Kehinde Awodele, Sunday Charles Adeyemo, Eniola Dorcas, Olabode, A. Fasanu, Akintunde Rasaq Akindele, O. Adegboyega, Abidemi Olagunju, Olusegun Oyerinde, Lanre Olaitan
{"title":"尼日利亚奥松州生育诊所就诊夫妇中男性不育的主要病因:混合方法研究结果","authors":"Kehinde Awodele, Sunday Charles Adeyemo, Eniola Dorcas, Olabode, A. Fasanu, Akintunde Rasaq Akindele, O. Adegboyega, Abidemi Olagunju, Olusegun Oyerinde, Lanre Olaitan","doi":"10.1101/2024.08.10.24311725","DOIUrl":null,"url":null,"abstract":"Male infertility accounts for nearly half of the infertility cases globally. Seminal fluid analysis (SFA) is a critical diagnostic tool in the evaluation of male infertility. This study aimed to assess the implications of seminal fluid analysis on male infertility among patients attending fertility clinics in Osogbo, Nigeria. The study employed mixed-method approach of both qualitative (Key informant interview) among 10 participants and quantitative method (cross-sectional survey) using pre-tested structured questionnaire among 305 respondents. The respondents in the cross-sectional survey were also made to undergo seminal fluid analysis. The data from the qualitative study was analysed using Atlas ti while data from the quantitative study were analysed using IBM Statistical Product for Service Solution (SPSS) version 27. 0. Descriptive statistics was carried out for all variables. The univariate, bivariate and multivariate analysis were done using p<0.05 as level of significance. The seminal fluid analysis of the respondents revealed that 241 (79.0%) had Normal sperm count (>32 million per ejaculation) while 64 (21.0%) had abnormal sperm count. Only 101 (33.1%) had normal progressive motility (>32 percent) while 204 (66.9%) had abnormal (Athenospermia) progressive motility. 195 (63.9%) were found to have abnormal morphology (Teratospermia i.e., <4%). The qualitative analysis further analysed the implications of SFA parameters on infertile males and these were substantial, extending beyond physical health to encompass psychological, emotional, and social well-being. The study concluded that lifestyle modifications and early diagnosis as well as prompt treatment of medical conditions can curb high prevalence abnormality of SFA, hence reduce male infertility in our environment. The study recommends that advocacy program, early screening and public health education will further reduce the burden of infertility among the female folks.","PeriodicalId":18505,"journal":{"name":"medRxiv","volume":"1 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MAJOR AETIOLOGIES OF MALE INFERTILITY AMONG COUPLES ATTENDING FERTILITY CLINICS IN OSUN STATE, NIGERIA: FINDINGS FROM A MIXED METHOD STUDY\",\"authors\":\"Kehinde Awodele, Sunday Charles Adeyemo, Eniola Dorcas, Olabode, A. Fasanu, Akintunde Rasaq Akindele, O. Adegboyega, Abidemi Olagunju, Olusegun Oyerinde, Lanre Olaitan\",\"doi\":\"10.1101/2024.08.10.24311725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Male infertility accounts for nearly half of the infertility cases globally. Seminal fluid analysis (SFA) is a critical diagnostic tool in the evaluation of male infertility. This study aimed to assess the implications of seminal fluid analysis on male infertility among patients attending fertility clinics in Osogbo, Nigeria. The study employed mixed-method approach of both qualitative (Key informant interview) among 10 participants and quantitative method (cross-sectional survey) using pre-tested structured questionnaire among 305 respondents. The respondents in the cross-sectional survey were also made to undergo seminal fluid analysis. The data from the qualitative study was analysed using Atlas ti while data from the quantitative study were analysed using IBM Statistical Product for Service Solution (SPSS) version 27. 0. Descriptive statistics was carried out for all variables. The univariate, bivariate and multivariate analysis were done using p<0.05 as level of significance. The seminal fluid analysis of the respondents revealed that 241 (79.0%) had Normal sperm count (>32 million per ejaculation) while 64 (21.0%) had abnormal sperm count. Only 101 (33.1%) had normal progressive motility (>32 percent) while 204 (66.9%) had abnormal (Athenospermia) progressive motility. 195 (63.9%) were found to have abnormal morphology (Teratospermia i.e., <4%). The qualitative analysis further analysed the implications of SFA parameters on infertile males and these were substantial, extending beyond physical health to encompass psychological, emotional, and social well-being. The study concluded that lifestyle modifications and early diagnosis as well as prompt treatment of medical conditions can curb high prevalence abnormality of SFA, hence reduce male infertility in our environment. 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MAJOR AETIOLOGIES OF MALE INFERTILITY AMONG COUPLES ATTENDING FERTILITY CLINICS IN OSUN STATE, NIGERIA: FINDINGS FROM A MIXED METHOD STUDY
Male infertility accounts for nearly half of the infertility cases globally. Seminal fluid analysis (SFA) is a critical diagnostic tool in the evaluation of male infertility. This study aimed to assess the implications of seminal fluid analysis on male infertility among patients attending fertility clinics in Osogbo, Nigeria. The study employed mixed-method approach of both qualitative (Key informant interview) among 10 participants and quantitative method (cross-sectional survey) using pre-tested structured questionnaire among 305 respondents. The respondents in the cross-sectional survey were also made to undergo seminal fluid analysis. The data from the qualitative study was analysed using Atlas ti while data from the quantitative study were analysed using IBM Statistical Product for Service Solution (SPSS) version 27. 0. Descriptive statistics was carried out for all variables. The univariate, bivariate and multivariate analysis were done using p<0.05 as level of significance. The seminal fluid analysis of the respondents revealed that 241 (79.0%) had Normal sperm count (>32 million per ejaculation) while 64 (21.0%) had abnormal sperm count. Only 101 (33.1%) had normal progressive motility (>32 percent) while 204 (66.9%) had abnormal (Athenospermia) progressive motility. 195 (63.9%) were found to have abnormal morphology (Teratospermia i.e., <4%). The qualitative analysis further analysed the implications of SFA parameters on infertile males and these were substantial, extending beyond physical health to encompass psychological, emotional, and social well-being. The study concluded that lifestyle modifications and early diagnosis as well as prompt treatment of medical conditions can curb high prevalence abnormality of SFA, hence reduce male infertility in our environment. The study recommends that advocacy program, early screening and public health education will further reduce the burden of infertility among the female folks.