Sleep disorders among elderly hypertensive patients: associated factors and implications for management - Summary - MDSpire

Sleep disorders among elderly hypertensive patients: associated factors and implications for management

  • By

  • Cheng Hong

  • Jiaying Gu

  • Xiaohua Cheng

  • Xuechun Jiang

  • Yun Wang

  • Lijuan Zhao

  • July 6, 2026

  • 0 min

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Objective:

To clarify the epidemiological characteristics of sleep disorders in elderly hypertensive patients and systematically identify their key associated factors through a cross-sectional survey.

Approach:
  • Study Design: A cross-sectional survey was conducted among elderly hypertensive patients admitted to a hospital from June 2025 to October 2025.
  • Data Collection: Data were collected using a self-designed, psychometrically validated questionnaire.
  • Statistical Analysis: Univariate analysis, correlation analysis, and multivariate logistic regression were used to identify associated factors of sleep disorders.
Key Findings:
  • The prevalence of sleep disorders in the enrolled population was 39.02% (206/528).
  • Univariate and correlation analyses showed significant differences and correlations between sleep disorders and age, body mass index (BMI), education level, family per capita monthly income, hypertension course, hypertension grade, regular exercise, and pre-bedtime electronic device use (all P < 0.05).
  • Multivariate logistic regression analysis revealed that advanced age (≥70 years), prolonged hypertension course (≥10 years), high hypertension grade (grade 2–3), lack of regular exercise, and frequent pre-bedtime electronic device use (≥3 times/week) were independently associated with sleep disorders (all P < 0.001).
Interpretation:

The findings indicate a high prevalence of sleep disorders among elderly hypertensive patients, with specific demographic and lifestyle factors contributing to their occurrence.

Limitations:
  • The study is limited to a single hospital setting, which may affect the generalizability of the findings.
  • The cross-sectional design limits the ability to establish causality between identified factors and sleep disorders.
Conclusion:

Clinical practice should adopt integrated management strategies, including individualized blood pressure control, routine sleep assessment for high-risk groups, targeted lifestyle interventions, and multidisciplinary collaboration.

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