The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. CRC Screening in Flanders
2.2. Interruption Period
2.3. Study Design and Data Sources
2.4. Study Population
2.5. Definitions
2.6. Statistical Analysis
3. Results
3.1. CRCSP Screening Uptake Rate and Screening Interval in 2018–2022
3.2. Description of SES Variables and Outcomes
3.3. Determinants of Differences in Screening Uptake Rate
3.4. Determinants of Difference in Screening Interval
4. Discussion
Strengths and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables/Outcome | Q10 | Q20 | Q30 | Q40 | Q50 | Q60 | Q70 | Q80 | Q90 |
---|---|---|---|---|---|---|---|---|---|
Median uptake difference, % | −15.1 | −8.4 | −5.7 | −3.8 | −2.3 | −0.9 | 0.6 | 2.7 | 5.5 |
Uptake difference range, % | ≤−10.8 | (−10.8, −7.0) | (−7.0, −4.8) | (−4.8, −3.1) | (−3.1, −1.7) | (−1.7, −0.1) | (−0.1, 1.7) | (1.7, 3.8) | (3.8, 7.6) |
Male percentage, % | 51.2 | 51.3 | 51.0 | 50.5 | 50.7 | 50.6 | 50.4 | 50.7 | 51.0 |
≥60 years old percentage, % | 47.1 | 48.1 | 49.0 | 49.4 | 49.3 | 49.0 | 48.7 | 48.6 | 49.2 |
Participation history rate, % | 55.6 | 54.7 | 54.8 | 53.6 | 54.4 | 53.9 | 54.1 | 53.9 | 54.6 |
Population density, /km2 | 310.0 | 1100.0 | 1260.0 | 1530.0 | 1440.0 | 1590.0 | 1490.0 | 1290.0 | 1100.0 |
Same address as last year, % | 93.2 | 93.1 | 92.7 | 92.4 | 92.4 | 92.1 | 92.2 | 92.3 | 92.7 |
Belgian origin nationality, % | 93.1 | 92.5 | 91.7 | 91.0 | 91.0 | 90.2 | 90.6 | 91.7 | 92.5 |
Living alone, % | 9.9 | 10.2 | 10.3 | 11.1 | 10.5 | 11.1 | 11.0 | 10.5 | 10.1 |
Children in single-parent families, % | 4.6 | 4.8 | 4.9 | 5.1 | 5.0 | 5.3 | 5.0 | 4.9 | 4.9 |
Unemployed job seekers, % | 3.4 | 3.5 | 3.7 | 3.8 | 3.7 | 3.9 | 3.9 | 3.7 | 3.6 |
Average net taxable income per inhabitant, € | 21,080.0 | 21,050.0 | 20,670.0 | 20,560.0 | 20,660.0 | 20,510.0 | 20,570.0 | 21,170.0 | 21,190.0 |
Home ownership, % | 84.6 | 83.3 | 81.0 | 79.2 | 80.1 | 78.0 | 78.5 | 81.3 | 83.0 |
Social housing, per 100 private households | 0.0 | 0.0 | 0.2 | 0.4 | 0.2 | 0.6 | 0.3 | 0.0 | 0.0 |
Cars, per 100 households | 134.8 | 132.3 | 129.8 | 127.8 | 129.8 | 127.2 | 127.8 | 130.8 | 133.9 |
Variables/Outcome | Q10 | Q20 | Q30 | Q40 | Q50 | Q60 | Q70 | Q80 | Q90 |
---|---|---|---|---|---|---|---|---|---|
Median screening interval difference, days | −6.0 | 1.0 | 3.5 | 6.0 | 7.5 | 9.5 | 12.0 | 15.0 | 20.0 |
Interval difference range, days | ≤−1.5 | (−1.5, 2.0) | (2.0, 4.5) | (4.5, 6.5) | (6.5, 8.5) | (8.5, 10.5) | (10.5, 13.0) | (13.0, 17.0) | (17.0, 24.0) |
Male percentage, % | 50.8 | 51.1 | 50.4 | 50.4 | 50.6 | 50.5 | 51.1 | 51.1 | 51.2 |
≥60 years old percentage, % | 49.2 | 48.9 | 50.0 | 50.5 | 49.3 | 48.8 | 48.7 | 48.0 | 47.3 |
Participation history rate, % | 52.9 | 53.9 | 56.0 | 54.5 | 55.0 | 56.4 | 54.6 | 54.3 | 53.9 |
Population density, /km2 | 480.0 | 1250.0 | 1450.0 | 1620.0 | 1490.0 | 1420.0 | 1330.0 | 1160.0 | 940.0 |
Same address as last year, % | 93.0 | 92.6 | 92.6 | 92.3 | 92.4 | 92.2 | 92.4 | 92.7 | 93.1 |
Belgian origin nationality, % | 93.0 | 91.5 | 91.1 | 90.9 | 90.7 | 91.8 | 91.6 | 91.9 | 92.6 |
Living alone, % | 9.9 | 10.4 | 10.6 | 11.1 | 10.7 | 10.6 | 10.6 | 10.1 | 10.0 |
Children in single-parent families, % | 4.7 | 4.8 | 5.0 | 5.0 | 5.1 | 4.8 | 5.0 | 4.8 | 4.8 |
Unemployed job seekers, % | 3.6 | 3.7 | 3.9 | 3.9 | 3.8 | 3.6 | 3.7 | 3.5 | 3.5 |
Average net taxable income per inhabitant, € | 20,900.0 | 20,790.0 | 20,620.0 | 20,660.0 | 20,450.0 | 20,810.0 | 20,920.0 | 21,130.0 | 21,280.0 |
Home ownership, % | 83.9 | 81.9 | 81.3 | 79.7 | 79.0 | 79.7 | 79.8 | 82.5 | 84.1 |
Social housing, per 100 private households | 0.0 | 0.0 | 0.3 | 0.4 | 0.4 | 0.3 | 0.3 | 0.0 | 0.0 |
Cars, per 100 households | 134.6 | 130.9 | 130.0 | 127.8 | 128.6 | 129.5 | 129.7 | 132.0 | 133.6 |
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Zheng, S.; Ding, L.; Greuter, M.J.W.; Tran, T.N.; Sidorenkov, G.; Hoeck, S.; Goossens, M.; Van Hal, G.; de Bock, G.H. The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium. Cancers 2024, 16, 3983. https://doi.org/10.3390/cancers16233983
Zheng S, Ding L, Greuter MJW, Tran TN, Sidorenkov G, Hoeck S, Goossens M, Van Hal G, de Bock GH. The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium. Cancers. 2024; 16(23):3983. https://doi.org/10.3390/cancers16233983
Chicago/Turabian StyleZheng, Senshuang, Lilu Ding, Marcel J. W. Greuter, Thuy Ngan Tran, Grigory Sidorenkov, Sarah Hoeck, Mathieu Goossens, Guido Van Hal, and Geertruida H. de Bock. 2024. "The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium" Cancers 16, no. 23: 3983. https://doi.org/10.3390/cancers16233983
APA StyleZheng, S., Ding, L., Greuter, M. J. W., Tran, T. N., Sidorenkov, G., Hoeck, S., Goossens, M., Van Hal, G., & de Bock, G. H. (2024). The Association of the COVID-19 Pandemic with the Uptake of Colorectal Cancer Screening Varies by Socioeconomic Status in Flanders, Belgium. Cancers, 16(23), 3983. https://doi.org/10.3390/cancers16233983