scholarly journals Is There a Sex Difference in Accelerometer Counts During Walking in Older Adults?

2014 ◽  
Vol 11 (3) ◽  
pp. 626-637 ◽  
Author(s):  
Dane R. Van Domelen ◽  
Paolo Caserotti ◽  
Robert J. Brychta ◽  
Tamara B. Harris ◽  
Kushang V. Patel ◽  
...  

Background:Accelerometers have emerged as a useful tool for measuring free-living physical activity in epidemiological studies. Validity of activity estimates depends on the assumption that measurements are equivalent for males and females while performing activities of the same intensity. The primary purpose of this study was to compare accelerometer count values in males and females undergoing a standardized 6-minute walk test.Methods:The study population was older adults (78.6 ± 4.1 years) from the AGES-Reykjavik Study (N = 319). Participants performed a 6-minute walk test at a self-selected fast pace while wearing an ActiGraph GT3X at the hip. Vertical axis counts·s−1 was the primary outcome. Covariates included walking speed, height, weight, BMI, waist circumference, femur length, and step length.Results:On average, males walked 7.2% faster than females (1.31 vs. 1.22 m·s−1, P < .001) and had 32.3% greater vertical axis counts·s−1 (54.6 vs. 39.4 counts·s−1, P < .001). Accounting for walking speed reduced the sex difference to 19.2% and accounting for step length further reduced the difference to 13.4% (P < .001).Conclusion:Vertical axis counts·s−1 were disproportionally greater in males even after adjustment for walking speed. This difference could confound free-living activity estimates.

2008 ◽  
Vol 17 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Rebecca S. Boxer ◽  
Zhu Wang ◽  
Stephen J. Walsh ◽  
David Hager ◽  
Anne M. Kenny

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0247574
Author(s):  
Kyle J. F. Daines ◽  
Natalie Baddour ◽  
Helena Burger ◽  
Andrej Bavec ◽  
Edward D. Lemaire

Fall-risk classification is a challenging but necessary task to enable the recommendation of preventative programs for individuals identified at risk for falling. Existing research has primarily focused on older adults, with no predictive fall-risk models for lower limb amputees, despite their greater likelihood of fall-risk than older adults. In this study, 89 amputees with varying degrees of lower limb amputation were asked if they had fallen in the past 6 months. Those who reported at least one fall were considered a fall risk. Each participant performed a 6 minute walk test (6MWT) with an Android smartphone placed in a holder located on the back of the pelvis. A fall-risk classification method was developed using data from sensors within the smartphone. The Ottawa Hospital Rehabilitation Center Walk Test app captured accelerometer and gyroscope data during the 6MWT. From this data, foot strikes were identified, and 248 features were extracted from the collection of steps. Steps were segmented into turn and straight walking, and four different data sets were created: turn steps, straightaway steps, straightaway and turn steps, and all steps. From these, three feature selection techniques (correlation-based feature selection, relief F, and extra trees classifier ensemble) were used to eliminate redundant or ineffective features. Each feature subset was tested with a random forest classifier and optimized for the best number of trees. The best model used turn data, with three features selected by Correlation-based feature selection (CFS), and used 500 trees in a random forest classifier. The resulting metrics were 81.3% accuracy, 57.2% sensitivity, 94.9% specificity, a Matthews correlation coefficient of 0.587, and an F1 score of 0.83. Since the outcomes are comparable to metrics achieved by existing clinical tests, the classifier may be viable for use in clinical practice.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 858-858
Author(s):  
Dylan Serpas ◽  
Laura Zettel-Watson ◽  
Barbara Cherry

Abstract Fibromyalgia is a chronic pain condition that is frequently accompanied by comorbid conditions, including depression. Depression is associated with reduced physical functioning and health disproportionately affecting middle-aged and older adults with fibromyalgia. This study examined depressive symptoms as a mechanism through which FM status is associated with BMI and physical performance among adults in mid-to-late-life. Participants included 250 community-dwelling middle-aged and older adults (82% female) with (59%) or without (41%) fibromyalgia (M age = 64.44, SD = 9.16). Depressive symptoms were measured using the Beck Depression Inventory-II, BMI was objectively assessed, and physical performance was measured using the Fullerton Advanced Balance scale, 6-Minute Walk Test, 30-Second Chair Stand, and 8-Foot Up and Go Test. Physical performance measure analyses were adjusted for age. Asymptotic mediation analyses revealed that fibromyalgia status was indirectly associated with higher BMI (95% CI [.18, 16.74]), and poorer performance in the Fullerton Advanced Balance (CI [-2.93, -1.24]), 6-Minute Walk Test (CI [-73.75, -35.35]), 30-Second Chair Stand (CI [-2.45, -1.16]), and 8-Foot Up and Go test (CI [.35, .92]) via depressive symptoms. Participants with fibromyalgia reported greater depressive symptoms which was subsequently associated with greater BMI and reduced physical performance. Findings support depressive symptoms as one factor through which fibromyalgia status is associated with higher obesity risk and reduced physical function in middle-aged and older adults with fibromyalgia. This study supports fibromyalgia status as a critical consideration when evaluating the health and disability risk of aging adults.


2015 ◽  
Vol 27 (11) ◽  
pp. 3571-3578 ◽  
Author(s):  
Vicent Benavent-Caballer ◽  
Juan Francisco Lisón ◽  
Pedro Rosado-Calatayud ◽  
Juan José Amer-Cuenca ◽  
Eva Segura-Orti

2018 ◽  
Vol 20 (5) ◽  
pp. 199-209 ◽  
Author(s):  
Carmela Leone ◽  
Alon Kalron ◽  
Tori Smedal ◽  
Britt Normann ◽  
Inez Wens ◽  
...  

Abstract Background: Physical rehabilitation can improve walking capacity in persons with multiple sclerosis (MS). However, changes in spatiotemporal gait parameters after rehabilitation are not frequently evaluated, and it is unknown to what extent potential effects depend on baseline disability level. The objective was to investigate the effectiveness of rehabilitation programs on gait parameters at usual and fastest speeds in persons with MS categorized according to walking speed. Methods: This nonrandomized multinational study in “real-world” settings evaluated participants before and after conventional rehabilitation. Outcome measurements included spatiotemporal gait parameters assessed by an electronic walkway (at usual and fastest speeds), walking capacity tests (Timed 25-Foot Walk test, 2-Minute Walk Test, 6-Minute Walk Test), and the patient-reported 12-item Multiple Sclerosis Walking Scale. Patients were allocated into three subgroups based on walking speed (&lt;0.82 m/s and &gt;1.14 m/s) and MS center. Results were calculated for the total group and subgroups. Results: Forty-two persons with MS (26 women; mean ± SD age, 44.6 ± 11.0 years; mean ± SD Expanded Disability Status Scale score, 3.5 ± 1.5) receiving rehabilitation treatment were enrolled. After rehabilitation treatment, the group demonstrated a significant decrease in double support time and an increase in stride length and step length (left leg) at usual and fastest speeds. Velocity and step length (right leg) increased only at usual speed. Subgroup analysis revealed greatest and clinically meaningful improvements in more disabled persons with MS. Conclusions: Physical rehabilitation induced changes in spatiotemporal gait parameters in persons with MS. The magnitude of improvement was greater in participants with more walking impairment.


Physiotherapy ◽  
2012 ◽  
Vol 98 (4) ◽  
pp. 325-329 ◽  
Author(s):  
Garyfallia K. Pepera ◽  
Gavin R. Sandercock ◽  
Rebecca Sloan ◽  
John J.F. Cleland ◽  
Lee Ingle ◽  
...  

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