Skip to main content
Log in

Vascular Risk Factor Burden, Atherosclerosis, and Functional Dependence in Old Age: A Population-Based Study

  • Published:
International Journal of Behavioral Medicine Aims and scope Submit manuscript

Abstract

Background

Vascular risk factors such as hypertension and obesity have been associated with physical limitations among older adults.

Purpose

The purpose of this study is to examine whether individual and aggregated vascular risk factors (VRFs) are associated with functional dependence and to what extent carotid atherosclerosis (CAS) or peripheral artery disease (PAD) may mediate the possible associations of aggregated VRFs with functional dependence.

Method

This cross-sectional study included 1,451 community-living participants aged ≥60 years in the Confucius Hometown Aging Project of China. Data on demographic features, hypertension, high total cholesterol, obesity, smoking, physical inactivity, diabetes, CAS, PAD, and cardiovascular diseases (CVDs) were collected through an interview, a clinical examination, and laboratory tests. Functional dependence was defined as being dependent in at least one activity in the personal or instrumental activities of daily living. Data were analyzed using multiple logistic models controlling for potential confounders. We used the mediation model to explore the potential mediating effect of CAS and PAD on the associations of aggregated VRFs with functional dependence.

Results

Of the 1,451 participants, 222 (15.3 %) had functional dependence. The likelihood of functional dependence increased linearly with increasing number of VRFs (hypertension, high total cholesterol, abdominal obesity, and physical inactivity) (p for trend <0.002). Mediation analysis showed that controlling for demographics and CVDs up to 11 % of the total association of functional dependence with clustering VRFs was mediated by CAS and PAD.

Conclusion

Aggregation of multiple VRFs is associated with an increased likelihood of functional dependence among Chinese older adults; the association is partially mediated by carotid and peripheral artery atherosclerosis independently of CVDs.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Daviglus ML, Stamler J, Pirzada A, Yan LJL, Garside DB, Liu K, et al. Favorable cardiovascular risk profile in young women and long-term risk of cardiovascular and all-cause mortality. JAMA. 2004;292:1588–92.

    Article  CAS  PubMed  Google Scholar 

  2. Ford ES, Li CY, Zhao GX, Pearson WS, Capewell S. Trends in the prevalence of low risk factor burden for cardiovascular disease among United States adults. Circulation. 2009;120:1181–8.

    Article  PubMed  Google Scholar 

  3. Sattelmair J, Pertman J, Ding EL, Kohl HW, Haskell W, Lee IM. Dose response between physical activity and risk of coronary heart disease: a meta-analysis. Circulation. 2011;124:789–95.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Atkinson HH, Cesari M, Kritchevsky SB, Penninx BW, Fried LP, Guralnik J, et al. Predictors of combined cognitive and physical decline. J Am Geriatr Soc. 2005;53:1197–202.

    Article  PubMed  Google Scholar 

  5. Dumurgier J, Elbaz A, Dufouil C, Tavernier B, Tzourio C. Hypertension and lower walking speed in the elderly: the Three-City study. J Hypertens. 2010;28:1506–14.

    Article  CAS  PubMed  Google Scholar 

  6. Volpato S, Blaum C, Resnick H, Ferrucci L, Fried LP, Guralnik. Comorbidities and impairments explaining the association between diabetes and lower extremity disability: The Women's Health and Aging Study. Diabetes Care. 2002;25:678–83.

    Article  PubMed  Google Scholar 

  7. Welmer A, Angleman S, Rydwik E, Fratiglioni L, Qiu C. Association of cardiovascular burden with mobility limitation among elderly people: a population-based study. PLoS One. 2013;31:e65815.

    Article  Google Scholar 

  8. Houston DK, Stevens J, Cai J. Abdominal fat distribution and functional limitations and disability in a biracial cohort: the Atherosclerosis Risk in Communities Study. Int J Obes. 2005;29:1457–63.

    Article  CAS  Google Scholar 

  9. O'Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson SKJ. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group. N Engl J Med. 1999;340:14–22.

