{"title":"Prevalence of Abnormal Semen Parameters among the Infertile Couples Seeking Infertility Treatment.","authors":"A Akhter, S H M Momen, K Fatema, S D Nath","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Infertility, affecting 60 to 80 million couples globally, is clinically defined as the inability to conceive after 12 months of unprotected sexual contact. Male factors contribute significantly, comprising 40.0% to 50.0% of infertility cases. While the prevalence ranges from 5.0% to 30.0% in developing countries, the exact global prevalence remains unknown. The study, conducted at CMH and Ibn Sina Hospital, Jashore from October 2020 to September 2023, utilized a cross-sectional approach; examining 4173 samples aged 21 to 41. Exclusion criteria considered known female reproductive abnormalities or medications impacting male fertility. Standardized procedures, in-depth questionnaires and SPSS software version 15.0 were employed, adhering to World Health Organization Guidelines. In a study of 4173 seeking infertility treatment, 63.0% had abnormal semen parameters, with 45.0% aged 31-40 years. Addiction patterns: 76.0% used tobacco, 14.0% reported alcohol and tobacco. Occupations: 43.0% government workers, 41.0% private workers. Marriage duration: 44.0% married 5-10 years, infertility duration: 64.0% less than 6 years. Semen analysis showed 40% with sperm count above 65 million, 46.0% with 60.0-90.0% motile sperm, and 78.0% with sperm morphology below 15.0%. The most prevalent abnormality is asthenozoospermia 59%, with oligozoospermia and azoospermia observed in 31% and 3% of cases, respectively. This study highlights the global complexity of male infertility, emphasizing genetic factors in infertile couples. Addressing sample bias and the lack of national epidemiological data underscores the ongoing need for comprehensive research to advance global infertility diagnosis and treatment.</p>","PeriodicalId":94148,"journal":{"name":"Mymensingh medical journal : MMJ","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mymensingh medical journal : MMJ","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Infertility, affecting 60 to 80 million couples globally, is clinically defined as the inability to conceive after 12 months of unprotected sexual contact. Male factors contribute significantly, comprising 40.0% to 50.0% of infertility cases. While the prevalence ranges from 5.0% to 30.0% in developing countries, the exact global prevalence remains unknown. The study, conducted at CMH and Ibn Sina Hospital, Jashore from October 2020 to September 2023, utilized a cross-sectional approach; examining 4173 samples aged 21 to 41. Exclusion criteria considered known female reproductive abnormalities or medications impacting male fertility. Standardized procedures, in-depth questionnaires and SPSS software version 15.0 were employed, adhering to World Health Organization Guidelines. In a study of 4173 seeking infertility treatment, 63.0% had abnormal semen parameters, with 45.0% aged 31-40 years. Addiction patterns: 76.0% used tobacco, 14.0% reported alcohol and tobacco. Occupations: 43.0% government workers, 41.0% private workers. Marriage duration: 44.0% married 5-10 years, infertility duration: 64.0% less than 6 years. Semen analysis showed 40% with sperm count above 65 million, 46.0% with 60.0-90.0% motile sperm, and 78.0% with sperm morphology below 15.0%. The most prevalent abnormality is asthenozoospermia 59%, with oligozoospermia and azoospermia observed in 31% and 3% of cases, respectively. This study highlights the global complexity of male infertility, emphasizing genetic factors in infertile couples. Addressing sample bias and the lack of national epidemiological data underscores the ongoing need for comprehensive research to advance global infertility diagnosis and treatment.