Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals
IntroductionThis study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes.MethodsWe examined 355 patients (163 men, 192 women) at Xijing Hospital from July 2021 to December 2022 during healt...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485183/full |
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| author | Wenna Liu Shutong Wang Hanyang Gu Rong Li |
| author_facet | Wenna Liu Shutong Wang Hanyang Gu Rong Li |
| author_sort | Wenna Liu |
| collection | DOAJ |
| description | IntroductionThis study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes.MethodsWe 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.ResultsNo 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).ConclusionHRV 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. |
| format | Article |
| id | doaj-art-f3f3c28d306246d1b7e4630a440d8b9f |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj-art-f3f3c28d306246d1b7e4630a440d8b9f2025-01-23T06:56:21ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-01-011610.3389/fpsyt.2025.14851831485183Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individualsWenna LiuShutong WangHanyang GuRong LiIntroductionThis study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes.MethodsWe 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.ResultsNo 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).ConclusionHRV 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485183/fullanxietydepressionsleep disordersheart rate variabilityelderly individuals |
| spellingShingle | Wenna Liu Shutong Wang Hanyang Gu Rong Li Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals Frontiers in Psychiatry anxiety depression sleep disorders heart rate variability elderly individuals |
| title | Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals |
| title_full | Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals |
| title_fullStr | Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals |
| title_full_unstemmed | Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals |
| title_short | Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals |
| title_sort | heart rate variability a potential assessment tool for identifying anxiety depression and sleep disorders in elderly individuals |
| topic | anxiety depression sleep disorders heart rate variability elderly individuals |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485183/full |
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