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Walking Cadence and Mortality Among Community-Dwelling Older Adults

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ABSTRACT

BACKGROUND

Older adults are encouraged to walk ≥100 steps∙minute−1 for moderate-intensity physical activity (i.e., brisk walking). It is unknown if the ability to walk ≥100 steps∙minute−1 predicts mortality.

OBJECTIVE

To determine if the ability to walk ≥100 steps∙minute−1 predicts mortality among older adults.

DESIGN, SETTING, AND PATIENTS

A population-based cohort study among 5,000 older adults from the Third National Health and Nutrition Survey (NHANES III; 1988–1994). Vital status and cause of death were collected through December 31, 2006. Median follow-up was 13.4 years. Average participant age was 70.6 years.

MEASUREMENTS

Walking cadence (steps∙minute−1) was calculated using a timed 2.4-m walk. Walking cadence was dichotomized at 100 steps∙minute−1 (≥100 steps∙minute−1 versus <100 steps∙minute−1) to demarcate the lower threshold of absolutely defined moderate-intensity physical activity. Walking cadence was also analyzed as a continuous variable. Predicted survival was compared between walking cadence and gait speed. The primary outcome was all-cause mortality. Secondary outcomes included cardiovascular-specific and cancer-specific mortality and mortality from other causes.

RESULTS

Among 5,000 participants, 3,039 (61 %) walked ≥100 steps∙minute−1. During follow-up, 3,171 subjects died. In multivariable-adjusted analysis, ability to walk ≥100 steps∙minute−1 predicted a 21 % reduction in all-cause mortality (hazard ratio [HR], 0.79; 95 % confidence interval [95 % CI], 0.71–0.89, p < 0.001). Each ten-step increase in walking cadence predicted a 4 % reduction in all-cause mortality (HR, 0.96, [0.94–0.98], p < 0.001). In secondary analyses, ability to walk ≥100 steps∙minute−1 predicted reductions in cardiovascular-specific mortality (HR, 0.79 [0.67–0.92], p = 0.002), cancer-specific mortality (HR, 0.76 [0.58–0.99], p = 0.050), and mortality from other causes (HR, 0.82 [0.68–0.97], p = 0.025). Predicted survival, adjusted for age and sex, was not different using walking cadence versus gait speed.

LIMITATIONS

Walking cadence was a cross-sectional measurement.

CONCLUSIONS

The ability to walk ≥100 steps∙minute−1 predicts a reduction in mortality among a sample of community-dwelling older adults.

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REFERENCES

  1. Vincent GK, Velkoff VA. The Next Four Decades: The Older Population in the United States: 2010 to 2050. Current Population Reports. Washington, DC: US Department of Commerce, Economics and Statistics Administration, US Census Bureau; 2010:P25-1138.

    Google Scholar 

  2. Manton KG, Vaupel JW. Survival after the age of 80 in the united states, Sweden, France, England, and Japan. N Engl J Med. 1995;333(18):1232–1235.

    Article  CAS  PubMed  Google Scholar 

  3. Katz S, Branch LG, Branson MH, Papsidero JA, Beck JC, Greer DS. Active life expectancy. N Engl J Med. 1983;309(20):1218–1224.

    Article  CAS  PubMed  Google Scholar 

  4. Walston J, Hadley EC, Ferrucci L, et al. Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the american geriatrics Society/National institute on aging research conference on frailty in older adults. J Am Geriatr Soc. 2006;54(6):991–1001.

    Article  PubMed  Google Scholar 

  5. Lonergan ET, Krevans JR. A national agenda for research on aging. N Engl J Med. 1991;324(25):1825–1828.

    Article  CAS  PubMed  Google Scholar 

  6. Guralnik JM, Simonsick EM, Ferrucci L, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):M85–M94.

    Article  CAS  PubMed  Google Scholar 

  7. Newman AB, Simonsick EM, Naydeck BL, et al. Association of long-distance corridor walk performance with mortality, cardiovascular disease, mobility limitation, and disability. JAMA. 2006;295(17):2018–2026.

    Article  CAS  PubMed  Google Scholar 

  8. Nelson ME, Rejeski WJ, Blair SN, et al. Physical activity and public health in older adults: recommendation from the american college of sports medicine and the american heart association. Med Sci Sports Exerc. 2007;39(8):1435.

    Article  PubMed  Google Scholar 

  9. King AC, Rejeski WJ, Buchner DM. Physical activity interventions targeting older adults: a critical review and recommendations. Am J Prev Med. 1998;15(4):316–333.

    Article  CAS  PubMed  Google Scholar 

  10. United States. Public Health Service. Office of the Surgeon General, National Center for Chronic Disease Prevention, Health Promotion (US), President’s Council on Physical Fitness, Sports (US). Physical Activity and Health: A Report of the Surgeon. Jones & Bartlett Learning; 1996.

  11. LIFE Study Investigators, Pahor M, Blair SN, et al. Effects of a physical activity intervention on measures of physical performance: results of the lifestyle interventions and independence for elders pilot (LIFE-P) study. J Gerontol A Biol Sci Med Sci. 2006;61(11):1157–1165.

    PubMed  Google Scholar 

  12. Tudor-Locke C, Craig CL, Aoyagi Y, et al. How many steps/day are enough for older adults and special populations? Int J Behav Nutr Phys Act. 2011;8(1):80.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Marshall SJ, Levy SS, Tudor-Locke CE, et al. Translating physical activity recommendations into a pedometer-based step goal: 3000 steps in 30 minutes. Am J Prev Med. 2009;36(5):410–415.

