Prevalence Of Smartphone Addiction Research Articles

Smartphone addiction among medical students in the University of Monastir, Tunisia

Abstract Background Smartphone addiction is a global mental health issue with diverse psychological and socioeconomic concerns. The aim of this study was to determine the prevalence of smartphone addiction and its associated factors among medical students in the university of Monastir, Tunisia. Methods We conducted a cross-sectional survey among medical students of the faculty of medicine of Monastir in October 2020. The data were collected through a self-administered anonymous questionnaire that included the SAS-SV scale to assess smartphone addiction levels. A multivariate logistic regression model was employed to identify associated factors. The threshold of statistical significance was set at p < 0.05. Results A total of 626 medical students participated in this study, with an average age of 21.76 ± 3.12 years and a sex ratio of 0.41. The prevalence of smartphone addiction was 30.2% (95% CI: 26.0% - 33.79%). Associated factors with smartphone addiction included academic repetition(OR = 4.30; 95% CI [1.38 - 13.42]), fast food consumption scores (OR = 1.55; 95% CI [1.21 - 2.00]),addiction to the Facebook social network (OR = 6.36; 95% CI [1.92 - 21.07]), cohabitation with colleagues (OR = 2.13; 95% CI [1.03- 4.43]), cohabitation with family members(OR = 2.10; 95% CI [1.01 - 4.36]) and stress level (OR = 1.13; 95% CI [1.07 - 1.18]). Conclusions This study identified associations between smartphone overuse and other behavioral and mental health indicators. Based on these findings, several interventions should be undertaken to address this growing concern. Key messages • The prevalence of smartphone addiction among medical students in the University of Monastir was 30.2% (95% CI: 26.0% – 33.79%). • The main associated factors with smartphone addiction were academic repetition, fast food consumption, addiction to Facebook, cohabitation with colleagues and with family members and stress level.

The relationship between sleep quality, depression, and smartphone addiction in pregnant women: a mediation analysis

ABSTRACT In recent years, the prevalence of smartphone addiction has significantly increased. This situation has raised concerns about its potential impact on health aspects, such as sleep quality and mental health, particularly among vulnerable populations like pregnant women. This study aimed to identify the factors that determine sleep quality in pregnant women and examine the relationship between smartphone addiction, depression, and sleep quality. This descriptive correlational study included 257 pregnant women in their second and third trimesters who were registered at six family health centers between September 2022 and March 2023. Data were collected using a sociodemographic questionnaire, the Smartphone Addiction Scale Short Form, Edinburgh Postnatal Depression Scale, and Pittsburgh Sleep Quality Index. Regression and mediation analyses were performed for the data. Of the participants, 44.4 percent had poor sleep quality. Depression and third trimester were significant determinants of sleep quality. The bootstrapping results revealed that smartphone addiction led to an increase in the level of depression (β = 0.145; p < .001). Depression worsened sleep quality (β = 0.262; p < .001). The smartphone addiction did not significantly affect sleep quality (β = 0.020; p = .279). Depression mediates the relationship between sleep quality and smartphone addiction (β = 0.038; 95 percent CI [0.018: 0.062]). The study highlights that while smartphone addiction does not directly impact sleep quality in pregnant women, it is associated with increased depression levels, which subsequently worsen sleep quality. It is recommended that healthcare providers monitor smartphone usage and mental health in pregnant women to mitigate the risk of sleep disturbances and improve overall well-being.

The Prevalence of Smartphone Addiction and Its Associated Risk Factors among School Students of a Metropolitan City: A Cross-Sectional Study

Background: Smartphone is a term used to distinguish cell phones with advanced features from basic feature phones. Smartphone addiction is a phenomenon that pertains to uncontrollability of smartphone use. The increasing use of smartphones and easy availability of smartphones to school children after Covid-19 Pandemic were the reasons for conducting this study. Aims - To estimate the prevalence of smartphone addiction among school children and its associated risk factors Methods: This was a cross-sectional study conducted on English middle-school students of Mumbai, involving students from secondary section i.e.,6th to 10thgrade. Data were collected by interview using a pre-structured questionnaire, and all the students were asked to fill out smartphone addiction questionnaire i.e. Smartphone Application Based Addiction Scale (SABA). Then, data were entered into Microsoft EXCEL and analysed using SPSS. Results: The mean age of 275 participants, was 13.1, and the prevalence of smartphone addiction in the present study was 45.5%. Addiction was significantly associated with age (P value 0.000), gender (P value 0.004), self-owned phone (P value 0.03), duration of time spent on phone on weekdays(P value 0.000) and weekends (P value 0.000), having social media accounts(P value 0.000),and the time spent on social media (P value 0.042). On applying logistic regression, female gender and the time spent on social media were the major risk factors. Conclusions: The risk factors associated with addiction are age, female gender; owning a smartphone, increased time spent on phones on weekdays and weekends, having social media accounts and excessive time spent on social media applications.

