Combined impact of sleep and obesity on female infertility in the NHANES 2017-2020.

BACKGROUND: Sleep health and obesity may affect the risk of female infertility. However, few studies focused on the interaction of obesity and sleep health on the female infertility risk. This study aimed to evaluate the combined impact of trouble sleeping / sleep duration and overweight/obesity/ abdominal obesity on the risk of female infertility. METHODS: The data for this cross-sectional study was obtained from National Health and Nutritional Examination Survey, which provided information on trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and confounding factors. Adopted weighted univariate and multivariate logistic regression models to explore the relationship between trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and the risk of infertility, respectively, and the combined effect of trouble sleeping and overweight/obesity, trouble sleeping and abdominal obesity, sleep duration and overweight/obesity, sleep duration and abdominal obesity, on the female infertility risk. RESULTS: This study included a total of 1,577 women, and 191 were diagnosed with infertility. Women with infertility had a higher proportion of people with overweight/obesity, abdominal obesity, sleep duration ≤ 7 h and trouble sleeping than those with non-infertility. The result indicated that trouble sleeping [odds ratio (OR) = 2.25, 95% confidence intervals (CI): 1.49-3.39], sleep duration ≤ 7 h (OR = 1.59, 95% CI: 1.03-2.48), and the combined impact of abdominal obesity and trouble sleeping (OR = 2.18, 95% CI: 1.28-3.72), abdominal obesity and sleep duration ≤ 7 h (OR = 2.00, 95% CI: 1.17-3.40), overweight/obesity and trouble sleeping (OR = 2.29, 95% CI: 1.24-4.26), and overweight/obesity and sleep duration ≤ 7 h (OR = 1.88, 95% CI: 1.01-3.49) were associated with increased odds of infertility, respectively. CONCLUSION: There was combined effects of trouble sleeping/sleep duration ≤ 7 h and overweight/obesity/ abdominal obesity on increased odds of female infertility.

The varying estimation of infertility in Ethiopia: the need for a comprehensive definition.

BACKGROUND: Infertility is a marginalized sexual and reproductive health issue in low-resource settings. Globally, millions are affected by infertility, but the lack of a universal definition makes it difficult to estimate the prevalence of infertility at the population level. Estimating the prevalence of infertility may inform targeted and accessible intervention, especially for a resource-limited country like Ethiopia. This study aims to estimate the prevalence of female infertility in Ethiopia using the Demographic and Health Survey (DHS) through two approaches: (i) the demographic approach and (ii) the current duration approach. METHODS: Data from 15,683 women were obtained through the 2016 Ethiopian DHS. The demographic approach estimates infertility among women who had been married/in a union for at least five years, had never used contraceptives, and had a fertility desire. The current duration approach includes women at risk of pregnancy at the time of the survey and determines their current length of time-at-risk of pregnancy at 12, 24, and 36 months. Logistic regression analysis estimated the prevalence of infertility and factors associated using the demographic approach. Parametric survival analysis estimated the prevalence of infertility using the current duration approach. All estimates used sampling weights to account for the DHS sampling design. STATA 14 and R were used to perform the statistical analysis. RESULTS: Using the demographic definition, the prevalence of infertility was 7.6% (95% CI 6.6-8.8). When stratified as primary and secondary infertility, the prevalence was 1.4% (95% CI 1.0-1.9) and 8.7% (95% CI 7.5-10.1), respectively. Using the current duration approach definition, the prevalence of overall infertility was 24.1% (95% CI 18.8-34.0) at 12-months, 13.4% (95% CI 10.1-18.6) at 24-months, and 8.8% (95% CI 6.5-12.3) at 36-months. CONCLUSION: The demographic definition of infertility resulted in a lower estimate of infertility. The current duration approach definition could be more appropriate for the early detection and management of infertility in Ethiopia. The findings also highlight the need for a comprehensive definition of and emphasis on infertility. Future population-based surveys should incorporate direct questions related to infertility to facilitate epidemiological surveillance.

Association between dietary inflammation index and female infertility from National Health and Nutrition Examination Survey: 2013-2018.

