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Deng Z, Wang W, Nie Z, Ma S, Zhou E, Xie X, Gong Q, Yao L, Bu L, Kang L, Liu Z. Increased glymphatic system activity and thalamic vulnerability in drug-naive somatic depression: Evidenced by DTI-ALPS index. Neuroimage Clin 2025; 46:103769. [PMID: 40120532 PMCID: PMC11998321 DOI: 10.1016/j.nicl.2025.103769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Revised: 03/05/2025] [Accepted: 03/16/2025] [Indexed: 03/25/2025]
Abstract
Major depressive disorder (MDD) is a significant contributor to global disease burden, with somatic symptoms frequently complicating its diagnosis and treatment. Recent advances in neuroimaging have provided insights into the neurobiological underpinnings of MDD, yet the role of the glymphatic system remains largely unexplored. This study aimed to assess glymphatic function in drug-naïve somatic depression (SMD) patients using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index. A total of 272 participants, including somatic depression patients (SMD), pure depression (PMD), and healthy controls (HC), were enrolled. We collected T1-weighted (T1w) and DTI (diffusion tensor image) scans and clinical data of all participants. The DTI-ALPS indices were calculated and compared among three groups. Gray matter regions associated with the DTI-ALPS index were identified by voxel-based morphometry analysis (VBM), revealing a cluster located in the thalamus. Then, we performed partial correlation analyses to further investigate the relationships between the DTI-ALPS index, thalamic volume, and clinical data. The DTI-ALPS index was significantly higher in the MDD group compared to the HC group, particularly in the SMD group. Furthermore, a significant positive correlation was observed between the DTI-ALPS index and thalamic volume, with lower DTI-ALPS values associated with reduced thalamic volumes, especially in the SMD group. Our findings suggest heightened glymphatic activity in MDD patients, especially SMD patients, and a potential link between glymphatic function and thalamic vulnerability. Therefore, the thalamus' vulnerability to glymphatic system function may play a role in the pathophysiology of depression, particularly somatic depression, suggesting that both the glymphatic system and the thalamus could serve as potential therapeutic or intervention targets for future treatments.
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Affiliation(s)
- Zipeng Deng
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Wei Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Zhaowen Nie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Simeng Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Enqi Zhou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Xinhui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Qian Gong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Lihua Yao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Lihong Bu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China.
| | - Lijun Kang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
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Bian K, Zhang P, Xu G, Sun W. The association between fatigue and cardiometabolic diseases: Insights from the UK biobank study. J Affect Disord 2025; 371:261-267. [PMID: 39577501 DOI: 10.1016/j.jad.2024.11.040] [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: 08/28/2024] [Revised: 10/09/2024] [Accepted: 11/11/2024] [Indexed: 11/24/2024]
Abstract
BACKGROUND Cardiometabolic diseases (CMD) are major global health concerns with significant morbidity and mortality. Fatigue, a common but often overlooked symptom, has been postulated as both a potential risk factor for and a consequence of these conditions. However, the relationships between fatigue and CMD remain unclear. This study aimed to investigate the relationship between fatigue and CMD using observational and genetic approaches. METHOD Observational study was conducted in the UK biobank. Genetic method was employed a bidirectional MR approach to examine the causal relationship between fatigue and CMD. Genetic variants associated with fatigue were identified through a GWAS, and summary statistics from the largest available GWAS were used to obtain variants associated with stroke, CAD, T2D, and HF. Inverse variance weighting (IVW) was conducted, with weighted median, MR-Egger, and MR-PRESSO as sensitivity analyses. Multivariable MR and mediation analysis were also employed. RESULTS Observational analyses indicated that individuals with fatigue had a significantly increased risk of developing stroke (HR 1.44, 95 % CI 1.27-1.63), T2D (HR 1.46, 95 % CI 1.41-1.51), CAD (HR 1.45, 95 % CI 1.4-1.5), and HF (HR 1.60, 95 % CI 1.52-1.68). Mendelian randomization analyses further supported a causal relationship. Additionally, observational and genetic analyses showed T2D was found to be associated with increased levels of fatigue. Mediation analysis identified lipid metabolites as mediators in the relationship between fatigue and CMD. CONCLUSION This study highlights a bidirectional relationship between fatigue and CMD, underscoring the importance of considering fatigue in the context of cardiometabolic health. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Keyu Bian
- Department of Neurology, Wujin TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Changzhou, Jiangsu, China; Department of Neurology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China
| | - Pan Zhang
- Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Gelin Xu
- Department of Neurology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China; Department of Neurology, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
| | - Wen Sun
- Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
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Howard MC, Murry AS. Is vital exhaustion distinct? A meta-analytic investigation on the immediate nomological network of vital exhaustion. J Health Psychol 2025:13591053251313583. [PMID: 39882720 DOI: 10.1177/13591053251313583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025] Open
Abstract
A multitude of studies have supported that vital exhaustion is an important predictor of physical and psychological well-being, especially in the aftermath of adverse medical events; however, some authors have expressed that vital exhaustion may be repetitive with other popular constructs, namely burnout, fatigue, and depression. We resolve this tension by performing a meta-analysis of 74 sources on the immediate nomological network of vital exhaustion. Our results support that the relations of vital exhaustion with emotional exhaustion (r ¯ = 0.71, ρ ¯ = 0.82, k = 4, n = 1152) and depression (r ¯ = 0.70, ρ ¯ = 0.83, k = 59, n = 30,963) approached the magnitude of its convergent validity correlation (r ¯ = 0.75, ρ ¯ = 0.88, k = 4, n = 1445), suggesting that these constructs share most of their variance. Researchers should reinvestigate whether vital exhaustion relates to outcomes when accounting for these two constructs.
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Affiliation(s)
| | - Allona S Murry
- The University of Mississippi, School of Business Administration, USA
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Liu P, Jing L, Guo F, Xu Y, Cheng J, Liu S, Liu L, Liu Z, Zhang K, Sun N. Characteristics of gut microbiota and its correlation with hs-CRP and somatic symptoms in first-episode treatment-naive major depressive disorder. J Affect Disord 2024; 356:664-671. [PMID: 38615845 DOI: 10.1016/j.jad.2024.04.011] [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: 12/08/2023] [Revised: 03/26/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE Most patients with major depressive disorder (MDD) have somatic symptoms, but little studies pay attention in the microbial-inflammatory mechanisms of these somatic symptoms. Our study aimed to investigate alterations in gut microbiota and its correlation with inflammatory marker levels and somatic symptoms in first-episode treatment-naive MDD. METHODS Subjects contained 160 MDD patients and 101 healthy controls (HCs). MDD patients were divided into MDD with somatic symptoms group (MDDS) and MDD without somatic symptoms group (MDDN) based on Somatic Self-rating Scale (SSS). 16S ribosomal RNA sequencing were performed to analyze the composition of the fecal microbiota. The inflammatory factors were measured using enzyme linked immunosorbent assay (ELISA). Correlation among the altered gut microbiota, inflammatory factor and severity of clinical symptoms were analysized. RESULTS Relative to HCs, MDD patients had higher levels of high-sensitivity C-reactive protein (hs-CRP) as well as disordered α-diversity and β-diversity of gut microbiota. Linear discriminant effect size (LEfSe) analysis showed that MDD patients had higher proportions of Bifidobacterium, Blautia, Haemophilus and lower proportions of Bacteroides, Faecalibacterium, Roseburia, Dialister, Sutterella, Parabacteroides, Bordetella, and Phascolarctobacterium from the genus aspect. Furthermore, correlation analysis showed Bacteroides and Roseburia had negative correlations with the hs-CRP, HAMD-24, the total and factor scores of SSS in all participants. Further, compared with MDDN, the Pielous evenness was higher in MDDS. Random Forest (RF) analysis showed 20 most important genera discriminating MDD-S and MDDN, HCs. The ROC analysis showed that the AUC was 0.90 and 0.81 combining these genera respectively. CONCLUSION Our study manifested MDD patients showed disordered gut microbiota and elevated hs-CRP levels, and altered gut microbiota was closely associated with hs-CRP, depressive symptoms, and somatic symptoms.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Lin Jing
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Fengtao Guo
- Shanxi Medical University, Taiyuan 030001, PR China
| | - Yunfan Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Junxiang Cheng
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Shasha Liu
- Shanxi Medical University, Taiyuan 030001, PR China
| | - Lixin Liu
- Shanxi Medical University, Taiyuan 030001, PR China; Experimental Center of Science and Research, The First Hospital of Shanxi Medical University, PR China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China.
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China.
