Welcome to visit Zhongnan Medical Journal Press Series journal website!

Association between female reproductive behavior and functional gastrointestinal disorders: a mediated Mendelian randomization study

Published on Aug. 04, 2026Total Views: 68 timesTotal Downloads: 24 timesDownloadMobile

Author: QIU Xiaohui 1 LYU Jing 1 YIN Hongtao 2 GONG Xia 1

Affiliation: 1.Department of General Practice, The First Hospital of Lanzhou University, Lanzhou 730000, China 2.Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou 730000, China

Keywords: Functional gastrointestinal disorders Female reproductive behavior Major depressive disorder Educational level Mendelian randomization

DOI: 10.12173/j.issn.1004-5511.202601023

Reference: Citation:Qiu XH, Lyu J, Yin HT, et al. Association between female reproductive behavior and functional gastrointestinal disorders: a mediated Mendelian randomization study[J]. Yixue Xinzhi Zazhi, 2026, 36(7): 771-781.DOI: 10.12173/j.issn.1004-5511.202601023.[Article in Chinese]

  • Abstract
  • Full-text
  • References
Abstract

Objective To investigate the causal association between female reproductive behavior and functional gastrointestinal disorders (FGIDs) using Mendelian randomization (MR).

Methods Based on genome-wide association study (GWAS) data, two-sample MR analysis was used to explore the genetic association between female reproductive behavior and FGIDs. Body mass index, major depressive disorder, and educational level were chosen as mediators, and a two-step MR analysis was performed to quantify the proportions of these associations mediated by each factor.

Results Two-sample MR analysis showed that later age at menarche [OR=0.87, 95%CI (0.77, 0.98), P=0.026] and menopausal status [OR=0.41, 95%CI (0.20, 0.85), P=0.016] were nominally associated with a reduced risk of functional constipation (PFDR > 0.05); earlier age at first live birth [OR=0.51, 95%CI (0.34, 0.77), P=0.001] and earlier age at first sexual intercourse [OR=0.61, 95%CI (0.49, 0.77), P < 0.001] were both significantly associated with an increased risk of irritable bowel syndrome (IBS) (PFDR < 0.05). Additionally, age at first sexual intercourse also showed nominal associations with functional constipation and functional dyspepsia, and number of live births showed nominal associations with functional constipation and IBS (all P < 0.05, PFDR > 0.05). The two-step MR analysis further demonstrated that major depressive disorder and educational attainment mediated 35.81% and 21.32% of the association between early age at first live birth and IBS, respectively. In the association between earlier age at first sexual intercourse and IBS risk, they mediated 37.57% and 33.77% of the effect, respectively.

Conclusion These findings suggest a negative causal relationship between age at menarche or menopausal status and functional constipation, between the age at first live birth or age at first sexual intercourse and IBS, between age at first sexual intercourse and functional constipation or functional dyspepsia, and between the number of live births and functional constipation or IBS, with mechanisms involving major depressive disorder and educational attainment potentially underlying this association.

Full-text
Please download the PDF version to read the full text: download
References

1. BlackCJ, DrossmanDA, TalleyNJ, et al. Functional gastrointestinal disorders: advances in understanding and management[J]. Lancet, 2020, 396(10263): 1664-1674. doi:10.1016/s0140-6736(20)32115-2

2. SperberAD, BangdiwalaSI, DrossmanDA, et al. Worldwide prevalence and burden of functional gastrointestinal disorders, results of Rome foundation global study[J]. Gastroenterology, 2021, 160(1): 99-114.e3. doi:10.1053/j.gastro.2020.04.014

3. KimYS, KimN. Sex-gender differences in irritable bowel syndrome[J]. J Neurogastroenterol Motil, 2018, 24(4): 544-558. doi:10.5056/jnm18082

4. KimYS, KimN. Functional dyspepsia: a narrative review with a focus on sex-gender differences[J]. J Neurogastroenterol Motil, 2020, 26(3): 322-334. doi:10.5056/jnm20026

5. VerkuijlSJ, MeindsRJ, TrzpisM, et al. The influence of demographic characteristics on constipation symptoms: a detailed overview[J]. BMC Gastroenterol, 2020, 20(1): 168. doi:10.1186/s12876-020-01306-y

6. ChangL, TonerBB, FukudoS, et al. Gender, age, society, culture, and the patient's perspective in the functional gastrointestinal disorders[J]. Gastroenterology, 2006, 130(5): 1435-1446. doi:10.1053/j.gastro.2005.09.071

7. SimrénM, AbrahamssonH, SvedlundJ, et al. Quality of life in patients with irritable bowel syndrome seen in referral centers versus primary care: the impact of gender and predominant bowel pattern[J]. Scand J Gastroenterol, 2001, 36(5): 545-552. doi:10.1080/003655201750153476

