Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2

• Published in: Gerontology (Basel) Vol. 69; no. 10; pp. 1189 - 1199
• Main Authors: Lee, Shuen Yee, Nyunt, Ma Shwe Zin, Gao, Qi, Gwee, Xinyi, Chua, Denise Qian Ling, Yap, Keng Bee, Wee, Shiou Liang, Ng, Tze Pin
• Format: Journal Article
• Language: English
• Published: Basel, Switzerland 01.10.2023
• Subjects: Clinical Section: Research Article; Least absolute shrinkage selection operator regression; Psychosocial risk factors; Mahjong; Social activities; Cognitive frailty transition; Cognitive frailty predictors
• ISSN: 0304-324X; 1423-0003
• DOI: 10.1159/000531421

Introduction: Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty. Methods: Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3–5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models. Results: A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24–5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03–8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10–0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17–0.82). Conclusion: Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.