Metabolic syndrome and hemoglobin levels in elderly adults: the Invecchiare in Chianti Study

J Am Geriatr Soc. 2013 Jun;61(6):963-8. doi: 10.1111/jgs.12256. Epub 2013 May 6.


Objectives: To assess the association between metabolic syndrome (MetS) and hemoglobin levels in older adults.

Design: The Invecchiare in Chianti (InCHIANTI) Study, a cohort study with a 6-year follow-up.

Setting: Tuscany, Italy.

Participants: Adults aged 65 and older (N = 1,036).

Measurements: MetS was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III criteria. The adjusted association between baseline hemoglobin and MetS was assessed using multivariable linear regression with hemoglobin as a continuous variable and using logistic regression with median hemoglobin level as the reference. Logistic regression was also performed with any incident decline in hemoglobin levels as the dependent variable.

Results: MetS was diagnosed in 263 (25%) participants. At baseline, MetS was associated with higher hemoglobin levels (B = 0.18, 95% confidence interval (CI) = 0.03-0.33, P = .02) and with hemoglobin levels above the median value (odds ratio (OR) = 1.65, 95% CI = 1.17-2.32, P = .004) after adjusting. After 6 years, MetS was associated with lower adjusted probability of lower hemoglobin levels (OR = 0.34, 95% CI = 0.15-0.79, P = .012) but only in the oldest tertile of participants.

Conclusion: MetS is associated with higher hemoglobin levels in older subjects and with lower probability of hemoglobin loss over 6 years in those in the oldest age group.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aging / blood*
  • Cross-Sectional Studies
  • Female
  • Follow-Up Studies
  • Frail Elderly*
  • Geriatric Assessment / methods*
  • Hemoglobins / metabolism*
  • Humans
  • Italy / epidemiology
  • Male
  • Metabolic Syndrome / blood
  • Metabolic Syndrome / epidemiology*
  • Odds Ratio
  • Prevalence
  • Prospective Studies
  • Risk Assessment / methods*
  • Risk Factors
  • Sex Factors
  • Survival Rate / trends
  • Time Factors


  • Hemoglobins