“Feeling younger, walking faster”: subjective age and walking speed in older adults
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Walking speed is a key vital sign in older people. Given the implications of slower gait speed, a large literature has identified health-related, behavioral, cognitive, and biological factors that moderate age-related decline in mobility. The present study aims to contribute to existing knowledge by examining whether subjective age, how old or young individuals experience themselves to be relative to their chronological age, contributes to walking speed. Participants were drawn from the 2008 and 2012 waves of the Health and Retirement Study (HRS, N = 2970) and the 2011 and 2013 waves of the National Health and Aging Trends Study (NHATS, N = 5423). In both the HRS and the NHATS, linear regression analysis revealed that a younger subjective age was associated with faster walking speed at baseline and with less decline over time, controlling for age, sex, education, and race. These associations were partly accounted for by depressive symptoms, disease burden, physical activity, cognition, body mass index, and smoking. Additional analysis revealed that feeling younger than one’s age was associated with a reduced risk of walking slower than the frailty-related threshold of 0.6 m/s at follow-up in the HRS. The present study provides novel and consistent evidence across two large prospective studies for an association between the subjective experience of age and walking speed of older adults. Subjective age may help identify individuals at risk for mobility limitations in old age and may be a target for interventions designed to mitigate functional decline.
KeywordsSubjective age Walking speed Mobility
- Bootsma-van der Wiel A, Gussekloo J, De Craen AJ, Van Exel E, Bloem BR, Westendorp RG (2002) Common chronic diseases and general impairments as determinants of walking disability in the oldest-old population. J Am Geriatr Soc 50:1405–1410. doi: 10.1046/j.1532-5415.2002.50363.x CrossRefPubMedGoogle Scholar
- Chalabaev A, Emile M, Corrion K, Stephan Y, Clément-Guillotin C, Pradier C, d'Arripe-Longueville F (2013) Development and validation of the aging stereotypes and exercise scale. J Aging Physical Act 21:319–334Google Scholar
- Cesari M, Kritchevsky SB, Newman AB, Simonsick EM, Harris TB, Penninx BW, Brach JS, Tylavsky FA, Satterfield S, Bauer DC, Rubin SM, Visser M, Pahor M (2009) Added value of physical performance measures in predicting adverse health-related events: results from the health, aging and body composition study. J Am Geriatr Soc 57:251–259. doi: 10.1111/j.1532-5415.2008.02126.x PubMedCentralCrossRefPubMedGoogle Scholar
- Crimmins E, Faul J, Kim JK, Guyer H, Langa K, Ofstedal MB, Sonnega A, Wallace R, Weir D (2013) Documentation of biomarkers in the 2006 and 2008 health and retirement study. Survey Research Center, University of Michigan, Ann Arbor, MIGoogle Scholar
- Haight TJ, van der Laan MJ, Manini T, Tager IB (2013) Direct effects of leisure-time physical activity on walking speed. J Nutr Health Aging 17:666–673. doi: 0.1007/s12603-013-0024-9
- Kasper JD, Freedman, VA, Niefeld M (2012) Construction of performance based summary measures of physical capacity in the National Health and Aging Trends Study (NHATS). NHATS technical paper #4. Baltimore, MD: Johns Hopkins University School of Public Health.Google Scholar
- Stephan Y, Sutin AR, Terracciano A (2015b) How old do you feel? The role of age discrimination and biological aging in subjective age. Plos One 10: e0119293. doi: 10.1371/journal.pone.0119293.
- Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, Brach J, Chandler J, Cawthon P, Connor EB, Nevitt M, Visser M, Kritchevsky S, Badinelli S, Harris T, Newman AB, Cauley J, Ferrucci L, Guralnik J (2011) Gait speed and survival in older adults. JAMA 305:50–58. doi: 10.1001/jama.2010.1923 PubMedCentralCrossRefPubMedGoogle Scholar
- Wallace R, Herzog AR, Ofstedal MB, Steffick D, Fonda S, Langa K (2000) Documentation of affective functioning measures in the health and retirement study. Survey Research Center, University of Michigan, Ann Arbor, MIGoogle Scholar
- White DK, Neogi T, Nevitt MC, Peloquin CE, Zhu Y, Boudreau RM, Cauley JA, Ferrucci L, Harris TB, Satterfield SM, Simonsick EM, Strotmeyer ES, Zhang Y (2013) Trajectories of gait speed predict mortality in well-functioning older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 68:456–464. doi: 10.1093/gerona/gls197 PubMedCentralCrossRefPubMedGoogle Scholar