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Le PH, Khanh-Dao Le L, Rajaratnam SMW, Mihalopoulos C. Quality of life impacts associated with comorbid insomnia and depression in adult population. Qual Life Res 2024:10.1007/s11136-024-03793-y. [PMID: 39325126 DOI: 10.1007/s11136-024-03793-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2024] [Indexed: 09/27/2024]
Abstract
PURPOSE Health-related quality of life (HRQoL) impacts of insomnia and depression (as separated entities) have been well investigated in previous studies. However, little is known about the effect of comorbid insomnia and depression on HRQoL. This study aimed to assess the impacts of insomnia and depression, in combination or alone, on HRQoL in Australian adults. METHODS Data used in this study were obtained from the large-scale longitudinal Household, Income and Labour Dynamics in Australia (HILDA) survey. Insomnia was defined using key insomnia criteria of DSM-V. Depression was based on validated cut-off points of the Mental Health Inventory-5 (MHI-5) (scores ≤ 62) in the base case analysis. HRQoL expressed as utility scores (ranging from 0 to 1) were measured using the Short-Form 6-Dimension (SF-6D) converted from the SF-36 and valued using an Australian scoring algorithm. Multi-level modelling was applied to assess the effect of insomnia and/or depression on utility scores. RESULTS The study analysed 30,972 observations from 10,324 individuals (age [mean ± SD]: 45.7 ± 16.5, female: 54.6%). The proportion of individuals with insomnia only, depression only, and comorbid insomnia and depression was 11.3%, 11.6%, and 8.2%, respectively. The interaction effect suggested the combined impact of insomnia and depression on health-related quality of life beyond the sum of their individual effects. Marginal mean difference in utility scores for insomnia only, depression only, and the comorbidity relative to no insomnia or depression was -0.058 (SE: 0.003, Cohen's d: 0.420, small effect), -0.210 (SE: 0.003, Cohen's d: 1.530, large effect), and -0.291 (SE: 0.004, Cohen's d: 2.120, large effect), respectively. CONCLUSION Comorbid depression and insomnia appear to have very large quality-of-life impacts. Furthermore, this is the first study that has estimated the magnitude of the impact of comorbid insomnia and depression on utility scores which can be utilised in future clinical or economic studies.
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Affiliation(s)
- Phuong Hong Le
- Monash University Health Economics Group (MUHEG), School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia.
| | - Long Khanh-Dao Le
- Monash University Health Economics Group (MUHEG), School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia
| | - Shantha M W Rajaratnam
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
| | - Cathrine Mihalopoulos
- Monash University Health Economics Group (MUHEG), School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia
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Zhou J, Zhou J, Feng Y, Feng L, Xiao L, Chen X, Feng Z, Yang J, Wang G. The novel subtype of major depressive disorder characterized by somatic symptoms is associated with poor treatment efficacy and prognosis: A data-driven cluster analysis of a prospective cohort in China. J Affect Disord 2024; 347:576-583. [PMID: 38065479 DOI: 10.1016/j.jad.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/15/2023] [Accepted: 12/02/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND There is not yet a valid and evidence-based system to classify patients with MDD into more homogeneous subtypes based on their clinical features. This study aims to identify symptom-based subtypes of MDD and investigate whether the treatment outcomes of those subtypes would be different. METHOD The cohort was established at 12 densely populated cities of China. A total of 1487 patients were enrolled. All participants were 18-65 years old and diagnosed with MDD. Participants were followed up at baseline, weeks 4, 8, and 12, and months 4 and 6. K-means algorithm was used to cluster patients with MDD according to clinical symptoms. The network analysis was adopted to characterize and compare the symptom patterns in the clusters. We also examined the associations between the clusters and the clinical outcomes. RESULTS The optimal number of the clusters was determined to be 2. Each cluster's maximum Jaccard Co-efficient was calculated to be >0.5 (cluster1 = 0.53, cluster 2 = 0.67). The symptom "depressed mood" and some other affective symptoms were the most prominent in cluster 1. Somatic symptoms, such as weight loss and general somatic symptoms, had the greatest expected influence in cluster 2. Compared with the response rates of the patients in the "somatic cluster", those of the patients in the "affective cluster" were significantly higher (P < 0.05). CONCLUSIONS Patients with MDD might be classified into two symptom-based subtypes featured with affective symptoms or somatic symptoms. The treatment efficacy and prognosis of the subtype featured with somatic symptoms may be worse.
