Literature DB >> 12673689

Children, family and cancer survival in Norway.

Øystein Kravdal1.   

Abstract

Models for all-cause mortality among 45,000 men and women with cancer in 12 different sites were estimated, using register and census data for complete Norwegian birth cohorts. This observed-survival method appeared to be an adequate approach. The results support the idea that women who were pregnant shortly before a breast cancer diagnosis may have a poorer prognosis than others. In principle, such an effect may also reflect that these women have a young child during the follow-up period and are burdened by that. However, this social explanation can hardly be very important, given the absence of a corresponding significant effect in men and for other cancer sites in women. Breast cancer is different from other malignancies also with respect to the effect of parenthood more generally, regardless of the timing of the pregnancies. On the whole, male and female cancer patients with children experience lower mortality than the childless, though without a special advantage associated with adult children. This suggests a social effect, perhaps operating through a link between parenthood, lifestyle and general health. No parity effect was seen for breast cancer, however, which may signal that the social effect is set off against an adverse physiologic effect of motherhood for this particular cancer. Among men, both marriage and parenthood were associated with a good prognosis. Married male cancer patients with children had mortality one-third lower than that among the childless and never-married. Women who had never married did not have the same disadvantage. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12673689     DOI: 10.1002/ijc.11071

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  14 in total

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3.  The effect of parity on cause-specific mortality among married men and women.

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4.  Parity-related mortality: shape of association among middle-aged and elderly men and women.

Authors:  Dena H Jaffe; Yehuda D Neumark; Zvi Eisenbach; Orly Manor
Journal:  Eur J Epidemiol       Date:  2009-01-13       Impact factor: 8.082

Review 5.  Associations of social networks with cancer mortality: a meta-analysis.

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Journal:  Crit Rev Oncol Hematol       Date:  2009-07-14       Impact factor: 6.312

6.  Prediagnosis reproductive factors and all-cause mortality for women with breast cancer in the breast cancer family registry.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-06       Impact factor: 4.254

7.  Changes over time in the effect of marital status on cancer survival.

Authors:  Håkon Kravdal; Astri Syse
Journal:  BMC Public Health       Date:  2011-10-14       Impact factor: 3.295

8.  Impact of marital status at diagnosis on survival and its change over time between 1973 and 2012 in patients with nasopharyngeal carcinoma: a propensity score-matched analysis.

Authors:  Cheng Xu; Xu Liu; Yu-Pei Chen; Yan-Ping Mao; Rui Guo; Guan-Qun Zhou; Ling-Long Tang; Ai-Hua Lin; Ying Sun; Jun Ma
Journal:  Cancer Med       Date:  2017-10-16       Impact factor: 4.452

9.  Living alone as a risk factor for cancer incidence, case-fatality and all-cause mortality: A nationwide registry study.

Authors:  Marko Elovainio; Sonja Lumme; Martti Arffman; Kristiina Manderbacka; Eero Pukkala; Christian Hakulinen
Journal:  SSM Popul Health       Date:  2021-06-11

10.  New malignancies after squamous cell carcinoma and melanomas: a population-based study from Norway.

Authors:  Trude E Robsahm; Margaret R Karagas; Judy R Rees; Astri Syse
Journal:  BMC Cancer       Date:  2014-03-19       Impact factor: 4.430

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