|
|
Correlation of health questionnaire-9 scores with emotional intelligence and automatic thinking in patients with depression |
ZHANG Xuan WANG Chao HUANG Hui▲ |
Department of Neurology, Huaibei People’s Hospital, Anhui Province, Huaibei 235000, China
|
|
|
Abstract Objective To explore the correlation of patient health questionnaire-9 (PHQ-9) with emotional intelligence and automatic thinking in patients with depression. Methods A retrospective analysis was performed on 86 patients with depression admitted to the psychological outpatient department of Huaibei People’s Hospital, Anhui Province from April to December 2021. All patients were investigated by PHQ-9, emotional intelligence scale (EIS), and automatic thinking questionnaire (ATQ). According to PHQ-9 score, depression patients were divided into mild, moderate, moderate, and severe group. EIS score and ATQ score of the four groups were compared, and the related factors affecting the severity of depression patients were analyzed by orderly logistic regression analysis. The relationship between PHQ-9 score, EIS score, and ATQ score in patients with depression were analyzed by Pearson correlation analysis. Results There were significant differences in EIS and ATQ scores among all groups (P<0.05). EIS scores of severe, moderate, and moderate groups were lower than that of mild group, ATQ score was higher than that of mild group; the EIS scores of severe and moderate severe groups were lower than that of moderate group, and the ATQ score was higher than that of moderate group; the EIS score of severe group was lower than that of moderate to severe group, and the ATQ score was higher than that of moderate to severe group, with statistical significances (P<0.05). Orderly logistic regression analysis showed that EIS and ATQ scores were risk factors affecting the severity of depression patients (OR[95%CI]: 3.412[3.125-3.717], 3.171[2.984-3.358], P<0.05). The results of Pearson correlation analysis showed that there was no correlation of PHQ-9 scores with EIS and ATQ scores (P>0.05). Conclusion Both EIS score and ATQ score are risk factors that affect the severity of depression. Therefore, interventions to improve emotional intelligence and automatic thinking can be further explored to enrich the clinical treatment of depression.
|
|
|
|
|
[1] 马惠霞,黎浩钦,刘军芳,等.情绪惰性的影响因素及与抑郁症的关系[J].中国临床心理学杂志,2020,28(1):136- 139,144.
[2] 李一兰,李淑云,童梓顺,等.抑郁症治疗前后神经及认知执行功能的变化和相关性研究[J].中国医药科学,2021,11(18):18-22.
[3] 曲姗,史欣欣,谢稚鹃,等.病人健康问卷和广泛性焦虑量表在非心源性胸痛患者中筛查抑郁焦虑的效度和信度[J].中国心理卫生杂志,2021,35(5):376-381.
[4] McCord DM,Provost RP. Construct validity of the PHQ-9 depression screen:correlations with substantive scales of the MMPI-2-RF [J]. J Clin Psychol Med Settings,2020,27(1):150-157.
[5] 顾艳虹,施忠英,李华,等.基于情绪智力模型的情绪管理方案在双相情感障碍抑郁发作患者中的应用效果[J].中国护理管理,2022,22(7):1009-1014.
[6] 刘莉,张卿,高鹰,等.生活方式与抑郁症状的关联性研究:TCLSIH研究[J].中华流行病学杂志,2020,41(10):1674-1680.
[7] 哈保卫,杨拥军.度洛西汀联合认知行为干预治疗抑郁症的临床效果分析[J].国际精神病学杂志,2020,47(1):74-77.
[8] 中华医学会,中华医学会杂志社,中华医学会全科医学分会,等.抑郁症基层诊疗指南(实践版·2021)[J].中华全科医师杂志,2021,20(12):1261-1268.
[9] 王晓磊,邢文龙,田建华,等.全病程管理模式对抑郁障碍治疗效果的影响研究[J].东南大学学报(医学版),2020,39(5):614-619.
