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Vitali D, Olugbade T, Eccleston C, Keogh E, Bianchi-Berthouze N, de C Williams AC. Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life. Pain 2024; 165:1348-1360. [PMID: 38258888 DOI: 10.1097/j.pain.0000000000003134] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 09/26/2023] [Indexed: 01/24/2024]
Abstract
ABSTRACT Technology offers possibilities for quantification of behaviors and physiological changes of relevance to chronic pain, using wearable sensors and devices suitable for data collection in daily life contexts. We conducted a scoping review of wearable and passive sensor technologies that sample data of psychological interest in chronic pain, including in social situations. Sixty articles met our criteria from the 2783 citations retrieved from searching. Three-quarters of recruited people were with chronic pain, mostly musculoskeletal, and the remainder with acute or episodic pain; those with chronic pain had a mean age of 43 (few studies sampled adolescents or children) and 60% were women. Thirty-seven studies were performed in laboratory or clinical settings and the remainder in daily life settings. Most used only 1 type of technology, with 76 sensor types overall. The commonest was accelerometry (mainly used in daily life contexts), followed by motion capture (mainly in laboratory settings), with a smaller number collecting autonomic activity, vocal signals, or brain activity. Subjective self-report provided "ground truth" for pain, mood, and other variables, but often at a different timescale from the automatically collected data, and many studies reported weak relationships between technological data and relevant psychological constructs, for instance, between fear of movement and muscle activity. There was relatively little discussion of practical issues: frequency of sampling, missing data for human or technological reasons, and the users' experience, particularly when users did not receive data in any form. We conclude the review with some suggestions for content and process of future studies in this field.
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Affiliation(s)
- Diego Vitali
- Research Department of Clinical, Educational & Health Psychology, University College London, London, United Kingdom
| | - Temitayo Olugbade
- School of Engineering and Informatics, University of Sussex, Brighton, United Kingdom
- Interaction Centre, University College London, London, United Kingdom
| | - Christoper Eccleston
- Centre for Pain Research, The University of Bath, Bath, United Kingdom
- Department of Experimental, Clinical and Health Psychology, Ghent University, Ghent, Belgium
- Department of Psychology, The University of Helsinki, Helsinki, Finland
| | - Edmund Keogh
- Centre for Pain Research, The University of Bath, Bath, United Kingdom
| | | | - Amanda C de C Williams
- Research Department of Clinical, Educational & Health Psychology, University College London, London, United Kingdom
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Xu K, Zhao S, Ren Y, Zhong Q, Feng J, Tu D, Wu W, Wang J, Chen J, Xie P. Elevated SCN11A concentrations associated with lower serum lipid levels in patients with major depressive disorder. Transl Psychiatry 2024; 14:202. [PMID: 38734669 PMCID: PMC11088647 DOI: 10.1038/s41398-024-02916-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
The pathogenesis of major depressive disorder (MDD) involves lipid metabolism. Our earlier research also revealed that MDD patients had much lower total cholesterol (TC) concentrations than healthy controls (HCs). However, it is still unclear why TC decreased in MDD. Here, based on the Ingenuity Knowledge Base's ingenuity pathway analysis, we found that sodium voltage-gated channel alpha subunit 11A (SCN11A) might serve as a link between low lipid levels and MDD. We analyzed the TC levels and used ELISA kits to measure the levels of SCN11A in the serum from 139 MDD patients, and 65 HCs to confirm this theory and explore the potential involvement of SCN11A in MDD. The findings revealed that TC levels were considerably lower and SCN11A levels were remarkably increased in MDD patients than those in HCs, while they were significantly reversed in drug-treatment MDD patients than in drug-naïve MDD patients. There was no significant difference in SCN11A levels among MDD patients who used single or multiple antidepressants, and selective serotonin reuptake inhibitors or other antidepressants. Pearson correlation analysis showed that the levels of TC and SCN11A were linked with the Hamilton Depression Rating Scales score. A substantial association was also found between TC and SCN11A. Moreover, a discriminative model made up of SCN11A was discovered, which produced an area under a curve of 0.9571 in the training set and 0.9357 in the testing set. Taken together, our findings indicated that SCN11A may serve as a link between low lipid levels and MDD, and showed promise as a candidate biomarker for MDD.
