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Journal of the National Medical Association logoLink to Journal of the National Medical Association
. 2006 Apr;98(4):551–558.

Effects of gender-matching and racial self-labeling on paranoia in African-American men with severe mental illness.

Arthur L Whaley 1
PMCID: PMC2569233  PMID: 16623068

Abstract

OBJECTIVE: The present study examined the effects of gender-matching and racial self-labeling on the paranoid symptoms of African-American men with severe mental illness. It was hypothesized that gender matching would: 1) reduce self-reports of both interpersonal and cultural paranoia in these male participants with severe mental illness, and 2) the gender effect would be strongest among those patients who racially self-label as African-American. METHOD: One-hundred-twenty-four African-American male psychiatric patients were interviewed by a male or female black psychologist. A multivariate analysis of variance (MANOVA) was conducted with the Fenigstein Paranoia Scale (FPS) and Cultural Mistrust Inventory (CMI) as dependent variables, and the male gender-matched group (0=no, 1=yes) and racial self-labeling as the independent variables controlling for age; education; never married (0=no, 1=yes); diagnosis of schizophrenia (0=no, 1=yes); need for approval; self-esteem; and the scales of Distrust, Perceived Hostility of Others, and False Beliefs and Perceptions from the Psychiatric Epidemiology Research Interview. RESULTS: There was a significant main effect for male gender-matching on the FPS. Participants in the male gender-matched group scored lower than the other group on the FPS. For the CMI, there was a significant interaction of male gender match by racial self-labeling effect. Participants who were male gender-matched and self-labeled as African-American reported the highest scores on the CMI. CONCLUSION: The findings provide partial support for the hypotheses. Both gender-matching and racial identity together may be important considerations for black males needing mental health services.

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Selected References

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