The effects of prolonged sitting behavior on resting-state brain functional connectivity in college students post-COVID-19 rehabilitation: A study based on fNIRS technology DOI Creative Commons
Xiaocong Yan,

Ying Qin,

Haifeng Yu

et al.

Sports Medicine and Health Science, Journal Year: 2024, Volume and Issue: 6(3), P. 287 - 294

Published: June 5, 2024

Functional near-infrared spectroscopy (fNIRS) was used to explore the effects of sedentary behavior on brain functional connectivity characteristics college students in resting state after recovering from Corona Virus Disease 2019 (COVID-19). Twenty-two with and 22 maintenance exercise habits were included analysis; moreover, 8 ​min fNIRS resting-state data collected. Based concentrations oxyhemoglobin (HbO2) deoxyhemoglobin (HbR) time series, connection strength two groups subjects, including prefrontal cortex (PFC) lower limb supplementary motor area (LS), as well activity connections primary (M1) calculated. The following findings demonstrated. (1) analysis based HbO2 demonstrated that comparison mean homologous regions interest (ROIs) between group group, there no significant difference ROIs (p>0.05). In strengths heterologous ROIs, right PFC LS (p=0.0097), left (p=0.0127), M1 (p=0.0305) significantly greater. (p=0.0312) (p=0.0370) Additionally, (p=0.0438) (2) HbR (p>0.05) or Similarly, groups. Experimental results graphical indicate this experiment, student participants who exhibited behaviors showed an increase signals. Increase signals among exhibiting may be linked their status post-SARS-CoV-2 infection context, potentially contributing strengthened cortical network. Conversely, decreased for behaviors, maintained reasonable routines under same conditions counterparts. suggest have potential mitigate reduce impacts

Language: Английский

Relationships among eHealth Literacy, Physical Literacy, and Physical Activity in Chinese University Students: A Cross-Sectional Study (Preprint) DOI Creative Commons
Shan Jiang, Johan Y. Y. Ng, Siu Ming Choi

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e56386 - e56386

Published: Sept. 23, 2024

Background eHealth literacy is critical for evaluating abilities in locating, accessing, and applying digital health information to enhance one’s understanding, skills, attitudes toward a healthy lifestyle. Prior research indicates that enhancing can improve behaviors such as physical activity (PA). Physical (PL) refers the ability develop sustainable PA habits, taking into account various aspects of an individual. Notably, university students have shown decline possess low PL levels. However, connection between this demographic has not been extensively studied, it remains uncertain whether acts mediator PL. Objective This study examines extent which mediates link Chinese explores gender differences these variables. Methods In February 2022, cross-sectional survey was administered 1210 across 3 universities China. The instruments used were Perceived Instrument, International Activity Questionnaire, version Literacy Scale. Correlations literacy, PA, analyzed using Pearson product-moment correlation multiple linear regression, while mediation models helped elucidate interactions among Results response rate 92.9% (1124/1210). analysis, showed significant direct effect on PL, with coefficient 0.78 (β .75, SE 0.02; P<.001). Moderate vigorous (MVPA) accounted 2.16% total effect, suggesting MVPA partially relationship Additionally, male outperformed female terms (t636=4.94; P<.001) (t636=3.18; P<.001), but no found (t636=1.23; P=.22). Conclusions findings indicate serves students. Students or limited are less likely be physically literate. Thus, plays crucial role especially when interventions targeting implemented. Our results also suggest need targeted education aimed at improving students, recognizing comparable genders universities.

Language: Английский

Citations

1

Beta-band oscillations and spike-local field potential synchronization in the motor cortex are correlated with movement deficits in an exercise-induced fatigue mouse model DOI
Xudong Zhao, Hualin Wang, Ke Li

et al.

Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 19(1)

Published: Dec. 31, 2024

Language: Английский

Citations

0

Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study (Preprint) DOI
Chuanliang Han,

Zhizhen Zhang,

Yuchen Lin

et al.

Published: Oct. 4, 2024

BACKGROUND The pursuit of sleep quality has become an important aspect people’s global quest for overall health. However, the objective neurobiological features corresponding to subjective perceptions remain poorly understood. Although previous studies have investigated relationship between electroencephalogram (EEG) and sleep, lack longitudinal follow-up raises doubts about reproducibility their findings. OBJECTIVE Currently, there is a gap in research regarding stable associations EEG data assessed through multiple collection sessions, which could help identify potential targets related quality. METHODS In this study, we used portable device collect resting-state prefrontal cortex over 3-month period from 42 participants (27 first month, 25 second 40 third month). Each participants’ was using Pittsburgh Sleep Quality Index (PSQI) estimate recent RESULTS We found that significant consistent positive correlation low α band activity PSQI scores (<i>r</i>=0.45, <i>P</i>&lt;.001). More importantly, remained across all recordings (<i>P</i>&lt;.05), regardless whether considered same cohort or expanded sample size. Furthermore, discovered periodic component primarily contributed association with PSQI. CONCLUSIONS These findings represent identification reliable target sessions. Our results provide solid foundation future applications devices monitoring screening disorders broad population.

Language: Английский

Citations

0

The effects of prolonged sitting behavior on resting-state brain functional connectivity in college students post-COVID-19 rehabilitation: A study based on fNIRS technology DOI Creative Commons
Xiaocong Yan,

Ying Qin,

Haifeng Yu

et al.

Sports Medicine and Health Science, Journal Year: 2024, Volume and Issue: 6(3), P. 287 - 294

Published: June 5, 2024

Functional near-infrared spectroscopy (fNIRS) was used to explore the effects of sedentary behavior on brain functional connectivity characteristics college students in resting state after recovering from Corona Virus Disease 2019 (COVID-19). Twenty-two with and 22 maintenance exercise habits were included analysis; moreover, 8 ​min fNIRS resting-state data collected. Based concentrations oxyhemoglobin (HbO2) deoxyhemoglobin (HbR) time series, connection strength two groups subjects, including prefrontal cortex (PFC) lower limb supplementary motor area (LS), as well activity connections primary (M1) calculated. The following findings demonstrated. (1) analysis based HbO2 demonstrated that comparison mean homologous regions interest (ROIs) between group group, there no significant difference ROIs (p>0.05). In strengths heterologous ROIs, right PFC LS (p=0.0097), left (p=0.0127), M1 (p=0.0305) significantly greater. (p=0.0312) (p=0.0370) Additionally, (p=0.0438) (2) HbR (p>0.05) or Similarly, groups. Experimental results graphical indicate this experiment, student participants who exhibited behaviors showed an increase signals. Increase signals among exhibiting may be linked their status post-SARS-CoV-2 infection context, potentially contributing strengthened cortical network. Conversely, decreased for behaviors, maintained reasonable routines under same conditions counterparts. suggest have potential mitigate reduce impacts

Language: Английский

Citations

0