The tendency for a clinician to ignore or exaggerate
symptoms in one gender, causing the true picture of diagnosis to become distorted
Alpha bias
Exaggerating the differences between men and women
Beta bias
Minimizing the differences between men and women
Hambrecht et al. (1993) found that males & females are equally at risk of developing schizophrenia
Since the 1980s, men have been diagnosed with schizophrenia more commonly than woman at a ratio of
1.4 to 1 (Fischer & Burchanan, 2017)
Cotton et al. (2009) says that one possible explanation for women’s underdiagnosis stems from their closer relationships
Women's closer connections allow them to have better interpersonal functioning since they get more support. This then leads to women with schizophrenia functioning
better than men, and evading diagnosis.
Angermeyer and Kuhn (1988) reviewed 50 studies and found that women had:
fewer admissions to hospitals
shorter stays in hospital if admitted
fewer re-hospitalizations compared to men
Castle et al. (1991) argues that the differences in symptoms amongst men and women suggest there could be two separate conditions, therefore questioning the validity of schizophrenic diagnosis
SZ in females
Less severe experience
Late onset (mid to late 20s)
Atypical features experienced
Depressive symptoms
Favourable prognosis (chance of recovery)
SZ in males
More severe experience
Earlier onset (late teens)
Typical features experienced
Negative symptoms
Chronic experience of the illness
What did Daphna Joel et al. (2015) find about male and female brains?