Related Experiment Video
Updated: Jan 22, 2026

Lower Limb Biomechanical Analysis of Healthy Participants
Published on: April 15, 2020
Predictive factors for non-participation or partial participation in breast, cervical and colorectal cancer screening
Sébastien Dawidowicz1,2, Julien Le Breton1,3, Laura Moscova1
1Primary Care Department, School of Medicine, Université Paris-Est Créteil (UPEC), Créteil, France.
Background:
No study has investigated factors associated with non-participation or partial participation in the different combination patterns of screening programmes for all three cancers, that is, breast, colorectal and cervical cancer.
Methods:
In a retrospective cohort study, we sought to describe combinations of cancer screening participation rates among women in the Val-de-Marne area of France and to identify individual and contextual factors associated with non-participation or partial participation.
Results:
Women aged between 50 and 65 and who were eligible for all three screening programmes (n = 102 219) were analysed in multilevel logistic models, with the individual as the Level 1 variable and the place of residence as the Level 2 variable. The women who did not participate in any of the screening programmes were 34.4%, whereas 30.1%, 24% and 11.5% participated in one, two or all three screening programmes, respectively. Age below 55, a previous false-positive mammography, prior opportunistic mammography only, no previous mammography, membership of certain health insurance schemes (all P < 0.05) and residence in a deprived area (P < 0.001) were independently associated with non-participation or partial participation. We observed a stronger effect of deprivation on non-participation in all three cancers than in combinations of screening programmes.
Conclusion:
Our findings suggest that the health authorities should focus on improving cancer screenings in general rather than screenings for specific types of cancer, especially among younger women and those living in the most socially deprived areas.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
08:42A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
Published on: July 31, 2017
Related Concept Videos
Predicting Molecular Geometry
Factors Affecting Solubility
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Transcription Factors
Mixtures of Gases: Dalton's Law of Partial Pressures and Mole Fractions
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...