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Guerrera CS, Boccaccio FM, Varrasi S, Platania GA, Coco M, Pirrone C, Castellano S, Caraci F, Ferri R, Lanza G. A narrative review on insomnia and hypersomnolence within Major Depressive Disorder and bipolar disorder: A proposal for a novel psychometric protocol. Neurosci Biobehav Rev 2024; 158:105575. [PMID: 38331126 DOI: 10.1016/j.neubiorev.2024.105575] [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: 07/03/2023] [Revised: 01/27/2024] [Accepted: 02/03/2024] [Indexed: 02/10/2024]
Abstract
Sleep disorders have become increasingly prevalent, with many adults worldwide reporting sleep dissatisfaction. Major Depressive Disorder (MDD) and Bipolar Disorder (BD) are common conditions associated with disrupted sleep patterns such as insomnia and hypersomnolence. These sleep disorders significantly affect the progression, severity, treatment, and outcome of unipolar and bipolar depression. While there is evidence of a connection between sleep disorders and depression, it remains unclear if sleep features differ between MDD and BD. In light of this, this narrative review aims to: (1) summarize findings on common sleep disorders like insomnia and hypersomnolence, strongly linked to MDD and BD; (2) propose a novel psychometric approach to assess sleep in individuals with depressive disorders. Despite insomnia seems to be more influent in unipolar depression, while hypersomnolence in bipolar one, there is no common agreement. So, it is essential adopting a comprehensive psychometric protocol for try to fill this gap. Understanding the relationship between sleep and MDD and BD disorders are crucial for effective management and better quality of life for those affected.
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Affiliation(s)
- Claudia Savia Guerrera
- Department of Educational Sciences, University of Catania, Via Biblioteca, 4, 95124 Catania, Italy; Department of Biomedical and Biotechnological Sciences, University of Catania, Torre Biologica, Via Santa Sofia, 97, 95123 Catania, Italy.
| | | | - Simone Varrasi
- Department of Educational Sciences, University of Catania, Via Biblioteca, 4, 95124 Catania, Italy
| | | | - Marinella Coco
- Department of Educational Sciences, University of Catania, Via Biblioteca, 4, 95124 Catania, Italy
| | - Concetta Pirrone
- Department of Educational Sciences, University of Catania, Via Biblioteca, 4, 95124 Catania, Italy
| | - Sabrina Castellano
- Department of Educational Sciences, University of Catania, Via Biblioteca, 4, 95124 Catania, Italy
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Cittadella Universitaria, Via Santa Sofia, 95123 Catania, Italy; Unit of Neuropharmacology and Translation Neurosciences, Oasi Research Institute - IRCCS, Via Conte Ruggero 73, 94018 Troina, En, Italy
| | - Raffaele Ferri
- Sleep Research Centre, Department of Neurology IC, Oasi Research Institute - IRCCS, Via Conte Ruggero 73, 94018 Troina, En, Italy
| | - Giuseppe Lanza
- Unit of Neuropharmacology and Translation Neurosciences, Oasi Research Institute - IRCCS, Via Conte Ruggero 73, 94018 Troina, En, Italy; Department of Surgery and Medical-Surgical Specialties, University of Catania, A.O.U. "Policlinico - San Marco", Via Santa Sofia, 78, 95123 Catania, Italy
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Harrington MO, Reeve S, Bower JL, Renoult L. How do the sleep features that characterise depression impact memory? Emerg Top Life Sci 2023; 7:499-512. [PMID: 38054537 PMCID: PMC10754336 DOI: 10.1042/etls20230100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 12/07/2023]
Abstract
Depression is associated with general sleep disturbance and abnormalities in sleep physiology. For example, compared with control subjects, depressed patients exhibit lower sleep efficiency, longer rapid eye movement (REM) sleep duration, and diminished slow-wave activity during non-REM sleep. A separate literature indicates that depression is also associated with many distinguishing memory characteristics, including emotional memory bias, overgeneral autobiographical memory, and impaired memory suppression. The sleep and memory features that hallmark depression may both contribute to the onset and maintenance of the disorder. Despite our rapidly growing understanding of the intimate relationship between sleep and memory, our comprehension of how sleep and memory interact in the aetiology of depression remains poor. In this narrative review, we consider how the sleep signatures of depression could contribute to the accompanying memory characteristics.
