Sentence examples for mobility tests and from inspiring English sources

To estimate clinically relevant changes in functional mobility tests and quantitative gait measures at group and individual level in frail elderly patients.

To determine whether impaired performance in a range of vision, proprioception, neuropsychological, balance, and mobility tests and pain and fatigue are associated with falls in people with multiple sclerosis (PwMS).

However, mobility tests and measurements carried out for this age group to the extent applied in this case are quite time consuming and financially demanding.

Clinical tests such as pain provocation tests [ 19], segmental mobility tests and test of functional muscular coordination [ 5, 17- 21] have been reported in the literature to classify patients with a lumbar instability diagnosis.

In the first visit, participants provided informed consent for the interview and answered a 90-minute long questionnaire (including some mobility tests and two blood-pressure measures) as well as a 10-minute food frequency questionnaire to trace the intake of specific nutrients.

Participants will complete the assessments in the following order: resting blood pressure (BP), heart rate (HR) and electrocardiogram; body composition; musculoskeletal fitness (flexibility, muscular strength and endurance); functional mobility test and cardiorespiratory fitness.

To collect data, we used sociodemographic data, the body mass index (BMI), health status, comorbidities, use of medications, mobility tests (TUG and gait speed) and examinations of the body composition (densitometry with dual-emission X-ray absorptiometry "DXA").

Sociodemographic data and functional mobility tests, Timed Up and Go (TUG) and Iowa Level of Assistance Scale (ILOAS) of 201 patients were analysed before arthroplasty and at the end of acute hospital stay (mean duration of stay: 9.7 days +/− 3.9).

In order to examine the relationship between muscle mass and bone mineral density with mobility tests (gait speed and TUG), we applied the Spearman correlation coefficient and ANCOVA (adjusted for aged and comorbidity).

The correlation between the variables of sarcopenia and bone mineral density with mobility tests (gait speed and TUG) showed a significant relationship only between sarcopenia and TUG (r = 0.277, P = 0.006), i.e., the lower the muscle mass, the greater the value observed in the TUG test performance (Table  2).

Our previous studies have identified the best mobility tests [ 6] and a physical performance test [ 7] for predicting falls in the elderly.