Weight Disorders Among Infertile Female Clients Attending a North Central Nigerian Private Health Facility

Weight Disorders and Infertility

Authors

  • Dr. AbdulAzeez Ishola Musbau Department of Chemical Pathology and Immunology, University of Ilorin, Ilorin, Kwara State, Nigeria.
  • Prof. Biliaminu Abayomi Sikiru Department of Chemical Pathology and Immunology, University of Ilorin, Ilorin, Kwara State, Nigeria.
  • Mr Yunusa Muhammed Mubarak University of Ilorin, College of Health Sciences.
  • Prof Adeoye Oyewopo Department of Anatomy, University of Ilorin, Ilorin, Kwara State, Nigeria

DOI:

https://doi.org/10.59692/61f39h10

Keywords:

Female infertility, Obesity, Overweight, Nigeria, Anthropometry

Abstract

Background

Infertility affects an estimated 48 million women globally and is often accompanied by cultural and social stigma. Obesity and overweight, now epidemic worldwide, negatively influence reproductive health, while underweight is less common. Developing countries, due to lifestyle changes, are increasingly affected, adding to the burden of infertility management. Objectives

To determine the pattern and prevalence of weight disorders among female partners of infertile couples in a North‑Central Nigerian private hospital.

Methods

A four‑year retrospective evaluation (January 2015–December 2019) was conducted using anthropometric data of female partners of infertile couples attending a private clinic. Data were categorized to establish prevalence of weight disorders. Statistical analysis was performed using SPSS Version 21, with significance set at p<0.05. Results: Fifty‑two women were included, mean age 32.65±5.21 years (range: 22–42). Primary infertility was observed in 22 (42.3%) and secondary infertility in 30 (57.7%), with no significant age difference (p=0.475). Mean±SD weights were 77.01±15.07 kg for primary infertility and 86.4±15.30 kg for secondary infertility, a significant difference (p=0.018). Based on BMI, 4 (7.7%) had normal weight, 15 (28.8%) were overweight, and 33 (63.5%) were obese; none were underweight. Using Ponderal Index, 4 (7.7%) had normal weight, while 44 (92.3%) were overweight.

Conclusion

There was a high prevalence of weight disorders, particularly obesity, among infertile women in this study. Weight reduction through hypocaloric diet remains a cost‑effective strategy to improve natural fertility, spontaneous conception, and assisted reproductive therapy outcomes.

References

1. World Health Organization. Infertility [Internet]. 2025 [cited 2026 May 3]. Available from: https://www.who.int/news-room/fact-sheets/detail/infertility

2. Abebe MS, Afework M, Abaynew Y. Primary and secondary infertility in Africa: systematic review with meta-analysis. Fertil Res Pract. 2020;6(1):20. Published 2020 Dec 2. doi:10.1186/s40738-020-00090-3

3. Liu J, Qin Y, Liu H, et al. Global, regional, and national burden of female infertility and trends from 1990 to 2021 with projections to 2050 based on the GBD 2021 analysis. Sci Rep. 2025;15(1):17559. Published 2025 May 21. doi:10.1038/s41598-025-01498-x

4. Mascarenhas MN, Flaxman SR, Boerma T, Vanderpoel S, Stevens GA. National, regional, and global trends in infertility prevalence since 1990: a systematic analysis of 277 health surveys. PLoS Med. 2012;9(12):e1001356. doi:10.1371/journal.pmed.1001356

5. Roomaney R, Salie M, Jenkins D, et al. A scoping review of the psychosocial aspects of infertility in African countries. Reprod Health. 2024;21(1):123. Published 2024 Aug 23. doi:10.1186/s12978-024-01858-2

6. Xie Y, Ren Y, Niu C, Zheng Y, Yu P, Li L. The impact of stigma on mental health and quality of life of infertile women: A systematic review. Front Psychol. 2023;13:1093459. Published 2023 Jan 9. doi:10.3389/fpsyg.2022.1093459

7. Zheng L, Yang L, Guo Z, Yao N, Zhang S, Pu P. Obesity and its impact on female reproductive health: unraveling the connections. Front Endocrinol (Lausanne). 2024;14:1326546. Published 2024 Jan 9. doi:10.3389/fendo.2023.1326546

8. Jeong HG, Cho S, Ryu KJ, Kim T, Park H. Effect of weight loss before in vitro fertilization in women with obesity or overweight and infertility: a systematic review and meta-analysis. Sci Rep. 2024;14(1):6153. Published 2024 Mar 14. doi:10.1038/s41598-024-56818-4

9. Itoi S, Sampei M, Tatsumi T, et al. Within-individual changes in BMI and menstrual irregularity: a cohort study using real-world data. BMC Womens Health. 2026;26(1):124. Published 2026 Jan 28. doi:10.1186/s12905-026-04308-2

