Dataset Information

Can a framed intervention motivate older adults in assisted living facilities to exercise?

ABSTRACT: BACKGROUND:The majority of institutionalized older adults do not exercise, despite the many health benefits. The current study investigated whether a framed intervention can motivate older adults in assisted living facilities (ALFs) to perform functional resistance exercises. It was hypothesized that repeated framing of these exercises from a prevention perspective (e.g., to avoid health deterioration) would nurture the development of controlled motivation to exercise. By contrast, repeated framing of the exercises from a promotion perspective (e.g., to improve health) was expected to lead to higher exercise frequencies over time and to foster the development of autonomous motivation. Autonomous motivation was hypothesized to predict higher exercise frequencies over time. METHODS:A total of 111 residents, aged 65+ years (M?=?81.4 y; SD?=?6.4 y) participated in the study. These participants received a printed three-week individual program with a standard session of eight functional resistance exercises. Four weekly sessions were recommended. Participants were semi-randomized into three framing conditions: neutral (i.e., control), prevention or promotion. They received condition-specific written and spoken messages about the exercises at the beginning of the intervention. The spoken messages were repeated at the end of each week. Participants kept a checklist with their weekly exercise frequency and at corresponding points in time, they completed a questionnaire about their levels of autonomous and controlled motivation to exercise. RESULTS:Across conditions and time points, the exercise frequencies and the levels of autonomous motivation were generally high, whereas the levels of controlled motivation were generally low. Contrary to the expectations, there were no significant framing effects. However, higher levels of autonomous motivation predicted higher exercise frequencies. During the final exercise week, this was especially the case for intrinsic regulation (i.e., for the sake of the activity). CONCLUSIONS:This study indicates that older adults who live in ALFs can be motivated to perform functional resistance exercises. Given the importance of intrinsic regulation, we advise to create an exercise atmosphere that allows for immediate, positive experiences and in which the basic psychological needs for autonomy, competence and relatedness are satisfied. TRIAL REGISTRATION:ClinicalTrialsID NCT02780037 (23 February 2016).

SUBMITTER: Vanroy J

PROVIDER: S-EPMC6379923 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Can a framed intervention motivate older adults in assisted living facilities to exercise?

Vanroy Jari J Seghers Jan J van Uffelen Jannique J Boen Filip F

BMC geriatrics 20190218 1

<h4>Background</h4>The majority of institutionalized older adults do not exercise, despite the many health benefits. The current study investigated whether a framed intervention can motivate older adults in assisted living facilities (ALFs) to perform functional resistance exercises. It was hypothesized that repeated framing of these exercises from a prevention perspective (e.g., to avoid health deterioration) would nurture the development of controlled motivation to exercise. By contrast, repea ...[more]

PMID: 30777017

Similar Datasets

Project description:BACKGROUND:The application of technology is an important and growing aspect in the field of long-term care. Growing evidence shows the positive impact of technology aids in helping the lives of the elderly. However, it is not known which aspects of information and communications technology (ICT) are preferred by older adults living in long-term care facilities. OBJECTIVE:The goal of the research was to compare the impact of ICT-communication, ICT-entertainment, and conventional care on older adults' health and psychological change after interventions among older adults in assisted-living facilities. METHODS:A three-arm group-randomized trial design was used to evaluate participants who resided in three different but comparable assisted-living facilities and received different aspects of the ICT interventions. A total of 54 older adults with disabilities received one of the three interventions over 12 weeks and completed pre- and postevaluations on quality of life, social support, and psychological well-being. RESULTS:Participants completing this study had a mean age of 73 (SD 11.4) years, and 50% (27/54) were male. Both the ICT-communication and ICT-entertainment groups showed significant improvement in the mental component of quality of life (4.11, P=.012 and 37.32, P<.001, respectively), family/friend-related social support (0.05, P=.001 and 0.04, P<.001, respectively), happiness (0.79, P=.038 and 3.72, P=.001, respectively), and depressive symptoms (-2.74, P=.001 and -7.33, P<.001, respectively). Importantly, participants in the ICT-entertainment group improved significantly more than the other two groups. The ICT-entertainment group also showed improvement in the physical component of quality of life (20.49, P<.001) and health care worker-related social support (0.1, P=.008). CONCLUSIONS:Results suggest that the entertainment but not the communication part of ICT is the most effective health promotion method for improving the health and psychological well-being of older adults in assisted-living facilities.

