Background: Infertility is a global public health issue, affecting one in six individuals at some point in their lives. Menstrual cycle patterns serve as indicators of reproductive health, and tracking these patterns is a simple, noninvasive, and cost-effective method that all women should consider. This study aimed to analyze menstrual chart patterns, associated clinical profiles, interventions and fertility changes among women with hormone-related infertility at Bugando Medical Centre. Methods: A prospective longitudinal study that involved 230 women with hormonal infertility aged 18-44 years, was carried out at Bugando Medical Centre from March 2023 to March 2024. A pretested data collection tool was used. Mothers were instructed to chart their menstrual cycle biomarkers. Basic hormonal profiles were investigated. Data analysis was done according to the objectives using STATA version 15 and Pearson’s Chi2 test or Fisher’s Exact test was used to measure the association between menstrual patterns and clinical profiles. The significance level was determined at p-value <0.05. Results: The mean age of the participants was 32.2 ± 5.7 years. The years of infertility ranged from 1 to 20 with a median age of 4 [IQR=2–7] years. Participants with normal HbA1c conceived more than those with abnormal HbA1c; 34.7 % (41/118) versus 22.3 % (25/112), (p-value 0.037), while those with normal thyroid function 31.1% (61/196) conceived more compared to those with thyroid dysfunction 14.7% (5/34) (p-value 0.035). At the end of three months, most of them were ovulating. Among those who ovulated 28.7% conceived within three months. Conclusion: Answers to infertility are hidden within the menstrual cycle patterns. Menstrual cycle charting and lifestyle changes should be incorporated as tools in managing women with infertility.
Published in | European Journal of Preventive Medicine (Volume 12, Issue 6) |
DOI | 10.11648/j.ejpm.20241206.13 |
Page(s) | 146-153 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Menstrual Patterns, Basic Hormonal Profile, Lifestyle Changes, and Infertility
[1] | World Health Organizatio. Infertility prevalence estimates. Hum Reprod. 2023; 7–23. |
[2] | W O. Editorial WHO fact sheet on infertility gives hope to millions of infertile couples worldwide. Facts views Obgyn. 2020; 12(4): 249–51. |
[3] | World Health institution. Ovulation Disorders : World Health Organization (WHO) Categorization. Time Care. 2017; 1: 327781. |
[4] | Vigil P, Lyon C, Flores B, Rioseco H, Serrano F. Ovulation, a sign of health. Linacre Q. 2017; 84(4): 1–13. |
[5] | Ecochard R, Ph D, Duterque O, Leiva R, Bouchard T. Self-identification of the clinical fertile window and the ovulation period. Fertil Steril. 2015; 103(No. 5). |
[6] | Blackwell LF, Ph D, Cortés ME, Ph D. The Importance of Fertility Awareness in the Assessment of a Woman’s Health A Review. Linacre Q. 2012; 79(4): 426–50. |
[7] | Shibli-rahhal A, Schlechte J. H y p e r p ro l a c t i n e m i a and Infertility. Endocrinol Metab Clin North Am, 2011; 40: 52242. |
[8] | Jungheim ES, Travieso JL, Hopeman MM. Weighing the impact of obesity on female reproductive function and fertility. Nutr Rev. 2013; 71(10). |
[9] | Sakumoto T, Tokunaga Y, Tanaka H, Nohara M. Insulin resistance / hyperinsulinemia and reproductive disorders in infertile women. Reprod Med Biol. 2010; 9(10): 185–90. |
[10] | Ph D, Berglund L, Sc M. Menstrual cycle length is an age-independent marker of female fertility : results from 6271 treatment cycles of in vitro fertilization. Fertil Steril. 2008; 90(5): 1656. |
[11] | Prior JC, Naess M, Langhammer A, Forsmo S. Ovulation Prevalence in Women with Spontaneous Normal-Length Menstrual Cycles – A Population-Based Cohort from. PLoS One. 2015; 7: 1–14. |
[12] | Kolstad HA, Bonde JP, Hjøllund NH, Giwercman A, Skakkebæk NE, Olsen J. Menstrual cycle pattern and fertility : a prospective follow-up study of pregnancy and early embryonal loss in 295 couples who were planning their first pregnancy. Fertil Steril. 1999; 71(3): 490–6. |
[13] | Mumford SL, Steiner AZ, Pollack AZ, Perkins NJ, Filiberto AC, Albert PS, et al. The Utility of Menstrual Cycle Length as an Indicator of Cumulative Hormonal Exposure. Clin Endocrinol (Oxf). 2012; 97(October): 1871–9. |
[14] | Hambridge HL, Mumford SL, Mattison DR, Ye A, Pollack AZ, Bloom MS, et al. The influence of sporadic anovulation on hormone levels in ovulatory cycles. Hum Reprod. 2013; 28(6): 1687–94. |
[15] | Amisi CA. Markers of insulin resistance in Polycystic ovary syndrome women: An update. World J Diabetes. 2022; 13(3): 129–49. |
[16] | Hjollund NHI, Jensen TK, Bonde JPE, Henriksen TB, Andersson A, Skakkebæk NE. Is glycosylated haemoglobin a marker of fertility ? A follow-up study of first-pregnancy planners. Hum Reprod. 1999; 14(6): 1478–82. |
[17] | Norman RJ. Impact of obesity on female fertility and fertility treatment. WOMENS Heal. 2008; 4(2): 183–94. |
[18] | Al JE. et. Obesity and Reproductive function. Obs gynecol clin North. 2013; 39(4): 479–93. |
[19] | Sim KA, Partridge SR, Sainsbury A. Does weight loss in overweight or obese women improve fertility treatment outcomes ? A systematic review. Obes Rev. 2014; 15(10): 839–50. |
[20] | Kim EJ, Nho J. L ifestyle Lifestyle Interventions for Adults with Infertility. Lifestyle Med. 2022; 12(2): 69–71. |
[21] | Vigil P, Ceric F, Cortés ME, Klaus H. Usefulness of Monitoring Fertility from Menarche. J Pediatr Adolesc Gynecol. 2006 Jun; 19(3): 173–9. |
