Nutrition Pattern and Adverse Pregnancy Outcomes in Nulliparous Individuals: A Cluster Analysis

This study aimed to develop a k-means clustering algorithm to identify distinct food intake patterns through cluster analysis.This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b), including nulliparous individuals with singleton pregnancies. Dietary intake data from the 3 months preceding pregnancy were collected using a validated questionnaire. The primary outcome was a composite measure including preterm birth, stillbirth, preeclampsia, eclampsia, gestational diabetes, and small for gestational age. Clusters were formed using a k-means clustering algorithm with Euclidean distance, based on 335 dietary variables. The association between dietary clusters and adverse pregnancy outcomes (APOs) was assessed. Relative risks with 95% confidence intervals (95% CIs) were calculated using modified Poisson regression, adjusting for predefined confounders. A random forest model was also employed to identify features predictive of cluster allocation.The analysis included 7,599 participants, distributed across three clusters: Cluster 1 (<i>n</i> = 4,243, 55.8%), Cluster 2 (<i>n</i> = 2,768, 36.4%), and Cluster 3 (<i>n</i> = 588, 7.7%). Cluster 2, which serves as the referent cluster, is characterized by a higher intake of vitamin E as α-tocopherol, vitamin A retinol activity equivalents, vegetables, and fruits, aligning most closely with a healthy diet pattern. Compared with Cluster 2, Cluster 1, characterized by a lower intake of the same nutrients, did not show a significant association with increased odds of APOs (22.7 vs. 25.4%; adjusted relative risk [aRR], 1.07 [95% CI: 0.98-1.18]). In contrast, Cluster 3, characterized by higher intake of trans fats, dietary polyunsaturated fatty acids 20:4, red meat, and sugary beverages, was significantly associated with APOs compared with Cluster 2 (31.0 vs. 22.7%; aRR, 1.19 [95% CI: 1.01-1.39]).A dietary pattern characterized by a high intake of trans fats, polyunsaturated fatty acids, red meat, and sugary beverages is significantly associated with an increased risk of APOs. · Diets high in trans fats, polyunsaturated fatty acids, red meat, and sugary beverages are associated with increased APOs.. · Diets rich in vitamin E, vitamin A, vegetables, and green salads are linked to a lower risk of these outcomes.. · This study underscores the significant role of nutrition in influencing APOs..

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Publication Details

Journal
American Journal of Perinatology
Published
2025-09-29
DOI
https://doi.org/10.1055/a-2712-5518
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Nutrition Pattern and Adverse Pregnancy Outcomes in Nulliparous Individuals: A Cluster Analysis

Kazuma Onishi, Yara Hage Diab, Tetsuya Kawakita, George R. Saade
American Journal of Perinatology
Gestational Diabetes Research and Management
article

Nutrition Pattern and Adverse Pregnancy Outcomes in Nulliparous Individuals: A Cluster Analysis

Kazuma Onishi, Yara Hage Diab, Tetsuya Kawakita, George R. Saade
article en

Abstract

This study aimed to develop a k-means clustering algorithm to identify distinct food intake patterns through cluster analysis.This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b), including nulliparous individuals with singleton pregnancies. Dietary intake data from the 3 months preceding pregnancy were collected using a validated questionnaire. The primary outcome was a composite measure including preterm birth, stillbirth, preeclampsia, eclampsia, gestational diabetes, and small for gestational age. Clusters were formed using a k-means clustering algorithm with Euclidean distance, based on 335 dietary variables. The association between dietary clusters and adverse pregnancy outcomes (APOs) was assessed. Relative risks with 95% confidence intervals (95% CIs) were calculated using modified Poisson regression, adjusting for predefined confounders. A random forest model was also employed to identify features predictive of cluster allocation.The analysis included 7,599 participants, distributed across three clusters: Cluster 1 (<i>n</i> = 4,243, 55.8%), Cluster 2 (<i>n</i> = 2,768, 36.4%), and Cluster 3 (<i>n</i> = 588, 7.7%). Cluster 2, which serves as the referent cluster, is characterized by a higher intake of vitamin E as α-tocopherol, vitamin A retinol activity equivalents, vegetables, and fruits, aligning most closely with a healthy diet pattern. Compared with Cluster 2, Cluster 1, characterized by a lower intake of the same nutrients, did not show a significant association with increased odds of APOs (22.7 vs. 25.4%; adjusted relative risk [aRR], 1.07 [95% CI: 0.98-1.18]). In contrast, Cluster 3, characterized by higher intake of trans fats, dietary polyunsaturated fatty acids 20:4, red meat, and sugary beverages, was significantly associated with APOs compared with Cluster 2 (31.0 vs. 22.7%; aRR, 1.19 [95% CI: 1.01-1.39]).A dietary pattern characterized by a high intake of trans fats, polyunsaturated fatty acids, red meat, and sugary beverages is significantly associated with an increased risk of APOs. · Diets high in trans fats, polyunsaturated fatty acids, red meat, and sugary beverages are associated with increased APOs.. · Diets rich in vitamin E, vitamin A, vegetables, and green salads are linked to a lower risk of these outcomes.. · This study underscores the significant role of nutrition in influencing APOs..

American Journal of Perinatology
Old Dominion University (US)
Openalex Percentile: Top 66%
Gestational Diabetes Research and Management
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