The Role of Autosuggestion in Hypertension Management and Quality of Life Improvement Among Elderly: A Bibliometric Analysis and Emerging Trends

Abstract

Hypertension is a significant health concern, particularly among the elderly. It often results in a reduced quality of life and an increased risk of other health conditions. While pharmaceutical treatments are commonly used, non-pharmacological approaches such as autosuggestion are showing promise as alternative treatments. This study presents a thorough bibliometric analysis of research trends related to using autosuggestion to treat hypertension and enhance the quality of life for the elderly. Data was gathered from Scopus' primary academic database covering 1969 to 2024. Four thousand seven hundred relevant publications were analyzed using VOSviewer and Biblioshiny to map research networks, identify keyword emergence, and examine citation trends. The findings indicate a growing number of studies, particularly in the last five years, with significant contributions from the United States, the United Kingdom, and Germany. The thematic analysis underscores the potential of autosuggestion in managing the blood pressure of the elderly through stress management and improving emotional well-being, which contributes to better hypertension control. However, there are research gaps, particularly in the clinical application and integration of autosuggestion with conventional therapies. This study identifies emerging trends and provides insights for future research, particularly in exploring the long-term impact of autosuggestion on elderly health outcomes. These findings offer a valuable contribution to the development of non-pharmacological interventions for hypertension management and suggest promising directions for future studies.