Background: The smart phone contains various mobile applications specifically targeting their contents, such as information, messages, e-mail, education and entertainment towards youths. Problematic and excessive smart phone usage can cause many health problems including anxiety, depression and sleep disorders.
Aims: The aim of this study is to analyse the relationship between smart phone usage, sleep quality and depression.
Methods: Eight hundred and four students who owned smart phones were given the Information Form, Smart Phone Addiction Scale-Short Version, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Inventory (BDI). The descriptive statistics, independent sample -test, one-way ANOVA, correlation analysis and multivariate regression analysis were used for analysis data.
Results: The mean age of the students in the sample was 20.93 ± 2.44. It comprised female (65.0%) and male (35.0%) students. All of the students used smart phones. The daily smart phone usage duration was 7.85 ± 4.55 hour. According to the multivariate linear regression analysis results, significant relationships were statistically determined in the positive way between the smart phone addiction and PSQI point ( .01) and BDI point ( .01).
Conclusion: Consequently, a relationship exists between smart phone usage, poor sleep quality and depressive symptoms in university students. The university students, whose depression point is high and sleep quality is poor, should be followed up with regarding the smart phone addiction.
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http://dx.doi.org/10.1177/0020764020960207 | DOI Listing |
Digit Health
January 2025
Secretaria do Estado de Educação do Distrito Federal, Escola Técnica de Ceilândia, Educação à Distância. Distrito Federal, Brazil.
Objective: Promoting healthy lifestyle behaviors is essential for preventing and managing chronic and mental health conditions. This study aims to present a digital health platform accessible via PC or smartphone, , designed to foster lifestyle change among the Brazilian population. It evaluates interest, uptake, acceptability, usability, adherence, and retention over 12 weeks.
View Article and Find Full Text PDFFront Psychiatry
January 2025
School of Education Sciences, Chongqing Normal University, Chongqing, China.
The current study employed network analysis to examine the relationship between symptoms from factor level about autism traits and problematic mobile phone use (PMPU) and to explore their associations with depression. We measured the above three variables in 949 college students in China with Autism Spectrum Quotient (AQ), Smartphone Addiction Scale (SAS), Center for Epidemiological Studies Depression Scale (CES-D). Central and bridge symptoms were pinpointed through the examination of centrality index.
View Article and Find Full Text PDFAddict Res Theory
December 2023
University of Oklahoma Health Sciences Center, TSET Health Promotion Research Center, Stephenson Cancer Center, OK, USA.
Background: Alcohol misuse is higher among adults experiencing homelessness (AEH) compared to housed adults. Greater expectancy that alcohol will improve mood, negative affect, and lower self-efficacy have been linked to alcohol misuse in AEH. However, little is known about the momentary relationships between affect, alcohol expectancies, and self-efficacy to avoid alcohol in AEH.
View Article and Find Full Text PDFBMC Res Notes
January 2025
Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Most children experience distress while visiting a dentist, above which the sound of the airotor and suction machine results in fear and difficulty in performing further procedures.
Methods: This was a randomized controlled parallel-group study of 40 children aged 6-13 years who required cavity preparation via the airotor. The children were randomly allocated to either Group 1 (Piano music app; active distraction combined with audio analgesia) or Group 2 (basic behavioural guidance alone).
JMIR Form Res
January 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Background: The symptoms and associated characteristics of attention-deficit/hyperactivity disorder (ADHD) are typically assessed in person at a clinic or in a research lab. Mobile health offers a new approach to obtaining additional passively and continuously measured real-world behavioral data. Using our new ADHD remote technology (ART) system, based on the Remote Assessment of Disease and Relapses (RADAR)-base platform, we explore novel digital markers for their potential to identify behavioral patterns associated with ADHD.
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