title: Daily hassles' role in health seeking behavior among low-income populations.
abstract: OBJECTIVE
  To adapt a daily hassles measure for a low-income population and assess the relationship between hassles and health seeking behavior.
  
  
  METHODS
  The mixed methods approach used cognitive interviews (N = 23) to inform an adapted measure of daily hassles. The adapted scale was then tested via surveys (N = 144) in community health centers; multivariate logistic regression models were used to assess relationships among variables.
  
  
  RESULTS
  Hassle concerning having enough money for emergencies (76.5%) and worrying about personal health (68.8%) were among the most common. Increased health-related hassles were associated with an increased likelihood to delay needed care.
  
  
  CONCLUSIONS
  Findings suggest daily hassles are unique among low-income populations and should be considered in health behavior interventions.
authors.affiliation: Washington University in Saint Louis, School of Medicine, Division of Public Health Sciences, St Louis, MO, USA. jamesai@wudosis.wustl.edu.
authors.forename: Rebekah
authors.initials: R
authors.lastname: Jacob
authors.affiliation: Saint Louis University, College of Public Health & Social Justice, Department of Epidemiology, Kansas City, KS, USA.
authors.forename: Lauren D
authors.initials: LD
authors.lastname: Arnold
authors.affiliation: Washington University in Saint Louis, School of Medicine, Division of Public Health Sciences, St Louis, MO, USA.
authors.forename: Jean
authors.initials: J
authors.lastname: Hunleth
authors.affiliation: University of Kansas Medical Center, Department of Family Medicine, Kansas City, KS, USA.
authors.forename: K Allen
authors.initials: KA
authors.lastname: Greiner
authors.affiliation: Washington University in Saint Louis, School of Medicine, Division of Public Health Sciences, St Louis, MO, USA.
authors.forename: Aimee S
authors.initials: AS
authors.lastname: James
mesh_terms: D000328:Adult; D001741:Black or African American / Q000523:psychology / Q000706:statistics & numerical data; D000368:Aged; D005260:Female; D005382:Financing, Personal; D015438:Health Behavior / Q000208:ethnology; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007406:Interview, Psychological; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000208:ethnology / Q000523:psychology*; D011204:Poverty Areas; D015397:Program Evaluation; D036301:Qualitative Research; D057566:Self Report; D012923:Social Class; D014186:Transportation; D044465:White People / Q000523:psychology / Q000706:statistics & numerical data