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Ye J, Duan C, Han J, Chen J, Sun N, Li Y, Yuan T, Peng D. Peripheral mitochondrial DNA as a neuroinflammatory biomarker for major depressive disorder. Neural Regen Res 2025; 20:1541-1554. [PMID: 38934398 DOI: 10.4103/nrr.nrr-d-23-01878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 05/20/2024] [Indexed: 06/28/2024] Open
Abstract
In the pathogenesis of major depressive disorder, chronic stress-related neuroinflammation hinders favorable prognosis and antidepressant response. Mitochondrial DNA may be an inflammatory trigger, after its release from stress-induced dysfunctional central nervous system mitochondria into peripheral circulation. This evidence supports the potential use of peripheral mitochondrial DNA as a neuroinflammatory biomarker for the diagnosis and treatment of major depressive disorder. Herein, we critically review the neuroinflammation theory in major depressive disorder, providing compelling evidence that mitochondrial DNA release acts as a critical biological substrate, and that it constitutes the neuroinflammatory disease pathway. After its release, mitochondrial DNA can be carried in the exosomes and transported to extracellular spaces in the central nervous system and peripheral circulation. Detectable exosomes render encaged mitochondrial DNA relatively stable. This mitochondrial DNA in peripheral circulation can thus be directly detected in clinical practice. These characteristics illustrate the potential for mitochondrial DNA to serve as an innovative clinical biomarker and molecular treatment target for major depressive disorder. This review also highlights the future potential value of clinical applications combining mitochondrial DNA with a panel of other biomarkers, to improve diagnostic precision in major depressive disorder.
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Affiliation(s)
- Jinmei Ye
- Division of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cong Duan
- Division of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaxin Han
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Jinrong Chen
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Yuan Li
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tifei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Daihui Peng
- Division of Mood Disorder, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yuan W, Yang T, Chen L, Zhang Y, Liu J, Song X, Jiang J, Qin Y, Wang R, Guo T, Song Z, Zhang X, Dong Y, Song Y, Ma J. Sufficient sleep and physical activity can relieve the effects of long-term exposure to particulate matter on depressive symptoms among 0.31 million children and adolescents from 103 counties in China. J Affect Disord 2024; 364:116-124. [PMID: 39142569 DOI: 10.1016/j.jad.2024.08.026] [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: 12/10/2023] [Revised: 07/04/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Although long-term exposures to air pollutants have been linked to mental disorders, existing studies remain limited and inconsistent. We investigated the relationship between exposure to particulate matter (PM) and depressive symptoms, as well as the potential role of sleep duration and physical activity. METHOD Using the surveillance data (2019 to 2022) of common diseases and risk factors among 312,390 students aged 10-25 years, logistic regression, generalized liner model (GLM) and restricted cubic spline (RCS) were employed to investigate the relationship between long-term exposure to PM and depressive symptoms. RESULT Significant associations were found between PM1 (OR = 1.21, 95 % CI: 1.12-1.32), PM2.5 (OR = 1.24, 95 % CI: 1.19-1.38), and PM10 (OR = 1.87, 95 % CI: 1.69-2.07) and increased risks of depressive symptoms. Sleep duration and physical activity relieved these associations. The odds ratios (ORs) of PM1, PM2.5, and PM10 on depressive symptoms were lower in group with sufficient sleep (1.02 vs. 1.49, 1.20 vs. 1.80, 2.15 vs. 2.23), lower in group with high level MVPA (1.13 vs. 1.48, 1.14 vs. 1.58, 1.85 vs. 2.38), and lower in group with high level outdoor activity (1.19 vs. 1.55, 1.23 vs. 1.63, 1.83 vs. 2.72). LIMITATIONS Conclusions about causality remain speculative because of the cross-sectional design. CONCLUSION Sufficient sleep duration and outdoor activity may mitigate the decline in mental health among adults in developing countries caused by long-term exposure to PM. This contribution enhanced our understanding of the mechanisms linking air pollution to mental health.
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Affiliation(s)
- Wen Yuan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Tian Yang
- Inner Mongolia Autonomous Region Center for Comprehensive Disease Control and Prevention, Huhhot 010030, China
| | - Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Yi Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jieyu Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xinli Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jianuo Jiang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Yang Qin
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Ruolin Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Tongjun Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Zhiying Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xiuhong Zhang
- Inner Mongolia Autonomous Region Center for Comprehensive Disease Control and Prevention, Huhhot 010030, China.
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
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Chen S, Sun H, Song Y, Zhang M, Huang W, Zhao C, Wang Y, Wang J, Meng H, Zhou L, Xu Z, Bai Y. Transition and trend analysis of the burden of depression in China and different income countries: Based on GBD database and joinpoint regression model. J Affect Disord 2024; 362:437-449. [PMID: 38960335 DOI: 10.1016/j.jad.2024.06.067] [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: 01/11/2024] [Revised: 06/11/2024] [Accepted: 06/19/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Depression is a leading cause of disability and poor health worldwide and is expected to rank first worldwide by 2030. The aim of this study is to analyze the transition and trend of depression burden in China and various income-level countries by utilizing the Global Burden of Disease (GBD) database and the Joinpoint regression model. This analysis seeks to comprehend the variations in the burden of depression across different income regions and evaluate their developmental patterns. METHODS Based on the GBD 2019 open dataset, this study extracted data on YLD (Years Lived with Disability), DALY (Disability-Adjusted Life Years), and incidence related to depression. The analysis focused on the period between 1990 and 2019, covering global data and distinguishing between high-income, upper-middle-income, lower-middle-income, low-income countries, and China. We utilized the Joinpoint regression model to fit the spatiotemporal trend changes among different income-level countries. Pairwise comparisons were conducted to examine the parallelism and to determine if the differences in trend changes among various regions were statistically significant. RESULTS From 1990 to 2019, the age-standardized YLD and DALY for depression female were higher than that in male. The YLD total change rate of depression men was higher than that of women. China exhibited the largest disparity in total YLD change rates between genders, reaching 0.08. During 1990 to 2019, the incidence of depression in 2005-2019 increased among females in middle to high-income countries, low-income countries, and China as compare to that of 1990-2005. Notably, China shown the most increase the incidence rate of females (from -0.4 % to 0.84 %). China experienced the most significant change in the YLD of depression during this period (AAPC = 0.45, 95 % CI = 0.41, 0.48, P < 0.01). China's YLD/Incidence rate was higher compared to the global, HICs, UMCs, LMCs, and LICs. In China, the YLD/incidence rate of depression began to rise in 1994, peaking around 2010, and then gradually declining. Since 2010, the growth rate of depression DALYs in China has been higher than the global average, high-income countries, upper-middle-income countries, lower-middle-income countries, and low-income countries. The DALY's AAPC value for the HLCs was the highest (AAPC = 0.24, 95 % CI = 0.22, 0.25, P < 0.01). The UMCs, in comparison to other regions, incidence rate had the highest AAPC value (AAPC = 0.48, 95 % CI = 0.46, 0.50, P < 0.01). CONCLUSIONS Given the significant variations in the burden of depression across countries with different income levels, future strategies aimed at reducing the burden of depression should adopt tailored and differentiated approaches according to each country's specific needs and developmental stages.
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Affiliation(s)
- Si Chen
- Shandong Second Medical University, Weifang 261053, China; BeiHua University, Jilin 132013, China
| | - Hongwei Sun
- Shandong Second Medical University, Weifang 261053, China.
| | - Yan Song
- BeiHua University, Jilin 132013, China
| | - Min Zhang
- BeiHua University, Jilin 132013, China
| | - Wei Huang
- BeiHua University, Jilin 132013, China
| | | | - Yanyu Wang
- Shandong Second Medical University, Weifang 261053, China
| | | | - HaiBo Meng
- Jilin City Medical Association, Jilin 132011, China
| | - Lei Zhou
- Chinese Center for Disease Control and Prevention (CDC), Beijing 102206, China
| | | | - YuXin Bai
- BeiHua University, Jilin 132013, China
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Rong J, Zhang N, Wang Y, Cheng P, Zhao D. Development and validation of a nomogram to predict the depressive symptoms among older adults: A national survey in China. J Affect Disord 2024; 361:367-375. [PMID: 38897299 DOI: 10.1016/j.jad.2024.06.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 05/21/2024] [Accepted: 06/14/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Depressive symptoms (DS) have become a global public health problem. However, a risk prediction model for DS in the elderly population has not been established. The purpose of this study was to develop and validate a predictive nomogram to screen for DS in the elderly population. METHODS A cross-sectional data of 3396 participants aged 60 and over were obtained from the China Health and Retirement Longitudinal Study 2018 (CHARLS). Participants were divided into the development and validation set. Predictive factors were selected through a single-factor analysis, and then a predictive model nomogram was established. The discrimination, calibration, and clinical validity were evaluated using the receiver operating characteristic (ROC) curves, Hosmer-Lemeshow tests, and decision curve analyses (DCA). RESULTS A total of 2379 and 1017 participants were included in the development and validation set, respectively. The analysis found that gender, residence, dyslipidemia, self-rated health, and ADL disability were risk factors for DS in older adults, and were included in the final model. This nomogram showed an acceptable predictive performance as evaluated by the area under the ROC curve with values of 0.684 (95 % confidence interval (CI): 0.663-0.706) and 0.687 (95 % CI: 0.655-0.719) in the development and validation set, respectively. The calibration curve indicated that the model was accurate, and DCA demonstrated a good clinical application value. CONCLUSION Five factors were selected to establish a nomogram for predicting DS in older adults. The nomogram has a good evaluation performance and can be used as a reliable tool to predict DS among older adults.
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Affiliation(s)
- Jian Rong
- Department of Scientific Research, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, PR China
| | - Ningning Zhang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Yu Wang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Pan Cheng
- Department of Scientific Research, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, PR China
| | - Dahai Zhao
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui, China.
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Zhong Q, Lai S, He J, Zhong S, Song X, Wang Y, Zhang Y, Chen G, Yan S, Jia Y. Gender-related alterations of serum trace elements and neurometabolism in the anterior cingulate cortex of patients with major depressive disorder. J Affect Disord 2024; 360:176-187. [PMID: 38723680 DOI: 10.1016/j.jad.2024.05.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 04/08/2024] [Accepted: 05/06/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND It is widely known that sex differences have a significant impact on patients with major depressive disorder (MDD). This study aims to evaluate the sex-related connection between serum trace elements and changes in neurometabolism in the anterior cingulate cortex (ACC) of MDD patients. METHODS 109 untreated MDD patients and 59 healthy controls underwent proton magnetic resonance spectroscopy (1H-MRS) under resting conditions. We measured metabolic ratios in the ACC from both sides. Additionally, venous blood samples were taken from all participants to detect calcium (Ca), phosphorus, magnesium (Mg), copper (Cu), ceruloplasmin (CER), zinc (Zn), and iron (Fe) levels. We performed association and interaction analyses to explore the connections between the disease and gender. RESULTS In individuals with MDD, the Cu/Zn ratio increased, while the levels of Mg, CER, Zn and Fe decreased. Male MDD patients had lower Cu levels, while female patients had an increased Cu/Zn ratio. We observed significant gender differences in Cu, CER and the Cu/Zn ratio in MDD. Male patients showed a reduced N-acetyl aspartate (NAA)/phosphocreatine + creatine (PCr + Cr) ratio in the left ACC. The NAA/PCr + Cr ratio decreased in the right ACC in patients with MDD. In the left ACC of male MDD patients, the Cu/Zn ratio was inversely related to the NAA/PCr + Cr ratio, and Fe levels were negatively associated with the GPC + PC/PCr + Cr ratio. CONCLUSIONS Our findings highlight gender-specific changes in Cu homeostasis among male MDD patients. The Cu/Zn ratio and Fe levels in male MDD patients were significantly linked to neurometabolic alterations in the ACC.
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Affiliation(s)
- Qilin Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Jiali He
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
| | - Xiaodong Song
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Shuya Yan
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
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Yang H, Chen Y, Tao Q, Shi W, Tian Y, Wei Y, Li S, Zhang Y, Han S, Cheng J. Integrative molecular and structural neuroimaging analyses of the interaction between depression and age of onset: A multimodal magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111052. [PMID: 38871019 DOI: 10.1016/j.pnpbp.2024.111052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Depression is a neurodevelopmental disorder that exhibits progressive gray matter volume (GMV) atrophy. Research indicates that brain development is influential in depression-induced GMV alterations. However, the interaction between depression and age of onset is not well understood by the underlying molecular and neuropathological mechanisms. Thus, 152 first-episode depression individuals and matched 130 healthy controls (HCs) were recruited to undergo T1-weighted high-resolution magnetic resonance imaging for this study. By two-way ANOVA, age and diagnosis were used as factors when analyzing the interaction of GMV in the participants. Then, spatial correlations between neurotransmitter maps and factor-related volume maps are established. Results illustrate a pronounced antagonistic interaction between depression and age of onset in the right insula, superior temporal gyrus, anterior cingulate gyrus, and orbitofrontal gyrus. Depression-caused reductions in GMV are mainly distributed in thalamic-limbic-cortical regions, regardless of age. For the main effect of age, adults exhibit brain atrophy in frontal, cerebellum, parietal, and temporal lobe structures. Cross-modal correlations showed that GMV changes in the interactive regions were linked with the serotonergic system and dopaminergic systems. Summarily, our results reveal the interaction between depression and age of onset in neurobiological mechanisms, which provide hints for future treatment of different ages of depression.