10. Fichman V, Costa RSSD, Miglioli TC, Marinheiro LPF. Association of obesity and anovulatory infertility. Einstein (Sao Paulo). 2020;18:eAO5150. Published 2020 Mar 9. doi:10.31744/einstein_journal/2020AO5150

11. Gedef GM, Taye EB, Mohammed OY, Abegaz MY, Asratie MH, Andualem F. Prevalence of infertility and its risk factors in Sub-Saharan Africa: a systematic review and meta-analysis. Contracept Reprod Med. 2025;10(1):73. Published 2025 Nov 17. doi:10.1186/s40834-025-00411-1

12. Okafor IA, Saanu OO, Olayemi O, Omigbodun AO. Characterization of primary female infertility in a Nigerian tertiary hospital: A case-control study. Afr J Reprod Health. 2022;26(8):66-82. doi:10.29063/ajrh2022/v26i8.7

13. Ehidiamhen, F.E., Nwigwe, I.C., Inyima, N.A., Okoawoh, A.I., Isaac, W.C., Jegede, O.O., Ogbata, S.E. and Basil, B. (2025) Prevalence and Determinants of Obesity Among Healthcare Workers in a Nigerian Tertiary Hospital: A CrossSectional Study. Open Journal of Pathology, 15, 1-15. https://doi.org/10.4236/ojpathology.2025.151001

14. Dankyau M, Shu’aibu JA, Oyebanji AE, Mamven OV. Prevalence and correlates of obesity and overweight in healthcare workers at a tertiary hospital. Journal of Medicine in the Tropics. 2016 Jul 1;18(2):55-9.

15. Bashir MA, Yahaya AI, Muhammad M, Yusuf AH, Mukhtar IG. Prevalence of central obesity in Nigeria: a systematic review and meta-analysis. Public Health. 2022;206:87-93. doi:10.1016/j.puhe.2022.02.020

16. Chukwuonye II, Ohagwu KA, Ogah OS, et al. Prevalence of overweight and obesity in Nigeria: Systematic review and meta-analysis of population-based studies. PLOS Glob Public Health. 2022;2(6):e0000515. Published 2022 Jun 10. doi:10.1371/journal.pgph.0000515

17. World Health Organization. Obesity and overweight [Internet]. 2025 [cited 2026 May 3]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight

18. Centers for Disease Control and Prevention. Adult BMI categories [Internet]. 2024 [cited 2026 May 3]. Available from: https://www.cdc.gov/bmi/adult-calculator/bmi-categories.html

19. Devajit Mohajan, Haradhan Kumar Mohajan. Ponderal Index: An Important Anthropometric Indicator for Physical Growth. JIMR [nternet]. 2023 Jun. 6 [cited 2026 Aug. 15];2(6):15-9. Available from: https://www.paradigmpress.org/jimr/article/view/630

20. Hussain WG, Akbar A, Shehzad F. Gaussian (Z-Score) percentiles of ponderal index (pi) in Pakistani children and adults: a quantitative approach to human growth analysis.MOJ Gerontol Ger. 2024;9(3):61-70. DOI: 10.15406/mojgg.2024.09.00329

21. Musbau AI, Biliaminu SA, Omokunmi YJ, Abimbola AB, Uthman HA, Yunusa MM, et al. Body mass index and ponderal index as biopredictors of cardiovascular parameters in apparently well Nigerian undergraduates. Ann Clin Cardio. 2026;8(2):107-10. doi: 10.4103/ACCJ/ACCJ_8_26

22. Nuttall FQ. Body Mass Index: Obesity, BMI, and Health: A Critical Review. Nutr Today. 2015;50(3):117-128. doi:10.1097/NT.0000000000000092

23. Huang B, DePaolo J, Judy RL, et al. Relationships between body fat distribution and metabolic syndrome traits and outcomes: A mendelian randomization study. PLoS One. 2023;18(10):e0293017. Published 2023 Oct 26. doi:10.1371/journal.pone.0293017

24. Agresti A. An introduction to categorical data analysis. 3rd ed. Hoboken (NJ): Wiley; 2019

25. Bobbitt Z. What is partial eta squared? (definition & example) [Internet]. Statology; 2022 [cited 2026 May 3]. Available from: https://www.statology.org/partial-eta-squared/

26. Lakens D. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Front Psychol. 2013;4:863. Published 2013 Nov 26. doi:10.3389/fpsyg.2013.00863

27. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-191. doi:10.3758/bf03193146

28. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-1160. doi:10.3758/BRM.41.4.1149

29. Maruf FA, Udoji NV. Prevalence and Socio-Demographic Determinants of Overweight and Obesity in a Nigerian Population. J Epidemiol. 2015;25(7):475-481. doi:10.2188/jea.JE20140099

30. Vaduneme Kingsley Oriji (FWACS), Chidi Onwuegbulam (FWACS). Prevalence of Polycystic Ovary Syndrome (PCOS) Among Infertile Women Attending Fertility Clinic at a University Teaching Hospital in Nigeria. J Gynecol Women’s Health. 2019: 15(5): 555922. DOI: 10.19080/JGWH.2019.15.555922