Objective: To investigate the relationship between dietary inflammatory index (DII) scores and infertility in US adults aged 18 to 45. Methods: Data were gathered from the 2013-2018 National Health and Nutrition Examination Survey (NHANES). In total, 3496 women were included in the study. To examine the relationship between DII, EDII and infertility, a weighted multivariable logistic regression analysis using continuous factors or categorical variables grouped by quartiles was conducted. Using subgroup analysis stratified based on DII and infertility features, the association between DII and infertility has been further studied. In order to determine whether there was a nonlinear relationship between DII and infertility, restricted cubic spline (RCS) analysis was carried out. Results: For statistical analysis, a total of 3496 individuals - 367 patients with infertility and 3129 persons without infertility - were included. A multivariable logistic regression study revealed a positive relationship between DII and infertility. A significant difference in subgroup analysis was shown in age group and race, although RCS analysis demonstrated nonlinear relationship between the DII and infertility. Conclusion: For participants aged 18-45 years, higher DII scores were positively correlated with infertility. In addition, anti-inflammatory diets might improve infertility outcomes.

The impact of modifiable lifestyle factors on women's fertility.

The current study centred on assessing the effect of various lifestyle factors (diet, physical activity [PA] level, sleep pattern, and stress level) on women's fertility. This hospitalbased comparative study was conducted at the Avicenna Medical College and Hospital, Lahore, Pakistan, with 104 females (aged 18-40 years) as participants. Half the participants had a history of infertility and 51.8% had a BMI >25. About 43% and 85% reported intake of "junk food" and "fruit and vegetable (F&V)", respectively, twice a week. DASS-21 scale endorsed "moderate-to-high-stress" in 58% of the participants. Further, moderate and intense PAable was documented in 30% and 20% of the participants. About 37% reported sleeping for ≤5 hours/day. Fertility was significantly but inversely correlated with F&V intake, stress level, and BMI. Less sleep and a sedentary lifestyle had a significantly detrimental impact on fertility. Women's fertility was positively impacted by F&V intake, moderate PA, and adequate sleep but negatively impacted by obesity and mental stress.

A new insight on evaluation of the fertility and pregnancy outcome in patients with primary Sjögren syndrome: a propensity score matched study in multi-IVF centers.

BACKGROUND: Primary Sjögren syndrome (pSS) is often related to adverse neonatal outcomes. But it's currently controversial whether pSS has an adverse effect on female fertility and clinical pregnancy condition. More importantly, it's unclear regarding the role of pSS in oocyte and embryonic development. There is a lack of comprehensive understanding and evaluation of fertility in pSS patients. OBJECTIVE: This study aimed to investigate oocyte and embryonic development, ovarian reserve, and clinical pregnancy outcomes in Primary Sjögren syndrome (pSS) patients during in vitro fertilization (IVF) treatment from multi-IVF centers. METHODS: We performed a muti-central retrospective cohort study overall evaluating the baseline characteristics, ovarian reserve, IVF laboratory outcomes, and clinical pregnancy outcomes between the pSS patients and control patients who were matched by Propensity Score Matching. RESULTS: Following PSM matching, baseline characteristics generally coincided between the two groups. Ovarian reserve including anti-müllerian hormone (AMH) and antral follicle counting (AFC) were significantly lower in the pSS group vs comparison (0.8 vs. 2.9 ng/mL, P < 0.001; 6.0 vs. 10.0, P < 0.001, respectively). The pSS group performed significant reductions in numbers of large follicles, oocytes retrieved and MII oocytes. Additionally, pSS patients exhibited obviously deteriorate rates of oocyte maturation, 2PN cleavage, D3 good-quality embryo, and blastocyst formation compared to comparison. As for clinical pregnancy, notable decrease was found in implantation rate (37.9% vs. 54.9%, P = 0.022). The cumulative live birth rate (CLBR) following every embryo-transfer procedure was distinctly lower in the pSS group, and the conservative and optimal CLBRs following every complete cycle procedure were also significantly reduced in the pSS group. Lastly, the gestational weeks of the newborns in pSS group were distinctly early vs comparison. CONCLUSION: Patients with pSS exhibit worse conditions in terms of female fertility and clinical pregnancy, notably accompanied with deteriorate oocyte and embryo development. Individualized fertility evaluation and early fertility guidance are essential for these special patients.

Association between bacterial vaginosis, Chlamydia trachomatis infection and tubal factor infertility in Bukavu, Democratic Republic of Congo.

