BACKGROUND: Mobile phone addiction is on the rise among various populations, particularly among the younger generations. This phenomenon can significantly impact various aspects of life, particularly mental health. This study aimed to examine the prevalence of mobile phone addiction and mental health, as well as the associated factors of mental health among medical students in southeast Iran in 2023.
METHODS: Using stratified sampling, 365 students from the Kerman University of Medical Sciences were included from May to June 2023. The data collection tool comprised a questionnaire assessing general health (GHQ-28), mobile phone addiction, and social support. Logistic regression was used to examine the associated factors of mental health.
RESULTS: The prevalence of mobile phone addiction and poor mental health among students was 46.6% (95% Confidence Intervals [CI]: 41.4; 51.7) and 52.9% (95% CI: 47.7; 57.9), respectively. The results of the multivariable logistic regression analysis indicated that individuals with mobile phone addiction had higher odds of experiencing a poor mental health situation (Adjusted Odds Ratio [aOR] = 2.01; 95% CI: 1.30, 3.09). Conversely, participants with higher social support scores were less likely to have poor health (aOR = 0.95; 95% CI: 0.94, 0.97).
CONCLUSIONS: We found a high prevalence of mobile phone addiction. Considering the association between mobile phone addiction and mental health, it is necessary to prevent the complications and risks caused by mobile phone addiction; it requires educational planning, counseling, and behavior among vulnerable students.

Background and objective While smartphones offer various benefits, addiction to them among young people poses a serious problem for parents and educators globally. Several studies have tried to assess the impact of the excessive use of/addiction to smartphones on students\' overall academic performance. While a few studies have found a positive impact, most have observed a negative impact, mainly in the form of deterioration of mental and physical health and academic performance of students. In light of this, we conducted this study in three medical colleges in Karnataka, India with the objectives of determining the effect of smartphone addiction on the academic performance of undergraduate medical students and to identify the risk factors associated with it. Material and methods This cross-sectional study, conducted between July 2022 and October 2023, involved undergraduate medical students from Yenepoya Medical College, Subbaiah Institute of Medical Sciences, and Adichunchanagiri Institute of Medical Science. A total of 481 students were enrolled by stratified random sampling. Data were collected with the help of Google Forms by using a pre-tested questionnaire. Mobile phone addiction was assessed by using the smartphone addiction scale-short version (SAS-SV). Results Among 481 students, 211 (43.9%) were found to be mobile phone addicts. An independent t-test showed that academic performance was negatively affected in students who were mobile phone addicts. Multivariate logistic regression analysis revealed several factors significantly associated with mobile phone addiction, including male gender, regular mobile gaming, seeking recognition/popularity through social media, frequent smartphone checking, perceiving smartphone use as more attractive than other activities, limited co-curricular activities, and increased smartphone use during periods of depression or anxiety. Conclusions Based on our findings, smartphone addiction has a negative impact on the academic performance of students. To mitigate this issue, educational institutions should integrate efforts to tackle smartphone addiction into their curricula and prioritize addressing the identified risk factors.

OBJECTIVE: Good sleep is one of the necessary conditions to ensure the normal performance of the physiological and psychological functions of college students. This study aimed to explore the relationship between mobile phone addiction and bedtime procrastination among Chinese college students and the mediating mechanisms of physical exercise and anxiety between the two, with a view to seek ways to prevent and intervene in college students\' sleep procrastination and improve their sleep quality.
METHODS: Using SPSS 29.0 analysis with Bootstrap\'s method, 3,800 first-year students, sophomores, and juniors were given the Mobile Phone Addiction Tendency Scale, Bedtime Procrastination Scale, Physical Activity Scale, and Anxiety Scale. The results of the analyses included mediation tests and effect analyses of anxiety and physical activity.
RESULTS: The correlation analysis revealed significant positive correlations between mobile phone addiction and bedtime procrastination (r = 0.149, p < 0.01) as well as anxiety (r = 0.497, p < 0.01). Additionally, there was a significant negative correlation between mobile phone addiction and physical activity (r = -0.447, p < 0.01). Physical activity was also found to have significant negative correlations with anxiety (r = -0.506, p < 0.01) and bedtime procrastination (r = -0.424, p < 0.01). Furthermore, anxiety showed a significant positive correlation with bedtime procrastination (r = 0.334, p < 0.01). Physical activity and anxiety acted as substantial mediators between mobile phone addiction and nighttime procrastination. Both mediators had considerable masking effects, with the mediating effect amounting to 50.3% and 25.1%, respectively. Physical exercise and anxiety played a chain mediating role between mobile phone addiction and bedtime procrastination, and the masking effect was also significant, with a mediating effect size of 13.4%.
CONCLUSIONS: This study reveals the special characteristics of the influencing factors and pathways of bedtime procrastination in this group of college students, providing targeted evidence for the prevention and intervention of bedtime procrastination in college students. It also has an important reference value for the effects of exercise and comprehensive intervention to improve bedtime procrastination and enhance the quality of sleep in college students.

