Pregled bibliografske jedinice broj: 1090222
Cluster Analysis of the Associations among Physical Frailty, Cognitive Impairment and Mental Disorders
Cluster Analysis of the Associations among Physical Frailty, Cognitive Impairment and Mental Disorders // MEDICAL SCIENCE MONITOR, 26 (2020), e924281-1 doi:10.12659/msm.924281 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1090222 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Cluster Analysis of the Associations among
Physical Frailty, Cognitive Impairment and
Mental Disorders
Autori
Majnarić, Ljiljana ; Bekić, Sanja ; Babič, František ; Pusztová, Ľudmila ; Paralič, Ján
Izvornik
MEDICAL SCIENCE MONITOR (1643-3750) 26
(2020);
E924281-1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Cluster Analysis, Frail Elderly, Mild Cognitive Impairment, Primary Health Care
Sažetak
Background Physical frailty, cognitive impairment, and symptoms of anxiety and depression frequently co-occur in later life, but, to date, each has been assessed separately. The present study assessed their patterns in primary care patients aged ≥60 years. Material/Methods This cross-sectional study evaluated 263 primary care patients aged ≥60 years in eastern Croatia in 2018. Physical frailty, cognitive impairment, anxiety and depression, were assessed using the Fried phenotypic model, the Mini-Mental State Examination (MMSE), the Geriatric Anxiety Scale (GAS), and the Geriatric Depression Scale (GDS), respectively. Patterns were identified by latent class analysis (LCA), Subjects were assorted by age, level of education, and domains of psychological and cognitive tests to determine clusters. Results Subjects were assorted into four clusters: one cluster of relatively healthy individuals (61.22%), and three pathological clusters, consisting of subjects with mild cognitive impairment (23.95%), cognitive frailty (7.98%), and physical frailty (6.85%). A multivariate, multinomial logistic regression model found that the main determinants of the pathological clusters were increasing age and lower mnestic functions. Lower performance on mnestic tasks was found to significantly determine inclusion in the three pathological clusters. The non- mnestic function, attention, was specifically associated with cognitive impairment, whereas psychological symptoms of anxiety and dysphoria were associated with physical frailty. Conclusions Clustering of physical and cognitive performances, based on combinations of their grades of severity, may be superior to modelling of their respective entities, including the continuity and non-linearity of age-related accumulation of pathologic conditions.
Izvorni jezik
Engleski
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Osijek,
Fakultet za dentalnu medicinu i zdravstvo, Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE