Role of Lifestyle Risk Factors for Azoospermia: Insights from Ebenezer Clinical Laboratory - Kampala Capital City, Uganda

Topher Nuwagaba

Spectrum Diagnostic Laboratories, Kampala, Uganda.

Stephen S. Kizza

Bugema University Graduate School, Kampala, Uganda.

Lawrence Sserwanga

National Health Laboratories and Diagnostics Services, Kampala, Uganda.

Eria Muwanguzi

Uganda National Council for Science and Technology, Kampala, Uganda.

Christopher Ddamulira *

Bugema University Graduate School, Kampala, Uganda and Uganda National Council for Science and Technology, Kampala, Uganda.

*Author to whom correspondence should be addressed.


Abstract

Background: Azoospermia is one of the social problems affecting families/countries today in the whole world, which has resulted in an involuntary declining birth rate [1]. Worldwide, more than 70 million couples suffer from infertility, and it is estimated that azoospermia is found in up to 10 to 20 percent of the men who present to an infertility clinic [2]. Uganda is among the countries where male infertility is assumed to be a big challenge, with an estimated 5,000,000 people facing infertility, where 10 to 15% of the couples are unable to have children. Hence the current study aimed at establishing the risk factors associated with azoospermia among patients attending Ebenezer Clinical Laboratory, Kampala, Uganda.

Methods: A retrospective case-control study design was conducted on men who had visited the Microbiology Department for semen analysis from 1st January to 31st December 2015. Cases were azoospermic participants in the ECL database with no sperm cells in the ejaculate whereas controls were normozoospermic participants in the ECL database with normal sperm cells in the ejaculate. Systematic sampling was employed in the selection of respondents using their clinical records. The sample size was 204 (102 cases and 102 controls) clients, determined using a formula from the OpenEpi software package for Kelsey. The sample involved 102 cases and 102 with a ratio of cases to controls being 1:1. The study used a data abstraction structured questionnaire for data collection. Data was analyzed using descriptive statistics to generate frequencies and percentages. Chi-square test and logistic regression analyses were used to determine whether there was a significant association between risk factors and azoospermia with about 0.05 statistical significance.

Results: The study found out that tobacco use [AOR = 11.245, (CI 95% = 3.913 – 32.312), p = 0.000], marijuana use [AOR = 21.975, (CI 95% = 5.710 -44.571), p = 0.000], type of underwear [AOR = 9.366, (CI 95% = 4.360 – 19.9471), p = 0.000] were statistically significant factors associated with azoospermia among patients

Conclusions: Interventions should be focused on improving these factors, such as minimizing tobacco and marijuana usage among the populations, as well as sensitizing the males on the dangers of wearing tight underwear.

Keywords: Azoospermia, normozoospermia, sperm count, lifestyle-related determinants, ebenezer clinical laboratory, Kampala Capital City Authority


How to Cite

Nuwagaba , T., Kizza, S. S., Sserwanga , L., Muwanguzi, E., & Ddamulira , C. (2024). Role of Lifestyle Risk Factors for Azoospermia: Insights from Ebenezer Clinical Laboratory - Kampala Capital City, Uganda. International Journal of TROPICAL DISEASE & Health, 45(6), 117–126. https://doi.org/10.9734/ijtdh/2024/v45i61544

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References

Romo-Yáñez J. AZFa, AZFb, AZFc and gr/gr Y-chromosome microdeletions in azoospermic and severe oligozoospermic patients, analyzed from a neural network perspective Microdeleciones de las regiones AZFa, AZFb, AZFc y gr/gr del cromosoma Y en pacientes con azoospermia y oligozoospermia severa, análisis desde una perspectiva de red neuronal,.Cir. 2022;90(2):202–209. DOI: 10.24875/CIRU.20001058

Kumar N, Choudhari AR, Singh AK. Prevalence of male factor infertility in last ten years at a rural tertiary care centre of central India: A retrospective analysis, Indian J. Obstet. Gynecol. Res. 2015;2(3):132.

DOI: 10.5958/2394-2754.2015.00002.8

R. Zhou. Identifying novel copy number variants in Azoospermia factor regions and evaluating their effects on spermatogenic impairment. Front. Genet. 2019;10:427.

DOI: 10.3389/fgene.2019.00427.

Benbella A, Aboulmakarim S, Hardizi H, Zaidouni A, Bezad R. Infertility in the moroccan population: Major risk factors encountered in the reproductive health centre in rabat. Pan Afr. Med. J. 2018;30:1–9.

DOI: 10.11604/pamj.2018.30.195.13849

Yuen W, Golin AP, Flannigan R, Schlegel PN. Histology and sperm retrieval among men with y chromosome microdeletions, Transl. Androl. Urol. 2021;10(3):1442–1456. DOI: 10.21037/tau.2020.03.35

Basic M, Mitic D, Krstic M, Cvetkovic J, Tobacco and alcohol as factors for male infertility - a public health approach,” J. Public Heal. (United Kingdom), 2023;45(2):E241–E249. DOI: 10.1093/pubmed/fdac042

Kang C, Punjani N, Schlegel PN, Reproductive chances of men with azoospermia due to spermatogenic dysfunction. J. Clin. Med. 2021;10(7). DOI: 10.3390/jcm10071400

Abarikwu SO. Nigerian Male reproductive health African Journal of Reproductive Health. Afr. J. Reprod. Health. 2013; 17(4):150.

Sharma A. Male infertility; Evidences, risk factors, causes, diagnosis and management in human. Ann. Clin. Lab. Res. 2017;05(03):1–10. DOI: 10.21767/2386-5180.1000188

Hokenstad AN, Leonard PH, Weaver AL, Coddington CC, Morbeck DE. Trends in sperm morphology after implementation of a quality improvement initiative. Fertil. Steril. 2012;98(3):S247–S248.

DOI: 10.1016/j.fertnstert.2012.07.902

Wavumbah NW, Mwadime J, Kavurani R, Agrobiological Records Agrobiological Records. 2020;7182(2016):6–10.

Krausz C, Cioppi F. Genetic factors of non-obstructive azoospermia: Consequences on patients’ and offspring health. J. Clin. Med. 2021;10(17). DOI: 10.3390/jcm10174009

Rothman CM, Sims CA, Stotts CL. Sertoli cell only syndrome. Fertil. Steril. 1982;38(3):388–390. DOI: 10.1016/S0015-0282(16)46526-X

ECL Annual Report, Ebenezer Clinical Laboratory Annual Report; 2015.

Sullivan KM, Soe MM. Sample size for a cross-sectional , cohort , or clinical trial studies sample size for cross-sectional & cohort studies & clinical trials. 2007;1–3. DOI: 10.1126/science.1249098.Sleep

Zhao Y, Wu L. Research on emergency response policy for public health emergencies in China—based on content analysis of policy text and PMC-Index Model. Int. J. Environ. Res. Public Health. 2022;19(19). DOI: 10.3390/ijerph191912909.

Tang Z, Zhen Y, Zhang L, Liu X, Ma J. Prevalence and factors associated with metabolic syndrome in first hospitalization for major depression disorder patients. Sci. Rep. 2023;1–7.

DOI: 10.1038/s41598-023-42720-y.

Salama N, Blgozah S. Vaccine against arteriosclerosis: An update, Ther. Adv. Vaccines. 2020;9(6):259–261. DOI: 10.1177/https

Al-kandari AM, Al-enezi AN, Ibrahim H, Alkandari O. A population-based study of the epidemiology and the risk factors for male infertility in Kuwait. 2020;319–323. DOI: 10.4103/UA.UA.

Ali NH Jewad AM, Attayia AK. Investigate the seminal plasma biomarkers in differentiation between obstructive- and non-obstructive azoospermia,” Maaen J. Med. Sci. 2022;1(1). DOI: 10.55810/2789-9136.1007

Sapra KJ, Eisenberg ML, Kim S, Chen Z, GM. Buck Louis. Choice of underwear and male fecundity in a preconception cohort of couples. Andrology. 2016;4(3):500–508, DOI: 10.1111/andr.12163