17/231, 7.4% other; 36/231, 15.6% Hispanic) randomized between April 2018 and January 2019, a total of 116 (50.2%) were randomly assigned to SHUTi and 115 (49.8%) to the IEW. In intent-to-treat analyses, SHUTi participants experienced significantly larger ISI decreases compared with IEW participants at all time points (generalized η2 values of 0.13, 0.12, and 0.10, respectively; all P<.0001). These corresponded to estimated larger differences in changes of -3.47 (95% CI -4.78 to -2.16), -3.80 (95% CI -5.34 to -2.27), and -3.42 (95% CI -4.97 to 1.88) points on the ISI for the SHUTi group. SHUTi participants experienced significant improvements in physical (6-month generalized η2=0.04; P=.004) and mental health functioning (6-month and 1-year generalized η2=0.04; P=.009 and P=.005, respectively). Significant sleep parameter improvements were noted for SHUTi (all P<.05), though the pattern and magnitude of these reductions varied by parameter. No adverse events were reported. CONCLUSIONS Self-administered iCBT-I was associated with immediate and long-term improvements in insomnia severity. Findings suggest that leveraging technology to meet insomnia treatment demands among veterans may be a promising approach. TRIAL REGISTRATION ClinicalTrials.gov NCT03366870; https://clinicaltrials.gov/ct2/show/NCT03366870.
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Affiliation(s)
- Sarra Nazem
- Dissemination & Training Division, National Center for Posttraumatic Stress Disorder, Menlo Park, CA, United States
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
| | - Sean M Barnes
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jeri E Forster
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Trisha A Hostetter
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
| | - Lindsey L Monteith
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Emily B Kramer
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
| | - Laurel A Gaeddert
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
| | - Lisa A Brenner
- Veterans Affairs Rocky Mountain Mental Illness Research, Education and Clinical Center, Aurora, CO, United States
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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10
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Xiao L, Voutsas G, Ryan CM, Katz SL, Narang I. The association between sleep quality and obstructive sleep apnea with health-related quality of life in children with obesity. J Clin Sleep Med 2023; 19:1877-1883. [PMID: 37409497 PMCID: PMC10620665 DOI: 10.5664/jcsm.10706] [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: 03/23/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/07/2023]
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) and poor sleep quality are highly prevalent in children with obesity, but their individual associations with health-related quality of life (HRQOL) are unknown in this population. The primary objective was to describe the independent association of OSA and sleep quality with HRQOL in children with obesity. METHODS This was a cross-sectional study of children with obesity at 2 tertiary care centers. Sleep quality and HRQOL were measured with the Pittsburgh Sleep Quality Index and Pediatric Quality of Life Inventory questionnaires, respectively. Multivariable regression models were created to evaluate associations between OSA and sleep quality with HRQOL. RESULTS There were 98 children (median age 15.0 years, median body mass index z-score 3.8, 44% females). Among the study population, 49/98 (50%) children reported poor sleep quality, 41/98 (42%) children had OSA, and 52/98 (53%) children reported impaired HRQOL. Self-reported poor sleep quality was independently associated with reduced HRQOL, whereas the presence of OSA was not. Children with poor sleep quality had a reduced Pediatric Quality of Life Inventory score by 8.8 compared to children with good sleep quality (95% confidence interval, 2.6-14.9; P = .006), when adjusting for age, sex, body mass index z-score, attention-deficit/hyperactivity disorder, mood/anxiety disorder, and study site. CONCLUSIONS In the current study of children with obesity, we found that HRQOL was more strongly associated with the self-reported experience of sleep than the presence of OSA. Clinicians should assess and optimize sleep quality as part of the evaluation for OSA in children with obesity. CITATION Xiao L, Voutsas G, Ryan CM, Katz SL, Narang I. The association between sleep quality and obstructive sleep apnea with health-related quality of life in children with obesity. J Clin Sleep Med. 2023;19(11):1877-1883.