Project description:BackgroundWearables and artificial intelligence (AI)-powered digital health platforms that utilize machine learning algorithms can autonomously measure a senior's change in activity and behavior and may be useful tools for proactive interventions that target modifiable risk factors.ObjectiveThe goal of this study was to analyze how a wearable device and AI-powered digital health platform could provide improved health outcomes for older adults in assisted living communities.MethodsData from 490 residents from six assisted living communities were analyzed retrospectively over 24 months. The intervention group (+CP) consisted of 3 communities that utilized CarePredict (n=256), and the control group (-CP) consisted of 3 communities (n=234) that did not utilize CarePredict. The following outcomes were measured and compared to baseline: hospitalization rate, fall rate, length of stay (LOS), and staff response time.ResultsThe residents of the +CP and -CP communities exhibit no statistical difference in age (P=.64), sex (P=.63), and staff service hours per resident (P=.94). The data show that the +CP communities exhibited a 39% lower hospitalization rate (P=.02), a 69% lower fall rate (P=.01), and a 67% greater length of stay (P=.03) than the -CP communities. The staff alert acknowledgment and reach resident times also improved in the +CP communities by 37% (P=.02) and 40% (P=.02), respectively.ConclusionsThe AI-powered digital health platform provides the community staff with actionable information regarding each resident's activities and behavior, which can be used to identify older adults that are at an increased risk for a health decline. Staff can use this data to intervene much earlier, protecting seniors from conditions that left untreated could result in hospitalization. In summary, the use of wearables and AI-powered digital health platform can contribute to improved health outcomes for seniors in assisted living communities. The accuracy of the system will be further validated in a larger trial.

Project description:BackgroundExercise is an effective intervention to prevent falls in older adults; however, long-term adherence is often poor. To increase adherence, additional support for behavior change has been advocated. However, consistency in the reporting of interventions using behavior change techniques is lacking. Recently, a classification system has been developed to increase consistency in studies using behavior change techniques within the self-determination theory.ObjectiveThis study aimed to explore expressions of self-determination among community-dwelling older adults using a self-managed digital fall prevention exercise program comprising behavior change support (the Safe Step program), which was developed in co-creation with intended users.MethodsThe qualitative study design was based on open-ended responses to questionnaires, and individual and focus group interviews. A deductive qualitative content analysis was applied using the classification system of motivation and behavior change techniques as an analytical matrix, followed by an inductive analysis. Twenty-five participants took part in a feasibility study and exercised in their homes with the Safe Step program for 4 months. The exercise program was available on computers, smartphones, and tablets, and was fully self-managed.ResultsIn the deductive analysis, expressions of support were demonstrated for all three basic human psychological needs, namely, autonomy, competence, and relatedness. These expressions were related to 11 of the 21 motivation and behavior change techniques in the classification system. The inductive analysis indicated that autonomy (to be in control) was valued and enabled individual adaptations according to different rationales for realizing exercise goals. However, the experience of autonomy was also two-sided and depended on the participants' competence in exercise and the use of technology. The clarity of the program and exercise videos was seen as key for support in performance and competent choices. Although augmented techniques for social support were requested, support through relatedness was found within the program.ConclusionsIn this study, the Safe Step program supported the establishment of new exercise routines, as well as the three basic human psychological needs, with autonomy and competence being expressed as central in this context. Based on the participants' experiences, a proposed addition to the classification system used as an analytical matrix has been presented.Trial registrationClinicalTrials.gov NCT02916849; https://clinicaltrials.gov/ct2/show/NCT02916849.

Dataset Information

Can a framed intervention motivate older adults in assisted living facilities to exercise?

Publications

Can a framed intervention motivate older adults in assisted living facilities to exercise?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure