Can your diet influence fertility? Darmpanized dietary evaluation shows a surprising risk pattern

Too much of a good thing? A new study shows that a healthier, good -friendly diet goes a lower risk of infertility beyond a certain nutritional threshold and can reverse the benefits and underlines the need for a balance in nutritional planning.

Study: Connection between the nutritional index for intestinal microbiota and female infertility: a cross -sectional study by Nhanes 2013–2018. Photo credits: New Africa / Shutterstock

In a study recently studied in the magazine Limits in nutritionthe researchers examined the connection between the novel DIetary Index for Gutter MICROBIOTA (DI-GM) and female infertility. The study aims to inform future nutritional interventions about the disease. Approaches based on the questionnaire were used to evaluate 3,053 adult women (age = 18–45), of which 12.12% arise as sterile.

The study results showed a complex non-linear connection between DI-GM values ​​and infertility. While lower values ​​generally correlated with a higher risk of infertility, the analysis resulted in a turning point: above a certain DI-GM score (in particular a score of 8), the risk of paradoxical infertility paradoxical. These results suggest that future intestinal microbiota research and nutritional interventions can contribute to tackling the silent pandemic of infertility, which emphasizes the need for a balanced approach instead of simply maximizing the DI-GM.

background

Infertility, the medical illness, which is characterized by a person's inability to achieve a clinical pregnancy, even after 12 months more unprotected sex, is a growing global problem of public health. Current estimates report that 12.5% ​​of all couples of childbearing age suffer from the disease, with genetic, lifestyle and environmental factors that are involved in its incidence. Alarmingly, several health authorities classify infertility than the third most important threat to public health according to cardiovascular diseases (CVDs) and types of cancer.

“Frequent etiologies are ovulatory dysfunctions, endometriosis, polycystic ovary ryndrome (PCOS), fallopian tube pipe anomalies and immunological disorders.”

Recent studies on the infertility of women have emphasized nutrition as a potentially changeable healthy behavior with modulatory effects. Parallel studies on the intestinal microbioma indicate a connection between the health of intestine and female reproduction diseases. The strong influence of nutritional patterns on the composition and performance of intestinal microbiota indicates on nutritional interventions as a non-pharmaceutical weapon in the clinic's arsenals against infertility.

While studies have examined the connection between general nutrition/intestinal microbiota and female reproductive health, the specific relationship between the DI-GM index and female infertility before this study remained unexplored.

About the study

The present cross-sectional study examines the connection between DI-GM, a newly introduced intestinal microbiota index by Kase et al., And female infertility. The studies were preserved from the National Health and Nutrition Examination Survey (Nhanes) (2013–2018) database and focuses on non -pregnant American women (age = 18–45).

Kase et al. Was used to calculate the GI-GM values ​​using all 14 food and nutritional components of the index. The participant data was obtained via 24-hour questionnaires with diet calls with DI-GM values ​​from 0 to 13.

“The DI-GM comprises 10 advantageous components (avocado, broccoli, chickpeas, coffee, cranberries, fermented dairy products, fiber, green tea, soy and whole grain products) and four unfavorable components (red meat, processed meat, refined grains and high fat diets).

The female infertility was evaluated from the questionnaire on reproductive health (RHQ074 and RHQ076) using questions (n ​​= 2). Additional participant data included demographic details of the lifestyle, health and reproductive health as well as records for infections and inflammatory diseases. Statistical analyzes used weighted linear regression models, Chi-square tests and weighted multivariate logistical regression models.

Study results

Of the 29,400 Nhanes participants, 14,452 were excluded as male, 10,625 were excluded than outside of the inclusion age, and 614 were excluded for incomplete information, with a final study rate of 3,053 authorized persons left behind. Of these, 370 (12.12%) were mentioned as sterile, with sterile participants on average older, with a higher body mass index (BMI), married, current smokers and more often suffer from pelvic diseases or metabolic conditions.

Restricted Cubic spline diagrams for the connection between DI-GM and infertility in women. Adapted to age, ethnicity, level of education, PIR, marital status, smoking, drinking, drinking, dyslipidemia, diabetes, high blood pressure, menstrual status, PID, use of antibabop pills and use of women's hormone.

DI-GM examinations showed that sterile participants on average show significantly lower DI-GM values ​​than their fertile colleagues. Logistical regression analyzes initially affected a negative connection between DI-GM values ​​and infertility results if they were treated as continuous variable or in quarters. However, the RCS analysis further showed that this association is not linear. It is crucial that a threshold effect analysis at a DI-GM score of 8. Below this threshold, higher DI-GM values ​​were associated with a reduced risk of infertility below this threshold. Conversely, evaluations over 8 higher DI-GM values ​​were unexpectedly associated with an increased risk of infertility.

“Participants with lower DI-GM values ​​also showed higher triglyceride levels and sober plasma glucose (FPG) and lower lipoprotein cholesterol cholesterol (HDL-C) with high density (p <0.05). In addition, the prevalence of infertility in the participants significantly took from Q1 and Q4 (p = 0.041).

The subgroup analysis did not change these results, with observed relationships that were robust in a spectrum of subgroups.

Conclusions

The present study shows a complex, non-linear relationship between intestinal microbiota indices (herein DI-GM) and female infertility. While higher DI-GM values ​​appear to be protecting up to a certain point, very high values ​​(over 8) were associated with an increased risk. This underlines the potential for nutritional interventions and future intestinal microbiota interventions against increasing global concerns and emphasizes that the achievement of a balanced nutritional pattern, which is reflected from an optimal DI-GM area, can be decisive instead of simply maximizing the score.

“As a new index for nutritional quality, which reflects the diversity of intestines, further research and interventions with DI-GM could help develop strategies in order to prevent and reduce the risk of female infertility.”