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Effects of online group exercises for older adults on physical, psychological and social wellbeing: a randomized pilot trial

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ABSTRACT

Background: Intervention programs to promote physical activity in older adults, either in group or home settings, have shown equivalent health outcomes but different results when considering adherence. Group-based interventions seem to achieve higher participation in the long-term. However, there are many factors that can make of group exercises a challenging setting for older adults. A major one, due to the heterogeneity of this particular population, is the difference in the level of skills. In this paper we report on the physical, psychological and social wellbeing outcomes of a technology-based intervention that enable online group exercises in older adults with different levels of skills.

Methods: A total of 37 older adults between 65 and 87 years old followed a personalized exercise program based on the OTAGO program for fall prevention, for a period of eight weeks. Participants could join online group exercises using a tablet-based application. Participants were assigned either to the Control group, representing the traditional individual home-based training program, or the Social group, representing the online group exercising. Pre- and post- measurements were taken to analyze the physical, psychological and social wellbeing outcomes.

Results: After the eight-weeks training program there were improvements in both the Social and Control groups in terms of physical outcomes, given the high level of adherence of both groups. Considering the baseline measures, however, the results suggest that while in the Control group fitter individuals tended to adhere more to the training, this was not the case for the Social group, where the initial level had no effect on adherence. For psychological outcomes there were improvements on both groups, regardless of the application used. There was no significant difference between groups in social wellbeing outcomes, both groups seeing a decrease in loneliness despite the presence of social features in the Social group. However, online social interactions have shown to be correlated to the decrease in loneliness in the Social group.

Conclusion: The results indicate that technology-supported online group-exercising which conceals individual differences in physical skills is effective in motivating and enabling individuals who are less fit to train as much as fitter individuals. This not only indicates the feasibility of training together despite differences in physical skills but also suggests that online exercise might reduce the effect of skills on adherence in a social context. However, results from this pilot are limited to a small sample size and therefore are not conclusive. Longer term interventions with more participants are instead recommended to assess impacts on wellbeing and behavior change.

No MeSH data available.


Study flow diagram.
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fig-2: Study flow diagram.

Mentions: The study followed a framework for the design and evaluation of complex interventions in health settings (Campbell et al., 2000). Using a matched random assignment procedure, participants were assigned either an experimental (“social”) condition or to a control condition (McBurney & White, 2009; Whitley & Kite, 2013), considering age and participants’ frailty level as the random assignment variables. The randomization was performed using the statistical software SPSS. The allocation was concealed to the researchers who enrolled and assessed the participants (the Coach and a social scientist). Once baseline measures were taken, a third researcher, using the statistical software SPSS, performed the random assignment (at once) to Control and Social conditions from the pool of 40 subjects. The overall study flow is depicted in Fig. 2.


Effects of online group exercises for older adults on physical, psychological and social wellbeing: a randomized pilot trial
Study flow diagram.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5384569&req=5

fig-2: Study flow diagram.
Mentions: The study followed a framework for the design and evaluation of complex interventions in health settings (Campbell et al., 2000). Using a matched random assignment procedure, participants were assigned either an experimental (“social”) condition or to a control condition (McBurney & White, 2009; Whitley & Kite, 2013), considering age and participants’ frailty level as the random assignment variables. The randomization was performed using the statistical software SPSS. The allocation was concealed to the researchers who enrolled and assessed the participants (the Coach and a social scientist). Once baseline measures were taken, a third researcher, using the statistical software SPSS, performed the random assignment (at once) to Control and Social conditions from the pool of 40 subjects. The overall study flow is depicted in Fig. 2.

View Article: PubMed Central - HTML - PubMed

ABSTRACT

Background: Intervention programs to promote physical activity in older adults, either in group or home settings, have shown equivalent health outcomes but different results when considering adherence. Group-based interventions seem to achieve higher participation in the long-term. However, there are many factors that can make of group exercises a challenging setting for older adults. A major one, due to the heterogeneity of this particular population, is the difference in the level of skills. In this paper we report on the physical, psychological and social wellbeing outcomes of a technology-based intervention that enable online group exercises in older adults with different levels of skills.

Methods: A total of 37 older adults between 65 and 87 years old followed a personalized exercise program based on the OTAGO program for fall prevention, for a period of eight weeks. Participants could join online group exercises using a tablet-based application. Participants were assigned either to the Control group, representing the traditional individual home-based training program, or the Social group, representing the online group exercising. Pre- and post- measurements were taken to analyze the physical, psychological and social wellbeing outcomes.

Results: After the eight-weeks training program there were improvements in both the Social and Control groups in terms of physical outcomes, given the high level of adherence of both groups. Considering the baseline measures, however, the results suggest that while in the Control group fitter individuals tended to adhere more to the training, this was not the case for the Social group, where the initial level had no effect on adherence. For psychological outcomes there were improvements on both groups, regardless of the application used. There was no significant difference between groups in social wellbeing outcomes, both groups seeing a decrease in loneliness despite the presence of social features in the Social group. However, online social interactions have shown to be correlated to the decrease in loneliness in the Social group.

Conclusion: The results indicate that technology-supported online group-exercising which conceals individual differences in physical skills is effective in motivating and enabling individuals who are less fit to train as much as fitter individuals. This not only indicates the feasibility of training together despite differences in physical skills but also suggests that online exercise might reduce the effect of skills on adherence in a social context. However, results from this pilot are limited to a small sample size and therefore are not conclusive. Longer term interventions with more participants are instead recommended to assess impacts on wellbeing and behavior change.

No MeSH data available.