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Study questionIs sperm epigenetic aging (SEA) associated with probability of pregnancy among couples in the general population?Summary answerWe observed a 17% lower cumulative probability at 12 months for couples with male partners in the older compared to the younger SEA categories.What is known alreadyThe strong relation between chronological age and DNA methylation profiles has enabled the estimation of biological age as epigenetic 'clock' metrics in most somatic tissue. Such clocks in male germ cells are less developed and lack clinical relevance in terms of their utility to predict reproductive outcomes.Study design, size, durationThis was a population-based prospective cohort study of couples discontinuing contraception to become pregnant recruited from 16 US counties from 2005 to 2009 and followed for up to 12 months.Participants/materials, setting, methodsSperm DNA methylation from 379 semen samples was assessed via a beadchip array. A state-of-the-art ensemble machine learning algorithm was employed to predict age from the sperm DNA methylation data. SEA was estimated from clocks derived from individual CpGs (SEACpG) and differentially methylated regions (SEADMR). Probability of pregnancy within 1 year was compared by SEA, and discrete-time proportional hazards models were used to evaluate the relations with time-to-pregnancy (TTP) with adjustment for covariates.Main results and the role of chanceOur SEACpG clock had the highest predictive performance with correlation between chronological and predicted age (r = 0.91). In adjusted discrete Cox models, SEACpG was negatively associated with TTP (fecundability odds ratios (FORs)=0.83; 95% CI: 0.76, 0.90; P = 1.2×10-5), indicating a longer TTP with advanced SEACpG. For subsequent birth outcomes, advanced SEACpG was associated with shorter gestational age (n = 192; -2.13 days; 95% CI: -3.67, -0.59; P = 0.007). Current smokers also displayed advanced SEACpG (P

Background: Phthalates are endocrine-disrupting chemicals linked to adverse pregnancy outcomes. Despite the sensitivity of female reproductive processes to oxidation-reduction reaction stress and endocrine disruption, evidence for the impact of women's phthalate exposure on the ability to establish and maintain pregnancy has been inconclusive. Objectives: We aimed to determine the relationship of preconception phthalate metabolite exposure with a) fecundability and pregnancy loss and b) markers of potential biological mechanisms, including reproductive hormones, inflammation, and oxidative stress. Methods: Data were collected from the Effects of Aspirin in Gestation and Reproduction (EAGeR) trial, a preconception study following 1,228 women who were attempting pregnancy, for up to six menstrual cycles and throughout pregnancy if they became pregnant. Twenty phthalate metabolites were measured in a consecutive 3-d pooled urine sample at enrollment. Pregnancy was determined through urinary human chorionic gonadotropin (hCG) at the expected date of menses during each cycle and pregnancy loss as an observed loss following positive hCG. Highly sensitive C-reactive protein (hsCRP) and isoprostanes were measured at enrollment, and reproductive hormones were measured during the follicular phase, ovulation, and luteal phase. Discrete-time Cox proportional hazards models evaluated the relationship of phthalate metabolites with fecundability and weighted Poisson models with robust variance evaluated the risk of pregnancy loss. Results: An interquartile range (IQR) higher mono-(2-ethylhexyl) phthalate [fecundability odds ratio (FOR) =0.88; 95% confidence interval (CI): 0.78, 1.00], mono-butyl phthalate (FOR = 0.82; 95% CI: 0.70, 0.96), and mono-benzyl phthalate (FOR = 0.85; 95% CI: 0.74, 0.98) was associated with lower fecundability. No consistent associations were observed with pregnancy loss. Preconception phthalates were consistently associated with higher hsCRP and isoprostanes, as well as lower estradiol and higher follicle-stimulating hormone across the menstrual cycle. Discussion: Women's preconception exposure to phthalates was associated with lower fecundability, changes in reproductive hormones, and increased inflammation and oxidative stress. The pre- and periconception periods may represent sensitive windows for intervening to limit the reproductive toxicity of phthalate exposure. https://doi.org/10.1289/EHP12287, Introduction Phthalates are esters of 1,2-benzene dicarboxylic acid commonly used as plasticizers in polyvinyl chloride and as stabilizers in many personal care products. Common sources of phthalate exposure include inhalation [...]

