Level of Insomnia, Symptoms of Depression, and Anxiety among College Students with Mobile Phone Addiction: Basis for Guidance and Counseling Program Enhancement

Mobile phone addiction is a growing concern among college students, with significant implications for their mental health. This study examines the complex relationship between mobile phone addiction and its impact on college students’ insomnia, symptoms of depression, and anxiety. A sample of 399 college students from traditional Chinese medicine colleges in Guangxi, China, completed the Mobile Phone Addiction Tendency Scale questionnaire. Among them, 155 students with high Mobile Phone Addiction Tendency scores were selected for the correlation study. The analysis revealed a strong association between mobile phone addiction and insomnia. Furthermore, mobile phone addiction was significantly associated with symptoms of depression, including feelings of sadness, worthlessness, and hopelessness, as well as heightened anxiety symptoms, such as excessive worry and restlessness. These findings emphasized the importance of targeted interventions and preventive measures to address the negative impact of mobile phone addiction on college students’ mental health.

A Problem Not to Be Ignored: The Influencing Factors of Mobile Phone Addiction and Its Influence on Sleep Quality

Background and Objective: With the popularity and widespread use of mobile phones, the effects of mobile phone dependence and addiction on individuals’ physical and mental health have attracted more and more attention. The present study aims to analyze the current state of mobile phone addiction and its impact on sleep quality within the population, while also exploring the influence of related factors on sleep quality. Ultimately, this research will provide a scientific foundation for targeted intervention measures and strategies. Methods: A total of 253 permanent residents in Nanjing were randomly selected as study subjects. The Mobile Phone Addiction Index (MPAI) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the degree of smartphone addiction and sleep quality of the study subjects. Body mass index (BMI) was measured according to standardized procedures. Independent sample t-test, Chi-square test, rank sum test and multiple linear regression were used to analyze the correlation between mobile phone addiction and sleep quality, and P Results: 117 people (46.2%) were addicted to mobile phones. Chi-square test showed that the rate of mobile phone addiction in drinking group was significantly higher than that in non-drinking group (P P P P P P P P P P Conclusion: Mobile phone addiction may lead to shorter sleep duration and reduce sleep efficiency. The withdrawal of mobile phone addiction may have a negative impact on sleep quality. According to the characteristics of the population, appropriate comprehensive intervention measures should be taken to build an effective evaluation system, so as to reduce the impact of mobile phone addiction and withdrawal problems on sleep and improve sleep quality.

The Relationship between Dimensions of Emerging Adulthood and Behavioral Problems among Chinese Emerging Adults: The Mediating Role of Physical Activity and Self- Control

Emerging adulthood(EA)is a critical stage of life to develop and sustain a healthy lifestyle,which is also a time of vulnerability to poor physical and mental health outcomes.In this study,we conducted a path analysis(N=1326)to examine associations among four dimensions of EA,levels of regular physical activity(PA),self-control,MPA tendency and irrational procrastination.Results found:1)higher levels of PA predicted both MPA tendency(β=−0.08,95%CI:−0.11 to−0.06,p<0.001)and irrational procrastination(β=−0.01,95%CI:−0.17 to−0.008,p<0.01)indirectly via self-control;2)Instability(β=0.13,95%CI:0.08 to 0.18,p<0.01)and Responsibility(β=−0.06,95%CI:−0.10 to−0.08,p=0.03)exerted direct effects on irrational procrastination and Instability also indirectly predicted irrational procrastination via MPA tendency(β=0.03,95%CI:0.02 to 0.05,p<0.01).These findings proved that perceived features of EA are linked to behavioral problems and supported that regular PA plays a crucial role to protect mental health.