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Xie XM, Wang YF, Han T, Liu Y, Li J, Zhu H, Jiang T, Ji X, Cai H. Suicidality and its associated factors among mood disorder patients in emergency department in China: a comparative study using propensity score matching approach. Transl Psychiatry 2023; 13:372. [PMID: 38040690 PMCID: PMC10692218 DOI: 10.1038/s41398-023-02675-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Suicidality in mood disorder patients is common, especially in emergency department (ED), but the patterns and associated factors of suicidality are not clear. This study compared biomarkers and mental health symptoms (i.e., depression, anxiety, and psychiatric symptoms) between mood disorder patients with and without the whole range of suicidality comprising suicidal ideation (SI), suicide plan (SP), and suicide attempt (SA). This cross-sectional, comparative, convenient-sampling study was conducted between January 2021 and March 2022, in emergency department of Beijing Anding Hospital, China. Patients with mood disorders at a psychiatric emergency department were assessed, with measurements of suicidality, biomarkers, depressive, anxiety, and psychiatric symptoms were assessed using the 24 items-Hamilton Depression Rating Scale (HAMD-24), Hamilton Anxiety Rating Scale (HAMA), Young Manic Rating Scale (YMRS) and Brief Psychiatric Rating Scale (BPRS), respectively. The propensity score matching (PSM) method was used to identify patients in mood disorder with and without SI, SP, and SA. A generalized linear model (GLM) was used to assess the differences in biomarkers, depressive, anxiety, and psychiatric symptoms between patients in mood disorder with and without SI, SP, and SA. In total, 898 participated in this survey and completed the assessment. Illness duration was significantly negatively associated with SA (OR = 0.969, 95%CI = 0.939-0.999, P = 0.046). HAMD-24 total score was significantly positively associated with the SI (OR = 1.167, 95%CI = 1.134-1.201, p < 0.001), SP (OR = 1.159, 95%CI = 1.126-1.192, p < 0.001) and SA (OR = 1.189, 95%CI = 1.144-1.235, p < 0.001) of the matched samptched sample. However, YMRS total score was significantly negatively associated with the SI (OR = 0.928, 95%CI = 0.905-0.951, p < 0.001), SP (OR = 0.920, 95%CI = 0.897-0.944, p < 0.001) and SA (OR = 0.914, 95%CI = 0.890-0.938, p < 0.001) of the matched sample after adjusting for age, gender, marital status, and occupation. The duration of illness, severity of depressive symptoms and severity of manic symptoms appeared to be more likely to influence suicidality. Considering the significant risk of suicide in mood disorders on psychiatric emergency care, timely treatment and effective management of suicidality in this population group need to be developed.
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Affiliation(s)
- Xiao-Meng Xie
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yi-Fan Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tian Han
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yi Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Juan Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Hui Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tao Jiang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiao Ji
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Hong Cai
- Unit of Medical Psychology and Behavior Medicine, School of public health, Guangxi Medical University, Nanning, Guangxi, China.
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Su Y, Ye C, Xin Q, Si T. Major depressive disorder with suicidal ideation or behavior in Chinese population: A scoping review of current evidence on disease assessment, burden, treatment and risk factors. J Affect Disord 2023; 340:732-742. [PMID: 37619652 DOI: 10.1016/j.jad.2023.08.106] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 07/28/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Identifying and managing major depressive disorder (MDD) patients with suicidal ideation or behavior (MDSI) is critical for reducing the disease burden. This scoping review aims to map the existing evidence related to MDSI in the Chinese population. METHOD A scoping review was conducted to summarize the published evidence regarding epidemiology or disease burden, evaluation, diagnosis, management, and prognosis of MDSI. The search strategy imposed restriction on English or Chinese publications between 1 January 2011 and 28 February 2022. RESULTS Of the 14,005 identified records, 133 met the eligibility criteria and were included for analysis. The included studies were characterized as high heterogeneity in evaluation of suicidal ideation or behavior. Compared with MDD patients without suicidal ideation or behavior, MDSI patients were more likely to suffer from psychological and somatic symptoms, social function impairment, and lower quality of life. Younger age, female gender, longer disease course, and comorbid psychological or physical symptoms were consistently found to be risk factors of suicidal ideation or behavior. Relevant research gaps remain regarding comprehensive evaluation of standard clinical diagnosis, disease burden, social-cultural risk factors, and effectiveness of interventions targeting MDSI. Studies with large sample size, representative population are warranted to provide high-quality evidence. CONCLUSIONS MDD patients with suicidal ideation or behavior should be prioritized in treatment and resource allocation. Heterogeneity exists in the definition and evaluation of MDSI in different studies. To better inform clinical practice, it is imperative to establish a unified standard for evaluation and diagnosis of suicidal ideation or behavior among MDD population.