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Affiliation(s)
- Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zizhao Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Morin CM, Chen SJ, Ivers H, Beaulieu-Bonneau S, Krystal AD, Guay B, Bélanger L, Cartwright A, Simmons B, Lamy M, Busby M, Edinger JD. Effect of Psychological and Medication Therapies for Insomnia on Daytime Functions: A Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2349638. [PMID: 38153735 PMCID: PMC10755607 DOI: 10.1001/jamanetworkopen.2023.49638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 10/23/2023] [Indexed: 12/29/2023] Open
Abstract
Importance Daytime functional impairments are the primary reasons for patients with insomnia to seek treatment, yet little is known about what the optimal treatment is for improving daytime functions and how best to proceed with treatment for patients whose insomnia has not remitted. Objectives To compare the efficacy of behavioral therapy (BT) and zolpidem as initial therapies for improving daytime functions among patients with insomnia and evaluate the added value of a second treatment for patients whose insomnia has not remitted. Design, Setting, and Participants In this sequential multiple-assignment randomized clinical trial conducted at institutions in Canada and the US, 211 adults with chronic insomnia disorder were enrolled between May 1, 2012, and December 31, 2015, and followed up for 12 months. Statistical analyses were performed on an intention-to-treat basis in April and October 2023. Interventions Participants were randomly assigned to either BT or zolpidem as first-stage therapy, and those whose insomnia had not remitted received a second-stage psychological therapy (BT or cognitive therapy) or medication therapy (zolpidem or trazodone). Main Outcomes and Measures Study outcomes were daytime symptoms of insomnia, including mood disturbances, fatigue, functional impairments of insomnia, and scores on the 36-item Short-Form Health Survey (SF-36) physical and mental health components. Results Among 211 adults with insomnia (132 women [63%]; mean [SD] age, 45.6 [14.9] years), 104 were allocated to BT and 107 to zolpidem at the first stage. First-stage treatment with BT or zolpidem yielded significant and equivalent benefits for most of the daytime outcomes, including depressive symptoms (Beck Depression Inventory-II mean score change, -3.5 [95% CI, -4.7 to -2.3] vs -4.3 [95% CI, -5.7 to -2.9]), fatigue (Multidimensional Fatigue Inventory mean score change, -4.7 [95% CI, -7.3 to -2.2] vs -5.2 [95% CI, -7.9 to -2.5]), functional impairments (Work and Social Adjustment Scale mean score change, -5.0 [95% CI, -6.7 to -3.3] vs -5.1 [95% CI, -7.2 to -2.9]), and mental health (SF-36 mental health subscale mean score change, 3.5 [95% CI, 1.9-5.1] vs 2.5 [95% CI, 0.4-4.5]), while BT produced larger improvements for anxiety symptoms relative to zolpidem (State-Trait Anxiety Inventory mean score change, -4.1 [95% CI, -5.8 to -2.4] vs -1.2 [95% CI, -3.0 to 0.5]; P = .02; Cohen d = 0.55). Second-stage therapy produced additional improvements for the 2 conditions starting with zolpidem at posttreatment in fatigue (Multidimensional Fatigue Inventory mean score change: zolpidem plus BT, -3.8 [95% CI, -7.1 to -0.4]; zolpidem plus trazodone, -3.7 [95% CI, -6.3 to -1.1]), functional impairments (Work and Social Adjustment Scale mean score change: zolpidem plus BT, -3.7 [95% CI, -6.4 to -1.0]; zolpidem plus trazodone, -3.3 [95% CI, -5.9 to -0.7]) and mental health (SF-36 mental health subscale mean score change: zolpidem plus BT, 5.3 [95% CI, 2.7-7.9]; zolpidem plus trazodone, 2.0 [95% CI, 0.1-4.0]). Treatment benefits achieved at posttreatment were well maintained throughout the 12-month follow-up, and additional improvements were noted for patients receiving the BT treatment sequences. Conclusions and Relevance In this randomized clinical trial of adults with insomnia disorder, BT and zolpidem produced improvements for various daytime symptoms of insomnia that were no different between treatments. Adding a second treatment offered an added value with further improvements of daytime functions. Trial Registration ClinicalTrials.gov Identifier: NCT01651442.
