Non‐response bias as a likely cause of the association between young maternal age at the time of delivery and the risk of cancer in the offspring
Abstract
Summary: Some epidemiological studies have shown an association between young maternal age at the time of delivery and risk of cancer in the offspring. In a recent German case–control study, there was a twofold increase in the leukaemia risk for children whose mothers were aged < 20 years at the time of delivery. As the prevalence of younger mothers among control families was particularly low, data on maternal age distributions for the general population of Germany were obtained in order to examine the representativeness of the control sample. Despite the excellent sampling frame based on data from complete and up‐to‐date population registries and a satisfactory response rate among controls (≈71%), there seemed to be a material deficit of young mothers in the control sample. The prevalence of young mothers in the control group was 1.4%[95% CI 0.8%, 2.0%] compared with 2.9% in the general population and 3.3%[1.8%, 4.8%] among leukaemia cases. The most likely cause of this deficit was non‐participation. Non‐participation bias is hard to identify if no information is available on non‐responders and if it results from only small subgroups among the total control sample. Maternal age and childhood leukaemia are an example where differential non‐participation creates a spurious moderate association for a relatively rare exposure situation. But nowadays, many epidemiological studies target the detection of small to moderate risk increases for rare exposures. Therefore, the choice of a representative control group as well as the achievement of an excellent response rate are of prime importance.
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Young women with healthy children were less likely to participate than those with unhealthy children.
“Young women with healthy children were less likely to participate than those with unhealthy children [ 133 ].”
From Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007) · cites this paper as [133]
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Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613 · see citing works
“Young women with healthy children were less likely to participate than those with unhealthy children [133].”
Vandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543 · see citing works
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2014) · International Journal of Surgery · doi:10.1016/j.ijsu.2014.07.014 · Cited by 2,969 · see citing works
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2007) · Epidemiology · doi:10.1097/ede.0b013e3181577511 · Cited by 2,779 · see citing works
- Authors
- Schüz, J.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Schüz, Joachim
- ORCID
- Schüz, Joachim
- Venue
- Paediatric and Perinatal Epidemiology
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 17
- Issue
- 1
- Pages
- 106-112
- ISSN
- 0269-5022 (ISSN-L)
- 1365-3016
- OpenAlex
- W2146358960
- Cited by
- 29
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 2
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Paediatric and Perinatal Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- nonresponse bias, young maternal age, pediatric leukemia, case-control study, response rate, exposure misclassification, maternal age
- MeSH terms
- Female, Humans, Infant, Newborn, Lymphoma, Non-Hodgkin, Maternal Age, Neuroblastoma, Risk, Bias, Case-Control Studies, Central Nervous System Neoplasms, Sample Size, Precursor Cell Lymphoblastic Leukemia-Lymphoma
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