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Qi X, Wang S, Qiu L, Chen X, Huang Q, Ouyang K, Chen Y. Causal association between self-reported fatigue and coronary artery disease: a bidirectional two-sample Mendelian randomization analysis. Front Psychiatry 2023; 14:1166689. [PMID: 37799396 PMCID: PMC10547863 DOI: 10.3389/fpsyt.2023.1166689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 09/04/2023] [Indexed: 10/07/2023] Open
Abstract
Background Observational studies have reported the association between fatigue and coronary artery disease (CAD), but the causal association between fatigue and CAD is unclear. Method We conducted a bidirectional Mendelian randomization (MR) study using publicly available genome-wide association studies (GWAS) data. The inverse-variance weighted (IVW) method was used as the primary analysis. We performed three complementary methods, including weighted median, MR-Egger regression, and MR pleiotropy residual sum and outlier (MR-PRESSO) to evaluate the sensitivity and horizontal pleiotropy of the results. Result Self-reported fatigue had a causal effect on coronary artery atherosclerosis (CAA) (OR 1.047, 95%CI 1.033-1.062), myocardial infarction (MI) (OR 1.027 95%CI 1.014-1.039) and coronary heart disease (CHD) (OR 1.037, 95%CI 1.021-1.053). We did not find a significant reverse causality between self-reported fatigue and CAD. Given the heterogeneity revealed by MR-Egger regression, we employed the IVW random effect model. For the examination of fatigue on CHD and the reverse analysis of CAA, and MI on fatigue, the MR-PRESSO test found horizontal pleiotropy. No significant outliers were found. Conclusion The MR analysis reveals a causal relationship between self-reported fatigue and CAD. The results should be interpreted with caution due to horizontal pleiotropy.
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Affiliation(s)
- Xiaoyi Qi
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
- Medical College, Shantou University, Shantou, China
| | - Shijia Wang
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Liangxian Qiu
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Xiongbiao Chen
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Qianwen Huang
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Kunfu Ouyang
- Department of Cardiovascular Surgery, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yanjun Chen
- Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China
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Mo D, Guo P, Hu S, Tao R, Zhong H, Liu H. Characteristics and correlation of gray matter volume and somatic symptoms in adolescent patients with depressive disorder. Front Psychiatry 2023; 14:1197854. [PMID: 37559918 PMCID: PMC10407247 DOI: 10.3389/fpsyt.2023.1197854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 08/11/2023] Open
Abstract
Background Adolescent patients with depressive disorders commonly exhibit somatic symptoms, which have a significant negative impact on their treatment and prognosis. Despite this, specific brain imaging characteristics of these symptoms have been poorly studied. Methods The Hamilton Depression Rating scale (HAMD-17), Children's Functional Somatization scale (CSI), and Toronto Alexithymia scale (TAS) were used to evaluate the clinical symptoms of adolescent depression. We analyzed the correlation between brain gray matter volume (GMV) and clinical symptoms in adolescent patients with depression and somatic symptoms. Results The depression subgroups with and without functional somatic symptoms (FSS) had higher scores on the HAMD-17, CSI, and TAS than the normal control group. The group with FSS had higher HAMD-17, CSI, and TAS scores than the depression group without FSS (p < 0.05). CSI and TAS scores were positively correlated (r = 0.378, p < 0.05). The GMV of the right supplementary motor area was higher in the depression groups with and without FSSs than in the normal control group, and the GMV was higher in the group without FSS than in the group with FSS (F = 29.394, p < 0.05). The GMV of the right supplementary motor area was negatively correlated with CSI in the depressed group with FSS (r = -0.376, p < 0.05). In the group with depression exhibiting FSS, CSI scores were positively correlated with GMV of the middle occipital gyrus (pr = 0.665, p = 0.0001), and TAS scores were positively correlated with GMV of the caudate nucleus (pr = 0.551, p = 0.001). Conclusion Somatic symptoms of adolescent depressive disorder are associated with alexithymia; moreover, somatic symptoms and alexithymia in adolescent patients with depressive disorders are correlated with GMV changes in different brain regions.
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Affiliation(s)
- Daming Mo
- Department of Psychiatry, Chao hu Hospital of Anhui Medical University, Hefei, China
- Department of Child and Adolescent Mental Disorder, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Mental Health Center, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Pengfei Guo
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
| | - Shuwen Hu
- Clinical Psychological Science, Anhui Provincial Children’s Hospital, Hefei, China
| | - Rui Tao
- Department of Psychiatry, Anhui Mental Health Center, Hefei, China
| | - Hui Zhong
- Department of Child and Adolescent Mental Disorder, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Mental Health Center, Hefei, China
| | - Huanzhong Liu
- Department of Psychiatry, Chao hu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
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7
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Sun N, Liu M, Liu P, Zhang A, Yang C, Liu Z, Li J, Li G, Wang Y, Zhang K. Abnormal cortical-striatal-thalamic-cortical circuit centered on the thalamus in MDD patients with somatic symptoms: Evidence from the REST-meta-MDD project. J Affect Disord 2023; 323:71-84. [PMID: 36395992 DOI: 10.1016/j.jad.2022.11.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/21/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Somatic symptoms are common comorbidities of major depressive disorder (MDD), and negatively impact the course and severity of the disease. In order to enrich the understanding of the pathological mechanism and clarify the neurobiological basis of somatic symptoms in depression, we attempted to explore the changes of brain structure and function in a large sample between depression with and without somatic symptoms. METHODS Structure magnetic resonance imaging (MRI) data were collected from 342 patients with somatic symptoms (SD), 208 patients without somatic symptoms (NSD), and 510 healthy controls (HCs) based on the REST-meta-MDD project. We analyzed the whole brain VBM maps of the three groups, and combined with weight degree centrality (DC) index, we investigated whether the brain regions with gray matter volume (GMV) and gray matter density (GMD) abnormalities in MDD patients with somatic symptoms had corresponding brain functional abnormalities. RESULTS Between depression with and without somatic symptoms, we found that there are extensive GMV and GMD differences involving cortical regions such as the temporal lobe, occipital lobe, and insula, as well as subcortical brain regions such as thalamus and striatum. The comparison results of weight DC signals of GMV and GMD abnormal clusters between the SD and NSD groups were basically consistent with the GMV and GMD abnormal clusters. CONCLUSION The results indicate that the structure and function of cortical-striatal-thalamic-cortical (CSTC) circuit centered on the thalamus were abnormal in MDD patients with somatic symptoms. This may be the neurobiological basis of somatic symptoms in MDD.
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Affiliation(s)
- Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Mental Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Min Liu
- Department of Psychosomatic, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Mental Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Jianying Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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Rekenyi V, Garbóczy S, Szemán-Nagy A, Al-Tammemi AB, Sayed-Ahmad M, Kolozsvári LR. The Effects and Differences of Social Support, Depression, and Vital Exhaustion during the COVID-19 Pandemic among International and Domestic University Students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1502. [PMID: 36674255 PMCID: PMC9862718 DOI: 10.3390/ijerph20021502] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Our study aimed to assess the differences between domestic and international students in terms of social support, vital exhaustion, and depression during the period of COVID-19 and to examine the relationships and potential effects of these factors on each other. METHODS The online cross-sectional survey was conducted via Google Forms® at three time intervals during the pandemic. RESULTS Here, 1320, 246, and 139 students completed our questionnaires in the different time intervals. The international students reported significantly lower values in terms of perceived social support. Concerning depression, the international female students reported higher values than the domestic female students. Significant correlations were found in both samples between vital exhaustion and depression, as well as between perceived social support and depression. CONCLUSION In this study, the international students reported lower levels of perceived social support and higher levels of depression, particularly among females. The correlations between depression, social support, and vital exhaustion might highlight protective and risk factors. These findings emphasize the importance of addressing social support and mental health among university students, especially among international students who have a difficult time finding social support during times of stress, such as during the COVID-19 pandemic.
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Affiliation(s)
- Viktor Rekenyi
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
- Department of Family and Occupational Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Szabolcs Garbóczy
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
- Department of Psychiatry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Anita Szemán-Nagy
- Department of Personality and Clinical Psychology, Institute of Psychology, University of Debrecen, 4032 Debrecen, Hungary
| | - Ala’a B. Al-Tammemi
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
- Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan
| | | | - László Robert Kolozsvári
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
- Department of Family and Occupational Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
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Yuan J, Yu H, Yu M, Liang X, Huang C, He R, Lei W, Chen J, Chen J, Tan Y, Liu K, Zhang T, Luo H, Xiang B. Altered spontaneous brain activity in major depressive disorder: An activation likelihood estimation meta-analysis. J Affect Disord 2022; 314:19-26. [PMID: 35750093 DOI: 10.1016/j.jad.2022.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/30/2022] [Accepted: 06/16/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Wide application of resting-state functional magnetic resonance imaging (fMRI) in psychiatric research has revealed that major depressive disorder (MDD) manifest abnormal neural activities in several brain regions involving key resting state networks. However, inconsistent results have hampered our understanding of the exact neuropathology associated with MDD. Therefore, our aim was to conduct a meta-analysis to identify the consistent vulnerable brain regions of MDD in resting state, and to reveal the potential pathogenesis of MDD. METHODS A systematic review analysis was conducted on studies involving brain resting-state changes in MDD using low-frequency amplitude (ALFF), fractional low-frequency amplitude (fALFF) and regional homogeneity (ReHo) analysis. The meta-analysis was based on the activation likelihood estimation method, using the software of Ginger ALE 2.3. RESULTS 25 studies (892 MDD and 799 healthy controls) were included. Based on the meta-analysis results of ReHo, we found robust reduction of resting-state spontaneous brain activity in MDD, including the left cuneus and right middle occipital gyrus (cluster size = 216, 256 mm3, uncorrected P < 0.0001), while no increased spontaneous activation in any of the brain regions. We also found reduced ALFF in the left middle occipital gyrus (cluster size = 224 mm3, uncorrected P < 0.0001), and no increased spontaneous brain activation in any regions. CONCLUSION Our meta-analysis study using the activation likelihood estimation method demonstrated that MDD showed significant abnormalities in spontaneous neural activity, compared with healthy controls, mainly in areas associated with visual processing, such as the cuneus and the middle occipital gyrus. Dysfunction of these brain regions may be one of the pathogenesis of MDD.
