Mobility Assessment Tool: Short Form

About

The Mobility Assessment Tool (MAT) is a video-animated tool for assessing self-perception of mobility. Items in the MAT consist of a video and a corresponding measurement item. The videos depict a wooden mannequin performing a wide range of physical activities, and the measurement item consists of a question about the participant’s ability to perform the task, measured on a discrete scale.

The software applications presented here are short forms of the original 81-item instrument described in[1] and [2]. The 10-item instrument is the first short form MAT that was developed. The 12-item instrument includes the 10 items in the 10-item instrument as well as 2 additional items that help to capture a broader range of mobility.

Requirements

The only requirement for the MAT-sf software to run correctly is Java 7 or newer.

Please note: Depending on the speed of your computer, it may take up to a minute between attempting to run the MAT-sf program and the program appearing.

Downloads

Download the version of the test application that is best suited for your computer. Please be sure that Java 7 or newer is installed on your computer.

Publications

  1. Rejeski, W.J., Ip, E., Marsh, A.P., and Barnard, R.T. (2010). Development and Validation of a Video-Animated Tool for Assessing Mobility. J Gerontol A Biol Sci Med Sci, Vol. 65A(6), 664—671.doi:10.1093/gerona/glq055.
  2. Marsh, A.P., Ip, E.I., Barnard, R.T., Wong, Y., and Rejeski, W.J. (2011). Using video animation to assess mobility in older adults. J Gerontol A Biol Sci Med Sci, Vol. 66A(2), 217—227.doi:10.1093/gerona/glq209.
  3. Barnard, R.T., Marsh, A.P., Rejeski, W.J., Pecorella, A., and Ip., E.H. (2013). Design and implementation of the Mobility Assessment Tool: software description. BMC Medical Informatics and Decision Making, 13:73. doi:10.1186/1472-6947-13-73.
  4. Kim, S., Marsh, A.P., Rustowicz, L., Roach, C., Leng, X.I., Kritchevsky, S.B., Rejeski, W.J., and Groban, L. (2016). Self-reported Mobility in Older Patients Predicts Early Postoperative Outcomes after Elective Noncardiac Surgery. Anesthesiology, Vol. 124(4), 815-825.doi:10.1097/ALN.0000000000001011.
  5. Rejeski, W.J., Rushing, J., Guralnik, J.M., Ip, E.H., King, A.C., Manini, T.M., Marsh, A.P., McDermott, M.M., Fielding, R.A., Newman, A.B., Tudor-Locke, C., and Gill, T.M.; LIFE Study Group. (2015). The MAT-sf: identifying risk for major mobility disability. J Gerontol A Biol Sci Med Sci, Vol. 70(5), 641-646. doi:10.1093/gerona/glv003.
  6. Guerra, R.O., Oliveira, B.S., Alvarado, B.E., Curcio, C.L., Rejeski, W.J., Marsh, A.P., Ip, E.H., Barnard, R.T., Guralnik, J.M., and Zunzunegui, M.V. (2015). Validity and applicability of a video-based animated tool to assess mobility in elderly Latin American populations. Geriatr Gerontol Int, Vol. 14(4), 864-873. doi:10.1111/ggi.12180.
  7. Rejeski, W.J., Marsh, A.P., Anton, S., Chen, S.H., Church, T., Gill, T.M., Guralnik, J.M., Glynn, N.W., King, A.C., Rushing, J., and Ip, E.H.; LIFE Research Group. (2013). The MAT-sf: clinical relevance and validity. J Gerontol A Biol Sci Med Sci, Vol. 68(12), 1567-1574. doi:10.1093/gerona/glt068.
  8. Ip, E.H., Rejeski, W.J., Marsh, A.P., Barnard, R.T., and Chen, S.H. (2013). Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology. Qual Life Res, Vol. 22(8), 1907-1915. doi:10.1007/s11136-012-0346-9.