Smartphone Addiction and Sleep Quality among Medical Students

The availability of smartphones and their multi-functionality make them indispensable devices in day-to-day life, especially among students. When smartphone use goes beyond necessity and turns into addiction, the consequences can affect various aspects of life such as mental health, sleep quality, and academic performance. The focus of this research was assessing the presence of smartphone addiction and its association with sleep quality among medical students of the University of Novi Sad. In this cross-sectional study, using the Smartphone Addiction Assessment Scale (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI), an online survey method, we included 119 medical students, mean age 21.5 (SD±2.8), from of which 75.6% were female students. The obtained results indicate the absence of smartphone addiction (SAS-SV=25.6; SD ±9.1) and the presence of poorer sleep quality (PSQI=5.9; SD±3.3). The prevalence of smartphone addiction was 21%, while the prevalence of poor sleep quality was around 46%. The established moderate positive, statistically significant, correlation between the scores of the questionnaire indicates that increasing the presence of smartphone addiction can worsen the sleep quality in medical students. The need for further research on this subject, on a wider, more representative sample, was recognized. As the complexity of the study program dictates the characteristic lifestyle of students, timely education and raising awareness of the potential risks of behavioral addictions is considered desirable, even necessary.

Effect of smartphone addiction on mental health and sleep quality among undergraduate pharmacy students in a Nigerian public university

PurposeThe purpose of this study was to explore the relationship between smartphone addiction, mental health and sleep quality among undergraduate pharmacy students in a Nigerian public university.Design/methodology/approachA cross-sectional study was conducted among undergraduate pharmacy students in a Nigerian university. Data was collected using self-administered questionnaires, including Smartphone Addiction Scale-Short version, Patient Health Questionnaire, Generalized Anxiety Disorder Scale and Pittsburgh Sleep Quality Index. The data obtained were analyzed using descriptive statistics, the chi-square test and the Pearson correlation. Probability values less than 0.05 were considered statistically significant.FindingsA total of 410 undergraduate pharmacy students participated in the study, giving a response rate of 95.57%. The prevalence of smartphone addiction, depression and anxiety symptoms were 40.24%, 28.30% and 23.66%, respectively. Most students had poor sleep quality (96.10%). The prevalence of smartphone addiction had a moderate positive correlation with the severity of depression (r = 0.363, p < 0.01) and anxiety (r = 0.261, p < 0.01) symptoms. Nevertheless, smartphone addiction showed no connection with sleep quality (r = 0.022, p = 0.663).Research limitations/implicationsThe study was conducted in a single public university in Nigeria, hence this might limit its generalizability. The provision of mental health support within universities could help address the high prevalence of smartphone addiction, mental health issues and poor sleep quality.Originality/valueTo the best of the authors’ knowledge, this was the first study to examine smartphone addiction among pharmacy students in a resource-limited setting with multicultural and multiethnic groups.

Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students.

The incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder. Furthermore, it provides the scientific basis for intervention measures in schools, families, and society. A random cluster sampling method was applied to investigate 656 medical students from grades 1 to 4 at Wannan Medical College in Anhui province, People's Republic of China. The questionnaire consisted of general information, a smartphone addiction scale, an Internet gaming disorder scale, and a Kessler 6-item psychological distress test. The obtained results were first summarized using descriptive statistics. The Chi-square test was used to compare the status of smartphone addiction. Binary logistic regression was used to analyze the relationship between smartphone addiction and various variables. Our results showed that the prevalence of smartphone addiction in medical students was 49.5% (325/656). Psychological distress (p < 0.001), internet gaming disorder (p < 0.001), and childhood trauma (p = 0.001) were highly correlated with smartphone addiction in medical students. Psychological distress, and internet gaming disorder were positively associated with smartphone addiction (p < 0.000). The prevalence of smartphone addiction is high among medical students in Chinese. Smartphone addiction is highly related to related to internet gaming disorder and psychological distress.

