Association between the dietary index for gut microbiota and female infertility: a cross-sectional study of NHANES 2013–2018 DOI Creative Commons

Xiaoyan Zhang,

Liangzhi Wu, Haiyan Li

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 28, 2025

Background Infertility poses a substantial societal and economic burden; however, current preventive strategies are limited. Recently, the relationship between gut microbiota infertility has garnered increasing attention. The dietary index for (DI-GM) is new that reflects diversity of microbiota. However, its association with female remains unclear. Methods This cross-sectional study included 3,053 women aged 18–45 years from National Health Nutrition Examination Survey (NHANES) database 2013 2018. was defined based on responses to questionnaire reproductive health. DI-GM score calculated by averaging intake two 24-h recall interviews. Weighted multivariable logistic regression, restricted cubic splines (RCS), subgroup analyses were used investigate infertility. Results Based self-reported data, 370 participants (12.12%) classified as infertile. A higher proportion lower scores experienced Multivariable regression analysis indicated negative risk infertility, regardless whether independent variable analyzed continuous or in quartiles fully adjusted model (Model 3, variable: OR = 0.89, 95% confidence interval (CI): 0.80–0.98, p 0.025; Q4 vs. Q1: 0.63, CI 0.42–0.94, 0.032, trend 0.013). RCS curves demonstrated non-linear risk. Subsequent corroborated robustness these findings. Conclusion These findings suggest females, associated

Language: Английский

Correction to: A disturbed communication between hypothalamic-pituitary-ovary axis and gut microbiota in female infertility: is diet to blame? DOI Creative Commons
Fatima Ahmad, Salma Ahmed, Fadi Choucair

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: Feb. 17, 2025

Language: Английский

Citations

0
Association between dietary index for gut microbiota and female infertility: a cross-sectional NHANES 2013–2020 DOI Creative Commons
Yu Fu,

Mengling Peng,

He Cai

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 23, 2025

Background The relationship between the gut microbiota and infertility has garnered increasing attention. However, associations dietary index for (DI-GM), an indicator of microbial diversity, remain insufficiently explored. Methods We analyzed data from 3,058 participants in NHANES 2013–2020 cycles, employing weighted generalized linear models smooth curve analyses to examine their associations. Mediation analysis was conducted assess role body mass (BMI). Results After adjusting confounding factors, a higher DI-GM score significantly associated with lower prevalence (OR = 0.89, 95% CI 0.81–0.98, p 0.029). Compared individuals 0–3, those ≥6 presented 0.64, 0.43–0.96, 0.039). BMI mediated 5.98% association infertility. Conclusion A is Future studies should employ longitudinal designs validate these findings.

Language: Английский

Citations

0
Association between the dietary index for gut microbiota and female infertility: a cross-sectional study of NHANES 2013–2018 DOI Creative Commons

Xiaoyan Zhang,

Liangzhi Wu, Haiyan Li

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: April 28, 2025

Background Infertility poses a substantial societal and economic burden; however, current preventive strategies are limited. Recently, the relationship between gut microbiota infertility has garnered increasing attention. The dietary index for (DI-GM) is new that reflects diversity of microbiota. However, its association with female remains unclear. Methods This cross-sectional study included 3,053 women aged 18–45 years from National Health Nutrition Examination Survey (NHANES) database 2013 2018. was defined based on responses to questionnaire reproductive health. DI-GM score calculated by averaging intake two 24-h recall interviews. Weighted multivariable logistic regression, restricted cubic splines (RCS), subgroup analyses were used investigate infertility. Results Based self-reported data, 370 participants (12.12%) classified as infertile. A higher proportion lower scores experienced Multivariable regression analysis indicated negative risk infertility, regardless whether independent variable analyzed continuous or in quartiles fully adjusted model (Model 3, variable: OR = 0.89, 95% confidence interval (CI): 0.80–0.98, p 0.025; Q4 vs. Q1: 0.63, CI 0.42–0.94, 0.032, trend 0.013). RCS curves demonstrated non-linear risk. Subsequent corroborated robustness these findings. Conclusion These findings suggest females, associated

Language: Английский

Citations

0