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BMI and Male Infertility: Impact on Sperm Parameters and Hormones Kh.Kadhem, Hussain; Al-Anbagi, Lamiaa Saoud Abbod; Hussein, Mohammed Ali
Academia Open Vol 8 No 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.6374

Abstract

This study aimed to assess the relationship between body mass index (BMI) and various indicators of men's reproductive health, specifically focusing on sperm parameters and levels of reproductive hormones, in individuals without recognized risk factors for infertility. The research employed a cross-sectional design, analyzing data from a sample of men. The results revealed a significant correlation between BMI and men's health indicators, demonstrating that BMI was associated with alterations in sperm parameters and reproductive hormone levels. Notably, BMI exhibited a negative connection with levels of both prolactin and testosterone. However, the findings emphasize the need for extensive, randomized, and prospective investigations to further elucidate the complex association between BMI and male infertility. These findings hold important implications for clinicians and researchers in the field, highlighting the importance of considering BMI as a potential risk factor for male infertility and advocating for additional research to inform diagnostic and therapeutic strategies targeting this population. Highlights: The study establishes a significant correlation between body mass index (BMI) and indicators of men's reproductive health, specifically sperm parameters and reproductive hormone levels. BMI demonstrates a negative association with prolactin and testosterone levels, highlighting the potential impact of BMI on male infertility. The findings underscore the importance of considering BMI as a potential risk factor for male infertility and emphasize the need for further research to inform diagnostic and therapeutic strategies Keywords : BMI, Male Infertility, Sperm Parameters, Reproductive Hormones, Risk Factors
Predictive Roles of Some Electrolytes and Biochemical Markers in The Pathophysiology of Renal Failure Diseases; Case-Control Study: Prediksi Peran Beberapa Elektrolit dan Penanda Biokimia dalam Patofisiologi Penyakit Gagal Ginjal; Studi Kasus-Kontrol Hussein, Mohammed Ali; Hussein, Arwa Alaa; Razzaq, Alaa Siham Abdul; Sobeih, Enas Saad
Indonesian Journal on Health Science and Medicine Vol. 1 No. 3 (2024): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijhsm.v2i1.59

Abstract

Objective; detection of the predictive role of some electrolytes and biochemical indicators in the pathophysiology of renal failure diseases. Methods; The present investigation was done in Diyala province within time (July-November 2024). We have 120 blood samples from hemodialysis patients that sleeping in the Ibn-Sina Center for Kidney Dialysis / Ba’aqubah Teaching Hospital. In addition, we collected 80 blood samples from people without diseases (healthy) and depended on them as a control group. Serum levels of all biochemical indicators in all samples of participants were quantified by Cobas e411 machine. SPSS v. 22.0 with Prism v.10 programs were based for the analysis our data. Results; Present outcomes showed that most renal failure patients were males (51.7%) within age groups 41-60 years (48.3%) and living in rural areas (51.7%). Additionally, most patients were no smokers (90.0%) with underweight BMI (33.33%) . Levels of RBS, creatinine, sodium, potassium and urea were highest in patients compared to controls, while the levels of calcium and iron were lowest in patients versus controls with significant difference (p<0.05). ROC curve results showed the urea scored highest sensitivity and specificity (100% and 94%) at cut off (40.50), followed by creatinine (100% and 89%) and albumin (88% and 86%) at cut off values (1.50 and 3.90) respectively, with significant differences (p<0.05), in diagnosis renal failure patients. pearson correlation coefficient showed there is negative significant correlation between RBS and creatinine ( r=-0.189* and p= 0.039), albumin and RBS ( r=-0.310* and p= 0.001), and a positive significant correlation between albumin and sodium (r=-0.227* and p= 0.013) and iron with sodium (r=-0.182* and p= 0.046). Conclusions; We concluded that renal failure disease has more effect on patients >40 years with underweight BMI. No effect of gender, living and smoking on disease. The increase and decreased levels of all indicators are related to kidney damage and loss of homeostasis. Urea, creatinine and albumin indicators are more preferred in screening disease due to have these indicators high sensitivity and specificity than another indicators Highlights: Assessed electrolytes' role in renal failure diagnosis using biochemical indicators. Analyzed 120 hemodialysis patients vs. 80 healthy controls using Cobas e411. Urea, creatinine, albumin showed highest sensitivity/specificity; significant correlations found. Keywords: Renal failure, kidney diseases, renal diseases, electrolytes, biochemical indicators