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Wei J, Song M, Mao HJ, Qi R, Yang L, Xu Y, Yan P, Hu L. Analysis of the Improvement Sequence in Insomnia Symptoms and Factors Influencing the Treatment Outcomes of Smartphone-Delivered CBT in Patients with Insomnia Disorder. Nat Sci Sleep 2024; 16:1365-1376. [PMID: 39290809 PMCID: PMC11407310 DOI: 10.2147/nss.s486288] [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: 07/24/2024] [Accepted: 09/10/2024] [Indexed: 09/19/2024] Open
Abstract
Background The effectiveness of medication combined with smartphone-delivered cognitive behavioral therapy for insomnia (CBT-I) has been well verified, but there are few studies on the sequence of remission of insomnia symptoms. This study aims to understand the sequence of symptom improvement and the factors influencing the treatment effectiveness in patients with insomnia. Methods Smartphone-delivered CBT, as a form of Online CBT, allows for training through mobile devices at any time and place. We utilized the Good Sleep 365 app to conduct a survey, involving 2820 patients who met the baseline inclusion criteria. These patients were assessed using a general demographic questionnaire and the Pittsburgh Sleep Quality Index (PSQI) to evaluate general demographic information and insomnia symptoms, and subsequently underwent CBT training using the Good Sleep 365 app. A total of 1179 patients completed follow-ups at 4 weeks, 8 weeks, 16 weeks, and 24 weeks. Results At 4 weeks and 8 weeks, the descending order of the reduction rates of PSQI components (excluding component 6: use of sleeping medication) was: sleep latency, subjective sleep quality, sleep efficiency, sleep disturbance, sleep maintenance, and daytime dysfunction. At 16 weeks and 24 weeks, the descending order was subjective sleep quality, sleep latency, sleep efficiency, daytime dysfunction, sleep maintenance, and sleep disturbance. There were significant differences in the reduction rates of PSQI components (excluding component 6: use of sleeping medication) both at the same follow-up times and at different follow-up times (all P<0.05). Multivariable logistic regression analysis showed that patients older than 30 years and those with a college degree or above had better treatment outcomes, whereas those with a disease duration of more than three years had worse outcomes. Conclusion The sequence of symptom improvement in patients with insomnia changes over time, and age, educational level, and duration of disease are factors influencing treatment outcomes.
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Affiliation(s)
- Jia Wei
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Mingfen Song
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Hong Jing Mao
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Ruobing Qi
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Lili Yang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - You Xu
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Pan Yan
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Linlin Hu
- Sleep Medicine Center, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310013, People's Republic of China
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Chen Q, Ji H, Shang Q. The association between the diversity of online activities on smartphones and cognitive function among middle-aged and elderly Chinese adults. BMC Public Health 2024; 24:547. [PMID: 38383336 PMCID: PMC10882890 DOI: 10.1186/s12889-024-17932-0] [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: 07/02/2023] [Accepted: 01/30/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Many studies have shown that using smartphones can improve cognitive function, but no studies have shown the effect of the diversity of online activities on cognitive function. Therefore, this study explores the association between the diversity of online activity on smartphones and cognitive function among middle-aged and elderly Chinese adults. METHODS A total of 13,347 Chinese middle-aged and elderly participants were used in the final analysis. Multivariate linear regression models were used to explore the relationships among the frequency of smartphone use, number of online activities, various activities, and cognitive function. RESULTS We found that 2,143 respondents (16.1%) used smartphones, and the top three online activities were watching news (80.3%), posting moments (72.4%), and chatting (68.0%) among all smartphone users to access the internet. After adjusting for all covariates, we found that the increase in the frequency of smartphone use and the number of online activities were correlated with a higher cognitive score. Moreover, some online activities, such as watching news (β:0.5, 95% CI:0.2-0.8), posting moments (β:0.4, 95% CI:0.2-0.7) playing games (β:0.3, 95% CI:0.03-0.6) and making mobile payments (β:0.3, 95% CI:0.1-0.5) were independently associated with good cognitive function. DISCUSSION In the middle-aged and elderly population, smartphone use plays an important role in cognitive function. Considering the increasing prevalence of smartphones among middle-aged and elderly individuals, this study can provide references and insights for health education and in-depth scientific research related to internet usage.
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Affiliation(s)
- Qian Chen
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, 250300, Jinan, Shandong Province, China
| | - Haoqiang Ji
- School of Public Health, Shandong University, 250012, Jinan, Shandong Province, China.
- Shandong University, 44 West Wenhua Road, Lixia District, Jinan City, Shandong Province, China.
| | - Qingxin Shang
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, 250300, Jinan, Shandong Province, China.
- Shandong University of Traditional Chinese Medicine, 4655 Daxue Road, Changqing District, Jinan City, Shandong Province, China.
