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Simoncini G, Borghesi F, Cipresso P. Linking Affect Dynamics and Well-Being: A Novel Methodological Approach for Mental Health. Healthcare (Basel) 2024; 12:1690. [PMID: 39273715 PMCID: PMC11395663 DOI: 10.3390/healthcare12171690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/17/2024] [Accepted: 08/22/2024] [Indexed: 09/15/2024] Open
Abstract
Emotions are dynamic processes; their variability relates to psychological well-being and psychopathology. Affective alterations have been linked to mental diseases like depression, although little is known about how similar patterns occur in healthy individuals. This study investigates the psychophysiological correlations of emotional processing in healthy subjects, specifically exploring the relationship between depressive traits, cognitive distortions, and facial electromyographic (f-EMG) responses during affective transitions. A cohort of 44 healthy participants underwent f-EMG recording while viewing emotional images from the International Affective Picture System (IAPS). Self-report measures included the Beck Depression Inventory (BDI) and the Cognitive Distortion Scale (CDS). Higher BDI scores were associated with increased EMG activity in the corrugator muscle during transitions between positive and negative emotional states. Cognitive distortions such as Catastrophizing, All-or-Nothing Thinking, and Minimization showed significant positive correlations with EMG activity, indicating that individuals with higher levels of these distortions experienced greater facial muscle activation during emotional transitions. This study's results indicate that there is a bidirectional correlation between depressed features and cognitive distortions and alterations in facial emotional processing, even in healthy subjects. Facial EMG in the context of dynamic affective transitions has the potential to be used as a non-invasive method for detecting abnormal emotional reactions at an early stage. This might help in identifying individuals who are at risk of developing depression and guide therapies to prevent its advancement.
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Affiliation(s)
- Gloria Simoncini
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | | | - Pietro Cipresso
- Department of Psychology, University of Turin, 10124 Turin, Italy
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Socada JL, Söderholm JJ, Rosenström T, Lahti J, Ekelund J, Isometsä ET. Affect dimensions and variability during major depressive episodes: Ecological momentary assessment of unipolar, bipolar, and borderline patients and healthy controls. J Psychiatr Res 2024; 170:408-416. [PMID: 38218014 DOI: 10.1016/j.jpsychires.2024.01.010] [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: 08/10/2023] [Revised: 12/21/2023] [Accepted: 01/05/2024] [Indexed: 01/15/2024]
Abstract
Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings). Explorative factor analysis resulted in two affect dimensions. The positive dimension included active, excited, cheerful (high arousal), and content (low arousal) affects, and the negative dimension irritated, angry, and nervous (high arousal) affects. Relative to HC, patients reported 3.5-fold negative affects (mean MDD 1.36 (SD 0.92), MDE/BD 1.43 (0.76), MDE/BPD 1.81 (0.95) vs. HC 0.44 (0.49) (p < 0.01)) but 0.5-fold positive affects (2.01 (0.90), 1.95 (0.89), 2.24 (1.03), vs. 3.2 (0.95), respectively (p < 0.01)). We used multilevel modelling. Negative-affect within-individual stability was lowest in MDE/BPD and highest in MDD. Negative affect predicted concurrent positive affect more in MDE/BPD than in MDD. Moderate size of subcohorts and no inpatients were limitations. Despite apparently similar MDEs, affective experiences may differ between BPD, BD, and MDD patients. Clinical subgroups of patients with depression may vary in affective instability and concurrent presence of negative and positive affects during depression.
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Affiliation(s)
- J Lumikukka Socada
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - John J Söderholm
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tom Rosenström
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Folkhälsan Research Centre, Helsinki, Finland
| | - Jesper Ekelund
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Erkki T Isometsä
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
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Yang M, Schick MR, Sullivan TP, Weiss NH. Predicting Completion of Ecological Momentary Assessments Among Substance-Using Women Experiencing Intimate Partner Violence. Assessment 2024:10731911231216948. [PMID: 38174693 DOI: 10.1177/10731911231216948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Noncompletion of ecological momentary assessment (EMA) surveys is a common issue and may yield bias in results if not properly handled. Using data observed at scheduled times as well as data retrieved later to fill missing responses, this study aims to investigate predictors of EMA completion, including demographic characteristics, time-related factors, and momentary experiences/behaviors. Data were from a 30-day EMA study including 145 women currently experiencing intimate partner violence (IPV) and using substances. The average rate of EMA completion was initially 51.4% at the scheduled times and increased to 72.6% after incorporating data from later-retrieved surveys. Participants who were younger, had more children, or had lower mean levels of negative affect dysregulation showed lower completion rates. At the momentary survey level, more days into the study and afternoon/evening reports (vs. morning reports) were associated with lower completion; lower levels of negative affect dysregulation, less smoking or alcohol use, and experiencing IPV were linked to lower momentary completion. Implications of the results for handling missing data in EMA are discussed and have important ramifications for future research, practice, and theory.
