Factors Influencing Social and Community Participation of People with Spinal Cord Injury in Karnataka, India.

Background: Social and community participation are major indicators to assess the adequacy of treatment and rehabilitation in patients with spinal cord injury (SCI). This study examined the relationship between functional independence, level of disability, and social and community participation among people with SCI in India. Materials and Method: In this cross sectional study, 110 persons with SCI, aged 18 years and above participated in a community setting, in Karnataka, India. Spinal Cord Independence Measure Version III-self-reporting (SCIM III-SR), Craig Handicap Assessment and Reporting Technique (CHART), and WHO Disability Assessment Schedule 2.0 (WHODAS) were the clinical outcome measures. Spearman's correlation and stepwise multiple linear regression were done to determine association and identify the factors determining the community participation of people with SCI. Results: CHART physical independence had a positive correlation with SCIM self-care (R = 0.446) and SCIM mobility (r = 0.434). CHART cognitive independence (R = -0.38) and CHART mobility (R = -0.396) had a weak correlation with WHODAS. SCIM self-care and SCIM mobility (R2 = 0.34) were determinants of CHART cognitive independence. SCIM respiratory and sphincter management and SCIM self-care (R2 = 0.327) were determinants of CHART mobility. Conclusion: Self-care and mobility of people with SCI determine their ability to successfully reintegrate into the community, warranting a comprehensive community rehabilitation program.

Reliability, agreement, and validity of digital weighing scale with MatScan in limb load measurement.

Limb loading measurements serve as an objective evaluation of asymmetrical weight bearing in the lower limb. Digital weighing scales (DWSs) could be used in clinical settings for measurement of static limb loading. However, ambiguity exists whether limb loading measurements of DWSs are comparable with a standard tool such as MatScan. A cross-sectional study composed of 33 nondisabled participants was conducted to investigate the reliability, agreement, and validity of DWSs with MatScan in static standing. Amounts of weight distribution and plantar pressure on the individual lower limb were measured using two DWSs (A, B) and MatScan during eyes open (EO) and eyes closed (EC) conditions. The results showed that intra- and interrater reliability (3, 1) were excellent (0.94-0.97) within and between DWS A and B. Bland-Altman plot revealed good agreement between DWS and MatScan in EO and EC conditions. The area under the receiver operating characteristic curve was significant and identified as 0.68 (p = 0.01). The measurements obtained with DWSs are valid and in agreement with MatScan measurements. Hence, DWSs could be used interchangeably with MatScan and could provide clinicians an objective measurement of limb loading suitable for clinical settings.

Evaluation of limb load asymmetry using two new mathematical models.

Quantitative measurement of limb loading is important in orthopedic and neurological rehabilitation. In current practice, mathematical models such as Symmetry index (SI), Symmetry ratio (SR), and Symmetry angle (SA) are used to quantify limb loading asymmetry. Literatures have identified certain limitations with the above mathematical models. Hence this study presents two new mathematical models Modified symmetry index (MSI) and Limb loading error (LLE) that would address these limitations. Furthermore, the current mathematical models were compared against the new model with the goal of achieving a better model. This study uses hypothetical data to simulate an algorithmic preliminary computational measure to perform with all numerical possibilities of even and uneven limb loading that can occur in human legs. Descriptive statistics are used to interpret the limb loading patterns: symmetry, asymmetry and maximum asymmetry. The five mathematical models were similar in analyzing symmetry between limbs. However, for asymmetry and maximum asymmetry data, the SA and SR values do not give any meaningful interpretation, and SI gives an inflated value. The MSI and LLE are direct, easy to interpret and identify the loading patterns with the side of asymmetry. The new models are notable as they quantify the amount and side of asymmetry under different loading patterns.