What are the roles of maternal preconception diabetes and related periconceptional hyperglycemia on the risk of major congenital malformations (MCMs) in offspring?
Summary Answer
Maternal periconceptional glycated hemoglobin (HbA1c) levels over 5.6% were associated with an increased risk of congenital heart defects (CHD) in the offspring, and maternal preconception diabetes was associated with an increased risk of CHD, including when HbA1c levels were within euglycemic ranges.
What Is Known Already
Maternal preconception diabetes has been linked with MCMs in the offspring. However, evidence concerning associations with specific periconception serum measures of hyperglycemia, and susceptibility of different organ systems, is inconsistent. Moreover, limited evidence exists concerning the effectiveness of antidiabetic medications in mitigating diabetes-related teratogenic risks.
Study Design, Size, Duration
A large Israeli birth cohort of 46 534 children born in 2001-2020.
Participants/Materials, Setting, Methods
Maternal HbA1c test results were obtained from 90 days before conception to mid-pregnancy. Maternal diabetes, other cardiometabolic conditions, and MCMs in newborns were ascertained based on clinical diagnoses, medication dispensing records, and laboratory test results using previously validated algorithms. Associations were modeled using generalized additive logistic regression models with thin plate penalized splines.
MAIN RESULTS AND THE ROLE OF CHANCE: Maternal periconceptional HbA1c value was associated with CHD in newborns, with the risk starting to increase at HbA1c values exceeding 5.6%. The association between HbA1c and CHD was stronger among mothers with type 2 diabetes mellitus (T2DM) compared to the other diabetes groups. Maternal pre-existing T2DM was associated with CHD even after accounting for HbA1C levels and other cardiometabolic comorbidities (odds ratio (OR)=1.89, 95% CI 1.18, 3.03); and the OR was materially unchanged when only mothers with pre-existing T2DM who had high adherence to antidiabetic medications and normal HbA1c levels were considered.
Limitations, Reasons for Caution
The rarity of some specific malformation groups limited the ability to conduct more granular analyses. The use of HbA1c as a time-aggregated measure of glycemic control may miss transient glycemic dysregulation that could be clinically meaningful for teratogenic risks.
Wider Implications of the Findings
The observed association between pre-existing diabetes and the risk of malformations within HbA1c levels suggests underlying causal pathways that are partly independent of maternal glucose control. Therefore, treatments for hyperglycemia might not completely mitigate the teratogenic risk associated with maternal preconception diabetes. STUDY FUNDING/COMPETING INTEREST(S): The work was supported by NIH grants K99ES035433, R01HD097778, and P30ES000002. None of the authors reports competing interests.
PMID 39406385 39406385 DOI 10.1093/humrep/deae233 10.1093/humrep/deae233 Rotem et al. 2024, Rotem 2024
Cite this article
Rotem, R., Weisskopf MG, M., Bateman, B., Huybrechts, K., & Hernandez Diaz, S. (2024). Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring. Human reproduction (Oxford, England), 39(12), 2816-2829. https://doi.org/10.1093/humrep/deae233
Rotem R, Weisskopf MG M, Bateman B, Huybrechts K, Hernandez Diaz S. Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring. Hum Reprod. 2024;39(12):2816-2829. doi:10.1093/humrep/deae233
Rotem, Ran, et al. "Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring." Human reproduction (Oxford, England), vol. 39, no. 12, 2024, pp. 2816-2829.
