The Influence of Age and Dynamic Balance on Functional Movement Among Active-Duty Police Officers.
| Autor: | Renner MN; Kinesiology Department,University of Wisconsin-Madison, Madison, WI,USA., Gnacinski SL; Health Sciences Department,Drake University, Des Moines, IA,USA., Porter FJ; Health Sciences Department,Drake University, Des Moines, IA,USA., Cornell DJ; Department of Physical Therapy and Kinesiology, University of Massachusetts Lowell, Lowell, MA,USA. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of sport rehabilitation [J Sport Rehabil] 2022 Oct 17; Vol. 32 (3), pp. 242-247. Date of Electronic Publication: 2022 Oct 17 (Print Publication: 2023). |
| DOI: | 10.1123/jsr.2022-0046 |
| Abstrakt: | Context: Although occupational injuries for police officers cannot be prevented, factors that contribute to musculoskeletal injury risk could be better identified to inform preventative interventions. Previous research has supported screening tools such as the functional movement screen (FMS) and Y-Balance Test (YBT) as possible indicators of musculoskeletal injury risk. The purposes of this study are to (1) examine the relationships between age, dynamic balance, and functional movement in police officers and (2) determine how much variance in functional movement is predicted by age and dynamic balance. Methods: This study was conducted in a university research laboratory as part of an ongoing collaboration with a local police department. All data for the current study were collected across 2 separate laboratory visits within a 14-day period. Participants: Thirty-five active-duty police officers (31 men and 4 women; mean [SD], age 33.4 [9.4] y, height 177.4 [8.0] cm, body mass 88.4 [15.3] kg) volunteered to participate in this study. Main Outcome Measures: Functional movement was assessed using the FMS, and FMS overall scores were calculated. Dynamic balance was assessed via the YBT, and lower quarter Y-Balance Test scores (LQYBT%) were calculated. Results: There was a significant negative correlation between FMS overall score and age (r = -.641, P < .001). Correlations between FMS overall score and LQYBT% and between LQYBT% and age were not statistically significant. Age and LQYBT% scores significantly predicted FMS overall scores (F2,32 = 11.162, P < .001), accounting for 41.1% of the variance in FMS overall scores (R2 = .411) with age being the only significant predictor. Conclusions: This study confirms that age and FMS overall score have a strong, negative relationship, suggesting that age may be a contributing factor to movement quality and may lead to an increased risk of musculoskeletal injury within this unique population. |
| Databáze: | MEDLINE |
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