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Published in: Reproductive Health 1/2018

Open Access 01-12-2018 | Study protocol

The casual effect of lifestyle factors on outcomes of assisted reproductive techniques: a protocol study on Iranian infertile couples

Authors: Mahdi Sepidarkish, Reza Omani-Samani, Mohammad Ali Mansournia, Mir Saeed Yekaninejad, Azar Mardi-Mamaghani, Samira Vesali, Roya Hosseini, Saharnaz Nedjat

Published in: Reproductive Health | Issue 1/2018

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Abstract

Background

Attention to additional factors affecting the success of assisted reproduction techniques (ARTs) is very important and with appropriate interventions in some of these factors, success rate can be as high as improve a lot. There is a lot of evidence that lifestyle factors can influence on ARTs outcomes. Current knowledge of the effect of combined effect of several lifestyle factors on the outcomes of ARTs is low and contradictory. The importance of the causality of this phenomenon is felt by the pandemic of inappropriate lifestyle as well as the dramatic increase in infertility in the world. The aim of this cohort study is to scrutinize the casual effect of a specific range of contemporary lifestyle factors on ARTs outcomes.

Methods

A prospective cohort study will be conducted in Royan institute, Tehran, Iran. Each infertile couple will be monitored from the first visit to the end of treatment cycle. The data will be collected electronically and include the following: detailed interview about lifestyle and socioeconomic status, past medical history, general physical examination, assessment of menstrual and ovulatory status, assessment of tuboperitoneal, assessment of uterine, assessment of cervix, urogenital examination, semen analysis, anti-sperm antibodies, biochemical analysis, sperm-cervical mucus contact test, in vitro cervical mucus penetration test and sperm functional assays. To estimate the casual effect of lifestyle variables on clinical pregnancy and live birth, the obtained propensity score (PS) from generalized boosted models (GBM) will be matched between couple with and without live birth.