Prevalence of Smartphone Addiction and its Relationship with Obesity among Young Adults: A Cross-sectional Study from Delhi, India.

Smartphone addiction (SA) has emerged as an important health concern worldwide. Recent studies have recognized SA as one of the factors that promote sedentarism and can contribute to obesity. However, the relationship between SA and obesity among Indian young adults remains understudied. The present study aims to estimate the prevalence of SA and explore its association with general and central obesity among young adults in Delhi, India. This cross-sectional study was conducted among 246 young adults (aged 18-30 years) of either sex (60.16% females) from Delhi. Screening for SA was done using the Smartphone Addiction Scale-Short Version. Somatometric measurements (height, weight, waist circumference, and hip circumference) were taken to determine general and central obesity. SA was prevalent among 25.2% of the participants. The prevalence of SA was higher among males and undergraduate students than among females and postgraduate/MPhil/PhD students, respectively. Further, SA was not associated with any of the obesity variables. Interestingly, smartphone addicts were found to have a 2.5-fold increased risk of being underweight. Though SA was not associated with obesity, it was found to be associated with being underweight, indicating a relationship between smartphone use and nutritional status among young adults.

Smartphone Addiction and Related Factors among Athletes.

Smartphone addiction (SA) is increasing worldwide. The aim of this study is to determine the level of SA in athletes affiliated to the Turkish Handball Federation in Izmir and to examine its relationship with factors such as sociodemographic status, health status, eating attitude, and body perception. This cross-sectional study was conducted in March-April 2021 in Izmir Province. The sample of the study consisted of 212 licensed handball athletes. The short SA scale, three-factor nutrition scale, and body perception scale were used. A chi-square test was used for bivariate comparisons and logistic regression analysis was used for multivariate comparisons. The study was completed with 202 individuals (the coverage rate was 95.3%). The prevalence of SA was found to be 27.7%. The risk of SA increased 2.49-fold (CI: 1.17-5.31, p = 0.018) in female participants, 2.01-fold (CI: 1.01-4.06, p = 0.048) in participants with alcohol use, 2.17-fold (CI: 1.04-4.58, p = 0.042) in participants with low nutritional scores, 2.65-fold (CI: 1.15-6.10, p = 0.022) in individuals with high-income status, and 2.66-fold (CI: 1.07-6.64, p = 0.036) in individuals with high body perception scale score. In total, 27.7% of the athlete sample had scores above the SA threshold. These results point out that a behavioral addiction such as SA can occur even in professionals of an activity such as sports, known for beneficial effects in terms of healthy life.

The Prevalence of Smartphone Addiction and Its Relationship with the Level of e-Health Literacy in Medical Sciences Students

Introduction: Smartphone addiction has increased in recent years, especially with the onset of COVID-19 among students. It is possible that as the level of eHealth literacy increases among students, their addiction to smartphones decreases. This study aims to investigate this hypothesis.Material and Methods: This cross-sectional study was conducted on 390 medical sciences students. Two standard questionnaires were used to gather data. The first questionnaire was the Smartphone Addiction Inventory Scale, and the second questionnaire was the eHealth Literacy Scale. Data were analyzed using descriptive and analytic statistics.Results: There was no significant relationship between the gender of the participants and the mean scores of smartphone addiction or eHealth literacy. However, the relationship between the age of the participants and the mean scores of smartphone addiction or eHealth literacy was significant. Only the relationship between the educational level of the participants and the mean scores of smartphone addiction was significant. The correlation between smartphone addiction and eHealth literacy in students was not significant.Conclusion: Age and educational level were significant factors influencing smartphone addiction. To decrease smartphone addiction and increase eHealth literacy, educational programs should be implemented for medical science students, who play a crucial role as future guardians of health.

Does Smartphone Addiction Impair Maximal Exercise Capacity in Young Adults?

