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Li J, Zhou Z, Hao S, Zang L. Optimal intensity and dose of exercise to improve university students' mental health: a systematic review and network meta-analysis of 48 randomized controlled trials. Eur J Appl Physiol 2025; 125:1395-1410. [PMID: 39692765 DOI: 10.1007/s00421-024-05688-9] [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: 09/23/2024] [Accepted: 12/02/2024] [Indexed: 12/19/2024]
Abstract
BACKGROUND A systematic evaluation and network meta-analysis (NMA) using randomized controlled trials (RCTs) was conducted to investigate the effects of different exercise intensities and dosages on the mental health of college students. METHODS A systematic search of eight electronic databases of RCTs involving mental health exercise interventions for college students was conducted, which included data from the inception of the databases through July 2024. Two independent reviewers assessed the quality of the literature. Pairwise, network, and dose‒response meta-analyses were conducted via random-effects models to analyze the effects of exercise on college students' mental health. RESULTS A total of 48 RCTs (3951 patients) were included. Light, moderate, and vigorous exercise were all significantly effective at reducing symptoms of depression, anxiety and stress, whereas very light exercise was only effective at reducing symptoms of depression and stress. Surface under the cumulative ranking curve (SUCRA) probability ranking revealed that vigorous exercise had the highest probability of being the best intervention intensity to improve depression and stress symptoms, and the best exercise intensity to improve anxiety symptoms was moderate. The minimum threshold for overall exercise intervention for depressive symptoms was 150 METs-min per week, the benefits provided after doses above 1300 METs-min per week were less pronounced, and the predicted maximum significant response dose was 860 METs-min per week, which was the same as the predicted data for moderate exercise. CONCLUSION Very light, light, moderate, and vigorous exercise are all potentially effective exercise intensities for improving the mental health of college students, with no significant difference in effectiveness across the four exercise intensities. SUCRA rankings revealed that vigorous exercise is the most effective intervention for depression and stress and that moderate exercise is the most effective intervention for anxiety. Exercise interventions for depressive symptoms have a low dosage threshold, are simple and easy to administer, and are good treatments for psychological problems in college students.
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Affiliation(s)
- Jihai Li
- Institute of Physical Education, Xinjiang Normal University, Urumqi, 830054, Xinjiang, China
| | - Zhidong Zhou
- School of Sports Science, Jishou University, Jishou, 416000, Hunan, China
| | - Sihai Hao
- Institute of Physical Education, Xinjiang Normal University, Urumqi, 830054, Xinjiang, China
| | - Liuhong Zang
- Institute of Physical Education, Xinjiang Normal University, Urumqi, 830054, Xinjiang, China.
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Zhang H, Peng D, Tang S, Bi A, Long Y. Aberrant Flexibility of Dynamic Brain Network in Patients with Autism Spectrum Disorder. Bioengineering (Basel) 2024; 11:882. [PMID: 39329624 PMCID: PMC11428581 DOI: 10.3390/bioengineering11090882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/25/2024] [Accepted: 08/28/2024] [Indexed: 09/28/2024] Open
Abstract
Autism spectrum disorder (ASD) is a collection of neurodevelopmental disorders whose pathobiology remains elusive. This study aimed to investigate the possible neural mechanisms underlying ASD using a dynamic brain network model and a relatively large-sample, multi-site dataset. Resting-state functional magnetic resonance imaging data were acquired from 208 ASD patients and 227 typical development (TD) controls, who were drawn from the multi-site Autism Brain Imaging Data Exchange (ABIDE) database. Brain network flexibilities were estimated and compared between the ASD and TD groups at both global and local levels, after adjusting for sex, age, head motion, and site effects. The results revealed significantly increased brain network flexibilities (indicating a decreased stability) at the global level, as well as at the local level within the default mode and sensorimotor areas in ASD patients than TD participants. Additionally, significant ASD-related decreases in flexibilities were also observed in several occipital regions at the nodal level. Most of these changes were significantly correlated with the Autism Diagnostic Observation Schedule (ADOS) total score in the entire sample. These results suggested that ASD is characterized by significant changes in temporal stabilities of the functional brain network, which can further strengthen our understanding of the pathobiology of ASD.