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Affiliation(s)
- Charles M. Morin
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | - Si-Jing Chen
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hans Ivers
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | - Simon Beaulieu-Bonneau
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | - Andrew D. Krystal
- Department of Psychiatry and Behavioral Services, University of California, San Francisco
| | - Bernard Guay
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | - Lynda Bélanger
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | | | | | - Manon Lamy
- Centre de Recherche CERVO/Brain Research Center, École de Psychologie, Université Laval, Quebec City, Quebec, Canada
| | | | - Jack D. Edinger
- National Jewish Health, Denver, Colorado
- Duke University Medical Center, Durham, North Carolina
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Guo Y, Chen Y, Shao Y, Hu S, Zou G, Chen J, Li Y, Gao X, Liu J, Yao P, Zhou S, Xu J, Gao JH, Zou Q, Sun H. Thalamic network under wakefulness after sleep onset and its coupling with daytime fatigue in insomnia disorder: An EEG-fMRI study. J Affect Disord 2023; 334:92-99. [PMID: 37149048 DOI: 10.1016/j.jad.2023.04.100] [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: 02/12/2023] [Revised: 04/15/2023] [Accepted: 04/28/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Fatigue is the most common daytime impairment of insomnia disorder (ID). Thalamus is acknowledged as the key brain region closely associated with fatigue. However, the thalamus-based neurobiological mechanisms of fatigue in patients with ID remain unknown. METHODS Forty-two ID patients and twenty-eight well-matched healthy controls (HCs) underwent simultaneous electroencephalography--functional magnetic resonance imaging. We calculated the functional connectivity (FC) between the thalamic seed and each voxel across the whole brain in two conditions of wakefulness--after sleep onset (WASO) and before sleep onset. A linear mixed effect model was used to determine the condition effect of the thalamic FC. The correlation between daytime fatigue and the thalamic connectivity was explored. RESULTS After sleep onset, the connectivity with the bilateral thalamus was increased in the cerebellar and cortical regions. Compared with HCs, ID patients showed significantly lower FC between left thalamus and left cerebellum under the WASO condition. Furthermore, thalamic connectivity with cerebellum under the WASO condition was negatively correlated with Fatigue Severity Scale scores in the pooled sample. CONCLUSIONS These findings contribute to an emerging framework that reveals the link between insomnia-related daytime fatigue and the altered thalamic network after sleep onset, further highlighting the possibility that this neural pathway is a therapeutic target for meaningfully mitigating fatigue.
