Relationship between obesity and sperm parameters in men with idiopathic infertility

Document Type : Original Article


1 PhD student of Reproductive Health, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran. Instructor, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran

2 Associate professor, Department of Midwifery and Reproductive Health, Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

3 Associate professor, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

4 Professor, Department of Community Health Research, Health Research Center, Health Research Institute, Jihad University, Tehran, Iran.

5 Professor, Department of Obstetrics and Gynecology, Family Health Research Center, Vali-e Asr Reproductive Health Research Center, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

6 Instructor, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

7 M.Sc. of Midwifery, Novin Kian Fertility and Infertility Center, Tehran, Iran.


Introduction: Since infertility affects quality of life and even couples' relationships, it is important to identify the variables affecting fertility. One of these cases is obesity in men and its relationship with infertility. Regarding the contradictory results of various studies, this study was conducted with aim to determine the relationship between body mass index and quality of sperm parameters.
Methods: This cross-sectional study was performed on 200 women's husbands with inclusion criteria who referred to Infertility Clinic of Vali-e-Asr Tehran in 2015-2016. Individual data, height, weight and sperm results of the subjects were entered to the researcher-made questionnaire. Data were analyzed using SPSS (version 18) and Chi-square test. P<0.05 was considered statistically significant.
Results: More than 38.5% (n=77) of participant were in the normal BMI group. 47% (n=94) were overweight and 14.5% (n=29) were in the obese group. Based on the results, there was no significant relationship between sperm counts, sperm motility and sperm shape and BMI in the three groups of men based on BMI (p> 0.05).
Conclusion: There is no significant relationship between BMI in three groups of men (based on BMI), with sperm analyses factors including sperm counts, sperm motility and sperm shape.


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