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Affiliation(s)
- Lena Xiao
- Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Giorge Voutsas
- Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Clodagh M. Ryan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Respirology, Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sherri Lynne Katz
- Division of Respiratory Medicine, Children’s Hospital of Eastern Ontario, Ottawa, Ontario, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Indra Narang
- Division of Respiratory Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
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Xu Y, Shi Z, Sun D, Munivrana G, Liang M, István B, Radak Z, Baker JS, Gu Y. Establishment of hypertension risk nomograms based on physical fitness parameters for men and women: a cross-sectional study. Front Cardiovasc Med 2023; 10:1152240. [PMID: 37771672 PMCID: PMC10523331 DOI: 10.3389/fcvm.2023.1152240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/28/2023] [Indexed: 09/30/2023] Open
Abstract
Objective This study aims to establish hypertension risk nomograms for Chinese male and female adults, respectively. Method A series of questionnaire surveys, physical assessments, and biochemical indicator tests were performed on 18,367 adult participants in China. The optimization of variable selection was conducted by running cyclic coordinate descent with 10-fold cross-validation through the least absolute shrinkage and selection operator (LASSO) regression. The nomograms were built by including the predictors selected through multivariable logistic regression. Calibration plots, receiver operating characteristic curves (ROC), decision curve analysis (DCA), clinical impact curves (CIC), and net reduction curve plots (NRC) were used to validate the models. Results Out of a total of 18 variables, 5 predictors-namely age, body mass index, waistline, hipline, and resting heart rate-were identified for the hypertension risk predictive model for men with an area under the ROC of 0.693 in the training set and 0.707 in the validation set. Seven predictors-namely age, body mass index, body weight, cardiovascular disease history, waistline, resting heart rate, and daily activity level-were identified for the hypertension risk predictive model for women with an area under the ROC of 0.720 in the training set and 0.748 in the validation set. The nomograms for both men and women were externally well-validated. Conclusion Gender differences may induce heterogeneity in hypertension risk prediction between men and women. Besides basic demographic and anthropometric parameters, information related to the functional status of the cardiovascular system and physical activity appears to be necessary.
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Affiliation(s)
- Yining Xu
- Faculty of Sports Science, Ningbo University, Ningbo, China
| | - Zhiyong Shi
- Faculty of Sports Science, Ningbo University, Ningbo, China
| | - Dong Sun
- Faculty of Sports Science, Ningbo University, Ningbo, China
| | | | - Minjun Liang
- Faculty of Sports Science, Ningbo University, Ningbo, China
| | - Bíró István
- Faculty of Engineering, University of Szeged, Szeged, Hungary
| | - Zsolt Radak
- Research Institute of Sport Science, University of Physical Education, Budapest, Hungary
| | - Julien S. Baker
- Department of Sport and Physical Education, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China
| | - Yaodong Gu
- Faculty of Sports Science, Ningbo University, Ningbo, China
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12
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Nevels TL, Wirth MD, Ginsberg JP, McLain AC, Burch JB. The role of sleep and heart rate variability in metabolic syndrome: evidence from the Midlife in the United States study. Sleep 2023; 46:zsad013. [PMID: 36727300 PMCID: PMC10171632 DOI: 10.1093/sleep/zsad013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 12/11/2022] [Indexed: 02/03/2023] Open
Abstract
STUDY OBJECTIVES Poor sleep and autonomic dysregulation can both disrupt metabolic processes. This study examined the individual and combined effects of poor sleep and reduced heart rate variability (HRV) on metabolic syndrome among 966 participants in the Midlife in the United States II (MIDUS II) study. METHODS Self-reported sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI). HRV was acquired from 11-minute resting heart rate recordings. Spearman correlations, general linear regression, and logistic regression models were used to examine the study hypotheses. RESULTS Poor sleep quality was associated with metabolic syndrome when global PSQI scores were evaluated as a continuous (odds ratio [OR]: 1.07, 95% confidence interval [CI]: 1.03 to 1.11) or categorical measure (cutoff > 5, OR: 1.58, 95% CI: 1.19 to 2.10), after adjustment for confounding. There also was an association between reduced HRV and metabolic syndrome (ln [HF-HRV] OR: 0.89, 95% CI: 0.80 to 0.99; ln [LF-HRV] OR: 0.82, 95% CI: 0.72 to 0.92; ln [SDRR] OR: 0.59, 95% CI: 0.43 to 0.79; ln [RMSSD] OR: 0.75, 95% CI: 0.60 to 0.94). When the combined effects of poor sleep and low HRV were examined, the association with metabolic syndrome was further strengthened relative to those with normal sleep and HRV. CONCLUSIONS To the best of the author's knowledge, this is the first study to suggest a combined effect of poor sleep and low HRV on the odds of metabolic syndrome.
