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강대용,박유현,고태화,홍세화,김성화,한재훈,강영실 연세대학교의과대학 2022 Yonsei medical journal Vol.63 No.-
Purpose: The study aimed to identify which digital biomarkers are collected and which specific devices are used according to vulnerable and susceptible individual characteristics in a living-lab setting. Materials and Methods: A literature search, screening, and appraisal process was implemented using the Web of Science, Pubmed, and Embase databases. The search query included a combination of terms related to “digital biomarkers,” “devices that collect digital biomarkers,” and “vulnerable and susceptible groups.” After the screening and appraisal process, a total of 37 relevant articles were obtained. Results: In elderly people, the main digital biomarkers measured were values related to physical activity. Most of the studies used sensors. The articles targeting children aimed to predict diseases, and most of them used devices that are simple and can induce some interest, such as wearable device-based smart toys. In those who were disabled, digital biomarkers that measured location-based movement for the purpose of diagnosing disabilities were widely used, and most were measured by easy-to-use devices that did not require detailed explanations. In the disadvantaged, digital biomarkers related to health promotion were measured, and various wearable devices, such as smart bands and headbands were used depending on the purpose and target. Conclusion: As the digital biomarkers and devices that collect them vary depending on the characteristics of study subjects, researchers should pay attention not only to the purpose of the study but also the characteristics of study subjects when collecting and analyzing digital biomarkers from living labs.
강대용,이성주 인문사회 21 2020 인문사회 21 Vol.11 No.2
This study was conducted to examine whether there are differences in college students’ social capital among colleges and what factors influenced the social capital. To achieve the purpose, a survey targeted at 1,090 junior and senior college students was carried out, and the result was processed by multi-level model analysis. The results of the analysis were as follows: firstly, the result of basic model analysis showed that there were meaningful differences in college students’ social capital among colleges. Secondly, the result of research model analysis showed that, on the individual side, the students whose majors were not humanities or social sciences and who were preparing for employment showed higher social capital. On the school side, the students who were more satisfied with their colleges and who received more scholarship per student showed higher social capital. The results of this study are expected to contribute to devising means by which to enhance social capital, reflecting the characteristics of students and colleges. 본 연구는 대학 간 대학생의 사회적 자본에 차이가 있는지, 그리고 사회적 자본에 영향을 미치는 요인이 무엇인지 살펴보고자 실행되었다. 이를 위하여 2년제·4년제 대학생 1,090명 대상 설문조사 결과를 다층모형(multilevel model)을 이용하여 분석하였다. 분석결과는 다음과 같다. 첫째, 기초모형 분석 결과, 대학생의 사회적 자본이 대학교별로 차이가 있었다. 둘째, 연구모형 분석 결과, 학생 개인요인으로 인문사회계열 전공이 아닐수록, 취업준비를 하고 있을수록 사회적 자본이 높았다. 학교요인으로 학교만족도가 높을수록, 학생 1인당 장학금이 많을수록 사회적 자본이 높았다. 본 연구결과는 학생과 대학의 특성을 반영한 사회적 자본 제고 방안 마련에 도움이 될 것으로 기대한다.