The Association Between Male Infertility and Cardiometabolic Disturbances: A Population-Based Study
Further studies are needed to extend our knowledge about the association between male infertility and cardio-metabolic disorders. We aimed to assess the association between male infertility and cardiometabolic disturbances using a population-based design. In total, 1611 participants of the Tehran-Li...
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Veröffentlicht in: | International journal of endocrinology and metabolism 2021-04, Vol.19 (2), p.e107418-e107418 |
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Sprache: | eng |
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Zusammenfassung: | Further studies are needed to extend our knowledge about the association between male infertility and cardio-metabolic disorders.
We aimed to assess the association between male infertility and cardiometabolic disturbances using a population-based design.
In total, 1611 participants of the Tehran-Lipid and Glucose-Study (phase III) were categorized into two groups of men with documented male infertility (n = 88) and those with at least one live birth and no history of primary infertility (n = 1523). Logistic regression was applied to explore the association between male infertility and cardiometabolic disturbances, including diabetes mellitus, pre-diabetes, hypertension, metabolic syndrome, dyslipidemia, obesity, central obesity, and chronic kidney disease, following adjustment for age and body mass index (BMI).
The unadjusted model revealed a significant association between infertility and hypertension and CKD (OR = 1.8; 95% CI: 1.2, 2.9, P-value = 0.006 and OR = 1.9; 95% CI: 1.1, 3.6, P-value = 0.033), respectively. However, after adjusting for age and BMI, as potential confounders, this association was not significant. Moreover, there was no association between infertility and other cardiometabolic disturbances, including diabetes and pre-diabetes, metabolic syndrome, dyslipidemia, obesity, and central obesity in both unadjusted and adjusted models.
Our study revealed no association between male infertility and cardiometabolic disturbances. The findings can pave the way for further studies to extend our knowledge in this field. More population-based studies with a large sample size are warranted to confirm these findings. |
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ISSN: | 1726-913X 1726-9148 |
DOI: | 10.5812/ijem.107418 |