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Affiliation(s)
- Torrance L Nevels
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Columbia Veterans Affairs Health Care System, Columbia, SC, USA
- U.S. Military Interservice Physician Assistant Program, MEDCoE, Joint Base San Antonio-Fort Sam Houston, TX, USA
| | - Michael D Wirth
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- College of Nursing, University of South Carolina, Columbia, SC, USA
| | - J P Ginsberg
- Department of Pathology, Microbiology, and Immunology, Saybrook University, Pasadena, CA, USA
| | - Alexander C McLain
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - James B Burch
- Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
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13
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Otsuka Y, Kaneita Y, Tanaka K, Itani O, Kaneko Y, Suzuki M, Matsumoto Y, Kuriyama K. Nonrestorative sleep is a risk factor for metabolic syndrome in the general Japanese population. Diabetol Metab Syndr 2023; 15:26. [PMID: 36803382 PMCID: PMC9942313 DOI: 10.1186/s13098-023-00999-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 02/15/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND This longitudinal study aimed to investigate the effects of nonrestorative sleep on developing metabolic syndrome (MetS) and related diseases in a general Japanese middle-aged population. METHODS Overall, 83,224 adults without MetS (mean age: 51.5 ± 3.5 years) from the Health Insurance Association in Japan were followed up for a maximum of 8 years between 2011 and 2019. The Cox proportional hazard method was used to determine whether nonrestorative sleep, assessed using a single-item question, was significantly associated with the respective development of MetS, obesity, hypertension, diabetes, and dyslipidemia. The MetS criteria were adopted by the Examination Committee for Criteria of Metabolic Syndrome in Japan. RESULTS The mean follow-up duration was 6.0 years. The incidence rate of MetS was 50.1 person-years/1,000 during the study period. Data suggested that nonrestorative sleep was associated with MetS (hazard ratio [HR]: 1.12, 95% confidence interval [CI]: 1.08-1.16) and other disorders, such as obesity (HR: 1.07, 95% CI: 1.02-1.12), hypertension (HR: 1.07, 95% CI: 1.04-1.11), and diabetes (HR: 1.07, 95% CI: 1.01-1.12) but not with dyslipidemia (HR: 1.00, 95% CI: 0.97-1.03). CONCLUSIONS Nonrestorative sleep is associated with the development of MetS and many of its core components in the middle-aged Japanese population. Therefore, assessing nonrestorative sleep may help identify individuals at a risk of MetS development.
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Affiliation(s)
- Yuichiro Otsuka
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Yoshitaka Kaneita
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan.
