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@ARTICLE{Hajek:154305,
author = {Hajek, André and Brettschneider, Christian and Röhr,
Susanne and Gühne, Uta and van der Leeden, Carolin and
Lühmann, Dagmar and Mamone, Silke and Wiese, Birgitt and
Weyerer, Siegfried and Werle, Jochen and Fuchs, Angela and
Pentzek, Michael and Weeg, Dagmar and Mösch, Edelgard and
Heser, Kathrin and Wagner, Michael and Maier, Wolfgang and
Riedel-Heller, Steffi G and Scherer, Martin and König,
Hans-Helmut},
title = {{W}hich {F}actors {C}ontribute to {F}railty among the
{O}ldest {O}ld? {R}esults of the {M}ulticentre {P}rospective
{A}ge{C}o{D}e and {A}ge{Q}uali{D}e {S}tudy.},
journal = {Gerontology},
volume = {66},
number = {5},
issn = {1423-0003},
address = {Basel [u.a.]},
publisher = {Karger},
reportid = {DZNE-2021-00159},
pages = {460 - 466},
year = {2020},
note = {ISSN 1423-0003 not unique: **3 hits**.},
abstract = {There is a lack of studies investigating the link between
time-varying factors associated with changes in frailty
scores in very old age longitudinally. This is important
because the level of frailty is associated with subsequent
morbidity and mortality.To examine time-dependent predictors
of frailty among the oldest old using a longitudinal
approach.Longitudinal data were drawn from the multicentre
prospective cohort study 'Study on Needs, health service
use, costs and health-related quality of life in a large
sample of oldest-old primary care patients (85+)'
(AgeQualiDe), covering primary care patients aged 85 years
and over. Three waves were used (from follow-up, FU, wave 7
to FU wave 9 [with 10 months between each wave]; 1,301
observations in the analytical sample). Frailty was assessed
using the Canadian Study of Health and Aging (CSHA) Clinical
Frailty Scale (CFS). As explanatory variables, we included
sociodemographic factors (marital status and age), social
isolation as well as health-related variables (depression,
dementia, and chronic diseases) in a regression analysis.In
total, $18.9\%$ of the individuals were mildly frail,
$12.4\%$ of the individuals were moderately frail, and
$0.4\%$ of the individuals were severely frail at FU wave 7.
Fixed effects regressions revealed that increases in frailty
were associated with increases in age (β = 0.23, p <
0.001), and dementia (β = 0.84, p < 0.01), as well as
increases in chronic conditions (β = 0.03, p = 0.058).The
study findings particularly emphasize the importance of
changes in age, probably chronic conditions as well as
dementia for frailty. Future research is required to
elucidate the underlying mechanisms. Furthermore, future
longitudinal studies based on panel regression models are
required to confirm our findings.},
keywords = {Activities of Daily Living / Aged, 80 and over / Canada:
epidemiology / Cohort Studies / Female / Frail Elderly:
statistics $\&$ numerical data / Frailty: epidemiology /
Humans / Longitudinal Studies / Male / Primary Health Care:
statistics $\&$ numerical data / Prospective Studies /
Quality of Life / Chronic conditions (Other) / Chronic
illness (Other) / Comorbidity (Other) / Dementia (Other) /
Depression (Other) / Frailty (Other) / Longitudinal study
(Other) / Oldest old (Other) / Physical illness (Other)},
cin = {AG Wagner / U Clinical Researchers - Bonn},
ddc = {610},
cid = {I:(DE-2719)1011201 / I:(DE-2719)7000001},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32634802},
doi = {10.1159/000508723},
url = {https://pub.dzne.de/record/154305},
}