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Jung D, Choi J, Park S, Choi KH. Improving older adults' autobiographical memory through video-conferencing intervention during COVID-19. Int J Geriatr Psychiatry 2023; 38:e5973. [PMID: 37526311 DOI: 10.1002/gps.5973] [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: 04/04/2023] [Accepted: 07/11/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Autobiographical memory (AM) is valuable not only as an indicator of mental health and cognitive function, but also as a target of therapeutic intervention for older adults. In the context of the COVID-19 pandemic, the demand for online psychosocial interventions and assessment services has sharply increased. Thus, the present study examined the effectiveness of videoconferencing AM (vAM) intervention using the Ecological Momentary Assessment (EMA) method in addition to the traditional paper-and-pencil assessment among samples of community dwelling older adults. METHODS Twenty-seven older adults (aged 66-86 years) participated in a vAM intervention composed of 4 weekly 90-min sessions. The primary outcome was AM specificity, with secondary outcomes as depressive symptom and cognitive function, measured before and after the intervention. In addition, daily emotions were measured through EMA over 4 weeks of intervention. The EMA data were analyzed using a multilevel analysis. RESULTS The results showed low dropout rates (7%) and high EMA response rates (85%). Autobiographical memory specificity increased (Cohen's d = 0.678), and the level of depression declined significantly (Cohen's d = 0.375) after the program. Additionally, measures assessing cognitive function, such as Seoul Verbal Learning Test and DSC (Digit Symbol Coding), showed significant improvements. The EMA results indicated a decrease in the intensity and proportion of negative emotions experienced during the program. CONCLUSIONS This study is the first to utilize videoconferencing and EMA to deliver an AM intervention targeting older adults. The intervention was effective in improving mental health and cognitive function, including AM in older adults. Additionally, EMA was found to be a feasible tool for use in older adults.
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Affiliation(s)
- Dawoon Jung
- School of Psychology, Korea University, Seoul, Republic of Korea
| | - Juhee Choi
- School of Psychology, Korea University, Seoul, Republic of Korea
| | - Soohyun Park
- School of Psychology, Korea University, Seoul, Republic of Korea
| | - Kee-Hong Choi
- School of Psychology, Korea University, Seoul, Republic of Korea
- KU Mind Health Institute, Korea University, Seoul, Republic of Korea
- Mindeep Cognitive Behavioral Therapy (CBT) Center, Seoul, Republic of Korea
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Yavorsky C, Ballard E, Opler M, Sedway J, Targum SD, Lenderking W. Recommendations for selection and adaptation of rating scales for clinical studies of rapid-acting antidepressants. Front Psychiatry 2023; 14:1135828. [PMID: 37333908 PMCID: PMC10272853 DOI: 10.3389/fpsyt.2023.1135828] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 05/02/2023] [Indexed: 06/20/2023] Open
Abstract
The novel mechanisms of action (MOA) derived from some recently introduced molecular targets have led to regulatory approvals for rapid acting antidepressants (RAADs) that can generate responses within hours or days, rather than weeks or months. These novel targets include the N-methyl-D-glutamate receptor antagonist ketamine, along with its enantiomers and various derivatives, and the allosteric modulators of gamma-aminobutyric acid (GABA) receptors. There has also been a strong resurgence in interest in psychedelic compounds that impact a range of receptor sites including D1, 5-HT7, KOR, 5-HT5A, Sigma-1, NMDA, and BDNF. The RAADs developed from these novel targets have enabled successful treatment for difficult to treat depressed individuals and has generated a new wave of innovation in research and treatment. Despite the advances in the neurobiology and clinical treatment of mood disorders, we are still using rating instruments that were created decades ago for drugs from a different era (e.g., The Hamilton and Montgomery-Åsberg depression rating scales, HDRS, and MADRS) continue to be used. These rating instruments were designed to assess mood symptoms over a 7-day time frame. Consequently, the use of these rating instruments often requires modifications to address items that cannot be assessed in short time frames, such as the sleep and appetite items. This review describes the adaptative approaches that have been made with the existing scales to meet this need and examines additional domains such as daily activities, side effects, suicidal ideation and behavior, and role functioning. Recommendations for future studies are described, including the challenges related to implementation of these adapted measures and approaches to mitigation.
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Affiliation(s)
| | | | - Mark Opler
- WIRB Copernicus Group (WCG) Clinical Endpoint Solutions, Princeton, NJ, United States
| | - Jan Sedway
- WIRB Copernicus Group (WCG) Clinical Endpoint Solutions, Princeton, NJ, United States
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von Klipstein L, Servaas MN, Schoevers RA, van der Veen DC, Riese H. Integrating personalized experience sampling in psychotherapy: A case illustration of the Therap-i module. Heliyon 2023; 9:e14507. [PMID: 36967959 PMCID: PMC10036928 DOI: 10.1016/j.heliyon.2023.e14507] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Background The experience sampling methodology (ESM) is increasingly being suggested as a clinical tool in mental health care, as it offers ecologically valid, microlevel information on psychopathological processes. Patients and clinicians have recommended that applications of ESM should be personalized and integrated into the existing clinical process, but there is still much uncertainty about how implementation may look like. Objective To provide an example of personalized ESM assessment and feedback being integrated into psychotherapy for depression, specifically looking at the collaborative use of ESM in case conceptualization. Methods George, a 27-year-old man diagnosed with depression, and his therapist participated in the Therap-i randomized controlled trial, which investigates the efficacy of a personalized ESM module added to psychotherapy. Together, they created a personalized ESM questionnaire, aiming to capture their hypotheses and questions regarding George's case conceptualization. George then filled out his ESM questionnaire five times per day, for 8 weeks. During this period, ESM data were discussed and interpreted by George, his therapist, and a researcher, in three feedback sessions. In these sessions, data were visualized in a flexible feedback interface that allowed for collaborative exploration of George's data. Both patient and therapist evaluated the module through questionnaires and George also participated in a semi-structured evaluation interview. Results George's ESM questionnaire included personalized items on the topics of self-esteem and open versus withdrawn behavior. He completed 241 (89.3%) assessments. Discussions during the feedback sessions focused on two core themes: First, George's low energy level, which was further explored with regard to his sleep, medication, and activity patterns. Second, his low sense of self-esteem, which led to an in-depth exploration of his thinking patterns and social interactions. The ESM module was seen as useful and insightful by both George and therapist. Conclusions This case shows how ESM and ESM-based feedback can stimulate the collaborative exploration of the patient's complaints, and how it can provide useful insights for treatment. We discuss how our personalized ESM module relates to current clinical principles and practices, and make suggestions for further implementation.
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Affiliation(s)
- Lino von Klipstein
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
| | - Michelle N. Servaas
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
| | - Robert A. Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
| | - Date C. van der Veen
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
| | - Harriëtte Riese
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
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Engelke M, Simões J, Vogel C, Schoisswohl S, Schecklmann M, Wölflick S, Pryss R, Probst T, Langguth B, Schlee W. Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment. PLOS DIGITAL HEALTH 2023; 2:e0000183. [PMID: 36812641 PMCID: PMC9931272 DOI: 10.1371/journal.pdig.0000183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/13/2022] [Indexed: 01/20/2023]
Abstract
Tinnitus affects a considerable part of the population and develops into a severe disorder in some sufferers. App-based interventions are able to provide low-threshold, cost-effective, and location-independent care for tinnitus patients. Therefore, we developed a smartphone app combining structured counseling with sound therapy and conducted a pilot study to evaluate treatment compliance and symptom improvement (trial registration: DRKS00030007). Outcome variables were Ecological Momentary Assessment (EMA) measured tinnitus distress and loudness and Tinnitus Handicap Inventory (THI) at baseline and final visit. A multiple-baseline design with a baseline phase (only EMA) followed by an intervention phase (EMA and intervention) was applied. 21 patients with chronic tinnitus (≥ 6 months) were included. Overall compliance differed between modules (EMA usage: 79% of days, structured counseling: 72%, sound therapy: 32%). The THI score improved from baseline to final visit indicating a large effect (Cohens d = 1.1). Tinnitus distress and loudness did not improve significantly from baseline phase to the end of intervention phase. However, 5 of 14 (36%) improved clinically meaningful in tinnitus distress (ΔDistress ≥ 10) and 13 of 18 (72%) in THI score (ΔTHI ≥ 7). The positive relationship between tinnitus distress and loudness weakened over the course of the study. A trend but no level effect for tinnitus distress could be demonstrated by a mixed effect model. The improvement in THI was strongly associated with the improvement scores in EMA of tinnitus distress (r = -0.75; 0.86). These results indicate that app-based structured counseling combined with sound therapy is feasible, has an impact on tinnitus symptoms and reduces distress for several patients. In addition, our data suggest that EMA could be used as a measurement tool to detect changes in tinnitus symptoms in clinical trials as has already been shown in other areas of mental health research.
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Affiliation(s)
- Milena Engelke
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- * E-mail:
| | - Jorge Simões
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Carsten Vogel
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Stefan Schoisswohl
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Martin Schecklmann
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Stella Wölflick
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Rüdiger Pryss
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Thomas Probst
- Department for Psychotherapy and Biopsychosocial Health, Danube University Krems, Krems, Austria
| | - Berthold Langguth
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Winfried Schlee
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- Institute for Information and Process Management, Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland
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Wong SM, Chen EY, Wong CS, Suen YN, Chan DL, Tsang SH, Wong TY, Cheung C, Chan KT, Lui SS, Wong MT, Chan SK, Lee EH, Myin-Germeys I, Hui CL. Impact of smartphone overuse on 1-year severe depressive symptoms and momentary negative affect: Longitudinal and experience sampling findings from a representative epidemiological youth sample in Hong Kong. Psychiatry Res 2022; 318:114939. [PMID: 36343577 DOI: 10.1016/j.psychres.2022.114939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/21/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022]
Abstract
Smartphone overuse can have detrimental impacts on youth mental health. How it may be longitudinally associated with depressive symptoms and functioning, and with daily momentary affect, remains to be investigated. A total of 3,033 young people were consecutively recruited from a large-scale epidemiological youth mental health study in Hong Kong. A subsample (n = 936) was followed-up after 1 year, with experience sampling data collected from 177 participants. Separate multivariable logistic regression models were applied to examine the prospective associations between smartphone overuse and depressive symptoms, with multilevel models fitted to examine its associations with momentary affect. The prevalence of smartphone overuse in the Hong Kong youth population was 29.3%. Smartphone overuse was significantly associated with more depressive symptoms and functional impairments both cross-sectionally and longitudinally. The associations between smartphone overuse and 1-year depressive symptoms were significant, even when accounting for baseline symptoms, social media use, and other risk and protective factors. Baseline depressive symptoms, in contrast, were not associated with 1-year smartphone overuse after adjusting for baseline smartphone overuse. Smartphone overuse was also significantly associated with higher levels of momentary negative affect, even when accounting for depressive symptoms. Strategies to mitigate the impact of smartphone overuse can have important long-term implications.
