State- and sex-specific prevalence of selected characteristics--Behavioral Risk Factor Surveillance System, 1992 and 1993

MMWR CDC Surveill Summ. 1996 Dec 27;45(6):1-36.

Abstract

Problem/condition: Much chronic disease and injury morbidity and mortality is associated with high-risk behaviors (e.g., cigarette smoking, excessive alcohol consumption, and physical inactivity) and with lack of preventive health care (e.g., screening for cancer). States use the Behavioral Risk Factor Surveillance System (BRFSS) to collect data about these modifiable health behaviors and to monitor trends and significant changes in their populations over time.

Reporting period: 1992 and 1993.

Description of system: The BRFSS is a state-based telephone survey of the civilian, noninstitutionalized, adult (persons > or = 18 years of age) population. In 1992, 48 states and the District of Columbia participated in the BRFSS; in 1993, 49 states and the District of Columbia participated. Several questions were added to the BRFSS in 1993.

Results: As in previous years, state-specific variations occurred in the prevalence of high-risk behaviors, awareness of certain medical conditions, use of preventive health services, and health-care coverage. In 1993, 4.0% (range: 1.4% - 6.4%) of adults reported riding with a driver who had had too much alcohol to drink. The percentage of persons > or = 50 years of age who had ever had a proctoscopic examination ranged from 25.6% to 51.5% (median: 36.8%). Among adults > or = 65 years of age, 27.4% (range: 18.5 % - 40.0%) had ever had a pneumococcal vaccination, and 49.9% (range: 28.7% - 66.2%) had had an influenza vaccination within the past 1 year.

Interpretation: The variations in prevalence across states likely reflect socioeconomic differences, differences in state laws enacted to discourage risky behaviors, different levels of effort to screen for certain types of cancer or risk factors for other diseases, and other factors. ACTION TAKEN: States will continue to use the BRFSS to collect data about health behaviors. Analysis of these data will enable states to monitor factors that may affect the rate of chronic disease and injury mortality and morbidity and to develop public health policies to address these problems.

MeSH terms

  • Adult
  • Aged
  • Chronic Disease / epidemiology
  • Data Collection
  • Health Behavior*
  • Health Status*
  • Humans
  • Male
  • Middle Aged
  • Population Surveillance*
  • Risk Factors
  • Risk-Taking*
  • United States / epidemiology
  • Wounds and Injuries / epidemiology