The aims of this study were to cross-culturally translate and equivalence of the Gross Motor Function Measure 88 (GMFM-88) in to Persian and to evaluate its reliability in 50 children with Cerebral Palsy (CP). Our investigation was a none-experimental and methodological study which developed a Persian translation of the GMFM-88 based on International Quality of Life Assessment (IQLA) guidelines. Inter-rater reliability was performed by comparison of scores recorded by two expert physiotherapists in a blind pattern while inter-rater reliability was assessed by comparison of scores recorded by an expert physiotherapist in two continuous weeks. Intra-class Correlation Coefficient (ICC) was used to evaluate both reliabilities. Additionally internal consistency was calculated using Cronbach's alpha coefficient. The ICC was 0.99 for both inter-rater reliability and intra-rater reliability with 95% Confidence Interval (CI) = 0.99-1. Cronbach's alpha coefficients for all dimensions of the GMFM-88 were ranged 0.78-0.94, which showed an acceptable internal consistency. The Persian version of the GMFM-88 which indicated high internal consistency is a reliable instrument to quantify gross motor function in children with CP and to follow efficacy of various rehabilitation and medical treatments in these patients.

Background and Objectives: The prolonged use of digital screens can cause a set of visual and ocular symptoms known as Computer Vision Syndrome (CVS), which is a common health issue among computer users. This study aimed to estimate the prevalence of CVS among university employees and graduate students in their occupational environment in Iran. Methods: A cross-sectional study was carried out in the Rehabilitation School of Iran University of Medical Science, Tehran, Iran. The study population (n=154) included all university employees and graduate students who spend at least one hour of computer work per day in their workplace. The participants completed a validated self-administered questionnaire. A descriptive analysis was performed and the prevalence of CVS was calculated. The correlations between variables were assessed using the Pearson and Spearman correlation coefficients and non-parametrical tests were used to evaluate the association between CVS and predictor variables, as well as differences between subgroups. Results: The Mean±SD age of the sample was 37.7±11.0 years, 64.3% were women, 57.8% were employee, 56.5% have higher education and the Mean±SD of computer usage time was 5.08±2.2. The total prevalence of CVS was 48.7% and the most frequent symptoms were eye redness (62.3%) and burning (56.5%). A significant positive correlation was found between the number of hours working with a computer and the total score of CVS (Pearson correlation coefficient = 0.248, P=0.02). Moreover, the total score of CVS significantly differed between participants who use six or more hours the computer and those who spend less than six hours (Mann-Whitney U test: P=0.007). Conclusion: This is the first investigation using a validated questionnaire to estimate the prevalence of CVS among computer users in the occupational environment, in Iran. The results show a relatively high prevalence of CVS these populations. The most affected are those who use the computer for a longer duration.

Background and Objectives: Cognitive and psychological impairments are among the disabling consequences of chronic stroke. Despite the high prevalence of these impairments in patients with chronic stroke and the significant impact of psychological factors on cognitive factors in other neurological diseases, no study was found to investigate the relationship between psychological factors and cognitive factors in chronic stroke patients with chronic fatigue. Therefore, this study aimed to investigate the relationship between psychological factors and cognitive functions in chronic stroke patients with chronic fatigue Methods: A total of 85 chronic stroke patients with chronic fatigue visited the Rehabilitation Centers of Tehran, Iran, were selected through the simple non-probability sampling method and enrolled in this correlational study. The Fatigue Severity Scale, Beck Depression Inventory, and Beck Anxiety Inventory were used to measure the levels of the fatigue, depression, and anxiety of patients with strokes, respectively. Besides, the cognitive functions of the participants were assessed using the Mini-Mental State Examination, the Montreal Cognitive Assessment, and the Pain Visual Analog Scale. Results: Based on the regression models, the Mini-Mental State Examination and the Montreal Cognitive Assessment explained up to 24.2% and 39.6% of the variance of cognitive functions, respectively. In all step-by-step models, the variables of anxiety, education level, and depression were the strongest predictors of cognitive functions. Conclusion: According to the clinical findings, psychological impairments, such as anxiety can adversely affect cognitive factors in chronic stroke patients with chronic fatigue. Therefore, therapeutic interventions focused on psychological factors may considerably improve the cognitive skills of these patients.