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
오류제보하기
Objective：To assess the effectiveness of Internet of Things (IoT)-based behavioral intervention for reducing depressive symptom of older adults with major depressive disorder. Methods：A 12-week randomized cross-over controlled study was conducted at community mental health center. We recruited 39 participants with major depressive disorder aged 60 years or older. As a multidomain intervention, four evidence-based therapeutic factors (physical activity, healthy diet, social activity, and emotional regulation) were approached. To maintain motivation of participants, we applied contingency management using IoT device based on operant conditioning theory. Results：The primary outcome was change of depressive symptom measured by Montgomery-Asberg Depression Rating Scale (MADRS). Mixed-effect model compared the effectiveness of intervention and usual care management (intervention by time and period interaction, p=0.017). And during the study period consisting of a total of visit 8, significant group difference was shown in post hoc test at visit 4 (MADRS score of intervention group : MADRS score of control group=7.7±3.4 : 21.1±11.5, p=0.008). Conclusion：Community-implementable IoT-based behavioral intervention resulted in greater reduction of depressive symptom of elderly with major depressive disorder
목차
등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
Zanella A / 2014 / Internet of things for smart cities / IEEE Internet Things 1:22~32
Dimiter V. Dimitrov / 2016 / Medical Internet of Things and Big Data in Healthcare / Healthcare Informatics Research 22(3):156~163
Ivascu T / 2015 / A multi-agent architecture for ontology- based diagnosis of mental disorders / 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) :423~430
Alam M / 2016 / Web of objects based ambient assisted living framework for emergency psychiatric state prediction / Sensors 16:1431
McWhorter J / 2017 / A wearable health monitoring system for posttraumatic stress disorder / Biol Inspir Cogn Arc 22:44~50
Dimiter V. Dimitrov / 2016 / Medical Internet of Things and Big Data in Healthcare / Healthcare Informatics Research 22(3):156~163
Ivascu T / 2015 / A multi-agent architecture for ontology- based diagnosis of mental disorders / 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) :423~430
Alam M / 2016 / Web of objects based ambient assisted living framework for emergency psychiatric state prediction / Sensors 16:1431
McWhorter J / 2017 / A wearable health monitoring system for posttraumatic stress disorder / Biol Inspir Cogn Arc 22:44~50
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