Background Evidence regarding maternal body mass index (BMI) and intrauterine insemination (IUI) outcomes remains controversial. This study aimed to evaluate such independent associations, focusing on potential non-linear patterns, clinical thresholds, and population-specific heterogeneities. Methods Data from 1951 couples (3788 cycles) were retrospectively analyzed. Multivariable generalized linear models (GLM), generalized estimating equations (GEE), and Cox proportional hazards models assessed first-cycle, per-cycle, and cumulative success, respectively; generalized additive model (GAM) and two-piecewise linear regression characterized non-linear patterns and thresholds. Results While maternal BMI showed no significant independent association with clinical pregnancy or live birth in the first cycle (all P 0.05), per-cycle analysis of 3788 cycles revealed a modest positive correlation (pregnancy: aOR 1.04, P = 0.004; live birth: aOR 1.03, P = 0.030). Notably, cumulative success followed a non-linear pattern ( P LRT = 0.027), with live birth probability increasing until a BMI of approximately 21.2 kg/m² (aHR: 1.12, P = 0.007) but plateauing thereafter, potentially linked in part to an exploratory observation of higher spontaneous abortion rates in the obesity group (29.03%, P = 0.087). Subgroup analyses suggested potential heterogeneities in these associations across basal FSH levels and treatment protocols used in the first cycle ( P interaction = 0.030 and 0.009, respectively). Specifically, for the FSH 8mIU/mL group, a non-linear association was suggested ( P LRT = 0.020), with success increasing up to approximately 21.2 kg/m² (aHR: 1.12, P = 0.011) and plateauing thereafter. Similarly, for patients whose first cycle used a gonadotropin protocol, a potential reversal was observed beyond approximately 21.0 kg/m² ( P LRT = 0.020), where the trend shifted to a significant decline (aHR: 0.81, P = 0.023). Conclusions Maternal BMI appears to exhibit a non-linear, context-dependent association with cumulative IUI success, underscoring the potential need for individualized preconception management.
Huan-qun et al. (Wed,) studied this question.