| | - Katsutoshi Tanaka
- Department of Occupational Mental Health, Graduate School of Medical Sciences, Kitasato University, 1-15-1 Kitasato, Minami, Sagamihara, 252-0374, Japan
| | - Osamu Itani
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Yoshiyuki Kaneko
- Department of Psychiatry, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Masahiro Suzuki
- Department of Psychiatry, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Yuuki Matsumoto
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-Kamimachi, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Kenichi Kuriyama
- Department of Sleep-Wake Disorders, National Center of Neurology and Psychiatry, National Institute of Mental Health, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
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Wu TT, Zou YL, Xu KD, Jiang XR, Zhou MM, Zhang SB, Song CH. Insomnia and multiple health outcomes: umbrella review of meta-analyses of prospective cohort studies. Public Health 2023; 215:66-74. [PMID: 36645961 DOI: 10.1016/j.puhe.2022.11.021] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/17/2022] [Accepted: 11/28/2022] [Indexed: 01/15/2023]
Abstract
OBJECTIVES To evaluate existing evidence of prospective cohort studies on associations between insomnia and multiple health outcomes. STUDY DESIGN An umbrella review of meta-analyses of prospective cohort studies. METHODS A systematic search was undertaken in Pubmed, Embase, Cochrane, and Web of Science from inception to October 2021 to find meta-analyses of prospective cohort studies investigating the association of insomnia with any health outcome. The summary relative risk (SRR) for each meta-analysis was recalculated with random-effects model. The methodological quality and the quality of evidence were assessed by the A Measurement Tool to Assess Systematic Reviews and Grading of Recommendations, Assessment, Development and Evaluation, respectively. RESULTS A total of 25 published meta-analyses of prospective cohort studies, reporting 63 SRRs for 29 unique outcomes were included. Insomnia was mainly related to cardiovascular outcomes and mental disorders. The former comprised atrial fibrillation (SRR: 1.30, 95% confidence interval: 1.26 to 1.35), cardiovascular diseases (1.45, 1.29 to 1.64), coronary heart disease (1.28, 1.10 to 1.50), myocardial infarction (1.42, 1.17 to 1.72), and stroke (1.55, 1.39 to 1.72). The latter involved alcohol abuse (1.35, 1.08 to 1.67), all mental disorders (2.16, 1.70 to 3.97), anxiety (3.23, 1.52 to 6.85), depression (2.31, 1.90 to 2.81), suicidal ideation (2.26, 1.79 to 2.86), suicidal attempt (1.99, 1.31 to 3.02), and suicidal death (1.72, 1.42 to 2.08). Besides, insomnia enhanced the risk of Alzheimer's disease (1.51, 1.06 to 2.14) and hyperlipidemia (1.64, 1.53 to 1.76). CONCLUSION Insomnia exhibits considerable adverse outcomes, primarily comprises cardiovascular outcomes and mental disorders, but further studies with robustly designed trials are needed to draw firmer conclusions.
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Affiliation(s)
- T T Wu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Y L Zou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - K D Xu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - X R Jiang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - M M Zhou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - S B Zhang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - C H Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China.
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15
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Duan D, Kim LJ, Jun JC, Polotsky VY. Connecting insufficient sleep and insomnia with metabolic dysfunction. Ann N Y Acad Sci 2023; 1519:94-117. [PMID: 36373239 PMCID: PMC9839511 DOI: 10.1111/nyas.14926] [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] [Indexed: 11/16/2022]
Abstract
The global epidemic of obesity and type 2 diabetes parallels the rampant state of sleep deprivation in our society. Epidemiological studies consistently show an association between insufficient sleep and metabolic dysfunction. Mechanistically, sleep and circadian rhythm exert considerable influences on hormones involved in appetite regulation and energy metabolism. As such, data from experimental sleep deprivation in humans demonstrate that insufficient sleep induces a positive energy balance with resultant weight gain, due to increased energy intake that far exceeds the additional energy expenditure of nocturnal wakefulness, and adversely impacts glucose metabolism. Conversely, animal models have found that sleep loss-induced energy expenditure exceeds caloric intake resulting in net weight loss. However, animal models have significant limitations, which may diminish the clinical relevance of their metabolic findings. Clinically, insomnia disorder and insomnia symptoms are associated with adverse glucose outcomes, though it remains challenging to isolate the effects of insomnia on metabolic outcomes independent of comorbidities and insufficient sleep durations. Furthermore, both pharmacological and behavioral interventions for insomnia may have direct metabolic effects. The goal of this review is to establish an updated framework for the causal links between insufficient sleep and insomnia and risks for type 2 diabetes and obesity.
