Paul   R.   Hibbing

Modeling

I mainly deal with models that predict physical behavior and energy expenditure from activity monitor data. The overarching goal is to improve and expand monitor-based assessments, which calls for developing better models (as well as making sure they are easy for other scientists to use). I am very active in this space, sometimes by making simple changes to existing models, and others by innovating a bit more technically.

Links

Hibbing PR , Ellingson LD, Dixon PM, & Welk GJ. (2018) Adapted Sojourn models to estimate activity intensity in youth: A suite of tools. Medicine and Science in Sports and Exercise . 50(4), 846-854. doi: 10.1249/MSS.0000000000001486.

Hibbing PR , LaMunion SR, Kaplan AS, & Crouter SE. (2018) Estimating energy expenditure with ActiGraph GT9X inertial measurement unit. Medicine and Science in Sports and Exercise . 50(5), 1093-1102. doi: 10.1249/MSS.0000000000001532.

Hibbing PR , Bellettiere J, & Carlson JA. (2022) Sedentary Profiles: A New Perspective on Accumulation Patterns in Sedentary Behavior. Medicine and Science in Sports and Exercise . 54(4), 696-706. doi: 10.1249/MSS.0000000000002830.

Addressing   Measurement   Issues

As measurement evolves, new challenges and questions arise. This is especially true when similar procedures emerge that each have nuanced differences. Part of my job is to spot these issues, document their consequences, raise awareness, and ultimately help to find solutions. This is all part of the process when it comes to improving and expanding device-based measurements in health research.

Links

Hibbing P , Kim Y, Saint-Maurice PF, & Welk GJ. (2016) Impact of activity outcome and measurement instrument on estimates of youth compliance with physical activity guidelines: A cross-sectional study. BMC Public Health [internet]. 16(1). doi: 10.1186/s12889-016-2901-8.

Hibbing PR , Bassett DR, Coe DP, LaMunion SR, & Crouter SE. (2020) Youth metabolic equivalents differ depending on operational definitions. Medicine and Science in Sports and Exercise. 52(8), 1846-1853. doi: 10.1249/MSS.0000000000002299.

Hibbing PR , Bassett DR, & Crouter SE. (2020) Modifying accelerometer cut-points affects criterion validity in simulated free-living for adolescents and adults. Research Quarterly for Exercise and Sport. 91(3), 514-524. doi: 10.1080/02701367.2019.1688227.

Analytics

How can we tell if a new measurement technique is effective? In most cases, there are several analyses capable of answering that question, but occasionally there is either no established analysis, or the established analyses are not nuanced enough for the specific issue the new technique is addressing. I work to make sure we have suitable analyses that will allow us to understand our data and reach sound conclusions.

Links

Dixon PM, Saint-Maurice PF, Kim Y, Hibbing P , Bai Y, & Welk GJ. (2018) A primer on the use of equivalence testing for evaluating measurement agreement. Medicine and Science in Sports and Exercise. 50(4), 837-845. doi: 10.1249/MSS.0000000000001481.

Hibbing PR , LaMunion SR, Hilafu H, & Crouter SE. (2020) Evaluating the performance of sensor-based bout detection algorithms: The transition pairing method. Journal for the Measurement of Physical Behaviour . 3(3), 219-227. doi: 10.1123/jmpb.2019-0039.

Hibbing PR , Creasy SA, & Carlson JA. (in Press) Clustered Recognition of Interrupted Bouts (CRIB): A novel method for device-based physical behavior analysis. Journal for the Measurement of Physical Behaviour .