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Updated: May 28, 2026

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level
Published on: January 19, 2024
Associations of Dietary Patterns and Dietary Index with Iron Deficiency Across Different Stages Among Children Aged
Jie Huang1,2, Jinhan Fu3, Bingyu Liuzhang1,4
1Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou 510440, China.
Abstract:
Background: Iron deficiency (ID) progresses through three stages: iron deficiency stores (IDS), iron deficiency erythropoiesis (IDE), and iron deficiency anemia (IDA). Neglecting subclinical ID may be harmful to school-aged children and increase the public health burden. Although diet is a key modifiable factor, most studies only focus on overall ID or merely the clinical IDA stage. This study combines a dietary index with pattern analysis to take advantage of their complementary strengths and explore their associations with ID progression. Methods: This cross-sectional study included 2493 participants from rural Guangzhou between June 2022 and May 2023. Demographic, lifestyle, anthropometric, and dietary data were collected via structured questionnaires. Blood samples were analyzed for iron status. Factor analysis identified dietary patterns, and the Chinese Dietary Guidelines Index for Children and Adolescents [CDGI(2021)-C] assessed dietary quality. We used ordinal logistic regression, multivariable logistic regression, and restricted cubic spline (RCS) models to examine dietary associations with ID stages. Results: IDS, IDE, and IDA proportions were 68.22%, 17.45%, and 14.33%, respectively. All four dietary patterns correlated positively with CDGI(2021)-C, most strongly for the fruit-vegetable (rs = 0.552) and cereal-tuber-legume patterns (rs = 0.386). Higher CDGI(2021)-C (OR = 0.852, 95% CI: 0.751-0.966, p-trend = 0.012), fruit-vegetable (OR = 0.866, 95%CI: 0.748-0.993, p-trend = 0.047), and meat-offal patterns (OR = 0.733, 95%CI: 0.611-0.868, p-trend < 0.001) were inversely associated with advancing ID stages, while the snack-fast food pattern was positively associated (OR = 1.233, 95% CI: 1.094-1.381, p-trend < 0.001). In IDS, higher adherence to CDGI(2021)-C, fruit-vegetable, and meat-offal patterns was associated with lower odds (all p-trend < 0.05). RCS showed nonlinear associations for the snack-fast food and cereal-tuber-legume patterns, with risk peaking at moderate-to-high adherence to these patterns (both p-nonlinear < 0.05). In IDE and IDA, the snack-fast food pattern risk rose steeply at moderate-to-high adherence (p-nonlinear = 0.036), whereas the cereal-tuber-legume pattern's ORs fluctuated near 1 (p-nonlinear = 0.020). Conclusions: Dietary pattern and index analyses showed consistent associations across ID stages. Adherence to dietary guidelines slows ID progression, especially in early subclinical stages. More fruits, vegetables, and heme-iron-rich foods, alongside less fast food and snacks, slow ID progression. Though dietary intervention effects weaken in later stages, reducing fast food and snacks confers long-term benefits. These findings inform targeted nutrition policies to prevent ID progression in children.
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