    Article  PubMed  Google Scholar 

  10. Elbaz A, Ripert M, Tavernier B, Fevrier B, Zureik M, Gariepy J, et al. Common carotid artery intima-media thickness, carotid plaques, and walking speed. Stroke. 2005;36:2198–202.

    Article  PubMed  Google Scholar 

  11. den Ouden MEM, Schuurmans MJ, Mueller-Schotte S, Brand JS, van der Schouw YT. Domains contributing to disability in activities of daily living. J Am Med Dir Ass. 2013;14:18–24.

    Article  Google Scholar 

  12. Murabito JM, Evans JC, Larson MG, Nieto K, Levy D, Wilson PWF. The ankle-brachial index in the elderly and risk of stroke, coronary disease, and death: the Framingham study. Arch Intern Med. 2003;163:1939–42.

    Article  PubMed  Google Scholar 

  13. Kuo HK, Yu YH. The relation of peripheral arterial disease to leg force, gait speed, and functional dependence among older adults. J Gerontol A Bio Sci Med Sci. 2008;63:384–90.

    Article  Google Scholar 

  14. Ostchega Y, Paulose-Ram R, Dillon CF, Gu QP, Hughes JP. Prevalence of peripheral arterial disease and risk factors in persons aged 60 and older: data from the National Health and Nutrition Examination Survey 1999–2004. J Am Geriatr Soc. 2007;55:583–9.

    Article  PubMed  Google Scholar 

  15. Stensland-Bugge E, Bonaa KH, Joakimsen O. Age and sex differences in the relationship between inherited and lifestyle risk factors and subclinical carotid atherosclerosis: the Tromso study. Atherosclerosis. 2001;154:437–48.

    Article  CAS  PubMed  Google Scholar 

  16. Phan HM, Alpert JS, Fain M. Frailty, inflammation, and cardiovascular disease: evidence of a connection. Am J Geriatr Cardiol. 2008;17:101–7.

    PubMed  Google Scholar 

  17. Kattainen A, Koskinen S, Reunanen A, Martelin T, Knekt P, Aromaa A. Impact of cardiovascular diseases on activity limitations and need for help among older persons. J Clin Epidemiol. 2004;57:82–8.

    Article  PubMed  Google Scholar 

  18. Pugh KG, Lipsitz LA. The microvascular frontal-subcortical syndrome of aging. Neurobiol Aging. 2002;23:421–31.

    Article  PubMed  Google Scholar 

  19. Song A, Liang Y, Yan Z, Sun B, Cai C, Jiang H, et al. Highly prevalent and poorly controlled cardiovascular risk factors among Chinese elderly people living in the rural community. Eur J Prev Cardiol. 2013. doi:10.1177/2047487313487621.

    PubMed  Google Scholar 

  20. Kowal PCS, Naidoo N, Biritwum R, Fan W, Lopez Ridaura R, Maximova T, et al. Data resource profile: The World Health Organization Study on global AGEing and adult health (SAGE). Int J Epidemiol. 2012;41:1639–49.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Spector WD, Fleishman JA. Combining activities of daily living with instrumental activities of daily living to measure functional disability. J Gerontol B Psychol Sci Soc Sci. 1998;53:S46–57.

    Article  CAS  PubMed  Google Scholar 

  22. LaPlante MP. The classic measure of disability in activities of daily living is biased by age but an expanded IADL/ADL measure is not. J Gerontol B Psychol Sci Soc Sci. 2010;65:720–32.

    Article  PubMed  Google Scholar 

  23. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, et al. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289:2560–72.

    Article  CAS  PubMed  Google Scholar 

  24. Third Report of the National Cholesterol Education Program (NCEP). Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation. 2002;106:3143–4321.

    Google Scholar 

  25. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012;13:275–86.

    Article  CAS  PubMed  Google Scholar 

  26. Dong X, Liu Y, Yang J, Sun Y, Chen L. Efficiency of anthropometric indicators of obesity for identifying cardiovascular risk factors in a Chinese population. Postgrad Med J. 2011;87:251–6.

