ArticleReproductive biology and endocrinology : RB&E2024
Association between tea, coffee and caffeine consumption and risk of female infertility: a cross-sectional study.
Article in Reproductive biology and endocrinology : RB&E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Prevalence of Infertility, Associated Factors, and Treatment Seeking Among Reproductive Age Couples in Merhabete Woreda, Northshewa Ethiopia, 2023: A Cross-Sectional Study.Health science reports · 2026Article
- The association between sedentary behavior and infertility: a population-based cross-sectional observational study and Mendelian randomization analysis.Reproductive biology and endocrinology : RB&E · 2025Observational
- Relationships between inflammatory indicators, nutritional status, and metabolic status and female infertility.Reproductive health · 2025Article
- Correlation between Castelli risk index-I and female infertility: A cross-sectional study.Lipids in health and disease · 2025Article
- Global Spatiotemporal Trends and Modifiable Risk Factors for Female Infertility: An Age-Period-Cohort Using Global Burden of Disease Study 2021 and Mendelian Randomization Analysis.International journal of women's health · 2025Article
- Association between estimated glucose disposal rate and female infertility: a cross-sectional study.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivesTo explore the association between tea, coffee, and caffeine consumption and the risk of female infertility.
methodsWe analyzed data from 2099 females aged 18 to 44 years, participating in the National Health and Nutrition Examination Survey (NHANES) 2013-2018. We used generalized linear models (GLM) and generalized additive model (GAM) to investigate the dose-response relationship between the tea, coffee, and caffeine consumption and infertility, adjusting for potential confounders.
resultsA non-linear relationship was detected between tea consumption and infertility and the inflection point was 2 cups/day. On the right side of the inflection point, we did not detect a significant association. However, on the left side, we found a negative relationship between tea consumption and infertility (OR: 0.73; 95% CI: 0.57 to 0.93; P = 0.0122). Meanwhile, our study found no significant association between coffee (0.96, 0.81 to 1.13, P = 0.6189) or caffeine consumption (1.15, 0.93 to 1.42, P = 0.2148) and female infertility.
conclusionsTea consumption was non-linearly associated with infertility, whereas no significant associations were found between coffee, caffeine consumption and infertility.
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Registered trials
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