UNASSIGNED: The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5.
UNASSIGNED: We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction (p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751).
UNASSIGNED: The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction.
UNASSIGNED: This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.

In recent years, with the rapid advancement of Internet technology and the impact of the COVID-19 pandemic, mobile phones have been used more frequently, the development trend of mobile phone addiction among Chinese college students is a concern to society. This cross-temporal meta-analysis provides compelling evidence of the rising trend of mobile phone addiction in Chinese college students based on data from 42 independent studies (Sample Size = 49,544) over the past decade (2013-2022), and discuss the three important rising periods. Furthermore, extended research has revealed correlated factors of mobile phone addiction among Chinese college students, including gender, anxiety, depression, loneliness, stress, well-being, social support, and resilience. Additionally, the study identified the National internet penetration rate and the National GDP index as significant predictors of mobile phone addiction in Chinese college students. These findings not only reveal the changing trends of mobile phone addiction among Chinese college students, but also enrich the understanding of mobile phone addiction among this population and provide a reference for improving mobile phone addiction among in the future.

It has been reported that parental phubbing is a significant predictor of mobile phone addiction (MPA) among adolescents. However, the mechanisms underlying this association remain largely unclarified. On the basis of the social learning theories and ecological systems, this study assessed the mediating effect of deviant peer affiliation and the moderating effect of sensation seeking in the association between parental phubbing and MPA among Chinese adolescents. A total of 786 Chinese adolescents (mean age = 13.17 years, SD = 1.35) completed the questionnaires anonymously about parental phubbing, MPA, deviant peer affiliation and sensation seeking. After controlling for study variables, deviant peer affiliation could partially mediate the association between parental phubbing and MPA among adolescents and this indirect path could be moderated by sensation seeking. Notably, the effect of deviant peer affiliation on MPA was more pronounced in adolescents with higher sensation seeking than in those with lower sensation seeking.

OBJECTIVE: This study aimed to explore the impact of nomophobic behaviors among hospital nurses on their clinical decision-making perceptions. This understanding can offer insights to enhance the work environment, improve the clinical decision-making ability of nurses and guide medical institutions in the management of related equipment and policy development.
BACKGROUND: The term \"nomophobia\" refers to the anxiety and fear individuals experience when they cannot use their smartphones or when smartphones are not accessible. Nursing clinical decision-making is a complex process, including a meticulous assessment of the patient\'s pathological condition and medical history, alongside the application of nursing knowledge and experiential learning rooted in critical thinking. The concept of clinical decision-making perceptions is defined as a deliberate cognitive understanding of one\'s decision-making processes, which significantly influences the clinical decision-making capabilities of healthcare professionals, thereby impacting the quality of patient care. The factors influencing these clinical decision-making perceptions have been the subject of extensive research. However, there is no Chinese research on the impact of nurses \' nomophobic behaviors on their clinical decision-making perception.
METHODS: A cross-sectional descriptive survey using online-based delivery modes was used.
METHODS: A descriptive cross-sectional survey design was employed. Using convenience sampling, we surveyed the nurses from a tertiary hospital in Nanjing in May 2023. Data were gathered using a sociodemographic data form, the Nomophobia Questionnaire and the Clinical Decision-Making in Nursing Scale. Techniques including the independent sample t-test, one-way ANOVA, Pearson correlation analysis and linear regression analysis were employed to probe the degree of nomophobia and its effects on their perception of clinical decision-making. Out of 284 questionnaires gathered, 272 were deemed valid, resulting in a 95.8% effective response rate.
RESULTS: The data revealed that participants exhibited a medium level of nomophobia (54.01 ± 24.09) and clinical decision-making perceptions (144.94 ± 20.08). A robust negative correlation was discerned between nomophobia and clinical decision-making perceptions (r: -0.365, P<0.001). This study highlighted that as the degree of nomophobia intensified, nurses\' clinical decision-making perceptions decreased with the increase in nomophobia.
CONCLUSIONS: Nomophobic behaviors can hamper nurses\' perception of clinical decision-making, potentially leading to inaccuracies or errors. Nurses must use mobile phones judiciously, practice self-regulation and mitigate the disruptive effects of nomophobia on their decision-making. In addition, medical institutions should foster relevant education or craft policies to regularize mobile phone use, augmenting nurses\' efficiency and decision-making prowess, enhancing patient care quality, diminishing medical errors and ensuring patient health and safety.

