Skip to main content

Advertisement

Log in

Individual and cumulative association of commonly used biomarkers on frailty: a cross-sectional analysis of the Mexican Health and Aging Study

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Frailty has been recognized as a common condition in older adults, however, there is scarce information on the association between frailty and commonly used biomarkers. The aim of this study was to assess the individual and cumulative association of biomarkers with frailty status. This is a cross-sectional analysis of the 2012 wave of the Mexican Health and Aging Study. A sub-sample of 60-year or older adults with anthropometric measurements was analyzed. Frailty was defined with a 31-item frailty index and those considered frail had a score ≥ 0.21. Biomarkers were further categorized as normal/abnormal and tested both one by one and grouped (according to their usual cutoff values). Adjusted logistic models were performed. A total of 1128 older adults were analyzed and their mean age was 69.45 years and 51.24% of them were women. 26.7% (n = 301) were categorized as frail. Individual biomarkers associated with frailty after adjusting for confounding were: hemoglobin [odds ratio (OR) 1.67, 95% confidence interval (CI) 1.13–2.46, p = 0.009], glycated hemoglobin (OR 2.04, 95% CI 1.54–2.7, p < 0.001) and vitamin D (OR 1.53, 95% CI 1.13–2.07, p = 0.005). Those with ≥ 4 abnormal biomarkers had an independent association with frailty when compared to those without any abnormal biomarker (OR 2.64, 95% CI 1.3–5.25, p = 0.005). Aside from the individual associations of specific biomarkers, our findings show that an incremental association of abnormal biomarkers increases the probability of frailty, accounting for the multidimensional nature of frailty and the possible interplay between components of the system that potentiate to give rise to a negative condition such as frailty.

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. Morley JE, Vellas B, Van Kan GA et al (2013) Frailty consensus: a call to action. J Am Med Dir Assoc 14:392–397

    Article  Google Scholar 

  2. Mitnitski A, Song X, Rockwood K (2013) Assessing biological aging: the origin of deficit accumulation. Biogerontology 14:709–717

    Article  Google Scholar 

  3. Rockwood K, Theou O, Mitnitski A (2015) What are frailty instruments for? Age Ageing 44:545–547

    Article  Google Scholar 

  4. Walston J, Hadley EC, Ferrucci L et al (2006) 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 54:991–1001

    Article  Google Scholar 

  5. Carpenter CR, Shelton E, Fowler S et al (2015) Risk factors and screening instruments to predict adverse outcomes for undifferentiated older emergency department patients: a systematic review and meta-analysis. Acad Emerg Med 22:1–21

    Article  Google Scholar 

  6. Gutierrez-Robledo LM (2002) Looking at the future of geriatric care in developing countries. J Gerontol A Biol Sci Med Sci 57:M162–M167

    Article  Google Scholar 

  7. Blodgett JM, Theou O, Howlett SE et al (2017) A frailty index from common clinical and laboratory tests predicts increased risk of death across the life course. GeroScience 39:447–455

    Article  Google Scholar 

  8. Rockwood K, Mcmillan M, Mitnitski A et al (2015) A frailty index based on common laboratory tests in comparison with a clinical frailty index for older adults in long-term care facilities. J Am Med Dir Assoc 16:842–847

    Article  Google Scholar 

  9. Gutierrez-Robledo LM, Avila-Funes JA, Amieva H et al (2016) Association of low serum 25-hydroxyvitamin D levels with the frailty syndrome in Mexican community-dwelling elderly. Aging Male 19:58–63

    Article  CAS  Google Scholar 

  10. Buta B, Choudhury PP, Xue QL et al (2017) The association of vitamin D deficiency and incident frailty in older women: the role of cardiometabolic diseases. J Am Geriatr Soc 65:619–624

    Article  Google Scholar 

  11. Ensrud KE, Blackwell TL, Cauley JA et al (2011) Circulating 25-hydroxyvitamin D levels and frailty in older men: the osteoporotic fractures in men study. J Am Geriatr Soc 59:101–106

    Article  Google Scholar 

  12. Ensrud KE, Ewing SK, Fredman L et al (2010) Circulating 25-hydroxyvitamin D levels and frailty status in older women. J Clin Endocrinol Metab 95:5266–5273

    Article  CAS  Google Scholar 

  13. Orces CH (2017) Prevalence of clinically relevant muscle weakness and its association with vitamin D status among older adults in Ecuador. Aging Clin Exp Res 29:943–949

    Article  Google Scholar 

  14. Puts MT, Visser M, Twisk JW et al (2005) Endocrine and inflammatory markers as predictors of frailty. Clin Endocrinol (Oxf) 63:403–411