Discussion

This is the first study to prospectively obtain detailed information on causes of ARTs success. Determining the casual effect of lifestyle variables on ARTs success will be important to inform strategies most likely to increase the success rates in ARTs.
Literature
1.
go back to reference Zegers-Hochschild F, Adamson GD, de Mouzon J, Ishihara O, Mansour R, Nygren K, et al. The international committee for monitoring assisted reproductive technology (ICMART) and the world health organization (WHO) revised glossary on ART terminology, 2009. Hum Reprod. 2009;24:2683–7.CrossRef Zegers-Hochschild F, Adamson GD, de Mouzon J, Ishihara O, Mansour R, Nygren K, et al. The international committee for monitoring assisted reproductive technology (ICMART) and the world health organization (WHO) revised glossary on ART terminology, 2009. Hum Reprod. 2009;24:2683–7.CrossRef
2.
go back to reference Dyer S, Chambers GM, de Mouzon J, Nygren K, Zegers-Hochschild F, Mansour R, Ishihara O, Banker M, Adamson G. International Committee for Monitoring Assisted Reproductive Technologies world report: assisted reproductive technology 2008, 2009 and 2010. Hum Reprod. 2016;31:1588–609.CrossRef Dyer S, Chambers GM, de Mouzon J, Nygren K, Zegers-Hochschild F, Mansour R, Ishihara O, Banker M, Adamson G. International Committee for Monitoring Assisted Reproductive Technologies world report: assisted reproductive technology 2008, 2009 and 2010. Hum Reprod. 2016;31:1588–609.CrossRef
3.
go back to reference Mascarenhas MN, Flaxman SR, Boerma T, Vanderpoel S, Stevens GA. National, regional, and global trends in infertility prevalence since 1990: a systematic analysis of 277 health surveys. PLoS Med. 2012;9:e1001356.CrossRef Mascarenhas MN, Flaxman SR, Boerma T, Vanderpoel S, Stevens GA. National, regional, and global trends in infertility prevalence since 1990: a systematic analysis of 277 health surveys. PLoS Med. 2012;9:e1001356.CrossRef
4.
go back to reference Sunderam S, Kissin DM, Crawford SB, Folger SG, Boulet SL, Warner L, et al. Assisted reproductive technology surveillance—United States, 2015. MMWR Surveill Summ. 2018;67:1.CrossRef Sunderam S, Kissin DM, Crawford SB, Folger SG, Boulet SL, Warner L, et al. Assisted reproductive technology surveillance—United States, 2015. MMWR Surveill Summ. 2018;67:1.CrossRef
5.
go back to reference European IVF-monitoring programme T. Assisted reproductive technology in Europe, 1997. Results generated from European registers by ESHRE. Hum Reprod. 2001;16:384–91.CrossRef European IVF-monitoring programme T. Assisted reproductive technology in Europe, 1997. Results generated from European registers by ESHRE. Hum Reprod. 2001;16:384–91.CrossRef
6.
go back to reference The European IVFmC, for the European Society of Human R, Embryology, Calhaz-Jorge C, De Geyter C, Kupka MS, de Mouzon J, Erb K, Mocanu E, Motrenko T, et al. Assisted reproductive technology in Europe, 2013: results generated from European registers by ESHRE†. Hum Reprod. 2017;32:1957–73. The European IVFmC, for the European Society of Human R, Embryology, Calhaz-Jorge C, De Geyter C, Kupka MS, de Mouzon J, Erb K, Mocanu E, Motrenko T, et al. Assisted reproductive technology in Europe, 2013: results generated from European registers by ESHRE†. Hum Reprod. 2017;32:1957–73.
7.
go back to reference Toner JP, Coddington CC, Doody K, Van Voorhis B, Seifer DB, Ball GD, et al. Society for Assisted Reproductive Technology and assisted reproductive technology in the United States: a 2016 update. Fertil Steril. 2016;106:541–6.CrossRef Toner JP, Coddington CC, Doody K, Van Voorhis B, Seifer DB, Ball GD, et al. Society for Assisted Reproductive Technology and assisted reproductive technology in the United States: a 2016 update. Fertil Steril. 2016;106:541–6.CrossRef
8.
go back to reference Bungum M, Humaidan P, Axmon A, Spano M, Bungum L, Erenpreiss J, et al. Sperm DNA integrity assessment in prediction of assisted reproduction technology outcome. Hum Reprod. 2006;22:174–9.CrossRef Bungum M, Humaidan P, Axmon A, Spano M, Bungum L, Erenpreiss J, et al. Sperm DNA integrity assessment in prediction of assisted reproduction technology outcome. Hum Reprod. 2006;22:174–9.CrossRef
9.
go back to reference Luke B, Brown MB, Stern JE, Missmer SA, Fujimoto VY, Leach R, et al. Female obesity adversely affects assisted reproductive technology (ART) pregnancy and live birth rates. Hum Reprod. 2010;26:245–52.CrossRef Luke B, Brown MB, Stern JE, Missmer SA, Fujimoto VY, Leach R, et al. Female obesity adversely affects assisted reproductive technology (ART) pregnancy and live birth rates. Hum Reprod. 2010;26:245–52.CrossRef
