Objective: To examine the association between plasma glycemia in women attempting to conceive and fecundability, as measured by time to pregnancy.
Design: Prospective preconception population-based study.
Setting: Hospital.
Patient(s): Asian preconception women, 18-45 years old, attempting conception for ≤12 cycles at study entry.
Intervention(s): None.
Main Outcome Measure(s): We ascertained time to pregnancy within a year of glycemic assessment in menstrual cycles. We estimated fecundability ratios (FRs) and 95% confidence intervals using discrete-time proportional hazards models, adjusting for age, ethnicity, education, body mass index, and cycle regularity and accounting for left truncation and right censoring.
Result(s): We studied a population sample of 766 women from the Singapore Preconception Study of Long-Term Maternal and Child Outcomes prospective cohort. Compared with women with normoglycemia, women with dysglycemia (prediabetes and diabetes, defined by the American Diabetes Association) had a lower FR (0.56). Compared with the respective lowest quintiles, women in the highest quintile of fasting glucose (≥5.1 mmol/L) had an FR of 0.60, while women in the highest 2-hour postload glucose quintile (≥6.9 mmol/L) had an FR of 0.66. Overall, the FRs decreased generally across the range of fasting and 2-hour plasma glucose. Glycated hemoglobin was not associated with fecundability.
Conclusion(s): Increasing preconception plasma glucose is associated with reduced fecundability, even within the normal range of glucose concentrations.
Clinical Trial Registration Number: NCT03531658.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116633 | PMC |
http://dx.doi.org/10.1016/j.fertnstert.2020.07.014 | DOI Listing |
EBioMedicine
January 2025
Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore; Department of Biochemistry and Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. Electronic address:
Background: Apolipoproteins as an integral part of lipoproteins are crucial for the transport and metabolism of lipids. However, there is a lack of longitudinal studies to quantify the concentrations of maternal apolipoproteins from preconception to postpartum and their associations with maternal metabolic health and offspring birth outcomes.
Methods: Quantification of apolipoproteins was performed on maternal plasma samples (N = 243 trios) collected at preconception, 26-28 weeks' pregnancy, and three months postpartum in the Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO) cohort study.
Front Reprod Health
November 2024
Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States.
BMC Med
November 2024
Institute for Human Development and Potential (IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
Nestle Nutr Inst Workshop Ser
November 2024
MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
JMIR Hum Factors
October 2024
The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
Background: Maternal and child health outcomes are positively influenced by early intervention, and digital health (DH) tools provide the potential for a low-cost and scalable solution such as informational platforms or digital tracking tools. Despite the wide availability of DH tools out there for women from before to after pregnancy, user engagement remains low.
Objective: This study aims to explore the factors that shape women's DH adoption and sustained use across the maternal journey from preconception to postbirth, to improve user engagement with DH tools.
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