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Affiliation(s)
- Jixiang Yuan
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Hua Yu
- Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Minglan Yu
- Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Xuemei Liang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Chaohua Huang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Rongfang He
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Wei Lei
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Jing Chen
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Jianning Chen
- School of Pharmacy, Southwest Medical University, Luzhou, Sichuan Province, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan Province, China
| | - Youguo Tan
- Mental Health Research Center, Zigong Mental Health Center, Zigong, Sichuan Province, China; Mental Health Research Center, Zigong Institute of Brain Science, Zigong, Sichuan Province, China
| | - Kezhi Liu
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Tao Zhang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
| | - Huairong Luo
- School of Pharmacy, Southwest Medical University, Luzhou, Sichuan Province, China.
| | - Bo Xiang
- Department of Psychiatry, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China; Mental Health Research Center, Zigong Institute of Brain Science, Zigong, Sichuan Province, China; Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou, Sichuan Province, China.
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Simeonova D, Paunova R, Stoyanova K, Todeva-Radneva A, Kandilarova S, Stoyanov D. Functional MRI Correlates of Stroop N-Back Test Underpin the Diagnosis of Major Depression. J Integr Neurosci 2022; 21:113. [PMID: 35864765 DOI: 10.31083/j.jin2104113] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/30/2022] [Accepted: 05/31/2022] [Indexed: 08/01/2024] Open
Abstract
INTRODUCTION In the current study, we used the Stroop Color and Word Test (SCWT) combined with an n-back component in functional magnetic resonance imaging (fMRI) in order to activate the working memory and cognitive interference in patients with Major Depressive Disorder (MDD) as compared to healthy controls. Our hypothesis was that there would be significant alterations in the selective visual attention processing regions of the brain which may identify mechanisms underlying major depression. MATERIALS AND METHODS Fifty participants, of which 24 were patients with depression and 26 healthy controls were recruited. RESULTS The first major finding of the current study was hypoactivation in the lingual gyrus during the condition with instructions to track the sequence of the words (word>color) of the Stroop n-back task and hyperactivation of the same structure in the opposite (color>word) condition where subjects had to focus on the order of the word color in depressed patients as compared to healthy controls. CONCLUSIONS Changes in these regions have been consistently reported across studies with different fMRI techniques in both adolescent and adult patients with MDD reinforcing the role of the region in the pathophysiology of depression. Further studies are needed to examine possible longitudinal changes in the region and its activity in remission.
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Affiliation(s)
- Denitsa Simeonova
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
| | - Kristina Stoyanova
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
| | - Anna Todeva-Radneva
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
| | - Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology and Research Institute, Medical University Plovdiv, 4002 Tsentar, Plovdiv, Bulgaria
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11
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Chen X, Lu B, Li HX, Li XY, Wang YW, Castellanos FX, Cao LP, Chen NX, Chen W, Cheng YQ, Cui SX, Deng ZY, Fang YR, Gong QY, Guo WB, Hu ZJY, Kuang L, Li BJ, Li L, Li T, Lian T, Liao YF, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wang ZH, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, Yan CG, Chen X, Cao LP, Chen W, Cheng YQ, Fang YR, Gong QY, Guo WB, Kuang L, Li BJ, Li T, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, et alChen X, Lu B, Li HX, Li XY, Wang YW, Castellanos FX, Cao LP, Chen NX, Chen W, Cheng YQ, Cui SX, Deng ZY, Fang YR, Gong QY, Guo WB, Hu ZJY, Kuang L, Li BJ, Li L, Li T, Lian T, Liao YF, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wang ZH, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, Yan CG, Chen X, Cao LP, Chen W, Cheng YQ, Fang YR, Gong QY, Guo WB, Kuang L, Li BJ, Li T, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, Yan CG. The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder. PSYCHORADIOLOGY 2022; 2:32-42. [PMID: 38665141 PMCID: PMC10917197 DOI: 10.1093/psyrad/kkac005] [Show More Authors] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/06/2022] [Accepted: 05/06/2022] [Indexed: 02/05/2023]
Abstract
Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, the Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with a standardized pipeline across all participating sites, has been the first effort from DIRECT. In this review, we present an overview of the motivations, rationale, and principal findings of the studies so far from the REST-meta-MDD project. Findings from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network, in whole-brain topological properties, in dynamic features, and in functional lateralization. These well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven research. Following these fruitful explorations, DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations. A state-of-the-art, surface-based preprocessing pipeline has also been introduced to improve sensitivity. Functional images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diagnosis boundaries. In addition, large-scale longitudinal studies targeting brain network alterations following antidepressant treatment, aggregation of diffusion tensor images, and the development of functional magnetic resonance imaging-guided neuromodulation approaches are underway. Through these endeavours, we hope to accelerate the translation of functional neuroimaging findings to clinical use, such as evaluating longitudinal effects of antidepressant medications and developing individualized neuromodulation targets, while building an open repository for the scientific community.
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Affiliation(s)
- Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences , Beijing 100049, China
| | - Bin Lu
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Hui-Xian Li
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences , Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences , Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences , Beijing 101408, China
| | - Yu-Wei Wang
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine , New York, NY 10016, USA
- Nathan Kline Institute for Psychiatric Research , Orangeburg, New York, NY 10962, USA
| | - Li-Ping Cao
- Affiliated Brain Hospital of Guangzhou Medical University , Guangzhou 510370, China
| | | | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine , Hangzhou 310020, Zhejiang, China
| | - Yu-Qi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University , Kunming, Yunnan 650032, China
| | - Shi-Xian Cui
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Sino-Danish College, University of Chinese Academy of Sciences , Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences , Beijing 101408, China
| | - Zhao-Yu Deng
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Yi-Ru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine , Shanghai 200030, China
| | - Qi-Yong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University , Chengdu, Sichuan 610044, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences , Chengdu, Sichuan 610052, China
| | - Wen-Bin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Zheng-Jia-Yi Hu
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University , Chongqing 400042, China
| | - Bao-Juan Li
- Xijing Hospital of Air Force Military Medical University , Xi'an, Shaanxi 710032, China
| | - Le Li
- Center for Cognitive Science of Language, Beijing Language and Culture University , Beijing 100083, China
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine , Hangzhou, Zhejiang 310063, China
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University , Chengdu, Sichuan 610044, China
| | - Tao Lian
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Yi-Fan Liao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University , Suzhou, Jiangsu 215003, China
| | - Zhe-Ning Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Jian-Ping Lu
- Shenzhen Kangning Hospital , Shenzhen, Guangzhou 518020, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University , Chongqing 400042, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University , Chongqing 400042, China
| | - Dai-Hui Peng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine , Shanghai 200030, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University , Chongqing 400715, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School , Hangzhou, Zhejiang 311121, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University) , Beijing 100191, China
| | - Yan-Qing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University , Shenyang, Liaoning 110122, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University , Beijing 100120, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University , Shenyang, Liaoning 110122, China
- Early Intervention Unit, Department of Psychiatry , Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210024, China
| | - Hua-Ning Wang
- Xijing Hospital of Air Force Military Medical University , Xi'an, Shaanxi 710032, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University , Hefei, Anhui 230022, China
| | - Xiang Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University , Guangzhou, Guangdong 250024, China
| | - Zi-Han Wang
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital , Xi'an, Shaanxi 710004, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University , Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University , Chongqing 400016, China
- Chongqing Key Laboratory of Neurobiology , Chongqing 400000, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University , Chongqing 400042, China
| | - Xiu-Feng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University , Kunming, Yunnan 650032, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University , Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- Chongqing Key Laboratory of Neurobiology , Chongqing 400000, China
| | - Shu-Qiao Yao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Yong-Qiang Yu
- The First Affiliated Hospital of Anhui Medical University , Hefei, Anhui 230032, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University , Nanjing, Jiangsu 210009, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University , Taiyuan, Shanxi 030001, China
| | - Wei Zhang
- West China Hospital of Sichuan University , Chengdu, Sichuan 610044, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University , Nanjing, Jiangsu 210009, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine , Shanghai 200025, China
| | - Xi-Nian Zuo
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100091, China
- National Basic Science Data Center , Beijing 100038, China
| | - Jing-Ping Zhao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University , Changsha 410011, Hunan, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang 310018, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, Zhejiang 310000, China
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences , Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences , Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences , Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences , Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences , Beijing 101408, China
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Guo XJ, Xiong YB, Jia Y, Cui XH, Wu WZ, Tian JS, Yang H, Ren Y. Altered Metabolomics in Bipolar Depression With Gastrointestinal Symptoms. Front Psychiatry 2022; 13:861285. [PMID: 35686183 PMCID: PMC9170992 DOI: 10.3389/fpsyt.2022.861285] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Although gastrointestinal (GI) symptoms are very common in patients with bipolar disorder (BD), Few studies have researched the pathomechanism behind these symptoms. In the present study, we aim at elucidate the pathomechanism of GI symptoms in BD through metabolomic analysis. METHOD BD patients were recruited from Shanxi Bethune Hospital that divided into two groups, each group assessed with the 24-item Hamilton Depression Rating Scale (HAMD-24) according to the presence or absence of GI symptoms. Healthy controls were recruited from the medical examination center of the same hospital. Differential metabolites were identified and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways. RESULTS There were significantly higher HAMD-24 scores in the GI symptoms group than that of non-GI symptoms group (p = 0.007). Based on metabolomic analysis results, we found that the common disturbances metabolic pathway of both two patients groups was ketone body metabolism, and the unique disturbances metabolic pathways of BD with GI symptoms were fatty acid biosynthesis and tyrosine metabolism, and these changes were independent of dietary habits. CONCLUSION BD patients with GI symptoms exhibited disturbances in fatty acid and tyrosine metabolism, perhaps suggesting that the GI symptoms in BD patients are related to disturbances of the gut microbiome. Both groups of patients jointly exhibit disturbances of ketone body metabolism, which may serve as a biomarker for the pathogenesis of BD patients.
