Skip to main content
SpringerLink
Log in

The Demographics of Disability and Mobility Limitations

  • Chapter
  • First Online:
Advances in Exercise and Health for People With Mobility Limitations

  • 650 Accesses

Abstract

Approximately one billion people worldwide live with a disability, including 57 million Americans. Whereas much of the disability research literature has focused upon Americans with mobility limitations, we provide a focus on distribution and prevalence/abundance of disability, especially mobility limitations globally. This focus addresses needs as well as disparities across health, exercise, nutrition, and other major life sectors, barriers that exist in every society. Our focus utilizes the holistic, biopsychosocial International Classification of Functioning, Disability, and Health (ICF) to evaluate levels of disability, given current difficulties in identifying disability across nationally “representative” surveys of population health.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

ACS:

American Community Survey

BMI:

Body mass index

CDC:

US Centers for Disease Control and Prevention

DHHS:

US Department of Health and Human Services

GIS:

Geographic Information Systems

HDL:

High-density lipoprotein (cholesterol)

HPSA:

Health Professional Shortage Area

HRSA:

Health Resources Services Administration

ICD:

International Classification of Diseases

ICDR:

Interagency Committee on Disability Research

ICF:

International Classification of Functioning, Disability and Health

IRT:

Item response theory

LDL:

Low-density lipoprotein (cholesterol)

LSVRSP:

Longitudinal Study of Vocational Rehabilitation Services Programs

NELS:

National Education Longitudinal Study of 1988–2000

NHANES:

National Health and Nutrition Examination Survey

NIDILRR:

National Institute on Disability, Independent Living, and Rehabilitation Services

NIH:

National Institutes of Health

RSA:

Rehabilitation Services Administration

SSDI:

Social Security Disability Insurance

TBI:

Traumatic brain injury

UN:

United Nations

VR:

Vocational rehabilitation

WHO:

World Health Organization

YRBSS:

Youth Risk Behavior Surveillance Survey

References

  • Bor, J. (2017). Diverging life expectancies and voting patterns in the 2016 US presidential election. American Journal of Public Health, 107(10), 1560–1562.

    Article  Google Scholar 

  • Case, A., & Deaton, A. (2015). Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proceedings of the National Academy of Sciences USA, 112(49), 15078–15083.

    Article  CAS  Google Scholar 

  • Christian, J. J., & Davis, D. E. (1956). The relationship between adrenal weight and population status of urban Norway rats. Journal of Mammalogy, 37(4), 475–486.

    Article  Google Scholar 

  • Christian, J. J., & Davis, D. E. (1964). Endocrines, behavior, and population. Science, 146(3651), 1550–1560.

    Article  CAS  Google Scholar 

  • Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. Forth Worth: Harcourt Brace Jovanovich.

    Google Scholar 

  • Department of Health and Human Services. (2017). Lists of designated primary medical care, mental health, and dental health professional shortage areas. Federal Register, 82(121), 28863–28864.

    Google Scholar 

  • Erwin, P. C. (2017). Despair in the American heartland? A focus on rural health. American Journal of Public Health, 107(10), 1533–1534.

    Article  Google Scholar 

  • Health Resources Services Administration. (2018). Designated health professional shortage areas statistics, first quarter of fiscal year 2018 designated HPSA quarterly summary as of December 31, 2017. Washington, DC: Bureau of Health Workforce, Health Resources Services Administration, U.S. Department of Health and Human Services.

    Google Scholar 

  • Heinemann, A. W., Corrigan, J. D., & Moore, D. (2004). Case management for traumatic brain injury survivors with alcohol problems. Rehabilitation Psychology, 49(2), 156–166.

    Article  Google Scholar 

  • Hollar, D. & Moore, D. (2004). Relationship of substance use by students with disabilities to long-term educational and social outcomes. Substance Use & Misuse, 39(6), 929–960.

    Article  Google Scholar 

  • Hollar, D.W. (2005). Risk Behaviors for Varying Categories of Disability in NELS:88. Journal of School Health, 75(9), 350–358.

    Article  Google Scholar 

  • Hollar, D. (2013). Cross-sectional patterns of allostatic load among persons with varying disabilities, NHANES: 2001–2010. Disability and Health Journal, 6, 177–187.

    Article  Google Scholar 

  • Hollar, D. (2017a). Trajectory analysis in health care. New York: Springer Nature http://www.springer.com/us/book/9783319596259.

    Google Scholar 

  • Hollar, D. (2017b). Disability and health outcomes in geospatial analyses of Southeastern U.S. county health data. Disability and Health Journal, 10, 518–524.