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Affiliation(s)
- Daisy Duan
- Division of Endocrinology, Diabetes, and Metabolism; Department of Medicine; Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Lenise J. Kim
- Division of Pulmonary and Critical Care; Department of Medicine; Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jonathan C. Jun
- Division of Pulmonary and Critical Care; Department of Medicine; Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Vsevolod Y. Polotsky
- Division of Pulmonary and Critical Care; Department of Medicine; Johns Hopkins University School of Medicine, Baltimore, Maryland
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16
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Carvalhas-Almeida C, Cavadas C, Álvaro AR. The impact of insomnia on frailty and the hallmarks of aging. Aging Clin Exp Res 2023; 35:253-269. [PMID: 36583849 PMCID: PMC9895045 DOI: 10.1007/s40520-022-02310-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/21/2022] [Indexed: 12/31/2022]
Abstract
Throughout the course of life, there are age-related changes in sleep. Despite these normal changes, there is a high percentage of older adults that report sleep dissatisfaction with a high pervasiveness of chronic insomnia, the most common sleep disorder worldwide, with its prevalence being expected to continuously increase due to the growing rates of aging and obesity. This can have different adverse health outcomes, especially by promoting both physical and cognitive decline, which ultimately may aggravate frailty in older adults. Moreover, age-related frailty and sleep dysfunction may have a common mechanism related to the hallmarks of cellular aging. Cellular aging was categorized into nine hallmarks, such as DNA damage, telomere attrition and epigenetic changes. In the context of geriatric and chronic insomnia research, this review aims at discussing the current evidence from both animal models and human cohorts addressing the link between chronic insomnia, the hallmarks of aging and their impact on frailty. Moreover, the most recent research about the putative effect of insomnia therapeutic approaches on hallmarks of aging will be also highlighted.
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Affiliation(s)
- Catarina Carvalhas-Almeida
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Centre for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
- EIT Health Ageing PhD School and Multidisciplinary Institute of Ageing (MIA-Portugal), Coimbra, Portugal
| | - Cláudia Cavadas
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Centre for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
- Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal
| | - Ana Rita Álvaro
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.
- Centre for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
- Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal.
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17
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Zhang Y, Xie Y, Huang L, Zhang Y, Li X, Fang Q, Wang Q. Association of Sleep Duration and Self-Reported Insomnia Symptoms with Metabolic Syndrome Components among Middle-Aged and Older Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11637. [PMID: 36141918 PMCID: PMC9517288 DOI: 10.3390/ijerph191811637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
The study aimed to explore the association between sleep duration, insomnia symptoms and the components of metabolic syndrome (MetS) among middle-aged and older adults. A cross-sectional study was conducted in five community health centers and physical check-up centers of two comprehensive hospitals in Guangdong. We recruited 1252 participants (658 female), aged 40-96 years and with a body mass index (BMI) of 16.26-35.56 kg/m2. MetS was assessed based on the guidelines of the International Diabetes Federation. Self-reported sleep duration was evaluated by a simplified questionnaire. Compared with the participants who slept 6-8 h/day, those who slept shorter (<6 h/day) or longer (>8 h/day) periods of time with or without insomnia symptoms had significantly increased odds ratios (ORs) of high blood pressure (except for the SBP in model 2) and high triglycerides (TGs) in all models (p < 0.05), whereas the participants who slept longer (>8 h/day) or shorter (<6 h/day) periods of time with insomnia symptoms had significantly increased ORs of low HDL-C in all models (p < 0.05), but non-significant in those without insomnia symptoms. BMI is significant for insomnia symptoms but not for sleep duration. Our study indicated that the association of sleep duration with MetS components was partially associated with insomnia symptoms. These findings have significant implications to explore the appropriate sleep duration for adults.
