Dan-Dan Xu1, Wen-Wang Rao2, Xiao-Lan Cao3, Si-Ying Wen3, Feng-Rong An4, Weng-Ian Che5, Daniel T Bressington6, Teris Cheung6, Gabor S Ungvari7, Yu-Tao Xiang8. 1. Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China; Department of Biology, Faculty of Sciences, Harbin University, Harbin, China. 2. Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China. 3. Shenzhen Key Laboratory for Psychological Healthcare & Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital & Shenzhen Mental Health Center, Shenzhen, China. 4. The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. 5. Unit of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Department of Public Health Science, Karolinska Institutet, Stockholm, Sweden. 6. School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 7. Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia; University of Notre Dame Australia, Fremantle, Australia. 8. Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China. Electronic address: xyutly@gmail.com.
Abstract
BACKGROUNDS: Depression in children and adolescents is usually under-recognized. The findings of epidemiological studies on depressive symptoms in primary school students are inconsistent across studies. This study reports a systematic review and meta-analysis on the prevalence of depressive symptoms in primary school students in China. METHODS: Literature search was performed in both international (PubMed, PsycINFO, EMBASE) and Chinese (China National Knowledge Internet, WANFANG Data and Chinese Biological Medical Literature) databases. The random-effects model was used to analyze data. RESULTS: Twenty-seven studies involving 42,374 subjects were included. The pooled prevalence of depressive symptoms in Chinese primary school students was 17.2% (95% CI: 14.3%-20.5%). Subgroup analyses found that the prevalence significantly varied between geographic regions, with western China reporting the highest prevalence. Meta-regression analyses found that year of survey and study quality were significantly associated with the prevalence of depressive symptoms. CONCLUSIONS: Given the high prevalence of depressive symptoms and its negative health outcomes, preventive measures, regular screening and effective treatments need to be implemented for this population.
BACKGROUNDS: Depression in children and adolescents is usually under-recognized. The findings of epidemiological studies on depressive symptoms in primary school students are inconsistent across studies. This study reports a systematic review and meta-analysis on the prevalence of depressive symptoms in primary school students in China. METHODS: Literature search was performed in both international (PubMed, PsycINFO, EMBASE) and Chinese (China National Knowledge Internet, WANFANG Data and Chinese Biological Medical Literature) databases. The random-effects model was used to analyze data. RESULTS: Twenty-seven studies involving 42,374 subjects were included. The pooled prevalence of depressive symptoms in Chinese primary school students was 17.2% (95% CI: 14.3%-20.5%). Subgroup analyses found that the prevalence significantly varied between geographic regions, with western China reporting the highest prevalence. Meta-regression analyses found that year of survey and study quality were significantly associated with the prevalence of depressive symptoms. CONCLUSIONS: Given the high prevalence of depressive symptoms and its negative health outcomes, preventive measures, regular screening and effective treatments need to be implemented for this population.
Authors: Tianli Feng; Xiyuan Jia; Lucy Pappas; Xiaojun Zheng; Teresa Shao; Letao Sun; Charlie Weisberg; Madeline Lu Li; Scott Rozelle; Yue Ma Journal: Int J Environ Res Public Health Date: 2022-05-16 Impact factor: 4.614
Authors: Yuan Xue; Qingqing Xu; Juan Wang; Hualiang Lin; Chongjian Wang; Xiaomin Lou; Cuiping Wu; Zhenxing Mao; Xiaoli Fu Journal: Int J Environ Res Public Health Date: 2022-03-14 Impact factor: 3.390