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Affiliation(s)
- Yupeng Guo
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yun Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yan Shao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Sifan Hu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Guangyuan Zou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Jie Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yuezhen Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China; Department of Neuropsychiatry, Behavioral Neurology and Sleep Center, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Xuejiao Gao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jiayi Liu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Ping Yao
- Department of Physiology, College of Basic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Shuqin Zhou
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China
| | - Jing Xu
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China; Laboratory of Applied Brain and Cognitive Sciences, College of International Business, Shanghai International Studies University, Shanghai, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China; McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Qihong Zou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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Parry BL, Meliska CJ, Sorenson DL, Martinez LF, Lopez AM, Dawes SE, Elliott JA, Hauger RL. Critically-timed sleep+light interventions differentially improve mood in pregnancy vs. postpartum depression by shifting melatonin rhythms. J Affect Disord 2023; 324:250-258. [PMID: 36586616 DOI: 10.1016/j.jad.2022.12.079] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 12/13/2022] [Accepted: 12/18/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Testing the hypothesis that combined wake + light therapy improves mood in pregnant vs. postpartum depressed participants (DP) by differentially altering melatonin and sleep timing. METHODS Initially 89 women, 37 pregnant (21 normal controls-NC; 16 DP) and 52 postpartum (27 NCs; 25 DP), were randomized to a parallel trial of a phase-delay intervention (PDI): 1-night of early-night wake therapy (sleep 3-7 am) + 6-weeks of evening bright white light (Litebook Advantage) for 60 min starting 90 min before bedtime, vs. a Phase-advance intervention (PAI): 1-night of late-night wake therapy (sleep 9 pm-1 am) + 6-weeks of morning bright white light for 60 min within 30 min of wake time. Blinded clinicians assessed mood weekly by structured interview, and participants completed subjective ratings, a Morningness-Eveningness questionnaire, actigraphy, and collected 2 overnight urine samples for 6-sulphatoxy melatonin (6-SMT). RESULTS In pregnant DP, mood improved more after the PDI vs. PAI (p = .016), whereas in postpartum DP, mood improved more after the PAI vs. PDI (p = .019). After wake therapy, 2 weeks of light treatment was as efficacious as 6 weeks (p > .05). In postpartum DP, PAI phase-advanced 6-SMT offset and acrophase (p < .05), which correlated positively with mood improvement magnitude (p = .003). LIMITATIONS Small N. CONCLUSIONS Mood improved more after 2 weeks of the PDI in pregnant DP, but more after 2 weeks of PAI in postpartum DP in which improvement magnitude correlated with 6-SMT phase-advance. Thus, critically-timed Sleep + Light Interventions provide safe, efficacious, rapid-acting, well-tolerated, at-home, non-pharmaceutical treatments for peripartum DP.
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Affiliation(s)
- Barbara L Parry
- Department of Psychiatry, University of California, San Diego, United States of America; The Center for Circadian Biology, United States of America.
| | - Charles J Meliska
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Diane L Sorenson
- Department of Psychiatry, University of California, San Diego, United States of America
| | - L Fernando Martinez
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Ana M Lopez
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Sharron E Dawes
- Department of Psychiatry, University of California, San Diego, United States of America
| | - Jeffrey A Elliott
- Department of Psychiatry, University of California, San Diego, United States of America; The Center for Circadian Biology, United States of America
| | - Richard L Hauger
- Department of Psychiatry, University of California, San Diego, United States of America; Center for Behavior Genetics of Aging, United States of America; Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare, System, United States of America
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Abstract
Cognitive behavioral therapy for insomnia (CBT-I) is the universally recommended treatment of choice for insomnia disorder based on its safety and posttreatment durability of benefit. However, CBT-I does not help all patients achieve remission. The second most evidence-based treatment, hypnotic pharmacotherapy (PCT), does not resolve perpetuating factors of insomnia, resulting in potential waning of benefit and dependence. This article presents a rationale that supports consideration of hypnotic augmentation of CBT-I (COMB), along with a review of select randomized controlled trials relevant to clinical decision-making.