    Article  PubMed  Google Scholar 

  14. Bouchard DR, Langlois M, Boisvert-Vigneault K, Farand P, Paulin M, Baillargeon J. Pilot study: can older inactive adults learn how to reach the required intensity of physical activity guideline? Clin Interv Aging. 2013;8:501–508.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Bravata DM, Smith-Spangler C, Sundaram V, et al. Using pedometers to increase physical activity and improve health. JAMA. 2007;298(19):2296–2304.

    Article  CAS  PubMed  Google Scholar 

  16. McKay J, Wright A, Lowry R, Steele K, Ryde G, Mutrie N. Walking on prescription: the utility of a pedometer pack for increasing physical activity in primary care. Patient Educ Couns. 2009;76(1):71–76.

    Article  PubMed  Google Scholar 

  17. Eakin EG, Brown WJ, Marshall AL, Mummery K, Larsen E. Physical activity promotion in primary care: bridging the gap between research and practice. Am J Prev Med. 2004;27(4):297–303.

    PubMed  Google Scholar 

  18. Eakin EG, Glasgow RE, Riley KM. Review of primary care-based physical activity intervention studies. J Fam Pract. 2000;49(2):158–168.

    CAS  PubMed  Google Scholar 

  19. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50–58.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  20. Plan and operation of the third national health and nutrition examination survey, 1988–94. series 1: Programs and collection procedures. Vital Health Stat 1. 1994;(32)(32):1–407.

  21. Ostchega Y, Harris TB, Hirsch R, Parson VL, Kington R, Katzoff M. Reliability and prevalence of physical performance examination assessing mobility and balance in older persons in the US: data from the third national health and nutrition examination survey. J Am Geriatr Soc. 2000;48(9):1136–1141.

    CAS  PubMed  Google Scholar 

  22. Rogot E, Sorlie P, Johnson NJ. Probabilistic methods in matching census samples to the national death index. J Chron Dis. 1986;39(9):719–734.

    Article  CAS  PubMed  Google Scholar 

  23. World Health Organization. ICD-10: International Statistical Classification of Diseases and Related Health Problems. World Health Organization; 2004.

  24. Harrell FE. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer; 2001.

  25. Apfel CC, Kranke P, Greim CA, Roewer N. What can be expected from risk scores for predicting postoperative nausea and vomiting? Br J Anaesth. 2001;86(6):822–827.

    Article  CAS  PubMed  Google Scholar 

  26. Korn EL, Graubard BI. Epidemiologic studies utilizing surveys: accounting for the sampling design. Am J Public Health. 1991;81(9):1166–1173.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  27. Salzman B. Gait and balance disorders in older adults. Am Fam Physician. 2010;82(1):61–68.

    PubMed  Google Scholar 

  28. Tudor-Locke C, Camhi SM, Leonardi C, et al. Patterns of adult stepping cadence in the 2005–2006 NHANES. Prev Med. 2011;53(3):178–181.

    Article  PubMed  Google Scholar 

  29. Silver KH, Macko RF, Forrester LW, Goldberg AP, Smith GV. Effects of aerobic treadmill training on gait velocity, cadence, and gait symmetry in chronic hemiparetic stroke: a preliminary report. Neurorehabil Neural Repair. 2000;14(1):65–71.

    Article  CAS  PubMed  Google Scholar 

  30. Hardy SE, Perera S, Roumani YF, Chandler JM, Studenski SA. Improvement in usual gait speed predicts better survival in older adults. J Am Geriatr Soc. 2007;55(11):1727–1734.

    Article  PubMed  Google Scholar 

  31. Yates T, Haffner SM, Schulte PJ, et al. Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis. Lancet. 2014;383(9922):1059–1066.

    Article  PubMed  Google Scholar 

  32. Drillis R. Objective recording and biomechanics of pathological gait. Ann N Y Acad Sci. 1958;74(1):86–109.

    Article  CAS  PubMed  Google Scholar 

  33. Wass E, Taylor NF, Matsas A. Familiarisation to treadmill walking in unimpaired older people. Gait Posture. 2005;21(1):72–79.

    Article  PubMed  Google Scholar 

  34. Dean CM, Richards CL, Malouin F. Walking speed over 10 metres overestimates locomotor capacity after stroke. Clin Rehabil. 2001;15(4):415–421.

    Article  CAS  PubMed  Google Scholar 

  35. Ezzati TM, Massey J, Waksberg J, Chu A, Maurer K. Sample design: Third national health and nutrition examination survey. Vital and health statistics.Series 2, Data evaluation and methods research. 1992(113):1–35.

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ACKNOWLEDGEMENTS

Justin C. Brown had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Meera N. Harhay has received training grants (5T32DK007006-38 and F32DK096758-01) from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Michael O. Harhay is supported as a pre-doctoral fellow by National Cancer Institute (NCI) grant R01 CA159932. Justin C. Brown is supported as a pre-doctoral fellow by NCI grant U54 CA155850. This study was completed without funding.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

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Correspondence to Justin C. Brown MA.

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Brown, J.C., Harhay, M.O. & Harhay, M.N. Walking Cadence and Mortality Among Community-Dwelling Older Adults. J GEN INTERN MED 29, 1263–1269 (2014). https://doi.org/10.1007/s11606-014-2926-6

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  • DOI: https://doi.org/10.1007/s11606-014-2926-6

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