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Affiliation(s)
- Huiting Yang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Wenqing Shi
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
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Chen L, Chang L, Lin H, Tu J, Zhou Y, Han Y. Savior or saboteur? A nationwide study on digital economy and depression in China. J Affect Disord 2024; 365:578-586. [PMID: 39187198 DOI: 10.1016/j.jad.2024.08.147] [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: 11/09/2023] [Revised: 08/09/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
The regional boom in digital economy has provided people with remote conversations and socialization while reducing the risk of depression. This study aims to elucidate whether regional digital economy can be a savior for individual depression. The multi-source dataset collects 11,845 individuals from the China Health and Retirement Longitudinal Study 2018 (CHARLS), with the combination of corresponding regional data from China City Statistical Yearbooks. A series of regressions with integrated mediation and moderation analyses are employed to bridge the link between the digital economy and depression. The results suggest that people living in areas with a higher level of digital economy are less likely to suffer from depression. The development of the digital economy helps people find solace or air grievances more easily, thereby reducing the risk of depression. Individual information and communications technology (ICT) engagement is found to mediate the relationship between the regional digital economy and individual depression. Residence type moderates the association between the three casual pairs of digital economy, ICT engagement, and depression. Improved digitization stimulates personal engagement with ICTs, which in turn expands social connections and support. Strengthened social interactions naturally keep depression away. Moreover, the urban-rural differences further confirm the underlying mechanism. Properly embracing the new digital world can therefore benefit from the transformative potential and mitigate depressive outcomes.
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Affiliation(s)
- Lu Chen
- School of Economics and Management, Tongji University, Shanghai 200092, China
| | - Le Chang
- Department of Acoustics, School of Physics, Nanjing University, Nanjing 210093, China
| | - Han Lin
- Business School, Hohai University, Nanjing 211100, China.
| | - Juan Tu
- Department of Acoustics, School of Physics, Nanjing University, Nanjing 210093, China.
| | - Yunyun Zhou
- Fox Chase Cancer Center, Temple University Health System, Philadelphia 19111, USA.
| | - Yilong Han
- School of Economics and Management, Tongji University, Shanghai 200092, China.
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Gao Y, Burns R, Leach L, Chilver MR, Butterworth P. Examining the mental health services among people with mental disorders: a literature review. BMC Psychiatry 2024; 24:568. [PMID: 39164690 PMCID: PMC11334396 DOI: 10.1186/s12888-024-05965-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 07/15/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND Mental disorders are a significant contributor to disease burden. However, there is a large treatment gap for common mental disorders worldwide. This systematic review summarizes the factors associated with mental health service use. METHODS PubMed, Scopus, and the Web of Science were searched for articles describing the predictors of and barriers to mental health service use among people with mental disorders from January 2012 to August 2023. The initial search yielded 3230 articles, 2366 remained after removing duplicates, and 237 studies remained after the title and abstract screening. In total, 40 studies met the inclusion and exclusion criteria. RESULTS Middle-aged participants, females, Caucasian ethnicity, and higher household income were more likely to access mental health services. The use of services was also associated with the severity of mental symptoms. The association between employment, marital status, and mental health services was inconclusive due to limited studies. High financial costs, lack of transportation, and scarcity of mental health services were structural factors found to be associated with lower rates of mental health service use. Attitudinal barriers, mental health stigma, and cultural beliefs also contributed to the lower rates of mental health service use. CONCLUSION This systematic review found that several socio-demographic characteristics were strongly associated with using mental health services. Policymakers and those providing mental health services can use this information to better understand and respond to inequalities in mental health service use and improve access to mental health treatment.
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Affiliation(s)
- Yunqi Gao
- The National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
| | - Richard Burns
- The National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Liana Leach
- The National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Miranda R Chilver
- The National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Peter Butterworth
- School of Psychology, Deakin University, Melbourne, Australia
- Department of Health, Economics, Wellbeing and Society, Australian National University, Canberra, Australia
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Zeng Q, Ding J, Tu R, He H, Wang S, Huang Y, Wang Z, Chen Q, Lu G, Li Y. The mediating effect of depressive symptoms on the association between childhood friendship and physical function in middle-aged and older adults: Evidence from the China Health and Retirement Longitudinal Study (CHARLS). J Affect Disord 2024; 359:196-205. [PMID: 38777265 DOI: 10.1016/j.jad.2024.05.087] [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: 03/19/2023] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND This study examines the extent to which depressive symptoms mediate the link between childhood friendship (CF) and physical function among middle-aged and older adults in China. METHODS China Health and Retirement Longitudinal Study (CHARLS) data were used; specifically, CHARLS life history survey (conducted from June 1-December 31, 2014) and follow-up health survey (conducted from July 1-September 30, 2015) data were used. The Sobel test, Bootstrap test and multivariable logistic regression were performed to examine the mediating role of depressive symptoms (measured by the 10-item Center for Epidemiologic Studies Depression Scale) in the association between CF (measured by a standardized retrospective questionnaire) and physical function, which was measured by basic activities of daily living (BADL) disability, instrumental activities of daily living (IADL) disability, and grip strength. RESULTS A total of 12,170 participants aged 45 years or older were included in this cross-sectional study. After controlling for covariates, low-quality CF was associated with an increased prevalence of BADL disability (OR = 1.18; 95 % CI = 1.05-1.32), IADL disability (OR = 1.25; 95 % CI = 1.12-1.40), and low grip strength (OR = 1.21; 95 % CI = 1.09-1.34). The proportion of the mediating effect of depressive symptoms was 48 % for CF and BADL, 40 % for CF and IADL, and 11 % for CF and grip strength. Depressive symptoms and worse CF have a joint effect on BADL disability (OR = 3.30; 95 % CI = 2.82-3.85), IADL disability (OR = 3.52; 95 % CI = 3.03-4.09), and low grip strength (OR = 1.65; 95 % CI = 1.43-1.92). LIMITATIONS Not all potential confounding factors (such as childhood behavioural problems, genetic factors, and memory function) were measured in the analysis, and there may have been recall bias in the retrospective collection of CF data. CONCLUSIONS Individuals with high-quality CF were more likely to have a decreased prevalence of impaired physical function in later life. Depressive symptoms acted as a mediator associated with the development of CF.
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Affiliation(s)
- Qingping Zeng
- Neuro-Intensive Care Unit, Department of Neurosurgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China; School of Nursing, Medical College of Yangzhou University, Yangzhou University, China
| | - Jiali Ding
- School of Nursing, Medical College of Yangzhou University, Yangzhou University, China
| | - Raoping Tu
- School of Health Management, Fujian Medical University, Fuzhou, Fujian, China
| | - Huihui He
- School of Nursing, Medical College of Yangzhou University, Yangzhou University, China
| | - Suhang Wang
- School of Nursing, Medical College of Yangzhou University, Yangzhou University, China
| | - Yujia Huang
- Neuro-Intensive Care Unit, Department of Neurosurgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Zhiyao Wang
- Neuro-Intensive Care Unit, Department of Neurosurgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Qi Chen
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, China
| | - Guangyu Lu
- School of Public Health, Medical College of Yangzhou University, Yangzhou University, China.
| | - Yuping Li
- Neuro-Intensive Care Unit, Department of Neurosurgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
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Li HX, Chen X, Wang ZH, Lu B, Liao YF, Li XY, Wang YW, Liu YS, Castellanos FX, Yan CG. Characterizing human spontaneous thoughts and its application in major depressive disorder. J Affect Disord 2024; 365:276-284. [PMID: 39147154 DOI: 10.1016/j.jad.2024.08.060] [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: 02/26/2024] [Revised: 06/25/2024] [Accepted: 08/11/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Spontaneous thought is a universal, complex, and heterogeneous cognitive activity that significantly impacts mental activity and strongly correlates with mental disorders. METHODS Utilizing the think-aloud method, we captured spontaneous thoughts during rest from 38 diagnosed with depression, alongside 36 healthy controls and 137 healthy individuals. Through a comprehensive assessment of various dimensions of thought content, we compared thought content between individuals with depression and healthy controls, and between healthy women and men. Finally, we employed natural language processing (NLP) to develop regression models for multidimensional content assessment and a classification model to differentiate between individuals with and without depression. RESULTS Compared to healthy controls, individuals with depression had more internally oriented and less externally oriented spontaneous thoughts. They focused more on themselves and negative things, and less on positive things, experiencing higher levels of negative emotions and lower levels of positive emotions. Besides, we found that compared to healthy men, healthy women's spontaneous thoughts focus more on interoception, the self, past events, and negative events, and they experience higher levels of negative emotions. Meanwhile, we identified the potential application of the think-aloud method to collect spontaneous thoughts and integrate NLP in the field of depression. CONCLUSIONS This study offers direct insights into the stream of thought during individuals' resting state, revealing differences between individuals with depression and healthy controls, as well as sex differences in the content of spontaneous thoughts. It enhances our understanding of spontaneous thought and offers a new perspective for preventing, diagnosing, and treating depression.
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Affiliation(s)
- Hui-Xian Li
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Zi-Han Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Bin Lu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yi-Fan Liao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yu-Wei Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yan-Song Liu
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Robert I. Grossman School of Medicine, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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Zhang C, Zhao Y, Li X, Guo Y, Peng R, Wan X, Zhou Q, Yang J, Wu S, Feng H. The effect of self-rated health on depressive symptoms in Chinese older adults: The mediating role of social participation and spouse health. Geriatr Nurs 2024; 59:411-417. [PMID: 39141948 DOI: 10.1016/j.gerinurse.2024.07.033] [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: 05/05/2024] [Revised: 07/05/2024] [Accepted: 07/30/2024] [Indexed: 08/16/2024]
Abstract
This study investigates the relationship between self-rated health, social participation, spouse health, and depressive symptoms in older adults. It also analyzed the moderating effects of gender, drinking, visual function, diet, quality of life, and economic level on the model. We analyzed data from 5119 participants aged 60 and above, from the CLHLS. We used a partial least squares structural equation model to explore the correlation between self-rated health, spouse health, social participation, and depressive symptoms. Self-rated health was significantly correlated with spouse health, social participation, and depressive symptoms (P < 0.001). Social participation (β=-0.034) and spouse health (β=-0.029) were mediators of self-rated health to depressive symptoms. In addition, gender, drinking, visual function, diet, quality of life, and economic level were mediated factors. This study provides evidence that self-rated health has direct or indirect associations with depressive symptoms in older people, with social participation and spouse health playing a crucial mediating role.
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Affiliation(s)
- Chi Zhang
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Yinan Zhao
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Xiaoyang Li
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Yongzhen Guo
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Ruotong Peng
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Xiao Wan
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Qin Zhou
- Geriatric Department, Hunan Province Directly Affiliated TCM Hospital, Zhuzhou, China
| | - Juan Yang
- School of Nursing, Hunan Traditional Chinese Medical College, Zhuzhou, China
| | - Siliang Wu
- Geriatric Department, Hunan Province Directly Affiliated TCM Hospital, Zhuzhou, China
| | - Hui Feng
- Xiangya School of Nursing, Central South University, Changsha, China; Xiangya-Oceanwide Health Research Institute, Central South University, Changsha, China; Hunan Engineering Research Center for Intelligent Medical Care, Central South University, Changsha, China.
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12
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Tang T, Fu Z, Jiang J. The effects of psychosocial interventions on geriatric depression in the mainland of China: A systematic review and meta-analysis. J Affect Disord 2024:S0165-0327(24)01251-5. [PMID: 39142589 DOI: 10.1016/j.jad.2024.08.037] [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: 04/25/2023] [Revised: 07/20/2024] [Accepted: 08/11/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND The effectiveness of psychosocial interventions for geriatric depression across different treatment settings, regions, and comorbidities in China remains unclear. Therefore, we systematically reviewed studies geared towards reducing geriatric depression in China. METHODS Nine databases in Chinese or English from database were searched from inception through January 2021. Randomized controlled trials investigating psychosocial interventions on older adults with depression in China were included. The primary outcome was post-intervention depression measured by self-report instruments. Random-effect model was used to pool the overall effect size Hedge's g. RESULTS In 99 studies with a total of 9369 older adults with depression, psychosocial interventions were effective compared with control conditions (Hedges' g: -1·48 [95 % CI: -1·83 to -1·13]). Comorbidity with physical disease significantly affect the pooled effect size (without comorbidity: Hedges' g = -1.19, 95 % CI: -1.42 to -0.95; with comorbidity: Hedges' g = -2.06, 95 % CI: -2.97 to -1.14; p = 0.062), and heterogeneity was substantial (without comorbidity, I2 = 91·3 %, 95 % CI: 89·5 % to 92·7 %; with comorbidity, I2 = 94·3 %, 95 % CI: 93·1 % to 95·4 %). The quality of evidence according to the GRADE criteria was generally moderate. LIMITATIONS Significant heterogeneity among the studies reviewed was unavoidable, and the possible publication bias could lead to overestimation of the result. CONCLUSION Psychosocial interventions are significantly effective for treating geriatric depression in China regardless of the setting, region, or therapeutic orientation. Policies should support the development and implementation of psychosocial interventions in China, especially in community settings, to reduce disease burden.
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Affiliation(s)
- Tan Tang
- School of Ethnology and Sociology, Yunnan University, Yunnan, China
| | - Zhongfang Fu
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.
| | - Jianling Jiang
- Department of Social Work, The Chinese University of Hong Kong, Hong Kong
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An R, Cui L, Yang L, Zhang H, Qi S, Guo H. Hearing Loss and Depressive Symptoms Among Community-Dwelling Older Adults - Liaoning, Henan, and Guangdong Provinces, China, 2019-2020. China CDC Wkly 2024; 6:811-815. [PMID: 39157044 PMCID: PMC11325095 DOI: 10.46234/ccdcw2024.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 07/22/2024] [Indexed: 08/20/2024] Open
Abstract
What is already known about this topic? More than half of Chinese older adults over 60 are suffering from hearing loss (HL), which might increase the risk of depressive symptoms. What is added by this report? The results indicated a significant association between severe or profound HL and depressive symptoms, characterized by notable age and gender disparities, particularly among women aged 60-74 years old. What are the implications for public health practice? Timely intervention and treatment for elderly individuals with HL, particularly younger female elders suffering from severe or profound HL, are pivotal in reducing depressive symptom rates and are key policy considerations.