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Affiliation(s)
| | - Sarah Reeve
- Department of Clinical Psychology and Psychological Therapies, Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Joanne L. Bower
- School of Psychology, University of East Anglia, Norwich, U.K
| | - Louis Renoult
- School of Psychology, University of East Anglia, Norwich, U.K
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Shi Y, Li W, Chen C, Yuan X, Yang Y, Wang S, Liu Z, Geng F, Wang J, Luo X, Wen X, Xia L, Liu H. Excessive Daytime Sleepiness and Insomnia Symptoms in Adolescents With Major Depressive Disorder: Prevalence, Clinical Correlates, and the Relationship With Psychiatric Medications Use. Psychiatry Investig 2023; 20:1018-1026. [PMID: 37997329 PMCID: PMC10678154 DOI: 10.30773/pi.2023.0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/21/2023] [Accepted: 07/28/2023] [Indexed: 11/25/2023] Open
Abstract
OBJECTIVE Excessive daytime sleepiness (EDS) and insomnia symptoms are common in patients with major depressive disorder (MDD), which might lead to a poor prognosis and an increased risk of depression relapse. The current study aimed to investigate the prevalence, and sociodemographic and clinical correlates of EDS and insomnia symptoms among adolescents with MDD. METHODS The sample of this cross-sectional study included 297 adolescents (mean age=15.26 years; range=12-18 years; 218 females) with MDD recruited from three general and four psychiatric hospitals in five cities (Hefei, Bengbu, Fuyang, Suzhou, and Ma'anshan) in Anhui Province, China between January and August, 2021. EDS and insomnia symptoms, and clinical severity of depressive symptoms were assessed using Epworth sleepiness scale, Insomnia Severity Index, and Clinical Global Impression-Severity. RESULTS The prevalence of EDS and insomnia symptoms in adolescents with MDD was 39.7% and 38.0%, respectively. Binary logistic regression analyses showed that EDS symptoms were significantly associated with higher body mass index (odds ratio [OR]=1.097, 95% confidence interval [CI]=1.027-1.172), more severe depressive symptoms (OR=1.313, 95% CI=1.028-1.679), and selective serotonin reuptake inhibitors use (OR=2.078, 95% CI=1.199-3.601). And insomnia symptoms were positively associated with female sex (OR=1.955, 95% CI=1.052-3.633), suicide attempts (OR=1.765, 95% CI=1.037-3.005), more severe depressive symptoms (OR=2.031, 95% CI=1.523-2.709), and negatively associated with antipsychotics use (OR=0.433, 95% CI=0.196-0.952). CONCLUSION EDS and insomnia symptoms are common among adolescents with MDD. Considering their negative effects on the clinical prognosis, regular screening and clinical managements should be developed for this patient population.
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Affiliation(s)
- Yudong Shi
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, China
| | - Wei Li
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Changhao Chen
- Department of Psychiatry, Suzhou Second People’s Hospital, Suzhou, Anhui, China
| | - Xiaoping Yuan
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yingying Yang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, China
| | - Song Wang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, China
| | - Zhiwei Liu
- Department of Psychiatry, Fuyang Third People’s Hospital, Fuyang, Anhui, China
| | - Feng Geng
- Department of Psychiatry, Hefei Fourth People’s Hospital, Hefei, Anhui, China
| | - Jiawei Wang
- Department of Psychiatry, Bozhou People’s Hospital, Bozhou, Anhui, China
| | - Xiangfen Luo
- Department of Psychiatry, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Xiangwang Wen
- Department of Psychiatry, Ma’anshan Fourth People’s Hospital, Ma’anshan, Anhui, China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui, China