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Affiliation(s)
- Ke Xu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- National Health Commission Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuang Zhao
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Institute for Viral Hepatitis, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Lab of Stem Cell and Tissue Engineering, Department of Histology and Embryology, Chongqing Medical University, Chongqing, China
| | - Yi Ren
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- National Health Commission Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Zhong
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Jinzhou Feng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dianji Tu
- Department of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wentao Wu
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Jiaolin Wang
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Jianjun Chen
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- National Health Commission Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Namgung E, Ha E, Yoon S, Song Y, Lee H, Kang HJ, Han JS, Kim JM, Lee W, Lyoo IK, Kim SJ. Identifying unique subgroups in suicide risks among psychiatric outpatients. Compr Psychiatry 2024; 131:152463. [PMID: 38394926 DOI: 10.1016/j.comppsych.2024.152463] [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: 09/05/2023] [Revised: 01/27/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND The presence of psychiatric disorders is widely recognized as one of the primary risk factors for suicide. A significant proportion of individuals receiving outpatient psychiatric treatment exhibit varying degrees of suicidal behaviors, which may range from mild suicidal ideations to overt suicide attempts. This study aims to elucidate the transdiagnostic symptom dimensions and associated suicidal features among psychiatric outpatients. METHODS The study enrolled patients who attended the psychiatry outpatient clinic at a tertiary hospital in South Korea (n = 1, 849, age range = 18-81; 61% women). A data-driven classification methodology was employed, incorporating a broad spectrum of clinical symptoms, to delineate distinctive subgroups among psychiatric outpatients exhibiting suicidality (n = 1189). A reference group of patients without suicidality (n = 660) was included for comparative purposes to ascertain cluster-specific sociodemographic, suicide-related, and psychiatric characteristics. RESULTS Psychiatric outpatients with suicidality (n = 1189) were subdivided into three distinctive clusters: the low-suicide risk cluster (Cluster 1), the high-suicide risk externalizing cluster (Cluster 2), and the high-suicide risk internalizing cluster (Cluster 3). Relative to the reference group (n = 660), each cluster exhibited distinct attributes pertaining to suicide-related characteristics and clinical symptoms, covering domains such as anxiety, externalizing and internalizing behaviors, and feelings of hopelessness. Cluster 1, identified as the low-suicide risk group, exhibited less frequent suicidal ideation, planning, and multiple attempts. In the high-suicide risk groups, Cluster 2 displayed pronounced externalizing symptoms, whereas Cluster 3 was primarily defined by internalizing and hopelessness symptoms. Bipolar disorders were most common in Cluster 2, while depressive disorders were predominant in Cluster 3. DISCUSSION Our findings suggest the possibility of differentiating psychiatric outpatients into distinct, clinically relevant subgroups predicated on their suicide risk. This research potentially paves the way for personalizing interventions and preventive strategies that address cluster-specific characteristics, thereby mitigating suicide-related mortality among psychiatric outpatients.
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Affiliation(s)
- Eun Namgung
- Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea
| | - Eunji Ha
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Yumi Song
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Hyangwon Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, South Korea
| | - Jung-Soo Han
- Department of Biological Sciences, Konkuk University, Seoul, South Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, South Korea
| | - Wonhye Lee
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea; Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea.
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, South Korea.