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Affiliation(s)
- Ran An
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lu Cui
- School of Public Health, Capital Medical University, Beijing, China
| | - Liyuan Yang
- Chengnan Community Health Service Center of Changping District, Beijing, China
| | - Han Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shige Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haoyan Guo
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
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14
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Zhu X, Wang Y, Luo Y, Ding R, Shi Z, He P. Bidirectional, longitudinal associations between depressive symptoms and IADL/ADL disability in older adults in China: a national cohort study. BMC Geriatr 2024; 24:659. [PMID: 39107705 PMCID: PMC11301930 DOI: 10.1186/s12877-024-05248-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION Based on the data from the China Health and Retirement longitudinal study (CHARLS), we aimed to investigate the bidirectional relationship between depressive symptoms and functional disability. METHODS Data were collected across 3 waves from 2013 to 2018. The activities of daily living (ADLs) and the instrumental activities of daily living (IADLs) scales were used to measure functional disability and the CESD-10 was used to measure depressive symptoms. Cross-lagged models were performed to examine cross effect between depressive symptoms and functional disability across three waves. RESULTS Data on 10,092(mean [SD] age, 61.98[8.44] years; 3764 females [37.30%]) and 10,180 participants (mean [SD] age, 62.01[8.46] years; 3788 females [37.21%]) in IADL sample and ADL sample were included in the analyses. For IADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes in CESD-10 score across waves were associated with worse IADL disability (β ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (β ranges: 0.09-0.10). For ADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes of CESD-10 score across waves were associated with worse IADL disability (β ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (β ranges: 0.09-0.10). DISCUSSION Study findings underscore a significant bidirectional between depressive symptoms and functional disability in older adults. Thus, simultaneous intervention should be taken to manage the mutual development of functional disability and depression.
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Affiliation(s)
- Xuequan Zhu
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Xicheng District, Beijing, 100088, China
| | - Yanshang Wang
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
| | - Yanan Luo
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
| | - Ruoxi Ding
- Peking University Sixth Hospital, Haidian District, 38 Huayuan North Road, Beijing, 100191, China
| | - Zhenyu Shi
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
| | - Ping He
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
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15
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Yu H, Li X, Zhang Q, Geng L, Su B, Wang Y. miR-143-3p modulates depressive-like behaviors via Lasp1 in the mouse ventral hippocampus. Commun Biol 2024; 7:944. [PMID: 39098885 PMCID: PMC11298515 DOI: 10.1038/s42003-024-06639-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 07/26/2024] [Indexed: 08/06/2024] Open
Abstract
Depression is a prevalent and intricate mental disorder. The involvement of small RNA molecules, such as microRNAs in the pathogenesis and neuronal mechanisms underlying the depression have been documented. Previous studies have demonstrated the involvement of microRNA-143-3p (miR-143-3p) in the process of fear memory and pathogenesis of ischemia; however, the relationship between miR-143-3p and depression remains poorly understood. Here we utilized two kinds of mouse models to investigate the role of miR-143-3p in the pathogenesis of depression. Our findings reveal that the expression of miR-143-3p is upregulated in the ventral hippocampus (VH) of mice subjected to chronic restraint stress (CRS) or acute Lipopolysaccharide (LPS) treatment. Inhibiting the expression of miR-143-3p in the VH effectively alleviates depressive-like behaviors in CRS and LPS-treated mice. Furthermore, we identify Lasp1 as one of the downstream target genes regulated by miR-143-3p. The miR-143-3p/Lasp1 axis primarily affects the occurrence of depressive-like behaviors in mice by modulating synapse numbers in the VH. Finally, miR-143-3p/Lasp1-induced F-actin change is responsible for the synaptic number variations in the VH. In conclusion, this study enhances our understanding of microRNA-mediated depression pathogenesis and provides novel prospects for developing therapeutic approaches for this intractable mood disorder.
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Affiliation(s)
- Hui Yu
- Department of Cell Biology, Shandong Provincial Key Laboratory of Mental Disorders, School of Basic Medical Sciences, Shandong University, 250012, Jinan, Shandong, China
| | - Xiaobing Li
- Medical Experimental Center, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, 250000, Jinan, China
- Department of Human Anatomy Histology and Embryology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, China
| | - Qiyao Zhang
- Medical Experimental Center, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, 250000, Jinan, China
| | - Lian Geng
- Department of Cell Biology, Shandong Provincial Key Laboratory of Mental Disorders, School of Basic Medical Sciences, Shandong University, 250012, Jinan, Shandong, China
| | - Bo Su
- Department of Cell Biology, Shandong Provincial Key Laboratory of Mental Disorders, School of Basic Medical Sciences, Shandong University, 250012, Jinan, Shandong, China.
| | - Yue Wang
- Medical Experimental Center, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, 250000, Jinan, China.
- Department of Human Anatomy Histology and Embryology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, China.
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16
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Ben-Arye E, Lopez G, Rassouli M, Ortiz M, Cramer H, Samuels N. Cross-Cultural Patient Counseling and Communication in the Integrative Medicine Setting: Respecting the Patient's Health Belief Model of Care. Curr Psychiatry Rep 2024; 26:422-434. [PMID: 38884698 PMCID: PMC11294382 DOI: 10.1007/s11920-024-01515-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/28/2024] [Indexed: 06/18/2024]
Abstract
PURPOSE OF REVIEW Communicating effectively with patients having a traditional, alternative or complementary medicine-related health-belief model is challenging in today's cross-cultural society. This narrative review explores the integrative medicine setting of care, focusing on insights from the integrative oncology daily practice, while addressing the relevance to the mental health setting. The way in which healthcare providers can enhance cultural-sensitive communication with patients and informal caregivers; recognize and respect health-beliefs to bridge cultural gaps; and generate an open, non-judgmental and mindful dialogue are discussed. RECENT FINDINGS Identifying cross-cultural barriers to healthcare provider-patient communication is important in order to address the potential for conflict between conventional and "alternative" health beliefs; difficulties in creating a shared-decision making process; disagreement on therapeutic goals and treatment plan; and finally, the potential for non-compliance or non-adherence to the conventional oncology treatment. Acquiring intercultural competencies is needed at all stages of medical education, and should be implemented in medical and nursing curricula, as well as during specialization and sub-specialization. As with patient-centered paradigms of care, integrative medicine entails a dual patient-centered and sensitive-cultural approach, based on a comprehensive bio-psycho-social-spiritual model of care.
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Affiliation(s)
- Eran Ben-Arye
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
- Integrative Oncology Program, The Oncology Service, Lin, Zebulun, and Carmel Medical Centers, Clalit Health Services, Haifa, Israel.
| | - Gabriel Lopez
- Department of Palliative, Rehabilitation and Integrative Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Maryam Rassouli
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Teheran, Iran
| | - Miriam Ortiz
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
| | - Holger Cramer
- Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
- Robert Bosch Center for Integrative Medicine and Health, Bosch Health Campus, Stuttgart, Germany
| | - Noah Samuels
- Center for Integrative Complementary Medicine, Shaarei Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
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Yuan L, Jiang Q, Liu Y, Liu Y, Du M, Sun J, Li M. Decomposition Analysis of Depressive Symptom Differences Among Older Adults With Hypertension Between Urban and Rural Areas: Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e52536. [PMID: 39092523 PMCID: PMC11303882 DOI: 10.2196/52536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 05/30/2024] [Accepted: 05/30/2024] [Indexed: 08/04/2024] Open
Abstract
Background Hypertension is the most prevalent chronic disease among China's older population, which comprises a growing proportion of the overall demographic. Older individuals with chronic diseases have a higher risk of developing depressive symptoms than their healthy counterparts, as evidenced in China's older population, where patients with hypertension exhibit varying rates of depression depending on residing in urban or rural areas. Objective This study aimed to investigate factors influencing and contributing to the disparities in depressive symptoms among older urban and rural patients with hypertension in China. Methods We used a cross-sectional study design and derived data from the 8th Chinese Longitudinal Health Longevity Survey of 2018. The Fairlie model was applied to analyze the factors contributing to disparities in depressive symptoms between urban and rural older populations with hypertension. Results The sample size for this study was 5210, and 12.8% (n=669) of participants exhibited depressive symptoms. The proportions of depressive symptoms in rural and urban areas were 14.1% (n=468) and 10.7% (n=201), respectively. In rural areas, years of education (1-6 years: odds ratio [OR] 0.68, 95% CI 1.10-1.21; ≥7 years: OR 0.47, 95% CI 0.24-0.94), alcohol consumption (yes: OR 0.52, 95% CI 0.29-0.93), exercise (yes: OR 0.78, 95% CI 0.56-1.08), and sleep duration (6.0-7.9 hours: OR 0.29, 95% CI 0.17-0.52; 8.0-9.9 hours: OR 0.24, 95% CI 0.13-0.43; ≥10.0 hours: OR 0.22, 95% CI 0.11-0.41) were protective factors against depressive symptoms in older adults with hypertension, while gender (female: OR 1.94, 95% CI 1.33-2.81), self-reported income status (poor: OR 3.07, 95% CI 2.16-4.37), and activities of daily living (ADL) dysfunction (mild: OR 1.69, 95% CI 1.11-2.58; severe: OR 3.03, 95% CI 1.46-6.32) were risk factors. In urban areas, age (90-99 years: OR 0.37, 95% CI 0.16-0.81; ≥100 years: OR 0.19, 95% CI 0.06-0.66), exercise (yes: OR 0.33, 95% CI 0.22-0.51), and sleep duration (6.0-7.9 hours: OR 0.27, 95% CI 0.10-0.71; 8.0-9.9 hours: OR 0.16, 95% CI 0.06-0.44; ≥10.0 hours: OR 0.18, 95% CI 0.06-0.57) were protective factors, while years of education (1-6 years: OR 1.91, 95% CI 1.05-3.49), self-reported income status (poor: OR 2.94, 95% CI 1.43-6.08), and ADL dysfunction (mild: OR 2.38, 95% CI 1.39-4.06; severe: OR 3.26, 95% CI 1.21-8.76) were risk factors. The Fairlie model revealed that 91.61% of differences in depressive symptoms could be explained by covariates, including years of education (contribution 63.1%), self-reported income status (contribution 13.2%), exercise (contribution 45.7%), sleep duration (contribution 20.8%), ADL dysfunction (contribution -9.6%), and comorbidities (contribution -22.9%). Conclusions Older patients with hypertension in rural areas had more depressive symptoms than their counterparts residing in urban areas, which could be explained by years of education, self-reported income status, exercise, sleep duration, ADL dysfunction, and comorbidities. Factors influencing depressive symptoms had similarities regarding exercise, sleep duration, self-reported income status, and ADL dysfunction as well as differences regarding age, gender, years of education, and alcohol consumption.
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Affiliation(s)
- Lei Yuan
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, China, 86 021 81871450
| | - Qinqin Jiang
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, China, 86 021 81871450
| | - Yuqing Liu
- Department of Emergency, Naval Medical Center, Naval Medical University, Shanghai, China
| | - Yijun Liu
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, China, 86 021 81871450
| | - Maolin Du
- Department of Office, Naval Medical University, Shanghai, China
| | - Jinhai Sun
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, No. 800 Xiangyin Road, Shanghai, 200433, China, 86 021 81871450
| | - Meina Li
- Department of Military Health Service, Faculty of Military Health Service, Naval Medical University, Shanghai, China
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Shi R, Li Y, Zhu W, Xin H, Yang H, Feng X, Wang Z, Li S, Cong B, Shi W. The Regulation of Frontal Cortex Cholesterol Metabolism Abnormalities by NR3C1/NRIP1/NR1H2 Is Involved in the Occurrence of Stress-Induced Depression. Int J Mol Sci 2024; 25:8075. [PMID: 39125645 PMCID: PMC11311262 DOI: 10.3390/ijms25158075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/12/2024] [Accepted: 07/22/2024] [Indexed: 08/12/2024] Open
Abstract
Stress-induced alterations in central neuron metabolism and function are crucial contributors to depression onset. However, the metabolic dysfunctions of the neurons associated with depression and specific molecular mechanisms remain unclear. This study initially analyzed the relationship between cholesterol and depression using the NHANES database. We then induced depressive-like behaviors in mice via restraint stress. Applying bioinformatics, pathology, and molecular biology, we observed the pathological characteristics of brain cholesterol homeostasis and investigated the regulatory mechanisms of brain cholesterol metabolism disorders. Through the NHANES database, we initially confirmed a significant correlation between cholesterol metabolism abnormalities and depression. Furthermore, based on successful stress mouse model establishment, we discovered the number of cholesterol-related DEGs significantly increased in the brain due to stress, and exhibited regional heterogeneity. Further investigation of the frontal cortex, a brain region closely related to depression, revealed stress caused significant disruption to key genes related to cholesterol metabolism, including HMGCR, CYP46A1, ACAT1, APOE, ABCA1, and LDLR, leading to an increase in total cholesterol content and a significant decrease in synaptic proteins PSD-95 and SYN. This indicates cholesterol metabolism affects neuronal synaptic plasticity and is associated with stress-induced depressive-like behavior in mice. Adeno-associated virus interference with NR3C1 in the prefrontal cortex of mice subjected to short-term stress resulted in reduced protein levels of NRIP1, NR1H2, ABCA1, and total cholesterol content. At the same time, it increased synaptic proteins PSD95 and SYN, effectively alleviating depressive-like behavior. Therefore, these results suggest that short-term stress may induce cholesterol metabolism disorders by activating the NR3C1/NRIP1/NR1H2 signaling pathway. This impairs neuronal synaptic plasticity and consequently participates in depressive-like behavior in mice. These findings suggest that abnormal cholesterol metabolism in the brain induced by stress is a significant contributor to depression onset.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Bin Cong
- Collaborative Innovation Center of Forensic Medical Molecular Identification, Hebei Key Laboratory of Forensic Medicine, Department of Forensic Medicine, Hebei Medical University, Shijiazhuang 050017, China; (R.S.); (Y.L.); (W.Z.); (H.X.); (H.Y.); (X.F.); (Z.W.); (S.L.)
| | - Weibo Shi
- Collaborative Innovation Center of Forensic Medical Molecular Identification, Hebei Key Laboratory of Forensic Medicine, Department of Forensic Medicine, Hebei Medical University, Shijiazhuang 050017, China; (R.S.); (Y.L.); (W.Z.); (H.X.); (H.Y.); (X.F.); (Z.W.); (S.L.)