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Affiliation(s)
- Hui Zhang
- The Department of Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Dehong Peng
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Shixiong Tang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Anyao Bi
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Yicheng Long
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha 410011, China
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Zhou Y, Long Y. Sex differences in human brain networks in normal and psychiatric populations from the perspective of small-world properties. Front Psychiatry 2024; 15:1456714. [PMID: 39238939 PMCID: PMC11376280 DOI: 10.3389/fpsyt.2024.1456714] [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: 06/29/2024] [Accepted: 08/05/2024] [Indexed: 09/07/2024] Open
Abstract
Females and males are known to be different in the prevalences of multiple psychiatric disorders, while the underlying neural mechanisms are unclear. Based on non-invasive neuroimaging techniques and graph theory, many researchers have tried to use a small-world network model to elucidate sex differences in the brain. This manuscript aims to compile the related research findings from the past few years and summarize the sex differences in human brain networks in both normal and psychiatric populations from the perspective of small-world properties. We reviewed published reports examining altered small-world properties in both the functional and structural brain networks between males and females. Based on four patterns of altered small-world properties proposed: randomization, regularization, stronger small-worldization, and weaker small-worldization, we found that current results point to a significant trend toward more regularization in normal females and more randomization in normal males in functional brain networks. On the other hand, there seems to be no consensus to date on the sex differences in small-world properties of the structural brain networks in normal populations. Nevertheless, we noticed that the sample sizes in many published studies are small, and future studies with larger samples are warranted to obtain more reliable results. Moreover, the number of related studies conducted in psychiatric populations is still limited and more investigations might be needed. We anticipate that these conclusions will contribute to a deeper understanding of the sex differences in the brain, which may be also valuable for developing new methods in the treatment of psychiatric disorders.
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Affiliation(s)
- Yingying Zhou
- School of Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Yicheng Long
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
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Ren FF, Hillman CH, Wang WG, Li RH, Zhou WS, Liang WM, Yang Y, Chen FT, Chang YK. Effects of aerobic exercise on cognitive function in adults with major depressive disorder: A systematic review and meta-analysis. Int J Clin Health Psychol 2024; 24:100447. [PMID: 38371396 PMCID: PMC10869919 DOI: 10.1016/j.ijchp.2024.100447] [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: 08/07/2023] [Accepted: 01/30/2024] [Indexed: 02/20/2024] Open
Abstract
Background Major Depressive Disorder (MDD) is a highly prevalent psychiatric disorder that impairs the cognitive function of individuals. Aerobic exercise stands out as a promising non-pharmacological intervention for enhancing cognitive function and promoting brain health.While positive impacts of aerobic exercise on executive function in adults with depression have been documented, a comprehensive understanding of its benefits on overall cognitive function, including memory, attention, and processing speed, along with key moderating factors in adults with MDD, remains unexplored. The purpose of the systematic review and meta-analysis was to investigate the effects of aerobic exercise on overall cognitive function in adults with MDD, and to explore whether cognitive sub-domains, aerobic exercise characteristics, and study and sample variables modify the effects of aerobic exercise on cognition. Methods Six English electronic databases (Embase, Cochrane Central, Scopus, APA PsycInfo, PubMed, Web of Science) were searched from inception to 2 April 2023. Randomized trials, including adults aged 18 years or above with a diagnosis of clinical depression, of the effects of aerobic exercise on cognitive function in adults with MDD compared to non-aerobic exercise groups were included. A three-level meta-analysis was conducted utilizing a random-effects model in R. The quality of the studies was evaluated using the Physiotherapy Evidence Database (PEDro) scale. The PROSPERO registration number is CRD42022367350. Results Twelve randomized trials including 945 adults with MDD were included. Results indicated that aerobic exercise significantly improved overall cognitive function (g = 0.21; 95 % confidence intervals [CI] = 0.07, 0.34), and the sub-domains of memory (g = 0.25; 95 % CI = 0.06, 0.44) and executive function (g = 0.12; 95 % CI = 0.04, 0.20). Significant benefits in cognitive function were found from moderate-to-vigorous (mixed) intensity (g = 0.19; 95 % CI = 0.02, 0.37), aerobic exercise conducted 3 times per week (g = 0.23; 95 % CI = 0.10, 0.38), in sessions < 45 min (g = 0.59; 95 % CI = 0.28, 0.90), and 45-60 min (g = 0.16; 95 % CI = 0.07, 0.26), in aerobic exercise intervention ≤ 12 weeks (g = 0. 26; 95 % CI = 0.08, 0.44). Limitations This review only included peer-reviewed English-language studies, which may lead to a language bias. The results of the Egger's test suggested a potential publication bias. Conclusions Aerobic exercise is efficacious in improving overall cognitive function and the sub-domains of memory and executive function in adults with major depressive disorder.
