Hypercholesterolemia and smoking habits of Lithuanian military personnel

Mil Med. 2006 Jun;171(6):512-5. doi: 10.7205/milmed.171.6.512.

Abstract

Objective: To investigate the prevalence of risk factors for cardiovascular disease, namely, hypercholesterolemia and current smoking, among 25- to 54-year-old men and women among Lithuanian active duty military personnel.

Methods: Serum cholesterol levels were measured enzymatically for 200 persons (126 men and 74 women). Interviews regarding smoking habits were performed for 82.5% of those persons (98 men and 67 women).

Results: Hypercholesterolemia (total cholesterol level of > or = 6.2 mmol/L) was determined for 45.2% of men and 40.5% of women. After distribution of men and women into three age groups (25-34, 35-44, and 45-54 years), it was determined that the rate of hypercholesterolemia increased with age (among groups of men, 29.6%, 46.7%, and 74.0%; among groups of women, 18.8%, 51.5%, and 40.0%, respectively). The proportion of current smokers among men was 2.6 times higher than that among women (45.9% vs. 17.9%; p < 0.001). The highest rate of current smoking was in the 35- to 44-year group of men (64.5%). The coexistence of hypercholesterolemia and current smoking among men was 3.1 times higher than that among women (23.5% vs. 7.5%; p < 0.01). The highest rates of current smoking with hypercholesterolemia were in the 35- to 44-year and 45- to 54-year groups of men (32.2% and 31.8%, respectively).

Conclusion: The data demonstrated a relatively high rate (32.1%) of coexistence of two independent risk factors for cardiovascular disease (hypercholesterolemia and current smoking) among men 35 to 54 years of age from Lithuanian military personnel.

MeSH terms

  • Adult
  • Age Factors
  • Cardiovascular Diseases / etiology
  • Female
  • Health Behavior*
  • Health Surveys*
  • Humans
  • Hypercholesterolemia / complications*
  • Hypercholesterolemia / epidemiology
  • Interviews as Topic
  • Lithuania / epidemiology
  • Male
  • Middle Aged
  • Military Medicine*
  • Military Personnel / statistics & numerical data*
  • Pilot Projects
  • Risk Assessment
  • Risk Factors
  • Sex Factors
  • Smoking / adverse effects*
  • Smoking / epidemiology
  • Surveys and Questionnaires