Laboratory
Fertility and Well-Being
At a Glance
Projects
Publications
Team
Project
The Influence of Health and Cognition on Fertility
Kieron Barclay, Susie Lee; in Collaboration with Martin Kolk (Stockholm University, Sweden)
Detailed Description
This project focuses on the association between several dimensions of health and cognition and how these are associated with fertility outcomes in men and women. For men, we have expanded our research based on military conscription data from the Swedish population registers to examine how body mass index, height, cardiovascular fitness, and cognitive ability scores measured at ages 17–20 are associated with long-term fertility outcomes. For women, we have expanded the project by examining how the health-fertility nexus compares between the two sexes.
Our new works on men continue to fill data gaps in studying the health-fertility nexus in men. (Does this sentence serve as introduction to the paragraph below? If so, then I suggest you use a colon and move the paragraph one line up so that it makes for one complete paragraph.)
In a new study using Swedish population-level taxation and conscription registers, we found higher fertility among men with higher cognitive ability. (Does this mean: Men who have higher cognitive abilities or rather fertility increases with the level of cognitive ability?) Low income and low cognitive ability independently predicted low fertility and high childlessness. The positive association between cognitive ability and fertility is even stronger when comparing brothers in the same sibling group or examining the association between fertility and cognitive ability within different levels of completed education. We have also identified a strong association between BMI during early adulthood and completed fertility among Swedish men. For example, men who are obese have a relative probability of childlessness twice as high as men with a normal BMI. These patterns persist at different levels of educational attainment, within every decile of cumulative income between ages 18 and 40, and even among men who are married. However, we have found that health is also a very strong predictor of partnership formation. These results suggest that the links between fertility, BMI, and fitness are explained by partnership formation processes as well as (or, and so is) the link between health and underlying fecundity.
We have also expanded the above-mentioned research on Swedish men by examining sex and ethnic differences in the relationship between BMI and fertility. Using data from the US National Longitudinal Survey (NLSY79, i.e., the cohort born during the years 1957 through 1964), we replicated the general patterns of higher childlessness among those who were obese during early adulthood – now in both sexes – and across all three ethnic groups studied: Blacks, Hispanics, and whites. Our results show that (?) obesity affects women’s likelihood of remaining childless more than that of men. We have also seen another difference by ethnicity , differences that are more pronounced among women: For Black women, being underweight was associated with a lower chance of remaining childless later in life. This means that Black women who were underweight as teenagers have a higher chance of becoming a mother than Black women who were within the healthy range of BMI. This observation is contrary to what would be expected under the "buffering" hypothesis, which states that the sociocultural pressure to conform to a slender body type is not seen, or is seen to a lesser degree, (or: is seen less so) in ethnic minorities. Our study’s finding suggests that norms around slender body type may affect ethnic minorities, too.
Fertility Development, Health Care, Public Health, Medicine, and Epidemiology
Publications
Lee, D. S.; Semenchenko, H.:
MPIDR Working Paper WP-2023-011. (2023)

Gardner, E. J.; Neville, M. D. C.; Samocha, K. E.; Barclay, K. J.; Kolk, M.; Niemi, M. E. K.; Kirov, G.; Martin, H. C.; Hurles, M. E.:
Nature 603:7903, 858–863. (2022)
Lee, D. S.; Knittel, T.; Deschner, T.; Heistermann, M.; Higham, J. P.:
Hormones and Behavior 139:105123, 1–11. (2022)
Lee, D. S.; Nitsche, N.; Barclay, K. J.:
Population Studies, 1–21. (2022)

Kolk, M.; Barclay, K. J.:
Intelligence 84:101514, 1–11. (2021)

Lee, D. S.; Nitsche, N.; Barclay, K. J.:
MPIDR Working Paper WP-2021-012. (2021)

Barclay, K. J.; Kolk, M.:
Population and Development Review 46:4, 757–785. (2020)

Gardner, E. J.; Neville, M. D. C.; Samocha, K. E.; Barclay, K. J.; Kolk, M.; Niemi, M. E. K.; Kirov, G.; Martin, H. C.; Hurles, M. E.:
bioRxiv preprints. unpublished. (2020)

Kolk, M.; Barclay, K. J.:
MPIDR Working Paper WP-2020-010. (2020)

Barclay, K. J.; Kolk, M.:
MPIDR Working Paper WP-2019-020. (2019)

Kolk, M.; Barclay, K. J.:
Proceedings of the Royal Society B: Biological Sciences 286:1902. (2019)
Kolk, M.; Barclay, K. J.:
MPIDR Working Paper WP-2017-020. (2017)