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Affiliation(s)
- Yun'Ai Su
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chong Ye
- Xi'an Janssen Pharmaceutical Ltd, Beijing, China
| | - Qin Xin
- Xi'an Janssen Pharmaceutical Ltd, Beijing, China
| | - Tianmei Si
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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Chiu CC, Liu HC, Li WH, Tsai SY, Chen CC, Kuo CJ. Incidence, risk and protective factors for suicide mortality among patients with major depressive disorder. Asian J Psychiatr 2023; 80:103399. [PMID: 36542894 DOI: 10.1016/j.ajp.2022.103399] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
AIM Patients with major depression have greater suicide mortality, but there is no data on the standardised mortality ratio (SMR) and factors for suicide of major depression for Asian countries. This research estimates the SMR and the risk and protective factors for suicide mortality in patients with major depression in a large-scale Asian cohort. METHODS Patients with major depression (N = 1978) admitted to a psychiatric hospital in Taiwan between 1985 and 2008 were enrolled as the study cohort. When the cohort was linked to the national mortality database, 415 deceased patients were identified. Of these 415 deaths, 107 were from suicide. Nested case-control with risk sampling was used, where each case was matched with two controls. Clinical information was collected through a standardised chart review process. The SMR for suicide mortality was estimated, and a conditional logistic regression analysis was performed to determine risk and protective factors for suicide. RESULTS Patients with major depression had high all-cause and suicide mortality, with SMRs of 3.9 and 35.4, respectively. Agitation (adjusted risk ratio [aRR] = 2.85, P = 0.058), restlessness (aRR = 15.05, P = 0.045) and previous suicide attempts (aRR = 4.48, P = 0.004) were identified as risk factors for suicide mortality. By contrast, those with employment (aRR = 0.15, P = 0.003) or loss of interest (aRR = 0.32, P = 0.04) had lower risk. CONCLUSIONS Patients with depression exhibited higher suicide mortality. Clinical staff should pay close attention to risk and protective factors to reduce suicide risk.
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Affiliation(s)
- Chih-Chiang Chiu
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Hsing-Cheng Liu
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Wei-Hsin Li
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Chiao-Chicy Chen
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan; Department of Psychiatry, Mackay Medical College, Taipei, Taiwan
| | - Chian-Jue Kuo
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
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Peng P, Wang Q, Lang X, Liu T, Zhang XY. Clinical symptoms, thyroid dysfunction, and metabolic disturbances in first-episode drug-naïve major depressive disorder patients with suicide attempts: A network perspective. Front Endocrinol (Lausanne) 2023; 14:1136806. [PMID: 36909321 PMCID: PMC9999007 DOI: 10.3389/fendo.2023.1136806] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/16/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUNDS Co-occurrence of thyroid dysfunction, metabolic disturbances, and worsening clinical symptoms in major depressive disorder (MDD) patients with suicidal attempts (SA) are common. However, their relationship in SA patients remains unexplored. We aimed to (1) determine the independent association of thyroid dysfunction, clinical symptoms, and metabolic disturbances with SA; and (2) identify their interactions in SA patients via the network approach. METHODS 1718 FEDN MDD patients were recruited. Depressive, anxiety, and psychotic symptoms were assessed by the Hamilton Rating Scale for Depression (HAMD), the Hamilton Rating Scale for Anxiety (HAMA), and the Positive and Negative Syndrome Subscale positive subscale, respectively. The serum levels of thyroid hormones and other metabolic parameters were assessed. Logistic regression model was applied to determine the correlates of SA. Network analysis was applied to determine the interaction between thyroid dysfunction, clinical symptoms, and metabolic disturbances. RESULTS SA patients had significant worse metabolic disturbances, thyroid dysfunction, and clinical symptoms than non-SA patients. Thyroid peroxidases antibody, thyroid stimulating hormone (TSH), HAMD scores, HAMA scores, and systolic blood pressure was independently associated with SA. Network analysis suggested that TSH was the hub of the network, exhibiting substantial associations with metabolic disturbances, anxiety, and psychotic symptoms in SA patients. CONCLUSIONS Our work highlights the predominant role of serum TSH levels in the pathophysiology of SA. Regular thyroid function tests might help early detect SA. Targeting increased TSH levels may help reduce metabolic disturbances and clinical symptoms in SA patients.