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Affiliation(s)
- Xiang-Jie Guo
- Department of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Yan-Bing Xiong
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Jia
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Hong Cui
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wen-Ze Wu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,The Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan, China
| | - Jun-Sheng Tian
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.,The Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan, China
| | - Hong Yang
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Ren
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, Taiyuan, China
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13
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Liu PH, Li Y, Zhang AX, Sun N, Li GZ, Chen X, Bai TJ, Bo QJ, Chen GM, Chen NX, Chen TL, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Guo WB, Hou ZH, Hu L, Kuang L, Li F, Li KM, Li T, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zhang H, Zhang L, Zhang ZJ, Zhou RB, Zhou YT, Zhu JJ, Zou CJ, Si TM, Zuo XN, Yan CG, Zhang KR. Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110386. [PMID: 34119573 DOI: 10.1016/j.pnpbp.2021.110386] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE While gastrointestinal (GI) symptoms are very common in patients with major depressive disorder (MDD), few studies have investigated the neural basis behind these symptoms. In this study, we sought to elucidate the neural basis of GI symptoms in MDD patients by analyzing the changes in regional gray matter volume (GMV) and gray matter density (GMD) in brain structure. METHOD Subjects were recruited from 13 clinical centers and categorized into three groups, each of which is based on the presence or absence of GI symptoms: the GI symptoms group (MDD patients with at least one GI symptom), the non-GI symptoms group (MDD patients without any GI symptoms), and the healthy control group (HCs). Structural magnetic resonance images (MRI) were collected of 335 patients in the GI symptoms group, 149 patients in the non-GI symptoms group, and 446 patients in the healthy control group. The 17-item Hamilton Depression Rating Scale (HAMD-17) was administered to all patients. Correlation analysis and logistic regression analysis were used to determine if there was a correlation between the altered brain regions and the clinical symptoms. RESULTS There were significantly higher HAMD-17 scores in the GI symptoms group than that of the non-GI symptoms group (P < 0.001). Both GMV and GMD were significant different among the three groups for the bilateral superior temporal gyrus, bilateral middle temporal gyrus, left lingual gyrus, bilateral caudate nucleus, right Fusiform gyrus and bilateral Thalamus (GRF correction, cluster-P < 0.01, voxel-P < 0.001). Compared to the HC group, the GI symptoms group demonstrated increased GMV and GMD in the bilateral superior temporal gyrus, and the non-GI symptoms group demonstrated an increased GMV and GMD in the right superior temporal gyrus, right fusiform gyrus and decreased GMV in the right Caudate nucleus (GRF correction, cluster-P < 0.01, voxel-P < 0.001). Compared to the non-GI symptoms group, the GI symptoms group demonstrated significantly increased GMV and GMD in the bilateral thalamus, as well as decreased GMV in the bilateral superior temporal gyrus and bilateral insula lobe (GRF correction, cluster-P < 0.01, voxel-P < 0.001). While these changed brain areas had significantly association with GI symptoms (P < 0.001), they were not correlated with depressive symptoms (P > 0.05). Risk factors for gastrointestinal symptoms in MDD patients (p < 0.05) included age, increased GMD in the right thalamus, and decreased GMV in the bilateral superior temporal gyrus and left Insula lobe. CONCLUSION MDD patients with GI symptoms have more severe depressive symptoms. MDD patients with GI symptoms exhibited larger GMV and GMD in the bilateral thalamus, and smaller GMV in the bilateral superior temporal gyrus and bilateral insula lobe that were correlated with GI symptoms, and some of them and age may contribute to the presence of GI symptoms in MDD patients.
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Affiliation(s)
- Peng-Hong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Yan Li
- Department of Clinical Medicine, Fenyang College of Shanxi Medical University, 032200, China
| | - Ai-Xia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Gai-Zhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Department of First Clinical Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Tong-Jian Bai
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Ning-Xuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Tao-Lin Chen
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310012, China
| | - Chang Cheng
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Xi-Long Cui
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Department of Radiology, Huaxi MR Research Center,West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Wen-Bin Guo
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Zheng-Hua Hou
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Feng Li
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Kai-Ming Li
- Department of Radiology, Huaxi MR Research Center,West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Zhe-Ning Liu
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yi-Cheng Long
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang 311121, China
| | - Yu-Shu Shi
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xiang Wang
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an, Shannxi 710003, China
| | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing, 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiu-Feng Xu
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Jia-Shu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310012, China
| | - Shu-Qiao Yao
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shannxi 710003, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xi-Nian Zuo
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100054, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100054, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100054, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100054, China; Department of Child and Adolescent Psychiatry, NYU Langone Medical Center School of Medicine, New York, NY 10016, USA
| | - Ke-Rang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
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Abstract
Background Although it is well acknowledged that psychosocial risk factors (PSRF) such as low socio-economic status, stress, social isolation, negative emotions and negative personality patterns may contribute to the development and adverse outcome of cardiovascular disease (CVD), screening for PSRF in CVD patients is usually limited to anxiety and depression, mainly for feasibility reasons. We therefore aimed to develop a user-friendly screening battery for routine assessment of PSRFs and to evaluate this instrument regarding feasibility of application, PSRF results and attendance of psychological counselling if recommended to cardiac rehabilitation (CR) patients. Methods This is a prospective single center cohort study including 609 consecutive CR patients. We first developed a screening instrument based on seven validated scales for the most relevant PSRFs with totally 90 questions presented in a uniform graphical design to facilitate completion called Psychocardiogram® (PCG) and applied the instrument in consecutive patients attending CR. Patients with positive screening results were invited to a psychological counseling session. Results Six hundred and nine consecutive patients, aged 34 to 86 years (mean 60.7 years), 85% men, entering the CR program at the Bern University Hospital with ischemic heart failure (CHF), coronary artery disease (CAD) or peripheral artery disease, were included in this study. Eighty-three point three percent of the patients completed the PCG within 40 minutes. Vital exhaustion and Type-D personality were the most prevalent PSRFs (56.9% and 51.1%, respectively), whereas low social support (14.4%) and elevated depressive symptoms (15.9%), were the least prevalent ones. After screening, 120 patients (52.86%) with at least one PSRF made use of psychological counseling. Conclusions We found the PCG to be a useful screening tool for PSRF in CR patients with the potential to get new insights into the prevalence of particular PSRF in specific populations and to better study their impact on occurrence and outcome of CVD.
