Cognitive Insight and Causal Attribution in the Development of Self-Stigma Among Individuals With Schizophrenia

Participants in this study consisted of 162 Chinese mental health service consumers (107 men and 55 women) from 15 community-based mental health service centers in Hong Kong. They had a broad DSM-IV diagnosis of schizophrenia or other psychotic disorder, as determined by psychiatrists before individuals' intake at the respective service centers. The sample had a mean±SD age of 36±10.70 years (range of 18-64 years). Seventy-nine (49 percent) participants had at least a high school education. Age at onset was 35±10.38 years, and illness duration was 15.4±9.33 years. All of the participants were taking psychotropic medications at the time of the study.

Ethical approval for the study was obtained at the local institutional review board. Data were collected in group sessions from December 2004 to January 2005. Before data collection, the nature of the study was described to the consumers, and their informed consent was obtained. Each session included five to 18 consumers, who completed a self-report questionnaire with the help of research assistants.

Self-stigma was assessed by the 15-item self-stigma scale, which we developed and validated to measure the extent to which stigmatized individuals internalize public stigma and are affected emotionally, cognitively, and behaviorally. The scale was designed to be applicable to various stigmatized groups on the basis of diagnosis (such as people with mental illness or HIV/AIDS) or demographic characteristics (such as gay, lesbian, or bisexual individuals, or immigrants). The phrase "an individual recovering from mental illness" was inserted as the reference point for each item. Sample items for each dimension included "I am unhappy being [phrase]" (affective), "I conceal my identity as [phrase] from others" (behavioral), and "I am inferior to others because I am [phrase]" (cognitive). Participants rated their responses on a 4-point Likert scale that ranges from 1, strongly disagree, to 4, strongly agree. Factor analysis showed a one-factor structure to the scale, and the total mean score was used for analysis (Cronbach's α =.95).

The Beck Cognitive Insight Scale (BCIS) ( 6 ) was used to assess consumers' cognitive insight. The BCIS aims to measure the degree of self-reflectiveness in recognizing unusual experiences and self-certainty in interpretation of experiences. A composite index was calculated by subtracting the self-certainty subscale score (Cronbach's α =.71) from the self-reflectiveness subscale score (Cronbach's α =.82). Attribution of personal responsibility was assessed by items from the Causal Dimension Scale II ( 7 ) (Cronbach's α =.61). The Modified Colorado Symptom Index ( 8 ) was used to assess overall symptom severity of the consumers as symptomatology was found to be related to self-stigma ( 9 ) (Cronbach's α =.94). The medication side effects scale we developed consists of a list of 15 commonly experienced medical side effects of psychotropic medication and assesses the impact of the various side effects on consumers' daily living (Cronbach's α =.91).

Hierarchical multiple-regression analysis was conducted to investigate the effects of cognitive insight and personal responsibility on self-stigma. Demographic factors, including gender, age, and education, along with illness-related factors, such as illness duration, symptom severity, and perceived medication side effects, were controlled for in the analysis.

The overall regression model accounted for 31 percent of the variance in self-stigma (F=7.61, df=8 and 147, p<.001). Table 1 shows the mean scores on the measures, and Table 2 shows the results of the hierarchical regression analysis. None of the demographic factors were related to self-stigma. Among the illness-related factors, only symptom severity was significantly related to self-stigma, with a greater level of symptomatology related to a higher level of self-stigma (p<.001). When demographic and illness-related factors were accounted for in the model, personal responsibility and cognitive insight were found to add 6 and 4 percent of the variance in self-stigma, respectively (p<.01 for each relationship). On self-attribution, participants who attributed a greater level of personal responsibility to themselves for their illness reported a higher level of self-stigma. In regard to disease awareness, having a greater level of cognitive insight was significantly associated with experiencing a higher level of self-stigma.

This study provides empirical support for the effects of cognitive insight and attribution on self-stigma among individuals diagnosed as having schizophrenia. Mental health consumers who had greater cognitive insight into their illness and assigned greater responsibility to themselves for causing their illness experienced a greater level of self-stigma. Although future research into the mechanisms of this linkage is necessary, it is possible that insight is related to greater awareness of stigmatized status and perceived discrimination in society, which could lead to more internalization of stigma.

Such findings suggest that insight might be a double-edged sword for people with schizophrenia and complicate the understanding of the impact of insight on clinical outcomes. Insight can be an important asset for mental health consumers by enhancing their involvement in their treatment process ( 3, 10 ). Increased insight allows individuals to be cognizant of the symptoms and deficits that are brought about by their illness and of the need to adhere to treatment for recovery. However, such insight also enables consumers to recognize the stigma that exists in society toward individuals who have a mental illness. Such recognition may lead to the internalization of stigma. In recent decades, insight has been conceptualized to be a multidimensional construct ( 3 ). Future studies should further decompose the construct and investigate its myriad effects on the recovery of individuals diagnosed as having schizophrenia. Such work could explore medical outcomes, stigma, psychological well-being, and quality of life.

In this study, the relationship between insight and self-stigma was examined among mental health consumers diagnosed as having severe and persistent psychotic disorders. Given that the relationship between insight and self-stigma may vary depending on the level of cognitive functioning and the coping ability of the clients (with those who are more functional having better skills and abilities to cope with stigma), researchers should include clients with a range of cognitive functioning and severity of psychiatric conditions in future research to comprehensively examine the relationship between insight and stigma.

Another cognitive factor, attribution of responsibility, also was found to be positively related to self-stigma. Mental health consumers who assume personal responsibility for their illness are more likely to experience a greater level of self-blame, feel disabled, and have diminished self-worth. Educating consumers about overattribution of internal causality for their illness and training them to reattribute causality along multiple biological, psychosocial, and environmental lines could reduce their tendency of self-stigmatization.

Last, given that the study was conducted among Chinese participants and that culture may affect individuals' beliefs about mental illness, future research should explicitly address the issue of cultural influence on attributions and lay beliefs about mental illness and test it among culturally diverse groups.

This study was an initial attempt in understanding the effect of cognitive insight and attribution on self-stigma among individuals diagnosed as having schizophrenia. Future studies should focus on testing the causal linkage from multiple dimensions of insight as well as different types of attribution in the development of self-stigma and should use a longitudinal design. In clinical practice, mental health professionals should give more attention to the issue of self-stigma and address it with consumers to reduce its adverse effects on recovery.

This study was supported by the Hong Kong Research Grants Council Competititve Earmarked Research Grant (project no. CUHK-4145/04H). The authors sincerely thank the staff of the New Life Psychiatric Rehabilitation Association for their assistance in data collection.

The authors are affiliated with the Department of Psychology, Chinese University of Hong Kong, Shatin, New Territories, Hong Kong (e-mail: [email protected]).