David R Lee1, Claudia H Kawas2,3, Lisa Gibbs4, María M Corrada2,5. 1. School of Medicine, University of California at Irvine, Irvine, California. 2. Department of Neurology, University of California at Irvine, Irvine, California. 3. Department of Neurobiology and Behavior, University of California at Irvine, Irvine, California. 4. Division of Geriatric Medicine and Gerontology, University of California at Irvine, Irvine, California. 5. Department of Epidemiology, University of California at Irvine, Irvine, California.
Abstract
OBJECTIVES: To evaluate the prevalence of frailty and examine factors associated with frailty in the 90+ Study. DESIGN: Cross-sectional. SETTING: Population-based longitudinal study of people aged 90 and older. PARTICIPANTS: 90+ Study participants (N = 824). MEASUREMENTS: Participants were assessed at baseline for five components of frailty (low weight, weakness, exhaustion, slowness, low physical activity). Frailty status was defined as meeting the criteria for at least three of the five components of frailty. The prevalence of frailty in people aged 90 and older was estimated according to sex and age (90-94, ≥95). Logistic regression models were constructed to assess the relationship between the prevalence of frailty and sex, age, education level, living situation, and marital status. RESULTS: This study estimated the overall prevalence of frailty in people aged 90 and older to be 28.0%. The overall prevalence of frailty was 24% in those aged 90 to 94 and 39.5% in those aged 95 and older. The prevalence of frailty was significantly associated with age in women but not men and with living with relatives or caregiver or in a group setting. Sex, education, and marital status were not significantly associated with frailty. CONCLUSION: The prevalence of frailty was high in people aged 90 and older and continued to increase with age, particularly for women. As the number of people aged 90 and older continues to increase, it will be increasingly important to identify factors associated with frailty that may provide potential targets for the prevention of adverse health outcomes in this population.
OBJECTIVES: To evaluate the prevalence of frailty and examine factors associated with frailty in the 90+ Study. DESIGN: Cross-sectional. SETTING: Population-based longitudinal study of people aged 90 and older. PARTICIPANTS: 90+ Study participants (N = 824). MEASUREMENTS: Participants were assessed at baseline for five components of frailty (low weight, weakness, exhaustion, slowness, low physical activity). Frailty status was defined as meeting the criteria for at least three of the five components of frailty. The prevalence of frailty in people aged 90 and older was estimated according to sex and age (90-94, ≥95). Logistic regression models were constructed to assess the relationship between the prevalence of frailty and sex, age, education level, living situation, and marital status. RESULTS: This study estimated the overall prevalence of frailty in people aged 90 and older to be 28.0%. The overall prevalence of frailty was 24% in those aged 90 to 94 and 39.5% in those aged 95 and older. The prevalence of frailty was significantly associated with age in women but not men and with living with relatives or caregiver or in a group setting. Sex, education, and marital status were not significantly associated with frailty. CONCLUSION: The prevalence of frailty was high in people aged 90 and older and continued to increase with age, particularly for women. As the number of people aged 90 and older continues to increase, it will be increasingly important to identify factors associated with frailty that may provide potential targets for the prevention of adverse health outcomes in this population.
Authors: Shantell C Nolen; Marcella A Evans; Avital Fischer; Maria M Corrada; Claudia H Kawas; Daniela A Bota Journal: Mech Ageing Dev Date: 2017-05-11 Impact factor: 5.432
Authors: David R Lee; Eilann C Santo; Joan C Lo; Miranda L Ritterman Weintraub; Mary Patton; Nancy P Gordon Journal: BMC Fam Pract Date: 2018-10-19 Impact factor: 2.497
Authors: Deborah Lambotte; Liesbeth De Donder; Ellen E De Roeck; Lieve J Hoeyberghs; Anne van der Vorst; Daan Duppen; Michaël Van der Elst; Bram Fret; Sarah Dury; An-Sofie Smetcoren; Martinus J M Kardol; Sebastiaan Engelborghs; Peter Paul De Deyn; Nico De Witte; Jos M G A Schols; Gertrudis I J M Kempen; G A Rixt Zijlstra; Jan De Lepeleire; Birgitte Schoenmakers; Dominique Verté; Eva Dierckx Journal: BMC Geriatr Date: 2018-08-27 Impact factor: 3.921