Positive and Negative Relationship between Anxiety and Depression of Patients in Pain: A Bifactor Model Analysis

被引:28
|
作者
Xie, Jingdan [1 ,2 ]
Bi, Qian [3 ]
Li, Wen [4 ]
Shang, Wen [5 ]
Yan, Ming [6 ]
Yang, Yebing [1 ]
Miao, Danmin [1 ]
Zhang, Huiming [2 ]
机构
[1] Fourth Mil Med Univ, Dept Psychol, Xian 710032, Peoples R China
[2] PLA, Gen Logist Dept, Out Patient Dept 2, Beijing, Peoples R China
[3] Fourth Mil Med Univ, Xijing Hosp Digest Dis, State Key Lab Canc Biol, Xian 710032, Peoples R China
[4] Chinese Peoples Liberat Army Gen Hosp, Affiliated Hosp 1, Beijing, Peoples R China
[5] PLA, Dept Hlth, Gen Logist Dept, Beijing, Peoples R China
[6] Fourth Mil Med Univ, Dept Orthopaed, Xijing Hosp, Xian 710032, Peoples R China
来源
PLOS ONE | 2012年 / 7卷 / 10期
关键词
HOSPITAL ANXIETY; SCALE HADS; VALIDATION; VALIDITY;
D O I
10.1371/journal.pone.0047577
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: The relationship between anxiety and depression in pain patients has not been clarified comprehensively. Previous research has identified a common factor in anxiety and depression, which may explain why depression and anxiety are strongly correlated. However, the specific clinical features of anxiety and depression seem to pull in opposite directions. Objective: The purpose of this study is to develop a statistical model of depression and anxiety, based on data from pain patients using Hospital Anxiety and Depression Scale (HADS). This model should account for the positive correlation between depression and anxiety in terms of a general factor and also demonstrate a latent negative correlation between the specific factors underlying depression and anxiety. Methods: The anxiety and depression symptoms of pain patients were evaluated using the HADS and the severity of their pain was assessed with the visual analogue scale (VAS). We developed a hierarchical model of the data using an IRT method called bifactor analysis. In addition, we tested this hierarchical model with model fit comparisons with unidimensional, bidimensional, and tridimensional models. The correlations among anxiety, depression, and pain severity were compared, based on both the bidimensional model and our hierarchical model. Results: The bidimensional model analysis found that there was a large positive correlation between anxiety and depression (r = 0.638), and both scores were significantly positively correlated with pain severity. After extracting general factor of distress using bifactor analysis, the specific factors underlying anxiety and depression were weakly but significantly negatively correlated (r = -0.245) and only the general factor was significantly correlated with pain severity. Compared with the three first-order models, the bifactor hierarchical model had the best model fit. Conclusion: Our results support the hypothesis that apart from distress, anxiety and depression are inversely correlated. This finding has not been convincingly demonstrated in previous research.
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页数:7
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