%0 Conference Paper %1 Marschollek2010 %A Marschollek, Michael %A Rehwald, Anja %A Gietzelt, Matthias %A Song, Bianying %A Wolf, Klaus-Hendrik %A Haux, Reinhold %B MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics %C Amsterdam %D 2010 %E Safran, C. %E Reti, S. %E Marin, H.F. %I IOS Press %K /&/ Accidental Activities Ambulatory, Assessment, Assessment; Daily Factors Falls, Follow-Up Germany, Hazards Humans; Living; Models; Monitoring, Needs Prevalence; Proportional Risk Studies; control/statistics data; epidemiology; methods; numerical of prevention utilization; %N Pt 1 %P 68--72 %R 10.3233/978-1-60750-588-4-68 %T Daily activities and fall risk--a follow-up study to identify relevant activities for sensor-based fall risk assessment %V 160 %X The demographic change will lead to an increase in the incidence of falls in the elderly. Technological progress allows for unobtrusive physical activity measurement with miniature sensors, e.g. accelerometers. Yet it is unclear which activities or activity patterns are associated with an increased fall risk. The aim of the research for this paper is to identify daily physical activities associated with a high fall risk. A one-year follow-up study was conducted with n=50 geriatric patients who took part in a telephone interview to assess fall events, their consequences and a set of daily physical activities. Descriptive analysis of the data shows that there are marked differences between fallers (n=21) and non-fallers (n=29) in the overall activity level, the amount of shopping activity and associated locomotion, and in the intensity of light household work. The results confirm that there are differences in typical daily activities between fallers and non-fallers that may be used as parameters to enhance fall prediction models.

@inproceedings{Marschollek2010, abstract = {The demographic change will lead to an increase in the incidence of falls in the elderly. Technological progress allows for unobtrusive physical activity measurement with miniature sensors, e.g. accelerometers. Yet it is unclear which activities or activity patterns are associated with an increased fall risk. The aim of the research for this paper is to identify daily physical activities associated with a high fall risk. A one-year follow-up study was conducted with n=50 geriatric patients who took part in a telephone interview to assess fall events, their consequences and a set of daily physical activities. Descriptive analysis of the data shows that there are marked differences between fallers (n=21) and non-fallers (n=29) in the overall activity level, the amount of shopping activity and associated locomotion, and in the intensity of light household work. The results confirm that there are differences in typical daily activities between fallers and non-fallers that may be used as parameters to enhance fall prediction models.}, added-at = {2013-07-30T15:13:48.000+0200}, address = {Amsterdam}, author = {Marschollek, Michael and Rehwald, Anja and Gietzelt, Matthias and Song, Bianying and Wolf, Klaus-Hendrik and Haux, Reinhold}, biburl = {https://www.bibsonomy.org/bibtex/225dc7bd1429c6c796b2b858611057882/khwolf}, booktitle = {MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics}, doi = {10.3233/978-1-60750-588-4-68}, editor = {Safran, C. and Reti, S. and Marin, H.F.}, institution = {Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig-Institute of Technology and Hannover Medical School, Germany. michael.marschollek@plri.de}, interhash = {534ff27fd40f72dafddb001d426cce3a}, intrahash = {25dc7bd1429c6c796b2b858611057882}, keywords = {/&/ Accidental Activities Ambulatory, Assessment, Assessment; Daily Factors Falls, Follow-Up Germany, Hazards Humans; Living; Models; Monitoring, Needs Prevalence; Proportional Risk Studies; control/statistics data; epidemiology; methods; numerical of prevention utilization;}, language = {english}, medline-pst = {ppublish}, number = {Pt 1}, owner = {Klaus-Hendrik Wolf}, pages = {68--72}, pmid = {20841652}, publisher = {IOS Press}, series = {Stud Health Technol Inform}, timestamp = {2013-07-30T15:13:53.000+0200}, title = {Daily activities and fall risk--a follow-up study to identify relevant activities for sensor-based fall risk assessment}, volume = 160, year = 2010 }