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Affiliation(s)
- Pu Peng
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qianjin Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaoe Lang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Tieqiao Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- *Correspondence: Tieqiao Liu, ; Xiang-Yang Zhang,
| | - Xiang-Yang Zhang
- Chinese Academy of Science (CAS) Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Tieqiao Liu, ; Xiang-Yang Zhang,
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Chen RF, Cai Y, Zhu ZH, Hou WL, Chen P, Wang J, Jia YM, Zhu ZB, Zhang YH, Tao LY, Wu JW, Zhang J, Zhang H, Wang ZX, Jia QF, Hui L. Sleep disorder as a clinical risk factor of major depression: associated with cognitive impairment. Asian J Psychiatr 2022; 76:103228. [PMID: 35973338 DOI: 10.1016/j.ajp.2022.103228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/08/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND This research aims explored the sleep disorder (SD) role in major depressive disorder (MDD), and the SD influencing their cognition. METHODS 372 MDD patients and 457 healthy controls (HCs) were enrolled. RESULTS Patients increased a 38.88 times SD risk compared with HCs. In patients, visuospatial/constructional score was lower in SD than non-SD, and PSQI score was negatively associated with visuospatial/constructional score of SD. In SD and non-SD, RBANS scores were lower in MDD than HCs, excepted for visuospatial/constructional in non-SD. CONCLUSION The SD as a MDD risk factor, has more serious visuospatial/constructional impairment alleviated via improving sleep/depression in patients.
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Affiliation(s)
- Ru Feng Chen
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Yuan Cai
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Zhen Hua Zhu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Wen Long Hou
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Peng Chen
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jing Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Yi Ming Jia
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Zheng Bao Zhu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Yong Hong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, PR China
| | - Lu Yang Tao
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jia Wei Wu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China
| | - Jianping Zhang
- Department of Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY 10605, USA
| | - Huiping Zhang
- Departments of Psychiatry and Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118-2526, USA
| | - Zhi Xin Wang
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
| | - Qiu Fang Jia
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
| | - Li Hui
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215137, Jiangsu Province, PR China.
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Huang C, Han W, Hu S. The Effects of the Solution-Focused Model on Anxiety and Postpartum Depression in Nulliparous Pregnant Women. Front Psychol 2022; 13:814892. [PMID: 35444587 PMCID: PMC9013840 DOI: 10.3389/fpsyg.2022.814892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/14/2022] [Indexed: 12/01/2022] Open
Abstract
Background Solution-focused model (SFM) is an intervention method that fully mobilizes patients’ initiative through their potential. We aimed to investigate the effects of SFM on anxiety and postpartum depression (PPD) in nulliparous pregnant women compared with routine care services. Methods We chose the mothers diagnosed as depressed or with depressive tendency by Edinburgh Postpartum Depression Scale (EPDS) at 28 weeks of gestation and divided them into the intervention and control groups. The control group only took the routine pregnancy healthy nursing, while the SFM group took the regular nursing and SFM counselling. Different assessments were conducted at 28 weeks of gestation, post-delivery, and post-intervention to evaluate the anxiety and depression levels of the patients. Finally, nursing satisfaction was evaluated by the nursing satisfaction questionnaire. Results Compared with the control group, SFM could decrease the scores of anxiety and depression more effectively and influence sleep quality more positively. We also found that SFM resulted in significantly higher nursing satisfaction than that in the control group (p = 0.0046). Conclusion In conclusion, SFM could effectively alleviate anxiety and PPD in nulliparous pregnant women.
