Shift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics.

IF 4.1 Q2 PSYCHIATRY
Emily A Farina, Catalina Mourgues-Codern, Katie Stimler, Joshua Kenney, Abhishek Saxena, Hesham Mukhtar, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Tyrone D Cannon, Barbara Cornblatt, Lauren Ellman, James Gold, Matcheri Keshavan, Daniel H Mathalon, Vijay A Mittal, Diana O Perkins, Jason Schiffman, Steven M Silverstein, Gregory P Strauss, William S Stone, Elaine F Walker, James Waltz, Philip Corlett, Albert R Powers, Scott W Woods
{"title":"Shift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics.","authors":"Emily A Farina, Catalina Mourgues-Codern, Katie Stimler, Joshua Kenney, Abhishek Saxena, Hesham Mukhtar, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Tyrone D Cannon, Barbara Cornblatt, Lauren Ellman, James Gold, Matcheri Keshavan, Daniel H Mathalon, Vijay A Mittal, Diana O Perkins, Jason Schiffman, Steven M Silverstein, Gregory P Strauss, William S Stone, Elaine F Walker, James Waltz, Philip Corlett, Albert R Powers, Scott W Woods","doi":"10.1038/s41537-025-00663-5","DOIUrl":null,"url":null,"abstract":"<p><p>Historically, large samples of individuals at clinical high risk (CHR) for psychosis have mirrored overt psychotic disorders in both sex (predominantly male) and age representation (adolescent to early adulthood onset). We report on a recent CHR sample suggesting a shift in these distributions and explore contributing factors and clinical implications. We hypothesized that demographic differences would be related to recruitment sources and that age, sex, and recruitment sources would be related to baseline clinical profiles. Baseline data were included from the recent computerized assessment of psychosis risk (CAPR) study and the second and third waves of the North American Prodrome Longitudinal Study (NAPLS-2 and 3). Hierarchical regression was used to examine differences in sex, age, and recruitment sources between samples and relationships with clinical characteristics. Univariate analyses revealed a significant shift to female predominance, older age, and a change in recruitment source from NAPLS to CAPR. Multivariate analyses indicated that between-study differences in sex and age were conditional on recruitment source, with the apparent study effect driven by differences in the non-self-referred groups. More than 60% of participants recruited through internet self-referrals were female across samples. Clinical heterogeneity was partly related to age, sex, and recruitment source differences. Internet-based self-referrals were older and showed less severe negative symptoms, disorganization, and general symptoms and higher role functioning than non-self-referred participants. Findings highlight the importance of recruitment sources for CHR sample characteristics. Recruitment source effects, including those from internet sources, should be investigated in other CHR samples.</p>","PeriodicalId":74758,"journal":{"name":"Schizophrenia (Heidelberg, Germany)","volume":"11 1","pages":"123"},"PeriodicalIF":4.1000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12501016/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Schizophrenia (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s41537-025-00663-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Historically, large samples of individuals at clinical high risk (CHR) for psychosis have mirrored overt psychotic disorders in both sex (predominantly male) and age representation (adolescent to early adulthood onset). We report on a recent CHR sample suggesting a shift in these distributions and explore contributing factors and clinical implications. We hypothesized that demographic differences would be related to recruitment sources and that age, sex, and recruitment sources would be related to baseline clinical profiles. Baseline data were included from the recent computerized assessment of psychosis risk (CAPR) study and the second and third waves of the North American Prodrome Longitudinal Study (NAPLS-2 and 3). Hierarchical regression was used to examine differences in sex, age, and recruitment sources between samples and relationships with clinical characteristics. Univariate analyses revealed a significant shift to female predominance, older age, and a change in recruitment source from NAPLS to CAPR. Multivariate analyses indicated that between-study differences in sex and age were conditional on recruitment source, with the apparent study effect driven by differences in the non-self-referred groups. More than 60% of participants recruited through internet self-referrals were female across samples. Clinical heterogeneity was partly related to age, sex, and recruitment source differences. Internet-based self-referrals were older and showed less severe negative symptoms, disorganization, and general symptoms and higher role functioning than non-self-referred participants. Findings highlight the importance of recruitment sources for CHR sample characteristics. Recruitment source effects, including those from internet sources, should be investigated in other CHR samples.

精神病临床高风险(CHR)个体的性别和年龄变化:与招募方法差异的关系以及对样本特征的影响
从历史上看,精神病临床高风险(CHR)个体的大样本反映了明显的精神障碍在性别(主要是男性)和年龄代表(青春期到成年早期发病)。我们报告了最近的CHR样本,表明这些分布发生了变化,并探讨了影响因素和临床意义。我们假设人口统计学差异与招募来源有关,年龄、性别和招募来源与基线临床资料有关。基线数据来自最近的计算机化精神病风险评估(CAPR)研究和北美前驱期纵向研究(napl -2和3)的第二和第三波。分层回归用于检查样本之间性别、年龄和招募来源的差异以及与临床特征的关系。单变量分析显示女性优势、年龄较大以及招募来源从NAPLS到CAPR的变化。多因素分析表明,性别和年龄的研究间差异取决于招募来源,明显的研究效应是由非自我参照组的差异驱动的。通过网络自我推荐招募的参与者中,超过60%是女性。临床异质性部分与年龄、性别和招募来源的差异有关。与非自我推荐的参与者相比,基于互联网的自我推荐参与者年龄更大,表现出的负面症状、混乱和一般症状更轻,角色功能更高。研究结果强调了招聘来源对CHR样本特征的重要性。应在其他CHR样本中调查招聘源效应,包括来自互联网的招聘源效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信