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Peng R, Zhang X, Li R, Zhang G, Yue Y, Wu S, Wu Y, Yang R, Zhou Y, Du X, Zhang X. Prevalence and clinical correlates of psychotic symptoms in first-episode untreated female chinese patients with major depressive disorder. BMC Psychiatry 2023; 23:549. [PMID: 37507684 PMCID: PMC10385887 DOI: 10.1186/s12888-023-05011-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Recent studies have reported that psychotic symptoms are common in patients with major depressive disorder (MDD). However, few studies have reported the relationship between thyroid function, lipid metabolism and clinical profiles in female MDD patients. Thus, this study aimed to investigate the prevalence of psychotic depression (PD) and its risk factors in first-episode and drug naive (FEDN) depression among the female population in China. METHODS This was a cross-sectional study involving a representative probability sample of 1,130 FEDN female outpatients with MDD (aged 18 years or older) in China. We collected information relating to socio-demographic characteristics, clinical data and blood samples. The Hamilton Depression Rating Scale 17-item version (HAMD-17), Hamilton Anxiety Rating Scale 14-item version (HAMA-14), and Positive and Negative Syndrome Scale (PANSS) were used to evaluate depressive, anxiety, and psychotic symptoms. RESULTS The prevalence of psychotic symptoms in female MDD patients was 10.97%. The findings revealed significant differences between MDD female patients with psychotic symptoms and non-PD female patients in the following areas: higher HAMD scores, higher HAMA scores, more severe anxiety and an increased risk of suicide attempts. Further logistic regression analysis showed that psychotic symptoms were associated with higher thyroid-stimulating hormone (TSH) levels and an odds ratio of 1.168. CONCLUSIONS Our findings supported the hypothesis that higher TSH levels were correlated with psychotic symptoms in female MDD patients. Therefore, serum TSH levels may be a potential biomarker of PD in female MDD patients. In addition, we found that PD was closely associated with suicide attempts and lipid levels, but did not reach statistical significance.
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Affiliation(s)
- Ruijie Peng
- Medical College of Soochow University, Suzhou, China
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Xiaobin Zhang
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Ronghua Li
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Guangya Zhang
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Yan Yue
- Medical College of Soochow University, Suzhou, China
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Siqi Wu
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
- School Psychology and Mental Health, North China University of Science and Technology, Qinhuangdao, China
| | - Yuxuan Wu
- Medical College of Soochow University, Suzhou, China
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Ruchang Yang
- Medical College of Soochow University, Suzhou, China
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
| | - Yue Zhou
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China
- Xuzhou Medical University, Xuzhou, China
| | - Xiangdong Du
- Institution of Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, 215131, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoying District, Beijing, 100101, China.
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Abstract
PURPOSE OF REVIEW There is increasing interest in the connection between sleep disturbances and mood disorders. The purpose of this review is to summarize and evaluate current research on the role of sleep disturbance in the development of depression, as well as to describe recent advances in treatments that improve both sleep and depression symptoms. RECENT FINDINGS Relevant publications included in this review cover a wide range of topics related to sleep and depression. Data from large longitudinal studies suggest that insomnia and evening circadian preference are unique risk factors for depression. Depression treatment studies indicate poorer outcomes for those with comorbid sleep disturbances. A few recent trials of cognitive behavioral therapy for insomnia and triple chronotherapy in unipolar depression have shown promising results. SUMMARY Sleep disturbance is a modifiable risk factor in the development and maintenance of depression. In the context of current depression, although the data is mixed, some evidence suggests treating sleep disturbance can improve overall outcomes. Recent evidence also suggests that treating sleep disturbance may prevent the future depressive episodes.
