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| Prevalence of depressive symptoms among freshmen of a college in Hunan Province |
| PENG Haiyan1,2, LONG Liying1,2, CHEN Xi1,2, CHENG Ming1,2
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1. School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;
2. Department of Clinical Psychology, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan 410007, China |
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Abstract Objective To investigate the prevalence of depressive symptoms among college freshmen and analyze their influencing factors, so as to provide insights into the prevention and intervention of depressive symptoms among college students. Methods The freshmen enrolled in a college of Hunan Province from 2020 to 2022 were recruited, and demographic data, diet and sleep status were collected using questionnaire surveys. Depressive symptoms were evaluated using Patient Health Questionnaire-9. Factors affecting depressive symptoms were analyzed using a multivariable logistic regression model. Results Totally 17 862 questionnaires were allocated, and 16 480 valid questionnaires were recovered, with an effective rate of 92.26%. There were 3 374 students of 2020 cohort, 7 038 students of 2021 cohort and 6 068 students of 2022 cohort, 6 029 boys (36.58%) and 10 451 girls (63.42%). The prevalence of depressive symptoms among freshmen was 41.37%. Multivariable logistic regression analysis showed that female (OR=1.482, 95%CI: 1.377-1.594), enrolling through the college entrance examination (OR=1.561, 95%CI: 1.384-1.809), depression history (OR=1.990, 95%CI: 1.513-2.618), abnormal marital status of parents (divorced, OR=1.197, 95%CI: 1.064-1.348; other problem, OR=1.401, 95%CI: 1.174-1.672), abnormal diet (mild, OR=2.883, 95%CI: 2.585-3.105; moderate, OR=6.755, 95%CI: 4.653-9.808; severe, OR=38.897, 95%CI: 12.200-124.012) and abnormal sleep (mild, OR=2.785, 95%CI: 2.593-2.992; moderate, OR=9.009, 95%CI: 7.011-11.578; severe, OR=29.281, 95%CI: 14.163-60.536) were associated with increased risk of depressive symptoms among college freshmen. Conclusion The prevalence of depressive symptoms among college freshmen is relatively high, and is influenced by gender, mode of admission, history of depression, parental marital status, diet and sleep.
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Received: 09 January 2024
Revised: 13 May 2024
Published: 15 October 2024
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[1] LUO M M,HAO M,LI X H,et al.Prevalence of depressive tendencies among college students and the influence of attributional styles on depressive tendencies in the post-pandemic era[J/OL].Front Public Health,2024,12[2024-05-13].https://doi.org/10.3389/fpubh.2024.1326582.
[2] 赵子涵,李文秀.新冠疫情背景下我国大学生抑郁测评及影响因素研究进展[J].心理月刊,2022,17(19):204-207.
[3] FU W N,YAN S J,ZONG Q,et al.Mental health of college students during the COVID-19 epidemic in China[J/OL].J Affect Disord,2020,280[2024-05-13].https://doi.org/10.1016/j.jad.2020.11.032.
[4] 李信心,吴云云,张潇,等.大学新生抑郁现况调查及影响因素分析[J].国际精神病学杂志,2022,49(4):616-619.
[5] 吴世珍,汪求真,米振宏,等.大学新生抑郁状况及影响因素分析[J].中国公共卫生,2016,32(3):375-379.
[6] MAO X L,CHEN H M.Investigation of contemporary college students' mental health status and construction of a risk prediction model[J].World J Psychiatry,2023,13(8):573-582.
[7] HOOTMAN K C,GUERTIN K A,CASSANO P A.Stress and psychological constructs related to eating behavior are associated with anthropometry and body composition in young adults[J].Appetite,2018,125:287-294.
[8] LUO X Y,XU Q Q,FAN K L,et al.Prevalence and risk factors of depressive symptoms among 140 259 college students during the COVID-19 epidemic normalization in China:a cross-sectional survey[J/OL].Front Public Health,2022,10[2024-05-13].https://doi.org/10.3389/fpubh.2022.936700.
[9] REN Z Y,XIN Y D,GE J P,et al.Psychological impact of COVID-19 on college students after school reopening:a cross-sectional study based on machine learning[J/OL].Front Psychol,2021,12[2024-05-13].https://doi.org/10.3389/fpsyg.2021.641806.
[10] LAZAREVICH I,IRIGOYEN CAMACHO M E,VELÁZQUEZ-ALVA M D C,et al.Relationship among obesity,depression,and emotional eating in young adults[J].Appetite,2016,107:639-644.
[11] TITOV N,DEAR B F,MCMILLAN D,et al.Psychometric comparison of the PHQ-9 and BDI-II for measuring response during treatment of depression[J].Cogn Behav Ther,2011,40(2):126-136.
[12] 王振,苑成梅,黄佳,等.贝克抑郁量表第2版中文版在抑郁症患者中的信效度[J].中国心理卫生杂志,2011,25(6):476-480.
[13] LI W Z,ZHAO Z Y,CHEN D J,et al.Prevalence and associated factors of depression and anxiety symptoms among college students:a systematic review and meta-analysis[J].J Child Psychol Psychiatry,2022,63(11):1222-1230.
[14] LI Y,QIN L B,SHI Y B,et al.The psychological symptoms of college student in China during the lockdown of COVID-19 epidemic[J]. Healthcare,2021,9(4):1-9.
[15] 王月明,熊延连,孙毅,等. 防疫封校期间医学生心理应激反应与影响因素研究[J]. 中国高等医学教育,2022(12):32-33.
[16] 段芮,王红.2011—2018年我国中老年人抑郁症状流行趋势分析[J].预防医学,2023,35(8):649-654.
[17] ALTEMUS M,SARVAIYA N,NEILL EPPERSON C.Sex differences in anxiety and depression clinical perspectives[J].Front Neuroendocrinol,2014,35(3):320-330.
[18] 李娟娟,章荣华,邹艳,等.浙江省青少年抑郁症状的影响因素分析[J].预防医学,2021,33(2):139-142.
[19] REPETTI R L,TAYLOR S E,SEEMAN T E.Risky families:family social environments and the mental and physical health of offspring[J].Psychol Bull,2002,128(2):330-366.
[20] 郑利锋,杨开仁,谭素仙,等.青少年抑郁症状现况调查[J].预防医学,2018,30(4):338-340,344.
[21] LUPPINO F S,DE WIT L M,BOUVY P F,et al.Overweight,obesity,and depression:a systematic review and meta-analysis of longitudinal studies[J].Arch Gen Psychiatry,2010,67(3):220-229.
[22] 张丛笑,郑琳,沈利明,等.某区中小学生抑郁症状调查[J].预防医学,2023,35(3):196-199,204.
[23] QU Y,LI T T,XIE Y,et al.Association of chronotype,social jetlag,sleep duration and depressive symptoms in Chinese college students[J]. J Affect Disord,2023,320:735-741.
[24] KLEIN D N,LEWINSOHN P M,ROHDE P,et al.Clinical features of major depressive disorder in adolescents and their relatives:impact on familial aggregation,implications for phenotype definition,and specificity of transmission[J]. J Abnorm Psychol,2002,111(1):98-106. |
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