31. Ihim AC, Onyenekwe CC, Eze NN, Obi PC, Awalu JC, Ikwelle TA. Assessment of metabolic, cardiovascular, and anthropometric parameters in PCOS women attending gynecology clinic at Nnewi, Anambra State, Nigeria. Int J Res Sci Innov. 2024;11(5):707-716

32. Akpata, C.B., Uadia, P.O. and Okonofua, F.E. (2018) Prevalence of Polycystic Ovary Syndrome in Nigerian Women with Infertility: A Prospective Study of the Three Assessment Criteria. Open Journal of Obstetrics and Gynecology, 8, 1109-1120. https://doi.org/10.4236/ojog.2018.812112

33. Alnakash AH, Al-Tae'e NK. Polycystic ovarian syndrome: The correlation between the LH/FSH ratio and disease manifestations. Middle East Fertil Soc J. 2007;12(1):35-40

34. Makwe CC, Olamijulo JA, Balogun MR, et al. SAT363 The Prevalence And Phenotype Of Polycystic Ovary Syndrome (PCOS) In A Community-Based Population In Sub-Sahara Africa: The Nigeria-PEP Study. J Endocr Soc. 2023;7(Suppl 1):bvad114.1668. Published 2023 Oct 5. doi:10.1210/jendso/bvad114.1668

35. Balogun M, Coker O, Samuel T, et al. PMON245 Clinical Phenotypes of Polycystic Ovary Syndrome (PCOS) in Nigerian Women: Preliminary Results of the Nigeria PCOS Epidemiology & Phenotype (Nigeria-Pep) Study. J Endocr Soc. 2022;6(Suppl 1):A696. Published 2022 Nov 1. doi:10.1210/jendso/bvac150.1436

36. Hanana Hameed, Sajjad Ul Hasan, Muhammad Naveed Najeeb, Maha Sajjad, Sajida Imran, Abdul Wadood Shah. Impact of Obesity on Female Reproductive Hormones and Ovulatory Function. A Clinical and Biochemical Evaluation of Endocrine Disruption in Women of Reproductive Age. Pakistan Journal of Medical & Health Sciences [Internet]. 2023 Nov. 30 [cited 2026 Aug. 16];17(11):315. Available from: https://pjmhsonline.com/pjmhs/article/view/6365

37. Chukwuma FE, Nelson OE. Assessment of reproductive hormones in obese infertile women in southern (Niger Delta region), Nigeria. Int J Curr Res. 2021;13(9):18774-18780

38. Akpan E, Ekpenyong C. Urbanization Drift and Obesity Epidemic in Sub-Saharan Africa: A Review of the Situation in Nigeria. EJSD [Internet]. 2013Jun.1 [cited 2026Aug.15];2(2):141. Available from: https://ecsdev.org/ojs/index.php/ejsd/article/view/58

39. Adeloye D, Ige-Elegbede JO, Ezejimofor M, et al. Estimating the prevalence of overweight and obesity in Nigeria in 2020: a systematic review and meta-analysis. Ann Med. 2021;53(1):495-507. doi:10.1080/07853890.2021.1897665

40. Adeoye IA, Bamgboye EA, Omigbodun AO. Maternal obesity, lifestyle factors and associated pregnancy outcomes in Ibadan, Nigeria: a Nigerian cohort study. Sci Rep. 2025;15(1):11129. Published 2025 Apr 1. doi:10.1038/s41598-025-90079-z

41. Onubi OJ, Marais D, Aucott L, Okonofua F, Poobalan AS. Maternal obesity in Africa: a systematic review and meta-analysis. J Public Health (Oxf). 2016;38(3):e218-e231. doi:10.1093/pubmed/fdv138

42. GBD 2021 Adult BMI Collaborators. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet. 2025;405(10481):813-838. doi:10.1016/S0140-6736(25)00355-1

43. Lara-Esqueda A, Aguilar-Salinas CA, Velazquez-Monroy O, et al. The body mass index is a less-sensitive tool for detecting cases with obesity-associated co-morbidities in short stature subjects. Int J Obes Relat Metab Disord. 2004;28(11):1443-1450. doi:10.1038/sj.ijo.0802705

44. Deurenberg P, Yap M, van Staveren WA. Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord. 1998;22(12):1164-1171. doi:10.1038/sj.ijo.0800741

Downloads

Published

2026-09-14

How to Cite

Weight Disorders Among Infertile Female Clients Attending a North Central Nigerian Private Health Facility: Weight Disorders and Infertility. (2026). Journal of Obstetrics and Gynaecology of Eastern and Central Africa, 38(3). https://doi.org/10.59692/61f39h10

Similar Articles

1-10 of 41

You may also start an advanced similarity search for this article.