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Capon W, Hickie IB, Varidel M, Prodan A, Crouse JJ, Carpenter JS, Cross SP, Nichles A, Zmicerevska N, Guastella AJ, Scott EM, Scott J, Shah J, Iorfino F. Clinical staging and the differential risks for clinical and functional outcomes in young people presenting for youth mental health care. BMC Med 2022; 20:479. [PMID: 36514113 PMCID: PMC9749194 DOI: 10.1186/s12916-022-02666-w] [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: 04/10/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Clinical staging proposes that youth-onset mental disorders develop progressively, and that active treatment of earlier stages should prevent progression to more severe disorders. This retrospective cohort study examined the longitudinal relationships between clinical stages and multiple clinical and functional outcomes within the first 12 months of care. METHODS Demographic and clinical information of 2901 young people who accessed mental health care at age 12-25 years was collected at predetermined timepoints (baseline, 3 months, 6 months, 12 months). Initial clinical stage was used to define three fixed groups for analyses (stage 1a: 'non-specific anxious or depressive symptoms', 1b: 'attenuated mood or psychotic syndromes', 2+: 'full-threshold mood or psychotic syndromes'). Logistic regression models, which controlled for age and follow-up time, were used to compare clinical and functional outcomes (role and social function, suicidal ideation, alcohol and substance misuse, physical health comorbidity, circadian disturbances) between staging groups within the initial 12 months of care. RESULTS Of the entire cohort, 2093 young people aged 12-25 years were followed up at least once over the first 12 months of care, with 60.4% female and a baseline mean age of 18.16 years. Longitudinally, young people at stage 2+ were more likely to develop circadian disturbances (odds ratio [OR]=2.58; CI 1.60-4.17), compared with individuals at stage 1b. Additionally, stage 1b individuals were more likely to become disengaged from education/employment (OR=2.11, CI 1.36-3.28), develop suicidal ideations (OR=1.92; CI 1.30-2.84) and circadian disturbances (OR=1.94, CI 1.31-2.86), compared to stage 1a. By contrast, we found no relationship between clinical stage and the emergence of alcohol or substance misuse and physical comorbidity. CONCLUSIONS The differential rates of emergence of poor clinical and functional outcomes between early versus late clinical stages support the clinical staging model's assumptions about illness trajectories for mood and psychotic syndromes. The greater risk of progression to poor outcomes in those who present with more severe syndromes may be used to guide specific intervention packages.
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Affiliation(s)
- William Capon
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.,Translational Health Research Institute, Western Sydney University, Sydney, 2751, Australia.,School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, 2751, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Shane P Cross
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, 2109, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | | | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, H3A 0G4, Canada
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.
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Lo YJ, Mishra VK, Lo HY, Dubey NK, Lo WC. Clinical Spectrum and Trajectory of Innovative Therapeutic Interventions for Insomnia: A Perspective. Aging Dis 2022:AD.2022.1203. [PMID: 37163444 PMCID: PMC10389812 DOI: 10.14336/ad.2022.1203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/03/2022] [Indexed: 05/12/2023] Open
Abstract
Increasing incidences of insomnia in adults, as well as the aging population, have been reported for their negative impact on the quality of life. Insomnia episodes may be associated with neurocognitive, musculoskeletal, cardiovascular, gastrointestinal, renal, hepatic, and metabolic disorders. Epidemiological evidence also revealed the association of insomnia with oncologic and asthmatic complications, which has been indicated as bidirectional. Two therapeutic approaches including cognitive behavioral therapy (CBT) and drugs-based therapies are being practiced for a long time. However, the adverse events associated with drugs limit their wide and long-term application. Further, Traditional Chinese medicine, acupressure, and pulsed magnetic field therapy may also provide therapeutic relief. Notably, the recently introduced cryotherapy has been demonstrated as a potential candidate for insomnia which could reduce pain, by suppressing oxidative stress and inflammation. It seems that the synergistic therapeutic approach of cryotherapy and the above-mentioned approaches might offer promising prospects to further improve efficacy and safety. Considering these facts, this perspective presents a comprehensive summary of recent advances in pathological aetiologies of insomnia including COVID-19, and its therapeutic management with a greater emphasis on cryotherapy.
