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Ge P, Tan C, Liu JX, Cai Q, Zhao SQ, Hong WY, Liu KM, Qi JL, Hu C, Yu WL, Li YM, You Y, Guo JH, Hao MY, Chen Y, Pan LT, Liu DY, Yan MY, Zhang JZ, Li QY, Sun BY, Han X, Mo F, Wu YB, Bian Y. Prevalence of subthreshold depression and its related factors in Chinese college students: A cross-sectional study. Heliyon 2024; 10:e32595. [PMID: 38988518 PMCID: PMC11233893 DOI: 10.1016/j.heliyon.2024.e32595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 06/04/2024] [Accepted: 06/05/2024] [Indexed: 07/12/2024] Open
Abstract
Objective To investigate the prevalence of subthreshold depression among Chinese college students and to explore the related factors. Methods The research subjects were Chinese college students participating in the "2022 Psychology and Behavior Investigation of Chinese Residents (PBICR-2022)". Data on respondents' general characteristics, quality of life, perceived pressure, family communication, perceived social support, self-efficacy, and depression status were gathered. To investigate the association between each variable and the risk of subthreshold depression, statistical analyses, including chi-square tests and rank sum tests were conducted. Furthermore, a binary stepwise logistic regression was employed to establish the regression model of the factors related to subthreshold depression among Chinese college students. Results A prevalence of subthreshold depression of about 39.7 % was found among the 8934 respondents. Logistic regression analysis revealed that respondents who are female, have chronic diseases, are in debt, experience significant impacts from epidemic control policies, have lower self-assessed quality of life, experience challenges in family communication, perceive lower social support, have lower self-efficacy, and feel higher perceived pressure are more likely to develop subthreshold depression compared to the control group. (P < 0.05). Conclusion The prevalence rate of subthreshold depression among Chinese college students was found to be approximately 40 %. Female college students suffering from chronic diseases, with households in debt, greatly impacted by epidemic control policies, and experiencing high perceived stress, may be at risk for subthreshold depression among Chinese college students. On the other hand, strong family communication, perceived social support, and self-efficacy were identified as potential protective factors. In order to facilitate timely screening, diagnosis, and treatment of subthreshold depression in Chinese college students, it is crucial for the government, local communities, colleges, and families to prioritize the mental health of college students and implement targeted measures accordingly.
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Affiliation(s)
- Pu Ge
- Institute of Chinese Medical Sciences, University of Macau, Macau, China
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Cheng Tan
- School of Government, Peking University, Beijing, China
| | - Jia-xin Liu
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Qiong Cai
- School of Public Health, Peking University, Beijing, China
| | | | - Wen-ying Hong
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China
| | - Kun-meng Liu
- Center for Medical Artificial Intelligence, Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China
| | - Jia-le Qi
- School of Journalism&Communication, Zhengzhou University, Zhengzhou, China
| | - Chen Hu
- Zijin College of Nanjing University of Technology, Nanjing, China
| | - Wen-li Yu
- School for Sports Humanities and Social Science, Jilin Sport University, Changchun, China
| | - Yi-miao Li
- School of Nursing, Tianjin Medical University, Tianjin, China
| | - Yuan You
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Jin-han Guo
- Department of Economics, Belarus State University, Minsk, Belarus
| | | | - Yang Chen
- College of Clinical Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Lu-tong Pan
- School of Public Health, ShanDong University, Jinan, Shandong, China
| | - Di-yue Liu
- International School of Public Health and One Health, Hainan Medical University, Haikou, China
| | - Meng-yao Yan
- School of Health Policy and Management, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jin-zi Zhang
- School of Humanities and Social Sciences, Harbin Medical University, Harbin, China
| | - Qi-yu Li
- School of Humanities and Health Management, Jinzhou Medical University, Jinzhou, China
| | - Bo-ya Sun
- Zhejiang University of Media and Communication, Zhejiang, China
| | - Xiao Han
- The Fifth Affiliated Hospital of Sun Yat-sat University, Zhuhai, China
| | - Fuer Mo
- Institute of Chinese Medical Sciences, University of Macau, Macau, China
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China
| | - Yi-bo Wu
- School of Public Health, Peking University, Beijing, China
| | - Ying Bian
- Institute of Chinese Medical Sciences, University of Macau, Macau, China
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China