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Affiliation(s)
- Cuiqin Huang
- Department of Obstetrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Wei Han
- Department of Obstetrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Sanlian Hu
- Nursing Department, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- *Correspondence: Sanlian Hu,
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Jieqiong H, Yunxin J, Ni D, Chen L, Ying C. The correlation of body mass index with clinical factors in patients with first-episode depression. Front Psychiatry 2022; 13:938152. [PMID: 36117651 PMCID: PMC9470930 DOI: 10.3389/fpsyt.2022.938152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Depression is one of the major disease burdens worldwide. Few studies have addressed body mass index (BMI) in Chinese depression patients. This current study aimed to investigate the BMI in patients with depression and the correlation with clinical factors. A total of 211 inpatients with first-episode depression were enrolled. General and clinical data were collected by standardized questionnaires and the levels of hemoglobin, fasting blood glucose, uric acid, and blood lipid were measured. In total, 24-item Hamilton Depression Scale (HAMD) and 14-item Hamilton Anxiety Scale (HAMA) were rated for all the patients. The BMI of 211 patients with depression was 37 (17.5%) in the underweight group, 117 (55.5%) in the normal-weight group, 43 (20.4%) in the overweight group, and 14 (6.6%) in the obesity group. Multivariate logistic analysis showed that uric acid was the only risk factor for BMI. The ordered logit model showed that the risk of elevated uric acid increased with BMI grade. And the risk of severe depression was significantly greater in patients with underweight than those in normal-weight. The level of uric acid in patients with first-episode depression is positively correlated with BMI, and the score of depressive symptoms is higher in patients with underweight.
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Affiliation(s)
- Hu Jieqiong
- Department of Psychosomatic Medicine, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Ji Yunxin
- Department of Psychosomatic Medicine, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Dai Ni
- Department of Psychosomatic Medicine, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Lin Chen
- Department of Psychosomatic Medicine, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Chai Ying
- Department of Psychosomatic Medicine, Ningbo First Hospital, Ningbo, Zhejiang, China
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Prevalence of suicidal ideation and planning in patients with major depressive disorder: A meta-analysis of observation studies. J Affect Disord 2021; 293:148-158. [PMID: 34192629 DOI: 10.1016/j.jad.2021.05.115] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Suicidal ideation (SI) and suicide planning (SP) are associated with an increased risk of future suicide. We performed a meta-analysis of observational studies to estimate the prevalence of SI and SP in patients with major depressive disorder (MDD) and its associated factors. METHODS A systematic literature search was conducted in PubMed, EMBASE, PsycINFO and Web of Science from their commencement date until 7 October 2020. Original studies containing data on the prevalence of SI and SP in individuals with MDD were analyzed. RESULTS Forty-six articles covering 53,598 patients were included in the meta-analysis. The overall prevalence of SI was 37.7% (95% confidence interval (CI): 32.3-43.4%) and the pooled prevalence of SP was 15.1% (95% CI: 8.0--26.8%). Subgroup analyses revealed that the timeframe over which SI was assessed, source of patients, study design, and diagnostic criteria were significantly associated with the pooled prevalence of SI. Meta-regression analyses revealed that the Hamilton Depression Rating Scale (HAMD) score and percentage of male participants were positively associated with the pooled prevalence of SI. Study quality and mean age were negatively associated with the pooled prevalence of SI. In contrast, survey year and study quality were negatively associated with pooled prevalence of SP LIMITATION: SI and SP were self-reported and subject to recall bias and impression management. CONCLUSIONS SI and SP are common in patients with MDD, especially among inpatients. Preventive measures and treatments focusing on factors associated with SI and SP may reduce the risk of suicide in patients with MDD.
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Hou WL, Yin XL, Yin XY, Guan LY, Cao JQ, Tang Z, Jiang CX, Xu DW, Yu X, Wang J, Jia QF, Chan RCK, Hui L. Association between stereopsis deficits and attention decline in patients with major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 110:110267. [PMID: 33556482 DOI: 10.1016/j.pnpbp.2021.110267] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 01/18/2021] [Accepted: 01/31/2021] [Indexed: 11/24/2022]
Abstract
Cognitive and sensory deficits were considered a core feature of major depressive disorder (MDD). However, few studies investigated stereopsis integrity in patients with MDD. Thus, the objectives of this study investigated stereopsis integrity and its correlations with cognitive function and depressive symptom in patients with MDD. 90 patients with MDD and 116 healthy controls (HCs) were enrolled in this study. Their stereoacuity was evaluated using the Titmus Stereopsis Test as well as assessing their cognitive function and depressive symptom by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and Hamilton Depression Scale (HAMD). Log seconds of arc was significantly higher in patients than HCs (1.92 ± 0.41 versus 1.67 ± 0.16, t = 5.35, p < 0.0001). The percentage of patients with correct stereopsis detection was markedly declined in 400 (z = 3.06, p = 0.002), 200 (z = 3.84, p < 0.001), 140 (z = 4.73, p < 0.001), 100 (z = 4.58, p < 0.001), 80 (z = 5.06, p < 0.001), 60 (z = 4.72, p < 0.001), 50 (z = 4.24, p < 0.001), and 40 (z = 4.85, p < 0.001) seconds of arc compared with HCs. Log seconds of arc was significantly correlated with the RBANS total score (r = -0.38, p < 0.0001), subscores of attention (r = -0.49, p < 0.0001) and language (r = -0.33, p = 0.001) rather than HAMD score (r = 0.03, p = 0.78) in MDD patients. In addition, log seconds of arc was significantly related to the RBANS total score (r = -0.58, p < 0.0001) and language score (r = -0.45, p = 0.006) rather than attention score (r = -0.30, p = 0.07) in HCs. Further stepwise multivariate regression analyses showed the negative correlation of log seconds of arc with attention score (β = -0.80, t = -3.95, p < 0.0001) rather than HAMD score (β = -0.008, t = -0.09, p = 0.93) in MDD patients. However, there was no relationship between log seconds of arc and attention score in HCs (β = 1.52, t = 1.19, p = 0.24). Our results identified the marked deficits of stereopsis in MDD patients that were tightly correlated with their attention functioning rather than depressive symptom.
