Abstract

Recurrence of gastric ulcers is a significant concern, and non-pharmacological interventions play an important role in their prevention. This systematic review aims to evaluate the effectiveness of nonpharmacological interventions in preventing gastric ulcer recurrence. The aim of this research is Non-Pharmacological Interventions to Prevent Recurrence of Gastric Ulcers: A Systematic Review". The research method in this study was the literature method. The literature method was carried out by means of a comprehensive search carried out in several databases, including PubMed, Medline, Scopus, and the Cochrane Library, using predefined search terms. Studies published from (start date) to (end date) were included. Two independent reviewers screened articles, extracted data, and assessed the quality of included studies using standard tools. The results show that non-pharmacological interventions are quite promising in preventing recurrence of gastric ulcers. Dietary modifications, such as avoiding spicy and acidic foods, and adopting a balanced diet rich in fruits and vegetables, are associated with a reduced risk of relapse. Lifestyle changes, particularly smoking cessation and reducing alcohol consumption, have shown a positive impact on healing ulcers and preventing recurrence. Stress management techniques, such as relaxation exercises and cognitive behavioral therapy, show potential benefits in reducing ulcer recurrence rates. Complementary therapies, such as acupuncture and herbal remedies, have shown mixed results, with some studies showing positive effects in preventing recurrence. Non-pharmacological interventions offer a valuable approach to preventing gastric ulcer recurrence. Dietary modifications, lifestyle changes, stress management techniques, and complementary therapies show promising results in reducing relapse rates. These findings highlight the importance of integrating non-pharmacological interventions into gastric ulcer management and prevention strategies. Further research is needed to validate these findings and explore optimal implementation methods.

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