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15
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Functional abnormalities in first-episode major depressive disorder with somatic pain. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2020. [DOI: 10.1016/j.jadr.2020.100029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
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Liu P, Li G, Zhang A, Yang C, Liu Z, Sun N, Kerang Z. Brain structural and functional alterations in MDD patient with gastrointestinal symptoms: A resting-state MRI study. J Affect Disord 2020; 273:95-105. [PMID: 32421626 DOI: 10.1016/j.jad.2020.03.107] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/30/2020] [Accepted: 03/28/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE It is common for major depressive disorder (MDD) to be accompanied by gastrointestinal (GI) symptoms, which are known to negatively impact the course and severity of the disease. Although previous studies have attempted to explore the neuropathology of MDD, few studies have focused on the pathogenesis of GI symptoms in MDD. In this study, we investigated the changes in regional gray matter volume (GMV) and regional homogeneity (ReHo) present in MDD accompanied by GI symptoms. METHOD The following images were obtained and analyzed: Structural and functional magnetic resonance images (MRI) of 36 patients with MDD accompanied by GI symptoms (GI symptoms group), 22 patients without GI symptoms (Non-GI symptoms group), and 27 healthy controls (HC. The 24-item Hamilton Depression Rating Scale (HAMD) was administered. A correlation analysis was used to identify the possible associations between altered regional GMV, ReHo symptoms, GI symptoms, and depressive symptoms. RESULTS The total scores from the HAMD-24 in the GI symptoms group were significantly higher than in the Non-GI symptoms group (P<0.05). Significant differences in both GMV and ReHo were observed among the three groups for the right parahippocampal gyrus, left precentral gyrus, left middle frontal gyrus, right superior frontal gyrus, right middle frontal gyrus, and left inferior orbitofrontal gyrus (AlphaSim correction, P <0.001). The GI symptoms group exhibited significantly decreased GMV and ReHo in the left middle frontal gyrus, precentral gyrus, right superior frontal gyrus, and middle frontal gyrus. Additionally, the GI symptoms group exhibited increased ReHo in the left superior temporal gyrus at a higher level than the non-GI symptoms group. (AlphaSim correction, P <0.001). These altered brain areas were correlated with GI symptoms (P<0.001) but not depressive symptoms (P>0.05). CONCLUSION Patients with MDD accompanied by GI symptoms have more severe depressive symptoms. The structural and functional changes of the brain may be the pathogenesis for the GI symptoms in patients with MDD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001; Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhang Kerang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
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17
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Reichardt LA, Nederveen FE, van Seben R, Aarden JJ, van der Schaaf M, Engelbert RHH, van der Esch M, Twisk JWR, Bosch JA, Buurman BM. The longitudinal association between depressive symptoms and functional abilities in older patients. J Psychosom Res 2020; 137:110195. [PMID: 32731046 DOI: 10.1016/j.jpsychores.2020.110195] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/18/2020] [Accepted: 07/19/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To investigate the course of depressive symptoms, and basic and instrumental activities of daily living (collectively described as, (I)ADL functioning) from acute admission until one year post-discharge, the longitudinal association between depressive symptoms and (I)ADL functioning, and to disaggregate between- and within-person effects to examine whether changes in depressive symptoms are associated with changes in (I)ADL functioning. METHODS Prospective multicenter cohort of acutely hospitalized patients aged ≥70. Data gathered over a one-year period were assessed using validated measures of depressive symptoms (GDS-15) and physical functioning (Katz-ADL index). A Poisson mixed model analysis was used to examine the association between the courses and a hybrid model was used to disentangle between- and within-subject effects. RESULTS The analytic sample included 398 patients (mean age = 79.6 years, SD = 6.6). Results showed an improvement in depressive symptoms and physical functions over time, whereby changes in depressive symptoms were significantly associated with the course of ADL function (rate ratio (RR) = 0.91, p < .001) and IADL function (RR = 0.94, p < .001), even after adjustment for confounding variables. Finally, both between- and within-person effects of depressive symptoms were significantly associated with the course of ADL function (between-person: RR = 0.85, p < .001; within-person: RR = 0.94, p < .001) and IADL function (between-person: RR = 0.87, p < .001; within-person: RR = 0.97, p < .001). CONCLUSION The course of depressive symptoms and physical functions improved over time, whereby changes in depressive symptoms were significantly associated with changes in physical functions, both at group and individual level. These changes in (I)ADL functioning lie mostly above the estimated minimally important change for both scales, implying clinically relevant changes.
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Affiliation(s)
- Lucienne A Reichardt
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Floor E Nederveen
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Rosanne van Seben
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Jesse J Aarden
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands.
| | - Marike van der Schaaf
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Raoul H H Engelbert
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands.
| | - Martin van der Esch
- ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands; Reade, Center for Rehabilitation and Rheumatology/Amsterdam Rehabilitation Research Center, Amsterdam, the Netherlands.
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Jos A Bosch
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychology, Section of Psychology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands..
| | - Bianca M Buurman
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands.
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Mao N, Che K, Chu T, Li Y, Wang Q, Liu M, Ma H, Wang Z, Lin F, Wang B, Ji H. Aberrant Resting-State Brain Function in Adolescent Depression. Front Psychol 2020; 11:1784. [PMID: 32903315 PMCID: PMC7396538 DOI: 10.3389/fpsyg.2020.01784] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 06/29/2020] [Indexed: 12/11/2022] Open
Abstract
To explore the changes of brain function and conduct clinical differential diagnosis based on support vector machine (SVM) in adolescent patients with depression. A total of 24 adolescent patients with depression according to CCMD-3 and DSM-5 and 23 gender, education level, body mass index, and age matched healthy controls were assessed with 17-item Hamilton Depression Rating Scale (HAMD). HAMD scores were requested from ≥17 of patients. Three−dimensional T1 and resting-state functional magnetic resonance imaging data were acquired from all participants. The data were analyzed using SPM 12 and REST1.8. Two-sample t-test was conducted to compare regional homogeneity (ReHo) values among the groups of participants. Finally, based on SVM classification, clinical differential diagnosis of the patients was carried out. The receiver operator characteristic (ROC) curve were used to confirm the performance of the SVM model. An increase ReHo values were observed in the lingual gyrus, middle occipital gyrus, postcentral gyrus, and precentral gyrus, whereas a decrease in ReHo was found in vermis compared with the control group. The SVM model showed good performance in classification prediction of adolescent depression, with an area under curve (AUC) of 0.778 [95% confidence interval (CI), 0.661–0.797]. The changes in the spontaneous neural activity of these regions may play an important role in the neuropathological mechanism of adolescent depression and may provide promising markers for clinical evaluation.
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Affiliation(s)
- Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Kaili Che
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Tongpeng Chu
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Yuna Li
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Qinglin Wang
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Meijie Liu
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Zhongyi Wang
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Fan Lin
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Bin Wang
- Medical Imaging Research Institute, Binzhou Medical University, Yantai, China
| | - Haixia Ji
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
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Euteneuer F, Neubert M, Salzmann S, Unruh I, von Eitzen L, Wilhelm M. Der Einfluss von kognitiver Verhaltenstherapie auf biologische Risikofaktoren kardiovaskulärer Erkrankungen bei der Major Depression: Eine systematische Übersichtsarbeit. VERHALTENSTHERAPIE 2020. [DOI: 10.1159/000505275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Hopelessness and Other Depressive Symptoms in Adults 70 Years and Older as Predictors of All-Cause Mortality Within 3 Months After Acute Hospitalization: The Hospital-ADL Study. Psychosom Med 2019; 81:477-485. [PMID: 30985404 DOI: 10.1097/psy.0000000000000694] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Depression among older adults predicts mortality after acute hospitalization. Depression is highly heterogeneous in its presentation of symptoms, whereas individual symptoms may differ in predictive value. This study aimed to investigate the prevalence of individual cognitive-affective depressive symptoms during acute hospitalization and investigate the predictive value of both overall and individual cognitive-affective depressive symptoms for mortality between admission up to 3-month postdischarge among older patients. METHODS A prospective multicenter cohort study enrolled 401 acutely hospitalized patients 70 years and older (Hospitalization-Associated Disability and impact on daily Life Study). The predictive value of depressive symptoms, assessed using the Geriatric Depression Scale 15, during acute hospitalization on mortality was analyzed with multiple logistic regression. RESULTS The analytic sample included 398 patients (M (SD) = 79.6 (6.6) years; 51% men). Results showed that 9.3% of participants died within 3 months, with symptoms of apathy being most frequently reported. The depression total score during hospitalization was associated with increased mortality risk (admission: odds ratio [OR] = 1.2, 95% confidence interval [CI] = 1.2-1.3; discharge: OR = 1.2, 95% CI = 1.2-1.4). Stepwise multiple logistic regression analyses yielded the finding that feelings of hopelessness during acute hospitalization were a strong unique predictor of mortality (admission: OR = 3.6, 95% CI = 1.8-7.4; discharge: OR = 5.7, 95% CI = 2.5-13.1). These associations were robust to adjustment for demographic factors, somatic symptoms, and medical comorbidities. CONCLUSIONS Symptoms of apathy were most frequently reported in response to acute hospitalization. However, feelings of hopelessness about their situation were the strongest cognitive-affective predictor of mortality. These results imply that this item is important in identifying patients who are in the last phase of their lives and for whom palliative care may be important.
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21
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Reichardt LA, van Seben R, Aarden JJ, van der Esch M, van der Schaaf M, Engelbert RHH, Twisk JWR, Bosch JA, Buurman BM. Trajectories of cognitive-affective depressive symptoms in acutely hospitalized older adults: The hospital-ADL study. J Psychosom Res 2019; 120:66-73. [PMID: 30929710 DOI: 10.1016/j.jpsychores.2019.03.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/07/2019] [Accepted: 03/08/2019] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To identify trajectories of cognitive-affective depressive symptoms among acutely hospitalized older patients and whether trajectories are related to prognostic baseline factors and three-month outcomes such as functional decline, falls, unplanned readmissions, and mortality. METHODS Prospective multicenter cohort of acutely hospitalized patients aged ≥ 70. Depressive trajectories were based on Group Based Trajectory Modeling, using the Geriatric Depression Scale-15. Outcomes were functional decline, falls, unplanned readmission, and mortality within three months post-discharge. RESULTS The analytic sample included 398 patients (mean age = 79.6 years; SD = 6.6). Three distinct depressive symptoms trajectories were identified: minimal (63.6%), mild persistent (25.4%), and severe persistent (11.0%). Unadjusted results showed that, compared to the minimal symptoms group, the mild and severe persistent groups showed a significantly higher risk of functional decline (mild: OR = 3.9, p < .001; severe: OR = 3.0, p = .04), falls (mild: OR = 2.0, p = .02; severe: OR = 6.0, p < .001), and mortality (mild: OR = 2.2, p = .05; severe: OR = 3.4, p = .009). Patients with mild or severe persistent symptoms were more malnourished, anxious, and functionally limited and had more medical comorbidities at admission. CONCLUSION Nearly 40% of the acutely hospitalized older adults exhibited mild to severe levels of cognitive-affective depressive symptoms. In light of the substantially elevated risk of serious complications and the fact that elevated depressive symptoms was not a transient phenomenon identification of these patients is needed. This further emphasizes the need for acute care hospitals, as a point of engagement with older adults, to develop discharge or screening procedures for managing cognitive-affective depressive symptoms.