Systematic reviews and meta-analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for different sets of confounders, fail to control for important confounders, or have classification errors resulting in only partial control of measured confounders. We present the confounder matrix--an approach for defining and summarizing adequate confounding control in systematic reviews of observational studies and incorporating this assessment into meta-analyses. First, an expert group reaches consensus regarding the core confounders that should be controlled and the best available method for their measurement. Second, a matrix graphically depicts how each component study accounted for each confounder. Third, the assessment of control adequacy informs quantitative synthesis. We illustrate the approach with studies of the association between short interpregnancy intervals and preterm birth. Our findings suggest that uncontrolled confounding, notably by reproductive history and sociodemographics, resulted in exaggerated estimates. Moreover, no studies adequately controlled for all core confounders, so we suspect residual confounding is present, even among studies with better control. The confounder matrix serves as an extension of previously published methodological guidance for observational research synthesis, enabling transparent reporting of confounding control and directly informing meta-analysis so that conclusions are drawn from the best available evidence. Widespread application could raise awareness about gaps across a body of work and allow for more valid inference with respect to confounder control.

Background: Multifetal gestation could be associated with higher long‐term maternal mortality because it increases the risk of pregnancy complications such as preeclampsia and preterm birth, which are in turn linked to postpartum cardiovascular risk. Objectives: We examined whether spontaneously conceived multifetal versus singleton gestation was associated with long‐term maternal mortality in a racially diverse U.S. cohort. Methods: We ascertained vital status as of 2016 via linkage to the National Death Index and Social Security Death Master File of 44,174 mothers from the Collaborative Perinatal Project (CPP; 1959–1966). Cox proportional hazards models with maternal age as the time scale assessed associations between history of spontaneous multifetal gestation (in the last CPP observed pregnancy or prior pregnancy) and all‐cause and cardiovascular mortality, adjusted for demographics, smoking status, and preexisting medical conditions. We calculated hazard ratios (HR) for all‐cause and cause‐specific mortality over the study period and until age 50, 60, and 70 years (premature mortality). Results: Of eligible participants, 1672 (3.8%) had a history of multifetal gestation. Participants with versus without a history of multifetal gestation were older, more likely to have a preexisting condition, and more likely to smoke. By 2016, 51% of participants with and 38% of participants without a history of multifetal gestation had died (unadjusted all‐cause HR 1.14, 95% confidence interval [CI] 1.07, 1.23). After adjustment for smoking and preexisting conditions, a history of multifetal gestation was not associated with all‐cause (adjusted HR 1.00, 95% CI 0.93, 1.08) or cardiovascular mortality (adjusted HR 0.99, 95% CI 0.87, 1.11) over the study period. However, history of multifetal gestation was associated with an 11% lower risk of premature all‐cause mortality (adjusted HR 0.89, 95% CI 0.82, 0.96). Conclusions: In a cohort with over 50 years of follow‐up, history of multifetal gestation was not associated with all‐cause mortality, but may be associated with a lower risk of premature mortality. [ABSTRACT FROM AUTHOR]

STUDY QUESTION Are there significant associations existing between parental age differences and adverse perinatal outcomes? SUMMARY ANSWER Large differences in parental age are associated with adverse perinatal outcomes, particularly with older mothers paired with younger fathers. WHAT IS KNOWN ALREADY The association between advanced maternal age and perinatal outcomes is well-documented with women over 35 years showing an increased risk of several adverse outcomes. Other studies have identified potential associations between advanced paternal age and adverse perinatal outcomes. STUDY DESIGN, SIZE, DURATION A historical (retrospective) cohort analysis was performed utilizing a multivariable logistic regression model to evaluate the association between varying differences in parental age and adverse perinatal outcomes while controlling for demographic and health-related covariates. Data were compiled from the National Vital Statistics System for 20 613 704 births between 2012 and 2018. PARTICIPANTS/MATERIALS, SETTING, METHODS Parental age differences, categorized into eleven 4-year intervals, were stratified by seven maternal age categories and evaluated for their associations with adverse perinatal outcomes. Main outcome measures included low birth weight, very low birth weight, preterm birth, very preterm birth, small size for gestational age, low 5-min appearance, pulse, grimace, activity, and respiration score, congenital defects, and chromosomal anomalies. MAIN RESULTS AND THE ROLE OF CHANCE Increased parental age differences, in either direction, were associated with significant risks for all adverse outcomes, aside from congenital defects, even when controlling for maternal age. Restricting maternal age to the reference range of 25–29 years, infants born to fathers aged 9–12 years younger (n = 3773) had 27% (odds ratio (OR) 1.27, 95% CI, 1.17–1.37) higher odds of having any adverse perinatal outcome. Infants born to fathers aged >16 years older (n = 98 555) had 14% (OR 1.14, 95% CI, 1.12–1.16) higher odds of having any adverse perinatal outcome. LIMITATIONS, REASONS FOR CAUTION Data extracted from US birth certificates may be compromised by errors in reporting or documentation. Information regarding the mother's socioeconomic status was estimated using proxy variables and may be susceptible to uncontrolled factors. Use of a pre-compiled dataset may potentially exclude additional maternal comorbidities that could impact perinatal outcomes. WIDER IMPLICATIONS OF FINDINGS Older mothers paired with younger fathers demonstrated the highest risk, even when maternal age was below the threshold of 35 years. For the clinical setting, parental age differences should be considered alongside maternal and paternal age when assessing risks of adverse perinatal outcomes for potential parents. This is particularly relevant for older women with younger male partners as this may exacerbate the impact of advanced maternal age. STUDY FUNDING/COMPETING INTEREST(S) This research was funded by the NIH Research Fellowship T35 Training Grant. There are no competing interests. TRIAL REGISTRATION NUMBER N/A. [ABSTRACT FROM AUTHOR]