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Mpinga K, Rukundo T, Mwale O, Kamwiyo M, Thengo L, Ruderman T, Matanje B, Munyaneza F, Connolly E, Kulisewa K, Udedi M, Kachimanga C, Dullie L, McBain R. Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members. Glob Health Action 2023; 16:2241808. [PMID: 37554074 PMCID: PMC10413913 DOI: 10.1080/16549716.2023.2241808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/24/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Globally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals' depressive symptoms and their household members' mental health and well-being. OBJECTIVES We aimed to investigate the prevalence and predictors of depressive symptoms among adult household members of patients living with major depressive disorder in Neno District, Malawi. METHODS As part of a cluster randomized controlled trial providing depression care to adults with major depressive disorder, we conducted surveys with patients' household members (n = 236) and inquired about their overall health, depressive symptoms, disability, and social support. We calculated prevalence rates of depressive disorder and conducted multivariable linear regression and multivariable logistic regression analyses to assess correlates of depressive symptom severity and predictors of having depressive disorder (PHQ-9), respectively, among household members. RESULTS We observed that roughly one in five household members (19%) screened positive for a depressive disorder (PHQ-9 > 9). More than half of household members endorsed six or more of the nine symptoms, with 68% reporting feeling 'down, depressed, or hopeless' in the prior two weeks. Elevated depression symptom severity was associated with greater disability (β = 0.17, p < 0.001), less social support (β = -0.04, p = 0.016), and lower self-reported overall health (β = 0.54, p = 0.001). Having depressive disorder was also associated with greater disability (adjusted Odds Ratio [aOR] = 1.12, p = 0.001) and less social support (aOR = 0.97, p = 0.024). CONCLUSIONS In the Malawian context, we find that depressive disorder and depression symptoms are shared attributes among household members. This has implications for both screening and treatment, and it suggests that mental health should be approached from the vantage point of the broader social ecology of the household and family unit. TRIAL REGISTRATION ClinicalTrials.gov (NCT04777006) - March 2, 2021.
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Affiliation(s)
- Kondwani Mpinga
- Monitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi
| | - Temusa Rukundo
- Pardee RAND Graduate School, RAND Corporation, Santa Monica, CA, USA
| | - Owen Mwale
- Clinical Department, Partners in Health, Neno, Malawi
| | | | - Limbani Thengo
- Monitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi
| | - Todd Ruderman
- Clinical Department, Partners in Health, Neno, Malawi
| | | | - Fabien Munyaneza
- Monitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi
| | | | - Kazione Kulisewa
- College of Medicine, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Michael Udedi
- Clinical Services, Ministry of Health, Lilongwe, Malawi
| | | | | | - Ryan McBain
- Healthcare Delivery, RAND Corporation, Washington, DC, USA
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Chou PH, Liu WC, Lin WH, Hsu CW, Wang SC, Su KP. NIRS-aided differential diagnosis among patients with major depressive disorder, bipolar disorder, and schizophrenia. J Affect Disord 2023; 341:366-373. [PMID: 37634818 DOI: 10.1016/j.jad.2023.08.101] [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: 07/28/2023] [Revised: 08/19/2023] [Accepted: 08/21/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND To establish a clinically applicable neuroimaging-guided diagnostic support system that uses near-infrared spectroscopy (NIRS) for differential diagnosis at the individual level among major depressive disorder (MDD), bipolar disorder (BPD), and schizophrenia (SZ). METHODS A total of 192 participants were recruited, including 40 patients with MDD, 38 patients with BPD, 65 patients with SZ, and 49 healthy individuals. We analyzed the spatiotemporal characteristics of hemodynamic responses in the frontotemporal cortex during a verbal fluency test (VFT) measured by NIRS to assess the accuracy of single-subject classification for differential diagnosis among the three psychiatric disorders. The optimal threshold of the frontal centroid value (54 seconds) was utilized on the basis of the findings of the Japanese study. RESULTS The application of the optimal threshold of the frontal centroid value (54 seconds) allowed for the accurate differentiation of patients with unipolar MDD (72.5%) from BPD (78.9%) or SZ (84.6%). CONCLUSION These results suggest that the NIRS-aided differential diagnosis of major psychiatric disorders can be a promising biomarker in Taiwan. Future multi-site studies are needed to validate our findings.
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Affiliation(s)
- Po-Han Chou
- Department of Psychiatry, China Medical University Hsinchu Hospital, Hsinchu, Taiwan; Dr. Chou's Mental Health Clinic, Hsinchu, Taiwan
| | - Wen-Chun Liu
- An-Nan Hospital, China Medical University, Tainan, Taiwan
| | - Wei-Hao Lin
- Department of Psychiatry, Puli branch, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chih-Wei Hsu
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Shao-Cheng Wang
- Department of Psychiatry, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Medical Laboratory Science and Biotechnology, Chung Hwa University of Medical Technology, Tainan, Taiwan.
| | - Kuan-Pin Su
- An-Nan Hospital, China Medical University, Tainan, Taiwan; Mind-Body Interface Research Center (MBI-Lab), China Medical University Hospital, Taichung, Taiwan; College of Medicine, China Medical University, Taichung, Taiwan.
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