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Smoking and Infertility: Multivariable Regression and Mendelian Randomization Analyses in the Norwegian Mother, Father and Child Cohort Study

Abstract

Objective: To investigate the association between smoking and infertility.

Design: Prospective study.

Setting: Nationwide cohort.

Patients: 28,606 women and 27,096 men with questionnaire and genotype information from the Norwegian Mother, Father, and Child Cohort Study.

Intervention: Self-reported information on smoking (having ever smoked [both sexes], age at initiation [women only], cessation [women only], and cigarettes/week in current smokers [both sexes]) was gathered. Genetically predetermined levels or likelihood of presenting these traits were estimated for Mendelian randomization.

Main Outcome Measure: Infertility (time-to-pregnancy ≥12 months).

Results: Having ever smoked was unrelated to infertility in women or men. Higher smoking intensity in women was associated with greater infertility odds (+1 standard deviation [SD, 48 cigarettes/week]: odds ratio [OR] 1.19; 95% confidence interval [CI] 1.11-1.28; OR 1.12; 95% CI, 1.03-1.21), also after adjusting for the partner's tobacco use. Later smoking initiation (+1 SD [3.2 years]: OR 0.94; 95% CI, 0.88-0.99; OR 0.89; 95% CI, 0.84-0.95) and smoking cessation (vs. not quitting: OR 0.83; 95% CI, 0.75-0.91; OR 0.83; 95% CI, 0.75-0.93) were linked to decreased infertility in women. Nevertheless, Mendelian randomization results were not directionally consistent for smoking intensity and cessation and were estimated imprecisely in the 2-sample approach. In men, greater smoking intensity was not robustly associated with infertility in multivariable regression and Mendelian randomization.

Conclusions: We did not find robust evidence of an effect of smoking on infertility. This may be due to a true lack of effect, weak genetic instruments, or other kinds of confounding.

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References
1.
Baird D, Wilcox A . Cigarette smoking associated with delayed conception. JAMA. 1985; 253(20):2979-83. View

2.
Adena M, Gallagher H . Cigarette smoking and the age at menopause. Ann Hum Biol. 1982; 9(2):121-30. DOI: 10.1080/03014468200005591. View

3.
Yengo L, Sidorenko J, Kemper K, Zheng Z, Wood A, Weedon M . Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Hum Mol Genet. 2018; 27(20):3641-3649. PMC: 6488973. DOI: 10.1093/hmg/ddy271. View

4.
Baron J, La Vecchia C, Levi F . The antiestrogenic effect of cigarette smoking in women. Am J Obstet Gynecol. 1990; 162(2):502-14. DOI: 10.1016/0002-9378(90)90420-c. View

5.
Lawlor D, Tilling K, Davey Smith G . Triangulation in aetiological epidemiology. Int J Epidemiol. 2017; 45(6):1866-1886. PMC: 5841843. DOI: 10.1093/ije/dyw314. View