    Article  CAS  Google Scholar 

  15. Cesari M, Penninx BW, Pahor M et al (2004) Inflammatory markers and physical performance in older persons: the InCHIANTI study. J Gerontol A Biol Sci Med Sci 59:242–248

    Article  Google Scholar 

  16. Virgini VS, Wijsman LW, Rodondi N et al (2014) Subclinical thyroid dysfunction and functional capacity among elderly. Thyroid 24:208–214

    Article  Google Scholar 

  17. Fried LP, Xue QL, Cappola AR et al (2009) Nonlinear multisystem physiological dysregulation associated with frailty in older women: implications for etiology and treatment. J Gerontol A Biol Sci Med Sci 64:1049–1057

    Article  Google Scholar 

  18. Cappola AR, Xue QL, Fried LP (2009) Multiple hormonal deficiencies in anabolic hormones are found in frail older women: the women’s health and aging studies. J Gerontol A Biol Sci Med Sci 64:243–248

    Article  Google Scholar 

  19. Ferrucci L, Cavazzini C, Corsi A et al (2002) Biomarkers of frailty in older persons. J Endocrinol Investig 25:10–15

    Article  CAS  Google Scholar 

  20. Wong R, Michaels-Obregon A, Palloni A (2017) Cohort profile: the Mexican Health and Aging Study (MHAS). Int J Epidemiol 46:e2

    Article  Google Scholar 

  21. Wong R, Michaels-Obregon A, Palloni A et al (2015) Progression of aging in Mexico: the Mexican Health and Aging Study (MHAS) 2012. Salud Publica Mex 57:S79–S89

    Article  Google Scholar 

  22. Searle SD, Mitnitski A, Gahbauer EA et al (2008) A standard procedure for creating a frailty index. BMC Geriatr 8:24

    Article  Google Scholar 

  23. Garcia-Gonzalez JJ, Garcia-Pena C, Franco-Marina F et al (2009) A frailty index to predict the mortality risk in a population of senior Mexican adults. BMC Geriatr 9:47

    Article  Google Scholar 

  24. Schalk BW, Visser M, Deeg DJ et al (2004) Lower levels of serum albumin and total cholesterol and future decline in functional performance in older persons: the longitudinal aging study Amsterdam. Age Ageing 33:266–272

    Article  Google Scholar 

  25. Schoufour JD, Echteld MA, Boonstra A et al (2016) Biochemical measures and frailty in people with intellectual disabilities. Age Ageing 45:142–148

    Article  Google Scholar 

  26. Castrejon-Perez RC, Aguilar-Salinas CA, Gutierrez-Robledo LM et al (2017) Frailty, diabetes, and the convergence of chronic disease in an age-related condition: a population-based nationwide cross-sectional analysis of the Mexican nutrition and health survey. Aging Clin Exp Res 30:935–941

    Article  Google Scholar 

  27. Castrejon-Perez RC, Gutierrez-Robledo LM, Cesari M et al (2017) Diabetes mellitus, hypertension and frailty: A population-based, cross-sectional study of Mexican older adults. Geriatr Gerontol Int 17:925–930

    Article  Google Scholar 

  28. Zuliani G, Volpato S, Romagnoni F et al (2004) Combined measurement of serum albumin and high-density lipoprotein cholesterol strongly predicts mortality in frail older nursing-home residents. Aging Clin Exp Res 16:472–475

    Article  Google Scholar 

  29. Shardell M, Hicks GE, Miller RR et al (2009) Association of low vitamin D levels with the frailty syndrome in men and women. J Gerontol A Biol Sci Med Sci 64:69–75

    Article  Google Scholar 

  30. Van Hemelrijck M, Harari D, Garmo H et al (2012) Biomarker-based score to predict mortality in persons aged 50 years and older: a new approach in the Swedish AMORIS study. Int J Mol Epidemiol Genet 3:66–76

    PubMed  PubMed Central  Google Scholar 

Download references

Funding

The Mexican Health and Aging Study was supported in its 2012 version by National Institutes of Health/National Institute on Aging (R01AG018016, R Wong, PI).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to María Fernanda Carrillo-Vega.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in the present study were in accordance with the ethical standards of the National Geriatrics Institute research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 304 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pérez-Zepeda, M.U., García-Peña, C. & Carrillo-Vega, M.F. Individual and cumulative association of commonly used biomarkers on frailty: a cross-sectional analysis of the Mexican Health and Aging Study. Aging Clin Exp Res 31, 1429–1434 (2019). https://doi.org/10.1007/s40520-019-01127-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-019-01127-4

Keywords

Navigation