BACKGROUND: Tubal factor infertility (TFI) is common in sub-Saharan Africa and often secondary to pelvic inflammatory disease (PID). Anaerobes associated with bacterial vaginosis (BV) are also found in PIDs widely dominated by Chlamydia trachomatis (C. trachomatis), whose role in TFI is better demonstrated than that of BV. OBJECTIVES: To determine the prevalence of BV and C. trachomatis and to investigate the association between BV, C. trachomatis and TFI. METHODS: We included 137 patients treated for infertility between January 2020 and November 2021. Cases were defined as women with infertility aged 18-45 years presenting with TFI (n = 52), and controls as infertile women in the same age groups without TFI (n = 85). Data on social habits, life style and infertility parameters were collected, and we performed screening for BV and C. trachomatis. Multiple regression was used to measure associations. RESULTS: The prevalence of BV and C. trachomatis was 42.3% (58/137) and 23.4% (32/137), respectively. BV (61.5% vs 30.6%, p<0.001) and C. trachomatis (48.1 vs 8.2%, p<0.001) were more frequent in cases of TFI. BV and C. trachomatis increased the risk of TFI approximately 4-fold [aOR: 3.77 (1.61-8.83), p=0.002] and 14-fold [aOR: 13.77 (4.59-41.27), p<0.001], respectively. CONCLUSION: BV and C. trachomatis infection are strongly associated with TFI in Bukavu. Prevention and screening should be implemented to reduce the risk of TFI.

Effects of physical activity on infertility in reproductive females.

OBJECTIVES: To explore the relationship between different types of physical activity and female infertility. METHODS: This study analyzed data from 2,796 female participants aged 18-44 years in the United States, obtained from the National Health and Nutrition Examination Survey (NHANES) database spanning the years 2013 to 2020. Multiple logistic regression analyses and generalized linear models were used to explore the relationship between different types of physical activity and infertility after adjusting for potential confounding factors. RESULTS: We found a non-linear relationship between recreational activities and infertility with an inflection point of 5.83 h/week (moderate intensity), while work activities and traffic-related activities did not. On the left side of the inflection point, there was no significant association between recreational activity time and infertility (OR = 0.93, 95% CI: 0.86 to 1.02, P = 0.1146), but on the right side of the inflection point, there was a positive association between recreational activity time and the risk of infertility (OR = 1.04, 95% CI: 1.02 to 1.06, P = 0.0008). CONCLUSIONS: The relationship between different types of physical activity and female infertility varies. We acknowledge the potential influence of confounding variables on this relationship. However, we have already adjusted for these potential variables in our analysis. Therefore, our findings suggest that appropriate recreational activity programs are essential for promoting reproductive health in women of reproductive age. Nevertheless, it is important to note that the observed association does not imply causality. Given the limitations of cross-sectional studies, further prospective cohort studies are needed to explore the causal relationship while accounting for additional confounding factors.

Infertility and Impaired Fecundity in Women and Men in the United States, 2015-2019.

Objectives-Using National Survey of Family Growth data from 2015-2019, this report presents updated national estimates of infertility in U.S. women and men and estimates of impaired fecundity (physical ability to have children) in U.S. women. Detailed demographic breakdowns are also presented, and overall estimates for 2015-2019 are compared with those for 2011-2015. Methods-Data for this report come primarily from the 2015-2019 National Survey of Family Growth, which consisted of 21,441 interviews with men and women ages 15-49, conducted from September 2015 through September 2019. The response rate was 65.9% for women and 62.4% for men. Results-The percentage of women ages 15-44 who had impaired fecundity did not change between 2011-2015 and 2015-2019. The percentage of married women with impaired fecundity also remained stable over this time period. Among all women, 13.4% of women ages 15-49 and 15.4% of women ages 25-49 had impaired fecundity in 2015-2019. The percentage of married women ages 15-44 who were infertile rose from 2011-2015 (6.7%) to 2015-2019 (8.7%). Among married and cohabiting women ages 15-49 in 2015-2019, 7.8% had infertility. Both infertility and impaired fecundity were associated with age for nulliparous (never had a live birth) women after adjusting for other factors. Some form of infertility (either subfertility or nonsurgical sterility) was seen in 11.4% of men ages 15-49 and 12.8% of men ages 25-49 in 2015-2019. . Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.

