Studying the Relationship Between Cognitive Impairment and Frailty Phenotype: A Cross-Sectional Analysis of the Bushehr Elderly Health (Beh) Program Publisher



Sharifi F¹ ; Khoiee MA^{1, 2} ; Aminroaya R² ; Ebrahimpur M¹ ; Shafiee G³ ; Heshmat R³ ; Payab M⁴ ; Shadman Z¹ ; Fakhrzadeh H¹ ; Arzaghi SM¹ ; Mehrdad N¹ ; Ostovar A⁵ ; Sheidaei A⁶ ; Fahimfar N⁵ Show All Authors Show Affiliations
Source: Journal of Diabetes and Metabolic Disorders Published:2021

Abstract

Background: Some pathophysiological effects of physical frailty and cognitive impairment might be similar; therefore, finding the associations in epidemiologic studies could guide clinicians and researchers to recognize effective strategies for each type of frailty such as frailty phenotype and frailty index, which in turn will result in a preventive approach. The study aimed to reveal which components of frailty phenotype are more associated with cognitive impairment. The findings of this study may help other researchers clarify the related pathways. Methods: This is a cross-sectional analysis of the results of the second phase of Bushehr Elderly Health Program; a community-based elderly prospective cohort study conducted in 2015–2016. The participants were selected through a multistage stratified cluster random sampling method. Frailty was assessed based on the Fried frailty phenotype criteria. Cognitive impairment was assessed by the Mini-Mental State Examination (MMSE), the Mini-Cog, and the Category Fluency Test (CFT). Multiple logistic regression models were applied to determine the association between frailty and cognitive impairment. Depression trait was assessed using the Patient Health Questionnaire-9 (PHQ-9). Activities of daily living were assessed using the Barthel Index and Instrumental Activities of Daily Living (IADLs) using Lawton’s IADL. Results: The studyp conducted among people ≥ 60 years old (N = 2336) with women consisting 51.44% of the sample group. The mean age of the participants was 69.26 years old. The prevalence of pre-frailty and frailty were 42.59% and 7.66%, respectively. In the fully adjusted model, the odds ratio of the association between pre-frailty and frailty with cognitive impairment was 1.239, 95% CI: 1.011 – 1.519 and 1.765, 95% CI: 1.071 – 2.908, respectively (adjusted for age, sex, education, body mass index, smoking, diabetes mellitus, PHQ- 9, Barthel Index, and IADLs). In the fully adjusted multiple logistic regression models, all of the components of Fried frailty phenotype were significantly related to cognitive impairment except weight loss. Conclusion: Cognitive impairment may be associated with frailty phenotype. Moreover, low strength and function of muscles had a stronger association with cognitive impairment. It seems that a consideration of cognitive impairment assessment in older people along with frailty and vice versa in clinical settings is reasonable. © 2021, Springer Nature Switzerland AG.