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Affiliation(s)
- Stephanie My Wong
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Eric Yh Chen
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.
| | - Corine Sm Wong
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Y N Suen
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Dorothy Lk Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Samantha Hs Tsang
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - T Y Wong
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Charlton Cheung
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - K T Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Simon Sy Lui
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Michael Th Wong
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Sherry Kw Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
| | - Edwin Hm Lee
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Inez Myin-Germeys
- Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Christy Lm Hui
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
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Harvey PD, Depp CA, Rizzo AA, Strauss GP, Spelber D, Carpenter LL, Kalin NH, Krystal JH, McDonald WM, Nemeroff CB, Rodriguez CI, Widge AS, Torous J. Technology and Mental Health: State of the Art for Assessment and Treatment. Am J Psychiatry 2022; 179:897-914. [PMID: 36200275 DOI: 10.1176/appi.ajp.21121254] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.
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Affiliation(s)
- Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Colin A Depp
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Albert A Rizzo
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Gregory P Strauss
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - David Spelber
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Linda L Carpenter
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Ned H Kalin
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John H Krystal
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - William M McDonald
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Charles B Nemeroff
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Carolyn I Rodriguez
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Alik S Widge
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John Torous
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
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10
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Marbaniang I, Rose E, Moodie EEM, Hart TA, Cox J. Mental health services use and depressive symptom scores among gay and bisexual men in Canada. Soc Psychiatry Psychiatr Epidemiol 2022; 57:2333-2342. [PMID: 36121487 PMCID: PMC9636296 DOI: 10.1007/s00127-022-02362-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 09/02/2022] [Indexed: 11/22/2022]
Abstract
PURPOSE To evaluate the association between mental health services (MHS) use and depressive symptom scores among gay and bisexual men (GBM) and compare with heterosexual men in Canada. METHODS We used data from the 2015-2016 cycles of the Canadian Community Health Survey. Depressive symptoms were assessed using the PHQ-9 questionnaire (prior two weeks). MHS consultations with any licensed mental health professional (prior year) were categorized as 0, 1, 2-11, ≥ 12. We fit linear regression models to quantify the associations between MHS use and PHQ-9 scores, with an interaction term for sexual identity (GBM and heterosexual men). Models were adjusted for socioeconomic and health-related indicators. RESULTS Among 21,383 men, 97.3% self-identified as heterosexual and 2.7% as GBM. Compared to heterosexual men, GBM used any MHS (21% vs. 10%, p < 0.05) and consulted ≥ 2 health professionals for their mental health (6% vs. 2%, p < 0.05) in the preceding year more frequently. Overall, mean PHQ-9 scores were higher among GBM compared to heterosexual men (3.9 vs. 2.3, p < 0.05). Relative to no consultations, higher MHS use (2-11, ≥ 12 consultations) was associated with higher PHQ-9 scores (1.4-4.9 points higher). Associations between MHS use and PHQ-9 scores did not differ statistically between GBM and heterosexual men. CONCLUSION Our findings were inconclusive in demonstrating a difference between heterosexual men and GBM for the association between MHS use and PHQ-9 scores. However, GBM consistently had higher average PHQ-9 scores for every category of consultations. Considering the higher use of MHS and higher burden of depressive symptoms among GBM, more research is needed.
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Affiliation(s)
- Ivan Marbaniang
- Department of Epidemiology, 2001 McGill University, Suite 1200, Montreal, QC, H3A 1G1, Canada.