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Feng L, Wu D, Ma S, Dong L, Yue Y, Li T, Tang Y, Ye Z, Mao G. Resting-state functional connectivity of the cerebellum-cerebrum in older women with depressive symptoms. BMC Psychiatry 2023; 23:732. [PMID: 37817133 PMCID: PMC10566116 DOI: 10.1186/s12888-023-05232-7] [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: 04/19/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Although there has been much neurobiological research on major depressive disorder, research on the neurological function of depressive symptoms (DS) or subclinical depression is still scarce, especially in older women with DS. OBJECTIVES Resting-state functional magnetic resonance imaging (rs-fMRI) was used to compare functional connectivity (FC) between the cerebellum and cerebral in older women with DS and normal controls (NC), to explore unique changes in cerebellar FC in older women with DS. METHODS In all, 16 older women with DS and 17 NC were recruited. All subjects completed rs-fMRI. The 26 sub-regions of the cerebellum divided by the AAL3 map were used as regions of interest (ROI) to analyze the difference in FC strength of cerebellar seeds from other cerebral regions between the two groups. Finally, partial correlation analysis between abnormal FC strength and Geriatric Depression Scale (GDS) score and Reminiscence Functions Scale (RFS) score in the DS group. RESULTS Compared with NC group, the DS group showed significantly reduced FC between Crus I, II and the left frontoparietal region, and reduced FC between Crus I and the left temporal gyrus. Reduced FC between right insula (INS), right rolandic operculum (ROL), right precentral gyrus (PreCG) and the Lobule IX, X. Moreover, the negative FC between Crus I, II, Lobule IX and visual regions was reduced in the DS group. The DS group correlation analysis showed a positive correlation between the left Crus I and the right cuneus (CUN) FC and GDS. In addition, the abnormal FC strength correlated with the scores in different dimensions of the RFS, such as the negative FC between the Crus I and the left middle temporal gyrus (MTG) was positively associated with intimacy maintenance, and so on. CONCLUSION Older women with DS have anomalous FC between the cerebellum and several regions of the cerebrum, which may be related to the neuropathophysiological mechanism of DS in the DS group.
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Affiliation(s)
- Lanling Feng
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Dongmei Wu
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
| | - Shaolun Ma
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuchuan Yue
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Tao Li
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yixun Tang
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Zixiang Ye
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Guoju Mao
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
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Zhao R, Sun JB, Deng H, Cheng C, Li X, Wang FM, He ZY, Chang MY, Lu LM, Tang CZ, Xu NG, Yang XJ, Qin W. Per1 gene polymorphisms influence the relationship between brain white matter microstructure and depression risk. Front Psychiatry 2022; 13:1022442. [PMID: 36440417 PMCID: PMC9691780 DOI: 10.3389/fpsyt.2022.1022442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Circadian rhythm was involved in the pathogenesis of depression. The detection of circadian genes and white matter (WM) integrity achieved increasing focus for early prediction and diagnosis of major depressive disorder (MDD). This study aimed to explore the effects of PER1 gene polymorphisms (rs7221412), one of the key circadian genes, on the association between depressive level and WM microstructural integrity. MATERIALS AND METHODS Diffusion tensor imaging scanning and depression assessment (Beck Depression Inventory, BDI) were performed in 77 healthy college students. Participants also underwent PER1 polymorphism detection and were divided into the AG group and AA group. The effects of PER1 genotypes on the association between the WM characteristics and BDI were analyzed using tract-based spatial statistics method. RESULTS Compared with homozygous form of PER1 gene (AA), more individuals with risk allele G of PER1 gene (AG) were in depression state with BDI cutoff of 14 (χ2 = 7.37, uncorrected p = 0.007). At the level of brain imaging, the WM integrity in corpus callosum, internal capsule, corona radiata and fornix was poorer in AG group compared with AA group. Furthermore, significant interaction effects of genotype × BDI on WM characteristics were observed in several emotion-related WM tracts. To be specific, the significant relationships between BDI and WM characteristics in corpus callosum, internal capsule, corona radiata, fornix, external capsule and sagittal stratum were only found in AG group, but not in AA group. CONCLUSION Our findings suggested that the PER1 genotypes and emotion-related WM microstructure may provide more effective measures of depression risk at an early phase.
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Affiliation(s)
- Rui Zhao
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Jin-Bo Sun
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Hui Deng
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Chen Cheng
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China
| | - Xue Li
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Fu-Min Wang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Zhao-Yang He
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Meng-Ying Chang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Li-Ming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chun-Zhi Tang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Neng-Gui Xu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xue-Juan Yang
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wei Qin
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
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