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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
[Measurement of physical activity in older adults. Correlation between the PRISCUS-PAQ and accelerometry]
U S Trampisch1, P Platen, A Moschny
1Lehrstuhl für Sportmedizin und Sporternährung, Ruhr-Universität Bochum.
Zeitschrift Fur Gerontologie Und Geriatrie
|February 3, 2012
Summary
The PRISCUS-PAQ questionnaire shows moderate correlation with accelerometry for measuring physical activity in older adults. This German tool is valuable for telephone-based assessments of elderly physical activity levels.
Area of Science:
- Gerontology
- Physical Activity Measurement
- Health Assessment
Background:
- The PRISCUS-PAQ is a German questionnaire designed for telephone interviews to assess physical activity in older adults.
- It quantifies time spent on domestic, sporting, and sedentary activities over the past week.
- A total score reflects weekly energy expenditure.
Purpose of the Study:
- To evaluate the validity of the PRISCUS-PAQ by comparing its total score with objective accelerometry data.
- To establish the correlation between self-reported physical activity via PRISCUS-PAQ and measured activity.
Main Methods:
- 114 older adults (mean age 76 years, 58% women) participated.
- Spearman correlation coefficient was used to compare PRISCUS-PAQ total scores with accelerometer data over one week.
- Descriptive analysis of PRISCUS-PAQ was performed.
Main Results:
- A correlation coefficient of r = 0.28 (95% CI 0.10–0.44) was found between PRISCUS-PAQ and accelerometry.
- Domestic activities, such as cleaning, significantly contributed to participants' weekly energy consumption.
Conclusions:
- The PRISCUS-PAQ demonstrates a comparable association with accelerometry-measured physical activity to other established international questionnaires.
- It is the first German questionnaire enabling telephone-based measurement of physical activity in older adults.
- The questionnaire effectively captures the contribution of daily life activities to energy expenditure.