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Yuan W, Jiang Z, Liu Y, Chen Z, Chu X, Song Y. Comprehensively Strengthen and Improve Students' Mental Health System in the New Era. China CDC Wkly 2024; 6:719-722. [PMID: 39050018 PMCID: PMC11264052 DOI: 10.46234/ccdcw2024.162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/24/2024] [Indexed: 07/27/2024] Open
Affiliation(s)
- Wen Yuan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Zhuojun Jiang
- Training and Outreach Division, National Center for Mental Health, Beijing, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Ziyue Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Xiaohan Chu
- Training and Outreach Division, National Center for Mental Health, Beijing, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
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Hao X, Wang A. Development and validation of a prediction nomogram for depressive symptoms in gout patients. Front Public Health 2024; 12:1356814. [PMID: 39100954 PMCID: PMC11295276 DOI: 10.3389/fpubh.2024.1356814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 07/03/2024] [Indexed: 08/06/2024] Open
Abstract
Objective The objective of the study was to explore the risk factors for depressive symptoms in patients with gout and to construct and validate a nomogram model. Methods From October 2022 to July 2023, a total of 469 gout patients from a Class iii Grade A hospital in Northeast China were selected as the research objects by the convenience sampling method. The General Information Questionnaire, Self-Rating Depression Scale, Gout Knowledge Questionnaire, Self-Efficacy Scale for Managing Chronic Disease (SEMCD), and Social Support Rating Scale were used to conduct the survey. Univariate and multivariate logistic regression analyses were used to establish a depression risk prediction model and construct a nomogram. The bootstrap method was used to verify the performance of the model. Results The detection rate of depressive symptoms in gout patients was 25.16%. Binary logistic regression analysis showed that male, the number of tophi, acute attack period, lack of knowledge about gout, the number of attacks in the past year, and the duration of the last attack were independent risk factors for post-gout depression. Female, interictal period, chronic arthritis period, knowledge of gout, and social support were protective factors for post-gout depression (p < 0.05). The calibration (χ2 = 11.348, p = 0.183, p > 0.05) and discrimination (AUC = 0.858, 95%CI: 0.818-0.897) of the nomogram model for depressive symptoms in gout patients were good. Conclusion The prevalence of depressive symptoms in gout patients is high, and it is affected by gender, current disease stage, number of tophi, gout knowledge level, the number of attacks in the past year, and the last attack days. The nomogram model is scientific and practical for predicting the occurrence of depressive symptoms in gout patients.
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Affiliation(s)
- Xinyi Hao
- Public Service Department, The First Hospital of China Medical University, Shenyang, China
- Nursing Department, Peking Union Medical College Hospital, Peking, China
| | - Aiping Wang
- Public Service Department, The First Hospital of China Medical University, Shenyang, China
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21
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Chen Y, Chen X, Zhang J, Zhang X, Wang D, Lu N, Wang C, Yue Y, Yuan Y. Network pharmacology and experimental evidence: ERK/CREB/BDNF signaling pathway is involved in the antidepressive roles of Kaiyu Zhishen decoction. JOURNAL OF ETHNOPHARMACOLOGY 2024; 329:118098. [PMID: 38582152 DOI: 10.1016/j.jep.2024.118098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 04/08/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Major Depressive Disorder (MDD) emerges as a complex psychosomatic condition, notable for its considerable suicidality and mortality rates. Increasing evidence suggests the efficacy of Chinese herbal medicine in mitigating depression symptoms and offsetting the adverse effects associated with conventional Western therapeutics. Notably, clinical trials have revealed the adjunctive antidepressant potential of Kaiyu Zhishen Decoction (KZD) alongside Western medication. However, the standalone antidepressant efficacy of KZD and its underlying mechanisms merit in-depth investigation. AIM OF THE STUDY This research aims to elucidate the impact of KZD on MDD and delineate its mechanistic pathways through integrated network pharmacological assessments and empirical in vitro and in vivo analyses. MATERIALS AND METHODS To ascertain the optimal antidepressant dosage and mechanism of KZD, a Chronic Unpredictable Mild Stress (CUMS)-induced depression model in mice was established to evaluate depressive behaviors. High-Performance Liquid Chromatography (HPLC) and network pharmacological approaches were employed to predict KZD's antidepressant mechanisms. Subsequently, hippocampal samples were subjected to 4D-DIA proteomic sequencing and validated through Western blot, immunofluorescence, Nissl staining, and pathway antagonist applications. Additionally, cortisol-stimulated PC12 cells were utilized to simulate neuronal damage, analyzing protein and mRNA levels of MAPK-related signals and cell proliferation markers. RESULTS The integration of network pharmacology and HPLC identified kaempferol and quercetin as KZD's principal active compounds for MDD treatment. Proteomic and network pharmacological KEGG pathway analyses indicated the MAPK signaling pathway as a critical regulatory mechanism for KZD's therapeutic effect on MDD. KZD was observed to mitigate CUMS-induced upregulation of p-ERK/ERK, CREB, and BDNF protein expressions in hippocampal cells by attenuating oxidative stress, thereby ameliorating neuronal damage and exerting antidepressant effects. The administration of PD98059 counteracted KZD's improvements in depression-like behaviors and downregulated p-ERK/ERK and BDNF protein expressions in the hippocampus. CONCLUSIONS This investigation corroborates KZD's pivotal, dose-dependent role in antidepressant activity. Both in vivo and in vitro experiments demonstrate KZD's capacity to modulate the ERK-CREB-BDNF signaling pathway by diminishing ROS expression induced by oxidative stress, enhancing neuronal repair, and thus, manifesting antidepressant properties. Accordingly, KZD represents a promising herbal candidate for further antidepressant research.
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Affiliation(s)
- Ying Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Xiangxu Chen
- Department of Orthopaedics, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Jialin Zhang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Xuejun Zhang
- Department of Orthopaedics, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Dan Wang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Na Lu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China
| | - Changsong Wang
- Department of Internal Medicine of Chinese Medicine, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China.
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu, 210009, China.
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Min Y, Wei X, Yang C, Duan Z, Yang J, Ju K, Peng X. Associations and attributable burdens in late-life exposure to PM 2.5 and its major components and depressive symptoms in middle-aged and older adults: A nationwide cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 280:116531. [PMID: 38852465 DOI: 10.1016/j.ecoenv.2024.116531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 04/21/2024] [Accepted: 05/29/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Depression in late life has been associated with reduced quality of life and increased mortality. Whether the chronic fine particular matter (PM2.5) and its components exposure are contributed to the older depression symptoms remains unclear. METHOD Middle-aged and older adults (>45 years) were selected from the China Health and Retirement Longitudinal Study during the four waves of interviews. The concentrations of PM2.5 and its major constituents were calculated using near real-time data at a spatial resolution of 10 km during the study period. The depressive symptom was evaluated by the Depression Center for Epidemiologic Studies Depression (CES-D)-10 score. The fix-effect model was applied to evaluate the association between PM2.5 and its major constituents with depressive symptoms. Three three-step methods were used to explore the modification role of sleep duration against the depressive symptoms caused by PM2.5 exposure. RESULTS In our study, a total of 52,683 observations of 16,681 middle-aged and older adults were assessed. Each interquartile range (IQR) level of PM2.5 concentration exposure was longitudinally associated with a 2.6 % (95 % confidence interval [CI]: 1.3 %, 4.0 %) increase in the depression CES-D-10 score. Regarding the major components of PM2.5, OM, NO3-, and NH4+ showed the leading toxicity effects, which could increase the depression CES-D-10 score by 2.2 % (95 %CI: 1.0 %, 3.4 %), 2.2 % (0.6 %, 3.9 %), and 2.0 % (95 %CI: 0.6 %, 3.4 %) correspondingly. Besides, males were more susceptible to the worse depressive symptoms caused by PM2.5 and its major components exposure than female subpopulations. Shortened sleep duration might be the mediator of PM2.5-associated depressive symptoms. CONCLUSION Our results suggest that long-term exposure to PM2.5 and its major components were associated with an increased risk for depressive symptoms in middle-aged and older adults. Reducing the leading components of PM2.5 may cost-effectively alleviate the disease burden of depression and promote healthy longevity in heavy pollutant countries.
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Affiliation(s)
- Yu Min
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyuan Wei
- Department of Head and Neck Oncology, Department of Radiation Oncology, Cancer Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Chenyu Yang
- Department of Big Data in Health Science, School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhongxin Duan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jingguo Yang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ke Ju
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Xingchen Peng
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
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Chen MY, Bai W, Wu XD, Sha S, Su Z, Cheung T, Pang Y, Ng CH, Zhang Q, Xiang YT. The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS). J Affect Disord 2024; 356:450-458. [PMID: 38608763 DOI: 10.1016/j.jad.2024.04.035] [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: 12/04/2023] [Revised: 03/18/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
OBJECTIVE Both depression and insomnia are found to be more prevalent in cancer patients compared to the general population. This study compared the network structures of depression and insomnia among cancer patients versus cancer-free participants (controls hereafter). METHOD The 8-item Center for Epidemiological Studies Depression Scale (CESD-8) and the 4-item Jenkins Sleep Scale (JSS-4) were used to measure depressive and insomnia symptoms, respectively. Propensity score matching (PSM) was used to construct the control group using data from the Health and Retirement Study (HRS). In total, a sample consisting of 2216 cancer patients and 2216 controls was constructed. Central (influential) and bridge symptoms were estimated using the expected influence (EI) and bridge expected influence (bridge EI), respectively. Network stability was assessed using the case-dropping bootstrap method. RESULT The prevalence of depression (CESD-8 total score ≥ 4) in cancer patients was significantly higher compared to the control group (28.56 % vs. 24.73 %; P = 0.004). Cancer patients also had more severe depressive symptoms relative to controls, but there was no significant group difference for insomnia symptoms. The network structures of depressive and insomnia symptoms were comparable between cancer patients and controls. "Felt sadness" (EI: 6.866 in cancer patients; EI: 5.861 in controls), "Felt unhappy" (EI: 6.371 in cancer patients; EI: 5.720 in controls) and "Felt depressed" (EI: 6.003 in cancer patients; EI: 5.880 in controls) emerged as the key central symptoms, and "Felt tired in morning" (bridge EI: 1.870 in cancer patients; EI: 1.266 in controls) and "Everything was an effort" (bridge EI: 1.046 in cancer patients; EI: 0.921 in controls) were the key bridge symptoms across both groups. CONCLUSION Although cancer patients had more frequent and severe depressive symptoms compared to controls, no significant difference was observed in the network structure or strength of the depressive and insomnia symptoms. Consequently, psychosocial interventions for treating depression and insomnia in the general population could be equally applicable for cancer patients who experience depression and insomnia.
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Affiliation(s)
- Meng-Yi Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Wei Bai
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University
| | - Xiao-Dan Wu
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ying Pang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.
| | - Qinge Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
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Wu Y, Yu X, Zhu Y, Shi C, Li X, Jiang R, Niu S, Gao P, Li S, Yan L, Maulik PK, Guo G, Patel A, Gao R, Blumenthal JA. Integrating depression and acute coronary syndrome care in low resource hospitals in China: the I-CARE randomised clinical trial. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 48:101126. [PMID: 39040037 PMCID: PMC11261764 DOI: 10.1016/j.lanwpc.2024.101126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 05/13/2024] [Accepted: 06/11/2024] [Indexed: 07/24/2024]
Abstract
Background Acute coronary syndrome (ACS) often co-occurs with depression, which adversely affects prognosis and increases medical costs, but effective treatment models are lacking, particularly in low-resource settings. This study aims to determine the effectiveness of an ACS and depression integrative care (IC) model compared to usual care (UC) in improving depression symptoms and other health outcomes among patients discharged for ACS in Chinese rural hospitals. Methods A multicentre, randomised controlled trial was conducted in sixteen rural county hospitals in China, from October 2014 to March 2017, to recruit consecutively all ACS patients aged 21 years and older after the disease stablised and before discharge. Patients were randomly assigned in a 1:1 ratio to receive either the IC or UC, stratified by hospital and depression severity. Patients allocated to IC received an ACS secondary prevention program and depression care including case screening, group counselling, and individual problem-solving therapy. Patients allocated to UC received usual care. The primary outcome was change in Patient Health Questionnaire-9 (PHQ-9) from baseline to 6 and 12 months. Main secondary outcomes included major adverse events (MAEs) composed of all-cause death, non-fatal myocardial infarction and stroke, and all-cause re-hospitalisation. Participants were followed up till March 2018. All data were collected in person by trained assessors blinded to treatment group and MAEs were adjudicated centrally. This trial is registered with ClinicalTrials.gov, NCT02195193. Findings Among 4041 eligible patients (IC: 2051; UC: 1990), the mean age was 61 ± 10 years and 63% were men. The mean PHQ-9 score lowered at both 6 and 12 months in both groups but was not lower in IC compared to UC at 6 months (mean difference (MD): -0.04, 95% confidence interval (CI): -0.20, 0.11) or 12 months (MD: -0.06, 95% CI: -0.21, 0.09). There were no treatment group differences for MAEs or other secondary outcomes except for secondary prevention medications at 12 months (45.2% in IC vs 40.8% in UC; relative risk: 1.21, 95% CI: 1.05-1.40). Pre-specified subgroup analyses showed that IC, compared to UC, may be more effective in lowering PHQ-9 scores in women, older patients, and patients with low social support, but less effective in moderately and severely depressed patients (all p for interaction <0.05). Interpretation The study found that the cardiology nurse-led ACS- and depression-integrated care, compared to usual care, did not improve depression symptoms in all patients discharged with ACS. Greater benefits in certain subgroups warrants further studies. Funding R01MH100332 National Institute of Mental Health.