    Article  Google Scholar 

  • Hollar, D., & Lewis, J. (2015). Heart age differentials and general cardiovascular risk profiles for persons with varying disabilities: NHANES 2001–2010. Disability and Health Journal, 8, 51–60. https://doi.org/10.1016/j.dhjo.2014.07.007.

    Article  Google Scholar 

  • Hollar, D., McAweeney, M., & Moore, D. (2007, October 16–17). Factors that contribute to unsuccessful case closures among consumers of vocational rehabilitation services. Alexandria: SARDI/NIDRR Rehabilitation Research and Training Center on Substance Use, Disability and Employment State of the Science Conference.

    Google Scholar 

  • Hollar, D., McAweeney, M., & Moore, D. (2008). The relationship between substance use disorders and unsuccessful case closures in vocational rehabilitation agencies. Journal of Applied Rehabilitation Counseling, 39(2), 25–29.

    Google Scholar 

  • Hosain, G. M., Atkinson, D., & Underwood, P. (2002). Impact of disability on quality of life of rural disabled people in Bangladesh. Journal of Health, Population, and Nutrition, 20(4), 297–305.

    PubMed  Google Scholar 

  • Houtenville, A., Brucker, D., Gould, P., Lauer, E., Santoro, J., Brennan-Curry, A., & Gianino, M. (2013). 2013 annual disability statistics compendium. Durham: Disability Statistics & Demographics Rehabilitation Research and Training Center, Institute on Disability, University of New Hampshire.

    Google Scholar 

  • Isaacs, S. L., & Schroeder, S. A. (2004). Class – The ignored determinant of the nation’s health. The New England Journal of Medicine, 351(11), 1137–1141.

    Article  CAS  Google Scholar 

  • Kotas, M. E., & Medzhitov, R. (2015). Homeostasis, inflammation, and disease susceptibility. Cell, 160(5), 816–827.

    Article  CAS  Google Scholar 

  • Messick, S. (1988). Validity. In R. L. Linn (Ed.), Educational measurement (3rd ed.). New York: American Council on Education/Macmillan.

    Google Scholar 

  • NIDILRR. (2017). NIDILRR Long Range Plan, 2018–2023. Washington, DC: Administration for Community Living, U.S. Department of Health and Human Services.

    Google Scholar 

  • Roux, A. V. D. (2017). Despair as a cause of death: More complex than it first appears. American Journal of Public Health, 107(10), 1566–1567.

    Article  Google Scholar 

  • Rowan, K., McAlpine, D., & Blewett, L. (2013). Access and cost barriers to mental health care by insurance status, 1999 to 2010. Health Affairs (Millwood), 32(10), 1723–1730.

    Article  Google Scholar 

  • Seeman, T. E., McEwen, B. S., Rowe, J. W., & Singer, B. H. (2001). Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful aging. Proceedings of the National Academy of Sciences USA, 98(8), 4770–4775.

    Article  CAS  Google Scholar 

  • Seeman, T. E., Singer, B. H., Ryff, C. D., Love, G. D., & Levy-Storms, L. (2002). Social relationships, gender, and allostatic load across two age cohorts. Psychosomatic Medicine, 64, 395–406.

    Article  Google Scholar 

  • Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S. (2010). Socio-economic differentials in peripheral biology: Cumulative allostatic load. Annals of the New York Academy of Sciences, 1186, 223–239.

    Article  Google Scholar 

  • Selye, H. (1950). Stress and the general adaptation syndrome. British Medical Journal, 1(4667), 1382–1392.

    Article  Google Scholar 

  • Stein, E. M., Gennuso, K. P., Ugboaja, D. C., & Remington, P. L. (2017). The epidemic of despair among white Americans: Trends in the leading causes of premature death, 1999–2015. American Journal of Public Health, 107(10), 1541–1547.

    Article  Google Scholar 

  • United Nations. (2017). United Nations enable: Fact sheet on persons with disabilities. New York: Author.

    Google Scholar 

  • World Health Organization. (1990). The international classification of diseases, version 10. Geneva: Author.

    Google Scholar 

  • World Health Organization. (2001). The international classification of functioning, disability and health. Geneva: Author.

    Google Scholar 

  • World Health Organization. (2011). World report on disability. Geneva: Author.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Health Administration, Pfeiffer University, Misenheimer, NC, USA

    David Hollar

Authors
  1. David Hollar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Hollar .

Editor information

Editors and Affiliations

  1. Health Administration, Pfeiffer University, Misenheimer, NC, USA

    David Hollar

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hollar, D. (2019). The Demographics of Disability and Mobility Limitations. In: Hollar, D. (eds) Advances in Exercise and Health for People With Mobility Limitations. Springer, Cham. https://doi.org/10.1007/978-3-319-98452-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-98452-0_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98451-3

  • Online ISBN: 978-3-319-98452-0

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics

Search

Navigation