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Wong VWH, Tong JTY, Shi NK, Ng CH, Sarris J, Ho FYY. Smartphone-delivered multicomponent lifestyle medicine intervention for improving mental health in a nonclinical population: a randomized controlled trial. Front Public Health 2024; 11:1231981. [PMID: 38292386 PMCID: PMC10824847 DOI: 10.3389/fpubh.2023.1231981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 12/18/2023] [Indexed: 02/01/2024] Open
Abstract
Objective To prevent the exacerbation of mental health burdens, a growing body of research has recommended a balanced approach that emphasizes both the delivery of mental health treatments to individuals with common mental disorders (CMDs) and the strengthening of protective factors for CMDs among nonclinical populations. This randomized controlled trial (RCT) evaluated the efficacy of a smartphone-delivered multicomponent lifestyle medicine (LM) intervention, Lifestyle Hub, for improving mental health among a nonclinical population of Chinese adults. Methods A total of 106 participants with Patient Health Questionnaire-9 total score < 10 and Generalized Anxiety Disorder 7-Item Scale <8 were randomly assigned to either the Lifestyle Hub intervention group (LH, n = 53) or the waitlist control group (WL, n = 53). Lifestyle Hub is an 8-week smartphone-delivered multicomponent LM intervention developed based on the transtheoretical model. The intervention components included lifestyle psychoeducation, physical activity, diet and nutrition, stress management, sleep management, and motivation and goal-setting techniques. Assessments were conducted at baseline, immediate post-intervention, and 1-month follow-up (LH only). Results The linear mixed effect model based on the intention-to-treat principle indicated that Lifestyle Hub significantly improved overall mental health, depressive symptoms, anxiety symptoms, stress, insomnia severity, overall health-promoting behaviors, dietary quality, and stress management compared to the WL group at immediate post-intervention (d = 0.13-0.56). No significant between-group differences were observed in terms of functional impairment, health-related quality of life, health responsibility, physical activity level, spiritual growth, and interpersonal relations. The intervention gains in the LH group were maintained at 1-month follow-up. The LH participants indicated that Lifestyle Hub was an acceptable intervention for improving mental health, although a significantly higher level of study attrition was observed in the LH group (20.8%) relative to the WL group (5.7%). Conclusion Lifestyle Hub may serve as an efficacious and acceptable intervention for improving mental health in nonclinical adult populations. To extend the benefits of LM interventions at the population level, future studies are warranted to examine a stepped-care approach to delivering LM interventions.Trial registration: This randomized controlled trial was pre-registered with ClinicalTrials.gov (NCT04295369).
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Affiliation(s)
- Vincent Wing-Hei Wong
- Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Jessica Tsz-Yan Tong
- Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Nga-Kwan Shi
- Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Chee H. Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent’s Hospital, University of Melbourne, Richmond, VIC, Australia
| | - Jerome Sarris
- Department of Psychiatry, Professorial Unit, The Melbourne Clinic, The University of Melbourne, Melbourne, VIC, Australia
- Western Sydney University, NICM Health Research Institute, Westmead, NSW, Australia
| | - Fiona Yan-Yee Ho
- Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong, China
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Sun A, Wu X. Efficacy of non-pharmacological interventions on improving sleep quality in depressed patients: A systematic review and network meta-analysis. J Psychosom Res 2023; 172:111435. [PMID: 37451171 DOI: 10.1016/j.jpsychores.2023.111435] [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: 03/20/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE Depression and sleep are closely related and tend to affect each other. To improve the sleep quality in depressed patients and the depression severity, there is an urgent need to find safer and more effective treatments - non-pharmacological interventions. This network meta-analysis aimed to investigate the effects of non-pharmacological interventions on improving sleep quality of patients with depression. METHODS All published literature were searched from four databases (Pubmed, Embase, Cochrane, Web of Science) as of November 2022. The risk of bias of the included studies was assessed using the Cochrane Systematic Review Manual 2.0 bias risk assessment tool. The primary outcome was sleep quality and, the secondary outcome was depression severity. RESULTS This study included 26 randomized controlled trials, involving 11 interventions and 3748 depressed patients. Cognitive-behavioral therapy (CBT) (SMD: 2.80; 95% CI: 1.63,3.96), aromatherapy (SMD: 3.95; 95% CI: 0.71,7.19), and acupuncture (SMD:3.49; 95% CI: 0.88,6.10) statistically and significantly improved sleep quality, compared to education only. CBT and acupuncture both were significantly more effective than education in depression severity. The cluster analysis showed that acupuncture, exercise, and cognitive-behavioral therapy were considered to be more effective non-pharmacological interventions. CONCLUSION Non-pharmacological interventions are promising in the daily care of depressed patients. In future research, we should value the need for psychological and social aspects of psychiatric care and make better use of nonpharmacological interventions through the biopsychosocial model. (PROSPERO registration number: CRD42023402316).