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Affiliation(s)
- Yangfeng Wu
- The George Institute for Global Health at Peking University Health Science Centre (PUHSC), Beijing, China
- Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Xin Yu
- Peking University Institute of Mental Health, National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yidan Zhu
- The George Institute for Global Health at Peking University Health Science Centre (PUHSC), Beijing, China
- Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Chuan Shi
- Peking University Institute of Mental Health, National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Xian Li
- The George Institute for Global Health at Peking University Health Science Centre (PUHSC), Beijing, China
| | - Ronghuan Jiang
- Department of Psychiatry, Chinese PLA (People's Liberation Army) Medical School, Beijing, China
| | - Sheng Niu
- Department of Psychiatry, Chinese PLA (People's Liberation Army) Medical School, Beijing, China
| | - Pei Gao
- Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Shenshen Li
- The George Institute for Global Health at Peking University Health Science Centre (PUHSC), Beijing, China
| | - Lijing Yan
- The Global Health Research Centre, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Pallab K. Maulik
- The George Institute for Global Health, New Delhi, India
- University of New South Wales, Sydney, Australia
| | - Guifang Guo
- Peking University School of Nursing, Beijing, China
| | - Anushka Patel
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Runlin Gao
- The Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - James A. Blumenthal
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Centre, Durham, NC, USA
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Tong J, Zhang K, Chen Z, Pan M, Shen H, Liu F, Xiang H. Effects of short- and long-term exposures to multiple air pollutants on depression among the labor force: A nationwide longitudinal study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172614. [PMID: 38663606 DOI: 10.1016/j.scitotenv.2024.172614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 04/04/2024] [Accepted: 04/17/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Depression prevalence has surged within the labor force population in recent years. While links between air pollutants and depression were explored, there was a notable scarcity of research focusing on the workforce. METHODS This nationwide longitudinal study analyzed 27,457 workers aged 15-64. We estimated monthly mean concentrations of fine particulate matter (PM2.5), its primary components, and Ozone (O3) at participants' residences using spatiotemporal models. To assess the relationship between short- (1 to 3 months) and long-term (1 to 2 years) exposure to various air pollutants and depressive levels and occurrences, we employed linear mixed-effects models and mixed-effects logistic regression. We considered potential occupational moderators, such as labor contracts, overtime compensation, and total annual income. RESULTS We found significant increases in depression risks within the workforce linked to both short- and long-term air pollution exposure. A 10 μg/m3 rise in 2-year average PM2.5, black carbon (BC), and O3 concentrations correlated with increments in depressive scores of 0.009, 0.173, and 0.010, and a higher likelihood of depression prevalence by 0.5 %, 12.6 %, and 0.7 %. The impacts of air pollutants and depression were more prominent in people without labor contracts, overtime compensation, and lower total incomes. CONCLUSION Exposures to air pollutants could increase the risk of depression in the labor force population. The mitigating effects of higher income, benefits, and job security against depression underscore the need for focused mental health interventions.
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Affiliation(s)
- Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Ke Zhang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Zhongyang Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Huanfeng Shen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
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Wang B, Li M, Haihambo N, Qiu Z, Sun M, Guo M, Zhao X, Han C. Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB). J Affect Disord 2024; 355:254-264. [PMID: 38561155 DOI: 10.1016/j.jad.2024.03.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 03/24/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND The diagnosis of major depressive disorder (MDD) is commonly based on the subjective evaluation by experienced psychiatrists using clinical scales. Hence, it is particularly important to find more objective biomarkers to aid in diagnosis and further treatment. Alpha-band activity (7-13 Hz) is the most prominent component in resting electroencephalogram (EEG), which is also thought to be a potential biomarker. Recent studies have shown the existence of multiple sub-oscillations within the alpha band, with distinct neural underpinnings. However, the specific contribution of these alpha sub-oscillations to the diagnosis and treatment of MDD remains unclear. METHODS In this study, we recorded the resting-state EEG from MDD and HC populations in both open and closed-eye state conditions. We also assessed cognitive processing using the MATRICS Consensus Cognitive Battery (MCCB). RESULTS We found that the MDD group showed significantly higher power in the high alpha range (10.5-11.5 Hz) and lower power in the low alpha range (7-8.5 Hz) compared to the HC group. Notably, high alpha power in the MDD group is negatively correlated with working memory performance in MCCB, whereas no such correlation was found in the HC group. Furthermore, using five established classification algorithms, we discovered that combining alpha oscillations with MCCB scores as features yielded the highest classification accuracy compared to using EEG or MCCB scores alone. CONCLUSIONS Our results demonstrate the potential of sub-oscillations within the alpha frequency band as a potential distinct biomarker. When combined with psychological scales, they may provide guidance relevant for the diagnosis and treatment of MDD.
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Affiliation(s)
- Bin Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, 100191 Beijing, China
| | - Meijia Li
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - Naem Haihambo
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - Zihan Qiu
- Avenues the World School Shenzhen Campus, Shenzhen 518000, China
| | - Meirong Sun
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Mingrou Guo
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong
| | - Xixi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, 100191 Beijing, China.
| | - Chuanliang Han
- School of Biomedical Sciences and Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong.
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Liu R, Liu C, Feng D, Guo T, Wang Y. Pharmacovigilance of esketamine nasal spray: an analysis of the FDA adverse event reporting system database. Front Pharmacol 2024; 15:1414703. [PMID: 38948465 PMCID: PMC11211360 DOI: 10.3389/fphar.2024.1414703] [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: 04/09/2024] [Accepted: 05/20/2024] [Indexed: 07/02/2024] Open
Abstract
Esketamine nasal spray (ESK-NS) is a new drug for treatment-resistant depression, and we aimed to detect and characterize the adverse events (AEs) of ESK-NS using the Food and Drug Administration (FDA) adverse event reporting system (FAERS) database between 2019 Q1 and 2023 Q4. Reporting odds ratio (ROR), proportional reporting ratio (PRR), and multi-item gamma Poisson shrinker (MGPS) were performed to detect risk signals from the FAERS data to identify potential ESK-NS-AEs associations. A total of 14,606 reports on AEs with ESK-NS as the primary suspected drug were analyzed. A total of 518 preferred terms signals and 25 system organ classes mainly concentrated in psychiatric disorders (33.20%), nervous system disorders (16.67%), general disorders and administration site conditions (14.21%), and others were obtained. Notably, dissociation (n = 1,093, ROR 2,257.80, PRR 899.64, EBGM 876.86) exhibited highest occurrence rates and signal intensity. Moreover, uncommon but significantly strong AEs signals, such as hand-eye coordination impaired, feeling guilty, and feelings of worthlessness, were observed. Additionally, dissociative disorder (n = 57, ROR 510.92, PRR 506.70, EBGM 386.60) and sedation (n = 688, ROR 172.68, PRR 155.53, and EBGM 142.05) both presented strong AE signals, and the former is not recorded in the Summary of Product Characteristics (SmPC). In clinical applications, close attention should be paid to the psychiatric disorders and nervous system disorders, especially dissociation. Meanwhile, clinical professionals should be alert for the occurrence of AEs signals not mentioned in the SmPC and take preventive measures to ensure the safety of clinical use.
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Affiliation(s)
| | | | | | | | - Ying Wang
- Tianjin Anding Hospital, Tianjin, China
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Wang W, Wang Y, Wang F, Chen H, Qin X, Yang L, Yang X, Yang L. Notable dysthymia: evolving trends of major depressive disorders and dysthymia in China from 1990 to 2019, and projections until 2030. BMC Public Health 2024; 24:1585. [PMID: 38872130 PMCID: PMC11170895 DOI: 10.1186/s12889-024-18943-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 05/23/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Depressive disorders have been identified as a significant contributor to non-fatal health loss in China. Among the various subtypes of depressive disorders, dysthymia is gaining attention due to its similarity in clinical severity and disability to major depressive disorders (MDD). However, national epidemiological data on the burden of disease and risk factors of MDD and dysthymia in China are scarce. METHODS This study aimed to evaluate and compare the incidence, prevalence, and disability-adjusted life-years (DALYs) caused by MDD and dysthymia in China between 1990 and 2019. The temporal trends of the depressive disorder burden were evaluated using the average annual percentage change. The comparative risk assessment framework was used to estimate the proportion of DALYs attributed to risk factors, and a Bayesian age-period-cohort model was applied to project the burden of depressive disorders. RESULTS From 1990 to 2019, the overall age-standardized estimates of dysthymia in China remained stable, while MDD showed a decreasing trend. Since 2006, the raw prevalence of dysthymia exceeded that of MDD for the first time, and increased alternately with MDD in recent years. Moreover, while the prevalence and burden of MDD decreased in younger age groups, it increased in the aged population. In contrast, the prevalence and burden of dysthymia remained stable across different ages. In females, 11.34% of the DALYs attributable to depressive disorders in 2019 in China were caused by intimate partner violence, which has increasingly become prominent among older women. From 2020 to 2030, the age-standardized incidence, prevalence, and DALYs of dysthymia in China are projected to remain stable, while MDD is expected to continue declining. CONCLUSIONS To reduce the burden of depressive disorders in China, more attention and targeted strategies are needed for dysthymia. It's also urgent to control potential risk factors like intimate partner violence and develop intervention strategies for older women. These efforts are crucial for improving mental health outcomes in China.
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Affiliation(s)
- Wei Wang
- Department of Psychology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, Shandong, 250012, China
| | - Yihe Wang
- Department of Neurology, The Second Hospital of Shandong University, Jinan, China
| | - Feng Wang
- Department of Education, Guangxi Normal University, Guilin, China
| | - Hui Chen
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaqing Qin
- Department of Psychology, Shandong Normal University, Jinan, China
| | - Lexia Yang
- Nursing Department, The Third Hospital of Jinan, Jinan, Shandong, 250000, China
| | - Xiaorong Yang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China.
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
| | - Lejin Yang
- Department of Psychology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, Shandong, 250012, China.
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Song Y, Liu H, Liu Y. The association between nap time, nighttime sleep and depression in Chinese older adults: A cross-sectional study. PLoS One 2024; 19:e0302939. [PMID: 38843237 PMCID: PMC11156306 DOI: 10.1371/journal.pone.0302939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/15/2024] [Indexed: 06/09/2024] Open
Abstract
OBJECTIVE To explore the relationship among nap time, night sleep time, and depression among the elderly and to determine the recommended sleep time to provide a scientific and reasonable basis for the prevention and control of depression in residents. METHODS Based on the 2020 China Health and Elderly Care Longitudinal Survey (CHARLS) database, the demographic data and the health and lifestyle information of the study subjects were obtained. A total of 2,959 valid samples were included, and the relationship between sleep and depression was explored by logistic regression, restricted cubic spline, and isotemporal substitution model. RESULTS In the cross-sectional analysis, no statistical relationship was observed between napping time and depression in the elderly. The optimal sleep interval for the elderly at night is 6-7.5 hours, and the health benefits are the largest. A sleep duration of < 6 hours at night (OR = 2.25, 95% CI: 1.90 to 2.65) was associated with a high likelihood of depression. The probability of depression in the elderly continues to decrease with the increase of time after the nighttime sleep duration reaches 6 hours and is at the lowest level of about 7.5 hours. Moreover, the probability of depression will increase after the sleep duration exceeds 9.5 hours. In the range of 6-7.5 hours of recommended sleep duration, the likelihood of depression in the elderly will be reduced by 0.311 for every 30-minute increase in nighttime sleep time instead of noon sleep time. CONCLUSION The duration of nighttime sleep and the probability of depression have a U-shaped relationship. The likelihood of depression was lowest in the elderly who slept for 6-8 hours at night, and the likelihood of depression could be reduced by increasing the nighttime sleep time instead of napping time within the optimal nighttime sleep range.
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Affiliation(s)
- Yanliqing Song
- College of Sports, Nanjing Tech University, Nanjing, China
| | - Haoqiang Liu
- College of Sports, Nanjing Tech University, Nanjing, China
| | - Yue Liu
- School of Athletic Performance, Shanghai University of Sport, Shanghai, China
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30
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Kong F, Xu Z, Yang G, Jia Q, Mo F, Jing L, Luo J, Jin H, Cai X. Microelectrode Arrays for Detection of Neural Activity in Depressed Rats: Enhanced Theta Activity in the Basolateral Amygdala. CYBORG AND BIONIC SYSTEMS 2024; 5:0125. [PMID: 38841725 PMCID: PMC11151173 DOI: 10.34133/cbsystems.0125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 04/12/2024] [Indexed: 06/07/2024] Open
Abstract
Depression is a common and severely debilitating neuropsychiatric disorder. Multiple studies indicate a strong correlation between the occurrence of immunological inflammation and the presence of depression. The basolateral amygdala (BLA) is crucial in the cognitive and physiological processing and control of emotion. However, due to the lack of detection tools, the neural activity of the BLA during depression is not well understood. In this study, a microelectrode array (MEA) based on the shape and anatomical location of the BLA in the brain was designed and manufactured. Rats were injected with lipopolysaccharide (LPS) for 7 consecutive days to induce depressive behavior. We used the MEA to detect neural activity in the BLA before modeling, during modeling, and after LPS administration on 7 consecutive days. The results showed that after LPS treatment, the spike firing of neurons in the BLA region of rats gradually became more intense, and the local field potential power also increased progressively. Further analysis revealed that after LPS administration, the spike firing of BLA neurons was predominantly in the theta rhythm, with obvious periodic firing characteristics appearing after the 7 d of LPS administration, and the relative power of the local field potential in the theta band also significantly increased. In summary, our results suggest that the enhanced activity of BLA neurons in the theta band is related to the depressive state of rats, providing valuable guidance for research into the neural mechanisms of depression.
