Symptom burden mediates the link between self-reported interoceptive accuracy and self-care in chronic heart failure: a CSM-based cross-sectional study

Effective chronic heart failure (CHF) management critically depends on patients’ self-care (maintenance, symptom perception and management).1 Successful self-care begins with the perceived ability to accurately perceive internal bodily signals; when assessed by self-report, this construct is referred to as self-reported interoceptive accuracy (i.e. perceived interoceptive accuracy).2 Guided by the Common-Sense Model of Self-Regulation (CSM),3 self-reported interoceptive accuracy helps transform raw somatic signals into symptom representations, while cumulative distress constitutes symptom burden that guides self-care actions. Although impaired interoception may amplify negative symptom appraisals, direct mediation testing of symptom burden in the self-reported interoceptive accuracy-self-care link remains lacking in CHF. Therefore, this study used the Interoceptive Accuracy Scale (IAS), a self-report instrument measuring perceived interoceptive accuracy, and tested whether symptom burden mediates the relationship between self-reported interoceptive accuracy and self-care dimensions. This cross-sectional study enrolled 353 CHF patients from the Department of Cardiology, First Affiliated Hospital of Soochow University (February–October 2025; Ethics Approval No. 2025-592). Inclusion: age ≥ 18 years, CHF diagnosis per guidelines,4 NYHA class II-IV, and informed consent. The investigation conforms with the principles outlined in the Declaration of Helsinki. Sample size was estimated via Monte Carlo simulation for SEM (power = 0.80, α = 0.05), indicating a minimum required sample of 262; our final sample exceeded this.

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Publication Details

Journal
European Journal of Cardiovascular Nursing
Published
2026-11-05
DOI
https://doi.org/10.1093/eurjcn/zvag244
Primary Topic
Heart Failure Treatment and Management
Type
article
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article

Symptom burden mediates the link between self-reported interoceptive accuracy and self-care in chronic heart failure: a CSM-based cross-sectional study

Lifen Mao, Rulan Yin, Yingnan Zhao, Xiaoqing Shi et al.
European Journal of Cardiovascular Nursing
Heart Failure Treatment and Management
article

Symptom burden mediates the link between self-reported interoceptive accuracy and self-care in chronic heart failure: a CSM-based cross-sectional study

Lifen Mao, Rulan Yin, Yingnan Zhao, Xiaoqing Shi, Lei He, Junhui Li, Shulin Zhang, Xiangyu Wang
article en

Abstract

Effective chronic heart failure (CHF) management critically depends on patients’ self-care (maintenance, symptom perception and management).1 Successful self-care begins with the perceived ability to accurately perceive internal bodily signals; when assessed by self-report, this construct is referred to as self-reported interoceptive accuracy (i.e. perceived interoceptive accuracy).2 Guided by the Common-Sense Model of Self-Regulation (CSM),3 self-reported interoceptive accuracy helps transform raw somatic signals into symptom representations, while cumulative distress constitutes symptom burden that guides self-care actions. Although impaired interoception may amplify negative symptom appraisals, direct mediation testing of symptom burden in the self-reported interoceptive accuracy-self-care link remains lacking in CHF. Therefore, this study used the Interoceptive Accuracy Scale (IAS), a self-report instrument measuring perceived interoceptive accuracy, and tested whether symptom burden mediates the relationship between self-reported interoceptive accuracy and self-care dimensions. This cross-sectional study enrolled 353 CHF patients from the Department of Cardiology, First Affiliated Hospital of Soochow University (February–October 2025; Ethics Approval No. 2025-592). Inclusion: age ≥ 18 years, CHF diagnosis per guidelines,4 NYHA class II-IV, and informed consent. The investigation conforms with the principles outlined in the Declaration of Helsinki. Sample size was estimated via Monte Carlo simulation for SEM (power = 0.80, α = 0.05), indicating a minimum required sample of 262; our final sample exceeded this.

European Journal of Cardiovascular Nursing
Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
Openalex Percentile: Top 12%
Heart Failure Treatment and Management
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