ArticleAmerican journal of translational research2025
Factors influencing dietary compliance among patients with gestational diabetes mellitus: a retrospective analysis.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Development of a Brazilian Portuguese instrument to assess knowledge, attitudes, and practices of pregnant women with diabetes at a Brazilian center.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2026Article
- Linking Personality Traits to Mediterranean Diet Adherence and Exploring Gene-Diet Interactions in Neuroticism.Nutrients · 2025Article
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Authors and funding
4 authors.
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Abstract
objectiveGestational diabetes mellitus (GDM) poses significant health risks during pregnancy, with dietary adherence being crucial for effective management. This study aims to identify factors influencing dietary compliance to enhance patient outcome.
methodsThis retrospective cohort study analyzed 189 GDM patients from Wuhan Children's Hospital between January 2021 and June 2023. The patients were categorized into good and poor dietary adherence groups using the Perceived Dietary Adherence Questionnaire. Variables such as demographic data, disease duration, educational attainment, income, employment status, obstetric history, and dietary sources, were collected. Knowledge levels were evaluated using the Gestational Diabetes Mellitus Knowledge Questionnaire (GDMKQ), and social support was assessed by the Medical Outcomes Study Social Support Survey.
resultsA multifactorial logistic regression model was developed to predict poor dietary compliance, and the risk factors included lower educational attainment (Coefficient: 1.249; Odds Ratio (OR): 3.487), lower income (Coefficient: 2.282; OR: 3.602), and takeout breakfasts (Coefficient: 0.838; OR: 2.311). Improved GDM knowledge (Coefficient: -0.344; OR: 0.709) and social support levels (Coefficient: -0.072; OR: 0.931), unemployment (Coefficient: -0.935; OR: 0.392), and obstetric history (Coefficient: -0.980; OR: 0.375) were protective factors against poor compliance. The multifactorial logistic regression model was formulated as follows:
conclusionThe study identified key demographic, behavioral, and social determinants affecting dietary compliance in GDM patients. Critical factors include education levels, household income, employment, breakfast source, GDM knowledge, and social support. These insights can inform interventions to enhance dietary adherence and optimize GDM management strategies in clinical settings. Our multifactorial logistic regression model displays high predictive accuracy and serves as a practical tool for assessing dietary compliance risks, facilitating personalized patient care.
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