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Purpose: To validate a novel mobility test (MOST, MObility Standardized Test) and performance outcomes in real (RL) and virtual (VR) environments to be used for interventional clinical studies in order to characterize vision impairment in rod-cone dystrophies, also known as retinitis pigmentosa (RP)., Design: Prospective, interventional, noninvasive, reliability and validity analysis., Methods: We designed MOST to be used in both VR and RL and conducted 3 experimental studies with 89 participants to (1) validate the difficulty of the mobility courses (15 controls), (2) determine the optimal number of light levels and training trials (14 participants with RP), and (3) validate the reproducibility (test-retest), reliability (VR/RL), sensitivity, and construct/content validity of the test (30 participants with RP and 30 controls). A comprehensive ophthalmologic examination was performed in all subjects. Outcomes of interest included MOST performance score, visual acuity, contrast sensitivity, dark adaptation thresholds, visual field parameters, and correlation between the performance score and visual function., Results: The mobility courses exhibited statistically similar difficulty, and 5 trials are sufficient to control for the learning effect. MOST is highly reproducible (test-retest correlations >0.98) and reliable (correlations VR/RL = 0.98). MOST achieved a discrimination between participants with RP and controls (accuracy >95%) and between early and late stages of the disease (82.3% accuracy). The performance score is correlated with visual function parameter (0.57-0.94)., Conclusion: MOST is a validated mobility test, with the controlled learning effect, excellent reproducibility, and high agreement between RL and VR conditions, as well as sensitivity and specificity to measure disease progression and therapeutic benefit in rod-cone dystrophies., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Purpose: To determine the relationship between visual function and quality of life, education, mental health, and employment among young adults with retinitis pigmentosa (RP)., Design: Cross-sectional study., Methods: Inclusion of 148 patients (mean age 38.2 ± 7.1 years) diagnosed with RP, living in France. Quality of life was assessed using the National Eye Institute Visual Function Questionnaire (VFQ-25), mental state with the Hospital and Anxiety and Depression Scale (HADS), and employment with a specifically designed questionnaire., Results: Limited visual impairment was noted in 22.3%, low vision in 29.7%, and legal blindness in 48.0%. There was a correlation between quality-of-life scores and residual visual field (P < .0001). Mental health scores were suggestive of anxiety in 36.5% and depression in 15.5%. The rates did not increase with disability level (P = .738, P = .134). The percentage of subjects with higher education did not significantly decrease with disability level (P = .113). The employment rate did not significantly decrease with disability level (P = .276). It was lower in subjects reporting depression (P = .0414). Self-rated impact of RP on employment increased with disability level (P = .02642)., Conclusions: Our results differ from previous results showing lower education rates and employment rates in young adults with RP. Further research is warranted focusing on the impact of mental health, education, workplace conditions, and employment aids on employment rate vs age- and education-matched normally sighted controls to guide visual disability strategies in RP., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The risk of hip fracture is higher among persons living in long-term care than among persons living at home. The aim of this study was to explain the difference in risk between the two types of residence by identifying differences in the respective risk factor profiles. Information from the Mediterranean osteoporosis (MEDOS) study questionnaire was used for statistical analyses of 107 non-demented female cases and 225 neighbourhood controls matched for age, sex, and residential area. The statistical analyses incorporated adjustments of the risk estimates by unconditional multivariate logistic regression. Urban background, activity, and morbidity were found to differ between the two types of residence. The detected differences in risk factor profiles were, however, not considered to be sufficient as an explanation for the difference in risk of fracture.