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Affiliation(s)
- Lucienne A Reichardt
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Rosanne van Seben
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Jesse J Aarden
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
| | - Martin van der Esch
- ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands; Reade, Center for Rehabilitation and Rheumatology/Amsterdam Rehabilitation Research Center, Amsterdam, The Netherlands.
| | - Marike van der Schaaf
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Raoul H H Engelbert
- Department of Rehabilitation, Amsterdam Movement Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Jos A Bosch
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands; Department of Psychology, Section of Psychology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Bianca M Buurman
- Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; ACHIEVE - Center of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
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22
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Altered regional homogeneity in patients with somatic depression: A resting-state fMRI study. J Affect Disord 2019; 246:498-505. [PMID: 30599374 DOI: 10.1016/j.jad.2018.12.066] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 11/27/2018] [Accepted: 12/20/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND Somatic symptoms are common among patients with major depressive disorder (MDD), and are known to negatively impact the course and severity of the disease. Although previous studies have attempted to explore the neuropathology of MDD, little is known regarding the neural basis of somatic symptoms in MDD. METHODS Resting-state functional magnetic resonance images of 28 MDD patients with somatic symptoms (somatic depression, SD), 30 patients without somatic symptoms (non-somatic depression, NSD) and 30 healthy controls (HC) were obtained. We investigated the neural basis of MDD with somatic symptoms based on the measure of regional homogeneity (ReHo). We also investigated whether the altered regional homogeneity may be correlated to any clinical features of depression. These comparison were also carried out in female and male subjects respectively. RESULTS The SD exhibited higher ReHo in the bilateral parahippocampus and left lingual gyrus than HC, as well as lower ReHo in the right frontal gyrus. Relative to NSD, the SD exhibited lower ReHo in the right middle frontal gyrus and left precentral gyrus. Furthermore, in the SD, ReHo in the left precentral gyrus was positively correlated with cognitive factor scores of the HAMD-17. In female subjects, SD exhibited increased ReHo in the right STG and decreased ReHo in the right MFG, relative to women of the NSD group. CONCLUSIONS Our preliminary findings indicated that abnormal ReHo in the frontal and temporal regions may play an important role in the neural basis of somatic depression.
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23
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Islamoska S, Ishtiak-Ahmed K, Hansen ÅM, Grynderup MB, Mortensen EL, Garde AH, Gyntelberg F, Prescott EIB, Török E, Waldemar G, Nabe-Nielsen K. Vital Exhaustion and Incidence of Dementia: Results from the Copenhagen City Heart Study. J Alzheimers Dis 2019; 67:369-379. [PMID: 30584138 PMCID: PMC6398840 DOI: 10.3233/jad-180478] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND Psychological distress is potentially linked to the risk of dementia through neurologic and cardiovascular mechanisms. Vital exhaustion (VE) is a mental state of psychological distress, which could be a risk factor for dementia. OBJECTIVE To investigate whether VE is a risk factor for dementia in later life. METHODS We used data from 6,807 participants attending the third survey of the Copenhagen City Heart Study in 1991-1994. VE was assessed by 17 symptoms (score: 0-17) from the Maastricht Questionnaire. Information on dementia was obtained from national registers. Risk time for dementia was counted from five years after VE assessment for participants > 55 years at the time of VE assessment. For younger participants, risk time for dementia was counted from the year they turned 60 years and onwards. Participants were followed until 2016. We used Poisson regression to calculate incidence rate ratios (IRR) and their 95% confidence intervals (CI). RESULTS During an average follow-up of 10 years, 872 participants were registered with dementia. We found a dose-response relation between the number of VE symptoms and the incidence of dementia. For every additional VE symptom, the dementia incidence increased by 2% (IRR = 1.024; 95% CI: 1.004-1.043). Adjustment for socio-demographic and health-related factors did not change the results substantially. Neither did stratification by age, sex, educational level, and marital status. CONCLUSION We found evidence that VE is a risk factor for dementia. Our sensitivity analyses supported that this association was not only due to VE being a potential prodromal sign of dementia.
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Affiliation(s)
- Sabrina Islamoska
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Kazi Ishtiak-Ahmed
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Åse Marie Hansen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | | | - Erik Lykke Mortensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Anne Helene Garde
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Finn Gyntelberg
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | | | - Eszter Török
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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Vital exhaustion and risk of alcohol use disorders: A prospective cohort study. J Psychosom Res 2018; 114:25-30. [PMID: 30314575 DOI: 10.1016/j.jpsychores.2018.09.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 09/05/2018] [Accepted: 09/06/2018] [Indexed: 01/14/2023]
Abstract
OBJECTIVE Vital exhaustion is an emotional state characterized by fatigue and depressive symptoms. We examined the prospective association between vital exhaustion and risk of alcohol use disorders (AUD). Furthermore, we investigated whether cohabitation status modifies the effect of this potential association. METHODS Vital exhaustion was assessed by a condensed, 17 item, version of the Maastricht Questionnaire as part of the Copenhagen City Heart Study in 1991-93. The study population consisted of 8956 individuals aged 21-93 years, who were followed for a first-time diagnosis of AUD in national registers until 2016. The mean length of follow-up was 16.6 years. RESULTS During follow-up, AUD was diagnosed in 146 men and 103 women. For both sexes, the risk of AUD increased dose-dependently with increasing vital exhaustion. Individuals who reported high vital exhaustion had a 2- to 3-fold higher risk of AUD in both men (HR = 2.46, 95% CI: 1.40-4.29) and women (HR = 3.34, 95% CI: 1.62-6.85). A potential modifying effect of cohabitation status on the relation between vital exhaustion and AUD was found for men. CONCLUSION The results showed that vital exhaustion is significantly associated with a higher risk of AUD in both men and women and that living with a cohabitee may have a protective effect among men.
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Vital Exhaustion and Depression: A Reply to Bianchi and Colleagues. Psychosom Med 2017; 79:836-837. [PMID: 28846995 DOI: 10.1097/psy.0000000000000501] [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: 11/25/2022]
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Abstract
OBJECTIVE The construct of vital exhaustion has been identified as a potential independent psychological risk factor for incident and recurrent coronary heart disease (CHD). Despite several decades of research, no systematic review or meta-analysis has previously attempted to collate the empirical evidence in this field. The purpose of this study was to review and quantify the impact of vital exhaustion on the development and progression of CHD. METHODS Prospective and case-control studies reporting vital exhaustion at baseline and CHD outcomes at follow-up were derived from PubMed, PsycINFO (1980 to July 2015; articles in English and published articles only), and bibliographies. Information on aim, study design, sample size, inclusion and exclusion criteria, assessment methods of psychological risk factors, and results of crude and adjusted regression analyses were abstracted independently by two authors. RESULTS Thirteen prospective (n = 52,636) and three case-control (cases, n = 244; controls, n = 457) studies assessed vital exhaustion and could be summarized in meta-analyses. The pooled adjusted risk of CHD in healthy populations was 1.50 (95% confidence interval [CI] = 1.22-1.85) for prospective studies, and 2.61 (95% CI = 1.66-4.10) for case-control studies using hospital controls. Risk of recurrent events in patients with CHD was 2.03 (95% CI = 1.54-2.68). The pooled adjusted risk of chronic heart failure in healthy populations was 1.37 (95% CI = 1.21-1.56), but this was based on results from only two studies. CONCLUSIONS Vital exhaustion is associated with increased risk of incident and recurrent CHD.
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Anxiety and anger immediately prior to myocardial infarction and long-term mortality: Characteristics of high-risk patients. J Psychosom Res 2017; 93:19-27. [PMID: 28107888 PMCID: PMC5260840 DOI: 10.1016/j.jpsychores.2016.12.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 11/22/2016] [Accepted: 12/01/2016] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Acute high levels of anger and anxiety are associated with an elevated risk of myocardial infarction (MI) in the following two hours. MIs preceded by these acute negative emotions may also have a poor long-term prognosis, but information about high-risk patients is lacking. We examined whether young age and female sex are associated with MIs that are preceded by negative emotions and whether age and sex moderate the subsequent increased mortality risk following MI preceded by negative emotions. METHODS We conducted a secondary analysis of the Determinants of Myocardial Infarction Onset Study (N=2176, mean age=60.1±12.3years, 29.2% women). Anxiety and anger immediately prior to (0-2h) MI and the day before (24-26h) MI were assessed using a structured interview. Subsequent 10-year all-cause mortality was determined using the US National Death Index. RESULTS Anxiety during the 0-2h pre-MI period was associated with younger age (OR=0.98,95% CI=0.96-0.99 per year) and female sex (OR=1.50,95% CI=1.11-2.02). Anger in the 0-2h pre-MI period was also associated with younger age (OR=0.95,95% CI=0.94-0.96) but not with sex (OR=0.93,95% CI=0.67-1.28). During follow-up, 580 (26.7%) patients died. Mortality rate was higher if MI occurred immediately after high anxiety, particularly in patients ≥65years (HR=1.80,95% CI=1.28-2.54) vs. younger patients (HR=0.87,95% CI=0.55-1.40; p-interaction=0.015). Other interactions with sex or anger were not significant. CONCLUSIONS Patients with high anxiety or anger levels in the critical 2-hour period prior to MI are younger than those without such emotional precipitants. In addition, pre-MI anxiety is associated with an elevated 10-year mortality risk in patients aged ≥65years.