UNASSIGNED: Recent studies have shown that regular physical activity (PA) can positively influence mobile phone addiction (MPA) behaviors in college students. However, it remains unknown whether this effect is mediated by other factors. Evidence suggests that resilience and interaction anxiousness may be candidate mediators that partly explain the positive effect of PA on MPA. This study aims to explore the impact of PA on MPA through a mediation model, and the role of resilience and interaction anxiousness in this relationship.
UNASSIGNED: The participants were 590 college students (272 males; mean age = 19.67) who completed a psychosocial battery, including the international physical activity questionnaire-short form (IPAQ-SF), the connor - davidson resilience scale (CD-RISC), the interaction anxiousness scale (IAS), and the mobile phone addiction index (MPAI). Correlations of variables were computed using Pearson\'s test. Mediation models were tested using SPSSS PROCESS macro with the regression bootstrapping method.
UNASSIGNED: PA were negatively associated with MPA behavior (r=-.21, p < 0.01). Resilience and interaction anxiousness moderated the relationship between PA and MPA. More importantly, PA could also influence MPA through the chain-mediating effects of resilience and interaction anxiousness.
UNASSIGNED: It is essential to improve resilience and reduce interaction anxiousness to reduce MPA problems through regular engagement in PA among college students.

Mobile phone addiction has adverse influences on the physical and mental health of college students. However, few studies shed light on the effect of fear of missing out on mobile phone addiction and the underlying mechanisms among college students.
To explore their associations, the present study used the Fear of Missing Out Scales (FoMOS), Loneliness Scale (USL-8), Mobile Phone Addiction Index Scale (MPAI), and Depression-Anxiety-Stress Questionnaire (DASS-21) to investigate 750 college students.
The results suggested that fear of missing out significantly positively predicted mobile phone addiction. This direct effect could be mediated by depression, and the indirect effect of fear of missing out on mobile phone addiction could be moderated by loneliness. Specifically, the indirect effect was stronger for students with high levels of loneliness.
This study provides a theoretical basis for developing future interventions for mobile phone addiction in higher education students.

BACKGROUND: Bedtime procrastination refers to an individual\'s inability to go to bed at a predetermined time without external obstacles. Previous researchers have found that the bedtime procrastination is harmful to human physical and mental health, but these research on bedtime procrastination have mostly focused on exploring individual factors, while ignoring the external environmental factors. Therefore, this is the first study to investigate bedtime procrastination from the perspective of family environments.
METHODS: The study was conducted using a convenient sampling method and online questionnaires. Family Cohesion Scale, Coping Styles Questionnaire, Mobile Phone Addiction Tendency Scale and Bedtime Procrastination Scale were used to measure sleep and psychological condition of 1,048 college students.
RESULTS: Family cohesion negatively predicted bedtime procrastination. Additionally, positive coping style and mobile phone addiction had significant independent mediating effects. Furthermore, positive coping style and mobile phone addiction had chain mediating effects between family cohesion and bedtime procrastination.
CONCLUSIONS: This study revealed the effect of coping styles and mobile phone addiction on the relationship between family cohesion and bedtime procrastination among Chinese college students. These findings explained the mechanisms of bedtime procrastination from the perspective of environment, so as to effectively intervene the bedtime procrastination of college students from the perspective of external environment.