Kikhavani Sattar, Taghinejad Hamid
Associate Professor, Department of Clinical Psychology, Prevention of Psychosocial Injuries Research Center, Ilam University of Medical Sciences , Ilam, Iran .
Assistant Professor, Department of Nursing, Faculty of Nursing and Midwifery, Ilam University of Medical Sciences , Ilam, Iran .
J Clin Diagn Res. 2015 Oct;9(10):VC04-VC07. doi: 10.7860/JCDR/2015/14337.6668. Epub 2015 Oct 1.
Many risk factors can affect depression and coronary disease, these including physiological and psychological risk factors (such as personality traits).
Our objectives were to examine whether personality factors (The Five-Factor Model) can predict depression score in the depressed and coronary heart disease (CHD) individuals compared to that of healthy subjects.
To achieve the above objectives, 100 depressed (Mean=35.90 years, SD=10.59 years), and 100 CHD (Mean=46.42 years, SD=12.52 years), patients and 100 healthy subjects (Mean = 37.97 years, SD =12.49 years) were selected by convenience sampling method. To compare the three groups of participants, ANOVA test was used. Stepwise Multiple Regression Analysis was used to identify the variables that most closely predict the perceived stress and depression scores. Pearson's Correlation Co-efficient was used to examine the correlation between variables.
In Neuroticism, the CHD patients had significant highest scores, followed by depressed patients. The healthy group had the least scores. In case of Extraversion, Openness and Agreeableness, healthy participants had significant higher scores followed by the depressed and CHD patients. Only in conscientiousness factor, Depressive and CHD groups had statistically less scores compared to the healthy group. Also, high Neuroticism and Age, and low Extraversion were significant protective factors for depression Scores of CHD patients, while high Neuroticism and low Extraversion function as predictors in the depressed and healthy groups.
The effects of Neuroticism and Extraversion on depression have been reported as inconsistent across previous studies. This study indicates that, older CHD individuals with high Neuroticism and low Extraversion scores are more vulnerable for depression.
许多风险因素会影响抑郁症和冠心病,其中包括生理和心理风险因素(如人格特质)。
我们的目的是研究与健康受试者相比,人格因素(五因素模型)是否能够预测抑郁症患者和冠心病患者的抑郁得分。
为实现上述目的,采用便利抽样法选取了100名抑郁症患者(平均年龄=35.90岁,标准差=10.59岁)、100名冠心病患者(平均年龄=46.42岁,标准差=12.52岁)以及100名健康受试者(平均年龄=37.97岁,标准差=12.49岁)。使用方差分析来比较三组参与者。采用逐步多元回归分析来确定最能预测感知压力和抑郁得分的变量。使用皮尔逊相关系数来检验变量之间的相关性。
在神经质方面,冠心病患者得分显著最高,其次是抑郁症患者。健康组得分最低。在外向性、开放性和宜人性方面,健康参与者得分显著更高,其次是抑郁症患者和冠心病患者。仅在尽责性因素方面,抑郁症组和冠心病组得分在统计学上低于健康组。此外,高神经质和年龄以及低外向性是冠心病患者抑郁得分的显著保护因素,而高神经质和低外向性在抑郁症组和健康组中起到预测作用。
先前的研究报道神经质和外向性对抑郁症的影响并不一致。本研究表明,神经质得分高且外向性得分低的老年冠心病患者更容易患抑郁症。