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Association between a body shape index and female infertility: a cross-sectional study
Qian Yang1, Jianxiong Wuliu1, Lingling Zeng1
1Department of Gynecology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, PR China.
BMC Women'S Health
|September 3, 2024
Summary
Higher A Body Shape Index (ABSI) is linked to increased female infertility risk. This simple, non-invasive measure can aid early identification in screenings.
Area of Science:
- Reproductive Health
- Anthropometry
- Public Health
Background:
- The association between A Body Shape Index (ABSI) and female infertility remains unclear.
- ABSI is a newer metric for assessing visceral fat, potentially more accurate than Body Mass Index (BMI).
- Understanding this relationship can inform medical screening and risk assessment strategies for infertility.
Purpose of the Study:
- To investigate the association between ABSI and female infertility.
- To explore potential nonlinear relationships using restricted cubic splines (RCS).
- To assess the consistency of findings across different demographic and health subgroups.
Main Methods:
- Cross-sectional analysis of NHANES data (2013-2020) involving 3,718 participants.
- Female infertility assessed via reproductive health questionnaires; ABSI calculated from waist circumference, BMI, and height.
- Weighted logistic regression, trend tests, RCS, subgroup, and sensitivity analyses were employed.
Main Results:
- A higher ABSI was significantly associated with an increased risk of female infertility (OR=1.56).
- The highest ABSI quartile showed a higher infertility prevalence (OR=1.73) compared to the lowest.
- A linear positive relationship was observed between ABSI and infertility risk, with a critical value at 0.079.
Conclusions:
- A positive linear association exists between ABSI and the risk of female infertility.
- ABSI offers a simple, non-invasive tool for early identification of women at high risk for infertility.
- This metric can potentially aid in the prevention and reduction of infertility incidence through large-scale screenings.
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