8. DanceyCP, Hutton-YoungSA, MoyeS, et al. Perceived stigma, illness intrusiveness and quality of life in men and women with irritable bowel syndrome[J]. Psychol Health Med, 2002, 7(4): 381-395. doi:10.1080/1354850021000015203

9. Pinto-SanchezMI, FordAC, AvilaCA, et al. Anxiety and depression increase in a stepwise manner in parallel with multiple FGIDs and symptom severity and frequency[J]. Am J Gastroenterol, 2015, 110(7): 1038-1048. doi:10.1038/ajg.2015.128

10. ChoghakhoriR, AbbasnezhadA, AmaniR, et al. Sex-related differences in clinical symptoms, quality of life, and biochemical factors in irritable bowel syndrome[J]. Dig Dis Sci, 2017, 62(6): 1550-1560. doi:10.1007/s10620-017-4554-6

11. MeierR, BeglingerC, DederdingJP, et al. Influence of age, gender, hormonal status and smoking habits on colonic transit time[J]. Neurogastroenterol Motil, 1995, 7(4): 235-238. doi:10.1111/j.1365-2982.1995.tb00231.x

12. PengHY, ChenGD, LaiCY, et al. PI3K modulates estrogen-dependent facilitation of colon-to-urethra cross-organ reflex sensitization in ovariectomized female rats[J]. J Neurochem, 2010, 113(1): 54-66. doi:10.1111/j.1471-4159.2010.06577.x

13. CryanJF, DinanTG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour[J]. Nat Rev Neurosci, 2012, 13(10): 701-712. doi:10.1038/nrn3346

14. GrenhamS, ClarkeG, CryanJF, et al. Brain-gut-microbe communication in health and disease[J]. Front Physiol, 2011, 2: 94. doi:10.3389/fphys.2011.00094

15. DinanTG, CryanJF. Regulation of the stress response by the gut microbiota: implications for psychoneuroendocrinology[J]. Psychoneuroendocrinology, 2012, 37(9): 1369-1378. doi:10.1016/j.psyneuen.2012.03.007

16. DinanTG, CryanJF. Melancholic microbes: a link between gut microbiota and depression?[J]. Neurogastroenterol Motil, 2013, 25(9): 713-719. doi:10.1111/nmo.12198

17. ClarkeG, GrenhamS, ScullyP, et al. The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner[J]. Mol Psychiatry, 2013, 18(6): 666-673. doi:10.1038/mp.2012.77

18. LabusJS, GuptaA, CoveleskieK, et al. Sex differences in emotion-related cognitive processes in irritable bowel syndrome and healthy control subjects[J]. Pain, 2013, 154(10): 2088-2099. doi:10.1016/j.pain.2013.06.024

19. TillischK, MayerEA, LabusJS. Quantitative Meta-analysis identifies brain regions activated during rectal distension in irritable bowel syndrome[J]. Gastroenterology, 2011, 140(1): 91-100. doi:10.1053/j.gastro.2010.07.053

20. González-MontelongoMC, MarínR, GómezT, et al. Androgens induce nongenomic stimulation of colonic contractile activity through induction of calcium sensitization and phosphorylation of LC20 and CPI-17[J]. Mol Endocrinol, 2010, 24(5): 1007-1023. doi:10.1210/me.2009-0472

21. MooreJ, BarlowD, JewellD, et al. Do gastrointestinal symptoms vary with the menstrual cycle?[J]. BJOG, 1998, 105(12): 1322-1325. doi:10.1111/j.1471-0528.1998.tb10014.x

22. VliagoftisH, DimitriadouV, BoucherW, et al. Estradiol augments while tamoxifen inhibits rat mast cell secretion[J]. Int Arch Allergy Immunol, 1992, 98(4): 398-409.

23. MehtaRS, StallerK. Menopausal transition and bowel disturbances: a step in the right direction[J]. Menopause, 2018, 25(6): 589-590. doi:10.1097/gme.0000000000001110

24. Gilmartin-ThomasJF, LiewD, HopperI. Observational studies and their utility for practice[J]. Aust Prescr, 2018, 41(3): 82-85. doi:10.18773/austprescr.2018.017

25. BurgessS, Davey SmithG, DaviesNM, et al. Guidelines for performing Mendelian randomization investigations: update for summer 2023[J]. Wellcome Open Res, 2023, 4: 186. doi:10.12688/wellcomeopenres.15555.3

26. CarterAR, SandersonE, HammertonG, et al. Mendelian randomisation for mediation analysis: current methods and challenges for implementation[J]. Eur J Epidemiol, 2021, 36(5): 465-478. doi:10.1007/s10654-021-00757-1

