PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 23, 2025Frontiers in Psychiatry15 citationsOpen Access

Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals

WLWenna LiuSWShutong WangHGHanyang Gu

Key Result

Anxiety, depression, and sleep disorders independently predicted significant reductions in heart rate variability indices, with comorbid conditions exhibiting a superimposed effect on autonomic dysfunction.

Study Design

Type

Case-Control (n=355)

Multicenter

No

Structured PICO

Do anxiety, depression, and sleep disorders impact heart rate variability in elderly individuals?

P
Population
355 elderly patients (163 men, 192 women) aged ≥60 years undergoing health check-ups at Xijing Hospital, categorized by the presence of anxiety, depression, and sleep disorders.
C
Comparator
Healthy control group (n=42) without anxiety, depression, or sleep disorders.
O
Outcome
Heart rate variability (HRV) indices (SDNN, SDANN, RMSSD, PNN50, LF/HF, LF, HF) measured via 24-hour ECG monitoring.surrogate

Anxiety, depression, and sleep disorders are associated with decreased heart rate variability in elderly individuals, suggesting HRV could serve as an objective tool for assessing emotional and sleep disorders.

Main Result

Effect estimate: OR 3.50 (95% CI 1.33-9.03)

p-value: p=0.01

Limitations

  • Lack of a clearly defined normal threshold for various HRV parameters in healthy individuals
  • lack of a clearly defined normal threshold for various HRV parameters in healthy individuals

Abstract

Introduction This study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes. Methods We examined 355 patients (163 men, 192 women) at Xijing Hospital from July 2021 to December 2022 during health check-ups. Demographics were recorded, and emotional status was assessed using the Hamilton Anxiety Scale (HAMA) and the Hamilton Depression Scale (HAMD). The Pittsburgh Sleep Quality Scale (PSQI) evaluated sleep quality. Patients were categorized into groups A-G based on the presence of emotional states and sleep disorders. HRV indices—SDNN, SDANN, RMSSD, PNN50, LF/HF, LF, and HF—were analyzed using ANOVA and multivariate logistic regression. Results No statistically significant differences were observed in demographic, clinical, and lifestyle factors across the eight groups. Variables assessed included age, sex, body mass index (BMI), fasting blood glucose, glycated hemoglobin (HbA1c), blood lipids, blood pressure, heart rate, and histories of smoking and alcohol consumption. Additionally, the presence of hypertension, diabetes, coronary heart disease, marital status, income, and education level were evaluated, with all showing equivalence ( P 0.05). Significant differences in HRV indices were observed across groups, particularly in group G (patients with anxiety, depression and sleep disorders), which showed decreased HRV parameters except LF/HF, and group H (control group), which showed increased parameters, also except LF/HF ( P 0.01). Anxiety was an independent risk factor for reduced SDNN, SDANN, and LF ( P ≤ 0.01), and increased LF/HF ratio ( P 0.01). Depression was linked to decreased SDNN, RMSSD, PNN50, and HF ( P 0.05). Sleep disorders independently predicted reduced PNN50 and SDANN ( P 0.01). Conclusion HRV indices of individuals with varying emotional states and sleep disorders exhibited varying degrees of decrease. Anxiety, depression, and sleep disorders presented a superimposed effect on HRV. SDNN, SDANN, RMSSD, PNN50, HF and LF of HRV are of great reference value in the diagnosis of emotional and sleep disorders. For elderly patients experiencing cognitive impairment, HRV is anticipated to serve as a convenient and effective tool for assessing mood and sleep disorders.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Liu et al. (2025) conducted a case-control in Anxiety, depression, and sleep disorders (n=355). Anxiety vs. Healthy controls was evaluated on Reduced SDNN (Standard deviation of normal-to-normal intervals) (OR 3.50, 95% CI 1.33-9.03, p=0.01). Anxiety, depression, and sleep disorders independently predicted significant reductions in heart rate variability indices, with comorbid conditions exhibiting a superimposed effect on autonomic dysfunction.

synapsesocial.com/papers/6a1589f45c7c86e0359f5367https://doi.org/10.3389/fpsyt.2025.1485183
Ask AI
Helpful
Bookmark
Share
View Full Paper