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Affiliation(s)
- Fei-Fei Ren
- Department of Physical Education, Beijing Language and Culture University, Beijing, China
| | - Charles H. Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA
- Department of Physical Therapy, Movement, and Rehabilitation, Northeastern University, Boston, MA, USA
| | - Wei-Guang Wang
- Department of Physical Education, Beijing Language and Culture University, Beijing, China
| | - Ruei-Hong Li
- Department of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei, Taiwan
| | - Wen-Sheng Zhou
- Department of Physical Education, Jiangsu Second Normal University, Jiangsu, China
| | - Wen-Ming Liang
- Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Yong Yang
- Laboratory of Kinesiology and Rehabilitation, School of Physical Education and Sport, Chaohu University, Anhui, China
| | - Feng-Tzu Chen
- Department of Kinesiology, National Tsing Hua University, Hsinchu, Taiwan
| | - Yu-Kai Chang
- Department of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei, Taiwan
- Social Emotional Education and Development Center, National Taiwan Normal University, Taipei, Taiwan
- Institute for Research Excellence in Learning Science, National Taiwan Normal University, Taipei, Taiwan
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Hu Y, Yang Y, He Z, Wang D, Xu F, Zhu X, Wang K. Self-concept mediates the relationships between childhood traumatic experiences and adolescent depression in both clinical and community samples. BMC Psychiatry 2024; 24:224. [PMID: 38532347 PMCID: PMC10964638 DOI: 10.1186/s12888-024-05671-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/11/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Childhood trauma is a pivotal risk factor for adolescent depression. While the association between childhood trauma and depression is well-established, the mediating role of self-concept has not been acknowledged. Specifically, limited attention has been paid to how childhood maltreatment impacts adolescent depression through physical and social self-concept, both in clinical and community samples. This study aims to investigate how distinct and cumulative childhood trauma affects adolescent depression, as well as the potential mediating role of self-concept in their relationships. METHODS We recruited 227 depressed adolescents (dataset 1, 45 males, age = 15.34 ± 1.96) and 574 community adolescents (dataset 2, 107 males, age = 16.79 ± 0.65). Each participant was assessed on five subtypes of childhood trauma severity, cumulative trauma index, physical and social self-concept, and depression. Mediation models were tested separately in the clinical and community samples. RESULTS Clinically depressed adolescents experienced a higher level of trauma severity, a greater number of trauma subtypes, and had lower levels of physical and social self-concept compared to community adolescents. Analyses on childhood trauma severity and cumulative trauma index jointly indicated that physical and social self-concept played mediation roles in the relationships between childhood trauma experiences and depression. Moreover, the mediating effects of self-concept were stronger in depressed adolescents when compared to community samples. CONCLUSIONS Our findings suggest that physical and social self-concept play mediating roles in the pathway linking childhood trauma and adolescent depression, particularly in clinically depressed individuals.
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Affiliation(s)
- Yufei Hu
- School of Psychology, Shandong Normal University, 250358, Jinan, China
| | - Ying Yang
- Shandong Mental Health Center, 250014, Jinan, China
- Department of Psychiatry, School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, 250012, Jinan, China
| | - Zhengna He
- School of Psychology, Shandong Normal University, 250358, Jinan, China
| | - Duanwei Wang
- Shandong Mental Health Center, 250014, Jinan, China
| | - Feiyu Xu
- Shandong Mental Health Center, 250014, Jinan, China
| | - Xingxing Zhu
- School of Health and Wellbeing, University of Glasgow, G12 8TB, Glasgow, UK.
| | - Kangcheng Wang
- School of Psychology, Shandong Normal University, 250358, Jinan, China.
- Shandong Mental Health Center, 250014, Jinan, China.
