Fakultät Angewandte Sozial- und Gesundheitswissenschaften
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Purpose
The purpose of this study was to gather data about physical activity and quality of life (QoL) for people of working age with visual impairments to optimize upcoming physical activity-based interventions in vocational rehabilitation.
Methods
Two hundred and seventy-seven former participants of four vocational rehabilitation centres in Germany answered an online questionnaire. The health-related QOL has been assessed by means of the WHOQOL-BREF questionnaire. The data were analysed via multivariate analysis of covariances (MANCOVAs), univariate analysis of covariances (ANCOVAs) and discriminant function analysis.
Results
Compared to a normative group of adults aged 36-45, the study group showed lower values in all domains of QOL. The MANCOVA (visual acuity) produced no multivariate significant effect. Also, the ANCOVA showed no significant effect for the global dimension of the WHOQOL-BREF. The MANCOVA (leisure time activity) produced a multivariate significant effect. Post-hoc ANCOVAS revealed significant effects for all four domains of QoL. The ANCOVA analysing the global domain showed a similar significant effect as well. The active persons had higher values in all domains of QoL compared to the more passive participants.
Conclusion
Interventions in vocational rehabilitation should focus on leisure time activity to enhance QoL. At this stage, the role of physical activity is still unclear and further studies are needed.
Implications for rehabilitation People with visual impairments often show a worse quality of life than normal-sighted people.
The degree of severity of the visual impairment does not affect quality of life.
Sport and physical activity are effective means of improving quality of life.
An active leisure time activity supports the improvement of the quality of life of visual-impaired people that participated in a vocational rehabilitation.
Background:
Fitbit and Garmin motion tracker devices are highly used in research. The validity and reliability of these devices is proven for healthy adults between 18 and 64.
Objectives:
Comparing data output of two devices.
Methods:
Observational case study on a test track and in the domestic environment of a 80- year-old female multimorbide geriatric patient.
Results:
High significant correlation of the devices on the test track [r=.776, p≤.001, Bca-CI-95% (.618;.874), N=33], but significant different in the domestic environment over time (z=4.840, p≤.001).
Conclusion:
The dominant/non-dominant body side and further sources of error may play a role in monitoring steps with these devices.