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A. Stefanie Mikolaizak, Jochen Klenk, Dietrich Rothenbacher, Michael D. Denkinger, Kilian Rapp and for the ActiFE Study Group

-of-home and daily walking duration are estimated. Methods Study Population This study draws on a cross-sectional sample from a larger longitudinal study. The longitudinal ActiFE Ulm (Activity and Function in the Elderly in Ulm) study is a population-based cohort study in people aged between 65 and 90 years

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Dietrich Rothenbacher, Dhayana Dallmeier, Michael D. Denkinger, Bernhard O. Boehm, Wolfgang Koenig, Jochen Klenk and ActiFE Study Group

processing algorithm detects upright posture as well as walking patterns, and it classified the activity into three categories: (a) lying or sitting, (b) standing, and (c) walking (including low-to-high intensity walking). The average daily walking duration (in minutes per day) was calculated by weighting

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Florian Herbolsheimer, Stephanie Mosler, Richard Peter and the ActiFE Ulm Study Group

 < .001). Measures Physical activity A uni-axial accelerometer (activPAL, PAL Technologies Ltd., Glasgow, UK) measured daily walking duration. Technical details for the activPAL ™ are provided elsewhere ( Ryan, Grant, Tigbe, & Granat, 2006 ). In short, this model of single-axis accelerometer is based on

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Devajyoti Deka

of life at the current time t , ΔH is the change in stated health between pre- and postretirement, ΔPA is the stated change in physical activity (i.e., average daily walking duration) between pre- and postretirement, ΔW is the stated weight change between pre- and postretirement, and Z 1 … m , Z