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Objective <p>This study investigated the potential role of sleep quality to predict cardiac autonomic dysfunction (CAD) in individuals with obesity-related hypertension.</p> Methods <p>Sixty-three individuals with obesity-related hypertension were evaluated using a range of assessments, such as cardiac autonomic reflex tests, heart rate variability, cardio-metabolic risk&#xa0;factors, body composition analysis and sleep quality measurements. A range of statistical tests were utilized, including correlation analyses, univariate and multivariate logistic regression and variance inflation factors (VIF) to analyze correlation, predictive ability and multicollinearity respectively.</p> Results <p>Correlation analyses revealed significant correlation between several sleep&#xa0;quality&#xa0;parameters and cardiac autonomic markers (<i>p</i> &lt; 0.05). Univariate logistic regression depicted four sleep quality&#xa0;parameters as significant predictors of CAD (<i>p</i> &lt; 0.05). Furthermore, multivariate logistic regression models, suggested that sleep latency, sleep disturbance and Pittsburgh sleep quality index (PSQI) global score can predict CAD even after adjustments with covariates. VIF analysis revealed that the covariate model is not affected by the multicollinearity impact (VIF values &lt; 3).</p> Conclusions <p>The present study underscores the link between cardiac autonomic markers and sleep quality&#xa0;parameters in this population, suggesting that sleep quality can predict the development of CAD. It also emphasizes the need to consider covariates when investigating the relationship between sleep quality&#xa0;and CAD in individuals with obesity-related hypertension.</p>

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Sleep Quality is a Significant Predictor of Cardiac Autonomic Dysfunction in Obesity-Related Hypertension

  • 期刊论文

  • 发表日期：

    2025年12月26日

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  • Aqsa Mujaddadi,
  • Sumbul Ansari,
  • Majumi M. Noohu,
  • Saima Zaki,
  • Irshad Husain Naqvi,
  • Zubia Veqar

摘要

Objective

This study investigated the potential role of sleep quality to predict cardiac autonomic dysfunction (CAD) in individuals with obesity-related hypertension.

Methods

Sixty-three individuals with obesity-related hypertension were evaluated using a range of assessments, such as cardiac autonomic reflex tests, heart rate variability, cardio-metabolic risk factors, body composition analysis and sleep quality measurements. A range of statistical tests were utilized, including correlation analyses, univariate and multivariate logistic regression and variance inflation factors (VIF) to analyze correlation, predictive ability and multicollinearity respectively.

Results

Correlation analyses revealed significant correlation between several sleep quality parameters and cardiac autonomic markers (p < 0.05). Univariate logistic regression depicted four sleep quality parameters as significant predictors of CAD (p < 0.05). Furthermore, multivariate logistic regression models, suggested that sleep latency, sleep disturbance and Pittsburgh sleep quality index (PSQI) global score can predict CAD even after adjustments with covariates. VIF analysis revealed that the covariate model is not affected by the multicollinearity impact (VIF values < 3).

Conclusions

The present study underscores the link between cardiac autonomic markers and sleep quality parameters in this population, suggesting that sleep quality can predict the development of CAD. It also emphasizes the need to consider covariates when investigating the relationship between sleep quality and CAD in individuals with obesity-related hypertension.