| | - Eric Rose
- Department of Biostatistics, McGill University, Montreal, QC, Canada
| | - Erica E M Moodie
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Trevor A Hart
- Department of Psychology, Ryerson University, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Joseph Cox
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
- Direction Régionale de Santé Publique de Montréal, Montreal, QC, Canada
- Clinical Outcomes Research and Evaluation, Research Institute-McGill University Health Centre, Montreal, QC, Canada
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11
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Stein DJ, Shoptaw SJ, Vigo DV, Lund C, Cuijpers P, Bantjes J, Sartorius N, Maj M. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. World Psychiatry 2022; 21:393-414. [PMID: 36073709 PMCID: PMC9453916 DOI: 10.1002/wps.20998] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Psychiatry has always been characterized by a range of different models of and approaches to mental disorder, which have sometimes brought progress in clinical practice, but have often also been accompanied by critique from within and without the field. Psychiatric nosology has been a particular focus of debate in recent decades; successive editions of the DSM and ICD have strongly influenced both psychiatric practice and research, but have also led to assertions that psychiatry is in crisis, and to advocacy for entirely new paradigms for diagnosis and assessment. When thinking about etiology, many researchers currently refer to a biopsychosocial model, but this approach has received significant critique, being considered by some observers overly eclectic and vague. Despite the development of a range of evidence-based pharmacotherapies and psychotherapies, current evidence points to both a treatment gap and a research-practice gap in mental health. In this paper, after considering current clinical practice, we discuss some proposed novel perspectives that have recently achieved particular prominence and may significantly impact psychiatric practice and research in the future: clinical neuroscience and personalized pharmacotherapy; novel statistical approaches to psychiatric nosology, assessment and research; deinstitutionalization and community mental health care; the scale-up of evidence-based psychotherapy; digital phenotyping and digital therapies; and global mental health and task-sharing approaches. We consider the extent to which proposed transitions from current practices to novel approaches reflect hype or hope. Our review indicates that each of the novel perspectives contributes important insights that allow hope for the future, but also that each provides only a partial view, and that any promise of a paradigm shift for the field is not well grounded. We conclude that there have been crucial advances in psychiatric diagnosis and treatment in recent decades; that, despite this important progress, there is considerable need for further improvements in assessment and intervention; and that such improvements will likely not be achieved by any specific paradigm shifts in psychiatric practice and research, but rather by incremental progress and iterative integration.
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Affiliation(s)
- Dan J. Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape TownCape TownSouth Africa
| | - Steven J. Shoptaw
- Division of Family MedicineDavid Geffen School of Medicine, University of California Los AngelesLos AngelesCAUSA
| | - Daniel V. Vigo
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Crick Lund
- Centre for Global Mental Health, Health Service and Population Research DepartmentInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental PsychologyAmsterdam Public Health Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Jason Bantjes
- Alcohol, Tobacco and Other Drug Research UnitSouth African Medical Research CouncilCape TownSouth Africa
| | - Norman Sartorius
- Association for the Improvement of Mental Health ProgrammesGenevaSwitzerland
| | - Mario Maj
- Department of PsychiatryUniversity of Campania “L. Vanvitelli”NaplesItaly
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12
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Horwitz A, Czyz E, Al-Dajani N, Dempsey W, Zhao Z, Nahum-Shani I, Sen S. Utilizing daily mood diaries and wearable sensor data to predict depression and suicidal ideation among medical interns. J Affect Disord 2022; 313:1-7. [PMID: 35764227 PMCID: PMC10084890 DOI: 10.1016/j.jad.2022.06.064] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 05/09/2022] [Accepted: 06/22/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Intensive longitudinal methods (ILMs) for collecting self-report (e.g., daily diaries, ecological momentary assessment) and passive data from smartphones and wearable sensors provide promising avenues for improved prediction of depression and suicidal ideation (SI). However, few studies have utilized ILMs to predict outcomes for at-risk, non-clinical populations in real-world settings. METHODS Medical interns (N = 2881; 57 % female; 58 % White) were recruited from over 300 US residency programs. Interns completed a pre-internship assessment of depression, were given Fitbit wearable devices, and provided daily mood ratings (scale: 1-10) via mobile application during the study period. Three-step hierarchical logistic regressions were used to predict depression and SI at the end of the first quarter utilizing pre-internship predictors in step 1, Fitbit sleep/step features in step 2, and daily diary mood features in step 3. RESULTS Passively collected Fitbit features related to sleep and steps had negligible predictive validity for depression, and no incremental predictive validity for SI. However, mean-level and variability in mood scores derived from daily diaries were significant independent predictors of depression and SI, and significantly improved model accuracy. LIMITATIONS Work schedules for interns may result in sleep and activity patterns that differ from typical associations with depression or SI. The SI measure did not capture intent or severity. CONCLUSIONS Mobile self-reporting of daily mood improved the prediction of depression and SI during a meaningful at-risk period under naturalistic conditions. Additional research is needed to guide the development of adaptive interventions among vulnerable populations.
