title: Sociodemographic predictors of non-attendance at invitational mammography screening--a population-based register study (Sweden).
abstract: OBJECTIVE
  To investigate the role of sociodemographic factors in predicting mammography uptake in an outreach screening program.
  
  
  METHODS
  Linkage of data from a regional population-based mammography program with four Swedish nationwide registers: the Population and Housing Census of 1990, the Fertility Register, the Cancer Register, and the Cause of Death Register. We computed odds ratios (OR) and 95% confidence intervals (CI) for non-attendance by sociodemographic factors. Non-attendance was defined as failure to attend in response to the two most recent invitations.
  
  
  RESULTS
  Multivariate analyses among 4198 non-attenders and 38,972 attenders revealed that both childless and high-parity women were more likely to be non-attenders (OR = 1.8, 95% CI: 1.6-2.0 and OR = 2.2, 95% CI: 1.8-2.7, respectively). Women living without a partner were less likely to attend (OR = 1.7, 95% CI: 1.5-1.9), as were non-employed women (OR = 2.1, 95% CI: 1.9-2.3). Those renting an apartment were more likely to be non-attenders compared with home-owners (OR = 1.8, 95% CI: 1.6-2.0), and immigrants from non-Nordic countries were more than twice as likely to be non-attenders compared with Swedish-born women (OR = 2.4, 95% CI: 2.0-2.8).
  
  
  CONCLUSIONS
  There are identifiable subgroups in which mammography utilization can be increased. Special attention should be paid to women who have never attended, childless women, and non-Nordic immigrants.
authors.affiliation: Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden. Magdalena.Lagerlund@mep.ki.se
authors.forename: Magdalena
authors.initials: M
authors.lastname: Lagerlund
authors.forename: Annette E
authors.initials: AE
authors.lastname: Maxwell
authors.forename: Roshan
authors.initials: R
authors.lastname: Bastani
authors.forename: Erik
authors.initials: E
authors.lastname: Thurfjell
authors.forename: Anders
authors.initials: A
authors.lastname: Ekbom
authors.forename: Mats
authors.initials: M
authors.lastname: Lambe
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000704:Analysis of Variance; D001943:Breast Neoplasms / Q000453:epidemiology / Q000517:prevention & control*; D003159:Community-Institutional Relations; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D016015:Logistic Models; D008327:Mammography / Q000706:statistics & numerical data*; D008403:Mass Screening / Q000458:organization & administration / Q000706:statistics & numerical data*; D008875:Middle Aged; D016017:Odds Ratio; D010342:Patient Acceptance of Health Care / Q000208:ethnology / Q000706:statistics & numerical data*; D011159:Population Surveillance; D011237:Predictive Value of Tests; D012042:Registries; D018570:Risk Assessment; D012307:Risk Factors; D012959:Socioeconomic Factors; D013548:Sweden / Q000453:epidemiology