Original Contribution | Published:

Inflammatory Bowel Disease

Population Based Paternity Rate and Partner Birth Outcomes Among Utah Men With Inflammatory Bowel Disease

The American Journal of Gastroenterology volume 112, pages 17221727 (2017) | Download Citation

Abstract

OBJECTIVES:

Crohn’s disease (CD) and ulcerative colitis (UC) impact an estimated 350,000 reproductive age men in the United States. The reproductive consequences are largely unknown. The objective of this study was to evaluate the effects of CD and UC on reproductive outcomes.

METHODS:

From the Utah Population Database, we identified a cohort of male patients with CD (1,245) and UC (1,368). Male-sibling controls were identified, and birth outcome data from offspring were obtained. Analyses for CD and UC were completed separately.

RESULTS:

Among UC patients (473) with at least one male sibling (1,020), 66% had offspring, which was not different compared with siblings (61%, P=0.16). Birth outcomes were not different between UC patients and male siblings: congenital malformations (UC 6% vs. 6%, P=0.99), perinatal complications (UC 35% vs. 31%, P=0.23), mean birth weight (UC 3,347 vs. 3,357 g, P=0.53), mean length of gestation (UC 39.0 vs. 39.1 weeks, P=0.54). Among CD patients (421) with at least one male sibling (833), 58% had offspring, which did not differ compared with siblings (57%, P=0.77). Similarly, there were no differences in partner birth outcomes: congenital malformations (CD 7% vs. 6%, P=0.27), perinatal complications (CD 35% vs. 32%, P=0.12), mean birth weight (CD 3,276 vs. 3,324 g, P=0.13), or mean length of gestation (38.8 vs. 39 weeks, P=0.24).

CONCLUSIONS:

We found no differences in paternity rate or female partner birth outcomes in Utah men with UC or CD compared with male-sibling controls. UC and CD do not appear to affect the reproductive outcomes of men in Utah.

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Author information

Affiliations

  1. Department of Surgery, School of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, USA

    • Luke Martin
    • , William Peche
    •  & James Hotaling
  2. Division of Gastroenterology, School of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, USA

    • Kathryn Peterson
    • , Stephanie Chan
    •  & Ryan Morton
  3. Utah Population Database, University of Utah, Huntsman Cancer Institute, Salt Lake City, Utah, USA

    • Yuan Wan
  4. Division of Epidemiology, School of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, USA

    • Chong Zhang
    •  & Angela P Presson
  5. Division of Urology, School of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, USA

    • James Hotaling

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Competing interests

Guarantor of the article: Luke Martin, MD.

Specific author contributions: LM, WP, KP, and JH: conception, design, data acquisition, interpretation, drafting, revisions, and approval. CZ and Presson: design, analysis, interpretation, drafting, revisions, and approval. SC and RM: data acquisition, interpretation, revisions, and approval. YW: design, data acquisition, interpretation, revisions, and approval.

Financial support: This study was funded by the co-author, WP, and by the Department of Surgery at the University of Utah. Indirect financial support in part for the statistical analysis and the Utah Population Database are as follows: Utah Population Database Support: “We thank the Pedigree and Population Resource of the Huntsman Cancer Institute, University of Utah (funded in part by the Huntsman Cancer Foundation) for its role in the ongoing collection, maintenance and support of the Utah Population Database (UPDB). We also acknowledge partial support for the UPDB through grant P30 CA2014 from the National Cancer Institute, University of Utah and from the University of Utah’s Program in Personalized Health and Center for Clinical and Translational Science.” “We thank the University of Utah Center for Clinical and Translational Science (CCTS) (funded by NIH Clinical and Translational Science Awards), the Pedigree and Population Resource, University of Utah Information Technology Services and Biomedical Informatics Core for establishing the Master Subject Index between the Utah Population Database, the University of Utah Health Sciences Center and Intermountain Health Care.” “Research was supported by the NCRR grant, “Sharing Statewide Health Data for Genetic Research” (R01 RR021746, G. Mineau, PI) with additional support from the Utah State Department of Health and the University of Utah.” Statistical Section Support: “The statistical section was supported by the University of Utah Study Design and Biostatistics Center, with funding in part from the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant 5UL1TR001067-02 (formerly 8UL1TR000105 and UL1RR025764).”

Potential competing interests: None.

Corresponding author

Correspondence to Luke Martin.

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DOI

https://doi.org/10.1038/ajg.2017.279

SUPPLEMENTARY MATERIAL is linked to the online version of the paper at http://www.nature.com/ajg