OBJECTIVES: We examined the prevalence of frailty among Mexican American older adults and explored the correlates associated with becoming frail to determine their affect on disability and morbidity in this population. METHODS: We studied the trajectory of frailty over 10 years in 2049 Mexican Americans participating in the Hispanic Established Populations Epidemiologic Studies of the Elderly. We constructed a frailty index based on weight loss, exhaustion, grip strength, walking speed, and physical activity and collected data on sociodemographic and health status, comorbidities, and functional measures of performance. RESULTS: The sample was 58% female, with a mean age of 74.43 years (SD = 6.04) at baseline. Fifty-five percent of participants at baseline and 75% of the surviving sample at follow-up (n = 777) were classified as prefrail or frail. Of persons identified as frail at baseline, 84% died by the end of follow-up. Baseline age, diabetes, arthritis, smoking status, body mass index, cognition, negative affect, and number of comorbid conditions were predictors of frailty at follow-up (R(2) = 0.29; P < .05). CONCLUSIONS: Further research into ways to reduce the number of Mexican American older adults who become frail and disabled and therefore lose their independence is needed. Future studies should continue to examine the trajectory of frailty as a dynamic process that includes psychosocial and cognitive components.
OBJECTIVES: We examined the prevalence of frailty among Mexican American older adults and explored the correlates associated with becoming frail to determine their affect on disability and morbidity in this population. METHODS: We studied the trajectory of frailty over 10 years in 2049 Mexican Americans participating in the Hispanic Established Populations Epidemiologic Studies of the Elderly. We constructed a frailty index based on weight loss, exhaustion, grip strength, walking speed, and physical activity and collected data on sociodemographic and health status, comorbidities, and functional measures of performance. RESULTS: The sample was 58% female, with a mean age of 74.43 years (SD = 6.04) at baseline. Fifty-five percent of participants at baseline and 75% of the surviving sample at follow-up (n = 777) were classified as prefrail or frail. Of persons identified as frail at baseline, 84% died by the end of follow-up. Baseline age, diabetes, arthritis, smoking status, body mass index, cognition, negative affect, and number of comorbid conditions were predictors of frailty at follow-up (R(2) = 0.29; P < .05). CONCLUSIONS: Further research into ways to reduce the number of Mexican American older adults who become frail and disabled and therefore lose their independence is needed. Future studies should continue to examine the trajectory of frailty as a dynamic process that includes psychosocial and cognitive components.
Authors: Linda P Fried; Luigi Ferrucci; Jonathan Darer; Jeff D Williamson; Gerard Anderson Journal: J Gerontol A Biol Sci Med Sci Date: 2004-03 Impact factor: 6.053
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: Dennis T Villareal; K Steger-May; K B Schechtman; K E Yarasheski; M Brown; D R Sinacore; E F Binder Journal: Age Ageing Date: 2004-05 Impact factor: 10.668
Authors: Heather E Whitson; Stephen Thielke; Paula Diehr; Ann M O'Hare; Paulo H M Chaves; Neil A Zakai; Alice Arnold; Sarwat Chaudhry; Diane Ives; Anne B Newman Journal: J Am Geriatr Soc Date: 2011-02-02 Impact factor: 5.562
Authors: Anna A Rubtsova; María J Marquine; Colin Depp; Marcia Holstad; Ronald J Ellis; Scott Letendre; Dilip V Jeste; David J Moore Journal: Behav Med Date: 2018-11-15 Impact factor: 3.104
Authors: Jessica M Jarvis; Brian Downer; Jacques Baillargeon; Mary Khetani; Kenneth J Ottenbacher; James E Graham Journal: Disabil Rehabil Date: 2018-01-30 Impact factor: 3.033