title: The relationships between delivery agents' physical activity level and the likelihood of implementing a physical activity program.
abstract: OBJECTIVE
  To determine the relationships between delivery agents'physical activity characteristics and subsequent adoption of a physical activity promotion program for community implementation.
  
  
  METHODS
  Agents responsible for county health promotion in Kansas (n = 91; 94.5% women; mean age = 43.0 +/- 11) completed interviews that assessed physical activity self-efficacy, value, and participation. Subsequent implementation of a physical activity program was monitored. The response rate was 100%.
  
  
  RESULTS
  Fifty-five percent of the agents met Centers for Disease Control and Prevention (CDC) recommendations for physical activity, 35% were active but did not meet CDC recommendations, and 10% were inactive. On the basis of logistic regression analysis (Wald statistic = 7.63; p < .05), agents who met recommendations were more likely to adopt the program for their county (69%) than were agents who were less active (41%) and inactive (11%).
  
  
  CONCLUSIONS
  The data suggest that increasing the proportion of delivery agents who meet the CDC recommendations for physical activity could be related with a higher proportion of communities implementing physical activity programs.
authors.affiliation: Clinical Research Unit, Kaiser Permnnanente Colorado, Denver, Colorado 80237-8066, USA. paul_estabrooks@yahoo.com
authors.forename: Paul
authors.initials: P
authors.lastname: Estabrooks
authors.forename: Michael
authors.initials: M
authors.lastname: Bradshaw
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Fox
authors.forename: Joseph
authors.initials: J
authors.lastname: Berg
authors.forename: David A
authors.initials: DA
authors.lastname: Dzewaltowski
mesh_terms: D000328:Adult; D040343:Behavioral Risk Factor Surveillance System; D002487:Centers for Disease Control and Prevention, U.S.; D003153:Community Health Services; D015444:Exercise; D005260:Female; D015438:Health Behavior; D006282:Health Personnel / Q000523:psychology* / Q000706:statistics & numerical data; D006293:Health Promotion; D006801:Humans; D007615:Kansas; D009111:Local Government; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011635:Public Health Administration; D020377:Self Efficacy; D014481:United States; D016138:Walking / Q000706:statistics & numerical data*; D000078329:Workforce