27. SkrivankovaVW, RichmondRC, WoolfBAR, et al. Strengthening the reporting of observational studies in epidemiology using Mendelian randomization: the STROBE-MR statement[J]. JAMA, 2021, 326(16): 1614-1621. doi:10.1001/jama.2021.18236

28. BurgessS, SmallDS, ThompsonSG. A review of instrumental variable estimators for Mendelian randomization[J]. Stat Methods Med Res, 2017, 26(5): 2333-2355. doi:10.1177/0962280215597579

29. VerbanckM, ChenCY, NealeB, et al. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases[J]. Nat Genet, 2018, 50(5): 693-698. doi:10.1038/s41588-018-0099-7

30. BowdenJ, Del GrecoMF, MinelliC, et al. Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption[J]. Int J Epidemiol, 2019, 48(3): 728-742. doi:10.1093/ije/dyy258

31. SudlowC, GallacherJ, AllenN, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age[J]. PLoS Med, 2015, 12(3): e1001779. doi:10.1371/journal.pmed.1001779

32. KurkiMI, KarjalainenJ, PaltaP, et al. FinnGen provides genetic insights from a well-phenotyped isolated population[J]. Nature, 2023, 613(7944): 508-518.

33. HongY, ZengML. International classification of diseases (ICD)[EB/OL]. (2022)[2025-12-01]. https://www.imrpress.com/journal/KO/49/7/10.5771/0943-7444-2022-7-496. doi:10.5771/0943-7444-2022-7-496

34. HowardDM, AdamsMJ, ClarkeTK, et al. Genome-wide Meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions[J]. Nat Neurosci, 2019, 22(3): 343-352. doi:10.1038/s41593-018-0326-7

35. SlobEAW, BurgessS. A comparison of robust Mendelian randomization methods using summary data[J]. Genet Epidemiol, 2020, 44(4): 313-329. doi:10.1002/gepi.22295

36. BowdenJ, Davey SmithG, BurgessS. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression[J]. Int J Epidemiol, 2015, 44(2): 512-525. doi:10.1093/ije/dyv080

37. BowdenJ, Davey SmithG, HaycockPC, et al. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator[J]. Genet Epidemiol, 2016, 40(4): 304-314. doi:10.1002/gepi.21965

38. GrecoMF, MinelliC, SheehanNA, et al. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome[J]. Stat Med, 2015, 34(21): 2926-2940. doi:10.1002/sim.6522

39. BondEF, HeitkemperMM, PerigoR. Gastric emptying and gastric-intestinal transit in rats with varying ovarian hormone status[J]. Nurs Res, 1996, 45(4): 218-224. doi:10.1097/00006199-199607000-00005

40. WuCL, HungCR, ChangFY, et al. Involvement of cholecystokinin receptor in the inhibition of gastrointestinal motility by estradiol in ovariectomized rats[J]. Scand J Gastroenterol, 2002, 37(10): 1133-1139. doi:10.1080/003655202760373326

41. ChenTS, DoongML, ChangFY, et al. Effects of sex steroid hormones on gastric emptying and gastrointestinal transit in rats[J]. Am J Physiol, 1995, 268(1 Pt 1): G171-G176. doi:10.1152/ajpgi.1995.268.1.g171

42. Santos-MarcosJA, Rangel-ZuñigaOA, Jimenez-LucenaR, et al. Influence of gender and menopausal status on gut microbiota[J]. Maturitas, 2018, 116: 43-53. doi:10.1016/j.maturitas.2018.07.008

43. KaplowitzPB, SloraEJ, WassermanRC, et al. Earlier onset of puberty in girls: relation to increased body mass index and race[J]. Pediatrics, 2001, 108(2): 347-353. doi:10.1542/peds.108.2.347

44. GalvaoTF, SilvaMT, ZimmermannIR, et al. Pubertal timing in girls and depression: a systematic review[J]. J Affect Disord, 2014, 155: 13-19. doi:10.1016/j.jad.2013.10.034

45. MendleJ, RyanRM, MckoneKMP. Early menarche and internalizing and externalizing in adulthood: explaining the persistence of effects[J]. J Adolesc Health, 2019, 65(5): 599-606. doi:10.1016/j.jadohealth.2019.06.004

46. PrinceC, JoinsonC, KwongASF, et al. The relationship between timing of onset of menarche and depressive symptoms from adolescence to adulthood[J]. Epidemiol Psychiatr Sci, 2023, 32: e60. doi:10.1017/s2045796023000707

