| Literature DB >> 34417664 |
Qiang Hu1, Zheng Chen, Zheng Lin1, ZhiXing Li1, YanYan Wei1, LiHua Xu1, XiaoChen Tang1, YeGang Hu1, Tao Chen2,3,4, JiJun Wang5,6,7, TianHong Zhang8, ChunBo Li9.
Abstract
Gender differences in the frequency and severity of psychotic symptoms have been widely reported. However, in the screening process for the detection of early psychosis, gender differences were largely overlooked in China. This study investigated gender differences in self-reported psychotic symptoms in a clinical population who initially visited a mental health service. In total, 1931 consecutive new patients were included in the current analysis, with a mean age of 25.3 years, including 852 (44.1%) men and 1079 (55.9%) women, of whom 388 (20.1%) had psychotic disorders and 1543 (79.9%) had non-psychotic disorders. Psychotic symptoms were assessed using the PRIME Screen-Revised (PS-R) questionnaire. The cohort was grouped according to gender, age (adolescents ≤ 21 years, adults > 21 years), and clinical diagnosis. Within the full sample, gender differences in psychotic symptoms were not significant, except that females appeared to have more severe symptoms of disorganized communication than males. However, gender differences began to appear at subgroup levels, after stratification by age and diagnosis. Female adolescents reported more severe psychotic symptoms than male adolescents, especially in the symptom of perceptual abnormalities, which refer to hallucinations. Different patterns and predictors were found to significantly discriminate between psychotic and non-psychotic disorders among age and gender groups. Our study highlights gender differences in the severity, frequency, and pattern of self-reported psychotic symptoms when screening in a first help-seeking population. Therefore, gender differences should be considered during psychotic symptoms screening.Entities:
Keywords: Gender effect; Outpatient; Psychotic symptom; Self-reported
Mesh:
Year: 2021 PMID: 34417664 DOI: 10.1007/s00737-021-01170-z
Source DB: PubMed Journal: Arch Womens Ment Health ISSN: 1434-1816 Impact factor: 3.633