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Chen L, Jia S, Li P, Shi Z, Li Y. Experiences and coping strategies of somatic symptoms in patients with depressive disorder: A qualitative study. Arch Psychiatr Nurs 2022; 38:6-13. [PMID: 35461645 DOI: 10.1016/j.apnu.2022.01.004] [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: 12/11/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Depressive disorder is the most prevalent mental illness and is characterised by the presence of mental and somatic symptoms, with the latter affecting 65.0% to 98.2% of patients with their general function and quality of life. PURPOSE The purpose of this study aimed to explore the experiences and coping strategies of somatic symptoms in Chinese patients with depressive disorder, and to gain new insight into the illness and the health care provided to patients. METHODS Semi-structured, in-depth interviews were conducted with 15 patients diagnosed with depressive disorder according to international classification of diseases 10th revision. The interviews were transcribed verbatim and the thematic analysis was adapted to the data. MAXQDA10 software was used to organise, encode, classify, induce, and extract themes. RESULTS Four major themes were extracted from the interviews: (1) descriptions of symptoms; (2) perceptions of the symptoms; (3) symptom disturbance; and (4) coping strategies of symptoms. Within the first theme, patients identified the following sub-themes: complex experiences of somatic symptoms, which were mainly in the neuromuscular system, circulatory respiratory system, gastrointestinal system and some symptoms without obvious systemic classification; difficulty in locating symptoms accurately; and being not consistent with examination results. The second theme included patient's inadequate understanding of somatic symptoms; and denial of the link between physical discomfort and depression. Disturbance of somatic symptoms embraced three sub-themes: (1) Uncertainty about somatic symptoms; (2) Struggling with daily life; (3) Impact on social activities; (4) feeling a decrease in family support. Lastly, coping strategies taken by patients in the face of various symptoms mainly included relying on drug treatment, avoiding stressors, diverting attention, and compromise or acceptance. CONCLUSIONS Patients with depressive disorder experience a variety of somatic symptoms that have a negative impact on social function and reduce their quality of life. Patients did not have an adequate understanding of their physical discomfort and lacked effective coping strategies for these somatic symptoms. Professional staff should pay more attention to patients' somatic symptoms and focus on targeted symptom management to facilitate patient recovery.
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Affiliation(s)
- Li Chen
- School of Nursing, Fudan University, No. 305, Feng Lin Road, Shanghai 200032, PR China
| | - Shoumei Jia
- School of Nursing, Fudan University, No. 305, Feng Lin Road, Shanghai 200032, PR China.
| | - Ping Li
- Putuo Mental Health Centre, Shanghai 200065, PR China
| | - Zhongying Shi
- Nursing Department, Shanghai Mental Health Centre, Shanghai 200032, PR China
| | - Yang Li
- School of Nursing, Fudan University, No. 305, Feng Lin Road, Shanghai 200032, PR China.
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Pal A, Joshi T, Basu A, Gupta R. Management of Chronic Insomnia Using Cognitive Behavior Therapy for Insomnia (CBT-I) During COVID-19 Pandemic: Does One Shoe Fit All? SLEEP AND VIGILANCE 2022; 6:51-60. [PMID: 35313659 PMCID: PMC8929256 DOI: 10.1007/s41782-022-00197-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/21/2022] [Accepted: 03/05/2022] [Indexed: 06/14/2023]
Abstract
Purpose Insomnia is a highly prevalent disorder that is seen across all age groups causing significant morbidity to the patients. Its prevalence has further risen during COVID-19 pandemic. It is widely acknowledged that untreated insomnia can lead to significant health risks and socio-occupational dysfunction. Methods A narrative review was conducted following focused search of databases. Results Available guidelines mention two different approaches for the management of insomnia-pharmacological and non-pharmacological. Non-pharmacological therapies like multicomponent cognitive behavior therapy for insomnia (CBT-I) have been advocated for the management of acute as well as chronic insomnia in the literature as it has been found efficacious and useful. Multiple variants of CBT-I, e.g., digitally delivered CBT-I, brief CBT-I have been tested during pandemic owing to closure of clinics. However, there are certain issues to be considered while choosing CBT-I as therapy. For example, like other forms of psychotherapies, is there a need for assessing the candidature of patient before administering CBT-I; is CBT-I free of adverse effects as commonly thought; is CBT-I more efficacious than hypnotics; and at last, how to manage cases that are not candidate for CBT-I. Conclusion This narrative review addresses the scientific robustness of evidence for issues related to adherence, efficacy and adverse effects of non-pharmacological therapies. Available literature suggests that data related to adherence and efficacy of CBT-I suffer from methodological shortcomings and careful selection of patient is important for the successful therapy. At the same time, attempts have been made to shed light to the areas where CBT-I can be helpful in the management of insomnia.
