Objectives: Clinical prediction rules are used to discriminate patients with locomotive syndrome and may enable early detection. This study aimed to validate the clinical predictive rules for locomotive syndrome in communitydwelling older adults. Methods: We assessed the clinical prediction rules for locomotive syndrome in a cross-sectional setting. The age, sex, and body mass index of participants were recorded. Five physical function tests–grip strength, single-leg standing time, timed up-and-go test, and preferred and maximum walking speeds–were measured as predic tive factors. Three previously developed clinical prediction models for determining the severity of locomotive syndrome were assessed using a decision tree analysis. To assess validity, the sensitivity, specificity, likelihood ratio, and post-test probability of the clinical prediction rules were calculated using receiver operating charac teristic curve analysis for each model. Results: Overall, 280 older adults were included (240 women; mean age, 74.8 ± 5.2 years), and 232 (82.9%), 68 (24.3%), and 28 (10.0%) participants had locomotive syndrome stages ≥ 1, ≥ 2, and = 3, respectively. The areas under the receiver operating characteristics curves were 0.701, 0.709, and 0.603, in models 1, 2, and 3, respectively. The accuracies of models 1 and 2 were moderate. Conclusions These findings indicate that the models are reliable for community-dwelling older adults.

Objective：We aimed to examine the criterion-related validity of observable items of gait abnormality in patients with knee osteoarthritis (OA) using three-dimensional gait analysis and to assess the test-retest reliability.Methods：The items of gait abnormality were pooled from a prior study and rated using a 3-point scale. Content validity was examined by four experts in knee OA research and accepted when there was an agreement among at least three experts. Correlation between abnormality rating and three-dimensional gait analysis data was examined. The test-retest reliability of the agreement rate was then assessed in the same subject twice.Results：Eleven items were pooled, and all met the criterion of content validity. Eight items showed adequate correlation with the three-dimensional gait analysis data and had test-retest reliability exceeding 0.61.Conclusion：In patients with knee OA, observable items of gait abnormality had good test-retest reliability and criterion-related validity according to the three-dimensional gait analysis data.

Objective：We aimed to examine the criterion-related validity of observable items of gait abnormality in patients with knee osteoarthritis (OA) using three-dimensional gait analysis and to assess the test-retest reliability.Methods：The items of gait abnormality were pooled from a prior study and rated using a 3-point scale. Content validity was examined by four experts in knee OA research and accepted when there was an agreement among at least three experts. Correlation between abnormality rating and three-dimensional gait analysis data was examined. The test-retest reliability of the agreement rate was then assessed in the same subject twice.Results：Eleven items were pooled, and all met the criterion of content validity. Eight items showed adequate correlation with the three-dimensional gait analysis data and had test-retest reliability exceeding 0.61.Conclusion：In patients with knee OA, observable items of gait abnormality had good test-retest reliability and criterion-related validity according to the three-dimensional gait analysis data.