인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Knowledge about the living conditions among people with intellectual disabilities (ID) is globally scarce. Even in countries with good access to registers, this is often partly due to the absence of a single, comprehensive, nationwide register of individuals with ID or the inability to identify all individuals with ID within existing registers. In Sweden, the Halmstad University Register on Pupils with ID (HURPID) was established to fill this gap. HURPID is based on the population that left the Swedish Upper Secondary School for pupils with ID (USSID) in 2001–2020. Most young people with ID in Sweden are expected to attend USSID. The aims of this paper were to describe the construction, structure, and content of HURPID, to validate the register, and to provide examples of what it has been used for. Methods Based on school leaving certificates or corresponding, personal identity number, gender, educational programme, municipality where the school was located, and graduation year were registered. HURPID has been linked with various registers in projects addressing research questions about the target group's living conditions. Results HURPID consists of 26,910 individuals (11,078 women, 15,832 men), born in 1973–2003. Through linkages, knowledge has been gained about occupational patterns, psychiatric comorbidity, mortality, substance use, criminality and victimisation. Conclusions HURPID demonstrates the highest completeness of individuals with ID of working age in Sweden. This makes it possible to follow the development of adolescents with ID over time. As one of the most extensive and comprehensive registers of individuals with ID in the world, it also forms a unique register internationally.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
