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Effect of a mobile application-based whole-course nutrition management intervention in patients with age-related macular degeneration: a randomized controlled trial

Guo W, Wan J, Zhang F, Wu X, Hong Y, Wang Z, Bian W

Frontiers in public health, 2026

140 participants

Abstract

Aims and objectives: Evaluate the effect of the application (APP)-based AIM-AMD (Assessment, Introduction, Management, and App-based Maintenance Dynamically) nutrition management model in patients with age-related macular degeneration (AMD).

Background: Nutritional intervention are one of the only ways to prevent the development of AMD and slow its progression. However, poor compliance with patient nutritional management leads to ineffective nutritional supplementation outcomes.

Design: A randomised controlled trial was conducted from October 2023-January 2024 and performed according to the CONSORT guidelines.

Methods: A total of 140 participants were randomly assigned to the intervention or control group. The intervention was administered three times per week for a period of 3 months. The intervention group was adopted with APP-based AIM-AMD nutrition management + routine nursing, while the control group was adopted with routine nursing. Comparison was conducted on the effects of different programs on AMD patient nutrient intake, nutrition knowledge, vision-related quality of life, self-efficacy and best-corrected visual acuity (BCVA) at the beginning and at the end of the intervention (Clinical Trials.gov: ChiCTR2200063978).

Results: The results indicated that the intake of energy, zinc, copper, calcium, vitamin C, vitamin E and lutein was significantly higher in the intervention group than in the control group (p p p p p > 0.05).

Conclusion: Our research demonstrates that…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 140 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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