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Affiliation(s)
| | | | | | - Navneet Kumar Dubey
- Victory Biotechnology Co., Ltd., Taipei 114757, Taiwan
- ShiNeo Technology Co., Ltd., New Taipei City 24262, Taiwan
| | - Wen-Cheng Lo
- Department of Surgery, Division of Neurosurgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Department of Neurosurgery, Taipei Medical University Hospital, Taipei 11031, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei 11031, Taiwan
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Liu X, Yang Y, Liu Z, Jia C. Associations between Insomnia, Daytime Sleepiness, and Depressive Symptoms in Adolescents: A Three-Wave Longitudinal Study. J Clin Med 2022; 11:jcm11236912. [PMID: 36498487 PMCID: PMC9739758 DOI: 10.3390/jcm11236912] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/13/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Insomnia, daytime sleepiness, and depressive symptoms are prevalent in adolescents. This three-wave prospective study examined the associations between the three symptoms in adolescents. METHODS A total of 6995 schoolchildren in 7th and 10th grades (Mean age = 14.86 years) participated in a longitudinal study of behavior and health in Shandong, China. Standardized rating scales were used to assess symptoms of insomnia, daytime sleepiness, and depression in November-December in 2015, 1 year later, and 2 years later. RESULTS Insomnia was cross-sectionally associated with 10-14-fold increased odds of daytime sleepiness and 5-9-fold increased odds of depression. Daytime sleepiness was associated with 4-5-fold increased odds of depression. Insomnia, daytime sleepiness, or depression at a later time point was significantly predicted by itself at earlier time points. Insomnia was a significant predictor of daytime sleepiness and depression and a mediator between depression and daytime sleepiness. Daytime sleepiness was a significant predictor of insomnia and a mediator between depression and insomnia. Depression was a significant predictor of insomnia and daytime sleepiness and a mediator between insomnia and daytime sleepiness. CONCLUSIONS Insomnia, daytime sleepiness, and depressive symptoms were highly comorbid in adolescents. The associations of insomnia with daytime sleepiness and depression were bidirectional. Depression predicted daytime sleepiness, but not vice versa. Further research is needed to understand the underlying neurobiological mechanisms between insomnia, daytime sleepiness, and depression during adolescence.
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Affiliation(s)
- Xianchen Liu
- Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence:
| | - Yanyun Yang
- Department of Educational Psychology and Learning Systems, Florida State University, Tallahassee, FL 32306, USA
| | - Zhenzhen Liu
- School of Psychology, Northeast Normal University, Changchun 130024, China
| | - Cunxian Jia
- Department of Epidemiology, School of Public Health, Cheeloo Medical College, Shandong University, Jinan 250012, China
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Yin X, Li W, Liang T, Lu B, Yue H, Li S, Zhong VW, Zhang W, Li X, Zhou S, Mi Y, Wu H, Xu S. Effect of Electroacupuncture on Insomnia in Patients With Depression: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2220563. [PMID: 35797047 PMCID: PMC9264041 DOI: 10.1001/jamanetworkopen.2022.20563] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
IMPORTANCE Electroacupuncture (EA) is a widely recognized therapy for depression and sleep disorders in clinical practice, but its efficacy in the treatment of comorbid insomnia and depression remains uncertain. OBJECTIVE To assess the efficacy and safety of EA as an alternative therapy in improving sleep quality and mental state for patients with insomnia and depression. DESIGN, SETTING, AND PARTICIPANTS A 32-week patient- and assessor-blinded, randomized, sham-controlled clinical trial (8-week intervention plus 24-week observational follow-up) was conducted from September 1, 2016, to July 30, 2019, at 3 tertiary hospitals in Shanghai, China. Patients were randomized to receive EA treatment and standard care, sham acupuncture (SA) treatment and standard care, or standard care only as control. Patients were 18 to 70 years of age, had insomnia, and met the criteria for depression as classified in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). Data were analyzed from May 4 to September 13, 2020. INTERVENTIONS All patients in the 3 groups were provided with standard care guided by psychiatrists. Patients in the EA and SA groups received real or sham acupuncture treatment, 3 sessions per week for 8 weeks, for a total of 24 sessions. MAIN OUTCOMES AND MEASURES The primary outcome was change in Pittsburgh Sleep Quality Index (PSQI) from baseline to week 8. Secondary outcomes included PSQI at 12, 20, and 32 weeks of follow-up; sleep parameters recorded in actigraphy; Insomnia Severity Index; 17-item Hamilton Depression Rating Scale score; and Self-rating Anxiety Scale score. RESULTS Among the 270 patients (194 women [71.9%] and 76 men [28.1%]; mean [SD] age, 50.3 [14.2] years) included in the intention-to-treat analysis, 247 (91.5%) completed all outcome measurements at week 32, and 23 (8.5%) dropped out of the trial. The mean difference in PSQI from baseline to week 8 within the EA group was -6.2 (95% CI, -6.9 to -5.6). At week 8, the difference in PSQI score was -3.6 (95% CI, -4.4 to -2.8; P < .001) between the EA and SA groups and -5.1 (95% CI, -6.0 to -4.2; P < .001) between the EA and control groups. The efficacy of EA in treating insomnia was sustained during the 24-week postintervention follow-up. Significant improvement in the 17-item Hamilton Depression Rating Scale (-10.7 [95% CI, -11.8 to -9.7]), Insomnia Severity Index (-7.6 [95% CI, -8.5 to -6.7]), and Self-rating Anxiety Scale (-2.9 [95% CI, -4.1 to -1.7]) scores and the total sleep time recorded in the actigraphy (29.1 [95% CI, 21.5-36.7] minutes) was observed in the EA group during the 8-week intervention period (P < .001 for all). No between-group differences were found in the frequency of sleep awakenings. No serious adverse events were reported. CONCLUSIONS AND RELEVANCE In this randomized clinical trial of EA treatment for insomnia in patients with depression, quality of sleep improved significantly in the EA group compared with the SA or control group at week 8 and was sustained at week 32. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03122080.
