| Literature DB >> 34861423 |
Luz María Alliende1, Leticia S Czepielewski2, David Aceituno3, Carmen Paz Castañeda4, Camila Diaz5, Barbara Iruretagoyena6, Carlos Mena7, Cristian Mena8, Juan Pablo Ramirez-Mahaluf9, Ángeles Tepper9, Javiera Vasquez9, Lais Fonseca10, Viviane Machado10, Camilo E Hernández11, Cristian Vargas-Upegui11, Gladys Gomez-Cruz12, Luis F Kobayashi-Romero12, Tomas Moncada-Habib12, Sara Evans-Lacko13, Rodrigo Bressan14, Clarissa S Gama15, Carlos Lopez-Jaramillo11, Camilo de la Fuente-Sandoval12, Alfonso Gonzalez-Valderrama8, Juan Undurraga16, Ary Gadelha10, Nicolas A Crossley17.
Abstract
Previous studies have suggested that subjects participating in schizophrenia research are not representative of the demographics of the global population of people with schizophrenia, particularly in terms of gender and geographical location. We here explored if this has evolved throughout the decades, examining changes in geographical location, gender and age of participants in studies of schizophrenia published in the last 50 years. We examined this using a meta-analytical approach on an existing database including over 3,000 studies collated for another project. We found that the proportion of studies and participants from low-and-middle income countries has significantly increased over time, with considerable input from studies from China. However, it is still low when compared to the global population they represent. Women have been historically under-represented in studies, and still are in high-income countries. However, a significantly higher proportion of female participants have been included in studies over time. The age of participants included has not changed significantly over time. Overall, there have been improvements in the geographical and gender representation of people with schizophrenia. However, there is still a long way to go so research can be representative of the global population of people with schizophrenia, particularly in geographical terms.Entities:
Keywords: Age; Diversity; Gender; Global diversity; High-income countries; Low-and-middle-income countries; Schizophrenia
Mesh:
Year: 2021 PMID: 34861423 PMCID: PMC8728886 DOI: 10.1016/j.psychres.2021.114279
Source DB: PubMed Journal: Psychiatry Res ISSN: 0165-1781 Impact factor: 3.222