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Affiliation(s)
- Adam Horwitz
- Department of Psychiatry, University of Michigan, USA.
| | - Ewa Czyz
- Department of Psychiatry, University of Michigan, USA
| | | | - Walter Dempsey
- Institute for Social Research, University of Michigan, USA
| | - Zhuo Zhao
- Molecular and Behavioral Neuroscience Institute, University of Michigan, USA
| | | | - Srijan Sen
- Department of Psychiatry, University of Michigan, USA; Molecular and Behavioral Neuroscience Institute, University of Michigan, USA
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13
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Miller ML, Raugh IM, Strauss GP, Harvey PD. Remote digital phenotyping in serious mental illness: Focus on negative symptoms, mood symptoms, and self-awareness. Biomark Neuropsychiatry 2022. [DOI: 10.1016/j.bionps.2022.100047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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14
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A novel peripheral biomarker for depression and antidepressant response. Mol Psychiatry 2022; 27:1640-1646. [PMID: 34969978 PMCID: PMC9106819 DOI: 10.1038/s41380-021-01399-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/13/2021] [Accepted: 11/23/2021] [Indexed: 12/20/2022]
Abstract
In contrast to healthy controls, the heterotrimeric G protein, Gsalpha (Gsα) is ensconced predominantly in lipid rafts in subjects with major depressive disorder (MDD) resulting in impaired stimulation of adenylyl cyclase. In this small proof-of-concept study, we examined the hypothesis that translocation of Gsα from lipid rafts toward a more facile activation of adenylyl cyclase is a biomarker for clinical response to antidepressants. There were 49 subjects with MDD (HamD17 score ≥15) and 59 healthy controls at the screen visit. The AlphaScreen (PerkinElmer) assay measured both basal activity and prostaglandin E1 (PGE1) stimulation of Gsα-adenylyl cyclase to assess the extent of coupling of Gsα with adenylyl cyclase. At screen, platelet samples obtained from MDD subjects revealed significantly lower PGE1 activation of adenylyl cyclase activity than controls (p = 0.02). Subsequently, 19 consenting MDD subjects completed a 6-week open label antidepressant treatment trial. The 11 antidepressant responders (HamD17 improvement ≥50% from screen) revealed significant increase in PGE1-stimulated adenylyl cyclase compared to non-responders (p = 0.05) with an effect size of 0.83 for the PGE1/Gsα lipid-raft biomarker. PGE1 stimulation increased by ≥30% from screen assessment in eight responders (72.7%) and two non-responders (25.0%) [Fisher exact = 0.07] with a positive predictive value for response of 80.0%. In this small, pilot study, increased PGE1 stimulated adenylyl cyclase was associated with antidepressant response in MDD subjects. These data suggest that a simple, high-throughput-capable assay for depression and antidepressant response can be developed. Future studies are needed to evaluate the utility of this biomarker for the treatment of MDD.
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15
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van Genugten CR, Schuurmans J, Hoogendoorn AW, Araya R, Andersson G, Baños RM, Berger T, Botella C, Cerga Pashoja A, Cieslak R, Ebert DD, García-Palacios A, Hazo JB, Herrero R, Holtzmann J, Kemmeren L, Kleiboer A, Krieger T, Rogala A, Titzler I, Topooco N, Smit JH, Riper H. A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood. Front Psychiatry 2022; 13:755809. [PMID: 35370856 PMCID: PMC8968132 DOI: 10.3389/fpsyt.2022.755809] [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: 08/10/2021] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although major depressive disorder (MDD) is characterized by a pervasive negative mood, research indicates that the mood of depressed patients is rarely entirely stagnant. It is often dynamic, distinguished by highs and lows, and it is highly responsive to external and internal regulatory processes. Mood dynamics can be defined as a combination of mood variability (the magnitude of the mood changes) and emotional inertia (the speed of mood shifts). The purpose of this study is to explore various distinctive profiles in real-time monitored mood dynamics among MDD patients in routine mental healthcare. METHODS Ecological momentary assessment (EMA) data were collected as part of the cross-European E-COMPARED trial, in which approximately half of the patients were randomly assigned to receive the blended Cognitive Behavioral Therapy (bCBT). In this study a subsample of the bCBT group was included (n = 287). As part of bCBT, patients were prompted to rate their current mood (on a 1-10 scale) using a smartphone-based EMA application. During the first week of treatment, the patients were prompted to rate their mood on three separate occasions during the day. Latent profile analyses were subsequently applied to identify distinct profiles based on average mood, mood variability, and emotional inertia across the monitoring period. RESULTS Overall, four profiles were identified, which we labeled as: (1) "very negative and least variable mood" (n = 14) (2) "negative and moderate variable mood" (n = 204), (3) "positive and moderate variable mood" (n = 41), and (4) "negative and highest variable mood" (n = 28). The degree of emotional inertia was virtually identical across the profiles. CONCLUSIONS The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia.