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Affiliation(s)
- Xuan Yin
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Li
- School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tingting Liang
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bing Lu
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Acupuncture and Moxibustion, Huadong Hospital, Fudan University, Shanghai, China
| | - Hongyu Yue
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shanshan Li
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Victor W. Zhong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Zhang
- School of Public Health, Fudan University, Shanghai, China
| | - Xia Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuang Zhou
- Department of Traditional Chinese Medicine, Changhai Hospital, Navy Medical University, Shanghai, China
| | - Yiqun Mi
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Huangan Wu
- Shanghai Research Institute of Acupuncture and Meridian, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shifen Xu
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Jiang Y, Jiang T, Xu LT, Ding L. Relationship of depression and sleep quality, diseases and general characteristics. World J Psychiatry 2022; 12:722-738. [PMID: 35663298 PMCID: PMC9150039 DOI: 10.5498/wjp.v12.i5.722] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/14/2022] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Depression is the most common type of depressive disorder. The most common sleep disorder associated with depression is insomnia. Insomnia and depression are closely related.
AIM To investigate the relationship of designed questionnaire items and depression, and analyze the related factors with depression.
METHODS Questionnaire included Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh sleep quality index (PSQI), 12 kinds of diseases, 8 general characteristics, and 20 insomnia characteristics, totally 56 items were filled out by 411 patients enrolled.
RESULTS All the 9 items of PHQ-9, 6 components of PSQI (except sleep duration), education, living situation, exercise, years of insomnia, western medicine treatment, Chinese medicine treatment, psychotherapy, kinds of insomnia, treatment expected to treat insomnia, psychological counseling, habit of 1 h before bed, habit of lunch break, diagnosed depression, coronary heart disease, mental illness showed significant difference between without and with depression group. By univariate analysis and multivariate analysis. The odds ratio of education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression, coronary heart disease (P = 0.01) showed significant difference. Their odds ratios were 0.71 (0.55, 0.93), 2.09 (1.32, 3.31), 0.76 (0.63, 0.91), 0.89 (0.81, 0.98), 0.32 (0.17, 0.60), 0.43 (0.23, 0.79).
CONCLUSION We demonstrated that education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression and coronary heart disease affect the depression.
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Affiliation(s)
- Yan Jiang
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - Tao Jiang
- Department of Medicine Innovation Research, Chinese PLA General Hospital, Beijing 100853, China
| | - Li-Tao Xu
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - Lan Ding
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
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11
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Takaesu Y, Kanda Y, Nagahama Y, Shiroma A, Ishii M, Hashimoto T, Watanabe K. Delayed sleep-wake rhythm is associated with cognitive dysfunction, social dysfunction, and deteriorated quality of life in patients with major depressive disorder. Front Psychiatry 2022; 13:1022144. [PMID: 36419978 PMCID: PMC9677332 DOI: 10.3389/fpsyt.2022.1022144] [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: 08/18/2022] [Accepted: 10/20/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The delayed sleep-wake phase is commonly observed in major depressive disorder (MDD) and thought to be associated with functional impairments. This study aimed to evaluate the relationship between the delayed sleep-wake phase, cognitive dysfunction, social dysfunction, and quality of life in patients with MDD. METHODS This cross-sectional design included 33 outpatients with MDD. Objective sleep-wake rhythm was assessed by actigraphy. Functional impairments were evaluated by the Japanese version of the Brief Assessment of Cognition in Schizophrenia (BACS-J), World Health Organization Disability Assessment Schedule (WHO-DAS), and Euro QOL 5 dimensions (EQ5D). RESULTS Actigraphic assessment of the delayed sleep-wake phase (midpoint of sleep) was significantly correlated with the composite score of the BACS-J (r = -0.489, p = 0.010), WHO-DAS score (r = 0.466, p = 0.014), and EQ5D score (r = 0.472, p = 0.013). No significant correlation was found between the other actigraphic sleep parameters (sleep latency, total sleep time, and sleep efficiency) and functional impairments. CONCLUSION Our study's results suggested that the delayed sleep-wake phase is associated with cognitive dysfunction, social dysfunction, and deteriorated quality of life in patients with MDD. Clinicians should pay attention to the sleep-wake rhythm in patients with MDD in clinical settings.