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Affiliation(s)
- Fanli Kong
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Gucheng Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qianli Jia
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fan Mo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luyi Jing
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyan Jin
- Obstetrics and Gynecology Department,
Peking University First Hospital, Beijing 100034, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,
Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering,
University of Chinese Academy of Sciences, Beijing 100049, China
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31
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Zhou Q, Eggleston K, Liu GG. Health insurance and subjective well-being: evidence from integrating medical insurance across urban and rural areas in China. Health Policy Plan 2024; 39:564-582. [PMID: 38648378 PMCID: PMC11145920 DOI: 10.1093/heapol/czae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 03/05/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
Health insurance coverage and the risk protection it provides may improve enrollees' subjective well-being (SWB), as demonstrated, e.g. by Oregon Medicaid's randomized expansion significantly improving enrollees' mental health and happiness. Yet little evidence from low- and middle-income countries documents the link between insurance coverage and SWB. We analyse individual-level data on a large natural experiment in China: the integration of the rural and urban resident health insurance programmes. This reform, expanded nationally since 2016, is recognized as a vital step towards attaining the goal of providing affordable and equitable basic healthcare in China, because integration raises the level of healthcare coverage for rural residents to that enjoyed by their urban counterparts. This study is the first to investigate the impact of urban-rural health insurance integration on the SWB of the Chinese population. Analysing 2011-18 data from the China Health and Retirement Longitudinal Study in a difference-in-difference framework with variation in the treatment timing, we find that the integration policy significantly improved the life satisfaction of rural residents, especially among low-income and elderly individuals. The positive impact of the integration on SWB appears to stem from the improvement of rural residents' mental health (decrease in depressive symptoms) and associated increases in some health behaviours, as well as a mild increase in outpatient care utilization and financial risk protection. There was no discernible impact of the integration on SWB among urban residents, suggesting that the reform reduced inequality in healthcare access and health outcomes for poorer rural residents without negative spillovers on their urban counterparts.
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Affiliation(s)
- Qin Zhou
- School of Public Administration and Policy, Renmin University of China, No. 59, Zhongguancun Street, 323# Qiushi Building, Haidian, Beijing 100872, China
| | - Karen Eggleston
- Walter H. Shorenstein Asia-Pacific Research Center, Stanford University and NBER, Encina Hall E311, Stanford, CA 94305-6055, United States
| | - Gordon G Liu
- Institute for Global Health and Development; National School of Development, Peking University, Langrun Garden, Beijing 100871, China
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32
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Bian A, Xiao F, Kong X, Ji X, Fang S, He J, Liu Q, Zhong R, Yao S, Luo Q, Wang X. Predictive modeling of antidepressant efficacy based on cognitive neuropsychological theory. J Affect Disord 2024; 354:563-573. [PMID: 38484886 DOI: 10.1016/j.jad.2024.03.029] [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: 07/08/2023] [Revised: 02/28/2024] [Accepted: 03/09/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND We aimed to develop a clinical predictive model based on the cognitive neuropsychological (CNP) theory and machine-learning to examine SSRI efficacy in the treatment of MDD. METHODS Baseline assessments including clinical symptoms (HAMD, HAMA, BDI, and TEPS scores), negative biases (NEO-PI-R-N and NCPBQ scores), sociodemographic characteristics (social support and SES), and a 5-min eye-opening resting-state EEG were completed by 69 participants with first-episode major depressive disorder (MDD) and 36 healthy controls. The clinical symptoms and negative bias were again assessed after an 8-week treatment of depression with selective serotonin reuptake inhibitors (SSRIs). A multi-modality machine-learning model was developed to predict the effectiveness of SSRI antidepressants. RESULTS At baseline, we observed significant differences between MDD patients and healthy controls in terms of social support, clinical symptoms, and negative bias characteristics (p < 0.001). A negative association was found (p < 0.05) between neuroticism and alpha asymmetry in both the central and central-parietal areas, as well as between negative cognitive processing bias and alpha asymmetry in the parietal region. Compared to responders, non-responders exhibited less negative cognitive processing bias and greater alpha asymmetry in both central and central-parietal regions. Importantly, we developed a multi-modality machine-learning model with 83 % specificity using the above salient features. CONCLUSIONS Research results support the CNP theory of depression treatment. To some extent, the multimodal clinical model constructed based on the CNP theory effectively predicted the efficacy of this treatment in this population. LIMITATIONS Small sample and only focus on the mechanisms of delayed-onset SSRI treatment.
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Affiliation(s)
- Ao Bian
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Fan Xiao
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Xinyuan Kong
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Xinlei Ji
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Shulin Fang
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Jiayue He
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Qinyu Liu
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Runqing Zhong
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Shuqiao Yao
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China
| | - Qiang Luo
- National Clinical Research Center for Aging and Medicine at Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, PR China
| | - Xiang Wang
- Medical Psychological Center, the Second Xiangya Hospital,Central South University, Changsha 410011, China.
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33
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Li Z, Li J, Hu Y, Yan Y, Tang S, Ma R, Li L. Evaluation of pharmaceutical consumption between urban and suburban catchments in China by wastewater-based epidemiology. ENVIRONMENTAL RESEARCH 2024; 250:118544. [PMID: 38408630 DOI: 10.1016/j.envres.2024.118544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 02/28/2024]
Abstract
Wastewater-based epidemiology (WBE) is amply used for estimating human consumption of chemicals, yet information on regional variation of pharmaceuticals and their environmental fate are scarce. Thus, this study aims to estimate the consumption of three cardiovascular, four non-steroidal anti-inflammatory pharmaceuticals (NSAIDs), and four psychoactive pharmaceuticals between urban and suburban catchments in China by WBE, and to explore their removal efficiencies and ecological risks. Eleven analytes were detected in both influent and effluent samples. The estimated consumptions ranged from
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Affiliation(s)
- Zongrui Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Jincheng Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Yongxia Hu
- West Center, Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Yile Yan
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Shaoyu Tang
- Research Center for Eco-Environmental Engineering, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
| | - Ruixue Ma
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Liangzhong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China; CAS Key Laboratory of Renewable Energy, Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, 510640, China.
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34
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Wang T, Li Q, Zhang S, Liu H, Jian W, Guo J. Patterns of gender inequality perception and depressive symptoms among Chinese adults: The mediating role of marital life satisfaction. J Affect Disord 2024; 354:634-641. [PMID: 38492649 DOI: 10.1016/j.jad.2024.03.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/03/2024] [Accepted: 03/09/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES As one of the most severe public health issues, depressive symptoms have attracted wide attention around the world. This study aims to investigate the mediating role of marital life satisfaction in the relationship between gender inequality perception and depressive symptoms. METHODS Data were obtained from the China Family Panel Studies (CFPS) conducted in 2020. This study incorporated a total of 13,409 married residents aged 20 and above. RESULTS The residents with middle (B = 0.19, 95 % CI = 0.01, 0.40) or high perception of gender inequality (B = 0.55, 95 % CI = 0.34, 0.75) were more likely to develop depressive symptoms. Marital life satisfaction plays a mediating effect in the relationship between patterns of gender inequality perception and depressive symptoms, and the mediating effect accounted for 4.89 % or 1.37 % of the total impact in the residents with middle or high patterns of gender inequality perception. LIMITATIONS Further studies need to understand the mechanisms of perceived patterns of gender inequality and depressive symptoms, because the cross-sectional design in this study cannot draw causal inferences. CONCLUSION Patterns of gender inequality perception are significantly associated with depressive symptoms. Marital life satisfaction plays a mediating role in the relationship between patterns of gender inequality perception and depressive symptoms. It is plausible that nurturing healthy marital relationships could mitigate depressive symptoms in individuals who perceive high degrees of gender disparity.
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Affiliation(s)
- Ting Wang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Qiaosheng Li
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Shouchuang Zhang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Haoran Liu
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Weiyan Jian
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
| | - Jing Guo
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
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35
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He W, Zhang S, Qi Z, Liu W. Unveiling the potential of estrogen: Exploring its role in neuropsychiatric disorders and exercise intervention. Pharmacol Res 2024; 204:107201. [PMID: 38704108 DOI: 10.1016/j.phrs.2024.107201] [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: 12/21/2023] [Revised: 04/01/2024] [Accepted: 04/28/2024] [Indexed: 05/06/2024]
Abstract
Neuropsychiatric disorders shorten human life spans through multiple ways and become major threats to human health. Exercise can regulate the estrogen signaling, which may be involved in depression, Alzheimer's disease (AD) and Parkinson's disease (PD), and other neuropsychiatric disorders as well in their sex differences. In nervous system, estrogen is an important regulator of cell development, synaptic development, and brain connectivity. Therefore, this review aimed to investigate the potential of estrogen system in the exercise intervention of neuropsychiatric disorders to better understand the exercise in neuropsychiatric disorders and its sex specific. Exercise can exert a protective effect in neuropsychiatric disorders through regulating the expression of estrogen and estrogen receptors, which are involved in neuroprotection, neurodevelopment, and neuronal glucose homeostasis. These processes are mediated by the downstream factors of estrogen signaling, including N-myc downstream regulatory gene 2 (Ndrg2), serotonin (5-HT), delta like canonical Notch ligand 1 (DLL1), NOD-like receptor thermal protein domain associated protein 3 (NLRP3), etc. In addition, exercise can act on the estrogen response element (ERE) fragment in the genes of estrogenic downstream factors like β-amyloid precursor protein cleavase 1 (BACE1). However, there are few studies on the relationship between exercise, the estrogen signaling pathway, and neuropsychiatric disorders. Hence, we review how the estrogen signaling mediates the mechanism of exercise intervention in neuropsychiatric disorders. We aim to provide a theoretical perspective for neuropsychiatric disorders affecting female health and provide theoretical support for the design of exercise prescriptions.
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Affiliation(s)
- Wenke He
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China; College of Physical Education and Health, East China Normal University, Shanghai 200241,China
| | - Sen Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China; College of Physical Education and Health, East China Normal University, Shanghai 200241,China
| | - Zhengtang Qi
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China; College of Physical Education and Health, East China Normal University, Shanghai 200241,China.
| | - Weina Liu
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai 200241, China; College of Physical Education and Health, East China Normal University, Shanghai 200241,China.
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36
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Liu C, Li L, Li B, Liu Z, Xing W, Zhu K, Jin W, Lin S, Tan W, Ren L, Zhang Q. Efficacy and Safety of Theta Burst Versus Repetitive Transcranial Magnetic Stimulation for the Treatment of Depression: A Meta-Analysis of Randomized Controlled Trials. Neuromodulation 2024; 27:701-710. [PMID: 37831019 DOI: 10.1016/j.neurom.2023.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/05/2023] [Accepted: 08/28/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVES Theta burst stimulation (TBS) is more energy- and time-efficient than is standard repetitive transcranial magnetic stimulation (rTMS). However, further studies are needed to analyze TBS therapy for its efficacy and safety compared with standard rTMS in treating depression. The aim of this meta-analysis was to compare TBS therapy with standard rTMS treatment regarding their safety and therapeutic effect on individuals with depression. MATERIALS AND METHODS Six data bases (Wanfang, the China National Knowledge Infrastructure, PubMed, Embase, Cochrane Library, and PsycINFO) were searched from inception till December 20, 2022. Two independent reviewers selected potentially relevant studies on the basis of the inclusion criteria, extracted data, and evaluated the methodologic quality of the eligible trials using the modified ten-item Physiotherapy Evidence Database scale per Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Finally, ten comparable pairs of nine randomized controlled trials (RCTs) were included for meta-analysis. Summary odds ratios (ORs) of the rates of response, remission, and adverse events were simultaneously calculated using quality-effects (QE) and random-effects (RE) models. Changes in depression scores associated with antidepressant effects were expressed using standardized mean differences simultaneously. This study was registered with the International Prospective Register of Systematic Reviews (CRD42022376790). RESULTS Nine of the 602 RCTs, covering 1124 patients (616 who had TBS protocols applied vs 508 treated using standard rTMS), were included. Differences in response rates between the above two treatment modalities were not significant (OR = 1.01, 95% CI: 0.88-1.16, p = 0.44, I2 = 0%, RE model; OR = 1.07, 95% CI: 0.87-1.32, p = 0.44, I2 = 0%, QE model). Differences in adverse event rates between TBS and standard rTMS groups were not statistically significant. CONCLUSIONS TBS has similar efficacy and safety to standard rTMS for treating depression. Considering the short duration of daily stimulation sessions, this meta-analysis supports the continued development of TBS for treating depression.
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Affiliation(s)
- Chaomeng Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Bing Li
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Zhi Liu
- Department of Emergency, Dongfang Hospital Beijing University of Chinese Medicine, Beijing, China
| | - Wenlong Xing
- First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, China
| | - Kemeng Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wenqing Jin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Shuo Lin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Weihao Tan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qinge Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Huang J, Wang X. Association of depressive symptoms with risk of incidence low back pain in middle-aged and older Chinese adults. J Affect Disord 2024; 354:627-633. [PMID: 38522815 DOI: 10.1016/j.jad.2024.03.081] [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: 12/02/2023] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Elevated Depressive symptoms (DS) and low back pain (LBP) pose significant and growing public health challenges, and China is no exception. This study innovatively examined the relationship between specific DS and distinct patterns of DS and incident LBP. METHODS This study extracted data from 4713 participants aged 45+ years from the China and Health Retirement Longitudinal Study (CHARLS), followed-up for incidence LBP (June 2011-September 2020). DS was assessed by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). The incident LBP was determined by self-reported. Latent class analysis (LCA) was employed to categorize patterns of DS. Cox proportional hazards regression models were used to examine the association between DS and incident LBP. RESULTS Over the 9.25-year follow-up period, 2234 incident LBP cases were identified. There was a significant independent association between positive DS and incident LBP with an HR of 1.73 (95 % CI = 1.55-1.94). Of the 10-item DS, difficulty concentrating (adjusted HR = 1.16, 95 % CI = 1.03-1.31), effortfulness (adjusted HR = 1.32, 95 % CI = 1.18-1.49), hopelessness (adjusted HR = 1.13, 95 % CI = 1.02-1.25), restless sleep (adjusted HR = 1.17, 95 % CI = 1.06-1.30), and loneliness (adjusted HR = 1.18, 95 % CI = 1.02-1.36), each independently associated with incident LBP. Regarding patterns of DS, compared to the "healthy" pattern of DS, four patterns showed significant association with incident LBP, especially the cumulative pattern of DS. LIMITATIONS DS and LBP were assessed based on self-reported. CONCLUSIONS In middle-aged and older Chinese adults, 5 specific DS (difficulty concentrating, effortfulness, hopelessness, restless sleep, and loneliness) and distinct patterns of DS indicate varied risks of developing LBP.
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Affiliation(s)
- Jinghong Huang
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Xiaohui Wang
- School of Public Health, Lanzhou University, Lanzhou, China.