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In vivo β-adrenergic receptor responsiveness: ethnic differences in the relationship with symptoms of depression and fatigue. Int J Behav Med 2015; 21:843-50. [PMID: 24114717 DOI: 10.1007/s12529-013-9359-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
BACKGROUND Depressive symptoms and fatigue frequently overlap in clinical samples and the general population. The link of depressive symptoms and fatigue with increased risk of cardiovascular disease has been partly explained by shared biological mechanisms including sympathetic overactivity. Prolonged sympathetic overactivity downregulates the responsiveness of the β-adrenergic receptor (β-AR), a receptor that mediates several end-organ sympathetic responses. PURPOSE The authors studied whether depression and fatigue are related to reduced β-AR responsiveness within the human body (in vivo) in an ethnically diverse sample of African and Caucasian Americans. METHODS The chronotropic25 dose (CD25) was used to determine in vivo β-AR responsiveness in 93 healthy participants. Psychometric measures included the Center of Epidemiological Studies-Depression Scale and the Multidimensional Fatigue Symptom Inventory. RESULTS Hierarchical regression analyses (adjusted for age, gender, body mass index, blood pressure, smoking, and ethnicity) revealed that mental fatigue was significantly related to reduced β-AR responsiveness (i.e., higher CD25 values) in the whole sample. Moderation analyses indicated significant ethnicity × depression/fatigue interactions. Depressive symptoms, total fatigue, emotional fatigue, mental fatigue, and physical fatigue were related to reduced β-AR responsiveness in Caucasian American but not in African Americans. CONCLUSIONS Our findings suggest that symptoms of depression and fatigue are related to decreased in vivo β-AR responsiveness in Caucasian Americans. The lack of this association in African Americans highlights the importance for considering ethnicity as a potential moderator in research focusing on associations between psychological variables and cardiovascular function.
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Messerotti Benvenuti S, Buodo G, Mennella R, Palomba D. Somatic, but not cognitive-affective, symptoms are associated with reduced heart rate variability in individuals with dysphoria. Front Psychol 2015; 6:599. [PMID: 25999905 PMCID: PMC4423301 DOI: 10.3389/fpsyg.2015.00599] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 04/22/2015] [Indexed: 01/01/2023] Open
Abstract
Background: Somatic, but not cognitive–affective, symptoms of depression have been associated with reduced heart rate variability (HRV), and with poor prognosis in cardiovascular patients. However, factors concomitant with cardiovascular diseases may confound the relationship between somatic symptoms of depression and reduced HRV. Therefore, this study examined whether reduced HRV was differentially associated with cognitive–affective and somatic symptoms of depression in medically healthy individuals with and without dysphoria. Methods: Self-reported cognitive–affective and somatic symptoms as measured with the Beck Depression Inventory-II questionnaire and time and frequency domain parameters of HRV were collected in 62 medically healthy individuals, of whom 25 with and 37 without dysphoria. Results: Somatic, but not cognitive–affective, symptoms of depression were inversely associated with SD of NN intervals (β = -0.476, p < 0.05), number of interval differences of successive NN intervals greater than 50 ms (NN50; β = -0.498, p < 0.03), and HRV total power (β = -0.494, p < 0.04) in the group with dysphoria, after controlling for sex, anxiety, and lifestyle factors. Cognitive–affective and somatic symptoms were not related to any of the HRV parameters in the group without dysphoria (all ps > 0.24). Conclusion: By showing that the relationship between somatic depressive symptoms and reduced HRV extends to medically healthy individuals with dysphoria, the present findings suggest that this association is independent of factors concomitant with cardiovascular diseases. The present study also suggests that individuals with somatic rather than cognitive–affective subsets of depressive symptoms may be at greater risk for developing cardiovascular diseases.
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Affiliation(s)
| | - Giulia Buodo
- Department of General Psychology, University of Padova Padova, Italy ; Center for Cognitive Neuroscience, University of Padova Padova, Italy
| | - Rocco Mennella
- Department of General Psychology, University of Padova Padova, Italy
| | - Daniela Palomba
- Department of General Psychology, University of Padova Padova, Italy ; Center for Cognitive Neuroscience, University of Padova Padova, Italy
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Stauber S, Schmid JP, Saner H, Znoj H, Saner G, Grolimund J, von Känel R. Change in positive affect during outpatient cardiac rehabilitation predicts vital exhaustion in patients with coronary heart disease. Behav Med 2014; 39:122-8. [PMID: 24236809 DOI: 10.1080/08964289.2013.813435] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Vital exhaustion is an acknowledged psychosocial risk factor of incident coronary heart disease (CHD) and recurrent CHD events. Little is known about trajectories in vital exhaustion in patients with CHD and the factors predicting this change. We hypothesized that vital exhaustion would decrease during outpatient cardiac rehabilitation and that an increase in positive affect over time would be associated with decreased vital exhaustion at discharge from cardiac rehabilitation. We also explored the role of the patient's sex in this context. Vital exhaustion was reduced during outpatient cardiac rehabilitation, especially in patients who experienced an increase in positive affect over time (p < .001). This relationship was significant in men (p < .001) but not in women (p = .11).
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Abstract
OBJECTIVE Previous longitudinal studies suggest that depression and anxiety are associated with risk for cardiovascular disease. The aim of the present study was to test whether an association between depression and anxiety symptoms and retinal vessel caliber, an indicator of subclinical cardiovascular risk, is apparent as early as adolescence and young adulthood. METHODS Participants were 865 adolescents and young adults who participated in the Brisbane Longitudinal Twin Study and the Twin Eye Study in Tasmania. Participants completed an assessment of depression/anxiety symptoms (the Somatic and Psychological Health Report) when they were 16.5 years old (mean age), and they underwent retinal imaging, on average, 2.5 years later (range, 2 years before to 7 years after the depression/anxiety assessment). Retinal vessel caliber was assessed using computer software. RESULTS Depression and anxiety symptoms were associated with wider retinal arteriolar caliber in this sample of adolescents and young adults (β = 0.09, p = .016), even after adjusting for other cardiovascular risk factors (β = 0.08, p = .025). Multiple regression analyses revealed that affective symptoms of depression/anxiety were associated with retinal vessel caliber independently of somatic symptoms. CONCLUSIONS Depression and anxiety symptoms are associated with measurable signs in the retinal microvasculature in early life, suggesting that pathological microvascular mechanisms linking depression/anxiety and cardiovascular disease may be operative from a young age.
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Can personality traits predict the future development of heart disease in hospitalized psychiatric veterans? J Psychiatr Pract 2013; 19:477-89. [PMID: 24241501 DOI: 10.1097/01.pra.0000438186.59112.72] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine which personality traits are associated with the new onset of chronic coronary heart disease (CHD) in psychiatric inpatients within 16 years after their initial evaluation. We theorized that personality measures of depression, anxiety, hostility, social isolation, and substance abuse would predict CHD development in psychiatric inpatients. METHOD We used a longitudinal database of psychological test data from 349 Veterans first admitted to a psychiatric unit between October 1, 1983, and September 30, 1987. Veterans Affairs and national databases were assessed to determine the development of new-onset chronic CHD over the intervening 16-year period. RESULTS New-onset CHD developed in 154 of the 349 (44.1%) subjects. Thirty-one psychometric variables from five personality tests significantly predicted the development of CHD. We performed a factor analysis of these variables because they overlapped and four factors emerged, with positive adaptive functioning the only significant factor (OR=0.798, p=0.038). CONCLUSION These results support previous research linking personality traits to the development of CHD, extending this association to a population of psychiatric inpatients. Compilation of these personality measures showed that 31 overlapping psychometric variables predicted those Veterans who developed a diagnosis of heart disease within 16 years after their initial psychiatric hospitalization. Our results suggest that personality variables measuring positive adaptive functioning are associated with a reduced risk of developing chronic CHD.
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Cognitive-affective symptoms of depression after myocardial infarction: different prognostic importance across age groups. Psychosom Med 2013; 75:701-8. [PMID: 23873711 DOI: 10.1097/psy.0b013e31829dbd36] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Cognitive-affective symptoms of depression may not be as strongly related to prognosis after myocardial infarction (MI) as somatic depressive symptoms. Because it is not known whether this pattern of results is influenced by the age at which patients are diagnosed as having MI, we examined whether the importance of these symptoms is age dependent in the Enhancing Recovery in Coronary Heart Disease study. METHODS Patients with depression after MI (n = 1823) in the Enhancing Recovery in Coronary Heart Disease study were stratified into the following age groups: younger than 70 years (mean [standard deviation] = 55 [9.0] years) and 70 years or older (mean [standard deviation] = 76 [4.9] years). Measurements included demographic and clinical data and the Beck Depression Inventory. The end point was a composite of recurrent MI and mortality during a mean follow-up of 2.1 years. RESULTS Patients 70 years or older had more severe manifestations of cardiac disease and somatic comorbidities than did patients younger than 70 years (p < .001). During follow-up, 456 patients died or had a recurrent MI. In patients 70 years or older, increasing age, disease severity, and comorbidities--but not depressive symptoms--independently predicted prognosis. In contrast, cognitive-affective symptoms of depression predicted death/MI in patients younger than 70 years (hazard ratio = 1.03, 95% confidence interval = 1.01-1.04, p = .011), after adjustment for disease severity and comorbidities. Somatic symptoms largely explained the link between cognitive-affective symptoms and adverse events, with the exception of hopelessness (hazard ratio = 1.47, 95% confidence interval = 1.11-1.95, p = .007), suggesting that somatic depressive symptoms accurately reflect the depressed mood state in this age group. CONCLUSIONS Somatic symptoms and hopelessness independently predicted death/MI in MI patients younger than 70 years. Research needs to reexamine the modulating effect of age in studies on somatic and cognitive-affective symptoms of post-MI depression.