Impact of primary care posttraumatic stress disorder (PC-PTSD) on fertility problem of Iranian women with infertility during the COVID-19 pandemic.

BACKGROUND: Infertility continued to be a major stressor among women with infertility during COVID-19pandemic. This study aimed to evaluate the impact of primary care posttraumatic stress disorder (PC-PTSD) on fertility problem of Iranian women with infertility during COVID-19 pandemic. METHOD: In this cross-sectional study, 386 women with infertility completed the questionnaires of PC-PTSD-5 and Fertility Problem Inventory (FPI) at an infertility center between 2020 and 2022. RESULTS: The mean of fertility problems was 145.20 (± 32.31). In terms of FPI subscales, the means were as follows: Sexual concern 21.80 (± 7.58), social concern 26.53 (± 8.94), relationship concern 26.02 (± 9.18), need for parenthood concern 40.88 (± 8.98), and rejection of childfree lifestyle 29.96 (± 7.69). The highest mean of FPI subscales was related to the need for parenthood concern in women with infertility. The strongest correlation was found between the subscales of sexual concern and social concern followed by sexual concern and relationship concern. The variables of PC-PTSD were a predictor of fertility problems (ß = 0.203, P < .0001). Additionally, the variables of PC-PTSDwere a predictor of sexual concern (ß = 0.248, P < .0001), social concern (ß = 0.237, P < .0001), relationship concern (ß = 0.143, P < .020), and need for parenthood concern (ß = 0.101, P < .010). After adjusting for demographic characteristics, there was a significant relationship between FPI with job (ß=-0.118, P < .031), education (ß=-0.130, P < .023), living place (ß = 0.115, P < .035), smoking (ß = 0.113, P < .036), relationship with husband (ß = 0.118, P < .027), and PC-PTSD symptom (ß = 0.158, P < .0001). In addition, the multivariate linear regression showed a significant association between sexual concern and education (ß=-0.152, P < .008), smoking (ß = 0.129, P < .018), PC-PTSD symptom (ß = 0.207, P < .0001); social concern and job (ß=-0.119, P < .033), PC-PTSD symptom (ß = 0.205, P < .0001); relationship concern and education (ß=-0.121, P < .033), living place (ß = 0.183, P < .001), relationship with husband (ß = 0.219, P < .0001); and rejection of childfree lifestyle and job (ß=-0.154, P < .007). CONCLUSION: Systematic PTSD screening during COVID-19 pandemic by healthcare providers can be uniquely used to identify, evaluate, and treat trauma-related health conditions in infertility settings, which can link women with infertility to mental health services. This can be novel and useful for future policymakers and practitioners in the infertility field.

Determinants of Conception and Adverse Pregnancy Outcomes in Women with Endometriosis: A Longitudinal Study.

Endometriosis, affecting approximately 10% of reproductive-aged women globally, poses significant challenges, including chronic pelvic pain, dysmenorrhea, and infertility. In low- and middle-income countries like India, accessibility to affordable infertility care remains a concern. This multicenter prospective cohort study, conducted across six tertiary care hospitals in India from 2017 to 2022, aims to explore the natural progression of conception and pregnancy outcomes in women with endometriosis. Of the 257 participants, 19.1% conceived during the study, revealing significant geographic and income-based variations (p < 0.001, p = 0.01). Dysmenorrhea (p < 0.001) and dyspareunia (p=0.027) were correlated with conception, while no such associations were found with chronic pelvic pain or menstrual factors. Lesion type, number, and severity showed no conclusive link with conception. Natural conception occurred in 70% of cases, with an average post-surgery conception time of 282.1 days. Live birth rate was 85.7%, while complications included placenta previa (16.4%), preeclampsia (4.1%), and preterm births (4.1%). This study, one of the first in India on endometriosis-related fertility progression, emphasizes the need for comprehensive understanding and management of conception and pregnancy outcomes. Considering India's substantial endometriosis burden, the study recommends prioritizing larger multicenter investigations for a better understanding and effective strategies for infertility management.

Global prevalence of major depressive disorder, generalized anxiety, stress, and depression among infertile women: a systematic review and meta-analysis.