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Affiliation(s)
- Wen-Long Hou
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Xiao-Li Yin
- Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325007, Zhejiang, PR China
| | - Xu-Yuan Yin
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Lu-Yang Guan
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Jia-Qi Cao
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Zhen Tang
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Cai-Xia Jiang
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Dong-Wu Xu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China
| | - Xin Yu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, Zhejiang, PR China; Institute of Mental Health, Peking University, Beijing 100083, PR China
| | - Jing Wang
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Qiu-Fang Jia
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health Institute of Psychiatry, Beijing 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, PR China
| | - Li Hui
- Research Center of Biological Psychiatry, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu, PR China.
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Association between olfactory function and inhibition of emotional competing distractors in major depressive disorder. Sci Rep 2020; 10:6322. [PMID: 32286450 PMCID: PMC7156747 DOI: 10.1038/s41598-020-63416-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 03/30/2020] [Indexed: 01/10/2023] Open
Abstract
We aimed to investigate the changes of olfaction of major depressive disorder (MDD) before and after medical treatment, and to preliminarily scrutinize the association between the olfactory function and the severity of depressive symptoms, response inhibition, and emotional responding. Forty-eight medicine-naïve MDD patients plus 33 healthy controls (HC) matched on gender, ages, and level of education, were recruited in the test group. The Chinese Smell Identification Test (CSIT), Self-reported Olfactory Scale (SROS), 17-item Hamilton Depression Rating Scale (HAMD-17), Hamilton Anxiety Rating Scale (HAMA), and mean reaction time/accuracy rate (ΔMRT) of emotional Stroop test were measured. The patients were assessed before the treatment (baseline) and 3 months after the treatment (follow-up). The data at the baseline level were measured then associated using multiple linear regression stepwise analysis. The MDD patients had lower scores of the CSIT and SROS and longer ΔMRT at baseline level compared to HC while the ΔMRT of MDD patients remained longer after 3-month treatment (p’s < 0.05). At the baseline level, the regression equation including age and ΔMRT of negative word-color congruent (NEG-C), was finally observed as follows: y(CSIT) = 10.676–0.063 × 1–0.002 × 2, [x1 = the age(y), x2 = the NEG-C (ms)]. The olfactory function of MDD appears to be correlated negatively with the age and the ΔMRT of negative stimuli before treatment. After the remission of MDD, the olfactory dysfunction was improved, which might be regarded as a responding phenotype of brain function of MDD rather than the emotional responding.
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Wang F, Wu X, Gao J, Li Y, Zhu Y, Fang Y. The relationship of olfactory function and clinical traits in major depressive disorder. Behav Brain Res 2020; 386:112594. [PMID: 32194189 DOI: 10.1016/j.bbr.2020.112594] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 02/12/2020] [Accepted: 03/10/2020] [Indexed: 10/24/2022]
Abstract
People who have developed a good sense of smell could experience much more happiness and pleasure, which would trigger a discussion that olfactory disorder might correlate with the pathogenesis of major depressive disorder (MDD). Similar experiments conducted on rats have confirmed that nerve damage of olfactory pathway can induce a series of depression-like changes, including behavior, neurobiochemistry, and neuroimmunity. These changes will recover progressively with anti-depression treatment. While in similar studies on human beings, olfactory dysfunction has been found in people suffering from depression. This review briefly discusses the correlation between olfactory deficits and clinical traits of depression in different dimensions, such as the severity, duration and cognitive impairment of depression. Improving olfactory function may be expected to be a potential antidepressant therapy.
