Sex of first child and breast cancer survival: a population-based study

Lukman Thalib1, Per Hall

  • 1Department of Community Medicine and Behavioural Sciences Biostatistics, Faculty of Medicine, Kuwait University, Safat, Kuwait. lthalib@hsc.edu.kw

Previous reports on the influence of the sex of a child and prognosis of a subsequent breast cancer have been conflicting. We took advantage of a number of large and good quality, nationwide Registries in Sweden to evaluate the prognostic value of the sex of the first child in breast cancer. A population-based cohort of 32,003 women born after 1935 and diagnosed with primary breast cancer between 1958 and 1997 was generated by linking a number of Swedish registries including Swedish Cancer Registry, Cause of Death Registry, Swedish Generation Registry and the Registry of Population and Population changes. Of these, 4,251 were nulliparous, 2,732 had only a boy and 2,497 had only a girl prior to diagnosis. We used this subpopulation to quantify the association between the sex of the first child and breast cancer-specific mortality, using the Cox proportional hazards. Sex of the child did not significantly influence the prognosis of breast cancer. Stratifying by age and adjusting for age at diagnosis, calendar period, time since last birth and age at first child did not alter the results. Our study, the largest up to date, failed to identify evidence to support the proposed association between the sex of the first child and breast cancer survival. Given the previous reports that advocated taking sex of the first child into consideration in making decisions related to breast cancer therapy, our findings are reassuring and clinically important.

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...