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Affiliation(s)
- Claire R van Genugten
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands.,Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, Netherlands
| | - Josien Schuurmans
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Adriaan W Hoogendoorn
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Ricardo Araya
- Institute of Psychiatry Psychology and Neurosciences, King's College London, London, United Kingdom
| | - Gerhard Andersson
- Department of Behavioural Sciences and Learning, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Rosa M Baños
- Polibienestar Research Institute, University of Valencia, Valencia, Spain.,CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Thomas Berger
- Department of Clinical Psychology, University of Bern, Bern, Switzerland
| | - Cristina Botella
- CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain.,Department of Basic and Clinical Psychology and Psychobiology, Faculty of Health Sciences, Jaume I University, Castellon de la Plana, Spain
| | - Arlinda Cerga Pashoja
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Roman Cieslak
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland.,Lyda Hill Institute for Human Resilience, Colorado Springs, CO, United States
| | - David D Ebert
- Department for Sport and Health Sciences, Technical University (TU) Munich, Munich, Germany
| | - Azucena García-Palacios
- CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain.,Department of Basic and Clinical Psychology and Psychobiology, Faculty of Health Sciences, Jaume I University, Castellon de la Plana, Spain
| | - Jean-Baptiste Hazo
- Eceve, Unit 1123, Inserm, University of Paris, Health Economics Research Unit, Assistance Publique-Hôpitaux de Paris, Paris, France.,Unité de Recherche en Economie de la Santé, Assistance Publique, Hôpitaux de Paris, Paris, France
| | - Rocío Herrero
- Polibienestar Research Institute, University of Valencia, Valencia, Spain.,CIBERObn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
| | - Jérôme Holtzmann
- Mood Disorders and Emotional Pathologies Unit, Centre Expert Depression Résistante Fondation Fondamental, Pôle de Psychiatrie, Neurologie et Rééducation Neurologique, University Hospital Grenoble Alpes, Grenoble, France
| | - Lise Kemmeren
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Annet Kleiboer
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, Netherlands
| | - Tobias Krieger
- Department of Clinical Psychology, University of Bern, Bern, Switzerland
| | - Anna Rogala
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland
| | - Ingrid Titzler
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Naira Topooco
- Department of Behavioural Sciences and Learning, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.,Center for m2Health, Palo Alto, CA, United States
| | - Johannes H Smit
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Heleen Riper
- Department of Psychiatry, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands.,Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, Netherlands.,Institute of Telepsychiatry, University of Southern Denmark, Odense, Denmark.,University of Turku, Faculty of Medicine, Turku, Finland
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16
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Shvetz C, Gu F, Drodge J, Torous J, Guimond S. Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia. NPJ SCHIZOPHRENIA 2021; 7:64. [PMID: 34934063 PMCID: PMC8692600 DOI: 10.1038/s41537-021-00194-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 11/03/2021] [Indexed: 11/08/2022]
Abstract
Cognitive impairments are a core feature of schizophrenia that have negative impacts on functional outcomes. However, it remains challenging to assess these impairments in clinical settings. Smartphone apps provide the opportunity to measure cognitive impairments in an accessible way; however, more research is needed to validate these cognitive assessments in schizophrenia. We assessed the initial accessibility, validity, and reliability of a smartphone-based cognitive test to measure cognition in schizophrenia. A total of 29 individuals with schizophrenia and 34 controls were included in the analyses. Participants completed the standard pen-and-paper Trail Making Tests (TMT) A and B, and smartphone-based versions, Jewels Trail Tests (JTT) A and B, at the single in-lab visit. Participants were asked to complete the JTT remotely once per week for three months. We also investigated how subjective sleep quality and mood may affect cognitive performance longitudinally. In-lab and remote JTT scores moderately and positively correlated with in-lab TMT scores. Moderate test-retest reliability was observed across the in-lab, first remote, and last remote completion times of the JTT. Additionally, individuals with schizophrenia had significantly lower performance compared to controls on both the in-lab JTT and TMT. Self-reported mood had a significant effect on JTT A performance over time but no other significant relationships were found remotely. Our results support the initial accessibility, validity and reliability of using the JTT to measure cognition in schizophrenia. Future research to develop additional smartphone-based cognitive tests as well as with larger samples and in other psychiatric populations are warranted.
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Affiliation(s)
- Cecelia Shvetz
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
| | - Feng Gu
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
| | - Jessica Drodge
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - John Torous
- Department of Psychiatry and Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada.
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada.
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.
- Département de Psychoéducation et Psychologie, Université du Québec en Outaouais, Gatineau, QC, Canada.
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17
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Torous J, Bucci S, Bell IH, Kessing LV, Faurholt-Jepsen M, Whelan P, Carvalho AF, Keshavan M, Linardon J, Firth J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 2021; 20:318-335. [PMID: 34505369 PMCID: PMC8429349 DOI: 10.1002/wps.20883] [Citation(s) in RCA: 251] [Impact Index Per Article: 83.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological advances to mental health research and care, by detailing how smartphones, social media, artificial intelligence and virtual reality present new opportunities for "digital phenotyping" and remote intervention. Second, we review the current evidence for the use of these new technological approaches across different mental health contexts, covering their emerging efficacy in self-management of psychological well-being and early intervention, along with more nascent research supporting their use in clinical management of long-term psychiatric conditions - including major depression; anxiety, bipolar and psychotic disorders; and eating and substance use disorders - as well as in child and adolescent mental health care. Third, we discuss the most pressing challenges and opportunities towards real-world implementation, using the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to explain how the innovations themselves, the recipients of these innovations, and the context surrounding innovations all must be considered to facilitate their adoption and use in mental health care systems. We conclude that the new technological capabilities of smartphones, artificial intelligence, social media and virtual reality are already changing mental health care in unforeseen and exciting ways, each accompanied by an early but promising evidence base. We point out that further efforts towards strengthening implementation are needed, and detail the key issues at the patient, provider and policy levels which must now be addressed for digital health technologies to truly improve mental health research and treatment in the future.
