27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Risk of diabetes according to male factor infertility: a register-based cohort study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          STUDY QUESTION

          Is male factor infertility associated with an increased risk of developing diabetes?

          SUMMARY ANSWER

          The study provides evidence that male factor infertility may predict later occurrence of diabetes mellitus with the risk being related to the severity of the underlying fertility problem.

          WHAT IS KNOWN ALREADY

          Previous cross-sectional studies have shown an increased prevalence of comorbidities among infertile men when compared to controls.

          STUDY DESIGN, SIZE, DURATION

          In this prospective cohort study, 39 516 men who had since 1994 undergone fertility treatment with their female partner were identified from the Danish national IVF register, which includes data on assumed cause of couple infertility (male/female factor, mixed and unexplained infertility) and type of fertility treatment. With a median follow-up time of 5.6 years, each man was followed for diabetes occurrence from enrollment until 31 December 2012 using the National Diabetes Register (NDR). Men with a history of diabetes prior to their fertility diagnosis were excluded. Hazard ratios (HR) were estimated by Cox proportional hazard models with age as the underlying time scale. In addition to analyzing the data for the entire IVF registration period (1994–2012), separate analyses were performed for men identified from the first (1994–2005) and second (2006–2012) IVF registration period owing to heterogeneity in the reporting of male factor infertility in these two time periods, because the reason for male factor infertility was not available from the first register.

          PARTICIPANTS/MATERIALS, SETTING, METHODS

          Male factor infertility was identified from the variable ‘yes’ or ‘no’ from the first IVF register and through a diagnosis code (e.g. oligospermia, azoospermia) from the second IVF register. The reference group was men with male factor infertility (=‘no’) and those with normal semen quality or sterilized men. Of the included men, 18 499 (46.8%) had male factor infertility and 21 017 (53.2%) made up the reference group.

          MAIN RESULTS AND THE ROLE OF CHANCE

          A total of 651 (1.6%) diabetes cases were identified during the follow-up period. The adjusted HR's for diabetes risk among men with male factor infertility when compared to the reference group were HR = 1.08 (95% CI: 0.89, 1.31) and HR = 1.45 (95% CI: 1.06, 1.97) for the first and second IVF registration period, respectively. When assessing the effects of individual causes of male factor infertility, the adjusted HR's for men with oligospermia, azoospermia and aspermia were HR = 1.44 (95% CI: 1.01, 2.06), HR = 2.10 (95% 1.25, 3.56) and HR = 3.20 (95% CI 1.00, 10.31), respectively.

          LIMITATIONS, REASONS FOR CAUTION

          We found no increased risk among men identified from the first IVF register, which may be related to exposure misclassification as the reason for male factor infertility was not available from this time period. The NDR does not distinguish between type 1 and type 2 diabetes.

          WIDER IMPLICATIONS OF THE FINDINGS

          These findings support previous studies that a man's reproductive and somatic health are closely intertwined and highlight the importance for further monitoring of these men. Further, implementation of diabetes screening may be especially relevant among aspermic and azoospermic men.

          STUDY FUNDING/COMPETING INTERESTS

          This article is part of the ReproUnion collaborative study, co-financed by the European Union, Intereg V Öresund-Kattegat-Skagerrak. None of the authors declare any conflict of interest.

          TRIAL REGISTRATION NUMBER

          None.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          The biology of infertility: research advances and clinical challenges.

          Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease.

            Socioeconomic status (SES) is usually measured by determining education, income, occupation, or a composite of these dimensions. Although education is the most commonly used measure of SES in epidemiological studies, no investigators in the United States have conducted an empirical analysis quantifying the relative impact of each separate dimension of SES on risk factors for disease. Using data on 2380 participants from the Stanford Five-City Project (85% White, non-Hispanic), we examined the independent contribution of education, income, and occupation to a set of cardiovascular disease risk factors (cigarette smoking, systolic and diastolic blood pressure, and total and high-density lipoprotein cholesterol). The relationship between these SES measures and risk factors was strongest and most consistent for education, showing higher risk associated with lower levels of education. Using a forward selection model that allowed for inclusion of all three SES measures after adjustment for age and time of survey, education was the only measure that was significantly associated with the risk factors (P less than .05). If economics or time dictate that a single parameter of SES be chosen and if the research hypothesis does not dictate otherwise, higher education may be the best SES predictor of good health.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Testosterone and sex hormone-binding globulin predict the metabolic syndrome and diabetes in middle-aged men.

