Limited population-based data from children are available to investigate the associations between insomnia and sleep duration in relationship to impaired cardiac autonomic modulation (CAM). Therefore, the objective of...Limited population-based data from children are available to investigate the associations between insomnia and sleep duration in relationship to impaired cardiac autonomic modulation (CAM). Therefore, the objective of this study is to examine the cross-sectional associations between insomnia symptoms, sleep duration, and CAM in a population-based sample of children. All 616 children were randomly selected from Central Pennsylvania to participate in a one-night polysomnography (PSG) study in a sleep laboratory. The Pediatric Behavior Scale was used to assess parent-reported insomnia. Sleep duration was assessed objectively by PSG. CAM was measured by heart rate variability (HRV) analysis of 9-hour-beat-to-beat RR intervals. Multivariate linear regression models were used to assess the association between insomnia, sleep duration and HRV. The mean (SD) age was 9.2 (1.7) years, with 25.5% non-white and 48.9% male. After adjusting for age, race, gender, BMI percentile, %REM sleep, apnea-hypopnea-index, sleep latency, and sleep efficiency, the means(SE) of HRV indices were lower in children with insomnia than in children without: 6.56 (0.07) vs. 6.78 (0.04) m2 on logHF, respectively;and 6.47 (0.06) vs. 6.61 (0.03) m2 on logLF, respectively (all P < 0.05). There is a trend towards a significant lower time domain HRV indices, faster HR, and higher LF/HF ratio in children with insomnia symptoms. There is a similar pattern of association between shorter objective sleep duration and HRV. Insomnia symptoms and shorter objective sleep duration are associated with lower HRV and higher HR and LF/HF ratio, indicative of disturbance of CAM towards more sympathetic and lower parasympathetic modulation. These data provide supporting evidence of physiological activation associated with insomnia and short sleep duration even in very young children.展开更多
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder. It has been reported that approximately 40% of patients with moderate or severe OSAS die within the first eight years of disease. In hospitals, OSAS ...Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder. It has been reported that approximately 40% of patients with moderate or severe OSAS die within the first eight years of disease. In hospitals, OSAS is inspected using polysomnography, which uses a number of sensors. Because of the cumbersome nature of this polysomnography, an initial OSAS screening is usually conducted. In recent years, OSAS screening techniques using Holter electrocardiogram (ECG) have been reported. However, the techniques so far reported cannot perform an OSAS severity assessment. The present study presents a new method to distinguish the obstructive sleep apnea (OSA) and non-OSA epochs at one-second intervals based on the Apnea Hypopnea Index assessment, defined as the duration of continuous apnea. In the proposed method, the time-frequency components of the heart rate variability and three ECG-derived respiration signals calculated by the complex Morlet wavelet transformation are adopted as features. A support vector machine is employed for classification. The proposed method is evaluated using three eight-hour ECG recordings containing OSA episodes from three subjects. As a result, the sensitivity and specificity of classification are found to reach approximately 90%, a level suitable for OSAS screening in clinical settings.展开更多
文摘Limited population-based data from children are available to investigate the associations between insomnia and sleep duration in relationship to impaired cardiac autonomic modulation (CAM). Therefore, the objective of this study is to examine the cross-sectional associations between insomnia symptoms, sleep duration, and CAM in a population-based sample of children. All 616 children were randomly selected from Central Pennsylvania to participate in a one-night polysomnography (PSG) study in a sleep laboratory. The Pediatric Behavior Scale was used to assess parent-reported insomnia. Sleep duration was assessed objectively by PSG. CAM was measured by heart rate variability (HRV) analysis of 9-hour-beat-to-beat RR intervals. Multivariate linear regression models were used to assess the association between insomnia, sleep duration and HRV. The mean (SD) age was 9.2 (1.7) years, with 25.5% non-white and 48.9% male. After adjusting for age, race, gender, BMI percentile, %REM sleep, apnea-hypopnea-index, sleep latency, and sleep efficiency, the means(SE) of HRV indices were lower in children with insomnia than in children without: 6.56 (0.07) vs. 6.78 (0.04) m2 on logHF, respectively;and 6.47 (0.06) vs. 6.61 (0.03) m2 on logLF, respectively (all P < 0.05). There is a trend towards a significant lower time domain HRV indices, faster HR, and higher LF/HF ratio in children with insomnia symptoms. There is a similar pattern of association between shorter objective sleep duration and HRV. Insomnia symptoms and shorter objective sleep duration are associated with lower HRV and higher HR and LF/HF ratio, indicative of disturbance of CAM towards more sympathetic and lower parasympathetic modulation. These data provide supporting evidence of physiological activation associated with insomnia and short sleep duration even in very young children.
文摘Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder. It has been reported that approximately 40% of patients with moderate or severe OSAS die within the first eight years of disease. In hospitals, OSAS is inspected using polysomnography, which uses a number of sensors. Because of the cumbersome nature of this polysomnography, an initial OSAS screening is usually conducted. In recent years, OSAS screening techniques using Holter electrocardiogram (ECG) have been reported. However, the techniques so far reported cannot perform an OSAS severity assessment. The present study presents a new method to distinguish the obstructive sleep apnea (OSA) and non-OSA epochs at one-second intervals based on the Apnea Hypopnea Index assessment, defined as the duration of continuous apnea. In the proposed method, the time-frequency components of the heart rate variability and three ECG-derived respiration signals calculated by the complex Morlet wavelet transformation are adopted as features. A support vector machine is employed for classification. The proposed method is evaluated using three eight-hour ECG recordings containing OSA episodes from three subjects. As a result, the sensitivity and specificity of classification are found to reach approximately 90%, a level suitable for OSAS screening in clinical settings.
