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We examined relationships between prenatal dietary patterns and child autism-related outcomes, including parent-reported clinician diagnoses of autism spectrum disorder (ASD) and Social Responsiveness Scale (SRS-2) scores, in up to 6084 participants (with analytic samples ranging from 1671 to 4128 participants) from 14 cohorts in the Environmental Influences on Child Health Outcomes (ECHO) consortium. Associations between quartiles of the Healthy Eating Index (HEI-2015), the Alternative Healthy Eating Index modified for Pregnancy (AHEI-P), and the Empirical Dietary Inflammatory Pattern (EDIP), calculated based on reported prenatal diet, and outcomes were examined using crude and multivariable regression (quantile for SRS scores and logistic for diagnosis). In adjusted models, the higher quartile of prenatal HEI score was associated with lower SRS scores (Q4 vs. Q1 β for median quantile = -3.41 95% CI = -5.15, -1.26). A similar association was observed for the AHEI-P score when adjusting for total calories (Q4 vs. Q1 β = -2.52 95% -4.59, -0.45). There were no significant associations of prenatal diet with ASD diagnosis. Findings from this large U.S.-based study do not suggest strong associations between prenatal dietary patterns and ASD-related outcomes, although subtle associations with broader traits suggest the need to further consider how prenatal diet may relate to ASD-related phenotypes.
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http://dx.doi.org/10.3390/nu16223802 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Food Science and Technology, Kaunas University of Technology, Kaunas, Lithuania.
Background: Fermented foods vary significantly by food substrate and regional consumption patterns. Although they are consumed worldwide, their intake and potential health benefits remain understudied. Europe, in particular, lacks specific consumption recommendations for most fermented foods.
View Article and Find Full Text PDFNutr Health
September 2025
Department of Nursing, Faculty of Health Sciences, John Paul II University in Biała Podlaska, Biala Podlaska, Poland.
Healthy plant-based diets, such as vegan and vegetarian diets, as well as planetary health diets, meet the recommendations of sustainable dietary patterns and are healthier for both the planet and humans. The adoption of these dietary patterns may depend on socio-demographic factors and individual motivations. This study aimed to analyse the association between socio-demographic factors and knowledge and attitudes towards vegan and vegetarian diets amongst university students.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFCurr Obes Rep
September 2025
Department of Medicine, Division of Endocrinology, University of Arizona, Tucson, AZ, USA.
Purpose Of The Review: This review aimed to summarize current evidence on the effectiveness of medical nutrition therapy (MNT) in the management of obesity and endometriosis, with a focus on dietary patterns such as the Mediterranean and Ketogenic diets, as well as nutritional supplementation. Additionally, it highlights the central role of the clinical nutritionist in implementing individualized, evidence-based interventions within multidisciplinary care.
Recent Findings: Although the literature reports the existence of an inverse relationship between risk of endometriosis and body mass index, clinical evidence jointly reports that a condition of obesity is associated with greater disease severity.
Food Nutr Bull
September 2025
Tajik Academy of Agricultural Sciences, Dushanbe, Tajikistan.
BackgroundDespite a growing interest in household-level agriculture-nutrition linkage, evidence remains thin in countries like Tajikistan, one of the poorest former socialist countries where food crop production decisions by individual farm households had been significantly regulated by the government until recently.ObjectivesWe narrow this knowledge gap by examining the linkages between households' food production practice as well as their productivity performances and dietary diversity scores (DDS) of both the household and individual women in Tajikistan.MethodsWe use a panel sample of households and individual women of reproductive ages in the Khatlon province of Tajikistan, the poorest province and a major agricultural region of the country.
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