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Wilhelm S, Bernstein EE, Bentley KH, Snorrason I, Hoeppner SS, Klare D, Greenberg JL, Weingarden H, McCoy TH, Harrison O. Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone App-Led Cognitive Behavioral Therapy for Depression Under Therapist Supervision: Open Trial. JMIR Ment Health 2024; 11:e53998. [PMID: 38592771 DOI: 10.2196/53998] [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: 10/26/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Major depressive disorder affects approximately 1 in 5 adults during their lifetime and is the leading cause of disability worldwide. Yet, a minority receive adequate treatment due to person-level (eg, geographical distance to providers) and systems-level (eg, shortage of trained providers) barriers. Digital tools could improve this treatment gap by reducing the time and frequency of therapy sessions needed for effective treatment through the provision of flexible, automated support. OBJECTIVE This study aimed to examine the feasibility, acceptability, and preliminary clinical effect of Mindset for Depression, a deployment-ready 8-week smartphone-based cognitive behavioral therapy (CBT) supported by brief teletherapy appointments with a therapist. METHODS This 8-week, single-arm open trial tested the Mindset for Depression app when combined with 8 brief (16-25 minutes) video conferencing visits with a licensed doctoral-level CBT therapist (n=28 participants). The app offers flexible, accessible psychoeducation, CBT skills practice, and support to patients as well as clinician guidance to promote sustained engagement, monitor safety, and tailor treatment to individual patient needs. To increase accessibility and thus generalizability, all study procedures were conducted remotely. Feasibility and acceptability were assessed via attrition, patient expectations and feedback, and treatment utilization. The primary clinical outcome measure was the clinician-rated Hamilton Depression Rating Scale, administered at pretreatment, midpoint, and posttreatment. Secondary measures of functional impairment and quality of life as well as maintenance of gains (3-month follow-up) were also collected. RESULTS Treatment credibility (week 4), expectancy (week 4), and satisfaction (week 8) were moderate to high, and attrition was low (n=2, 7%). Participants self-reported using the app or practicing (either on or off the app) the CBT skills taught in the app for a median of 50 (IQR 30-60; week 4) or 60 (IQR 30-90; week 8) minutes per week; participants accessed the app on an average 36.8 (SD 10.0) days and completed a median of 7 of 8 (IQR 6-8) steps by the week 8 assessment. The app was rated positively across domains of engagement, functionality, aesthetics, and information. Participants' depression severity scores decreased from an average Hamilton Depression Rating Scale score indicating moderate depression (mean 19.1, SD 5.0) at baseline to a week 8 mean score indicating mild depression (mean 10.8, SD 6.1; d=1.47; P<.001). Improvement was also observed for functional impairment and quality of life. Gains were maintained at 3-month follow-up. CONCLUSIONS The results show that Mindset for Depression is a feasible and acceptable treatment option for individuals with major depressive disorder. This smartphone-led treatment holds promise to be an efficacious, scalable, and cost-effective treatment option. The next steps include testing Mindset for Depression in a fully powered randomized controlled trial and real-world clinical settings. TRIAL REGISTRATION ClinicalTrials.gov NCT05386329; https://clinicaltrials.gov/study/NCT05386329?term=NCT05386329.
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Affiliation(s)
- Sabine Wilhelm
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Emily E Bernstein
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kate H Bentley
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Ivar Snorrason
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Susanne S Hoeppner
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Dalton Klare
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jennifer L Greenberg
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Hilary Weingarden
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Thomas H McCoy
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Yang J, Lin XZ, Guo QW, Wang CL, Yang RY, Zhang JW, Zeng Y. Mediating effect of mindfulness level on the relationship between marital quality and postpartum depression among primiparas. World J Clin Cases 2023; 11:2729-2739. [PMID: 37214570 PMCID: PMC10198118 DOI: 10.12998/wjcc.v11.i12.2729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 03/08/2023] [Accepted: 03/27/2023] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND Postpartum depression refers to a depressive episode or depressive symptoms up to 12 mo after delivery. Trait mindfulness has presented a protective factor for postpartum depressive symptoms and proved efficient in improving relationship satisfaction among couples.
AIM To investigate the correlations among mindfulness, marital quality, anxiety, and depression in a large city in western China during the post-corona virus infectious disease-2019 era and determine whether trait mindfulness mediates the relationship between marital quality and postpartum anxiety and depression among primiparas.
