Socio-demographic characteristics of participation in the opportunistic German cervical cancer screening programme: results from the EPIC-Heidelberg cohort.
OBJECTIVE
To analyse participation in the German cervical cancer screening programme by socio-demographic characteristics.


METHODS
In the EPIC-Heidelberg cohort study 13,612 women aged 35-65 years were recruited between 1994 and 1998. Follow-up questionnaires were used to analyse participation in cervical cancer screening. Subjects were categorised according to age (birth cohort), education, vocational training, employment status, marital status and household size. Associations between socio-demographic characteristics and participation in cervical cancer screening were analysed using multinomial logistic regression.


RESULTS
Females of the oldest and middle birth cohort were less likely to be screened compared to the youngest birth cohort. Less-educated women and those with a low-level secondary school degree had a decreased likelihood of undergoing screening in comparison to better educated women. Married women and women living in households with four or more persons were more likely to participate in the screening programme than single women or women living alone. Employment status did not modify participation in cervical cancer screening.


CONCLUSIONS
Knowledge on the characteristics of women with a lower attendance to cervical cancer screening could be used to improve the effectiveness of the current (opportunistic) programme by dedicated health promotion programmes. However, an organized screening programme with written invitation of all eligible women would be the preferred option.
Seidel
David
D
Division of Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Becker
Nikolaus
N
Rohrmann
Sabine
S
Nimptsch
Katharina
K
Linseisen
Jakob
J
D000328:Adult; D000368:Aged; D015331:Cohort Studies; D003710:Demography; D005260:Female; D005500:Follow-Up Studies; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008019:Life Style; D008403:Mass Screening; D008875:Middle Aged; D012044:Regression Analysis; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D002583:Uterine Cervical Neoplasms / Q000453:epidemiology* / Q000517:prevention & control*; D014626:Vaginal Smears