Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Aug 1;38(8):1601-1612.
doi: 10.1093/humrep/dead100.

Association of male fatty acid intake with fecundability among couples planning pregnancy

Affiliations

Association of male fatty acid intake with fecundability among couples planning pregnancy

Ruth J Geller et al. Hum Reprod. .

Abstract

Study question: To what extent is male fatty acid intake associated with fecundability among couples planning pregnancy?

Summary answer: We observed weak positive associations of male dietary intakes of total and saturated fatty acids with fecundability; no other fatty acid subtypes were appreciably associated with fecundability.

What is known already: Male fatty acid intake has been associated with semen quality in previous studies. However, little is known about the extent to which male fatty acid intake is associated with fecundability among couples attempting spontaneous conception.

Study design, size, duration: We conducted an internet-based preconception prospective cohort study of 697 couples who enrolled during 2015-2022. During 12 cycles of observation, 53 couples (7.6%) were lost to follow-up.

Participants/materials, setting, methods: Participants were residents of the USA or Canada, aged 21-45 years, and not using fertility treatment at enrollment. At baseline, male participants completed a food frequency questionnaire from which we estimated intakes of total fat and fatty acid subtypes. We ascertained time to pregnancy using questionnaires completed every 8 weeks by female participants until conception or up to 12 months. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% CIs for the associations of fat intakes with fecundability, adjusting for male and female partner characteristics. We used the multivariate nutrient density method to account for energy intake, allowing for interpretation of results as fat intake replacing carbohydrate intake. We conducted several sensitivity analyses to assess the potential for confounding, selection bias, and reverse causation.

Main results and the role of chance: Among 697 couples, we observed 465 pregnancies during 2970 menstrual cycles of follow-up. The cumulative incidence of pregnancy during 12 cycles of follow-up after accounting for censoring was 76%. Intakes of total and saturated fatty acids were weakly, positively associated with fecundability. Fully adjusted FRs for quartiles of total fat intake were 1.32 (95% CI 1.01-1.71), 1.16 (95% CI 0.88-1.51), and 1.43 (95% CI 1.09-1.88) for the second, third, and fourth vs the first quartile, respectively. Fully adjusted FRs for saturated fatty acid intake were 1.21 (95% CI 0.94-1.55), 1.16 (95% CI 0.89-1.51), and 1.23 (95% CI 0.94-1.62) for the second, third, and fourth vs the first quartile, respectively. Intakes of monounsaturated, polyunsaturated, trans-, omega-3, and omega-6 fatty acids were not strongly associated with fecundability. Results were similar after adjustment for the female partner's intakes of trans- and omega-3 fats.

Limitations, reasons for caution: Dietary intakes estimated from the food frequency questionnaire may be subject to non-differential misclassification, which is expected to bias results toward the null in the extreme categories when exposures are modeled as quartiles. There may be residual confounding by unmeasured dietary, lifestyle, or environmental factors. Sample size was limited, especially in subgroup analyses.

Wider implications of the findings: Our results do not support a strong causal effect of male fatty acid intakes on fecundability among couples attempting to conceive spontaneously. The weak positive associations we observed between male dietary fat intakes and fecundability may reflect a combination of causal associations, measurement error, chance, and residual confounding.

Study funding/competing interest(s): The study was funded by the National Institutes of Health, grant numbers R01HD086742 and R01HD105863. In the last 3 years, PRESTO has received in-kind donations from Swiss Precision Diagnostics (home pregnancy tests) and Kindara.com (fertility app). L.A.W. is a consultant for AbbVie, Inc. M.L.E. is an advisor to Sandstone, Ro, Underdog, Dadi, Hannah, Doveras, and VSeat. The other authors have no competing interests to report.

Trial registration number: N/A.

Keywords: diet; fatty acids; fecundability; fertility; prospective cohort study.

PubMed Disclaimer

Conflict of interest statement

In the last 3 years, PRESTO has received in-kind donations from Swiss Precision Diagnostics (home pregnancy tests) and Kindara.com (fertility app). Dr L.A.W. is a fibroid consultant for AbbVie, Inc. Dr M.L.E. is an advisor to Sandstone, Ro, Underdog, Dadi, Hannah, Doveras, and VSeat. The other authors have no conflicts of interest to report.

Figures

Figure 1.
Figure 1.
Restricted cubic spline curves for associations of male dietary fat intakes with fecundability in PRESTO. Results are from restricted cubic spline models with knots at 25th, 50th, and 75th percentiles, with values trimmed at the 1st and 99th percentiles, adjusted for the percent energy from total fat minus the respective fat subtype (continuous; not applicable to the model for total fat), percent energy from protein intake (continuous), percent energy from alcohol intake (continuous), total energy intake (kcal/day, continuous), age, BMI, educational attainment, physical activity, caffeine intake, and sugar-sweetened beverage intake of the male partner, as well as the age and BMI of the female partner and household income and DHQ version. The model for trans-fat is additionally adjusted for calendar year. BMI, body mass index; DHQ, Diet History Questionnaire; PRESTO, Pregnancy Study Online.

Similar articles

Cited by

References

    1. Agarwal A, Virk G, Ong C, Du Plessis SS.. Effect of oxidative stress on male reproduction. World J Mens Health 2014;32:1–17. - PMC - PubMed
    1. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO. et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000;32:S498–S516. - PubMed
    1. Albers MJ, Harnack LJ, Steffen LM, Jacobs DR.. 2006 marketplace survey of trans-fatty acid content of margarines and butters, cookies and snack cakes, and savory snacks. J Am Diet Assoc 2008;108:367–370. - PubMed
    1. Attaman JA, Toth TL, Furtado J, Campos H, Hauser R, Chavarro JE.. Dietary fat and semen quality among men attending a fertility clinic. Hum Reprod 2012;27:1466–1474. - PMC - PubMed
    1. Bonde JPE, Ernst E, Jensen TK, Hjollund NHI, Kolstad H, Scheike T, Giwercman A, Skakkebæk NE, Henriksen TB, Olsen J.. Relation between semen quality and fertility: a population-based study of 430 first-pregnancy planners. Lancet 1998;352:1172–1177. - PubMed

Publication types