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Chen Z, Wu F, Shi Y, Guo Y, Xu J, Liang S, Huang Z, He G, Hu J, Zhu Q, Yu S, Yang S, Wu C, Tang W, Dong X, Ma W, Liu T. Association of Residential Greenness Exposure with Depression Incidence in Adults 50 Years of Age and Older: Findings from the Cohort Study on Global AGEing and Adult Health (SAGE) in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:67004. [PMID: 38885140 PMCID: PMC11218708 DOI: 10.1289/ehp13947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 04/07/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Depression is a social and public health problem of great concern globally. Identifying and managing the factors influencing depression are crucial for preventing and decreasing the burden of depression. OBJECTIVES Our objectives are to explore the association between residential greenness and the incidence of depression in an older Chinese population and to calculate the disease burden of depression prevented by greenness exposure. METHODS This study was the Chinese part of the World Health Organization Study on Global AGEing and Adult Health (WHO SAGE). We collected the data of 8,481 residents ≥ 50 years of age in China for the period 2007-2018. Average follow-up duration was 7.00 (± 2.51 ) years. Each participant was matched to the yearly maximum normalized difference vegetation index (NDVI) at their residential address. Incidence of depression was assessed using the Composite International Diagnostic Interview (CIDI), self-reports of depression, and/or taking depression medication. Association between greenness and depression was examined using the time-dependent Cox regression model with stratified analysis by sex, age, urbanicity, annual family income, region, smoking, drinking, and household cooking fuels. Furthermore, the prevented fraction (PF) and attributable number (AN) of depression prevented by exposure to greenness were estimated. RESULTS Residential greenness was negatively associated with depression. Each interquartile range (IQR) increase in NDVI 500 -m buffer was associated with a 40% decrease [hazard ratio ( HR ) = 0.60 ; 95% confidence interval (CI): 0.37, 0.97] in the risk of depression incidence among the total participants. Subgroup analyses showed negative associations in urban residents (HR = 0.32 ; 95% CI: 0.12, 0.86) vs. rural residents, in high-income residents (HR = 0.28 ; 95% CI: 0.11, 0.71) vs. low-income residents, and in southern China (HR = 0.50 ; 95% CI: 0.26, 0.95) vs. northern China. Over 8.0% (PF = 8.69 % ; 95% CI: 1.38%, 15.40%) and 1,955,199 (95% CI: 310,492; 3,464,909) new cases of depression may be avoided by increasing greenness exposures annually across China. DISCUSSION The findings suggest protective effects of residential greenness exposure on depression incidence in the older population, particularly among urban residents, high-income residents, and participants living in southern China. The construction of residential greenness should be included in community planning. https://doi.org/10.1289/EHP13947.
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Affiliation(s)
- Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
| | - Fan Wu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shi
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongguo Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Shangfeng Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Weiling Tang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
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Pu J, Yu Y, Liu Y, Wang D, Gui S, Zhong X, Chen W, Chen X, Chen Y, Chen X, Qiao R, Jiang Y, Zhang H, Fan L, Ren Y, Chen X, Wang H, Xie P. ProMENDA: an updated resource for proteomic and metabolomic characterization in depression. Transl Psychiatry 2024; 14:229. [PMID: 38816410 PMCID: PMC11139925 DOI: 10.1038/s41398-024-02948-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 06/01/2024] Open
Abstract
Depression is a prevalent mental disorder with a complex biological mechanism. Following the rapid development of systems biology technology, a growing number of studies have applied proteomics and metabolomics to explore the molecular profiles of depression. However, a standardized resource facilitating the identification and annotation of the available knowledge from these scattered studies associated with depression is currently lacking. This study presents ProMENDA, an upgraded resource that provides a platform for manual annotation of candidate proteins and metabolites linked to depression. Following the establishment of the protein dataset and the update of the metabolite dataset, the ProMENDA database was developed as a major extension of its initial release. A multi-faceted annotation scheme was employed to provide comprehensive knowledge of the molecules and studies. A new web interface was also developed to improve the user experience. The ProMENDA database now contains 43,366 molecular entries, comprising 20,847 protein entries and 22,519 metabolite entries, which were manually curated from 1370 human, rat, mouse, and non-human primate studies. This represents a significant increase (more than 7-fold) in molecular entries compared to the initial release. To demonstrate the usage of ProMENDA, a case study identifying consistently reported proteins and metabolites in the brains of animal models of depression was presented. Overall, ProMENDA is a comprehensive resource that offers a panoramic view of proteomic and metabolomic knowledge in depression. ProMENDA is freely available at https://menda.cqmu.edu.cn .
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Affiliation(s)
- Juncai Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yue Yu
- Department of Health Sciences Research, Mayo Clinic, MN, 55901, USA
| | - Yiyun Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Dongfang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Siwen Gui
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaogang Zhong
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Weiyi Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaopeng Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yue Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiang Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Renjie Qiao
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yanyi Jiang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hanping Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Li Fan
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yi Ren
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiangyu Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Haiyang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
- The Jinfeng Laboratory, Chongqing, 401336, China.
- Chongqing Institute for Brain and Intelligence, Chongqing, 400072, China.
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Wu Y, Lu Y, Kong L, Xie Y, Liu W, Yang A, Xin K, Yan X, Wu L, Liu Y, Zhu Q, Cao Y, Zhou Y, Jiang X, Tang Y, Wu F. Gender differences in plasma S100B levels of patients with major depressive disorder. BMC Psychiatry 2024; 24:387. [PMID: 38783266 PMCID: PMC11112965 DOI: 10.1186/s12888-024-05852-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Low concentrations of S100B have neurotrophic effects and can promote nerve growth and repair, which plays an essential role in the pathophysiological and histopathological alterations of major depressive disorder (MDD) during disease development. Studies have shown that plasma S100B levels are altered in patients with MDD. In this study, we investigated whether the plasma S100B levels in MDD differ between genders. METHODS We studied 235 healthy controls (HCs) (90 males and 145 females) and 185 MDD patients (65 males and 120 females). Plasma S100B levels were detected via multifactor assay. The Mahalanobis distance method was used to detect the outliers of plasma S100B levels in the HC and MDD groups. The Kolmogorov-Smirnov test was used to test the normality of six groups of S100B samples. The Mann-Whitney test and Scheirer-Ray-Hare test were used for the comparison of S100B between diagnoses and genders, and the presence of a relationship between plasma S100B levels and demographic details or clinical traits was assessed using Spearman correlation analysis. RESULTS All individuals in the HC group had plasma S100B levels that were significantly greater than those in the MDD group. In the MDD group, males presented significantly higher plasma S100B levels than females. In the male group, the plasma S100B levels in the HC group were significantly higher than those in the MDD group, while in the female group, no significant difference was found between the HC and MDD groups. In the male MDD subgroup, there was a positive correlation between plasma S100B levels and years of education. In the female MDD subgroup, there were negative correlations between plasma S100B levels and age and suicidal ideation. CONCLUSIONS In summary, plasma S100B levels vary with gender and are decreased in MDD patients, which may be related to pathological alterations in glial cells.
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Affiliation(s)
- Yifan Wu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Yihui Lu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Lingtao Kong
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Yu Xie
- Faculty of Public Health, China Medical University, 110001, Liaoning, P.R. China
| | - Wen Liu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Anqi Yang
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Kaiqi Xin
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Xintong Yan
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Longhai Wu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Yilin Liu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Qianying Zhu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Yang Cao
- Shenyang Mental Health Center, 110001, Liaoning, P.R. China
| | - Yifang Zhou
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
| | - Xiaowei Jiang
- Brain Function Research Section, Department of Radiology, The First Hospital of China Medical University, 110001, Liaoning, P.R. China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China
- Department of Geriatric Medicine, The First Hospital of China Medical University, 110001, Liaoning, P.R. China
| | - Feng Wu
- Department of Psychiatry, The First Hospital of China Medical University, 155 Nanjing North Street, 110001, Liaoning, P.R. China.
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Jiang Y, Qu Y, Du Z, Ou M, Shen Y, Zhou Q, Tian L, Zhu H. Exploring adverse events of Vilazodone: evidence from the FAERS database. BMC Psychiatry 2024; 24:371. [PMID: 38755677 PMCID: PMC11100245 DOI: 10.1186/s12888-024-05813-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVE This study aims to conduct an exhaustive evaluation of Vilazodone's safety in clinical application and to unearth the potential adverse event (AE) risks associated with its utilization based on FDA Adverse Event Reporting System (FAERS) database. METHODS This research employed data spanning from the first quarter of 2011 to the third quarter of 2023 from the FAERS database. Various signal detection methodologies, including the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM), were utilized to ascertain the correlation between Vilazodone and specific AEs. RESULTS The study compiled a total of 17,439,268 reports of drug AEs, out of which 5,375 were related to Vilazodone. Through signal mining, 125 Preferred Terms (PTs) encompassing 27 System Organ Classes (SOCs) were identified. The findings indicated a higher prevalence among females and patients within the 45 to 65 age bracket. The principal categories of AEs included Psychiatric disorders, Nervous system disorders, and Gastrointestinal disorders, with prevalent incidents of Diarrhoea, Nausea, and Insomnia. Moreover, the study identified robust signals of novel potential AEs, notably in areas such as sleep disturbances (Sleep paralysis, Hypnagogic hallucination, Rapid eye movements sleep abnormal, Sleep terror, Terminal insomnia, Tachyphrenia), sexual dysfunctions (Female orgasmic disorder, Orgasm abnormal, Disturbance in sexual arousal, Spontaneous penile erection, Anorgasmia, Sexual dysfunction, Ejaculation delayed), and other symptoms and injuries (Electric shock sensation, Violence-related symptom, Gun shot wound). CONCLUSION Although Vilazodone presents a positive prospect in the management of MDD, the discovery of AEs linked to its use, particularly the newly identified potential risks such as sleep and sexual dysfunctions, necessitates heightened vigilance among clinicians.
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Affiliation(s)
- Ying Jiang
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Yucai Qu
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Zhiqiang Du
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Mengmeng Ou
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Yuan Shen
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Qin Zhou
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China
| | - Lin Tian
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
| | - Haohao Zhu
- Mental Health Center of Jiangnan University, Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
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Tan X, Wu J, Zhang H, Li Y, Huang Y, Zheng P, Xie P. Biogeography of intestinal mucus-associated microbiome: Depletion of genus Pseudomonas is associated with depressive-like behaviors in female cynomolgus macaques. J Adv Res 2024:S2090-1232(24)00204-2. [PMID: 38735389 DOI: 10.1016/j.jare.2024.05.013] [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: 10/25/2023] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024] Open
Abstract
INTRODUCTION Depression is a debilitating and poorly understood mental disorder. There is an urgency to explore new potential biological mechanisms of depression and the gut microbiota is a promising research area. OBJECTIVES Our study was aim to understand regional heterogeneity and potential molecular mechanisms underlying depression induced by dysbiosis of mucus-associated microbiota. METHODS Here, we only selected female macaques because they are more likely to form a natural social hierarchy in a harem-like environment. Because high-ranking macaques rarely displayed depressive-like behaviors, we selected seven monkeys from high-ranking individuals as control group (HC) and the same number of low-ranking ones as depressive-like group (DL), which displayed significant depressive-like behaviors. Then, we collected mucus from the duodenum, jejunum, ileum, cecum and colon of DL and HC monkeys for shotgun metagenomic sequencing, to profile the biogeography of mucus-associated microbiota along duodenum to colon. RESULTS Compared with HC, DL macaques displayed noticeable depressive-like behaviors such as longer duration of huddle and sit alone behaviors (negative emotion behaviors), and fewer duration of locomotion, amicable and ingestion activities (positive emotion behaviors). Moreover, the alpha diversity index (Chao) could predict aforementioned depressive-like behaviors along duodenum to colon. Further, we identified that genus Pseudomonas was consistently decreased in DL group throughout the entire intestinal tract except for the jejunum. Specifically, there were 10, 18 and 28 decreased Pseudomonas spp. identified in ileum, cecum and colon, respectively. Moreover, a bacterial module mainly composed of Pseudomonas spp. was positively associated with three positive emotion behaviors. Functionally, Pseudomonaswas mainly involved in microbiota derived lipid metabolisms such as PPAR signaling pathway, cholesterol metabolism, and fat digestion and absorption. CONCLUSION Different regions of intestinal mucus-associated microbiota revealed that depletion of genus Pseudomonas is associated with depressive-like behaviors in female macaques, which might induce depressive phenotypes through regulating lipid metabolism.
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Affiliation(s)
- Xunmin Tan
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China
| | - Jing Wu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China
| | - Hanping Zhang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China
| | - Yifan Li
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China
| | - Yu Huang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Institute for Brain Science and Disease, Chongqing Medical University, Chongqing, China.
| | - Peng Xie
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Disease, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; The Jin Feng Laboratory, Chongqing, China.
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Zhang X, Wang Y, Yang X, Li Y, Gui J, Mei Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study. BMC Psychiatry 2024; 24:351. [PMID: 38730360 PMCID: PMC11088055 DOI: 10.1186/s12888-024-05806-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese. METHODS The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression. RESULTS The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05). CONCLUSION The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.