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Affiliation(s)
- Arghya Pal
- Department of Psychiatry, All India Institute of Medical Sciences, Raibareli, 229405 India
| | - Tanmay Joshi
- Department of Psychiatry, All India Institute of Medical Sciences, Rishikesh, 249203 India
| | - Aniruddha Basu
- Department of Psychiatry, All India Institute of Medical Sciences, Kalyani, 741245 India
| | - Ravi Gupta
- Department of Psychiatry and Division of Sleep Medicine, All India Institute of Medical Sciences, Rishikesh, 249203 India
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Chepke C, Jain R, Rosenberg R, Moline M, Yardley J, Pinner K, Kumar D, Perdomo C, Filippov G, Atkins N, Malhotra M. Improvement in fatigue and sleep measures with the dual orexin receptor antagonist lemborexant in adults with insomnia disorder. Postgrad Med 2022; 134:316-325. [DOI: 10.1080/00325481.2022.2049553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Craig Chepke
- Excel Psychiatric Associates, PA, Huntersville, NC, USA
| | - Rakesh Jain
- Texas Tech University School of Medicine – Permian Basin, Midland, TX, USA
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Chen F, Lin X, Pan Y, Zeng X, Zhang S, Hu H, Yu M, Wu J. Insomnia partially mediates the relationship between pathological personality traits and depression: a case-control study. PeerJ 2021; 9:e11061. [PMID: 33850653 PMCID: PMC8018246 DOI: 10.7717/peerj.11061] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 02/13/2021] [Indexed: 12/28/2022] Open
Abstract
Background and Objective Personality disorders are frequently associated with insomnia and depression, but little is known about the inter-relationships among these variables. Therefore, this study examined these inter-relationships and the possible mediating effect of insomnia on the association between specific personality pathologies and depression severity. Methods There were 138 study participants, including 69 individuals with depression and 69 healthy controls. The main variables were measured by the Hamilton Depression Rating Scale-24 (HAMD-24), Athens Sleep Insomnia Scale (AIS), and the Personality Diagnostic Questionnaire (PDQ-4+). Multivariate linear regression and mediation analysis were conducted. Results With the exception of the antisocial personality score, all the PDQ-4+ scores and AIS scores were significantly higher in the depression group than in the healthy control group (p < 0.001). In the total sample, all personality pathology scores (p < 0.001), except the antisocial personality score, had significant positive correlations with the AIS scores and HAMD-24 scores, and the AIS scores and HAMD-24 scores were positively correlated (r = 0.620, p < 0.001). Regression analysis revealed that borderline personality, passive-aggressive personality, and insomnia positively predicted the severity of depression, after adjusting for sociodemographic covariates, and that insomnia partially mediated the associations of borderline personality and passive-aggressive personality with depression severity. Conclusions Borderline personality, passive-aggressive personality, and insomnia tend to increase the severity of depression, and the effect of borderline and passive-aggressive personality on depression severity may be partially mediated by insomnia. This is the first study to report these findings in a Chinese sample, and they may help researchers to understand the pathways from specific personality pathologies to the psychopathology of depression better, which should be useful for designing interventions to relieve depression severity, as the impact of specific personality pathology and insomnia should be considered.
