Physical Activity Level and Physical Functionality in Nonagenarians Compared to Individuals Aged 60-74 Years

Frisard, Madlyn I.; Fabre, J; Russell, Ryan; King, Christina M.; DeLany, James P.; Wood, Robert H.; Ravussin, Éric

doi:10.1093/gerona/62.7.783

Cited by 59 publications

(50 citation statements)

References 27 publications

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“…Eight hundred and seventyseven individuals participated in some aspect of the LHAS project, including >250 subjects who were nonagenarians (Q90 years old). Recruitment of subjects for the LHAS has been described elsewhere (Frisard et al 2007). After individuals were screened and enrolled in the main project, eligibility was then determined for various ancillary projects.…”

Section: Participant Recruitmentmentioning

confidence: 99%

Development of a serum profile for healthy aging

Byerley

Leamy

Tam

et al. 2010

AGE

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Increasing numbers of Americans are reaching 85 years of age or older, yet there are no reliable biomarkers to predict who will live this long. The goal of this pilot study therefore was: (1) to identify a potential serum pattern that could identify proteins involved in longevity and (2) to determine if this pattern was a marker of longevity in an independent sample of individuals. Serum samples were analyzed in three cohorts of individuals (n=12 in each) aged 20-34, 60-74, and Q90 years who participated in The Louisiana Healthy Aging Study.The 12 most abundant proteins were removed and the remaining proteins separated by two-dimensional gel electrophoresis. Gels were matched and the intensity of each spot quantified. Multivariate discriminant analysis was used to identify a serum pattern that could separate these three age cohorts. Seven protein spots were found that correctly distinguished the subjects into the three groups. However, these spots were not as successful in discriminating the ages in a second set of 15 individuals as only eight of these subjects were placed into their correct group. These preliminary results show that the proteomics approach can be used to identify potential proteins or markers that may be involved in the aging process and/or be important determinants of longevity.

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Section: Participant Recruitmentmentioning

confidence: 99%

Development of a serum profile for healthy aging

Byerley

Leamy

Tam

et al. 2010

AGE

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“…Individuals with depressive symptoms show greater decline in 6-minute walk distance, fast walking velocity and the SPPB summary score in comparison to those with no depressive symptoms (8). Nonagenarians perform poorly on the Reduced Continuous Scale-Physical Function Performance Test compared to more active older adults between the ages of 60–74 years, an effect that is correlated with lower levels of PA (9). Finally, polypharmacy is common in older adults and, depending on the drug class, may be related to physical function decline (10).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Physical Functioning and Physical Activity in the Lifestyle Interventions and Independence for Elders Pilot

Chalé-Rush

Guralnik

Walkup

et al. 2010

J American Geriatrics Society

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OBJECTIVES-To determine if participation in usual moderate-intensity or more vigorous physical activity (MVPA) is associated with physical function performance and to identify sociodemographic, psychosocial and disease-related covariates that may also compromise physical function performance. DESIGN-Cross-sectional analysis of baseline variables of randomized controlled intervention trial. ACR -analysis and interpretation of data, and preparation of manuscript. JMG -concept and design, acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. MPW, MEM -concept and design, analysis and interpretation of data, and review and editing of manuscript. WJR -acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. JAK -acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. ACK -concept and design, acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. NWG -acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. SNB -concept and design, acquisition of subjects and/or data, analysis and interpretation of data, and review and editing of manuscript. RAF -concept and design, analysis and interpretation of data, and review and editing of manuscript. RESULTS-The SPPB summary score was associated with minutes of MVPA (ρ = 0.16, P = 0.001). In multiple regression analyses, age, minutes of MVPA, number of medications and depressive symptoms were associated with performance on the composite SPPB (P < 0.05). There was an association between 400 m walk time and minutes of MVPA (ρ = −0.18; P = 0.0002). In multiple regression analyses, age, gender, minutes of MVPA, BMI and number of medications were associated with performance on the 400 m walk test (P < 0.05). SETTING-Four NIH Public AccessCONCLUSION-Minutes of MVPA, gender, BMI, depressive symptoms, age, and number of medications are associated with physical function performance and all should be taken into consideration in the prevention of mobility-disability.

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“…In healthy individuals, preferred gait speed remains remarkably constant between 1.1 and 1.3 m/s over much of the adult life span in the absence of disease . In unhealthy individuals, gait speed is a strong predictor of impending death and disability and may represent the progression of multisystem decline, and subclinical disease .…”

mentioning

confidence: 99%

The Role of Energetic Cost in the Age‐Related Slowing of Gait Speed

Schrack¹,

Simonsick

Chaves³

et al. 2012

J American Geriatrics Society

100

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Objectives Slow walking speed is strongly associated with older age, but mechanisms underlying this relationship are not well-understood. We hypothesize that slow gait represents a compensatory strategy to reduce the energetic cost of walking with age. Design Cross-sectional analysis. Setting Community-dwelling volunteers from the Baltimore Longitudinal Study of Aging (BLSA). Participants 420 community-dwelling persons aged 32 to 96 (mean 68.1 ± 12.5) who underwent a physical examination, physical function testing, and energy expenditure assessment. Measurements Energy expenditure per minute (ml/kg/min) and per meter (ml/kg/m) during 2.5 minutes of overground walking at customary speed, and usual gait speed over six meters (m/s) were examined. General linear regression models were used to assess the relationship between customary walking energy expenditure and usual gait speed, adjusted for potential confounders including smoking, medical diagnoses, walking-related pain, and balance difficulty. Results Usual gait speed was slower with increasing age after age 65. Energy expenditure per minute during customary walking averaged 13.0 ml/kg/min (± 2.8) and was independent of age (ρ < 0.01, p = .88). In contrast, energy expenditure per meter walked was progressively higher after age 65 (ρ = 0.35, p < .001) and heightened after age 80 (ρ = 0.57, p < .001), mirroring the observed pattern of usual gait speed. This relationship remained significant after adjusting for multiple impairments and comorbidities. Conclusion These observations support the hypothesis that slower gait at older ages may reflect a compensatory action to offset a greater energetic cost of walking associated with aging and chronic conditions. Future studies should evaluate the specific mechanisms that contribute to this phenomenon as novel targets for clinical intervention.

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Physical Activity Level and Physical Functionality in Nonagenarians Compared to Individuals Aged 60-74 Years

Cited by 59 publications

References 27 publications

Development of a serum profile for healthy aging

Development of a serum profile for healthy aging

Relationship Between Physical Functioning and Physical Activity in the Lifestyle Interventions and Independence for Elders Pilot

The Role of Energetic Cost in the Age‐Related Slowing of Gait Speed

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