Study on anthropometric profile of male partners of infertile couples
Abstract
Background: Prevalence of obesity and overweight has risen substantially in the past three decades with India ranking third in the number of obese people after USA and china. There was document that the decline in semen quality and male reproductive potential over the past half century may be the result of increasing incidence of obesity. Therefore, present study was made attempt to determine anthropometric profile of male partners of infertile couples.
Method: This cross-sectional study consisted of 140 male partners of infertile couples aged 18yrs-50yrs, who came to GSL-fertility center, Rajahmundry from 2015 to 2017. Consent was taken from each participant. Ethical reviews and assessments were processed and approved by GSL medical institutional ethical board committee. Data related to individual identification were removed, ensuring the annoying of each individual during the entire study process. With history of mumps, smoking, STDs, prior vasectomy and those taking exogenous hormones were excluded from the study.
Result: In the present study sperm concentration more in overweight group, increased concentration with waist circumference and waist-height ratio, inverse relation seen only with waist-hip ratio. Progressive sperm motility showed an inverse relation with BMI, WC, WHR &WHtR. Slow or non-progressive motility increased with BMI,WC,WHR, also with WHtR with a statistically significant relation. No significant association between anthropometric parameters and sperm morphology.
Conclusion: The present study shows no correlation between anthropometry and semen parameters. More studies are needed in this area to clarify the role of body weight and fat distribution on semen quality.
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References
2. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014; 384(9945): 766-781. doi: 10.1016/S0140-6736(14) 60460-8. Epub 2014 .
3. Cabler S, Agarwal A, Flint M, Du Plessis SS. Obesity: modern man.’s fertility nemesis. Asian J Androl. 2010;12(4):480-489. doi: 10.1038/aja.2010.38
4. Sermondade N, Faure C, Fezeu L, Shayeb AG, Bonde JP, Jensen TK, et al. BMI in relation to sperm count: an updated systematic review and collabo-rative meta-analysis. Hum Reprod Update. 2013; 19(3): 221-231. doi: 10.1093/humupd/dms050. Epub 2012
5. Hammiche F, Laven JS, Twigt JM, Boellaard WP, Steegers EA, Steegers-Theunissen RP. Body mass index and central adiposity are associated with sperm quality in men of subfertile couples. Hum Reprod. 2012;27 (8): 2365-2372. doi: 10.1093/humrep/des177. Epub 2012.
6. Dupont C, Faure C, Sermondade N, Boubaya M, Eustache F, Clément P, et al. Obesity leads to higher risk of sperm DNA damage in infertile patients. Asian J Androl. 2013;15(5):622-655. doi: 10.1038/aja.2013.65. Epub 2013.
7. World Health Organization. Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee.
8. Koenker R, Bassett G. Regression quantiles. Econometrika, 46, 33–50. Mathematical Reviews (MathSciNet): MR474644. doi. 1978;10:1913643.
9. Homan G, Litt J, Norman RJ. The FAST study: Fertility ASsessment and advice Targeting lifestyle choices and behaviours: a pilot study. Hum Reprod. 2012;27(8):2396-2404. doi: 10.1093/humrep/des176. Epub 2012.
10. Aggerholm AS, Thulstrup AM, Toft G, Ramlau-Hansen CH, Bonde JP. Is overweight a risk factor for reduced semen quality and altered serum sex hormone profile? Fertil Steril. 2008;90(3):619-626. Epub 2008 20. doi:10.1016/j.fertnstert.2007.07.1292
11. Jensen TK, Andersson AM, Jørgensen N, Andersen AG, Carlsen E, Petersen JH, et al. Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men. Fertil Steril. 2004;82(4):863-870. doi:10.1016/j.fertnstert.2004.03.056
12. Quinn GP, Vadaparampil ST, Gwede CK, Miree C, King LM, Clayton HB, et al. Discussion of fertility preservation with newly diagnosed patients: oncologists' views. J Cancer Surviv. 2007;1(2):146-155. doi: 10. 1007/s11764-007-0019-9.
13. Chavarro JE, Toth TL, Sadio SM, Hauser R. Soy food and isoflavone intake in relation to semen quality parameters among men from an infertility clinic. Hum Reprod. 2008;23(11):2584-2590. doi: 10.1093/ humrep/ den243. Epub 2008.
14. Fejes I, Koloszár S, Szöllosi J, Závaczki Z, Pál A. Is semen quality affected by male body fat distribution? Andrologia. 2005;37(5):155-159. DOI:10.1111/j.1439-0272.2005.00671.x
15. Magnusdottir EV, Thorsteinsson T, Thorsteinsdottir S, Heimisdottir M, Olafsdottir K. Persistent organo-chlorines, sedentary occupation, obesity and human male subfertility. Hum Reprod. 2005;20(1):208-215. doi: 10.1093/humrep/deh569
16. Prazzini F, Marchini M, Tozzi L, Mezzopane R, Fedele I. Risk factors for unexplained dyspermia in infertile men: a case-control study. Arch Androl. 1993; 31 (2):105-113.
17. Kort HI, Massey JB, Elsner CW, Mitchell-Leef D, Shapiro DB, Witt MA, et al. Impact of body mass index values on sperm quantity and quality. J Androl. 2006; 27(3): 450-2. Epub 2005. doi:10.2164/jandrol.05124
18. Hammoud AO, Wilde N, Gibson M, Parks A, Carrell DT, Meikle AW. Male obesity and alteration in sperm parameters. Fertil Steril. 2008;90(6):2222-2225. doi: 10.1016/j.fertnstert.2007.10.011. Epub 2008.
19.MacDonald AA, Herbison GP, Showell M, Farquhar CM.The impact of body mass index on semen parameters and reproductive hormones in human males: a systematic review with meta-analysis. Hum Reprod Update. 2010;16(3):293-311. doi: 10.1093/ humupd/ dmp 047. Epub 2009.
20. Sermondade N, Faure C, Fezeu L, Shayeb AG, Bonde JP, Jensen TK, et al. BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis. Human Reproduct Update. 2012;19(3): 221-231. doi: 10.1093/humupd/dms050
21. Eisenberg ML, Kim S, Chen Z, Sundaram R, Schisterman EF, Buck Louis GM. The relationship between male BMI and waist circumference on semen quality: data from the LIFE study. Hum Reprod. 2014; 29(2):193-200. doi: 10.1093/humrep/det428. Epub 2013
22. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0•5 could be a suitable global boundary value. Nutr Res Rev. 2010 Dec; 23(2):247-69. doi: 10.1017/S09544224 10000144. Epub 2010 Sep 7.
23. Savva SC, Lamnisos D, Kafatos AG. Predicting cardiometabolic risk: waist-to-height ratio or BMI. A meta-analysis. Diabetes, metabolic syndrome and obesity: targets and therapy. 2013;6:403. doi: 10.2147/ DMSO. S34220
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