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Affiliation(s)
- Fenglan Chen
- Department of Psychology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Xiujin Lin
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuli Pan
- Department of Psychology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Xuan Zeng
- Department of Child Healthcare, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Shengjie Zhang
- Department of Psychology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Hong Hu
- Department of Psychology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Miaoyu Yu
- Department of Mental Health, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Junduan Wu
- Department of Psychology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
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Li YF, Liu DQ, Nie JY, Chen DD, Yan M, Zuo Z, Liu LX, Wang WY, Zhu MS, Li WH. ATAS Acupuncture Reduces Chemotherapy Induced Fatigue in Breast Cancer Through Regulating ADROA1 Expression: A Randomized Sham-Controlled Pilot Trial. Onco Targets Ther 2020; 13:11743-11754. [PMID: 33244238 PMCID: PMC7683828 DOI: 10.2147/ott.s272747] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 09/22/2020] [Indexed: 12/21/2022] Open
Abstract
Objective To investigate the feasibility and effectiveness of ATAS acupuncture (Acupoints-Time-Space Acupuncture) as a non-pharmacological intervention to prevent or relieve chemotherapy-induced fatigue in breast cancer patients undergoing taxane chemotherapy. Methods A pilot study in Kunming center with the aim of evaluating 40 patients randomized to 3 groups: ATAS, sham and non-acupuncture with an unequal randomization of 2:1:1. Participants with stage I–III breast cancer were scheduled to receive adjuvant EC4P4 chemotherapy. Participants in the ATAS and sham acupuncture arms received 20 sessions of acupuncture over 20 weeks, non-acupuncture arm received usual care. Evaluation scales, including VAS-F, MFI-20, HDAS, ISI, and blood samples were collected at four timepoints (T1-T4). mRNA sequencing was performed to detect the mechanism of acupuncture. Results A total of 581 sessions of acupuncture were performed on patients in the acupuncture group. There was no difference between the three groups in terms of clinical characteristics. Patients randomized to ATAS acupuncture had improved symptoms including fatigue, anxiety and insomnia during the whole process of chemotherapy compared with the other two groups. The VAS-F score of ATAS acupuncture group was decreased compared with non-acupuncture group (P=0.004). The score of MFI-20 in ATAS acupuncture group was kept at low level, while the other two groups’ scores kept climbing during chemotherapy (P=0.016; P=0.028, respectively). The mechanism of ATAS acupuncture which reduced fatigue and depression may be related to ADROA1, by regulating cGMP/PKG pathway. Conclusion This pilot study has demonstrated that ATAS acupuncture can significantly reduce fatigue induced by chemotherapy. Trial Registration Chinese Clinical Trials Registry, ChiCTR-IPR-17,013,652, registered Dec 3, 2017. http://www.chictr.org.cn/. Protocol Version Version 3.2 dated from 2018/04/20.
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Affiliation(s)
- Yun-Fen Li
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
| | - De-Quan Liu
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
| | - Jian-Yun Nie
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
| | - De-Dian Chen
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
| | - Mei Yan
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
| | - Zhen Zuo
- Yunnan University of Traditional Chinese Medicine, College of Acupuncture, Kunming, People's Republic of China
| | - Liang-Xian Liu
- Kunming Hospital of Traditional Chinese Medicine/The Third Affiliated Hospital of Yunnan University Traditional Chinese Medicine, Acupuncture Department, Kunming, People's Republic of China
| | - Wei-Yu Wang
- Servbus Technology (Beijing) Co., Ltd., Technical Service Department, Beijing, People's Republic of China
| | - Mian-Sheng Zhu
- Yunnan University of Traditional Chinese Medicine, College of Acupuncture, Kunming, People's Republic of China.,ARIATAS, Association Pour la Recherche et l'Information de l'Acupuncture Time-Acupoints-Space, College of Acupuncture, Paris, France
| | - Wen-Hui Li
- The Third Affiliated Hospital of Kunming Medical University/Yunnan Cancer Hospital, Breast Cancer Surgery Department, Kunming, People's Republic of China
