Dietary Responses to Non-Communicable Chronic Disease Diagnoses-A Scoping Review
Abstract
Background: Non-communicable chronic diseases (NCDs) have become a significant health burden, and diet plays a critical role in NCD prevention and management.
Methods: This review systematically synthesizes evidence (up to June 30, 2025) on dietary changes among patients following the diagnoses of NCDs, including cancer, diabetes, chronic inflammatory diseases, hypertension, and other NCDs. A comprehensive literature search based on PubMed, Web of Science, Google Scholar, and ScienceDirect identified 38 studies that met the inclusion criteria.
Results: Among the studies included in this review, those on cancer diagnoses account for the largest proportion (45%), followed by studies on the diagnoses of diabetes and hypertension. The United States has the largest number of studies, primarily on cancer and diabetes diagnoses, followed by China, predominantly on hypertension diagnoses. The remaining studies were conducted sparsely in European and Asia-Pacific countries. While approximately 60% of the studies reported desirable dietary responses following NCD diagnoses, significant heterogeneity across regions and specific types of NCDs were also discovered: (1) cancer-related studies yielded mixed results: most discovered desirable dietary changes, while some observed undesirable adjustments; (2) diabetes patients prioritized reductions in carbohydrates, but recently regression-discontinuity designs have shown little impact of diabetes diagnoses; (3) hypertension patients…
Read the paper
Related studies
- A Coupled SYSTEM of Intracellular Ca 2+ Clocks and Surface Membrane Voltage Clocks Controls the Timekeeping Mechanism of the Heart’s Pacemaker
- A Comprehensive Review on the Therapeutic Potential of Curcuma longa Linn. in Relation to its Major Active Constituent Curcumin
- Cancer epigenetics: Moving forward
- Current developments in LC-MS for pharmaceutical analysis
- Myricetin: A comprehensive review on its biological potentials
- A Computational Systems Biology Software Platform for Multiscale Modeling and Simulation: Integrating Whole-Body Physiology, Disease Biology, and Molecular Reaction Networks
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.