[10] 国焕.青少年抑郁症患者自我同一性与心理资本、父母/同伴依恋的相关性[D].济南:山东大学,2018,8-14.
[11] 金群,张守亚,杜志梅.产后抑郁患者心理健康知识态度筛查结果和社会支持干预效果分析[J].中国妇幼保健,2021,36(4):732-734.
[12] 丁秀珊,徐彩霞,徐国洪.抑郁症患者精神焦虑与多导睡眠图参数相关性研究[J].中国医药科学,2021,11(11):201-204,226.
[13] 王芳,金金,胡笑楠,等.抑郁症嗅觉功能与临床特征的关系探讨[J].脑与神经疾病杂志,2020,28(4):262-265.
[14] 刘贺,南彩,马思梦,等.抑郁症患者事件相关电位P300与健康问卷-9评分的相关性及其临床意义分析[J].神经损伤与功能重建,2020,15(2):91-94.
[15] Mitchell HG,Frayne D,Wyatt B,et al. Comparing the PHQ- 9 to the multidimensional behavioral health screen in predicting depression-related symptomatology in a primary medical care sample [J]. J Pers Assess,2020,102(2):175- 182.
[16] 韩利,张红,郭虹.健康教育联合有氧运动对青少年抑郁症的干预效果[J].中国学校卫生,2020,41(6):859- 862,866.
[17] 秦倩,李兵,陈明炫,等.中学生儿童期心理虐待情绪智力及特质愤怒与攻击性行为关系[J].中国学校卫生,2021, 42(1):96-99.
[18] 韩利,张红,郭虹.健康教育联合有氧运动对青少年抑郁症的干预效果[J].中国学校卫生,2020,41(6):859- 862,866.
[19] Abdollahi A,Hosseinian S,Rasuli R. Emotional intelligence moderates anhedonia and suicidal ideation in depressed patients [J]. Psychol Rep,2020,123(3):660-673.
[20] Bahrami S,Shadrin A,Frei O,et al. Genetic loci shared between major depression and intelligence with mixed directions of effect [J]. Nat Hum Behav,2021,5(6):795-801.
[21] 祁娜,王炳臣,徐天朝.重复经颅磁刺激治疗重度抑郁症的效果及对负性自动思维和执行功能的影响[J].东南国防医药,2021,23(2):155-158.
[22] 杜建彬,董昆仑.伴或不伴述情障碍抑郁症患者负性自动思维与应对方式研究[J].临床精神医学杂志,2019, 29(1):49-52.
[23] Iancu I,Bodner E,Joubran S,et al. Negative and positive automatic thoughts in social anxiety disorder [J]. Isr J Psychiatry Relat Sci,2015,52(2):129-135.
[24] 薛娟,马文斌,涂华,等.不同人群抑郁症特点和叶酸干预的研究进展[J].中国当代医药,2022,29(16):53-56.
[25] 姜岩琳.抑郁症与其他系统之间关系的研究进展[J].中国医学创新,2022,19(1):179-183.
[26] 吴婷婷,娄永翱,沈翠珍.老年抑郁症患者复发影响因素分析[J].中国医药导报,2022,19(29):77-80.
[27] 成荫,陈书燕,赵威威,等.自动思维在抑郁症患者自我怜悯和心理痛苦间的中介作用[J].中华护理杂志,2022, 57(18):2192-2197.
[28] 田宁.心理护理合并护患沟通技能在抑郁症患者中的应用及对患者依从性、焦虑抑郁评分改善情况的影响[J].中国医药科学,2021,11(9):133-136.
[29] 潘狄,周勤,刘岩,等.正念疗法对青少年抑郁症患者负面情绪、认知功能及生活质量的影响[J].中外医学研究,2023,21(17):175-179.
[30] 化振,杨来启,吴兴曲,等.重度抑郁症患者心理弹性及相关因素的研究[J].解放军预防医学杂志,2021,39(1):16-18. |
|
|
|