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

и другие.

Frontiers in Nutrition, Год журнала: 2025, Номер 12

Опубликована: Апрель 28, 2025

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. 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. 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. These findings suggest females, associated

Язык: 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

и другие.

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

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

и другие.

Frontiers in Nutrition, Год журнала: 2025, Номер 12

Опубликована: Апрель 23, 2025

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. 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). 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. A is Future studies should employ longitudinal designs validate these findings.

Язык: Английский

Процитировано

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

и другие.

Frontiers in Nutrition, Год журнала: 2025, Номер 12

Опубликована: Апрель 28, 2025

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. 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. 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. These findings suggest females, associated

Язык: Английский

Процитировано

0