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Affiliation(s)
- Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan.,Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Yuta Kanda
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Yu Nagahama
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Ayano Shiroma
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Miho Ishii
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Tasuku Hashimoto
- Department of Psychiatry, School of Medicine, International University of Health and Welfare, Narita, Japan.,Department of Psychiatry, Sodegaura Satsukidai Hospital, Sodegaura, Japan.,Department of Psychiatry, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Koichiro Watanabe
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
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12
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Song TH, Wang TT, Zhuang YY, Zhang H, Feng JH, Luo TR, Zhou SJ, Chen JX. Nightmare Distress as a Risk Factor for Suicide Among Adolescents with Major Depressive Disorder. Nat Sci Sleep 2022; 14:1687-1697. [PMID: 36172081 PMCID: PMC9512282 DOI: 10.2147/nss.s362999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 09/01/2022] [Indexed: 01/10/2023] Open
Abstract
PURPOSE Nightmare is common and is also independently implicated in suicide risk among the adolescent population. Adolescents with major depressive disorder (MDD) are at an increased risk of suicide. Therefore, comorbid nightmares may amplify suicide risk among this clinical population. This study aimed to explore the effects of nightmares on suicide risk among adolescents with MDD. PATIENTS AND METHODS Subjects were 499 outpatients aged 12-18 in four large psychiatric hospitals clinic of China, from January 1 to October 31, 2021. Simultaneously, we matched 499 healthy controls according to gender and age. All participants underwent affective state (depressive and anxiety symptoms) and sleep variable (nightmare frequency/distress, insomnia symptoms, and daytime sleepiness) evaluation as well as MDD diagnoses and determination of suicide risk by a fully structured diagnostic clinical interview. RESULTS Adolescents with MDD reported a higher incidence of frequent nightmares (at least one night per week) and level of nightmare distress than healthy controls (22.0% vs 6.1%; 28.85 ± 11.92 vs 17.30 ± 5.61). Over half of the patients with suicide risk (51.6%) experienced frequent nightmares compared with approximately one-third of those at a risk for suicide (30.7%). Patients with suicide risk scored scientifically higher on sleep variables, depressive and anxiety symptoms than those without the risk. Further logistic regression analysis indicated that female gender, junior grade, recurrent depressive episode, severe nightmare distress and severe depressive symptoms were independently and significantly associated with suicide risk. CONCLUSION Our study provided evidence that adolescents with MDD experienced a higher prevalence of frequent nightmares and suffered more nightmare distress. Nightmare distress is an independent risk factor for suicide risk.
