Abstract
Objectives
Cognitive frailty was notable target for the prevention of adverse health outcomes in future. The goal of this study was to use a population-based survey to investigate cognitive frailty phenotypes and potentially sociodemographic factors in elderly Chinese individuals.
Design
Cross-sectional study.
Setting
General community.
Participants
A total of 5328 elderly adults (aged 60 years or older, mean age 71.36 years) enrolled in the Shanghai study of health promotion for elderly individuals with frailty.
Measurements
The 5-item FRAIL scale and the 3-item Rapid Cognitive Screen tools were used to assess physical frailty and cognitive impairment, including dementia or mild cognitive impairment (MCI). Physical frailty was diagnosed by limitations in 3 or more of the FRAIL scale domains and pre-physical frailty by 1–2 limitations. Subjective cognitive decline (SCD) and pre-MCI SCD, was diagnosed with two self-report measures based on memory and other cognitive domains in elderly adults.
Results
Of the participating individuals, 97.17% (n= 5177, female 53.4%) were eligible. Notably, 9.67%, 41.61% and 35.20% of participants were MCI, SCD and pre-MCI SCD; 35.86% and 4.41% exhibited physical pre-frailty and frailty; and 19.86% and 6.30% exhibited reversible and potential reversible cognitive frailty. Logistic regression analyses indicated that physical frailty phenotypes were significantly associated with MCI with SCD, and pre-MCI with SCD. Older single females with a high education level were more likely to exhibit the reversible cognitive frailty; and younger elderly individuals with a middle education level were at lower risk for potentially reversible cognitive frailty.
Conclusions
The prevalence of pre-physical and reversible cognitive frailty was high in elderly individuals and age was the most significant risk factor for all types of frailty phenotypes. To promote the rapid screening protocol of cognitive frailty in community-dwelling elderly is important to find high-risk population, implement effective intervention, and decrease adverse prognosis.
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Acknowledgements
We would like to thank the healthcare staff members who were involved in this study.
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Statement of author’s contributions to manuscript: RQ, YZ: Study design. RQ, YZ: Writing the manuscript. RQ, XF, GK, ZW, RJ: Analysis and interpretation of data. All authors contributed to experimental investigation and gave final approval of this version.
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Ethics approval: Informed consent was obtained from all individual participants included in the study. And the study protocol was approved by Hudong Hospital Research Ethics Committee, Fudan University
Sources of Financial Support: The Shanghai study of health promotion for elderly individuals with frailty was supported by the Medical Science and Technology Support Project of Shanghai Science and Technology Commission (grant no.18411962200), the Shanghai Hospital Development Center (grant no. SHDC12014221) and the Shanghai key Clinical Geriatric Medicine Center Construction (grant no. 2017ZZ02010).
Conflicts of interest: There are no conflicts of interest.
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Supplementary Figure 1
Prevalence and co-occurrence of physical frailty, physical pre-frailty, SCD, pre-MCI, and MCI.
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Ruan, Q., Xiao, F., Gong, K. et al. Prevalence of Cognitive Frailty Phenotypes and Associated Factors in a Community-Dwelling Elderly Population. J Nutr Health Aging 24, 172–180 (2020). https://doi.org/10.1007/s12603-019-1286-7
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DOI: https://doi.org/10.1007/s12603-019-1286-7