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Affiliation(s)
- Yuting Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yingcai Xie
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Lingling Huang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Yan Zhang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Xilin Li
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qiyu Fang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
| | - Qun Wang
- Health Science Centre, Shenzhen University, Shenzhen 518060, China
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18
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Shimamoto T, Furihata R, Nakagami Y, Tateyama Y, Kobayashi D, Kiyohara K, Iwami T. Providing Brief Personalized Therapies for Insomnia Among Workers Using a Sleep Prompt App: Randomized Controlled Trial. J Med Internet Res 2022; 24:e36862. [PMID: 35877164 PMCID: PMC9361141 DOI: 10.2196/36862] [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: 01/28/2022] [Revised: 06/10/2022] [Accepted: 06/23/2022] [Indexed: 12/04/2022] Open
Abstract
Background Insomnia is the most common sleep disorder and the foremost health concern among workers. We developed a new sleep prompt app (SPA) for smartphones to positively alter the users' consciousness and behavior by sending timely short messages for mild sleep problems at an early stage. Objective The aim of this study is to investigate the effectiveness of the SPA in providing brief personalized therapy for insomnia among workers. Methods We conducted a 2-arm parallel randomized controlled trial. The intervention group used the SPA, and the control group received no intervention. Participants were recruited between November 2020 and January 2021. The researcher sent emails for recruitment to more than 3000 workers of 2 companies and 1 university in Japan. The SPA provided personalized prompt messages, sleep diaries, sleep hygiene education, stimulus control therapy, and sleep restriction therapy. The prompt messages were sent automatically to the participants to encourage them to improve their sleep habits and sleep status and were optimized to the individual's daily rhythm. The intervention program duration was 4 weeks. The primary outcome was a change in the Insomnia Severity Index (ISI) for the study period. The ISI was obtained weekly using a web questionnaire. Results A total of 116 Japanese workers (intervention group n=60, control group n=56) with sleep disorders were recruited. Two participants in the intervention group were excluded from the analyses because of challenges in installing the SPA. The mean ISI scores at baseline were 9.2 for both groups; however, after 4 weeks, the mean ISI scores declined to 6.8 and 8.0 for the intervention and control groups, respectively. Primary analysis using a linear mixed model showed a significant improvement in the temporal trends of the ISI in the SPA group and in the total population (P=.03). Subgroup analyses of ISI-8-insomniacs revealed a significant improvement in the temporal trends of ISI in the SPA group (P=.01), and the CFS score for physical condition significantly improved following the intervention (P=.02). Conclusions This study demonstrates the effectiveness of the SPA in providing brief personalized therapy for insomnia among Japanese workers with mild insomnia. The physical fatigue score significantly improved in ISI-8-insomniacs. Thus, SPA could play an important role in reducing the adverse effects of sleep disorders in workers. To promote the wide use of the SPA in the future, further studies are required to examine its effectiveness in other age groups and individuals with health problems. Trial Registration University Medical Information Network Clinical Trials Registry (UMIN-CTR) UMIN000042263; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000046295
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Affiliation(s)
- Tomonari Shimamoto
- Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryuji Furihata
- Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan
| | - Yukako Nakagami
- Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan
| | - Yukiko Tateyama
- Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Daisuke Kobayashi
- Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan
| | - Kosuke Kiyohara
- Department of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan
| | - Taku Iwami
- Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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19
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Minakawa EN. Bidirectional Relationship Between Sleep Disturbances and Parkinson's Disease. Front Neurol 2022; 13:927994. [PMID: 35923835 PMCID: PMC9342689 DOI: 10.3389/fneur.2022.927994] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/15/2022] [Indexed: 12/01/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease (AD). Both diseases share common clinical and pathological features: the gradual progression of neurological and psychiatric symptoms caused by neuronal dysfunction and neuronal cell death due to the accumulation of misfolded and neurotoxic proteins. Furthermore, both of them are multifactorial diseases in which both genetic and non-genetic factors contribute to the disease course. Non-genetic factors are of particular interest for the development of preventive and therapeutic approaches for these diseases because they are modifiable; of these, sleep is a particularly intriguing factor. Sleep disturbances are highly prevalent among both patients with AD and PD. To date, research has suggested that sleep disturbances are a consequence as well as a risk factor for the onset and progression of AD, which implies a bidirectional relationship between sleep and AD. Whether such a relationship exists in PD is less certain, albeit highly plausible given the shared pathomechanisms. This review examines the current evidence for the bidirectional relationship between sleep and PD. It includes research in both humans and animal models, followed by a discussion of the current understanding of the mechanisms underlying this relationship. Finally, potential avenues of research toward achieving disease modification to treat or prevent PD are proposed. Although further efforts are crucial for preventing the onset and slowing the progress of PD, it is evident that sleep is a valuable candidate target for future interventions to improve the outcomes of PD patients.
