Key result
Female gender linked to ~14-fold higher odds of insomnia in patients with CHF.
Why the study?
The study was conducted to investigate the current status of insomnia and its influencing factors in patients with chronic heart failure.
Cross-Sectional (n=261)
No
Insomnia is highly prevalent (66.7%) among hospitalized patients with chronic heart failure and is strongly associated with female gender, anxiety, worse NYHA class, chronic pain, and lower socioeconomic status.
Insomnia screening may be warranted in female HF patients; extends prior associations to Chinese cohorts but remains hypothesis-generating.
Objective To investigate the current status of insomnia in patients with chronic heart failure (CHF) and its influencing factors. Methods Cross-sectional study,261 CHF patients who were hospitalized in the cardiovascular department of a tertiary-level hospital in Jiaxing City from December 2023 to August 2024 were included in the cross-sectional study, and were investigated by using a general information questionnaire, the Pittsburgh Sleep Quality Index (PSQI). The influencing factors were analyzed by univariate analysis and logistic regression using SPSS 26.0 software. Results The prevalence of insomnia was 66.7% (174 patients) among 261 CHF patients.Logistic regression analysis showed that gender (OR = 13.566, 95%CI: 3.479∼52.899), mood (OR = 4.616, 95%CI: 1.266∼16.823), NYHA cardiac function classification (OR = 6.514, 95%CI: 2.475∼0.40417.142), chronic pain (OR = 6.334, 95%CI: 1.070∼37.475), per capita monthly household income (OR = 8.078, 95%CI: 2.870∼22.741), socialization range (OR = 4.312, 95%CI: 2.404∼7.732), smoking (OR = 3.673, 95%CI: 1.590∼8.317), number of comorbidities (OR = 3.698, 95%CI: 1.586∼8.622), and healthcare payment method (OR = 2.605, 95%CI: 1.290∼5.259) were the influential factor of insomnia in CHF patients. Conclusion The prevalence of insomnia in CHF patients was high, and gender, mood, NYHA cardiac function class, chronic pain, per capita monthly household income, socialization range, smoking, number of comorbidities, and mode of healthcare payment were the influencing factors. It is important to note that cross-sectional study designs cannot establish causal relationships, but they can identify associated or coexisting risk factors.
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Jin et al. (2026) conducted a cross-sectional in Adults (≥18 years) with chronic heart failure hospitalized in a tertiary-level hospital in Jiaxing City, China (n=261). Insomnia was prevalent in 66.7% of patients with chronic heart failure in Jiaxing, China, with female gender associated with 13.6-fold higher odds (OR 13.566) of insomnia.
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