Purpose: In this study, it is aimed to determine personal wellbeing and social participation levels across different physical disability types and levels of mobility. Methods: A sample of 85 individuals with physical disabilities, excluding those with mental disabilities were included. Sociodemographics, mobility of the participants, cause, duration of disability were recorded. Personal Wellbeing Index-Adult (PWI-A) scale was used for the assessment of wellbeing and Keele Assessment of Participation (KAP) for social participation. Results: Female, single, unemployed subjects and individuals with neurologic disability showed significantly higher median KAP-scores(p = 0.009, p = 0.050, p<0.001, p = 0.050, respectively).The median KAP-score of the independently mobile group was significantly lower compared to the other two groups (p = 0.001). The factors affecting KAP were determined as employment, mobility level and personal wellbeing (p = 0.002, p = 0.024, p = 0.050, respectively). Conclusion: Mobility level, employment and personal wellbeing are the determinants of social participation in people with disabilities. Neurological disability, female gender, being single, unemployment and mobility limitations are factors that reduce social participation.

Background: The novel coronavirus infection (SARS-CoV-2) caused disruption of the treatment and follow-up evaluations of children with cerebral palsy. Aim: The change in mobility, pain, functional status, and spasticity was investigated who were followed in a pediatric rehabilitation unit after the lockdown. Methods: One hundred ten children were evaluated. Pain, severity of spasticity, botulinum toxin administration dates, and continuity of home exercises were recorded. The functional status was evaluated with the Functional Independence Measure for Children (WeeFIM). Results: The WeeFIM self-care and mobility subscale scores and total scores were significantly worse. Only 5 of the participants had pain in the previous evaluations; in the last evaluation, 29 had pain complaints. The pain and spasticity severity of the participants whose botulinum toxin administration was delayed were significantly increased. Conclusions: The children with cerebral palsy should be followed with telemedicine at short intervals, and when necessary, in the hospital.

This study aimed to evaluate different anthropometric and body composition measurements, including weight, body mass index (BMI), body fat percentage (fat%), skeletal muscle index (SMI), a body shape index (ABSI), waist circumference (WC), and hip circumference (HC), in relation to bone mineral density. This is a cross-sectional study of a total of 482 patients who consulted the geriatric outpatient clinic between 2018 and 2019. Patients were evaluated with dual-energy X-ray absorptiometry. Anthropometric measurements (HC, WC, weight, BMI, and ABSI), as well as body composition analysis (fat% and SMI) by bioimpedance analysis system, were performed. The patients were evaluated with the rapid Assessment of Physical Activity Index in terms of aerobic exercise habits. There was a significant correlation between lumbar spine (LS) T-score and SMI (r=0.36, p=0.000) and between LS T-score and weight (r=0.21, p=0.000), BMI (r=0.10, p=0.045) and WC (r=0.15, p=0.001). There was a statistically significant correlation between femur neck (FN) T-score and fat% (r=0.15, p=0.001), SMI (r=0.15, p=0.010), weight (r=0.22, p=0.000), BMI (r=0.20, p=0.000), WC (r=0.14, p=0.003), and HC (r=0.17, p=0.001). There was no statistically significant correlation between physical activity and LS T-score (n=353, r=0.08, p=0.16) and FN T-score (n=360, r=0.03, p=0.53). In multiple regression analysis, SMI contributes most in predicting FN and LS T-scores. Anthropometric measurements should be carefully selected in the geriatric population. Among the measurements, the strongest relationship was found between LS T-score and SMI.

In this study, the frequency of chronic fatigue syndrome (CFS), sleep disturbances, and quality of life levels in mothers of children with cerebral palsy (CP) was compared in relation to the functional status of the child. The caregivers were evaluated with the sociodemographic data form, Chalder fatigue scale (ChFS), Fatigue Severity Scale (FSS), Pittsburgh Sleep Quality Index, and Short Form-12, respectively. In addition, the functional status of the child with CP was evaluated with the gross motor function classification system, manual ability classification system (MACS), communication function classification system, and eating and drinking ability classification system. According to CDC-1994 criteria, 80.4% of the participating mothers have CFS (n=45). While the mean ChFS and FSS scores of housewives were found to be significantly higher than those of full-time workers (p=0.002; p=0.003, respectively), the mean SF-12 MCS was found to be significantly lower (p=0.007). The rate of housewives was found to be significantly higher in those diagnosed with CFS (p<0.001). The relationship between independent variables and dependent variables data sets as a result of canonical correlation analysis was obtained as 0.815. While the variable with the highest effect among the independent variables is the MACS variable, the variable with the highest percentage of explanation for the dependent variables is ChFS. The frequency of CFS is very high in mothers of children with CP, and the most important factors in the presence and severity of CFS are the mother’s occupational status and the child’s manual skills.