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Affiliation(s)
- John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sandra Bucci
- Digital Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Centre for Health Informatics, University of Manchester, Manchester, UK
| | - Imogen H Bell
- Orygen, Melbourne, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lars V Kessing
- Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
- Copenhagen Affective Disorder Research Center, Copenhagen, Denmark
| | - Maria Faurholt-Jepsen
- Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
- Copenhagen Affective Disorder Research Center, Copenhagen, Denmark
| | - Pauline Whelan
- Digital Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Centre for Health Informatics, University of Manchester, Manchester, UK
| | - Andre F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, Deakin University, Geelong, VIC, Australia
| | - Matcheri Keshavan
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jake Linardon
- Deakin University, Centre for Social and Early Emotional Development and School of Psychology, Burwood, VIC, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- NICM Health Research Institute, Western Sydney University, Westmead, NSW, Australia
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18
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Connolly SL, Kuhn E, Possemato K, Torous J. Digital Clinics and Mobile Technology Implementation for Mental Health Care. Curr Psychiatry Rep 2021; 23:38. [PMID: 33961135 PMCID: PMC8103883 DOI: 10.1007/s11920-021-01254-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE OF REVIEW Interest in digital mental health, especially smartphone apps, has expanded in light of limited access to mental health services and the need for remote care during COVID-19. Digital clinics, in which apps are blended into routine care, offer a potential solution to common implementation challenges including low user engagement and lack of clinical integration of apps. RECENT FINDINGS While the number of mental health apps available in commercial marketplaces continues to rise, there are few examples of successful implementation of these apps into care settings. We review one example of a digital clinic created within an academic medical center and another within the Department of Veterans Affairs. We then discuss how implementation science can inform new efforts to effectively integrate mental health technologies across diverse use cases. Integrating mental health apps into care settings is feasible but requires careful attention to multiple domains that will influence implementation success, including characteristics of the innovation (e.g., utility and complexity of the app), the recipients of the technology (e.g., patients and clinicians), and context (e.g., healthcare system buy-in, reimbursement, and regulatory policies). Examples of effective facilitation strategies that can be utilized to improve implementation efforts include co-production of technology involving all end users, specialized trainings for staff and patients, creation of new team members to aid in app usage (e.g., digital navigators), and re-design of clinical workflows.
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Affiliation(s)
- Samantha L Connolly
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Eric Kuhn
- National Center for PTSD, Dissemination and Training Division, VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyle Possemato
- VA Center for Integrated Healthcare, Syracuse Veterans Affairs Medical Center, Syracuse, NY, USA
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02446, USA.
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19
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Durand D, Strassnig MT, Moore RC, Depp CA, Ackerman RA, Pinkham AE, Harvey PD. Self-reported social functioning and social cognition in schizophrenia and bipolar disorder: Using ecological momentary assessment to identify the origin of bias. Schizophr Res 2021; 230:17-23. [PMID: 33667854 PMCID: PMC8222067 DOI: 10.1016/j.schres.2021.02.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/14/2021] [Accepted: 02/14/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVES People with schizophrenia (SCZ) and bipolar illness (BPI) generate self-reports of their functioning that diverge from objective information. It has been suggested that these participants do not base such reports on daily experiences, relying on other information. We used ecological momentary assessment (EMA) to sample socially relevant daily activities in SCZ and BPI and related them to self-reported and observer-rated social functioning and social cognitive ability. METHODS 71 people with (BPI) were compared to 102 people with SCZ. Participants were sampled 3 times per day for 30 days with a smartphone-based survey. Each survey asked where they were, with whom they were, what they were doing, and if they were sad. Participants and observers were asked to provide ratings on social functioning and social cognitive abilities at the end of the EMA period. RESULTS There was no association between being home or alone and self-reports of everyday social functioning. In contrast observer ratings were highly correlated with the momentary survey results. Reports of very low levels of sadness were associated with overestimated functioning and participants who were commonly home and alone rated their social functioning as better than participants who were commonly away in the presence of others. IMPLICATIONS Both SCZ and BPI were marked by a disconnect between momentary experiences and self-reports. The largest effect was overestimation of functioning by participants who reported no sadness. Experience appears important, as participants who were routinely home and alone reported better social functioning than participants who spent more time others.
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Affiliation(s)
- Dante Durand
- University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Martin T Strassnig
- University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Raeanne C Moore
- UCSD Health Sciences Center, La Jolla, CA, United States of America
| | - Colin A Depp
- UCSD Health Sciences Center, La Jolla, CA, United States of America; San Diego VA Medical Center La Jolla, CA, United States of America
| | - Robert A Ackerman
- University of Texas at Dallas, Richardson, TX, United States of America
| | - Amy E Pinkham
- University of Texas at Dallas, Richardson, TX, United States of America; University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Philip D Harvey
- University of Miami Miller School of Medicine, Miami, FL, United States of America; Bruce W. Carter VA Medical Center, Miami, FL, United States of America.
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