METHODS A cross-sectional study was conducted. The self-administered questionnaire was submitted online through smartphones. The levels of mindfulness, anxiety, depression, and marital quality were respectively investigated by the mindful attention awareness scale (MAAS), the self-rating anxiety scale (SAS), the self-rating depression scale (SDS), and the marriage perception scale (MPS) in these enrolled Han and Tujia primiparas.
RESULTS No statistical significance was observed in the prevalence of postpartum anxiety and depression, nor scores of MAAS and MPS-Total in different regions or ethnicities (P > 0.05). However, MPS-Marital interaction (P < 0.05), MPS-Family relationship (MPS-FR) (P < 0.01), and MPS-Marital conflict (MPS-MC) (P < 0.01) scores of urban primiparas were higher than those of rural primiparas. The MPS-MC score of Han primiparas was higher than that of Tujia primiparas (P < 0.05). Negative correlations were observed between MAAS and SAS (r = -0.457, P < 0.01), and MAAS and SDS (r = -0.439, P < 0.01). SAS has revealed a highly positive correlation with SDS (r = 0.720, P < 0.01) and a weak negative correlation with MPS (r = -0.200, P < 0.05). Besides, a weak negative correlation was observed between MAAS and MPS-MC (r = -0.184, P < 0.05), and a weak positive correlation was noticed between SAS and MPS-MC (r = -0.225, P < 0.01). Mediation analysis demonstrated a full mediation effect of mindfulness level on the relationship between MPS-FR and postpartum anxiety (P < 0.05, 95%CI: -0.384 to 0.033), MPS-MC and postpartum anxiety (P < 0.01, 95%CI: 0.027-0.193), MPS-FR and postpartum depression (P < 0.05, 95%CI: -0.365 to 0.031), and MPS-MC and postpartum depression (P < 0.01, 95%CI: 0.022-0.206).
CONCLUSION Mindfulness demonstrates negative correlations with marital conflict, postpartum anxiety and depression, and it may have cross-ethnic and trans-regional characteristics. Although the mindfulness levels have revealed no significant mediating effect between the total score of marital quality and postpartum depression in this study, it demonstrates a full mediation effect on the relationships between family relationships, marital conflict, and postpartum anxiety and depression.
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Affiliation(s)
- Jian Yang
- Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xin-Zhu Lin
- Department of Psychology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Qian-Wen Guo
- Department of Obstetrics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Cheng-Ling Wang
- Department of Obstetrics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - Ren-Yan Yang
- Department of Obstetrics, Chongqing Shizhu Tujia Autonomous County People’s Hospital, Chongqing 409100, China
| | - Jun-Wen Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yan Zeng
- Department of Psychology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
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Zhou D, Kang Y, Cosme D, Jovanova M, He X, Mahadevan A, Ahn J, Stanoi O, Brynildsen JK, Cooper N, Cornblath EJ, Parkes L, Mucha PJ, Ochsner KN, Lydon-Staley DM, Falk EB, Bassett DS. Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present. Proc Natl Acad Sci U S A 2023; 120:e2201074119. [PMID: 36595675 PMCID: PMC9926276 DOI: 10.1073/pnas.2201074119] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 10/17/2022] [Indexed: 01/05/2023] Open
Abstract
Mindful attention is characterized by acknowledging the present experience as a transient mental event. Early stages of mindfulness practice may require greater neural effort for later efficiency. Early effort may self-regulate behavior and focalize the present, but this understanding lacks a computational explanation. Here we used network control theory as a model of how external control inputs-operationalizing effort-distribute changes in neural activity evoked during mindful attention across the white matter network. We hypothesized that individuals with greater network controllability, thereby efficiently distributing control inputs, effectively self-regulate behavior. We further hypothesized that brain regions that utilize greater control input exhibit shorter intrinsic timescales of neural activity. Shorter timescales characterize quickly discontinuing past processing to focalize the present. We tested these hypotheses in a randomized controlled study that primed participants to either mindfully respond or naturally react to alcohol cues during fMRI and administered text reminders and measurements of alcohol consumption during 4 wk postscan. We found that participants with greater network controllability moderated alcohol consumption. Mindful regulation of alcohol cues, compared to one's own natural reactions, reduced craving, but craving did not differ from the baseline group. Mindful regulation of alcohol cues, compared to the natural reactions of the baseline group, involved more-effortful control of neural dynamics across cognitive control and attention subnetworks. This effort persisted in the natural reactions of the mindful group compared to the baseline group. More-effortful neural states had shorter timescales than less effortful states, offering an explanation for how mindful attention promotes being present.
