Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index
To identify a screening tool for poor self-reported sleep quality at 12 weeks according to non-invasive measurements and patients’ characteristics in the first week after mild traumatic brain injury (mTBI), data from 473 mTBI participants were collected and follow-ups were performed at 12 weeks. Pat...
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MDPI AG
2021
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oai:doaj.org-article:62e6a20c20eb41cf8b39e4e2c26890572021-11-25T16:55:57ZScreening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index10.3390/brainsci111113692076-3425https://doaj.org/article/62e6a20c20eb41cf8b39e4e2c26890572021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1369https://doaj.org/toc/2076-3425To identify a screening tool for poor self-reported sleep quality at 12 weeks according to non-invasive measurements and patients’ characteristics in the first week after mild traumatic brain injury (mTBI), data from 473 mTBI participants were collected and follow-ups were performed at 12 weeks. Patients with previous poor self-reported sleep quality prior to the injury were excluded. Patients were then divided into two groups at 12 weeks according to the Pittsburgh Sleep Quality Index based on whether or not they experienced poor sleep quality. The analysis was performed on personal profiles and heart rate variability (HRV) for 1 week. After analyzing the non-invasive measurements and characteristics of mTBI patients who did not complain of poor sleep quality, several factors were found to be relevant to the delayed onset of poor sleep quality, including age, gender, and HRV measurements. The HRV–age–gender (HAG) index was proposed and found to have 100% sensitivity (cut-off, 7; specificity, 0.537) to predicting whether the patient will experience poor sleep quality after mTBI at the 12-week follow-up. The HAG index helps us to identify patients with mTBI who have no sleep quality complaints but are prone to developing poor self-reported sleep quality. Additional interventions to improve sleep quality would be important for these particular patients in the future.Hon-Ping MaJu-Chi OuKai-Yun ChenKuo-Hsing LiaoShuo-Jhen KangJia-Yi WangYung-Hsiao ChiangJohn Chung-Che WuMDPI AGarticlemild traumatic brain injurysleep qualityheart rate variabilityPittsburgh sleep quality indexNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1369, p 1369 (2021) |
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mild traumatic brain injury sleep quality heart rate variability Pittsburgh sleep quality index Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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mild traumatic brain injury sleep quality heart rate variability Pittsburgh sleep quality index Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Hon-Ping Ma Ju-Chi Ou Kai-Yun Chen Kuo-Hsing Liao Shuo-Jhen Kang Jia-Yi Wang Yung-Hsiao Chiang John Chung-Che Wu Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
description |
To identify a screening tool for poor self-reported sleep quality at 12 weeks according to non-invasive measurements and patients’ characteristics in the first week after mild traumatic brain injury (mTBI), data from 473 mTBI participants were collected and follow-ups were performed at 12 weeks. Patients with previous poor self-reported sleep quality prior to the injury were excluded. Patients were then divided into two groups at 12 weeks according to the Pittsburgh Sleep Quality Index based on whether or not they experienced poor sleep quality. The analysis was performed on personal profiles and heart rate variability (HRV) for 1 week. After analyzing the non-invasive measurements and characteristics of mTBI patients who did not complain of poor sleep quality, several factors were found to be relevant to the delayed onset of poor sleep quality, including age, gender, and HRV measurements. The HRV–age–gender (HAG) index was proposed and found to have 100% sensitivity (cut-off, 7; specificity, 0.537) to predicting whether the patient will experience poor sleep quality after mTBI at the 12-week follow-up. The HAG index helps us to identify patients with mTBI who have no sleep quality complaints but are prone to developing poor self-reported sleep quality. Additional interventions to improve sleep quality would be important for these particular patients in the future. |
format |
article |
author |
Hon-Ping Ma Ju-Chi Ou Kai-Yun Chen Kuo-Hsing Liao Shuo-Jhen Kang Jia-Yi Wang Yung-Hsiao Chiang John Chung-Che Wu |
author_facet |
Hon-Ping Ma Ju-Chi Ou Kai-Yun Chen Kuo-Hsing Liao Shuo-Jhen Kang Jia-Yi Wang Yung-Hsiao Chiang John Chung-Che Wu |
author_sort |
Hon-Ping Ma |
title |
Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
title_short |
Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
title_full |
Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
title_fullStr |
Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
title_full_unstemmed |
Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index |
title_sort |
screening for poor self-reported sleep quality at 12 weeks in post-mild traumatic brain injury patients using the hf–age–gender (hag) index |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/62e6a20c20eb41cf8b39e4e2c2689057 |
work_keys_str_mv |
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