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Integrating factors associated with hypertensive patients' self-management using structural equation modeling: a

Weiwei Ding1, Tong Li1, Qiying Su2

  • 1Department of Epidemiology and Health Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China, linaihua@mail.sysu.edu.cn.

Insights

Hypertension self-management is complex, with younger patients and those with less knowledge needing more support. Enhancing self-efficacy and social support are key for better hypertension control.

Area of Science:

  • Public Health
  • Cardiovascular Disease Research
  • Health Psychology

Background:

  • Hypertension is a global public health concern linked to cardiovascular disease (CVD).
  • Effective chronic disease self-management strategies are crucial but their influencing factors require clarification.
  • Community-based hypertension management needs a theoretical framework.

Purpose of the Study:

  • To integrate factors influencing hypertension self-management.
  • To provide a theoretical basis for community hypertension management programs.
  • To identify key determinants of successful self-management in hypertensive patients.

Main Methods:

  • Cross-sectional study of 268 community-dwelling hypertensive patients.
  • Data collected via questionnaires on demographics, disease characteristics, knowledge, social support, self-efficacy, and self-management.
  • Structural equation modeling used to analyze relationships based on self-efficacy theory.

Main Results:

  • Lower self-efficacy and hypertension self-management were associated with younger age, lower CVD risk, shorter disease duration, less disease knowledge, and reduced social support.
  • Social support was inversely related to age, CVD risk, and disease duration, and positively correlated with disease knowledge.
  • Hypertension control was less likely with lower self-efficacy and self-management.

Conclusions:

  • Medication adherence, a key self-management dimension, requires improvement.
  • Self-efficacy is a critical target for intervention development.
  • Interventions incorporating technology, education, and mutual-help groups show promise.
  • Vulnerable populations, including younger patients with shorter disease duration, need targeted support.
Abstract

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