Abstract Background Cross-sectional and longitudinal studies have found that problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms are strongly associated. However, studies are inconsistent regarding whether problematic mobile phone use predicts depressive symptoms or vice versa, and sleep factors have been infrequently focused on in this regard. In addition, few studies have examined the longitudinal associations and directions of effects between these factors. Therefore, this study aims to explore the longitudinal relationship among problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms in college students. Methods Overall, 1181 college students completed quest...
[Objective] To investigate the differences of socio-demographics and smartphone use features among C...
<div><p>Objectives</p><p>To investigate the independent and interactive associations of physical act...
This study examines (a) relations among technology use during sleep time, sleep quality, and depress...
Problematic mobile phone use (PMPU) is a risk factor for both adolescents’ sleep quality and mental ...
BackgroundWith the continuous updating of mobile phone functions, the phenomenon of mobile phone add...
Prior studies have suggested a link between sleep problems and problematic smartphone use. However, ...
As a global phenomenon, mobile phone addiction has become an increasingly common issue among Chinese...
[[abstract]]Introduction Smartphone usage has become commonplace and impact on sleep quality among a...
IntroductionSmartphone usage has become commonplace and impact on sleep quality among adolescents. A...
IntroductionSmartphone usage has become commonplace and impact on sleep quality among adolescents. A...
The primary aim of this study was to examine associations between problematic Internet use, depressi...
Abstract Background and objectives Sleep disturbances are recognized as a potential core feature of ...
Background and aims The usage of smartphones has increased rapidly in recent years, and this has b...
We aimed to examine sleep patterns and their association with depression and behavior problems amo...
To investigate the independent and interactive associations of physical activity (PA) and screen tim...
[Objective] To investigate the differences of socio-demographics and smartphone use features among C...
<div><p>Objectives</p><p>To investigate the independent and interactive associations of physical act...
This study examines (a) relations among technology use during sleep time, sleep quality, and depress...
Problematic mobile phone use (PMPU) is a risk factor for both adolescents’ sleep quality and mental ...
BackgroundWith the continuous updating of mobile phone functions, the phenomenon of mobile phone add...
Prior studies have suggested a link between sleep problems and problematic smartphone use. However, ...
As a global phenomenon, mobile phone addiction has become an increasingly common issue among Chinese...
[[abstract]]Introduction Smartphone usage has become commonplace and impact on sleep quality among a...
IntroductionSmartphone usage has become commonplace and impact on sleep quality among adolescents. A...
IntroductionSmartphone usage has become commonplace and impact on sleep quality among adolescents. A...
The primary aim of this study was to examine associations between problematic Internet use, depressi...
Abstract Background and objectives Sleep disturbances are recognized as a potential core feature of ...
Background and aims The usage of smartphones has increased rapidly in recent years, and this has b...
We aimed to examine sleep patterns and their association with depression and behavior problems amo...
To investigate the independent and interactive associations of physical activity (PA) and screen tim...
[Objective] To investigate the differences of socio-demographics and smartphone use features among C...
<div><p>Objectives</p><p>To investigate the independent and interactive associations of physical act...
This study examines (a) relations among technology use during sleep time, sleep quality, and depress...