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Bunevicius A, Tamasauskas S, Deltuva V, Tamasauskas A, Bunevicius R. Psychological distress symptoms' clusters in brain tumor patients: factor analysis of depression and anxiety scales. Psychooncology 2013; 22:2860-3. [DOI: 10.1002/pon.3354] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Revised: 06/22/2013] [Accepted: 06/25/2013] [Indexed: 11/07/2022]
Affiliation(s)
- Adomas Bunevicius
- Behavioral Medicine Institute; Lithuanian University of Health Sciences; Palanga Lithuania
- Department of Neurosurgery; Lithuanian University of Health Sciences; Kaunas Lithuania
- Department of Neurology; University of North Carolina at Chapel Hill; Chapel Hill NC USA
| | - Sarunas Tamasauskas
- Department of Neurosurgery; Lithuanian University of Health Sciences; Kaunas Lithuania
| | - Vytenis Deltuva
- Department of Neurosurgery; Lithuanian University of Health Sciences; Kaunas Lithuania
- Institute of Neurosciences; Lithuanian University of Health Sciences; Kaunas Lithuania
| | - Arimantas Tamasauskas
- Department of Neurosurgery; Lithuanian University of Health Sciences; Kaunas Lithuania
- Institute of Neurosciences; Lithuanian University of Health Sciences; Kaunas Lithuania
| | - Robertas Bunevicius
- Behavioral Medicine Institute; Lithuanian University of Health Sciences; Palanga Lithuania
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Abstract
Burnout is primarily conceptualized by work psychology. It describes symptoms resulting from a long-standing, finally derailing adjustment to work-related stressors. Burnout is not a proper diagnosis according to traditional classification systems. However, ICD-10 considers burnout as a significant factor representing major personal problems that have impact on health status and illness behaviour. Burnout may be considered either as a transitional or persisting adjustment reaction to work-related stress, a condition of increased risk regarding to serious mental illnesses and physical diseases, or an integral syndrome of these various conditions. The core symptom of exhaustion or persisting tiredness must be carefully assessed in respect of depressive, anxiety and somatoform disorders from the perspective of psychiatric differential diagnosis. In most cases of a serious burnout the diagnosis of major depression can be established and should lead to proper psychotherapeutic and/or pharmacological treatments. Any aetiopathogenetic evaluation may be favourably done within a multifactorial biopsychosocial model. Consequences for medical care will be described.
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Affiliation(s)
- H P Kapfhammer
- Klinik für Psychiatrie, Medizinische Universität Graz, Österreich.
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Miller PS, Evangelista LS, Giger JN, Dracup K, Doering LV. Clinical and socio-demographic predictors of postoperative vital exhaustion in patients after cardiac surgery. Heart Lung 2013; 42:98-104. [PMID: 23453010 PMCID: PMC4455925 DOI: 10.1016/j.hrtlng.2013.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2011] [Revised: 01/04/2013] [Accepted: 01/04/2013] [Indexed: 12/30/2022]
Abstract
BACKGROUND Vital exhaustion, a psychological state characterized by extreme fatigue, is an independent predictor of future cardiac events. However, the attributes of vital exhaustion following coronary artery bypass (CABG) surgery are poorly understood. OBJECTIVE The study objective was to assess correlates of vital exhaustion following CABG surgery. METHODS In a descriptive, exploratory study, 42 patients who had CABG surgery were evaluated for exhaustion 4-8 weeks post-hospital discharge. Demographic and clinical data were obtained from self-report and medical chart review. RESULTS Of the total sample (mean age 67.9 ± 12.5, 90% male, 70% Caucasian, 3.12 ± 1.3 grafts), approximately 41% reported exhaustion. When compared to their exhausted post-CABG counterpart, non-exhausted post-CABG patients had a significantly higher frequency of preoperative insulin use. Exhausted patients were significantly more likely to have higher left ventricular ejection fraction ([LVEF], OR: 1.07, p = 0.04), and elevated hemoglobin (OR: 2.98, p = 0.03) and eosinophils (OR: 1.02, p = 0.02) than those who were not exhausted. CONCLUSION Clinicians should evaluate all patients for exhaustion post-CABG surgery; patients with elevated LVEF, hemoglobin, and eosinophil levels warrant increased scrutiny.
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Affiliation(s)
- Pamela S. Miller
- Postdoctoral Scholar, School of Nursing, University of California, San Francisco, 2 Koret Way, N411Y, Box 0606, San Francisco, California, USA 94143-0606
| | - Lorraine S. Evangelista
- Associate Professor, Program in Nursing Science, College of Health Sciences, University of California, Irvine, 231 Irvine Hall, Irvine, California, USA 92697-3959
| | - Joyce Newman Giger
- Professor, School of Nursing, University of California, Los Angeles BOX 956919, 5-234 Factor Los Angeles, California, USA, 90095-6919
| | - Kathleen Dracup
- Professor, School of Nursing, University of California, San Francisco, 2 Koret Way, N631, Box 0610, San Francisco, California, USA 94143-0610
| | - Lynn V. Doering
- Professor, School of Nursing, University of California, Los Angeles BOX 956918, 4-250 Factor Los Angeles, California, USA, 90095-6918
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Abstract
OBJECTIVE Burnout is a negative affective state consisting of emotional exhaustion, physical fatigue, and cognitive weariness symptoms. This study was designed to evaluate prospectively the association between burnout and coronary heart disease (CHD) incidence and to test the possibility that this association is nonlinear. METHODS Participants were 8838 apparently healthy employed men and women, aged 19 to 67 years, who came for routine health examinations at the Tel Aviv Sourasky Medical Center. They were followed up for 3.4 years on average. Burnout was measured by the Shirom-Melamed Burnout Measure. CHD incidence was defined as a composite of acute myocardial infarction, diagnosed ischemic heart disease, and diagnosed angina pectoris. RESULTS During follow-up, we identified 93 new cases of CHD. Baseline levels of burnout were associated with an increased risk of CHD, after adjustment for various risk factors (hazard ratio = 1.41; 95% confidence interval = 1.08-1.85). In addition, we observed a significant threshold effect of burnout on CHD incidence. Participants who scored high on burnout (scores in the upper quintile of the Shirom-Melamed Burnout Measure scores distribution) had a higher risk (hazard ratio = 1.79; 95% confidence interval = 1.05-3.04) of developing CHD on follow-up compared with others. CONCLUSIONS Burnout is an independent risk factor for future incidence of CHD. Individuals with high levels of burnout (upper quintile) have a significantly higher risk of developing CHD compared with those with low levels of burnout.
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Differential predictive value of depressive versus anxiety symptoms in the prediction of 8-year mortality after acute coronary syndrome. Psychosom Med 2012; 74:711-6. [PMID: 22923700 DOI: 10.1097/psy.0b013e318268978e] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Both depression and anxiety have been associated with poor prognosis in patients with acute coronary syndrome (ACS). However, certain symptoms and how they are measured may be more important than others. We investigated three different scales to determine their predictive validity. METHODS Patients with ACS (N = 598) completed either the Hospital Anxiety and Depression Scales (HADS-A, HADS-D; n = 316) or the Beck Depression Inventory-Fast Screen (n = 282). Their all-cause mortality status was assessed at 8 years. RESULTS During follow-up, 20% (121/598) of participants died. Cox proportional hazards modeling showed that the HADS-D was predictive of mortality (hazard ratio [HR] = 1.11, 95% confidence interval [CI] = 1.04-1.19), and this association remained significant after adjustment for major clinical/demographic factors, whereas the HADS-A (HR = 0.96, 95% CI = 0.85-1.09) and the Beck Depression Inventory-Fast Screen (HR = 0.99, 95% CI = 0.91-1.08) were not. The following depression items from the HADS-D predicted mortality: "I still enjoy the things I used to enjoy" (HR = 1.38, 95% CI = 1.05-1.82), "I can laugh and see the funny side of things" (HR = 1.48, 95% CI = 1.11-1.96), "I feel as if I am slowed down" (HR = 1.66, 95% CI = 1.24-2.22), and "I look forward with enjoyment to things" (HR = 1.36, 95% CI = 1.08-1.72). CONCLUSIONS Depressive symptoms related to lack of enjoyment or pleasure and physical or cognitive slowing, as measured by the HADS-D, predicted all-cause mortality at 8 years ACS patients, whereas other depressive and anxiety symptoms did not. Whether symptoms of distress predict prognosis in ACS seems to be dependent on the measures and items used.
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