Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study

J Nutr Health Aging. 2020;24(1):98-106. doi: 10.1007/s12603-019-1277-8.

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.

Keywords: Frailty; longitudinal; risk factors; transition.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Disease Progression
  • Female
  • Frail Elderly / statistics & numerical data*
  • Frailty / physiopathology*
  • Geriatric Assessment*
  • Humans
  • Independent Living
  • Longitudinal Studies
  • Male
  • Nutrition Assessment
  • Nutritional Status / physiology*
  • Physical Examination
  • Risk Factors
  • Singapore
  • Socioeconomic Factors