Dolphin
Senior Member (Voting Rights)
https://www.nature.com/articles/s41598-024-82411-w
Abstract
This study investigated the impact of mild COVID-19 on HRV in groups stratified by time after infection and to compare to a healthy group of the same age without previous virus infection and without need of hospitalization.
This is a cross-sectional study.
We divided the sample into four groups: control group (CG) (n = 31), group 1 (G1): ≤6 weeks (n = 34), group 2 (G2): 2–6 months (n = 30), group 3 (G3): 7–12 months (n = 35) after infection.
For HRV analysis, we used the indices of linear (time and frequency domain) and non-linear analysis.
For comparisons between groups, ANOVA one way test or Kruskal–Wallis was used according to the data distribution.
The effect size was calculated based on Cohen’s d or η2.
Simple and multiple linear regressions were performed to investigate the interaction between clinical outcomes and HRV parameters.
A total of 130 individuals were included. Groups G1 and G2 showed less parasympathetic modulation when compared to CG (p < 0.05), while G3 showed an increase in parasympathetic modulation when compared to G1 (p < 0.05).
Moderate to large effect sizes were found according to Cohen d or η2.
The multiple linear regression models identified age and infection duration as significant predictors for RMSSD (adjusted R2 = 0.227) and SD1 (adjusted R2 = 0.242), while age was significant for SDNN (adjusted R2 = 0.213). BMI, hypertension, and dyslipidemia were non-significant in all models.
For HF (n.u.), infection duration was consistently significant, with stress emerging as a predictor in Model 2 (adjusted R2 = 0.143).
The recovery time since diagnosis and age influences recovery from HRV, suggesting a transient effect of the disease on the autonomic nervous system.
- Article
- Open access
- Published: 28 December 2024
- Aldair Darlan Santos-de-Araújo,
- Daniela Bassi-Dibai,
- Renan Shida Marinho,
- Izadora Moraes Dourado,
- Lucivalda Viegas de Almeida,
- Sigrid de Sousa dos Santos,
- Shane A. Phillips &
- Audrey Borghi-Silva
Abstract
This study investigated the impact of mild COVID-19 on HRV in groups stratified by time after infection and to compare to a healthy group of the same age without previous virus infection and without need of hospitalization.
This is a cross-sectional study.
We divided the sample into four groups: control group (CG) (n = 31), group 1 (G1): ≤6 weeks (n = 34), group 2 (G2): 2–6 months (n = 30), group 3 (G3): 7–12 months (n = 35) after infection.
For HRV analysis, we used the indices of linear (time and frequency domain) and non-linear analysis.
For comparisons between groups, ANOVA one way test or Kruskal–Wallis was used according to the data distribution.
The effect size was calculated based on Cohen’s d or η2.
Simple and multiple linear regressions were performed to investigate the interaction between clinical outcomes and HRV parameters.
A total of 130 individuals were included. Groups G1 and G2 showed less parasympathetic modulation when compared to CG (p < 0.05), while G3 showed an increase in parasympathetic modulation when compared to G1 (p < 0.05).
Moderate to large effect sizes were found according to Cohen d or η2.
The multiple linear regression models identified age and infection duration as significant predictors for RMSSD (adjusted R2 = 0.227) and SD1 (adjusted R2 = 0.242), while age was significant for SDNN (adjusted R2 = 0.213). BMI, hypertension, and dyslipidemia were non-significant in all models.
For HF (n.u.), infection duration was consistently significant, with stress emerging as a predictor in Model 2 (adjusted R2 = 0.143).
The recovery time since diagnosis and age influences recovery from HRV, suggesting a transient effect of the disease on the autonomic nervous system.