ArticleCancer medicine2018
Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status.
Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Spatiotemporal dynamics of breast cancer screening across half a million invitations in Geneva, Switzerland.Communications medicine · 2026Article
- Spatial dependence of non-traumatic out-of-hospital cardiac arrest in a Swiss region: A retrospective analysis.Resuscitation plus · 2024Article
- Spatial variability in socio-demographic factors affecting participation in the Australian national bowel cancer screening program.Public health in practice (Oxford, England) · 2023Article
- Exploring Disparities in Breast Cancer Screening: An Ecological Analysis of Australian Data.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Swiss Cohort & Biobank - The White Paper.Public health reviews · 2022Article
- Observational
- Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status.Cancer medicine · 2018Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLocal physical and social environment has a defining influence on individual behavior and health-related outcomes. However, it remains undetermined if its impact is independent of individual socioeconomic status. In this study, we evaluated the spatial distribution of mammography adherence in the state of Geneva (Switzerland) using individual-level data and assessed its independence from socioeconomic status (SES).
methodsGeoreferenced individual-level data from the population-based cross-sectional Bus Santé study (n = 5002) were used to calculate local indicators of spatial association (LISA) and investigate the spatial dependence of mammography adherence. Spatial clusters are reported without adjustment; adjusted for neighborhood income and individual educational attainment; and demographic factors (age and Swiss nationality). The association between adjusted clusters and the proximity to the nearest screening center was also evaluated.
resultsMammography adherence was not randomly distributed throughout Geneva with clusters geographically coinciding with known SES distributions. After adjustment for SES indicators, clusters were reduced to 56.2% of their original size (n = 1033). Adjustment for age and nationality further reduced the number of individuals exhibiting spatially dependent behavior (36.5% of the initial size). The identified SES-independent hot spots and cold spots of mammography adherence were not explained by proximity to the nearest screening center.
conclusionsSES and demographic factors play an important role in shaping the spatial distribution of mammography adherence. However, the spatial clusters persisted after confounder adjustment indicating that additional neighborhood-level determinants could influence mammography adherence and be the object of targeted public health interventions.
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