    Article  PubMed  Google Scholar 

  27. Rydwik E, Welmer AK, Kåreholt I, Angleman S, Fratiglioni L, Wang HX. Adherence to physical exercise recommendations in people over 65—the SNAC-Kungsholmen study. Eur J Public Health. 2013. doi:10.1093/eurpub/cks150.

    PubMed  Google Scholar 

  28. Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ. Translating the A1C assay into estimated average glucose values. Diabetes Care. 2008;31:1473–8.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. O'Leary DH, Polak JF, Wolfson SKJ, Bond MG, Bommer W, Sheth S, et al. Use of sonography to evaluate carotid atherosclerosis in the elderly: the Cardiovascular Health Study. Stroke. 1991;22:1155–63.

    Article  PubMed  Google Scholar 

  30. Grenon SM, Gagnon J, Hsiang Y. Video in clinical medicine. Ankle-brachial index for assessment of peripheral arterial disease. N Engl J Med. 2009;36(361):e340.

    Google Scholar 

  31. Hicks R, Tingley D. Causal mediation analysis. Stata J. 2011;11:605–19.

    Google Scholar 

  32. Maher V, O'Dowd M, Carey M, Markham C, Byrne A, Hand E, et al. Association of central obesity with early Carotid intima-media thickening is independent of that from other risk factors. Int J Obes. 2009;33:136–43.

    Article  CAS  Google Scholar 

  33. Sacco RL. Achieving ideal cardiovascular and brain health: opportunity amid crisis. Presidential Address at the American Heart Association 2010 Scientific Sessions. Circulation. 2011;123:2653–7.

    Article  PubMed  Google Scholar 

  34. Thijssen DHJ, Cable NT, Green DJ. Impact of exercise training on arterial wall thickness in humans. Clin Sci (Lond). 2012;122:311–22.

    Article  Google Scholar 

  35. Preacher KJ, Kelley K. Effect size measures for mediation models: quantitative strategies for communicating indirect effects. Psychol Methods. 2011;16:93–115.

    Article  PubMed  Google Scholar 

  36. Bots ML, Vanswieten JC, Breteler MMB, Dejong P, Vangijn J, Hofman A, et al. Cerebral white matter lesions and atherosclerosis in the Rotterdam study. Lancet. 1993;341:1232–7.

    Article  CAS  PubMed  Google Scholar 

  37. Zheng JJ, Delbaere K, Close JC, Sachdev PS, Lord SR. Impact of white matter lesions on physical functioning and fall risk in older people: a systematic review. Stroke. 2011;42:2086–90.

    Article  PubMed  Google Scholar 

  38. Hajjar I, Quach L, Yang F, Chaves PH, Newman AB, Mukamal K, et al. Hypertension, white matter hyperintensities, and concurrent impairments in mobility, cognition, and mood: the Cardiovascular Health Study. Circulation. 2011;123:858–65.

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

The Confucius Hometown Aging Project (CHAP) was supported in part by grants from the Department of Science and Technology (2008GG00221) and the Department of Health (2009-067) in Shandong, China and by the Young Scholar Grant for Strategic Research in Epidemiology at Karolinska Institutet, Stockholm, Sweden. We thank all CHAP participants for their contribution to the project and the CHAP Study Group for their collaboration in data collection and management. Dr. Welmer was supported in part by grants from the Stockholm County Council, and Dr. Qiu was supported by grants from Swedish Research Council and Karolinska Institutet, Stockholm, Sweden.

Conflict of Interest

The authors declare no conflicts of interest. The funding sources had no role in the study design, data collection, analysis, or interpretation of the results.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna-Karin Welmer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Welmer, AK., Liang, Y., Angleman, S. et al. Vascular Risk Factor Burden, Atherosclerosis, and Functional Dependence in Old Age: A Population-Based Study. Int.J. Behav. Med. 21, 597–604 (2014). https://doi.org/10.1007/s12529-013-9352-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12529-013-9352-8

Keywords

Navigation