Nutritional status, health conditions and socio-demographic factors in the elderly of Havana, Cuba: data from SABE survey

J Nutr Health Aging. 2010 Dec;14(10):803-8. doi: 10.1007/s12603-010-0126-6.


Objective: To assess the association of nutritional status with sex, age, race/color, education, smoking, physical activity, hypertension, diabetes, and hospitalization in older adults residing in the city of Havana, Cuba.

Methods: This was a cross-sectional, population-based household survey. A total of 1,905 persons (1,197 women and 708 men; ≥ 60 years) were examined between 1999 and 2000, selected by probabilistic sampling. Nutritional status was assessed by body mass index (BMI): BMI < 22.0 kg/m2 = underweight; BMI > 27.0 kg/m2 = overweight. Multinomial logistic regression analysis (crude and adjusted) was used.

Results: The estimation of the prevalence of underweight was 33.0% and that of overweight was 29.6%. The adjusted regression model showed that the probability of underweight was higher in older age groups (OR = 1.63, 70-79 years; OR = 2.05, ≥ 80 years) and among smokers (OR = 1.83). There was negative association between underweight, and hypertension and diabetes. Hypertension (OR = 1.99) was positively associated with overweight. The lower likelihood of overweight was observed among men, smokers, and those aged 80 years and more.

Conclusion: The elderly population of Havana presents a vulnerable nutritional status in view of the prevalence of underweight and overweight. Increasing age, smoking, gender, and hypertension are the factors positively associated with vulnerable nutritional status.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging
  • Cross-Sectional Studies
  • Cuba / epidemiology
  • Female
  • Health Status*
  • Health Surveys*
  • Humans
  • Hypertension / epidemiology
  • Male
  • Middle Aged
  • Nutritional Status*
  • Overweight / epidemiology*
  • Prevalence
  • Risk Factors
  • Sex Factors
  • Smoking / adverse effects
  • Socioeconomic Factors
  • Thinness / epidemiology*