BACKGROUND: In recent years, the global prevalence of infertility has increased among women (Talmor and Dunphy, Best Pract Res Clin Obstet Gynaecol 29(4):498-506, 2015) and is considered as a public health concern. One of the impacts of infertility is mental health problems in the patients, which can lead to complications such as stress, anxiety, and depression. The aim of this study is to investigate the global prevalence of major depressive disorder, general anxiety, stress, and depression in infertile women through a systematic review and meta-analysis. METHODS: To identify studies that have reported the prevalence of major depressive disorder, generalized anxiety, stress, and depression in infertile women, the PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar repositories were systematically searched. Articles published up until February 2023 were included, while no lower time limit was imposed in the search strategy. Heterogeneity of studies was examined using the I2 test and, thus, random-effects model was used to perform the analysis. Data analysis was conducted within the Comprehensive Meta-Analysis (v.2) software. RESULTS: In the review of 44 studies with a sample size of 53,300 infertile female patients, the overall prevalence of major depressive disorder (clinical depression), generalized anxiety, stress, and depression was found to be 22.9%, 13.3%, 78.8%, and 31.6% respectively. It was also found that mental health complications are more prevalent among infertile women in Asia (continent). CONCLUSION: Considering the prevalence of mental disorders among infertile women, health policymakers can use the results of the present meta-analysis to pay more attention to the mental health of infertile women and devise suitable interventions and programs to reduce and prevent the spread of psychological disorders among infertile women.

Association between polycyclic aromatic hydrocarbons and infertility in U.S. women: National Health and Nutrition Examination Survey 2013-2016.

Although there is a body of research indicating the potential impact of polycyclic aromatic hydrocarbons (PAHs) exposure on male infertility, the understanding of how PAH might affect female infertility is still limited. This study aimed to evaluate associations of PAHs, both individually and as a mixture, with female infertility using multiple logistic regression, Bayesian kernel machine regression (BKMR), and quantile g-computation (QGC) models based on data from the National Health and Nutrition Examination Survey (NHANES) 2013-2016. The study included 729 female participants. Multiple logistic regression results indicated that there was a significant association between the third tertile of 2-hydroxy fluorene (2-OHFLU) and female infertility, and the OR was 2.84 (95% CI: 1.24-6.53, P value = 0.015) compared with the first tertile after adjusting for the potential covariates. The BKMR model revealed a positive overall trend between mixed PAH exposure and female infertility, particularly when the mixture was at or above the 55th percentile, where 2-hydroxynaphthalene (2-OHNAP) and 1-hydroxypyrene (1-OHPYR) were the primary influences of the mixture. The univariate exposure-response function indicated positive associations between individual PAH exposure, specifically 2-OHNAP, 2-OHFLU, and 1-OHPYR, and female infertility. The QGC model also indicated a positive trend between exposure to a mixture of PAHs and female infertility, although it did not reach statistical significance (OR = 1.33, 95%CI: 0.86-2.07), with 1-OHPYR having the greatest positive effect on the outcome. This study suggested that exposure to PAHs may be associated with female infertility and further research is needed to consolidate and confirm these findings.

Risk Factors for Infertility in Korean Women.

BACKGROUND: Female infertility is a crucial problem with significant implications for individuals and society. In this study, we explore risk factors for infertility in Korean women. METHODS: A total of 986 female patients who visited six major infertility clinics in Korea were recruited from April to December 2014. Fertile age-matched controls were selected from two nationwide survey study participants. Conditional logistic regression after age-matching was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of each risk factor for infertility. RESULTS: Women with a body mass index (BMI) < 18.5 kg/m² had 1.35 times higher odds of infertility (OR, 1.35; 95% CI, 1.03-1.77), while those with a BMI ≥ 25.0 kg/m² had even higher odds (OR, 2.06; 95% CI, 1.61-2.64) compared to women with a normal BMI (18.5 kg/m² ≤ BMI < 25 kg/m²). Ever-smokers exhibited 4.94 times higher odds of infertility compared to never-smokers (95% CI, 3.45-8.85). Concerning alcohol consumption, women who consumed ≥ 7 glasses at a time showed 3.13 times significantly higher odds of infertility than those who consumed ≤ 4 glasses at a time (95% CI, 1.79-5.48). Lastly, women with thyroid disease demonstrated 1.44 times higher odds of infertility compared to women without thyroid disease (95% CI, 1.00-2.08). CONCLUSION: Female infertility in Korea was associated with underweight, obesity, smoking, alcohol consumption, and thyroid disease.

