Clin Exp Reprod Med.  2014 Jun;41(2):75-79. 10.5653/cerm.2014.41.2.75.

Body composition: A predictive factor of cycle fecundity

• Kayatas S
• Boza A
• Api M
• Kurt D
• Eroglu M
• Arinkan SA

• KMID: 2049068
• DOI: http://doi.org/10.5653/cerm.2014.41.2.75

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+/-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.

Keyword

Bioelectrical impedance; Fat mass; Fecundity; Infertility; Unexplained

MeSH Terms

Adipose Tissue
Body Composition*
Body Mass Index
Electric Impedance
Female
Fertility*
Humans
Infertility
Insemination
Observational Study
Pregnancy
Pregnant Women
Prospective Studies
Reproduction
ROC Curve
Sensitivity and Specificity