Jennifer A Schrack1,2, Amal A Wanigatunga1,2, Vadim Zipunnikov3, Pei-Lun Kuo1,4, Eleanor M Simonsick4, Luigi Ferrucci4. 1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. 2. Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland. 3. Intramural Research Program, National Institute on Aging, Baltimore, Maryland. 4. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Abstract
BACKGROUND: Deficits in energy production and utilization have been linked to higher fatigue and functional decline with aging. Lesser known is whether individuals with a combination of low peak energy capacity and high energy costs for mobility (eg, impaired energy regulation) are more likely to experience the onset and progression of high fatigability with aging. METHODS: Participants in the Baltimore Longitudinal Study of Aging (n = 651, 49.0% male, mean age 71.9, range 50-94) with ≥2 visits who completed fatigability (Borg rating of perceived exertion [RPE] after a 5-minute 1.5 mph treadmill walk), slow walking energy expenditure (VO2 mL/kg/min), and peak walking energy expenditure (VO2 mL/kg/min), testing between 2007 and 2018. The longitudinal association between each measure of energy expenditure, a ratio of energy cost-to-capacity, and perceived fatigability was modeled using mixed effects models adjusted for age, body composition, and comorbidities. Time to higher perceived fatigability (RPE ≥ 10) was modeled using Cox proportional hazards models. RESULTS: In continuous analyses, higher slow walking energy expenditure (p < .05) and a higher cost ratio (p ≤ .001) were associated with greater perceived fatigability over time. Cox proportional hazards models using tertiles of the cost ratio suggest that, compared to those in the lowest tertile, those in the middle and highest tertiles had 1.89 (95% confidence interval [CI]: 1.57-5.16) and 2.85 (95% CI: 1.05-3.40) times greater risk of developing higher fatigability, respectively. CONCLUSION: Findings suggest that strategies to prevent fatigability should consider methods to improve energy regulation by targeting both the independent and combined effects of declining peak capacity and rising energy costs for mobility with aging.
BACKGROUND: Deficits in energy production and utilization have been linked to higher fatigue and functional decline with aging. Lesser known is whether individuals with a combination of low peak energy capacity and high energy costs for mobility (eg, impaired energy regulation) are more likely to experience the onset and progression of high fatigability with aging. METHODS:Participants in the Baltimore Longitudinal Study of Aging (n = 651, 49.0% male, mean age 71.9, range 50-94) with ≥2 visits who completed fatigability (Borg rating of perceived exertion [RPE] after a 5-minute 1.5 mph treadmill walk), slow walking energy expenditure (VO2 mL/kg/min), and peak walking energy expenditure (VO2 mL/kg/min), testing between 2007 and 2018. The longitudinal association between each measure of energy expenditure, a ratio of energy cost-to-capacity, and perceived fatigability was modeled using mixed effects models adjusted for age, body composition, and comorbidities. Time to higher perceived fatigability (RPE ≥ 10) was modeled using Cox proportional hazards models. RESULTS: In continuous analyses, higher slow walking energy expenditure (p < .05) and a higher cost ratio (p ≤ .001) were associated with greater perceived fatigability over time. Cox proportional hazards models using tertiles of the cost ratio suggest that, compared to those in the lowest tertile, those in the middle and highest tertiles had 1.89 (95% confidence interval [CI]: 1.57-5.16) and 2.85 (95% CI: 1.05-3.40) times greater risk of developing higher fatigability, respectively. CONCLUSION: Findings suggest that strategies to prevent fatigability should consider methods to improve energy regulation by targeting both the independent and combined effects of declining peak capacity and rising energy costs for mobility with aging.
Authors: Jerome L Fleg; Christopher H Morrell; Angelo G Bos; Larry J Brant; Laura A Talbot; Jeanette G Wright; Edward G Lakatta Journal: Circulation Date: 2005-07-25 Impact factor: 29.690
Authors: Elisa Fabbri; Yang An; Jennifer A Schrack; Marta Gonzalez-Freire; Marco Zoli; Eleanor M Simonsick; Jack M Guralnik; Cynthia M Boyd; Stephanie A Studenski; Luigi Ferrucci Journal: J Gerontol A Biol Sci Med Sci Date: 2014-11-18 Impact factor: 6.053
Authors: Eleanor M Simonsick; Nancy W Glynn; Gerald J Jerome; Michelle Shardell; Jennifer A Schrack; Luigi Ferrucci Journal: J Am Geriatr Soc Date: 2016-06-02 Impact factor: 5.562
Authors: P-L Kuo; J A Schrack; M D Shardell; M Levine; A Z Moore; Y An; P Elango; A Karikkineth; T Tanaka; R de Cabo; L M Zukley; M AlGhatrif; C W Chia; E M Simonsick; J M Egan; S M Resnick; L Ferrucci Journal: J Intern Med Date: 2020-02-27 Impact factor: 13.068
Authors: Fangyu Liu; Amal A Wanigatunga; Pei-Lun Kuo; Vadim Zipunnikov; Eleanor M Simonsick; Luigi Ferrucci; Jennifer A Schrack Journal: J Gerontol A Biol Sci Med Sci Date: 2021-09-13 Impact factor: 6.053
Authors: Yujia Qiao; Amal A Wanigatunga; Yang An; Fangyu Liu; Adam P Spira; Christos Davatzikos; Qu Tian; Eleanor M Simonsick; Luigi Ferrucci; Susan M Resnick; Jennifer A Schrack Journal: Sci Rep Date: 2022-04-19 Impact factor: 4.996
Authors: Helena Silva-Migueis; Eva María Martínez-Jiménez; Israel Casado-Hernández; Adriano Dias; Ana Júlia Monteiro; Rodrigo B Martins; Carlos Romero-Morales; Daniel López-López; Juan Gómez-Salgado Journal: Biology (Basel) Date: 2022-08-05
Authors: Yujia Susanna Qiao; Theresa Gmelin; Sharon W Renner; Robert M Boudreau; Sarah Martin; Mary K Wojczynski; Kaare Christensen; Stacy L Andersen; Stephanie Cosentino; Adam J Santanasto; Nancy W Glynn Journal: J Gerontol A Biol Sci Med Sci Date: 2021-09-13 Impact factor: 6.053