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Deng D, Sun H, Wang Y, Guo X, Yuan Y, Wang J, Qiu L. Structural and functional abnormalities in first-episode drug-naïve pediatric idiopathic generalized epilepsy. Cereb Cortex 2024; 34:bhae021. [PMID: 38314605 DOI: 10.1093/cercor/bhae021] [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: 12/01/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 02/06/2024] Open
Abstract
The aim of this study was to investigate brain structure and corresponding static and dynamic functional connectivity (sFC & dFC) abnormalities in untreated, first-episode pediatric idiopathic generalized epilepsy (IGE), with the goal of better understanding the underlying pathological mechanisms of IGE. Thirty-one children with IGE and 31 age-matched healthy controls (HC) were recruited. Structural magnetic resonance imaging (sMRI) data were acquired, and voxel-based morphometry (VBM) analysis were performed to reveal abnormal gray matter volume (GMV). Moreover, sFC and dFC analyses were conducted using the brain areas exhibiting abnormal GMV as seed regions to explore abnormal functional couplings. Compared to HC, the IGE group exhibited increased GMV in left middle cingulate cortex (MCC) and right parahippocampus (ParaHipp). In addition, the analyses of dFC and sFC with MCC and ParaHipp as seeds revealed more extensive functional connectivity (FC) changes in dFC. Notably, the structurally and functionally abnormal brain areas were primarily localized in the default mode network (DMN). However, our study did not find any significant associations between these altered neuroimaging measurements and clinical outcomes. This study uncovered microstructural changes as well as corresponding sFC and dFC changes in patients with new-onset, untreated pediatric IGE. The affected brain regions were primarily located within the DMN, highlighting the DMN's crucial role in the development of pediatric IGE.
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Affiliation(s)
- Dingmei Deng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 18, South Section 3, First Ring Road, Wuhou District, Chengdu 610041, China
- Medical Imaging Center, The Second People's Hospital of Yibin, 96# Beida Street, Cuiping District, Yibin 644000, China
- Clinical Research and Translational Center, Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, 96# Beida Street, Cuiping District, Yibin 644000, China
| | - Hui Sun
- College of Electrical Engineering, Sichuan University, No. 24, South Section 1, First Ring Road, Wuhou District, Chengdu 610065, China
| | - Yuting Wang
- Medical Imaging Center, The Second People's Hospital of Yibin, 96# Beida Street, Cuiping District, Yibin 644000, China
- Clinical Research and Translational Center, Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, 96# Beida Street, Cuiping District, Yibin 644000, China
| | - Xin Guo
- Medical Imaging Center, The Second People's Hospital of Yibin, 96# Beida Street, Cuiping District, Yibin 644000, China
- Clinical Research and Translational Center, Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, 96# Beida Street, Cuiping District, Yibin 644000, China
| | - Yizhi Yuan
- Medical Imaging Center, The Second People's Hospital of Yibin, 96# Beida Street, Cuiping District, Yibin 644000, China
- Clinical Research and Translational Center, Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, 96# Beida Street, Cuiping District, Yibin 644000, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, No.7, Zhiyuan Road, Chenggong District, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, No.7, Zhiyuan Road, Chenggong District, Kunming 650500, China
| | - Lihua Qiu
- Medical Imaging Center, The Second People's Hospital of Yibin, 96# Beida Street, Cuiping District, Yibin 644000, China
- Clinical Research and Translational Center, Second People's Hospital of Yibin City-West China Yibin Hospital, Sichuan University, 96# Beida Street, Cuiping District, Yibin 644000, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, No. 24, South Section 1, First Ring Road, Wuhou District, Chengdu City, Sichuan Province, Chengdu 610065, China
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Zhou Y, Zhu Y, Ye H, Jiang W, Zhang Y, Kong Y, Yuan Y. Abnormal changes of dynamic topological characteristics in patients with major depressive disorder. J Affect Disord 2024; 345:349-357. [PMID: 37884195 DOI: 10.1016/j.jad.2023.10.143] [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: 03/17/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Most studies have detected abnormalities of static topological characteristics in major depressive disorder (MDD). However, whether dynamic alternations in brain topology are influenced by MDD remains unknown. METHODS An approach was proposed to capture the dynamic topological characteristics with sliding-window and graph theory for a large data sample from the REST-meta-MDD project. RESULTS It was shown that patients with MDD were characterized by decreased nodal efficiency of the left orbitofrontal cortex. The temporal variability of topological characteristics was focused on the left opercular part of inferior frontal gyrus, and the right part of middle frontal gyrus, inferior parietal gyrus, precuneus and thalamus. LIMITATIONS Future studies need larger and diverse samples to explore the relationship between dynamic topological network characteristics and MDD symptoms. CONCLUSIONS The results support that the altered dynamic topology in cortex of frontal and parietal lobes and thalamus during resting-state activity may be involved in the neuropathological mechanism of MDD.
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Affiliation(s)
- Yue Zhou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yihui Zhu
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China
| | - Hongting Ye
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yubo Zhang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Youyong Kong
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province 210096, China.
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China.
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