Suttajit Sirijit, Arunpongpaisal Suwanna, Srisurapanont Manit, Thavichachart Nuntika, Kongsakon Ronnachai, Chantakarn Sunanta, Chantarasak Vasu, Jariyavilas Apichat, Jaroensook Piyadit, Kittiwattanagul Khanogwan, Nerapusee Osot
Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Department of Psychiatry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Neuropsychiatr Dis Treat. 2015 Sep 29;11:2471-7. doi: 10.2147/NDT.S88085. eCollection 2015.
This study aimed to examine symptoms/demographic characteristics as predictors for psychosocial functioning among individuals with schizophrenia. The Personal and Social Performance (PSP) scale was used to assess psychosocial functioning. Other measures of interest included were the Clinical Global Impression, Severity scale, and the Marder's five-factor model of the Positive and Negative Syndrome Scale. This study included 199 participants with non-acute stage schizophrenia. Spearman correlation coefficients and stepwise multiple linear regression analyses were applied to determine the correlates and predictors of PSP domain/total scores. Younger age, earlier age of schizophrenia onset, severe illness, positive symptoms, negative symptoms, disorganized thought, hostility/excitement, and anxiety/depression were found to significantly correlate with poor functioning. Severe illness and negative symptoms are the main predictors of greater impairment of socially useful activities, personal and social relationships, and self-care. Further prospective studies in other settings, which would include an increased number of variables such as neurocognitive function and social support, are warranted.
本研究旨在探讨症状/人口统计学特征作为精神分裂症患者心理社会功能预测指标的情况。采用个人和社会表现(PSP)量表评估心理社会功能。其他感兴趣的测量指标包括临床总体印象、严重程度量表以及阳性和阴性症状量表的马德五因素模型。本研究纳入了199名非急性期精神分裂症患者。应用斯皮尔曼相关系数和逐步多元线性回归分析来确定PSP领域/总分的相关因素和预测指标。研究发现,年龄较小、精神分裂症发病年龄较早、病情严重、阳性症状、阴性症状、思维紊乱、敌意/兴奋以及焦虑/抑郁与功能不良显著相关。病情严重和阴性症状是社会有益活动、个人和社会关系以及自我照料受损更严重的主要预测指标。有必要在其他环境中开展进一步的前瞻性研究,纳入更多变量,如神经认知功能和社会支持等。