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Suraev A, Grunstein RR, Marshall NS, D'Rozario AL, Gordon CJ, Bartlett DJ, Wong K, Yee BJ, Vandrey R, Irwin C, Arnold JC, McGregor IS, Hoyos CM. Cannabidiol (CBD) and Δ 9-tetrahydrocannabinol (THC) for chronic insomnia disorder ('CANSLEEP' trial): protocol for a randomised, placebo-controlled, double-blinded, proof-of-concept trial. BMJ Open 2020; 10:e034421. [PMID: 32430450 PMCID: PMC7239553 DOI: 10.1136/bmjopen-2019-034421] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 01/06/2020] [Accepted: 03/11/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Insomnia is a highly prevalent and costly condition that is associated with increased health risks and healthcare utilisation. Anecdotally, cannabis use is frequently reported by consumers to promote sleep. However, there is limited research on the effects of cannabis on sleep and daytime function in people with insomnia disorder using objective measures. This proof-of-concept study will evaluate the effects of a single dose of an oral cannabis-based medicine on sleep and daytime function in participants with chronic insomnia disorder. METHODS AND ANALYSIS A randomised, crossover, placebo-controlled, single-dose study design will be used to test the safety and efficacy of an oral oil solution ('ETC120') containing 10 mg Δ9-tetrahydrocannabinol (THC) and 200 mg cannabidiol (CBD) in 20 participants diagnosed with chronic insomnia disorder. Participants aged 35-60 years will be recruited over an 18-month period commencing August 2019. Each participant will receive both the active drug and matched placebo, in a counterbalanced order, during two overnight study assessment visits, with at least a 1-week washout period between each visit. The primary outcomes are total sleep time and wake after sleep onset assessed via polysomnography. In addition, 256-channel high-density electroencephalography and source modelling using structural brain MRI will be used to comprehensively examine brain activation during sleep and wake periods on ETC120 versus placebo. Next-day cognitive function, alertness and simulated driving performance will also be investigated. ETHICS AND DISSEMINATION Ethics approval was received from Bellberry Human Research Ethics Committee (2018-04-284). The findings will be disseminated in a peer-reviewed open-access journal and at academic conferences. TRIAL REGISTRATION NUMBER ANZCTRN12619000714189.
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Affiliation(s)
- Anastasia Suraev
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- The University of Sydney, Lambert Initiative for Cannabinoid Therapeutics, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
| | - Ronald R Grunstein
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- RPA-Charles Perkins Centre, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Nathaniel S Marshall
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Sydney, New South Wales, Australia
| | - Angela L D'Rozario
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
| | - Christopher J Gordon
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Sydney, New South Wales, Australia
| | - Delwyn J Bartlett
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
| | - Keith Wong
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- RPA-Charles Perkins Centre, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Brendon J Yee
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- RPA-Charles Perkins Centre, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Ryan Vandrey
- Behavioral Pharmacology Research Unit, Johns Hopkins University, Baltimore, Maryland, USA
| | - Chris Irwin
- Menzies Health Institute Queensland, School Allied Health Sciences, Griffith University, Gold Coast, Queensland, Australia
| | - Jonathon C Arnold
- The University of Sydney, Lambert Initiative for Cannabinoid Therapeutics, Sydney, New South Wales, Australia
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Medicine and Health, Discipline of Pharmacology, Sydney, New South Wales, Australia
| | - Iain S McGregor
- The University of Sydney, Lambert Initiative for Cannabinoid Therapeutics, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
| | - Camilla M Hoyos
- Woolcock Institute of Medical Research, Centre for Sleep and Chronobiology, Sydney, New South Wales, Australia
- The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia
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Psychosocial intervention for discontinuing benzodiazepine hypnotics in patients with chronic insomnia: A systematic review and meta-analysis. Sleep Med Rev 2019; 48:101214. [DOI: 10.1016/j.smrv.2019.101214] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 09/04/2019] [Accepted: 09/09/2019] [Indexed: 12/22/2022]
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