title: [Trends and social inequalities in cervical cancer and breast cancer screening in Madrid: Non-Commumicable Disease Risk FactorSurveillance System (SIVFRENT-A) from 1995 to 2010].
abstract: BACKGROUND
  The assessment of preventive programs is necessary to support the decisions made in public health. There are few research studies that evaluate the degree of implementation and equity of cancer screening in Spain. The objective was to describe trends and inequalities in cervical and breast cancer screening according social determinants of health.
  
  
  METHODS
  An analysis was carried out on the Behavioral Risk Factor Surveillance System of Community of Madrid data, obtained between 1995 and 2000 from telephone surveys conducted on a population between ages 18 to 65, were analyzed. The years were grouped into four periods: P1 to P4. The trends were estimated with prevalence ratios (PR) with 95% confidence intervals (95% CI), obtained through generalized linear models with binomial family and logarithmic link. The inequalities were estimated with differences of proportions (DP) with 95% CI.
  
  
  RESULTS
  An increased in mammograms is seen especially in women with low education (PR P4/P1: 1.93; 95%CI 1.62 to 2.3), this trend more discreet in cytology (PR P4/P1: 1.28; 95%CI 1.11 to 1.47). However mammograms have not increased over in the past 5 years (PR P4/P3: 1.02; 95% CI 0.99 to 1.04). Inequalities get better, but show an increase in the last period.
  
  
  CONCLUSIONS
  All groups increase in preventative behaviors and those who did not, had a high prevalence from the start.Itis worth mentioning the stagnation of mammography in disadvantaged women in the period 2007-2010. There was a social gradient for preventive preventative measures, which was lower in the population-basedscreening (mammography) than in the opportunistic one (cytology).
authors.affiliation: Unidad de Medicina Preventiva, Hospital Universitario fundación Alcorcón, Madrid, 28922, Spain. plzamalloa@gmail.com.
authors.forename: P
authors.initials: P
authors.lastname: Latasa
authors.forename: A M
authors.initials: AM
authors.lastname: Gandarillas
authors.forename: M
authors.initials: M
authors.lastname: Ordobás
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis*; D055088:Early Detection of Cancer / Q000706:statistics & numerical data* / Q000639:trends*; D005260:Female; D054625:Healthcare Disparities / Q000706:statistics & numerical data*; D006801:Humans; D008327:Mammography / Q000706:statistics & numerical data; D008875:Middle Aged; D012307:Risk Factors; D012959:Socioeconomic Factors; D013997:Time Factors; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*; D055815:Young Adult