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Affiliation(s)
- Dale Zhou
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Yoona Kang
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
| | - Danielle Cosme
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
| | - Mia Jovanova
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
| | - Xiaosong He
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, 230026 Hefei, People’s Republic of China
| | - Arun Mahadevan
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
| | - Jeesung Ahn
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
| | - Ovidia Stanoi
- Department of Psychology, Columbia University, New York, NY 19104
| | - Julia K. Brynildsen
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
| | - Nicole Cooper
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
| | - Eli J. Cornblath
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
| | - Linden Parkes
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
| | - Peter J. Mucha
- Department of Mathematics, Dartmouth College, Hanover, NH 03755
| | - Kevin N. Ochsner
- Department of Psychology, Columbia University, New York, NY 19104
| | - David M. Lydon-Staley
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104
| | - Emily B. Falk
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
- Marketing Department, Wharton School, University of Pennsylvania, Philadelphia, PA 19104
| | - Dani S. Bassett
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Santa Fe Institute, Santa Fe, NM 87501
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Bein M, Lesage M, Dikaios E, Chakravarty M, Segal Z, Royal I, Speechley M, Schiavetto A, Blumberger D, Sacchet MD, Therriault J, Gruber J, Tourjman V, Richard-Devantoy S, Nair V, Bruneau MA, Rej S, Lifshitz M, Sekhon H. Mindfulness-based cognitive therapy vs. a health enhancement program for the treatment of late-life depression: Study protocol for a multi-site randomized controlled trial. Front Aging Neurosci 2022; 14:976636. [PMID: 36118690 PMCID: PMC9476649 DOI: 10.3389/fnagi.2022.976636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundLate-life depression (LLD) affects up to 18% of older adults and has been linked to elevated dementia risk. Mindfulness-based cognitive therapy (MBCT) holds promise for treating symptoms of depression and ameliorating cognitive deficits in older adults. While preliminary findings are promising, a definitive RCT investigating its effects on late life depression and cognition have not yet been conducted. We present a protocol describing a multi-site blinded randomized controlled trial, comparing the effects of MBCT and of an active control, a Health Enhancement Program (HEP), on depressive symptoms, executive functioning, and brain biomarkers of LLD, among several other exploratory outcomes.MethodsTwo-hundred and thirteen (n = 213) patients with LLD will be recruited at various centers in Montreal, QC, Canada. Participants will undergo stratified randomization to either MBCT or HEP intervention groups. We will assess changes in (1) depression severity using the Hamilton Depression Rating Scale (HAM-D17), (2) processing speed and executive functioning, (3) brain biomarkers of LLD (hippocampal volume, default network resting-state functional connectivity and executive network resting-state functional connectivity), and (4) other exploratory physiological and mood-based measures, at baseline (0 weeks), post intervention (8 weeks), and 26 weeks after baseline.DiscussionThe proposed study will assess the clinical potential of MBCT to improve symptoms of depression, as well as examine its impact on cognitive impairments and neurobiological markers, and thus inform its use as a promising adjunct in the treatment of LLD.Clinical trial registrationwww.ClinicalTrials.gov, identifier: NCT05366088.