Associations of weight-adjusted-waist index and depression with secondary infertility.

Background: Obesity and psychological factors were identified as risk factors for female infertility. The study investigated the correlation between WWI, depression, and secondary infertility, focusing on the potential mediating role of depression. Methods: According to the data from NHANES, this cross-sectional study used multiple regression analysis, subgroup analysis, and smooth curve fitting to explore the relationship between WWI, depression, and secondary infertility. The diagnostic ability of WWI was evaluated and compared to other obesity indicators using the ROC curve. The mediating effect test adopted the distribution of the product. Results: This study involved 2778 participants, including 381 (13.7%) women with secondary infertility. Results showed that higher WWI (OR = 1.31; 95% CI, 1.11-1.56) and depression scores (OR = 1.03; 95% CI, 1.01-1.06) were associated with secondary infertility. There was a positive correlation between WWI and secondary infertility (nonlinear p = 0.8272) and this association was still consistent in subgroups (all P for interaction> 0.05). Compared with other obesity indicators, WWI (AUC = 0.588) also shows good predictive performance for secondary infertility. Mediation analysis showed that depression mediated the relationship between 3.94% of WWI and secondary infertility, with a confidence interval of Za * Zb excluding 0. Conclusion: WWI exhibited a relatively good correlation in predicting secondary infertility than other obesity indicators, and depression may be a mediator between WWI and secondary infertility. Focusing on the potential mediating role of depression, the risk of secondary infertility due to obesity may be beneficially reduced in women.

The association between COVID-19 and infertility: Mendelian randomization analysis.

Since December 2019, COVID-19 has triggered a global pandemic. The association of COVID-19 with the long-term reproductive situation of women and males is not clear. Thus, our aim was to assess the causal association between COVID-19 and infertility using Mendelian randomization (MR) analysis based on the OpenGWAS database. Two-sample MR analysis was conducted using one genome-wide association study (GWAS) on COVID-19 and infertility in individuals of European ancestry. The summary data of genetic variation come from the GWAS in European populations. We applied several MR methods, including MR Egger, weighted median, inverse variance weighted, simple mode, weighted mode, to test causal relationships. After observing the statistical analysis results of MR, we conducted sensitivity analysis to test robustness. After gene prediction, it was found that there was no clear causal relationship between COVID-19 and male infertility in MR analysis [OR 0.4702 (95% CI, 0.1569-1.4093), P = .178]. Moreover, COVID-19 was not associated with female infertility [OR 0.9981 (95% CI, 0.763-1.544), P = .646]. Sensitivity analysis showed that the MR results were robust [level pleiotropy, male: (MR-Egger, intercept = 0.1967434; se = 0.1186876; P = .2392406); female: (MR-Egger, intercept = -0.05902506; se = 0.05362049; P = .3211367)]. To further validate the impact of COVID-19 on infertility, we added a covariate (sex hormone binding global levels, abortion) to the MR analysis, which is a multivariate MR analysis. According to univariate and multivariate MR analyses, the evidence does not support that COVID-19 is a causal risk factor for infertility in European population. This information can provide information for doctors in reproductive centers when managing infertility patients.

High Dietary Inflammatory Index increases the risk of female infertility: An analysis of NHANES 2013-2018.

Diet-related inflammation, which can be evaluated using the dietary inflammatory index (DII), is increasingly related to female infertility. However, studies on the association between DII and infertility are limited. In this study, we aim to explore the association between DII and infertility and its dose-effect relationship among women aged 20 to 45 years through a cross-sectional analysis of the National Health and Nutrition Examination Survey 2013-2018. A total of 2613 women aged 20 to 45 years were included and analyzed. The DII was calculated using the first 24-hour dietary recall interview data and divided into quartiles. Weighted multivariable logistic regression and restricted cubic spline analysis were used to explore the relationship between DII and infertility. The odds ratio (OR) (95% confidence interval [CI]) for the association between DII and infertility was 1.06 (0.96-1.19) after multivariable adjustment. Compared with the first quartile (anti-inflammatory diet), the fourth quartile of DII (pro-inflammatory diet) was more strongly associated with an increased risk of infertility, with an OR of 1.61 (95% CI, 1.05-2.47). Restricted cubic splines showed a J-shaped nonlinear association between DII and infertility (P for nonlinear = .003), with a cutoff point of 2.45. When DII was higher than 2.45, the OR for infertility was 1.95 (95% CI, 1.49-2.54). Similar results were observed among the subgroup analyses. In conclusion, this study found high DII (pro-inflammatory diet) increases the risk of female infertility. DII had a J-shaped nonlinear relationship with female infertility, whose cut point is 2.45. Controlling the intake of pro-inflammatory food may be beneficial for female infertility.