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Affiliation(s)
- Fang Wang
- Shanghai Yangpu Mental Health Center, Shanghai, 200093, China; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Xiaohui Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Jerry Gao
- Yennora Public School, NSW, 2161, Australia
| | - Yongchao Li
- Shanghai Yangpu Mental Health Center, Shanghai, 200093, China
| | - Yuncheng Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Yiru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology, 200031, China; Shanghai Key Laboratory of Psychotic disorders, Shanghai, 201108, China.
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12
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Zhang H, Tian Y, Zhang S, Wang S, Yao D, Shao S, Li J, Li S, Li H, Zhu Z. Homocysteine-mediated gender-dependent effects of prenatal maternal depression on motor development in newborn infants. J Affect Disord 2020; 263:667-675. [PMID: 31780131 DOI: 10.1016/j.jad.2019.11.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 09/25/2019] [Accepted: 11/09/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND The present study aimed to determine whether there were gender differences in the effects of prenatal maternal depression on motor development in newborn infants, and further to explore the role of plasma homocysteine in the delayed motor development in male newborn infants following prenatal maternal depression. METHODS The term pregnant women within 37-42 weeks of gestation were assessed depressive symptoms by Hamilton Rating Scale for Depression. According to the gender of the newborn infants, all the subjects were divided into four groups: female control group (n = 45), male control group (n = 47), female depression group (n = 50), male depression group (n = 60). Motor development in newborn infants were assessed by Neonatal Behavioral Assessment Scale. Plasma homocysteine concentrations both in mothers and newborn infants were measured by enzymatic cycling assay. RESULTS There were the worse scores of the items of motor development and significantly higher plasma homocysteine concentrations in the male newborn infants of depression group than those of the female depression group and female control group, male control group, respectively. Plasma homocysteine concentrations significantly correlated with the items of motor development in all newborn infants, including the depression group and control group. LIMITATIONS We should further explore homocysteine-mediated gender-dependent effects of prenatal maternal depression on motor development in newborn infants in the long-term follow-up. CONCLUSIONS Prenatal maternal depression could result in delayed motor development in male newborn infants, but not female newborn infants. Plasma homocysteine may mediate gender-dependent effects of prenatal maternal depression on motor development in newborn infants.
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Affiliation(s)
- Huiping Zhang
- Medical college of Northwest University, Shaanxi, China; Neonatal intensive care unit, the Affiliated Children Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Ying Tian
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Sisi Zhang
- Medical college of Northwest University, Shaanxi, China
| | - Shan Wang
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Dan Yao
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Shuya Shao
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jing Li
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Senya Li
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hui Li
- Department of Neonatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zhongliang Zhu
- Medical college of Northwest University, Shaanxi, China.
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Ge F, Jiang J, Wang Y, Yuan C, Zhang W. Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China. Neuropsychiatr Dis Treat 2020; 16:665-672. [PMID: 32184605 PMCID: PMC7061409 DOI: 10.2147/ndt.s238286] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/21/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND A growing body of research suggests that major depressive disorder (MDD) is one of the most common psychiatric conditions associated with suicide ideation (SI). However, how a combination of easily accessible variables built a utility clinically model to estimate the probability of an individual patient with SI via machine learning is limited. METHODS We used the electronic medical record database from a hospital located in western China. A total of 1916 Chinese patients with MDD were included. Easily accessible data (demographic, clinical, and biological variables) were collected at admission (on the first day of admission) and were used to distinguish SI with MDD from non-SI using a machine learning algorithm (neural network). RESULTS The neural network algorithm distinguished 1356 out of 1916 patients translating into 70.08% accuracy (70.68% sensitivity and 67.09% specificity) and an area under the curve (AUC) of 0.76. The most relevant predictor variables in identifying SI from non-SI included free thyroxine (FT4), the total scores of Hamilton Depression Scale (HAMD), vocational status, and free triiodothyronine (FT3). CONCLUSION Risk for SI among patients with MDD can be identified at an individual subject level by integrating demographic, clinical, and biological variables as possible as early during hospitalization (at admission).
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Affiliation(s)
- Fenfen Ge
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Jingwen Jiang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Yue Wang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Cui Yuan
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Wei Zhang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
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