C Y Cheong1, M S Z Nyunt, Q Gao, X Gwee, R W M Choo, K B Yap, S L Wee, T P Ng. 1. Tze-Pin Ng, Gerontology Research Programme, National University of Singapore, Department of Psychological Medicine, NUHS Tower Block, 9th Floor, 1E Kent Ridge Road, Singapore 119228 Fax: 65-67772191, Tel: 65-67723478, Email: pcmngtp@nus.edu.sg.
Abstract
OBJECTIVES: To investigate risk factors of incident physical frailty. DESIGN: A population-based observational longitudinal study. SETTING: Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3-5 years later. PARTICIPANTS: A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty. MEASUREMENTS: Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers. RESULTS: A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p<0.05) with incident frailty. In stepwise selection models, age (year) (OR=1.07, 95%CI=1.03-1.10, p<0.001), albumin (g/L) (OR=0.85, 95%CI=0.77-0.94, p=0.002), MMSE score (OR=0.88, 95%CI=0.78-0.98, p=0.02), low folate (OR=3.72, 95%CI=1.17-11.86, p=0.03, and previous hospitalization (OR=2.26, 95%CI=1.01-5.04,p=0.05) were significantly associated with incident frailty. CONCLUSIONS: The study revealed multiple modifiable risk factors, especially related to poor nutrition, for which preventive measures and early management could potentially halt or delay the development of frailty.
OBJECTIVES: To investigate risk factors of incident physical frailty. DESIGN: A population-based observational longitudinal study. SETTING: Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3-5 years later. PARTICIPANTS: A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty. MEASUREMENTS: Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers. RESULTS: A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p<0.05) with incident frailty. In stepwise selection models, age (year) (OR=1.07, 95%CI=1.03-1.10, p<0.001), albumin (g/L) (OR=0.85, 95%CI=0.77-0.94, p=0.002), MMSE score (OR=0.88, 95%CI=0.78-0.98, p=0.02), low folate (OR=3.72, 95%CI=1.17-11.86, p=0.03, and previous hospitalization (OR=2.26, 95%CI=1.01-5.04,p=0.05) were significantly associated with incident frailty. CONCLUSIONS: The study revealed multiple modifiable risk factors, especially related to poor nutrition, for which preventive measures and early management could potentially halt or delay the development of frailty.
Authors: Alanna M Chamberlain; Jennifer L St Sauver; Debra J Jacobson; Sheila M Manemann; Chun Fan; Véronique L Roger; Barbara P Yawn; Lila J Finney Rutten Journal: BMJ Open Date: 2016-05-27 Impact factor: 2.692
Authors: Naila Ijaz; Brian Buta; Qian-Li Xue; Denise T Mohess; Archana Bushan; Henry Tran; Wayne Batchelor; Christopher R deFilippi; Jeremy D Walston; Karen Bandeen-Roche; Daniel E Forman; Jon R Resar; Christopher M O'Connor; Gary Gerstenblith; Abdulla A Damluji Journal: J Am Coll Cardiol Date: 2022-02-08 Impact factor: 24.094