Search Results

You are looking at 1 - 2 of 2 items for

  • Author: Harshvardhan Singh x
  • Refine by Access: All Content x
Clear All Modify Search
Restricted access

Sex-Specific Associations Between Bone-Loading Score and Adiposity Markers in Middle-Aged and Older Adults

Harshvardhan Singh, Bethany A. Moore, Roshita Rathore, Michael G. Bemben, and Debra A. Bemben

The authors examined sex-specific relationships between fat mass index (FMI), android/gynoid (A/G) fat ratio, relative skeletal muscle mass index, and Bone-Specific Physical Activity Questionnaire derived bone-loading scores (BLSs) in middle-aged and older adults (men, n = 27; women, n = 33; age = 55–75 years). The FMI, A/G fat ratio, and relative skeletal muscle mass index were estimated by dual-energy X-ray absorptiometry. The Bone-Specific Physical Activity Questionnaire was used to assess: (a) BLSpast (age 1 until 12 months before the study visit), (b) BLScurrent (last 12 months), and (c) BLStotal (average of [a] and [b]) scores. Separate multiple linear regression analysis of (a) age, FMI, and relative skeletal muscle mass index and (b) age, height, and A/G fat ratio versus BLS revealed that FMI and A/G fat ratio were negatively associated with BLSpast and BLStotal (p < .05) in women only. Adiposity and, specifically, central adiposity is negatively related to bone-loading physical activity in middle-aged and older women.

Restricted access

Clinicians’ Attitudes, Perspectives, and Clinical Practices on Gait Retraining After Anterior Cruciate Ligament Reconstruction

Kyle Southall, Laura Vogtle, Harshvardhan Singh, Matthew P. Ithurburn, C. Scott Bickel, and Christopher P. Hurt

Introduction: It has been shown that 45%–85% of patients with anterior cruciate ligament reconstruction (ACLR) will have early-onset arthritis within 10–12 years following surgery. Over the past two decades, the amount of literature regarding ACLR, gait maladaptations after ACLR and their potential link to early-onset arthritis, and rehabilitation techniques has grown exponentially; however, long-term patient outcomes remain modest. Methods: To evaluate current clinicians’ attitudes, perspectives, and clinical practice approach for rehabilitation of patients following ACLR, a survey questionnaire was designed using the Delphi technique. Results: Of the 263 respondents, 84.4% (n = 226) reported that they believed gait training to be “Very” or “Extremely Important.” However, only 35.7% (n = 94) reported objectively measuring gait during ACLR rehabilitation. Of the total respondents, only 6.8% (n = 18) assessed gait during rehabilitation using two-dimensional or three-dimensional motion capture technologies. Discussion: Our results suggest that while gait evaluation was perceived as important, most respondents did not objectively measure gait metrics as a clinical outcome during ACLR rehabilitation. These findings provide a prospective rehabilitation target to potentially mitigate a known risk factor of early-onset arthritis (gait maladaptations) in individuals following ACLR.