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Affiliation(s)
- Aiwen Sun
- Centre for Mental Health Education, Zhujiang College, South China Agricultural University, No. 2004, Guangcong North Road, Jiangpu Street, Conghua District, Guangzhou, China.
| | - Xia Wu
- The Fourth Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, No.1 Fuhua Road, Futian District, Shenzhen, China
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Chan CS, Wong CYF, Yu BYM, Hui VKY, Ho FYY, Cuijpers P. Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial. Psychol Med 2023; 53:1799-1813. [PMID: 37310329 DOI: 10.1017/s0033291721003421] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Despite its efficacy in treating comorbid insomnia and depression, cognitive behavioral therapy for insomnia (CBT-I) is limited in its accessibility and, in many countries, cultural compatibility. Smartphone-based treatment is a low-cost, convenient alternative modality. This study evaluated a self-help smartphone-based CBT-I in alleviating major depression and insomnia. METHODS A parallel-group randomized, waitlist-controlled trial was conducted with 320 adults with major depression and insomnia. Participants were randomized to receive either a 6-week CBT-I via a smartphone application, proACT-S, or waitlist condition. The primary outcomes included depression severity, insomnia severity, and sleep quality. The secondary outcomes included anxiety severity, subjective health, and acceptability of treatment. Assessments were administered at baseline, post-intervention (week 6) follow-up, and week 12 follow-up. The waitlist group received treatment after the week 6 follow-up. RESULTS Intention to treat analysis was conducted with multilevel modeling. In all but one model, the interaction between treatment condition and time at week 6 follow-up was significant. Compared with the waitlist group, the treatment group had lower levels of depression [Center for Epidemiologic Studies Depression Scale (CES-D): Cohen's d = 0.86, 95% CI (-10.11 to -5.37)], insomnia [Insomnia Severity Index (ISI): Cohen's d = 1.00, 95% CI (-5.93 to -3.53)], and anxiety [Hospital Anxiety and Depression Scale - Anxiety subscale (HADS-A): Cohen's d = 0.83, 95% CI (-3.75 to -1.96)]. They also had better sleep quality [Pittsburgh Sleep Quality Index (PSQI): Cohen's d = 0.91, 95% CI (-3.34 to -1.83)]. No differences across any measures were found at week 12, after the waitlist control group received the treatment. CONCLUSION proACT-S is an efficacious sleep-focused self-help treatment for major depression and insomnia. TRIAL REGISTRATION ClinicalTrials.gov, NCT04228146. Retrospectively registered on 14 January 2020. http://www.w3.org/1999/xlink">https://clinicaltrials.gov/ct2/show/NCT04228146.
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Affiliation(s)
| | | | | | | | | | - Pim Cuijpers
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Serafini G, Costanza A, Aguglia A, Amerio A, Placenti V, Magnani L, Escelsior A, Sher L, Amore M. Overall goal of Cognitive-Behavioral Therapy in Major Psychiatric Disorders and Suicidality: A Narrative Review. Med Clin North Am 2023; 107:143-167. [PMID: 36402496 DOI: 10.1016/j.mcna.2022.05.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Cognitive-behavioral therapy (CBT) is a form of psychological treatment that is based on the underlying assumption that mental disorders and psychological distress are maintained by cognitive factors, that is, that general beliefs about the world, the self, and the future contribute to the maintenance of emotional distress and behavioral problems. The overall goal of CBT is to replace dysfunctional constructs with more flexible and adaptive cognitions. The most relevant cognitive-behavioral techniques in clinical practice are: i. Cognitive Restructuring (also known as the ABCDE method) is indicated to support patients dealing with negative beliefs or thoughts. The different steps in the cognitive restructuring process are summarized by the letters in the ABCDE acronym that describe the different stages of this coaching model: Activating event or situation associated with the negative thoughts, Beliefs and belief structures held by the individual that explain how they perceive the world which can facilitate negative thoughts, Consequences or feelings related to the activating event, Disputation of beliefs to allow individuals to challenge their belief system, and Effective new approach or effort to deal with the problem by facilitating individuals to replace unhelpful beliefs with more helpful ones. ii. Problem-Solving (also known as SOLVE) to raise awareness for specific triggers, and evaluate and choose more effective options. Each letter of the SOLVE acronym identifies different steps of the problem-solving process: Select a problem, generate Options, rate the Likely outcome of each option, choose the Very best option, and Evaluate how well each option worked. For example, a suicide attempt is reconceptualized as a failure in problem-solving. This treatment approach attempts to provide patients with a better sense of control over future emerging problems. iii. Re-attribution is a technique that enables patients to replace negative self-statements (eg, "it is all my fault") with different statements where responsibility is attributed more appropriately. Furthermore, decatastrophizing may help subjects, especially adolescents decide whether they may be overestimating the catastrophic nature of the precipitating event, and by allowing them to scale the event severity they learn to evaluate situations along a continuum rather than seeing them in black and white. iv. Affect Regulation techniques are often used with suicidal adolescents to teach them how to recognize stimuli that provoke negative emotions and how to mitigate the resulting emotional arousal through self-talk and relaxation.
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Affiliation(s)
- Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy.
| | - Alessandra Costanza
- Department of Psychiatry, Faculty of Medicine, University of Geneva (UNIGE), Geneva, Switzerland
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Valeria Placenti
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Luca Magnani
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Andrea Escelsior
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
| | - Leo Sher
- James J. Peters Veterans' Administration Medical Center, Bronx, NY, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, Genoa 16132, Italy
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