1. Proceedings
  2. I3M
  3. 2019
  4. IWISH
  5. 10.46354/i3m.2019.iwish.018

Modifiers of cardiovascular risk score on disability in the elderly

  • a Laura Aponte-Becerra  , 
  • b Jorge A. Trevino  , 
  • c Stephanie Buss  , 
  • d Long Ngo  , 
  • e Regina McGlinchey  , 
  • f Catherine Fortier  , 
  • g Peter Novak  , 
  • g Christos Mantzoros  , 
  • h Vera Novak  
  • aDepartment of Neurology, SAFE Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA., USA
  • bCognitive Neurology Unit, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA., USA
  • cDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA., USA
  • dTranslational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA., USA
  • eAutonomic Laboratory, Department of Neurology, Brigham and Women's Faulkner Hospital, Harvard Medical School, Boston, MA., USA
  • fBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA., USA
Cite as
Aponte-Becerra L., Trevino J. A., Buss S., Ngo L., McGlinchey R., Fortier C., Novak P., Mantzoros C., Novak V. (2019). Modifiers of cardiovascular risk score on disability in the elderly. Proceedings of the 8th International Workshop on Innovative Simulation for Healthcare (IWISH 2019), pp. 109-113. DOI: https://doi.org/10.46354/i3m.2019.iwish.018

Abstract

Cardiovascular disease (CVD) affects daily living functionality, cognitive ability, and mood. We evaluated the effects of a CVD risk score on disability and assessed the characteristics that may modify this relationship in 192 older adults (mean age: 65.6 years, 96 women). WHODAS 2.0 was used to measure global disability and mobility difficulty. Framingham Risk Score (FRS) was used to predict 10-year cardiovascular mortality risk. Sociodemographic characteristics, mental status, overall mood, and gait speed were evaluated for their potential modification of the effect of FRS on WHODAS. We used general linear models to estimate the main effect and interaction effects for the modifiers. A higher effect of FRS was significantly associated with worse WHODAS total score and mobility subscore. We found female gender, younger age, higher IQ, more years of education, higher MMSE, faster gait speed, and higher GDS to be potential effect modifiers.

References

  1. World Health Organization. (2018, February 5). Ageing and health. Retrieved from:
    https://www.who.int/news-room/factsheets/ detail/ageing-and-health.
  2. Algilani, S., Östlund-Lagerström, L., Kihlgren, A., Blomberg, K., Brummer, R.J., Schoultz, I., 2014.
    Exploring the concept of optimal functionality in old age. J Multidiscip Healthc 7, 69–79.
  3. Bright, P., 2018. Comparison of methods for estimating premorbid intelligence. Neuropsychological Rehabilitation
  4. De Nardi, M., French, E., Jones, J.B., McCauley, J., 2015. Medical Spending of the U.S. Elderly
    (Working Paper No. 21270). National Bureau of Economic Research.
  5. Dumas, J.A., 2017. Strategies for Preventing Cognitive Decline in Healthy Older Adults. Can J Psychiatry 62, 754–760.
  6. Canadian Cardiovascular Society. Framingham Risk Score Worksheet. (2017). Calculators and
    Forms. Retrieved from: https://www.ccs.ca/images/Guidelines/Tools_a
    nd_Calculators_En/FRS_eng_2017_fnl1.pdf
  7. Keil, J.E., Gazes, P.C., Sutherland, S.E., Rust, P.F., Branch, L.G., Tyroler, H.A., 1989. Predictors of
    physical disability in elderly blacks and whites of the Charleston Heart Study. J Clin Epidemiol 42, 521–529.
  8. Kojima, G., Liljas, A.E.M., Iliffe, S., 2019. Frailty syndrome: implications and challenges for health
    care policy. Risk Manag Healthc Policy 12, 23–30.
  9. Lopes, M.J., Escoval, A., Pereira, D.G., Pereira, C.S., Carvalho, C., Fonseca, C., 2013. Evaluation of
    elderly persons’ functionality and care needs. Rev Lat Am Enfermagem 21 Spec No, 52–60.
  10. Manini, T., 2011. Development of physical disability in older adults. Curr Aging Sci 4, 184–191.
  11. Martínez-González Miguel A., Gea Alfredo, Ruiz- Canela Miguel, 2019. The Mediterranean Diet and Cardiovascular Health. Circulation Research 124, 779–798.
  12. Myers, J., 2003. Exercise and Cardiovascular Health Circulation 107.
  13. National Institutes of Health. Disability in Older Adults. (2010, October). NIH Fact Sheets. Retrieved from: https://report.nih.gov/nihfactsheets/ViewFactSheet .aspx?csid=37
  14. Pinsky, J.L., Leaverton, P.E., Stokes, J., 1987. Predictors of good function: the Framingham
    Study. J Chronic Dis 40 Suppl 1, 159S-167S, 181S–2.
  15. Rice, D.P., Fineman, N., 2004. Economic implications of increased longevity in the United States. Annu Rev Public Health 25, 457–473.