Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04938999 |
Other study ID # |
2019.624 |
Secondary ID |
|
Status |
Recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
January 5, 2022 |
Est. completion date |
September 30, 2023 |
Study information
Verified date |
May 2022 |
Source |
Chinese University of Hong Kong |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Objective: Although physical activity (PA) is cardiometabolic and psychologically beneficial
to adults with intellectual disability (ID), its initiation and maintenance remain
problematic. We examine the effects of a music-visual guided PA (MVgPA) intervention on the
PA level, PA self-efficacy and interest as well as functional exercise capacity of adults
with ID.
Hypothesis: Compared with usual care, MVgPA can significantly increase the participant's PA
level and improve their PA self-efficacy and interest, and functional exercise capacity.
Design and participants: This cluster-randomized controlled trial will recruit 400 Chinese
adults with mild to moderate ID from 20 residential care facilities.
Intervention: Based on the information-motivation-strategy model, MVgPA comprises a
motivational and strategical preparatory session and ongoing support to residential service
providers and a 12-week group-based staff-facilitated MVgPA (two 75-min session/week) for
adults with ID. Outcome measurement PA level (primary outcome) will be measured by using an
activity tracker. PA self-efficacy and interest will be measured by the Baseline Interview
Questionnaire and visual analogue scale respectively. Functional exercise capacity will be
measured by six-minute walk test. All outcomes will be measured at baseline, 13 and 25 weeks.
Data analysis: Intervention effects will be estimated using three-level mixed effects model.
Expected results: MVgPA will effectively enhance the PA levels of adults with ID. After
intervention implementation, we expect that at least 50% of the residential care facilities
allocated to the intervention group will demonstrate their willingness to continue to
implement the MVgPA program (score 4 out of 6, 6 = most willing).
Description:
The specific objectives of this project are to (1) evaluate the effectiveness of this
intervention in improving the PA level of these adults, enhancing their self-efficacy and
interest in performing PA and improving their functional exercise capacity by conducting a
cluster-randomized controlled trial, and (2) examine the acceptability of this intervention
among the participants and the staff of residential care facilities.
Participant recruitment The person-in-charge of residential care facilities and the
non-governmental organizations that serve adults with ID, including the Hong Chi Association
who had collaborated with us in our pilot project, will be approached by the research team to
seek their collaboration and support in recruiting participants and implementing the project.
The research team will organize promotion talks and distribute promotion leaflets of the
project to potential participants and their families or legal guardians. To ensure safety of
the participants, PA pre-participation health screening will be performed in accordance with
the guidelines of American College Sport Medicine. Medical clearance/approval to participate
MVgPA will be sought if they have known cardiovascular, metabolic and/or renal disease, or
signs and symptoms suggesting these diseases (as detailed in Appendix 1). An information
sheet related to the MVgPA, including the heart rates during the PA and type of exercise,
will be provided to the physicians.
Sample size calculation A similar study for adults with ID in community residences showed an
effect size of 0.35 on PA level change. Assuming a similar effect size on PA level change in
our proposed trial, a sample size of 129 participants per each of the control and
intervention groups will provide the study with 80% power at 2-sided 5% level of
significance, as estimated using the power analysis software PASS 13.0 (NCSS, Kaysville,
USA). Furthermore, to account for potential reduction in statistical efficiency due to
randomization by residential care facilities (clusters) instead of individual participants, a
variance inflation factor, called design effect, will be applied to impose to the estimated
sample size. The design effect is given by 1 + (m-1)*ICC, where m=average cluster size and
ICC=intracluster correlation coefficient of the underlying outcome. We anticipate that the
outcomes of the participants recruited from the same residential care facility are unlikely
correlated with one another, particularly for the PA outcome. In this regard, the ICC would
be small. A synthesis study revealed that ICC tends to be small in primary care research with
a median of 0.005 and inter-quartile range of 0.000 to 0.021. Allowing for a conservative ICC
of 0.01 in our proposed study, at least 16 participants per each of the 20 residential care
facility are therefore required. Furthermore, to allow up to 20% attrition rate, at least 20
participants per facility will be recruited.
Cluster randomization Randomization will be performed at the cluster level (residential care
facility) instead of individual participants to avoid contamination between the intervention
and control groups. The facilities will be randomized to either intervention or control group
in a 1:1 ratio. Eligible participants recruited from the same facility will be allocated to
either intervention or control groups accordingly. Group allocation will be concealed from
outcome assessors and made according to the random group allocation sequence generated by an
independent statistician and the sequence of entry into the study.
Data analysis By considering the potential design effect of the randomization conducted in
cluster level instead of individual participants, the outcome analysis will be performed on
the basis of a three-level mixed effects model accounting for inter-correlation among
individuals within the same cluster as well as intra-correlation over time within an
individual and variations between individuals. This type of model can account for
intra-correlated clustered and repeated measures data and produce unbiased estimates even in
the presence of missing data, provided that the data are missing at random. Mixed-effects
model will be used to compare the differential changes in each outcome variables (PA level,
PA self-efficacy and interest, and exercise capacity) across time (T0, T1, T2) between the
two groups. Positive significant group-by-T1 and group-by-T2 interaction-terms in the
mixed-effects models indicate significantly greater increment of intervention group in the
underlying outcome than the control group at the respective time-points with respect to T0.