Background: While consuming a Mediterranean-style diet (MSD) among pregnant women is expected to affect offspring neurodevelopment, the current evidence is limited. This prospective birth cohort study aimed to explore the association of maternal MSD with neurodevelopmental disabilities (NDD) in offspring, especially among children born to mothers with overweight or obesity (OWO) and/or diabetes mellitus (DM) since they have a higher risk for oxidative stress and immune/metabolic disturbances.
Methods: We analyzed data from a subgroup of mother-child dyads enrolled in the Boston Birth Cohort. Maternal dietary information ( food frequency questionnaires, Food frequency questionnaires [FFQ]) and sociodemographic information were obtained in-person interviews within 24 to 72 hours postpartum. Maternal clinical information and child diagnosis of NDD including autism, attention-deficit/hyperactivity disorder (ADHD), and other developmental disabilities (DD) were extracted from medical records. A Mediterranean-style diet score (MSDS) was calculated using the FFQ. The association of maternal MSDS with NDD, autism, ADHD, and other DD was evaluated using multivariable logistic regression models adjusted for pertinent covariates.
Results: This study included 3153 mother-child pairs, from which we identified diagnoses of 1362 (43.2%) NDD, including 123 (3.9%) case of autism, 445 (14.1%) ADHD, and 794 (25.2%) other DD. In the overall sample, women with a higher maternal MSDS (per standard deviation increase) were less likely to have offspring with NDD (adjusted odds ratio [OR]: 0.904, 95% confidence interval [CI]: 0.817-1.000; value: 0.049). Using MSDS quintile 1 as the reference, being in the combined group of quintiles 3-5 was associated with a 26% lower likelihood of NDD (adjusted OR: 0.738, 95% CI: 0.572-0.951; value: 0.019). When stratified by mothers with OWO/DM without OWO/DM, the association between maternal MSDS and offspring NDD was greater in children born to mothers with OWO/DM.
Conclusions: In this prospective birth cohort, a higher maternal MSDS was associated with a lower likelihood of NDD in the offspring. Furthermore, this association of maternal MSDS with offspring NDD was greater in children born to women with OWO/DM. More studies are needed to replicate the findings and further analyze NDD subgroups and explore underlying molecular pathways.
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http://dx.doi.org/10.1097/PN9.0000000000000047 | DOI Listing |
J Int AIDS Soc
October 2024
Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
BJOG
December 2024
UK Health Security Agency, London, UK.
Objective: Assessment of COVID-19 vaccine safety in pregnancy using population-based data.
Design: Matched case-control study nested in a retrospective cohort.
Setting: April 2021-March 2022, England.
J Migr Health
July 2024
Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ, UK.
Background: Perinatal outcomes are poor among migrant women in vulnerable situations, but little is known about their health preconception. We investigated preconception health inequalities between migrant women in vulnerable situations and non-migrant women.
Methods: This national cross-sectional study used data from the NHS Maternity Services Data Set (MSDS) version 1.
J Nutr
March 2024
Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. Electronic address:
Heliyon
September 2023
Department of Occupational Health Engineering and Safety at Work, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
Introduction: As an important occupational group in the healthcare system, midwives face various ergonomic risk factors such as musculoskeletal disorders (MSDs) risks. Moreover, an accurate job evaluation can help to design appropriate ergonomic interventions and more accurately estimate the probability of developing MSDs. Therefore, the present study aimed to investigate musculoskeletal discomforts and biomechanical stresses using the Three-Dimensional Static Strength Prediction Program (3DSSPP Ver.
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