Physical Activity and Different Concepts of Fall Risk Estimation in Older People--Results of the ActiFE-Ulm Study

• Published in: PloS one 2015-06, Vol.10 (6), p.e0129098-e0129098
• Main Authors: Klenk, Jochen, Kerse, Ngaire, Rapp, Kilian, Nikolaus, Thorsten, Becker, Clemens, Rothenbacher, Dietrich, Peter, Richard, Denkinger, Michael Dieter
• Format: Article
• Language: English
• Subjects: Accelerometers; Accidental Falls - statistics & numerical data; Aged; Aged, 80 and over; Biometrics; Calendars; Cohort analysis; Communities; Confidence intervals; Epidemiology; Exercise; Falls; Female; Fractures; Geriatrics; Gerontology; Health risks; Hospitals; Humans; Incidence; Male; Motor Activity; Older people; Physical activity; Physical fitness; Population; Quality of life; Regression analysis; Regression models; Rehabilitation; Risk Assessment; Statistical analysis; Studies; Thigh; Walking
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0129098

To investigate the relationship between physical activity and two measures of fall incidence in an elderly population using person-years as well as hours walked as denominators and to compare these two approaches. Prospective cohort study with one-year follow-up of falls using fall calendars. Physical activity was defined as walking duration and recorded at baseline over one week using a thigh-worn uni-axial accelerometer (activPAL; PAL Technologies, Glasgow, Scotland). Average daily physical activity was extracted from these data and categorized in low (0-59 min), medium (60-119 min) and high (120 min and more) activity. The ActiFE Ulm study located in Ulm and adjacent regions in Southern Germany. 1,214 community-dwelling older people (≥65 years, 56.4% men). Negative-binomial regression models were used to calculate fall rates and incidence rate ratios for each activity category each with using (1) person-years and (2) hours walked as denominators stratified by gender, age group, fall history, and walking speed. All analyses were adjusted either for gender, age, or both. No statistically significant association was seen between falls per person-year and average daily physical activity. However, when looking at falls per 100 hours walked, those who were low active sustained more falls per hours walked. The highest incidence rates of falls were seen in low-active persons with slow walking speed (0.57 (95% confidence interval (95% CI): 0.33 to 0.98) falls per 100 hours walked) or history of falls (0.60 (95% CI: 0.36 to 0.99) falls per 100 hours walked). Falls per hours walked is a relevant and sensitive outcome measure. It complements the concept of incidence per person years, and gives an additional perspective on falls in community-dwelling older people.