Model-based trends in the estimated number of children affected by maternal cancer diagnosis or death in Finland in 1968–2022
DOI:
https://doi.org/10.2340/1651-226X.2025.44072Keywords:
child, orphans, mothers, neoplasms, trend, estimation, registriesAbstract
Background and purpose: Cancer is among the leading causes of premature death worldwide, and, in Finland, it is the most common cause of death among women aged 15–64 years who may be parenting minor children. We aim to estimate how many children are affected by maternal cancer or cancer death and if this has changed in Finland.
Patient/material and methods: We used female cancers (Finnish Cancer Registry), cancer deaths, fertility rates in women and mortality rates in children (Statistics Finland) to calculate the model-based annual trend estimates of new and prevalent children under 18 years whose mother was diagnosed with cancer and new and prevalent orphans by maternal cancer type in Finland between 1968 and 2022.
Results: The estimated rate of children whose mother was diagnosed with cancer increased 1.3% annually since 1996. In 2022, the rates of new and prevalent children with maternal cancer were 218.4 and 1522.4 per 100,000, corresponding to 2,334 and 16,803 children. On the contrary, the estimated rate of new orphans due to maternal cancer mortality decreased 1.2% annually since 1998. In 2022, the age-
standardised rates of new and prevalent orphans were 26.4 and 166.7 per 100,000 children, corresponding to 285 and 1,850 orphans due to maternal cancer mortality.
Interpretation: We estimated that the rate of new orphans due to maternal cancer mortality has declined over the past decades, which has benefited children. However, the increase in cancer incidence among mothers with minor children showed an opposite trend, indicating more intergenerational consequences due to cancer.
Downloads
References
Tran KB, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, et al. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2022;400(10352):563–91.
https://doi.org/10.1016/S0140-6736(22)01438-6 DOI: https://doi.org/10.1016/S0140-6736(22)01438-6
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229–63.
https://doi.org/10.3322/caac.21834 DOI: https://doi.org/10.3322/caac.21834
Bray F, Laversanne M, Weiderpass E, Soerjomataram I. The ever‐increasing importance of cancer as a leading cause of premature death worldwide. Cancer. 2021;127(16):3029–30.
https://doi.org/10.1002/cncr.33587 DOI: https://doi.org/10.1002/cncr.33587
Official Statistics of Finland (OSF). Causes of death [Internet]. Helsinki: Statistics Finland; 2024. [cited date 9.12.2024] Available from: https://stat.fi/en/statistics/ksyyt
Kailaheimo-Lönnqvist S, Erola J. Child’s age at parental death and university education. Eur Soc. 2020;22(4):433–55. https://doi.org/ 10.1080/14616696.2020.1719179 DOI: https://doi.org/10.1080/14616696.2020.1719179
Klinte M, Hermansen A, Andersen A-MN, Urhoj SK. Joint exposure to parental cancer and income loss during childhood and the child’s socioeconomic position in early adulthood: a Danish and Norwegian register-based cohort study. J Epidemiol Community Health. 2023;77(2):89.
https://doi.org/10.1136/jech-2022-219374 DOI: https://doi.org/10.1136/jech-2022-219374
Li J, Vestergaard M, Cnattingius S, Gissler M, Bech BH, Obel C, et al. Mortality after parental death in childhood: a nationwide cohort study from three Nordic Countries. PLoS Med. 2014;11(7):e1001679.
https://doi.org/10.1371/journal.pmed.1001679 DOI: https://doi.org/10.1371/journal.pmed.1001679
Guida F, Kidman R, Ferlay J, Schüz J, Soerjomataram I, Kithaka B, et al. Global and regional estimates of orphans attributed to maternal cancer mortality in 2020. Nat Med. 2022;28(12):2563–72.
https://doi.org/10.1038/s41591-022-02109-2 DOI: https://doi.org/10.1038/s41591-022-02109-2
Pitkäniemi J, Malila N, Heikkinen S, Seppä K. Cancer in Finland 2022. Helsinki: Cancer Society of Finland; 2024. Awailable from https://syoparekisteri.fi/assets/files/2024/06/Cancer_2022_EN.pdf
Partanen VM, Heinävaara S, Sarkeala T, Pankakoski M. The cervical cancer screening programme in Finland: annual review 2023 [cited date 10.2.2025]. Available from: https://syoparekisteri.fi/assets/files/2023/10/Cervical-Cancer-Screening-Programme_Annual-Review-2023.pdf
NORDCAN. 5-year age-standardised relative survival (%) Females [cited date 10.2.2025]. Available from: https://nordcan.iarc.fr/en/dataviz/survival?sexes=2&years_available=1943_2021&years=1972_2021
Finnish Cancer Registry. https://tilastot.syoparekisteri.fi/syovat, data from 2024-10-02, version 2024-11-05-001 [cited date 10.2.2025]. Available from: https://cancerregistry.fi/statistics/cancer-statistics/
Leinonen MK, Miettinen J, Heikkinen S, Pitkäniemi J, Malila N. Quality measures of the population-based Finnish Cancer Registry indicate sound data quality for solid malignant tumours. Eur J Cancer. 2017;77:31–9.
https://doi.org/10.1016/j.ejca.2017.02.017 DOI: https://doi.org/10.1016/j.ejca.2017.02.017
Schwarz G. Estimating the dimension of a model. Ann Stat. 1978;6(2):461–4.
https://doi.org/10.1214/aos/1176344136 DOI: https://doi.org/10.1214/aos/1176344136
Niinikoski L, Heinävaara S, Sarkeala T, Lehtinen M. The breast cancer screening programme in Finland: annual review 2023 [cited date 30.6.2025]. Available from: https://syoparekisteri.fi/assets/files/2023/12/The_breast_cancer_screening_programme_in_Finland_annual_review_2023.pdf
Lei J, Ploner A, Elfström KM, Wang J, Roth A, Fang F, et al. HPV vaccination and the risk of invasive cervical cancer. N Engl J Med. 2020;383(14):1340–8.
https://doi.org/10.1056/NEJMoa1917338 DOI: https://doi.org/10.1056/NEJMoa1917338
Barnabas RV, Laukkanen P, Koskela P, Kontula O, Lehtinen M, Garnett GP. Epidemiology of HPV 16 and cervical cancer in Finland and the potential impact of vaccination: mathematical modelling analyses. PLoS Med. 2006;3(5):e138.
https://doi.org/10.1371/journal.pmed.0030138 DOI: https://doi.org/10.1371/journal.pmed.0030138
Shafik N, Ilmonen P, Viitasaari L, Sarkeala T, Heinävaara S. Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45–49 and 70–74. PLoS One. 2023;18(6):e0287486.
https://doi.org/10.1371/journal.pone.0287486 DOI: https://doi.org/10.1371/journal.pone.0287486
Additional Files
Published
How to Cite
License
Copyright (c) 2025 Kirsi M. Talala, Eetu E. Mäkinen, Karri J.M. Seppä, Tea M. Lallukka, Janne M. Pitkäniemi

This work is licensed under a Creative Commons Attribution 4.0 International License.
