1.Body composition: A predictive factor of cycle fecundity.
Semra KAYATAS ; Aysen BOZA ; Murat API ; Didar KURT ; Mustafa EROGLU ; Sevcan Arzu ARINKAN
Clinical and Experimental Reproductive Medicine 2014;41(2):75-79
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+/-3.65 vs.18.78+/-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> or =0.277, t-value> or =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.
Adipose Tissue
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Body Composition*
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Body Mass Index
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Electric Impedance
;
Female
;
Fertility*
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Humans
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Infertility
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Insemination
;
Observational Study
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Pregnancy
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Pregnant Women
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Prospective Studies
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Reproduction
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ROC Curve
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Sensitivity and Specificity