title: The use of chronic disease risk factor surveillance systems for evidence-based decision-making: physical activity and nutrition as examples.
abstract: OBJECTIVE
  To highlight the value of continuous risk factor surveillance systems in providing evidence of the impact of, and to inform health promotion interventions.
  
  
  METHODS
  An ongoing risk factor surveillance system involving telephone interviews with approximately n = 600 randomly selected South Australians each month. Trend analysis on physical activity (PA) levels and daily consumption of fruit and vegetables was undertaken.
  
  
  RESULTS
  An apparent seasonal trend for fruit consumption and PA was found, with less activity and fruit consumption undertaken in winter months. Overweight/obese adults exercised less than those with normal BMI, and females less than males, although PA rates for both females and overweight/obese adults are rising. There was an increase in vegetable consumption following a major media campaign. Although reported prevalence of the consumption of five or more serves of vegetables daily and the mean number of serves consumed daily has decreased, it is still above pre-campaign rates.
  
  
  CONCLUSIONS
  Additional information obtained from a risk factor surveillance system, when compared to an annual or point-in-time survey, provides valuable evidence for health professionals interested in measuring and assessing the effectiveness of health promotion interventions.
authors.affiliation: Population Research and Outcome Studies Unit, SA Health, Adelaide, Australia. anne.taylor@health.sa.gov.au
authors.forename: Anne W
authors.initials: AW
authors.lastname: Taylor
authors.forename: Stefano
authors.initials: S
authors.lastname: Campostrini
authors.forename: Tiffany K
authors.initials: TK
authors.lastname: Gill
authors.forename: Patricia
authors.initials: P
authors.lastname: Carter
authors.forename: Eleonora
authors.initials: E
authors.lastname: Dal Grande
authors.forename: Michele
authors.initials: M
authors.lastname: Herriot
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D001315:Australia; D002908:Chronic Disease / Q000453:epidemiology*; D003657:Decision Making; D004032:Diet; D015444:Exercise; D005638:Fruit; D006801:Humans; D008875:Middle Aged; D012307:Risk Factors; D012621:Seasons; D018571:Sentinel Surveillance; D012737:Sex Factors; D014675:Vegetables; D055815:Young Adult