Infertility and risk of postmenopausal breast cancer in the women's health initiative.

PURPOSE: Although infertility (i.e., failure to conceive after ≥ 12 months of trying) is strongly correlated with established breast cancer risk factors (e.g., nulliparity, number of pregnancies, and age at first pregnancy), its association with breast cancer incidence is not fully understood. Previous studies were primarily small clinic-based or registry studies with short follow-up and predominantly focused on premenopausal breast cancer. The objective of this study was to assess the relationship between infertility and postmenopausal breast cancer risk among participants in the Women's Health Initiative (analytic sample = 131,784; > 25 years of follow-up). METHODS: At study entry, participants were asked about their pregnancy history, infertility history, and diagnosed reasons for infertility. Incident breast cancers were self-reported with adjudication by trained physicians reviewing medical records. Cox proportional hazards models were used to estimate risk of incident postmenopausal breast cancer for women with infertility (overall and specific infertility diagnoses) compared to parous women with no history of infertility. We examined mediation of these associations by parity, age at first term pregnancy, postmenopausal hormone therapy use at baseline, age at menopause, breastfeeding, and oophorectomy. RESULTS: We observed a modest association between infertility (n = 23,406) and risk of postmenopausal breast cancer (HR = 1.07; 95% CI 1.02-1.13). The association was largely mediated by age at first term pregnancy (natural indirect effect: 46.4% mediated, CI 12.2-84.3%). CONCLUSION: These findings suggest that infertility may be modestly associated with future risk of postmenopausal breast cancer due to age at first pregnancy and highlight the importance of incorporating reproductive history across the life course into breast cancer analyses.

The details matter: personalized prediction of live birth after in vitro fertilization in women with polycystic ovary syndrome.

OBJECTIVE: To derive and internally validate a clinical prediction model for live birth (LB) in women with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization (IVF). DESIGN: Retrospective cohort study. SETTING: Four academic reproductive endocrinology clinics. PATIENTS: A total of 207 women with PCOS confirmed using Rotterdam criteria undergoing their first fresh IVF cycle. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The primary outcome was cumulative LB per IVF cycle start. This included any LB that resulted from either fresh embryo transfer or any subsequent frozen embryo transfer from embryos obtained at the index oocyte retrieval. A prediction model was derived using multivariable logistic regression. Covariates considered for inclusion in the prediction model included demographic characteristics, medical history, and prior fertility treatment. Predicted probabilities for LB were calculated using the prediction model which included the 90% shrinkage factor for each adjusted odds ratio. RESULTS: The final model, on the basis of maximization of the area under the receiver operating characteristic curve, included age < 35 years, White race, presence of polycystic ovaries on ultrasound (polycystic ovary morphology), normal body mass index (<25 kg/m2), being metabolically healthy (no metabolic risk factors), and being a nonresponder to ovulation induction agents including letrozole and clomiphene citrate. The area under the receiver operating characteristic curve score for the model was 0.68 (95% confidence interval [CI]: 0.60, 0.77). Predicted probabilities of LB ranged from 8.1% (95% CI: 2.8, 21.5) for a woman who had no favorable predictors to 74.2% (95% CI: 59.5, 84.9) for a woman who had all favorable predictors. CONCLUSION: Our study demonstrated that, in addition to anovulation, the underlying pathophysiology and associated comorbidities alter the likelihood of a successful pregnancy in women with PCOS undergoing IVF. Further validation of this model is needed before it can serve as a tool to personalize prediction estimates for the probability of LB in women with PCOS.