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| Performance of memory task indicators for assessment of the risk of depressive disorders |
| YU Ge1, LOU Le2, XU Fangzhong1,2
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1. Department of Clinical Psychology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China;
2. Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China |
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Abstract Objective To evaluate the risk of depressive disorders using memory task indicators, so as to provide insights into clinical assessment of depressive disorders. Methods A total of 68 patients with depressive disorders undergoing treatments in the departments of psychiatrics and clinical psychology in a tertiary hospital during the period from January to September, 2021 were enrolled as the case group, while a total of 31 hospital employees, social volunteers and university students served as controls. The error rate and response time of classical memory task experiments were compared between the two groups, including implicit memory, short-term memory and working memory tasks. In addition, the predictive indicators of depressive disorders were identified using multivariable logistic regression analysis and receiver operative characteristics (ROC) curve. Results The case group included 29 men and 39 women and had a mean age of (24.12±7.40) years, including 46 subjects with an educational level higher than diploma. The control group included 15 men and 16 women and had a mean age of (26.45±6.65) years, including 23 subjects with an educational level higher than diploma. Multivariable logistic regression analysis showed significant associations of age of >18 years (OR=3.431, 95%CI: 1.259-9.350), error rate of 2-back task (OR=1.056, 95%CI: 1.016-1.097) and error rate of short-term memory tasks (OR=1.078, 95%CI: 1.009-1.152) with the development of depressive disorders. ROC curve analysis showed that the error rate of 2-back tasks showed an area under the ROC curve (AUC) of 0.730 (95%CI: 0.630-0.831), cutoff of 22.5%, sensitivity of 42.6% and specificity of 93.5% for prediction of the risk of depressive disorders, and the error rate of short-term memory tasks showed an AUC of 0.717 (95%CI: 0.605-0.829), cutoff of 23.5%, sensitivity of 67.6% and specificity of 71.0% for prediction of the risk of depressive disorders. In addition, the combination of the error rate of 2-back tasks and the error rate of short-term memory tasks showed an AUC of 0.829 (95%CI: 0.734-0.923), sensitivity of 75.0% and specificity of 80.6% for prediction of the risk of depressive disorders. Conclusion Short-term and working memory task indicators are feasible for assessment of the risk of depressive disorders.
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Received: 11 January 2022
Revised: 20 April 2022
Published: 19 July 2022
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[1] 孙静. 抑郁、认知、记忆表型的多变量全基因组关联研究[D].青岛:青岛大学,2021.
SUN J.Multivariate genome-wide association study of depression,cognition,and memory phenotypes[D].Qingdao:Qingdao University,2021.
[2] 孙丽君,王希林,黄悦勤.抑郁障碍患者缓解期认知功能损害研究[J].预防医学,2016,28(7):658-661.
SUN L J,WANG X L,HUANG Y Q.A study on cognitive impairment during depression remission stage[J].Prev Med,2016,28(7):658-661.
[3] MAESHIMA H,BABA H,SATOMURA E,et al.Residual memory impairment in remitted depression may be a predictive factor for recurrence[J].J Clin Psychiatry,2016,77(2):247-251.
[4] 余鸽,娄乐,徐方忠.抑郁障碍患者工作记忆损害研究[J].预防医学,2021,33(7):675-679.
YU G,LOU L,XU F Z.Impairment of working memory in patients with depressive disorder[J].Prev Med,2021,33(7):675-679.
[5] HSU T Y,LEE H C,LANE T J,et al.Temporal preparation,impulsivity and short-term memory in depression[J].Front Behav Neurosci,2019,13(2019-11-22)[2022-04-20].https://doi.org/10.3389/fnbeh.2019.00258.
[6] 朱滢. 实验心理学[M].北京:北京大学出版社,2010.
ZHU Y.Experimental psychology[M].Beijing:Peking University Press,2010.
[7] NIKOLIN S,TAN Y Y,SCHWAAB A,et al.An investigation of working memory deficits in depression using the n-back task:a systematic review and meta-analysis[J].J Affect Disord,2021,284:1-8.
[8] 美国精神医学学会.精神障碍诊断与统计手册(案头参考书)[M].张道龙,译.北京:北京大学出版社,2014:25-27.
ZHENG Y P,ZHAO J P,PHILLIPS M,et al.Validity and reliability of the Chinese Hamilton Depression Rating Scale[J].Br J Psychiatry,1988,152(5):660-664.
[10] 宋维真,莫文彬.心理健康测查表(PHI)的编制过程[J].心理科学,1992(2):38-42,67.
SONG W Z,MO W B.The compilation of Psychological Health Inventory(PHI)[J].Psycholl Sci,1992(2):38-42,67.
[11] 龚耀先,谢光荣,江达威,等.修订韦氏记忆量表[C]//中国心理学会第三次会员代表大会及建会60周年学术会议(全国第四届心理学学术会议)文摘选集(下).1981:125-127.
[12]杨治良,叶阁蔚,王新发.汉字内隐记忆的实验研究(Ⅰ)──内隐记忆存在的条件[J].心理学报,1994(1):1-7.
YANG Z L,YE G W,WANG X F.A study on implicit memory of Chinese characters[J].Acta Psychol Sin,1994(1):1-7.
[13] LIN P,LAMONICA H M,NAISMITH S L,et al.Memory compensation strategies in older people with mild cognitive impairment[J].J Int Neuropsychol Soc,2020,26(1):86-96.
[14] YUAN M Q,WU Z L,LUO B,et al.Gender-specified mediation of depression between sleep quality and short-term memory in older adults:study in a semi-closed island of Xiamen,China[J].Int J Geriatr Psychiatry,2021,36(10):1514-1523.
[15] GRAF P,SCHACTER D L.Implicit and explicit memory for new associations in normal and amnesic subjects[J].J Exp Psychol Learn Mem Cogn,1985,11(3):501-518.
[16] ERAYDIN I E,MUELLER C,CORBETT A,et al.Investigating the relationship between age of onset of depressive disorder and cognitive function[J].Int J Geriatr Psychiatry,2019,34(1):38-46.
[17] SHAN Y Y,JIA Y B,ZHONG S M,et al.Correlations between working memory impairment and neurometabolites of prefrontal cortex and lenticular nucleus in patients with major depressive disorder[J].J Affect Disord,2018,227:236-242.
[18] GADDY M A,INGRAM R E.A meta-analytic review of mood-congruent implicit memory in depressed mood[J].Clin Psychol Rev,2014,34(5):402-416.
[19] JANACSEK K,BORBÉLY-IPKOVICH E,NEMETH D,et al.How can the depressed mind extract and remember predictive relationships of the environment?Evidence from implicit probabilistic sequence learning[J].Prog Neuropsychopharmacol Biol Psychiatry,2018,81:17-24.
[20] MIRZA S S,LKRAM M A,BOS D,et a1.Mild cognitive impairment and risk of depression and anxiety:a population-based study[J].Alzheimers Dement,2017,13(2):130-139. |
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