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In older adults, social participation is an important component of rehabilitation and health promotion. Several studies have attempted to describe the definition and concepts of social participation, and there were many outcomes to measure social participation. This overview provides information about representative social participation and related concepts that have been defined in the literature. A standardized definition of social participation has not been developed; commonly, recognition for social participation was proposed as focused on involvement in social activities that provide interaction with others in a society or community. Many instruments assess the various aspects of social participation. Because of operational definition and diversity in social participation, performance in social participation was adopted as an aspect of assessment. Further discussions are needed to clarify the definition of social participation and evaluate the instruments used to assess social participation for it to be useful for rehabilitation and health promotion. In doing so, determining and developing assessment and intervention based on the purpose or perspective of social participation in older adults with and without disabilities is important.
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[Purpose] The purpose of this study was to examine the test-retest reliability and minimal detectable change (MDC) of reach distance and movement angle analyses using Image J. [Participants and Methods] Thirty-eight healthy young males performed the functional reach test (FRT) twice, and their reach movements were recorded using a digital video camera. Image J was used to combine the digital photographs taken at the start position and maximum reach and to measure each movement. The measurements recorded were the movement distance of the third metacarpal bone (reach distance), anterior-superior iliac spine, and trochanter major, and the angles recorded were the acromion-malleolus lateralis, acromion-trochanter major, and trochanter major-malleolus lateralis. The reliability of all the measurements was analyzed using intraclass correlation coefficients (ICCs), Bland-Altman plots, and MDCs. [Results] The ICCs (1, 1) were >0.80 for all the outcomes. The Bland-Altman analysis revealed no systematic bias in any outcome. The MDC of reach distance was 18.3â mm. [Conclusion] Measurement using Image J for reach distance and movement angles in the FRT showed acceptable high test-retest reliability. Measurement of the FRT and the MDC calculated in this study could be used as a reference for further research.
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In patients with type 2 diabetes, it is recommended that exercise therapy is performed using heart rate as an index of exercise intensity. This study was designed to clinically evaluate whether continuous exercise therapy with a portable pulsimeter for self-monitoring of the pulse rate influences glycemic control in patients with type 2 diabetes. We randomly assigned 23 male patients to a pulse displayed group (in which the portable pulsimeter displayed a pulse rate) or a pulse non-displayed group (in which the portable pulsimeter only recorded the data and did not display a pulse rate). The patients then received exercise therapy for 1 month. Patients in the pulse displayed group were instructed to regulate their walking speed by maintaining their portable pulsimeter in the target pulse rate zone, whereas patients in the pulse non-displayed group were instructed to regulate their walking speed while taking their pulse rate and using the Borg scale to maintain the target pulse rate zone using the conventional method. We found the mean walking time within the target pulse rate zone during exercise therapy was significantly increased in the pulse displayed group (p < 0.01). Similarly, glycoalbumin and 1,5-anhydro-D-glucitol improved significantly in the pulse displayed group after 1 month of exercise therapy (p < 0.01, respectively). Our results suggest that this therapeutic device might be useful for improving glycemic control in patients with type 2 diabetes.
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BACKGROUND: There are several functional tests for evaluating manual performance; however, quantitative manual tests for ataxia, especially those for evaluating handwriting, are limited. OBJECTIVE: This study aimed to investigate the characteristics of cerebellar ataxia by analyzing handwriting, with a special emphasis on correlation between the movement of the pen tip and the movement of the finger or wrist. DESIGN: This was an observational study. METHODS: Eleven people who were right-handed and had cerebellar ataxia and 17 people to serve as controls were recruited. The Scale for the Assessment and Rating of Ataxia was used to grade the severity of ataxia. Handwriting movements of both hands were analyzed. The time required for writing a character, the variability of individual handwriting, and the correlation between the movement of the pen tip and the movement of the finger or wrist were evaluated for participants with ataxia and control participants. RESULTS: The writing time was longer and the velocity profile and shape of the track of movement of the pen tip were more variable in participants with ataxia than in control participants. For participants with ataxia, the direction of movement of the pen tip deviated more from that of the finger or wrist, and the shape of the track of movement of the pen tip differed more from that of the finger or wrist. The severity of upper extremity ataxia measured with the Scale for the Assessment and Rating of Ataxia was mostly correlated with the variability parameters. Furthermore, it was correlated with the directional deviation of the trajectory of movement of the pen tip from that of the finger and with increased dissimilarity of the shapes of the tracks. LIMITATIONS: The results may have been influenced by the scale and parameters used to measure movement. CONCLUSIONS: Ataxic handwriting with increased movement noise is characterized by irregular pen tip movements unconstrained by the finger or wrist. The severity of ataxia is correlated with these unconstrained movements.