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Background Most standardized balance tests cannot detect subtle balance deterioration in middle age, or identify those at higher risk for accelerated balance decline due to a ceiling effect. Aims To determine whether the Brief Balance Evaluation Systems Test (Brief-BESTest), partially instrumented with accelerometry, can detect balance deterioration in middle age and identify individuals with poor balance. Methods We studied young (25.3 ± 2.3 years), early middle-aged (47.7 ± 2.6 years), and late middle-aged adults (60.6 ± 3.6 years), with 25 participants in each age group. Subjects wore an accelerometer on their lower back while performing the Brief-BESTest. Balance measurements included the Brief-BESTest total and sub-measures scores, and postural sway during the Brief-BESTest standing tasks, calculated by the 95% confidence ellipse trajectory of the center of mass (COM-95% ellipse). Results Compared to the two middle-aged groups, young adults had better total Brief-BESTest and sub-measures scores, apart from the Stability-in-Gait sub-measure, and less postural sway during the Sensory-Orientation sub-measure. The total Brief-BESTest scores as well as the Biomechanical-Constraints and Sensory-Orientation sub-measures differed also between early and late middle-aged adults. Both the Brief-BESTest total scores and the Sensory-Orientation postural sway values demonstrated increased variation with age, allowing to identify subjects with poor balance. A moderate negative correlation (r = -0.43) was found between the Brief-BESTest total score and the COM-95% ellipse size, and a moderate agreement (k = 0.56) in identifying subjects with poor performance in the early but not the late middle age group. Conclusions The Brief-BESTest test combined with accelerometry could be a suitable screening tool to identify middle-aged people with early balance deterioration and potentially identify those with poor balance and a possible higher risk for falls. Clinicians and policymakers can use our findings to implement balance assessment programs in patients < 65 years, leading to preventive strategies before the risk increases.
Background Most standardized balance tests cannot detect subtle balance deterioration in middle age, or identify those at higher risk for accelerated balance decline due to a ceiling effect. Aims To determine whether the Brief Balance Evaluation Systems Test (Brief-BESTest), partially instrumented with accelerometry, can detect balance deterioration in middle age and identify individuals with poor balance. Methods We studied young (25.3 ± 2.3 years), early middle-aged (47.7 ± 2.6 years), and late middle-aged adults (60.6 ± 3.6 years), with 25 participants in each age group. Subjects wore an accelerometer on their lower back while performing the Brief-BESTest. Balance measurements included the Brief-BESTest total and sub-measures scores, and postural sway during the Brief-BESTest standing tasks, calculated by the 95% confidence ellipse trajectory of the center of mass (COM-95% ellipse). Results Compared to the two middle-aged groups, young adults had better total Brief-BESTest and sub-measures scores, apart from the Stability-in-Gait sub-measure, and less postural sway during the Sensory-Orientation sub-measure. The total Brief-BESTest scores as well as the Biomechanical-Constraints and Sensory-Orientation sub-measures differed also between early and late middle-aged adults. Both the Brief-BESTest total scores and the Sensory-Orientation postural sway values demonstrated increased variation with age, allowing to identify subjects with poor balance. A moderate negative correlation (r = -0.43) was found between the Brief-BESTest total score and the COM-95% ellipse size, and a moderate agreement (k = 0.56) in identifying subjects with poor performance in the early but not the late middle age group. Conclusions The Brief-BESTest test combined with accelerometry could be a suitable screening tool to identify middle-aged people with early balance deterioration and potentially identify those with poor balance and a possible higher risk for falls. Clinicians and policymakers can use our findings to implement balance assessment programs in patients < 65 years, leading to preventive strategies before the risk increases.
Background and Objectives Mobility can decline in middle age and growing evidence highlights the importance of assessing mobility at this stage of life. Smartphone-based accelerometry during sit-to-stand has been shown to identify mobility impairments, but its utility in detecting subtle mobility deterioration in middle age has not been tested. This study aimed to examine whether smartphone-based accelerometry data measured during sit-to-stand tests performed on a regular chair and a cushioned sofa could be useful for detecting subtle changes in mobility in middle age. Research Design and Methods Twenty-three young (25.0±2.5 years), 25 middle-aged (52.0±5.2 years), and 17 older adults (70.0±4.1 years) performed the 5-times sit-to-stand test on both a standard chair and a sofa. A smartphone attached to the participants' lower back was used to measure lower-limb muscle power, maximal vertical velocity (MVV) during rising, the duration of the total task and the sub-phase of transition from sitting to standing (SiToSt), and repetition variability using the dynamic time warping (DTW) method. Results Middle-aged adults had reduced lower-limb muscle power compared to young adults (5.25 ± 1.08 vs 6.19 ± 1.38W/kg, p=0.034), being more pronounced on the sofa (6.23 ± 1.61 vs 8.08 ± 2.17W/kg, p=0.004). Differences between middle-aged and young adults in terms of MVV (p=0.011) and SiToSt duration (p=0.038) were only detected on the sofa, and the middle-aged adults showed less variability compared to the older adults on the chair (p=0.018). There was no difference in total task duration between the middle-aged group and the young or older adults in either condition. Discussion and Implications Most common tests are limited in their ability to detect early mobility deterioration in midlife due to a ceiling effect. Our results, which show the potential of smartphone-based sit-to-stand assessment in detecting subtle mobility decline in midlife, could serve as a screening tool for this purpose.
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