Malliou-Becher MN et al., 2026·Human reproduction (Oxford, England)
What are the variations in ovulation time and menstrual cycle characteristics among and within various individuals over the course of 12 menstrual cycles? There are considerable variations in both cycle length and ovulation time, with pronounced intra-individual variability over a 12-cycle observation period. Although it is commonly believed that healthy women have regular cycles with a predictable mid-cycle ovulation, more recent research shows a significant variation in cycle length and ovulation time. Previous studies have focused only on cycle length, often excluding cycles outside the 25-35-day range, thus limiting the understanding of natural variation; they have also lacked precise ovulation diagnostics or included small sample sizes, making it difficult to capture the full scope of cycle and ovulation variability. Similarly, a recent big data study, while valuable, was limited by a self-selected group and the absence of accurate ovulation diagnostics, reducing its generalizability. STUDY DESIGN, SIZE, This study was designed as a prospective long-term observational study, which involved collecting data from 1923 women with a total of 43 999 menstrual cycles from January 1985 to July 2019. After fulfilling the inclusion criteria, the main group consisted of 1051 women, all of whom contributed data for 12 cycles (12 612 cycles), including 420 conception cycles. PARTICIPANTS/MATERIALS, SETTING, Participants in the study were between 18 and 44 years of age at study entry and did not take any reproductive hormones. Women who were postpartum, breastfeeding, amenorrheic, or within a 3-month period after stopping hormonal contraception were excluded. Participants agreed to keep cycle records according to the symptothermal method, 'Sensiplan'. Ovulation time was determined using an evidence-based algorithm based on evaluating cervical mucus patterns and basal body temperature shifts, with ovulation time defined as the day before the temperature rise. Data analysis was descriptive, using absolute and relative frequencies, standard deviation, percentiles, and ranges. Age dependency was assessed using unpaired sample t-tests and one-way ANOVA. Linear regression was used to assess long-term trends. MAIN In 62.4% of women, cycle lengths varied by 1 week or more within 12 cycles. Accordingly, the time of ovulation varied by 1 week or more within 12 cycles in 54.8% of women, with 96.5% experiencing fluctuations of 4 days or more over the 12 months. The median spontaneous cycle length was 28 days, with a mean of 29.66 days (SD = 7.55). Only 52.7% of women consistently had cycle lengths between 23 and 35 days across all 12 cycles. Ovulation occurred most frequently between Days 12 and 16, with almost half of conceptions (45.7%) occurring after Day 16. A one-way analysis of variance revealed a significant reduction in mean cycle length with increasing age (P < 0.001), showing the shortest median cycle length of 27 days being in women aged 40-44 years. Age also impacted ovulation time, with women aged 35-39 years showing more stable ovulation patterns compared to younger women. Over the 34-year study period, average cycle length increased slightly but significantly (β = 0.0161, P = 0.0306), corresponding to approximately half a day. Intra-individual variability also showed a slight, but non-significant, upward trend (β = 0.0262, P = 0.2173). LIMITATIONS, Comorbidities such as hyperprolactinemia, obesity, and PCOS were not systematically excluded. However, by including only women with at least 12 cycles, the study largely avoided severe hormonal disorders. This study highlights the considerable individual variation of ovulation time and cycle length over 12 menstrual cycles. These findings contribute to a better understanding of fertility awareness, and highlight the implications for family planning and reproductive health management. STUDY FUNDING/COMPETING INTEREST(S): The authors declare no conflicts of interest. No funding was provided. N/A.
lifestyle-and-environment/nutrition-and-metabolic-health/dietary-patterns
Open Access
Are dietary patterns associated with age at menarche after accounting for BMI-for-age (BMIz) and height? We observed associations between both the Alternative Healthy Eating Index (AHEI) and the Empirical Dietary Inflammatory Pattern (EDIP) and age at menarche. Dietary patterns have been sparsely examined in relation to age at menarche and no studies have examined the association between the AHEI, a healthier diet, and EDIP, a pro-inflammatory diet, and menarche. STUDY DESIGN, SIZE, The Growing Up Today Study (GUTS) is a prospective cohort of children ages 9-14 years at study enrollment. GUTS enrolled in two waves with enrollment beginning in 1996 (GUTS1) and 2004 (GUTS2). For this analysis, GUTS1 and GUTS2 participants were followed through 2001 and 2008, respectively. PARTICIPANTS/MATERIALS, SETTING, We included 7530 participants who completed food frequency questionnaire(s) (FFQ) prior to menarche who then self-reported age at menarche during study follow-up. Cox proportional hazard models were used to calculate multivariable hazard ratios (HRs) and 95% CIs for the associations between two dietary patterns, the AHEI and EDIP, and age at menarche, with and without adjustment for time-varying BMIz and height. MAIN Six thousand nine hundred ninety-two participants (93%) reported menarche during the study period. On average, participants completed the baseline FFQ 1.75 years prior to menarche. Participants in the highest quintile of AHEI diet score (indicating a healthier diet) were 8% less likely to attain menarche within the next month compared to those in the lowest quintile (95% CI = 0.85-0.99; Ptrend = 0.03). This association remained after adjustment for BMIz and height (corresponding HR = 0.93; 95% CI = 0.86-1.00; Ptrend = 0.04). Participants in the highest quintile of the EDIP score (i.e. most inflammatory diet), were 15% more likely to attain menarche in the next month relative to those in the lowest quintile (95% CI = 1.06-1.25; Ptrend = 0.0004), and the association remained following adjustment for BMIz and height (corresponding HR = 1.15; 95% CI = 1.06-1.25; Ptrend = 0.0004). LIMITATIONS, Self-reported questionnaires are subject to some error; however, given our prospective study design it is likely this error is non-differential with respect to the outcome. Our findings of an association between both the AHEI and EDIP and age at menarche indicate that diet quality may play a role in age at menarche independent of BMI or height. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the Breast Cancer Research Foundation. The GUTS is supported by the National Institutes of Health U01 HL145386. C.P.D. was supported by National Institutes of Health T32 CA094880. The authors have no conflicts of interest to disclose. N/A.
longevity/reproductive-aging/ovarian-agingperimenopause-menopause/early-and-premature-transition/surgical-and-medical-menopause
Open Access
What is the association between endometriosis and the type and age of menopause? Women with endometriosis had a 7-fold increased risk of undergoing surgical menopause rather than natural menopause and were more likely to experience premature or early menopause, both surgically and naturally. Endometriosis is associated with reduced ovarian reserve, but evidence on its relationship with the type of menopause (surgical vs natural) and timing (especially premature and early menopause) is limited. Women with endometriosis are more likely to undergo hysterectomy and/or oophorectomy (either unilateral or bilateral), but the average age of these surgeries remains unclear. STUDY DESIGN, SIZE, The study analysed individual-level data from 279 948 women in five cohort studies conducted in the UK, Australia, Sweden, and Japan between 1996 and 2022. PARTICIPANTS/MATERIALS, SETTING, Women whose menopause type and age could not be determined due to premenopausal hysterectomy with ovarian preservation or use of menopausal hormone therapy were excluded. Endometriosis was identified through self-reports and administrative data. Surgical menopause was defined as premenopausal bilateral oophorectomy. Fine-Gray subdistribution hazard models estimated hazard ratios (HRs) for surgical and natural menopause. Age at menopause was determined by the ages at the final menstrual period or bilateral oophorectomy. Linear regression assessed mean differences in menopause age, while multinomial logistic regression estimated odds ratios (ORs) for categorical menopause age: <40 (premature), 40-44 (early), 45-49, 50-51 (reference), 52-54, and ≥55 years. Spontaneous premature ovarian insufficiency (POI) was defined as natural menopause before age 40 years. MAIN Endometriosis was identified in 3.7% of women. By the end of follow-up, 7.9% had surgical menopause and 58.2% experienced natural menopause. Using a competing risk model, women with endometriosis had a 7-fold increased risk of surgical menopause (HR: 7.54, 95% CI 6.84, 8.32) and were less likely to experience natural menopause (HR: 0.40, 95% CI 0.33, 0.49). On average, surgical menopause occurred 1.6 years (19 months) earlier (β: -1.59, 95% CI -1.77, -1.42) in women with endometriosis. Among women who experienced natural menopause, it was 0.4 years (5 months) earlier (β: -0.37, 95% CI -0.46, -0.28) for those with endometriosis. Women with endometriosis were twice as likely to experience premature surgical menopause (<40 years) (OR: 2.11, 95% CI 2.02, 2.20) or 1.4 times more likely to develop spontaneous POI (OR: 1.36, 95% CI 1.17, 1.59). They were also at increased odds of early surgical and natural menopause (40-44 years). LIMITATIONS, This study could not differentiate between subtypes and stages of endometriosis or assess treatments for ovarian endometrioma, which may impact ovarian reserve. Self-reported menopause type and age could introduce recall bias. Given the consistent findings across individual studies, our results are likely to be generalizable to different populations, highlighting the need for tailored management of endometriosis to prevent medically induced or premature menopause. Long-term monitoring of women with endometriosis is recommended, given their elevated risk of surgical menopause and premature or early menopause, which are associated with adverse health outcomes in later life. STUDY FUNDING/COMPETING INTEREST(S): The InterLACE Consortium is funded by the Australian National Health and Medical Research Council project grant (APP1027196) and Centres of Research Excellence (APP1153420). G.D.M. is funded by the Australian National Health and Medical Research Council Leadership Fellowship (APP2009577). This research is funded in part by the Japan Society for the Promotion of Science (JSPS 19KK0235, 23KK0167). The authors have no conflict of interest. Where authors are identified as personnel of the International Agency for Research on Cancer or WHO, the authors alone are responsible for the views expressed in this article, and they do not necessarily represent the decisions, policy, or views of the International Agency for Research on Cancer or WHO. N/A.