Background: The metabolic changes that ultimately lead to gestational diabetes mellitus (GDM) likely begin before pregnancy. Cannabis use might increase the risk of GDM by increasing appetite or promoting fat deposition and adipogenesis. Objectives: We aimed to assess the association between preconception cannabis use and GDM incidence. Methods: We analysed individual‐level data from eight prospective cohort studies. We identified the first, or index, pregnancy (lasting ≥20 weeks of gestation with GDM status) after cannabis use. In analyses of pooled individual‐level data, we used logistic regression to estimate study‐type‐specific odds ratios (OR) and 95% confidence intervals (CI), adjusting for potential confounders using random effect meta‐analysis to combine study‐type‐specific ORs and 95% CIs. Stratified analyses assessed potential effect modification by preconception tobacco use and pre‐pregnancy body mass index (BMI). Results: Of 17,880 participants with an index pregnancy, 1198 (6.7%) were diagnosed with GDM. Before the index pregnancy, 12.5% of participants used cannabis in the past year. Overall, there was no association between preconception cannabis use in the past year and GDM (OR 0.97, 95% CI 0.79, 1.18). Among participants who never used tobacco, however, those who used cannabis more than weekly had a higher risk of developing GDM than those who did not use cannabis in the past year (OR 2.65, 95% CI 1.15, 6.09). This association was not present among former or current tobacco users. Results were similar across all preconception BMI groups. Conclusions: In this pooled analysis of preconception cohort studies, preconception cannabis use was associated with a higher risk of developing GDM among individuals who never used tobacco but not among individuals who formerly or currently used tobacco. Future studies with more detailed measurements are needed to investigate the influence of preconception cannabis use on pregnancy complications. [ABSTRACT FROM AUTHOR]

The Preconception Period Analysis of Risks and Exposures Influencing Health and Development (PrePARED) Consortium creates a novel resource for addressing preconception health by merging data from numerous cohort studies. In this paper, we describe our data harmonization methods and results. Individual-level data from 12 prospective studies were pooled. The crosswalk-cataloging-harmonization procedure was used. The index pregnancy was defined as the first postbaseline pregnancy lasting more than 20 weeks. We assessed heterogeneity across studies by comparing preconception characteristics in different types of studies. The pooled data set included 114,762 women, and 25,531 (22%) reported at least 1 pregnancy of more than 20 weeks' gestation during the study period. Babies from the index pregnancies were delivered between 1976 and 2021 (median, 2008), at a mean maternal age of 29.7 (standard deviation, 4.6) years. Before the index pregnancy, 60% of women were nulligravid, 58% had a college degree or more, and 37% were overweight or obese. Other harmonized variables included race/ethnicity, household income, substance use, chronic conditions, and perinatal outcomes. Participants from pregnancy-planning studies had more education and were healthier. The prevalence of preexisting medical conditions did not vary substantially based on whether studies relied on self-reported data. Use of harmonized data presents opportunities to study uncommon preconception risk factors and pregnancy-related events. This harmonization effort laid the groundwork for future analyses and additional data harmonization. [ABSTRACT FROM AUTHOR]