Near infrared spectroscopy assessed oxygenated hemoglobin with sleep quality among college students
10.16835/j.cnki.1000-9817.2022.03.026
- VernacularTitle:不同睡眠质量大学生氧合血红蛋白的差异
- Author:
REN Honglin, BIAN Yueran, ZHANG Yan, QIU Min, XIANG Nian,WU Huifen, XIAO Qiang, LI Xiaonan
1
Author Information
1. School of General Education,Wuhan Vocational College of Software and Engineering, Wuhan (430205) ,China
- Publication Type:期刊文章
- Keywords:
Sleep;
Oxyhemoglobins;
Analysis of variance;
Students
- From:
Chinese Journal of School Health
2022;43(3):425-428
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Functional near infrared spectroscopy (fNIRS) was used to assess brain oxygenated hemoglobin (Oxy Hb) activation in college students with different sleep quality under the verbal fluency task (VFT), so as to better provide a theoretical basis for the neural mechanism for sleep quality improvement of college students.
Methods:A simple random sampling method was used to investigate 96 college students from one university during 2020 and 2021. According to the results of the Pittsburgh Sleep Quality Index(PSQI), participants were divided into 3 groups: good sleep quality group( n =45), moderate group( n =33), and poor group( n =18). The 53 channel near infrared spectroscopy to collect cerebral blood oxygen signals under the VFT task. Association between oxygenated hemoglobin with sleep quality was analyzed.
Results:About 18.75% of college students reported sleep quality problems, including long sleep latency (0.97±0.97) and poor subjective sleep quality (0.96±0.72). There was a significant negative correlation between PSQI score and average oxygenated hemoglobin (Avg HbO) index of dorsolateral prefrontal lobe ( r =-0.23, P =0.03). The Avg HbO index differed significantly between good and poor sleep quality groups on dorsolateral prefrontal lobe( P =0.05).
Conclusion:This study verified that there is a positive correlation between sleep quality and cognitive ability among college students. The fNIRS technique could accurately collect blood oxygen signals from dorsolateral prefrontal lobe during cognitive tasks, which proves to be an effective tool for identifying sleep quality of college students.