APA Style
Macharia, J., Kihunrwa, A., Matovelo, D., Hokororo, A. (2024). Abnormal Menstrual Chart Patterns, Their Treatment and Fertility Outcome Among Women with Hormonal Infertility at Bugando Medical Centre, Mwanza, Tanzania. European Journal of Preventive Medicine, 12(6), 146-153. https://doi.org/10.11648/j.ejpm.20241206.13
ACS Style
Macharia, J.; Kihunrwa, A.; Matovelo, D.; Hokororo, A. Abnormal Menstrual Chart Patterns, Their Treatment and Fertility Outcome Among Women with Hormonal Infertility at Bugando Medical Centre, Mwanza, Tanzania. Eur. J. Prev. Med. 2024, 12(6), 146-153. doi: 10.11648/j.ejpm.20241206.13
@article{10.11648/j.ejpm.20241206.13, author = {Juliet Macharia and Albert Kihunrwa and Dismas Matovelo and Adolfine Hokororo}, title = {Abnormal Menstrual Chart Patterns, Their Treatment and Fertility Outcome Among Women with Hormonal Infertility at Bugando Medical Centre, Mwanza, Tanzania }, journal = {European Journal of Preventive Medicine}, volume = {12}, number = {6}, pages = {146-153}, doi = {10.11648/j.ejpm.20241206.13}, url = {https://doi.org/10.11648/j.ejpm.20241206.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejpm.20241206.13}, abstract = {Background: Infertility is a global public health issue, affecting one in six individuals at some point in their lives. Menstrual cycle patterns serve as indicators of reproductive health, and tracking these patterns is a simple, noninvasive, and cost-effective method that all women should consider. This study aimed to analyze menstrual chart patterns, associated clinical profiles, interventions and fertility changes among women with hormone-related infertility at Bugando Medical Centre. Methods: A prospective longitudinal study that involved 230 women with hormonal infertility aged 18-44 years, was carried out at Bugando Medical Centre from March 2023 to March 2024. A pretested data collection tool was used. Mothers were instructed to chart their menstrual cycle biomarkers. Basic hormonal profiles were investigated. Data analysis was done according to the objectives using STATA version 15 and Pearson’s Chi2 test or Fisher’s Exact test was used to measure the association between menstrual patterns and clinical profiles. The significance level was determined at p-value Results: The mean age of the participants was 32.2 ± 5.7 years. The years of infertility ranged from 1 to 20 with a median age of 4 [IQR=2–7] years. Participants with normal HbA1c conceived more than those with abnormal HbA1c; 34.7 % (41/118) versus 22.3 % (25/112), (p-value 0.037), while those with normal thyroid function 31.1% (61/196) conceived more compared to those with thyroid dysfunction 14.7% (5/34) (p-value 0.035). At the end of three months, most of them were ovulating. Among those who ovulated 28.7% conceived within three months. Conclusion: Answers to infertility are hidden within the menstrual cycle patterns. Menstrual cycle charting and lifestyle changes should be incorporated as tools in managing women with infertility. }, year = {2024} }
TY - JOUR T1 - Abnormal Menstrual Chart Patterns, Their Treatment and Fertility Outcome Among Women with Hormonal Infertility at Bugando Medical Centre, Mwanza, Tanzania AU - Juliet Macharia AU - Albert Kihunrwa AU - Dismas Matovelo AU - Adolfine Hokororo Y1 - 2024/11/28 PY - 2024 N1 - https://doi.org/10.11648/j.ejpm.20241206.13 DO - 10.11648/j.ejpm.20241206.13 T2 - European Journal of Preventive Medicine JF - European Journal of Preventive Medicine JO - European Journal of Preventive Medicine SP - 146 EP - 153 PB - Science Publishing Group SN - 2330-8230 UR - https://doi.org/10.11648/j.ejpm.20241206.13 AB - Background: Infertility is a global public health issue, affecting one in six individuals at some point in their lives. Menstrual cycle patterns serve as indicators of reproductive health, and tracking these patterns is a simple, noninvasive, and cost-effective method that all women should consider. This study aimed to analyze menstrual chart patterns, associated clinical profiles, interventions and fertility changes among women with hormone-related infertility at Bugando Medical Centre. Methods: A prospective longitudinal study that involved 230 women with hormonal infertility aged 18-44 years, was carried out at Bugando Medical Centre from March 2023 to March 2024. A pretested data collection tool was used. Mothers were instructed to chart their menstrual cycle biomarkers. Basic hormonal profiles were investigated. Data analysis was done according to the objectives using STATA version 15 and Pearson’s Chi2 test or Fisher’s Exact test was used to measure the association between menstrual patterns and clinical profiles. The significance level was determined at p-value Results: The mean age of the participants was 32.2 ± 5.7 years. The years of infertility ranged from 1 to 20 with a median age of 4 [IQR=2–7] years. Participants with normal HbA1c conceived more than those with abnormal HbA1c; 34.7 % (41/118) versus 22.3 % (25/112), (p-value 0.037), while those with normal thyroid function 31.1% (61/196) conceived more compared to those with thyroid dysfunction 14.7% (5/34) (p-value 0.035). At the end of three months, most of them were ovulating. Among those who ovulated 28.7% conceived within three months. Conclusion: Answers to infertility are hidden within the menstrual cycle patterns. Menstrual cycle charting and lifestyle changes should be incorporated as tools in managing women with infertility. VL - 12 IS - 6 ER -