Physical performance is mainly assessed in terms of gait speed, chair rise capacity, and balance skills, and assessments are often carried out on the lower limbs. Such physical performance is largely influenced by the strength of the quadriceps and hamstrings muscles. Flexibility of the hamstrings is important because quadriceps muscle activity influences the hip flexion angle. Therefore, hamstring flexibility is essential to improve physical performance. In this study, Myofascial Release (MFR) was applied to the hamstrings to evaluate its effects. MFR on the hamstrings was performed on 17 young adults. Physical function and physical performance were measured before, immediately after, and 5 days after the MFR intervention: finger floor distance (FFD), range of motion (ROM) of the straight leg raising test (SLR), standing long jump (SLJ), squat jump (SJ), functional reach test (FRT), comfortable walking speeds (C-walking speed), and maximum walking speeds (M-walking speed). The results of the analysis show a significant increase in FFD (−2.6 ± 8.9 vs. 0.4 ± 9.4 vs. 2.4 ± 8.9, p < 0.01), SLJ (185.6 ± 44.5 vs. 185.0 ± 41.8 vs. 196.6 ± 40.1, p < 0.01), and M-walking speed (2.9 ± 0.6 vs. 3.0 ± 0.6 vs. 3.3 ± 0.6, p < 0.01). This study has shown that MFR for hamstrings not only improves flexibility but also increases M-walking speed and physical performance of the SLJ. As MFR is safe and does not involve joint movement, it may be useful for maintaining and improving performance and flexibility during inactivity and for stretching before exercise.

Previous studies have frequently reported that those with a driver’s license have better physical and cognitive functions than those without. However, there are many people in the world who do not need or who cannot have a driver’s license. We hypothesized that if the non-driver’s license group had the same or better physical and cognitive functioning as the driver’s license group, they could lead healthy lives without the risk of functional decline or loss of functioning due to surrendering their licenses or giving up driving. The subjects were 47 community-dwelling older adults. We measured their physical function and cognitive function and performed psychological assessment via the following tests: grip strength, Timed Up and Go test, walking speed, Five Times Sit to Stand test, Functional Reach test, Two-Step Test, Mini-Mental State Examination, Trail Making Test, Modified Falls Efficacy Scale, Geriatric Depression Scale, and University of California Los Angeles Loneliness Scale. In previous studies, it has been said that having a driver’s license provides good physical, cognitive, and psychological functions. However, in this study, loneliness and executive function were strongly influenced by age and sex, and no direct relationship to a driver’s license was suggested. Rather, non-driver license holders may be relieved because there is no risk of accidents due to driving, and there is no possibility of a suddenly decline in physical or cognitive function due to revocation of a driver’s license.

Objective: To investigate various factors related to cognitive decline and analyze combination of factors and priority. Methods and Results: We measured the demographic data, physical, cognitive, and executive functions of 219 older adults who were divided into 2 groups (a no cognitive decline group and a cognitive decline group). We performed classification and regression tree (CART) analysis using the cognitive decline as dependent variables. Conclusions: By CART, it was revealed that the combination of walking speed less than 1.01 m/s and Trail Making Test part A 107.47 seconds or more is a combination of strongest factors for cognitive decline. The classification accuracy was 92.2% by CART.

Motor imagery is often used as a training method to improve physical performance. Previous studies have often reported that reduced motor imagery is more likely to occur in older adults and stroke patients. However, it has also been reported that it is difficult to imagine exercises that cannot be performed. Therefore, we hypothesized that this may also have occurred in young people who were physically able to exercise but who were restricted by COVID-19 lockdowns, however, we could find no studies that investigated the impact of restricting outings. In this study, 83 healthy young people were measured for physical performance (maximum walking speed, grasp strength, Timed Up and Go test, imagined Timed Up and Go test, functional reach test, and five chair stand test). It was found that, while restricting outings did not influence physical performance in the subjects, it did influence motor imagery. Therefore, it should be borne in mind that training with motor imagery may not generate adequate actual motor imagery when restrictions are imposed on activities.

Objectives: The purpose of this study was to investigate the relationship of any error (delta; ∆) between the image of one’s own walking rhythm and the actual walking rhythm and physical activity, as a new motor imagery assessment. Methods: The subjects were classified into two groups: a high activity group (HA-Group) having high physical activity with less than four hours of sitting time per day, and a low activity group (LA-Group) having low physical activity with more than four hours of daily sitting time. Visual rhythm, auditory rhythm, mental comfortable walking rhythm, and mental maximum walking rhythm were used to assess new motor imagery. Their beats per minute were measured and any error (delta; ∆) from the actual rhythm was calculated: ∆ visual rhythm, ∆ auditory rhythm, ∆ mental normal gait rhythm, and ∆ mental maximal gait rhythm. Results: When comparing the two groups, the HA-Group had significantly higher ∆ visual rhythm, lower ∆ auditory rhythm, higher ∆ mental comfortable walking rhythm, and lower ∆ mental maximum walking rhythm ability than the LA-Group. Furthermore, in an ANCOVA with age, ∆visual rhythm, and ∆auditory rhythm as adjustment factors, the HA-Group had significantly lower ∆mental maximum walking rhythm than the LA-Group. Conclusions: These results showed that the rhythmic assessment of the imagery of maximum walking was associated with stationery time. It is possible that the more inaccurate the imagery of maximum walking, the longer the sitting or lying time.