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Affiliation(s)
- Eiko N. Minakawa
- Department of Neurophysiology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Japan
- Parkinson Disease and Movement Disorder Center, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- Sleep Disorder Center, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- Research Center for Neurocognitive Disorders, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- *Correspondence: Eiko N. Minakawa
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20
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Herhaus B, Kalin A, Gouveris H, Petrowski K. Mobile Heart Rate Variability Biofeedback Improves Autonomic Activation and Subjective Sleep Quality of Healthy Adults – A Pilot Study. Front Physiol 2022; 13:821741. [PMID: 35250623 PMCID: PMC8892186 DOI: 10.3389/fphys.2022.821741] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/18/2022] [Indexed: 01/01/2023] Open
Abstract
Objective Restorative sleep is associated with increased autonomous parasympathetic nervous system activity that might be improved by heart rate variability-biofeedback (HRV-BF) training. Hence the aim of this study was to investigate the effect of a four-week mobile HRV-BF intervention on the sleep quality and HRV of healthy adults. Methods In a prospective study, 26 healthy participants (11 females; mean age: 26.04 ± 4.52 years; mean body mass index: 23.76 ± 3.91 kg/m2) performed mobile HRV-BF training with 0.1 Hz breathing over four weeks, while sleep quality, actigraphy and HRV were measured before and after the intervention. Results Mobile HRV-BF training with 0.1 Hz breathing improved the subjective sleep quality in healthy adults [t(24) = 4.9127, p ≤ 0.001, d = 0.99] as measured by the Pittsburgh Sleep Quality Index. In addition, mobile HRV-BF training with 0.1 Hz breathing was associated with an increase in the time and frequency domain parameters SDNN, Total Power and LF after four weeks of intervention. No effect was found on actigraphy metrics. Conclusions Mobile HRV-BF intervention with 0.1 Hz breathing increased the reported subjective sleep quality and may enhance the vagal activity in healthy young adults. HRV-BF training emerges as a promising tool for improving sleep quality and sleep-related symptom severity by means of normalizing an impaired autonomic imbalance during sleep.
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Affiliation(s)
- Benedict Herhaus
- Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Adrian Kalin
- Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Haralampos Gouveris
- Sleep Medicine Center and Department of Otolaryngology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Katja Petrowski
- Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Internal Medicine III, University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany
- *Correspondence: Katja Petrowski,
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21
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Stich FM, Huwiler S, D'Hulst G, Lustenberger C. The Potential Role of Sleep in Promoting a Healthy Body Composition: Underlying Mechanisms Determining Muscle, Fat, and Bone Mass and Their Association with Sleep. Neuroendocrinology 2022; 112:673-701. [PMID: 34348331 DOI: 10.1159/000518691] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 07/22/2021] [Indexed: 11/19/2022]
Abstract
Sleep plays an essential role in human life. While sleep is a state elicited by the brain, its vital role reaches beyond maintaining brain health. Unhealthy sleeping habits have been associated with increased risk for inflammation, obesity, or diabetes. Evidence is emerging that sleep guides processes playing an important role in promoting the regulation of endocrine function involved in tissue regeneration and tissue remodelling. Thereby, sleep presumably is a critical factor contributing to the balance of core body tissues: bone, fat, and muscle mass. Given the increasing prevalence of various chronic diseases and comorbidities due to unhealthy lifestyle choices, sleep could be a key target to promote a healthy body composition up until old age. Here, we review the potential role of sleep and its underlying brain oscillations in body core tissues turnover. Specifically, we discuss potential underlying mechanisms linking sleep to body composition, both during rest and under challenging conditions. Among other described pathways, we highlight the possible role of the growth hormone that was found to be involved in the homeostasis of all core body tissues and has been strongly linked to brain activity dominating deep sleep, the so-called slow waves. Finally, we formulate important questions to be addressed in future research on the effect of sleep on body composition and specifically emphasize the importance of intervention studies to move from correlative to causal evidence.
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Affiliation(s)
- Fabia M Stich
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Stephanie Huwiler
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Gommaar D'Hulst
- Laboratory of Exercise and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Caroline Lustenberger
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
- Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland
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