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Affiliation(s)
- Tian-He Song
- Department of Psychology, Chengde Medical University, Chengde, Hebei, People's Republic of China.,Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, People's Republic of China
| | - Ting-Ting Wang
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, People's Republic of China.,School of Mental Health, Bengbu Medical College, Bengbu, Anhui, People's Republic of China
| | - Yun-Yue Zhuang
- Department of Psychology, Chengde Medical University, Chengde, Hebei, People's Republic of China.,Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, People's Republic of China
| | - Hua Zhang
- Dongying People's Hospital, Dongying, Shandong, People's Republic of China
| | - Jun-Hui Feng
- Jining Psychiatric Hospital, Jining, Shandong, People's Republic of China
| | - Tang-Ren Luo
- The Third Hospital of Longyan, Longyan, Fujian, People's Republic of China
| | - Shuang-Jiang Zhou
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, People's Republic of China
| | - Jing-Xu Chen
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, People's Republic of China
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13
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Furihata R, Otsuki R, Hasegawa N, Tsuboi T, Numata S, Yasui-Furukori N, Kashiwagi H, Hori H, Ochi S, Muraoka H, Onitsuka T, Komatsu H, Takeshima M, Hishimoto A, Nagasawa T, Takaesu Y, Nakamura T, Asami T, Miura K, Matsumoto J, Ohi K, Yasuda Y, Iida H, Ogasawara K, Hashimoto N, Ichihashi K, Yamada H, Watanabe K, Inada K, Hashimoto R. Hypotic medication use among inpatients with schizophrenia and major depressive disorder: results of a nationwide study. Sleep Med 2021; 89:23-30. [PMID: 34875519 DOI: 10.1016/j.sleep.2021.11.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 12/13/2022]
Abstract
STUDY OBJECTIVES To investigate the proportion of inpatients with schizophrenia and major depressive disorder prescribed hypnotic medication, and the association between such medication and the use of other antipsychotic agents. METHODS This was a nationwide cross-sectional study performed as part of the 'Effectiveness of Guidelines for Dissemination and Education in Psychiatric Treatment' (EGUIDE) project. Data from 2146 inpatients with schizophrenia and 1031 inpatients with major depressive disorder were analyzed. All types and dosages of psychotropic drugs were recorded and the data at the time of discharge were analyzed. Associations between the use of hypnotic medication and other antipsychotic agents were evaluated using multivariate logistic regression analyses. RESULTS The proportions of schizophrenia patients who were prescribed any and two or more hypnotic agents were 55.7% and 17.6%, respectively, and the corresponding proportions for patients with major depressive disorder were 63.6% and 22.6%, respectively. In schizophrenia patients, multivariate logistic regression analyses showed that two or more antipsychotics, anticholinergic drugs, anxiolytics, and mood stabilizers/antiepileptic drugs were positively associated with the use of any hypnotic agent. In patients with major depressive disorder, multivariate logistic regression analyses revealed that two or more antidepressants, two or more antipsychotics, anxiolytics, and mood stabilizers/antiepileptic drugs were positively associated with the use of any hypnotic agent. CONCLUSIONS Prescription of hypnotic agents was found to be highly frequent among inpatients with psychiatric disorders. Prescription of two or more main antipsychotic agents was commonly associated with the use of hypnotic medication for both schizophrenia and major depressive disorder.
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Affiliation(s)
| | - Rei Otsuki
- Department of Psychiatry, Nihon University School of Medicine, Japan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan
| | - Takashi Tsuboi
- Department of Neuropsychiatry, Kyorin University School of Medicine, Japan
| | - Shusuke Numata
- Department of Psychiatry, Graduate School of Biomedical Science, Tokushima University, Japan
| | | | - Hiroko Kashiwagi
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan; Department of Forensic Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, Japan
| | - Hikaru Hori
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Japan
| | - Shinichiro Ochi
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Japan
| | - Hiroyuki Muraoka
- Department of Psychiatry, Tokyo Women's Medical University, Japan
| | - Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | | | - Masahiro Takeshima
- Department of Neuropsychiatry, Akita University Graduate School of Medicine, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Yokohama City University Graduate School of Medicine, Japan
| | - Tatsuya Nagasawa
- Department of Neuropsychiatry Kanazawa Medical University, Japan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Japan
| | | | - Takeshi Asami
- Department of Psychiatry, Yokohama City University Graduate School of Medicine, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan; Medical Corporation Foster, Japan
| | - Hitoshi Iida
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Japan
| | - Kazuyoshi Ogasawara
- Center for Postgraduate Clinical Training and Career Development, Nagoya University Hospital, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Japan
| | - Kayo Ichihashi
- Department of Neuropsychiatry, University of Tokyo Hospital, Japan
| | - Hisashi Yamada
- Department of Neuropsychiatry, Hyogo College of Medicine, Japan; Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan
| | - Koichiro Watanabe
- Department of Neuropsychiatry, Kyorin University School of Medicine, Japan
| | - Ken Inada
- Department of Psychiatry, Tokyo Women's Medical University, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Japan.
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