Clinical and Experimental Reproductive Medicine

The Korean Society for Reproductive Medicine (대한생식의학회)
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Body composition: A predictive factor of cycle fecundity

  • Kayatas, Semra (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital) ;
  • Boza, Aysen (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital) ;
  • Api, Murat (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital) ;
  • Kurt, Didar (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital) ;
  • Eroglu, Mustafa (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital) ;
  • Arinkan, Sevcan Arzu (Department of Obstetrics and Gynecology, Zeynep Kamil Women and Children Diseases Training and Research Hospital)
  • Received : 2014.03.19
  • Accepted : 2014.05.26
  • Published : 2014.06.30
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Abstract

Objective: To study the effect of body composition on reproduction in women with unexplained infertility treated with a controlled ovarian hyperstimulation and intrauterine insemination programme. Methods: This prospective observational study was conducted on 308 unexplained infertile women who were scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme and were grouped as pregnant and non-pregnant. Anthropometric measurements were performed using TANITA-420MA before the treatment cycle. Body composition was determined using a bioelectrical impedance analysis system. Results: Body fat mass was significantly lower in pregnant women than in non-pregnant women ($15.61{\pm}3.65$ vs. $18.78{\pm}5.97$, respectively) (p=0.01). In a multiple regression analysis, body fat mass proved to have a stronger association with fecundity than the percentage of body fat, body mass index, or the waist/hip ratio (standardized regression coefficient${\geq}0.277$, t-value ${\geq}2.537$; p<0.05). The cut-off value of fat mass, which was evaluated using the receiver operating characteristics curve, was 16.65 with a sensitivity of 61.8% and a specificity of 70.2%. Below this cut-off value, the odds of the pregnancy occurrence was found to be 2.5 times more likely. Conclusion: Body fat mass can be predictive for pregnancy in patients with unexplained infertility scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme.

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References

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