10.
go back to reference Technology PCSAR, Medicine PCASR. Guidelines on number of embryos transferred. Fertil Steril. 2006;86:S51–2. Technology PCSAR, Medicine PCASR. Guidelines on number of embryos transferred. Fertil Steril. 2006;86:S51–2.
11.
go back to reference Van Loendersloot L, Van Wely M, Limpens J, Bossuyt P, Repping S, Van Der Veen F. Predictive factors in in vitro fertilization (IVF): a systematic review and meta-analysis. Hum Reprod Update. 2010;16:577–89.CrossRef Van Loendersloot L, Van Wely M, Limpens J, Bossuyt P, Repping S, Van Der Veen F. Predictive factors in in vitro fertilization (IVF): a systematic review and meta-analysis. Hum Reprod Update. 2010;16:577–89.CrossRef
12.
go back to reference Homan G, Davies M, Norman R. The impact of lifestyle factors on reproductive performance in the general population and those undergoing infertility treatment: a review. Hum Reprod Update. 2007;13:209–23.CrossRef Homan G, Davies M, Norman R. The impact of lifestyle factors on reproductive performance in the general population and those undergoing infertility treatment: a review. Hum Reprod Update. 2007;13:209–23.CrossRef
13.
go back to reference Anderson K, Nisenblat V, Norman R. Lifestyle factors in people seeking infertility treatment–a review. Aust N Z J Obstet Gynaecol. 2010;50:8–20.CrossRef Anderson K, Nisenblat V, Norman R. Lifestyle factors in people seeking infertility treatment–a review. Aust N Z J Obstet Gynaecol. 2010;50:8–20.CrossRef
14.
go back to reference Leridon H. Can assisted reproduction technology compensate for the natural decline in fertility with age? a model assessment. Hum Reprod. 2004;19:1548–53.CrossRef Leridon H. Can assisted reproduction technology compensate for the natural decline in fertility with age? a model assessment. Hum Reprod. 2004;19:1548–53.CrossRef
15.
go back to reference Waylen A, Metwally M, Jones G, Wilkinson A, Ledger W. Effects of cigarette smoking upon clinical outcomes of assisted reproduction: a meta-analysis. Hum Reprod Update. 2008;15:31–44.CrossRef Waylen A, Metwally M, Jones G, Wilkinson A, Ledger W. Effects of cigarette smoking upon clinical outcomes of assisted reproduction: a meta-analysis. Hum Reprod Update. 2008;15:31–44.CrossRef
16.
go back to reference Khairy M, Rajkhowa M. Effect of obesity on assisted reproductive treatment outcomes and its management: a literature review. Obstet Gynaecol. 2017;19:47–54. Khairy M, Rajkhowa M. Effect of obesity on assisted reproductive treatment outcomes and its management: a literature review. Obstet Gynaecol. 2017;19:47–54.
17.
go back to reference Xia W, Chiu YH, Afeiche MC, Williams PL, Ford JB, Tanrikut C, Team Es, et al. Impact of men's dairy intake on assisted reproductive technology outcomes among couples attending a fertility clinic. Andrology. 2016;4:277–83.CrossRef Xia W, Chiu YH, Afeiche MC, Williams PL, Ford JB, Tanrikut C, Team Es, et al. Impact of men's dairy intake on assisted reproductive technology outcomes among couples attending a fertility clinic. Andrology. 2016;4:277–83.CrossRef
18.
go back to reference Ferreira RC, Halpern G, de Cássia Savio Figueira R, de Almeida Ferreira Braga DP, Iaconelli A Jr, Borges E Jr. Physical activity, obesity and eating habits can influence assisted reproduction outcomes. Women’s Health. 2010;6:517–24.PubMed Ferreira RC, Halpern G, de Cássia Savio Figueira R, de Almeida Ferreira Braga DP, Iaconelli A Jr, Borges E Jr. Physical activity, obesity and eating habits can influence assisted reproduction outcomes. Women’s Health. 2010;6:517–24.PubMed
19.
go back to reference Boivin J, Griffiths E, Venetis CA. Emotional distress in infertile women and failure of assisted reproductive technologies: meta-analysis of prospective psychosocial studies. BMJ. 2011;342:d223.CrossRef Boivin J, Griffiths E, Venetis CA. Emotional distress in infertile women and failure of assisted reproductive technologies: meta-analysis of prospective psychosocial studies. BMJ. 2011;342:d223.CrossRef
20.
go back to reference Abadia L, Chiu Y-H, Williams P, Toth T, Souter I, Hauser R, et al. The association between pre-treatment maternal alcohol and caffeine intake and outcomes of assisted reproduction in a prospectively followed cohort. Hum Reprod. 2017;32:1846–54.CrossRef Abadia L, Chiu Y-H, Williams P, Toth T, Souter I, Hauser R, et al. The association between pre-treatment maternal alcohol and caffeine intake and outcomes of assisted reproduction in a prospectively followed cohort. Hum Reprod. 2017;32:1846–54.CrossRef
