Body composition: A predictive factor of cycle fecundity / 대한생식의학회지
Clinical and Experimental Reproductive Medicine
;
: 75-79, 2014.
Article
in English
| WPRIM
| ID: wpr-119475
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Reproduction
/
Body Composition
/
Body Mass Index
/
Adipose Tissue
/
Prospective Studies
/
ROC Curve
/
Sensitivity and Specificity
/
Electric Impedance
/
Pregnant Women
/
Fertility
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Female
/
Humans
/
Pregnancy
Language:
English
Journal:
Clinical and Experimental Reproductive Medicine
Year:
2014
Type:
Article
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