              In men, hypoandrogenism is associated with features of the metabolic syndrome, but the role of sex hormones in the pathogenesis of the metabolic syndrome and diabetes is not well understood. We assessed the association of low levels of testosterone and sex hormone-binding globulin (SHBG) with the development of the metabolic syndrome and diabetes in men. Concentrations of SHBG and total and calculated free testosterone and factors related to insulin resistance were determined at baseline in 702 middle-aged Finnish men participating in a population-based cohort study. These men had neither diabetes nor the metabolic syndrome. After 11 years of follow-up, 147 men had developed the metabolic syndrome (National Cholesterol Education Program criteria) and 57 men diabetes. Men with total testosterone, calculated free testosterone, and SHBG levels in the lower fourth had a severalfold increased risk of developing the metabolic syndrome (odds ratio [OR] 2.3, 95% CI 1.5-3.4; 1.7, 1.2-2.5; and 2.8, 1.9-4.1, respectively) and diabetes (2.3, 1.3-4.1; 1.7, 0.9-3.0; and 4.3, 2.4-7.7, respectively) after adjustment for age. Adjustment for potential confounders such as cardiovascular disease, smoking, alcohol intake, and socioeconomic status did not alter the associations. Factors related to insulin resistance attenuated the associations, but they remained significant, except for free testosterone. Low total testosterone and SHBG levels independently predict development of the metabolic syndrome and diabetes in middle-aged men. Thus, hypoandrogenism is an early marker for disturbances in insulin and glucose metabolism that may progress to the metabolic syndrome or frank diabetes and may contribute to their pathogenesis.
                Bookmark

                Author and article information

                Journal
                Hum Reprod
                Hum. Reprod
                humrep
                Human Reproduction (Oxford, England)
                Oxford University Press
                0268-1161
                1460-2350
                July 2017
                09 May 2017
                09 May 2017
                : 32
                : 7
                : 1474-1481
                Affiliations
                [1 ] Department of Occupational and Environmental Medicine, Bispebjerg University Hospital , DK-2400 Copenhagen NV, Denmark
                [2 ] Molecular Reproductive Medicine, Department of Translational Medicine, Lund University , Sweden
                [3 ] Department of Public Health, Section of Social Medicine, University of Copenhagen , DK-1014 Copenhagen K, Denmark
                [4 ] Department of Obstetrics/Gynaecology, Hvidovre Hospital, Copenhagen University Hospital , DK-2650 Hvidovre, Denmark
                [5 ] Research Center for Prevention and Health (RCPH), University of Copenhagen , DK-2600 Glostrup, Denmark
                Author notes
                [* ]Correspondence address. Department of Occupational and Environmental Medicine, Capital Region of Denmark, Bispebjerg – Frederiksberg Hospital, Bispebjerg Bakke 23, Building 20C, 1.floor, DK-2400 Copenhagen NV, Denmark. Tel: +45-5160-2515; E-mail: clara.helene.glazer.01@ 123456regionh.dk
                Article
                dex097
                10.1093/humrep/dex097
                5850522
                28486688
                f0661784-0d56-4f9b-b51a-770af12b09f9
                © The Author 2017. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 23 January 2017
                : 11 April 2017
                : 24 April 2017
                Page count
                Pages: 8
                Funding
                Funded by: InterReg ReproUnion
                Award ID: NYPS 20200407
                Categories
                Original Article
                Reproductive Epidemiology

                Human biology
                male infertility,diabetes,oligospermia,azoospermia,register-based cohort study,comorbidity

                Comments

                Comment on this article