title: Support for physical activity policies and perceptions of work and neighborhood environments: variance by BMI and activity status at the county and individual levels.
abstract: OBJECTIVE
  To examine support for local policies encouraging physical activity and perceived neighborhood environment characteristics by physical activity and weight status of respondents across U.S. counties.
  
  
  METHODS
  We used a random-digit-dial, computer-assisted telephone interview (CATI) to conduct a cross-sectional telephone questionnaire in selected U.S. counties in 2011.
  
  
  METHODS
  Counties with high prevalences of obesity and sedentary behavior (HH; n = 884) and counties with low prevalences of obesity and sedentary behavior (LL; n = 171) were selected nationally.
  
  
  METHODS
  Adult respondents from HH (n = 642) and LL (n = 566) counties.
  
  
  METHODS
  Questions were asked of respondents, pertaining to support for physical activity policies in various settings, neighborhood features, time spent in physical activity and sedentary behaviors, self-reported weight and height, and personal demographic information.
  
  
  METHODS
  Means and frequencies were calculated; bivariable and multivariable linear and logistic regression models, developed. Models were adjusted for individual characteristics and county HH/LL status.
  
  
  RESULTS
  Respondents in LL counties perceived their neighborhood and work environments to be more supportive of healthy behaviors and were more supportive of local physical activity policies than respondents in HH counties (p < .001 for all). Positive neighborhood environment perceptions were related to reduced body mass index, increased physical activity, and decreased sedentary behavior.
  
  
  CONCLUSIONS
  Policy support and neighborhood environments are associated with behaviors. Results can inform targeting policy agendas to facilitate the improvement of environments (community, work, and school) to be more supportive of physical activity.
authors.forename: Jeanette
authors.initials: J
authors.lastname: Gustat
authors.forename: Keelia
authors.initials: K
authors.lastname: O'Malley
authors.forename: Tian
authors.initials: T
authors.lastname: Hu
authors.forename: Rachel G
authors.initials: RG
authors.lastname: Tabak
authors.forename: Karin Valentine
authors.initials: KV
authors.lastname: Goins
authors.forename: Cheryl
authors.initials: C
authors.lastname: Valko
authors.forename: Jill
authors.initials: J
authors.lastname: Litt
authors.forename: Amy
authors.initials: A
authors.lastname: Eyler
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D004779:Environment Design; D006291:Health Policy; D006801:Humans; D009043:Motor Activity; D009765:Obesity / Q000453:epidemiology* / Q000517:prevention & control; D015995:Prevalence; D012111:Residence Characteristics; D057185:Sedentary Behavior; D012944:Social Support; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology; D017132:Workplace