21.
go back to reference Legro RS, Sauer MV, Mottla GL, Richter KS, Li X, Dodson WC, et al. Effect of air quality on assisted human reproduction. Hum Reprod. 2010;25:1317–24.CrossRef Legro RS, Sauer MV, Mottla GL, Richter KS, Li X, Dodson WC, et al. Effect of air quality on assisted human reproduction. Hum Reprod. 2010;25:1317–24.CrossRef
22.
go back to reference Campbell JM, Lane M, Owens JA, Bakos HW. Paternal obesity negatively affects male fertility and assisted reproduction outcomes: a systematic review and meta-analysis. Reprod BioMed Online. 2015;31:593–604.CrossRef Campbell JM, Lane M, Owens JA, Bakos HW. Paternal obesity negatively affects male fertility and assisted reproduction outcomes: a systematic review and meta-analysis. Reprod BioMed Online. 2015;31:593–604.CrossRef
23.
go back to reference Brandolini A, Magri S, Smeeding TM. Asset-based measurement of poverty. J Policy Anal Manage. 2010;29:267–84.CrossRef Brandolini A, Magri S, Smeeding TM. Asset-based measurement of poverty. J Policy Anal Manage. 2010;29:267–84.CrossRef
24.
go back to reference Craig CL, Marshall AL, Sjorstrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.CrossRef Craig CL, Marshall AL, Sjorstrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.CrossRef
25.
go back to reference Lee PH, Macfarlane DJ, Lam T, Stewart SM. Validity of the international physical activity questionnaire short form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011;8:115.CrossRef Lee PH, Macfarlane DJ, Lam T, Stewart SM. Validity of the international physical activity questionnaire short form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011;8:115.CrossRef
26.
go back to reference Jette M, Sidney K, Blümchen G. Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity. Clin Cardiol. 1990;13:555–65.CrossRef Jette M, Sidney K, Blümchen G. Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity. Clin Cardiol. 1990;13:555–65.CrossRef
27.
go back to reference Cooper TG, Noonan E, Von Eckardstein S, Auger J, Baker H, Behre HM, et al. World Health Organization reference values for human semen characteristics. Hum Reprod Update. 2010;16:231–45.CrossRef Cooper TG, Noonan E, Von Eckardstein S, Auger J, Baker H, Behre HM, et al. World Health Organization reference values for human semen characteristics. Hum Reprod Update. 2010;16:231–45.CrossRef
28.
go back to reference Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol. 2006;163:1149–56.CrossRef Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol. 2006;163:1149–56.CrossRef
29.
go back to reference Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46:399–424.CrossRef Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46:399–424.CrossRef
30.
go back to reference Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55.CrossRef Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55.CrossRef
31.
go back to reference McCaffrey DF, Ridgeway G, Morral AR. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods. 2004;9:403.CrossRef McCaffrey DF, Ridgeway G, Morral AR. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods. 2004;9:403.CrossRef
32.
go back to reference Harder VS, Stuart EA, Anthony JC. Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. Psychol Methods. 2010;15:234.CrossRef Harder VS, Stuart EA, Anthony JC. Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. Psychol Methods. 2010;15:234.CrossRef
33.
go back to reference McCaffrey DF, Griffin BA, Almirall D, Slaughter ME, Ramchand R, Burgette LF. A tutorial on propensity score estimation for multiple treatments using generalized boosted models. Stat Med. 2013;32:3388–414.CrossRef McCaffrey DF, Griffin BA, Almirall D, Slaughter ME, Ramchand R, Burgette LF. A tutorial on propensity score estimation for multiple treatments using generalized boosted models. Stat Med. 2013;32:3388–414.CrossRef
Metadata
Title
The casual effect of lifestyle factors on outcomes of assisted reproductive techniques: a protocol study on Iranian infertile couples
Authors
Mahdi Sepidarkish
Reza Omani-Samani
Mohammad Ali Mansournia
Mir Saeed Yekaninejad
Azar Mardi-Mamaghani
Samira Vesali
Roya Hosseini
Saharnaz Nedjat
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Reproductive Health / Issue 1/2018
Electronic ISSN: 1742-4755
DOI
https://doi.org/10.1186/s12978-018-0655-8

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