47. HeZ, YuQ, HeB, et al. Can depression lead to chronic constipation, or does chronic constipation worsen depression? NHANES 2005-2010 and bidirectional Mendelian randomization analyses[J]. BMC Gastroenterol, 2024, 24(1): 361. doi:10.1186/s12876-024-03454-x

48. BallouS, KatonJ, SinghP, et al. Chronic diarrhea and constipation are more common in depressed individuals[J]. Clin Gastroenterol Hepatol, 2019, 17(13): 2696-2703. doi:10.1016/j.cgh.2019.03.046

49. 王玲, 樊文彬, 倪嘉淳, 等. 功能性便秘与焦虑抑郁共病的研究进展[J]. 中华结直肠疾病电子杂志, 2024, 13(5): 411-416.WangL, FanWB, NiJC, et al. Research progress on functional constipation and comorbid anxiety and depression[J]. Chinese Journal of Colorectal Diseases (Electronic Edition), 2024, 13(5): 411-416.

50. LuZ, SunY, LiaoY, et al. Identifying causal associations between early sexual intercourse or number of sexual partners and major depressive disorders: a bidirectional two-sample Mendelian randomization analysis[J]. J Affect Disord, 2023, 333: 121-129. doi:10.1016/j.jad.2023.04.079

51. LydiardRB. Irritable bowel syndrome, anxiety, and depression: what are the links?[J]. J Clin Psychiatry, 2001, 62 Suppl 8: 38-45

52. SibelliA, ChalderT, EverittH, et al. A systematic review with Meta-analysis of the role of anxiety and depression in irritable bowel syndrome onset[J]. Psychol Med, 2016, 46(15): 3065-3080. doi:10.1017/s0033291716001987

53. SunG, JiangY. Major depressive disorder and irritable bowel syndrome risk: a Mendelian randomization study[J]. PLoS One, 2024, 19(3): e0300251. doi:10.1371/journal.pone.0300251

54. GongW, GuoP, LiY, et al. Role of the gut-brain axis in the shared genetic etiology between gastrointestinal tract diseases and psychiatric disorders: a genome-wide pleiotropic analysis[J]. JAMA Psychiatry, 2023, 80(4): 360-370. doi:10.1001/jamapsychiatry.2022.4974

55. CarabottiM, SciroccoA, MaselliMA, et al. The gut-brain axis: interactions between enteric microbiota, central and enteric nervous systems[J]. Ann Gastroenterol, 2015, 28(2): 203-209.

56. MayerEA, SavidgeT, ShulmanRJ. Brain-gut microbiome interactions and functional bowel disorders[J]. Gastroenterology, 2014, 146(6): 1500-1512. doi:10.1053/j.gastro.2014.02.037

57. SonYJ, JunEY, ParkJH. Prevalence and risk factors of irritable bowel syndrome in Korean adolescent girls: a school-based study[J]. Int J Nurs Stud, 2009, 46(1): 76-84. doi:10.1016/j.ijnurstu.2008.07.006

58. Rodríguez-HernándezCF, CascallarE, KyndtE. Socio-economic status and academic performance in higher education: a systematic review[J]. Educ Res Rev, 2020, 29: 100305. doi:10.1016/j.edurev.2019.100305

59. RehkopfDH, HaughtonLT, ChenJT, et al. Monitoring socioeconomic disparities in death: comparing individual-level education and area-based socioeconomic measures[J]. Am J Public Health, 2006, 96(12): 2135-2138. doi:10.2105/ajph.2005.075408

60. WagstaffA. Poverty and health sector inequalities[J]. Bull World Health Organ. 2002, 80(2): 97-105.

61. PickettKE, WilkinsonRG. Income inequality and health: a causal review[J]. Soc Sci Med, 2015, 128: 316-326. doi:10.1016/j.socscimed.2014.12.031

62. WilkinsonRG, PickettKE. Income inequality and population health: a review and explanation of the evidence[J]. Soc Sci Med, 2006, 62(7): 1768-1784. doi:10.1016/j.socscimed.2005.08.036

63. CostasT, Gomes-FerreiraM. Post-maternity Body Changes: Obstetric Fundamentals and Surgical Reshaping[M]. Berlin, Germany: Springer, 2023: 9-23. doi:10.1007/978-3-030-43840-1_2

64. ReidV, Meadows-OliverM. Postpartum depression in adolescent mothers: an integrative review of the literature[J]. J Pediatr Health Care, 2007, 21(5): 289-298. doi:10.1016/j.pedhc.2006.05.010

65. MercerRT. Nursing support of the process of becoming a mother[J]. J Obstet Gynecol Neonatal Nurs, 2006, 35(5): 649-651. doi:10.1111/j.1552-6909.2006.00086.x

Popular Papers