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Affiliation(s)
- Magnus Bein
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Myriam Lesage
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Elena Dikaios
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Mallar Chakravarty
- Departments of Biological and Biomedical Engineering and Psychiatry, Centre d'imagerie cérébrale, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Zindel Segal
- University of Toronto–Scarborough, Toronto, ON, Canada
| | - Isabelle Royal
- Neuropsychology Service, Department of Psychiatry, Jewish General Hospital, Montréal, QC, Canada
| | - Mark Speechley
- Department of Epidemiology and Biostatistics, University of Western Ontario, London, ON, Canada
| | - Alessandra Schiavetto
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Daniel Blumberger
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Matthew D. Sacchet
- Meditation Research Program, Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Joseph Therriault
- Department of Neurology and Neurosurgery, Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Douglas Mental Health Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest de l'Île de Montréal, Montréal, QC, Canada
| | - Johanna Gruber
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Valerie Tourjman
- Department of Psychiatry, Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
| | | | - Vasavan Nair
- Department of Psychiatry, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Marie-Andrée Bruneau
- Département de psychiatrie et d'addictologie, Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
| | - Soham Rej
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- *Correspondence: Soham Rej
| | - Michael Lifshitz
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Harmehr Sekhon
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Division of Geriatric Psychiatry, Harvard Medical School, McLean Hospital, Cambridge, MA, United States
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Canby NK, Eichel K, Peters SI, Rahrig H, Britton WB. Predictors of Out-of-Class Mindfulness Practice Adherence During and After a Mindfulness-Based Intervention. Psychosom Med 2021; 83:655-664. [PMID: 33038188 PMCID: PMC8024418 DOI: 10.1097/psy.0000000000000873] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Out-of-class mindfulness meditation practice is a health behavior that is considered to be a crucial ingredient in mindfulness-based interventions (MBIs), yet participant adherence to practice recommendations is often inconsistent. Furthermore, MBIs may enhance factors that lead to greater adherence to medical regimens in other contexts. This study examined baseline factors previously found to relate to adherence to medical regimen, MBI-related changes in these baseline factors, and treatment-related factors as predictors of meditation adherence in an 8-week MBI. METHODS Baseline traits (personality, depressive symptoms, and executive function) were entered into regression models (n = 96) to predict intervention and postintervention out-of-class meditation adherence. Trait changes and treatment-related factors were entered into models to predict postintervention meditation adherence. RESULTS Baseline conscientiousness (β = 0.33, p = .002), openness (β = 0.23, p = .019), and depressive symptoms (β = 0.19, p = .042) predicted intervention meditation adherence, whereas conscientiousness (β = 0.21, p = .044) and depressive symptoms (β = 0.22, p = .020) predicted postintervention meditation adherence. Although all trait variables except for agreeableness changed significantly pre-to-post intervention, these changes did not predict postintervention meditation adherence. Retreat attendance (β = 0.38, p = .029) and instructor/group-related therapeutic factors collectively predicted postintervention meditation adherence (R2 = 0.21, p = .019). CONCLUSIONS The identified baseline trait factors could be used to increase adherence in these interventions as a method of increasing their effectiveness. An emphasis on the MBI retreat and social factors during the intervention may be important for participant out-of-class practice postintervention.Trial Registration:ClinicalTrials.govNCT01831362.
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Affiliation(s)
- Nicholas K. Canby
- Department of Psychology, Clark University
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Kristina Eichel
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Sarah I. Peters
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Hadley Rahrig
- Department of Psychology, Virginia Commonwealth University
| | - Willoughby B. Britton
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
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Abstract
The novel coronavirus disease 2019 (COVID-19) outbreak places perinatal women at higher risk of developing anxiety and depression. Uncertainty, fear, and confusion in medical, social, economic, occupational, and political aspects of life in the United States add to existing stressors that perinatal women experience. To optimize the quality of perinatal care during the pandemic, appropriate mental health interventions must be implemented to prevent and alleviate perinatal anxiety and depression and improve maternal and infant outcomes. Measures include increased screening, nonpharmacologic and/or pharmacologic interventions, and the use of telehealth for care delivery.
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Apolinário-Hagen J, Drüge M, Fritsche L. Cognitive Behavioral Therapy, Mindfulness-Based Cognitive Therapy and Acceptance Commitment Therapy for Anxiety Disorders: Integrating Traditional with Digital Treatment Approaches. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1191:291-329. [DOI: 10.1007/978-981-32-9705-0_17] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Horesh D, Gordon I. Mindfulness-Based Therapy for Traumatized Adolescents: An Underutilized, Understudied Intervention. JOURNAL OF LOSS & TRAUMA 2019. [DOI: 10.1080/15325024.2018.1438047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Danny Horesh
- Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel
- Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel; NYU School of Medicine, Department of Psychiatry, New York, NY, USA
| | - Ilanit Gordon
- Department of Psychology and The Gonda Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel
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Sanivarapu S. Free your mind: Mindfulness practice of Buddhist philosophy. Indian J Psychiatry 2016; 58:345. [PMID: 28066018 PMCID: PMC5100132 DOI: 10.4103/0019-5545.192009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Sravanti Sanivarapu
- Department of Psychiatry, PES Institute of Medical Sciences and Research, Kuppam, Chittoor, Andhra Pradesh, India. E-mail:
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