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Affiliation(s)
- Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Wang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lei-Lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, No.40, Section 3, Songpo Road, Linghe District, Jinzhou City, Liaoning Province, People's Republic of China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, People's Republic of China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
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Chen TJ, Dong B, Dong Y, Li J, Ma Y, Liu D, Zhang Y, Xing Y, Zheng Y, Luo X, Tao F, Ding Y, Hu P, Zou Z, Pan B, Tang P, Luo D, Liu Y, Li L, Li GN, Tian X, Huang X, Song Y, Ma J, Sawyer SM. Matching actions to needs: shifting policy responses to the changing health needs of Chinese children and adolescents. Lancet 2024; 403:1808-1820. [PMID: 38643776 DOI: 10.1016/s0140-6736(23)02894-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 04/23/2024]
Abstract
China is home to the second largest population of children and adolescents in the world. Yet demographic shifts mean that the government must manage the challenge of fewer children with the needs of an ageing population, while considering the delicate tension between economic growth and environmental sustainability. We mapped the health problems and risks of contemporary school-aged children and adolescents in China against current national health policies. We involved multidisciplinary experts, including young people, with the aim of identifying actionable strategies and specific recommendations to promote child and adolescent health and wellbeing. Notwithstanding major improvements in their health over the past few decades, contemporary Chinese children and adolescents face distinct social challenges, including high academic pressures and youth unemployment, and new health concerns including obesity, mental health issues, and sexually transmitted infections. Inequality by gender, geography, and ethnicity remains a feature of health risks and outcomes. We identified a mismatch between current health determinants, risks and outcomes, and government policies. To promote the health of children and adolescents in China, we recommend a set of strategies that target government-led initiatives across the health, education, and community sectors, which aim to build supportive and responsive families, safe communities, and engaging and respectful learning environments. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Tian-Jiao Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Dongshan Liu
- National Center for Occupational Safety and Health, Beijing, China
| | - Yuhui Zhang
- China National Health Development Research Center, Beijing, China; Health Commission of Hainan Province, Haikou, China
| | - Yi Xing
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yi Zheng
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xiaomin Luo
- National Center for Women and Children's Health, China Center for Disease Control and Prevention, Beijing, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
| | - Yanqing Ding
- Department of Education Economics and Management, Graduate School of Education, Peking University, Beijing, China
| | - Peijin Hu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Bailin Pan
- Department of Plastic Surgery, Peking University Third Hospital, Beijing, China
| | - Ping Tang
- Chongqing Municipal Health Care Center for Primary and Secondary Schools, Chongqing, China
| | - Dongmei Luo
- Centre for Adolescent Health, Royal Children's Hospital, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Luo Li
- Centre for Adolescent Health, Royal Children's Hospital, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Geffrey Nan Li
- Child Health and Development, UNICEF China, Beijing, China
| | - Xiaobo Tian
- Child Health and Development, UNICEF China, Beijing, China
| | - Xiaona Huang
- Child Health and Development, UNICEF China, Beijing, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China.
| | - Susan M Sawyer
- Centre for Adolescent Health, Royal Children's Hospital, Parkville, VIC, Australia; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
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Yang Q, Wang Q, Peng P, Liu T, Zhang X. Association of clinical variables and thyroid-stimulating hormone with psychotic symptoms in patients with first-episode and drug-naïve major depressive disorder with elevated fasting blood glucose: preliminary exploratory study with a large sample. BJPsych Open 2024; 10:e99. [PMID: 38699891 PMCID: PMC11094438 DOI: 10.1192/bjo.2024.53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/26/2024] [Accepted: 03/13/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Psychotic symptoms and elevated fasting blood glucose (FBG) are frequently observed in people with major depressive disorder (MDD), but there is a lack of research into this relationship within this cohort. AIMS This study aimed to preliminarily explore the prevalence of psychotic symptoms and their predictors among patients with MDD and elevated FBG. METHOD This study enrolled 1718 patients with first-episode and drug-naïve (FEDN) MDD. Sociodemographic data and physical and biochemical indicators were collected. Clinical symptoms were assessed with tools such as the Hamilton Rating Scale for Anxiety, Hamilton Rating Scale for Depression (HRSD) and Positive and Negative Syndrome Scale positive subscale. RESULTS The odds ratio for psychotic symptoms in those with MDD and elevated FBG (18.7%) was 2.33 times higher than those with MDD without elevated FBG. Presence of psychotic symptoms was significantly correlated with HRSD score, suicide attempts, and total cholesterol and thyroid-stimulating hormone levels. The combination of HRSD score, suicide attempts and thyroid-stimulating hormone levels among patients with MDD and elevated FBG effectively distinguished between individuals with and without psychotic symptoms, achieving an area under the curve of 0.87. CONCLUSIONS Psychotic symptoms are frequently observed among FEDN MDD patients with elevated FBG, and depressive symptoms, suicide attempts and thyroid-stimulating hormone levels are related to psychotic symptoms in this cohort.
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Affiliation(s)
- Qian Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China; and Department of Psychology, Zhongshan City People's Hospital, Zhongshan, China
| | - Qianjin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Pu Peng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Xie Y, Zheng X, Li Y, He J, Wang P, Han X. The effect of somatic pain and comorbid mental distress on oral health-related quality of life in orthodontic patients. Clin Oral Investig 2024; 28:296. [PMID: 38700536 DOI: 10.1007/s00784-024-05666-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 04/16/2024] [Indexed: 05/28/2024]
Abstract
OBJECTIVES The purpose of the present study was to evaluate the prevalence of somatic pain in orthodontic patients and determine whether somatic pain contributes to worsening oral health-related quality of life (OHRQoL) through the mediating effect of psychological discomfort. MATERIALS AND METHODS Scale measurements and analyses were conducted on a cohort of 769 orthodontic outpatients, encompassing Patient Health Questionnaire-15-pain (PHQ-15-P), Hua-Xi Emotional-Distress Index (HEI), Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ), and Oral Health Impact Profile-14 (OHIP-14). RESULTS Among the respondents, 56.3% (N = 433) reported somatic pain and 20.0% (N = 154) had mental discomfort based on PHQ-15-P and HEI scores. Patients with somatic pain symptoms had significantly higher scores of HEI and OHIP-14 (P < 0.001), and higher PHQ-15-P and HEI scores emerged as statistically significant predictors of lower OHIP-14 scores (P < 0.001). HEI scores which assessed anxiety and depression partially mediated the correlation between PHQ-15-P and OHIP-14 scores, of which anxiety accounted for 52.9% of the overall mediation effect, dominating the indirect effect. CONCLUSION Orthodontic patients reporting somatic pains were at a significantly higher risk of worsening OHRQoL during treatment, and this adverse effect is partially mediated by anxiety and depression. CLINICAL RELEVANCE Our findings highlight the necessity for the assessment of general health and mental well-being during orthodontic interventions. To prevent delays in treating general disorders and the potential failure of orthodontic treatments, we encourage increased attentiveness towards patients with somatic symptoms and consideration of the adverse effects of comorbid mental distress.
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Affiliation(s)
- Yaxin Xie
- Department of Orthodontics, State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xinrui Zheng
- Stomatology School of Nanchang University, Nanchang, China
| | - Yuanhong Li
- Department of Orthodontics, State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jiayue He
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Peiqi Wang
- Department of Orthodontics, State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Xianglong Han
- Department of Orthodontics, State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, Sichuan, China.
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Liao J, Qiu W, Huang D, Cen A, Chen Y. Association between long-term visit-to-visit blood pressure variability and depression among Chinese middle-aged and older adults. Postgrad Med 2024; 136:422-429. [PMID: 38773675 DOI: 10.1080/00325481.2024.2358748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 05/15/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND Whether there is a longitudinal association between long-term blood pressure variability (BPV) and subsequent depression among Chinese adults remains inconclusive. METHODS This study utilized data from a nationwide cohort of the China Health and Retirement Longitudinal Study, which included participants aged > 45 years without prevalent psychiatric or memory-related diseases. The intra-individual coefficient of variation (CV) and standard deviation (SD) across 3 visits from 2011 to 2015 were used to examine the long-term variability in systolic BP (SBP) and diastolic BP (DBP). The depressive symptoms were examined using the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10), and moderate-to-severe depression was defined as CES-D-10 ≥ 15. RESULTS A total of 5,249 participants (mean age: 61.4 ± 8.1 years, 46.5% were men) were included in the current analysis. Individuals in the highest quartile of both BP CV and SD were independently correlated with a higher total CES-D-10 score compared to those in the lowest quartile after multivariable adjustment. 1,070 participants (20.4%) had moderate-to-severe depression during the 3-year follow-up period. Participants in the Q4 of SBP and DBP CV had 1.23-fold higher odds (95% CI: 1.01, 1.49) and 1.20-fold higher odds (95% CI: 1.01, 1.41) of moderate-to-severe depression compared to those in Q1. Subgroup analyses revealed that men with higher BP CVs had a greater risk of severe depressive symptoms (p for SBP CV-by-sex interaction = 0.050, p for SBP CV-by-sex interaction = 0.025). CONCLUSIONS Depression was common among Chinese middle-aged and older adults and long-term visit-to-visit BPV was positively associated with depressive symptoms, highlighting the importance of implementing intensive prevention strategies for depression and enhancing blood pressure monitors in China.
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Affiliation(s)
- Jinni Liao
- Department of General Section II, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Weida Qiu
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Dan Huang
- Department of General Section II, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Aiqun Cen
- Department of Infectious Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yanli Chen
- Department of General Section II, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
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Li J, Tang L, Pu Y. My Story of Depression: A Content Analysis of Autobiographic Videos on Douyin. HEALTH COMMUNICATION 2024; 39:906-914. [PMID: 36941529 DOI: 10.1080/10410236.2023.2191887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Autobiographical accounts on social media could play an essential role in shaping the public's understanding of illnesses and dispelling illness-related stigma. This study examined how people living with depression describe their illness experiences on Douyin, China's leading video-sharing platform, through content analysis. It finds that most videos were created by young women who have lived with the illness for over three years. The top three topics were patient psychology, experience sharing, and knowledge and medical advice. These videos provided an overall non-stigmatizing portrayal of depression, with more than 80% of the influencers using challenge cues. However, stigma cues contributed to the virality of the videos. The theoretical and practical implications of the study were discussed.
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Affiliation(s)
- Jinxu Li
- Department of Communication & Journalism, Texas A&M University
| | - Lu Tang
- Department of Communication & Journalism, Texas A&M University
| | - Yunsha Pu
- College of Media and International Culture, Zhejiang University
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Xie Z, Liu X, Hu Z, Dong C. Longitudinal association between the dynamic nature of depression with lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH). BMC Public Health 2024; 24:1121. [PMID: 38654263 DOI: 10.1186/s12889-024-18618-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Depression is associated with an increased risk of lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH). Whether the dynamic nature of depression affects the incidence of LUTS/BPH remains unknown. A four-year cohort study based on the China Health and Retirement Longitudinal Study (CHARLS) was conducted to assess their association. METHODS This study included 3433 Chinese men from the CHARLS 2011, representative of > 95 million individuals. All eligible individuals underwent three assessments of LUTS/BPH and depression in 2011, 2013 and 2015. The dynamic nature of depression was classified as acute depression with remission, acute depression with recurrence, or chronic major depression. Weighted, generalized additive analyses with three binomial models were used to investigate the relationship between LUTS/BPH and the dynamic nature of depression. RESULTS During the four-year follow-up, 11.5% (95% confidence interval [95% CI] = 9.5-13.3%) of Chinese men were diagnosed with newly incident LUTS/BPH. Meanwhile, there were 60.6% (95% CI = 58.5-62.7%) of the individuals without depression and 8.9% (95% CI = 7.9-10%) of the individuals with chronic major depression. A total of 25.1% (95% CI = 23.4-26.9%) and 5.4% (95% CI = 4.6-6.3%) of the individuals were categorized as acute depression with remission and recurrence. After weighted, adjusted all included confounding risk factors, chronic major depression (RR = 1.63, 95% CI = 1.14-2.33, P < 0.01) but not acute depression with remission (RR = 1.2, 95% CI = 0.92-1.56, P = 0.18) and recurrence (RR = 1.32, 95% CI = 0.82-2.10, P = 0.26) significantly increased the incidence of LUTS/BPH compared with no depression. The subgroup analysis showed that the above relationships appeared to be evident among Chinese men < 60 years. CONCLUSIONS Our results suggest that the dynamic nature of depression has a different effect on the incidence of LUTS/BPH. The monitoring and treatment of depression are important in preventing LUTS/BPH.
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Affiliation(s)
- Zonglan Xie
- Department of Urology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Jiaoping Road No. 42, 523710, Dongguan, People's Republic of China
| | - Xuebin Liu
- Department of Urology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Jiaoping Road No. 42, 523710, Dongguan, People's Republic of China
| | - Zhigang Hu
- Department of Evidence Based Medicine Center, The First College of Clinical Medicine Science, China Three Gorges University, 443003, Yichang, China
| | - Chuanjiang Dong
- Department of Urology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Jiaoping Road No. 42, 523710, Dongguan, People's Republic of China.
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Sun T, Chen G, Jiang W, Xu W, You L, Jiang C, Chen S, Wang D, Zheng X, Yuan Y. Distinguishing bipolar depression, bipolar mania, and major depressive disorder by gut microbial characteristics. Bipolar Disord 2024. [PMID: 38647010 DOI: 10.1111/bdi.13439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND Gut microbial disturbance has been widely confirmed in mood disorders. However, little is known about whether gut microbial characteristics can distinguish major depressive disorder (MDD), bipolar depression (BP-D), and bipolar mania (BP-M). METHODS This was a prospective case-control study. The composition of gut microbiota was profiled using 16S ribosomal RNA (rRNA) gene sequencing of fecal samples and compared between healthy controls (HC; n = 46), MDD (n = 51), BP-D (n = 44), and patients with BP-M (n = 45). RESULTS Gut microbial compositions were remarkably changed in the patients with MDD, BP-D, and BP-M. Compared to HC, distinct gut microbiome signatures were found in MDD, BP-D, and BP-M, and some gut microbial changes were overlapping between the three mood disorders. Furthermore, we identified a signature of 7 operational taxonomic units (OUT; Prevotellaceae-related OUT22, Prevotellaceae-related OUT31, Prevotellaceae-related OTU770, Ruminococcaceae-related OUT70, Bacteroidaceae-related OTU1536, Propionibacteriaceae-related OTU97, Acidaminococcaceae-related OTU34) that can distinguish patients with MDD from those with BP-D, BP-M, or HC, with area under the curve (AUC) values ranging from 0.910 to 0.996. CONCLUSION Our results provide the clinical rationale for the discriminative diagnosis of MDD, BP-D, and BP-M by characteristic gut microbial features.
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Affiliation(s)
- Taipeng Sun
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
- Department of Medical Psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Gang Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
- Department of Medical Psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Wei Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Linlin You
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Chenguang Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Suzhen Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Dan Wang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiao Zheng
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital; School of Medicine, Southeast University, Nanjing, Jiangsu, China
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