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@ARTICLE{Schmidt:180707,
author = {L. I. Schmidt and C.-P. Jansen and J. Depenbusch$^*$ and M.
Gabrian and M. Sieverding and H.-W. Wahl},
title = {{U}sing wearables to promote physical activity in old age.
{F}easibility, benefits, and user friendliness.},
journal = {Zeitschrift für Gerontologie und Geriatrie},
volume = {55},
number = {5},
issn = {0044-281X},
address = {Heidelberg},
publisher = {Springer Medizin},
reportid = {DKFZ-2022-01502},
pages = {388-393},
year = {2022},
note = {2022 Aug;55(5):388-393},
abstract = {Background: Wearables provide new opportunities to promote
physical activity also among older adults but data on
effectiveness and user friendliness are rare.Objective: The
effects of a comprehensive self-regulative intervention on
moderate to vigorous physical activity (MVPA) and number of
steps were examined using commercially available activity
trackers. Acceptance regarding the devices was analysed in
various domains.Methods: In this study 80 older adults (mean
= 67.03 years, standard deviation = 3.97 years; $59\%$
women) wore a Fitbit Charge HR for 21 days including a
baseline, a postintervention and a follow-up week. The
intervention comprised feedback, goal setting and planning
and $50\%$ of the participants were additionally randomized
to a role model component. Social cognitive predictors based
on the health action process approach (HAPA) and user
experience were assessed via questionnaires.Results: The
MVPA increased by an average of 19 min per week and steps by
1317 per day. An additional benefit of the role model
component could be observed for MVPA. In the follow-up, the
intervention effect was still significant for the number of
steps, while MVPA dropped back to baseline. Multilevel
models including HAPA variables explained small but
significant amounts of variance in MVPA $(8\%$
within-person, $26\%$ between-person) and steps $(11\%$
within-person, $12\%$ between-person). User experience was
rated as very high.Conclusion: Providing an intervention
based on established behavior change techniques and
self-monitoring via wearables seems to be effective for
increasing physical activity among older adults. The HAPA
variables seem to play a limited role to explain activity
levels. Acceptance of wearables can be expected to be high.},
subtyp = {Review Article},
cin = {C110},
ddc = {150},
cid = {I:(DE-He78)C110-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35849158},
doi = {10.1007/s00391-022-02083-x},
url = {https://inrepo02.dkfz.de/record/180707},
}