ArticleThe American journal of clinical nutrition2023
Interrogating Components of 2 Diet Quality Indices in Pregnancy using a Supervised Statistical Mixtures Approach.
Article in The American journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Dietary guidelines adherence and pregnancy exposure to 10 classes of priority chemicals: an observational study in the Environmental influences on Child Health Outcomes Cohort.The American journal of clinical nutrition · 2026Observational
- From single conventional regression to ensemble modelling: relative importance of the Healthy Eating Index-2015 components in relation to adverse pregnancy outcomes.The British journal of nutrition · 2026Article
- Improvement in Maternal Diet Quality Across Pregnancy Is Associated With Lower Gestational Weight Gain in Women With Obesity From the Illinois Kids Development Study.Journal of the Academy of Nutrition and Dietetics · 2026Article
- Diet, Gut Microbiota, and Histidine Metabolism Toward Imidazole Propionate Production in Relation to Type 2 Diabetes.Diabetes care · 2025Article
- Sociodemographic and dietary predictors of maternal and placental mycoestrogen concentrations in a US pregnancy cohort.Journal of exposure science & environmental epidemiology · 2025Article
- Exploring diet as a source of plasticizers in pregnancy and implications for maternal second-trimester metabolic health.Environmental research · 2024Article
- Associations of per- and polyfluoroalkyl substances with maternal early second trimester sex-steroid hormones.International journal of hygiene and environmental health · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe Healthy Eating Index (HEI)-2015 and Alternative Healthy Eating Index (AHEI)-2010 evaluate diet holistically in pregnancy. However, it remains unclear how individual index components interact to contribute to health.
objectivesTo evaluate associations of HEI-2015 and AHEI-2010 components with gestational length using traditional and novel statistical methods in a prospective cohort.
methodsPregnant women completed a 3-mo food-frequency questionnaire (FFQ) at median 13 wk gestation to calculate the HEI-2015 or AHEI-2010. Covariate-adjusted linear regression models evaluated associations of HEI-2015 and AHEI-2010 total scores and individual components (one at a time and simultaneously adjusted) with gestational length. Covariate-adjusted weighted quantile sum regression models evaluated 1) associations of HEI-2015 or AHEI-2010 components as mixtures with gestational length and 2) contributions of components to these associations.
resultsEach 10-point increase in HEI-2015 and AHEI-2010 total score was associated with 0.11 (95% CI: -0.05, 0.27) and 0.14 (95% CI: 0.00, 0.28) wk longer gestation, respectively. In individual or simultaneously adjusted HEI-2015 models, higher intakes of seafood/plant proteins, total protein foods, greens/beans, and saturated fats but lower intakes of added sugars and refined grains were associated with longer gestational length. For the AHEI-2010, higher intake of nuts/legumes and lower intake of sugar-sweetened beverages (SSBs)/fruit juice were associated with longer gestational length. Jointly, 10% increases in HEI-2015 or AHEI-2010 mixtures were associated with 0.17 (95% CI: 0.001, 0.34) and 0.18 (95% CI: 0.05, 0.30) wk longer gestational length, respectively. Seafood/plant protein, total protein foods, dairy, greens/beans, and added sugars were the largest contributors to the HEI-2015 mixture. Nuts/legumes, SSBs/fruit juice, sodium, and DHA/EPA were the largest contributors to the AHEI-2010 mixture. Associations were less precise but consistent in women with spontaneous labors.
conclusionsCompared to traditional methods, associations of diet index mixtures with gestational length were more robust and identified unique contributors. Additional studies could consider interrogating these statistical approaches using other dietary indices and health outcomes.
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