Purpose: Smartphone addiction may reduce the time allocated for physical activity participation. However, it is not known if there is a direct association between smartphone addiction and reduced exercise capacity. Our aim was to investigate whether smartphone addiction impairs maximal exercise capacity, as well as analyzing its influence on the perceived benefits of exercise and physical activity habits in young adults.&#x0D; Material and Method: Forty-six volunteers were evaluated by a symptom-limited incremental exercise test. Smartphone addiction of volunteers was evaluated using Smartphone Addiction Scale- Short Form. Physical activity participation and perceived benefits of physical activity participation were evaluated using International Physical Activity Questionnaire- Short Form and Exercise Benefits/Barriers Scale, respectively.&#x0D; Results: Prevalence of smartphone addiction was 65% in young adults. No significant association was detected between smartphone addiction and any of maximal exercise capacity metrics including test duration, maximum workload achieved in watts or maximum heart rate (p&gt;0.05). Smartphone addiction did not correlate to physical activity participation either (p&gt;0.05). Univariate linear regression revealed Exercise Benefits/Barriers Scale score was able to explain 41% of variance in exercise test duration and 37% of variance in maximal workload (p

Psychosocial Impact of Smartphone Addiction among University Student: A Review

The prevalence of smartphone addiction among university students has raised concerns about its potential implications on their mental health, academic performance, and interpersonal relationships. This review aims to address the existing gap in the literature and shed light on the psychosocial impact of smartphone addiction in this crucial phase of young adults’ lives. A systematic approach was employed to identify and analyse relevant studies from reputable databases. The selection criteria encompassed studies published between January 2009 and December 2022, in university students. The review synthesises findings from 32 selected studies to present a comprehensive analysis of the psychosocial impacts of smartphone addiction. The results indicated significant associations between excessive smartphone use and adverse mental health outcomes, including increased levels of anxiety, depression, and stress among university students. Furthermore, smartphone addiction negatively influences academic performance, decreasing face-to-face communication and social isolation.

Effect of Smartphone Usage during Night Time on Sleep Patterns of Young Adults: A Cross-sectional Observational Study

Introduction: Excessive smartphone usage among adolescents and young adults has been consistently linked to poor sleep. Moreover, smartphone overuse has been associated with daytime tiredness, longer sleeps latency, and reduced sleep duration. The significance of addressing poor sleep among adolescents and young adults is underscored by recent research linking it to adverse physical and psychological health outcomes, such as mood disturbances, impaired cognitive function, and increased risk incidence of hypertension and diabetes. Aim: To evaluate the effects of smartphone usage on sleep quality among individuals using Pittsburgh Sleep Quality Index (PSQI) and hypnogram data. Materials and Methods: In this cross-sectional observational study, sleep patterns were assessed using the PSQI questionnaire and Prime Nap sleep tracker app (version 1.1.4). The study was conducted by Deccan College of Medical Sciences, Hyderabad, Telangana, India. The data was collected in the form of a hypnogram and the study was conducted in the participants’ homes (under domicile conditions) in the city of Hyderabad, Telangana, India from March 2020 to April 2020. A total of 60 participants (both male and female) in the age group of 15-25 years were recruited and divided into two groups: one comprising 30 individuals with regular prolonged exposure to smartphone screens at night, and the other consisting of 30 individuals who experienced minimal or no smartphone exposure once they prepared to sleep. Descriptive statistics were applied to the collected data using Microsoft Excel and IBM Statistical Package for Social Sciences (SPSS) for Windows version 25.0. Results: Adding up the average scores of the seven factors gives a global PSQI score from 0 to 21, with 0-4 indicating good sleep and 5-21 indicating poor sleep. Among those who used smartphones regularly at night time, 20 participants (66.67%) had PSQI score &gt;5 and poor sleep quality, 24 participants (80%) had prolonged sleep latency, 18 participants (60%) had poor sleep duration, 27 participants (90%) had sleep disturbances, and 22 participants (73.33%) had increased daytime dysfunction. Hypnogram abnormalities were seen in &gt;15 participants (50%) of subjects. Conclusion: The prevalence of smartphone addiction is widely acknowledged in the medical literature, highlighting the need for its assessment, especially among adolescents and young adults. The study reveals that poor sleeping habits among participants were attributable either to a lack of awareness or neglect. By recognising the importance of adequate sleep, improvement in the quality of daily activities can be made by reducing daily screen time, consequently alleviating both physical and mental stress. Furthermore, the findings have implications for individuals whose work involves prolonged exposure to computer screens, especially during night time.

Relationship between depression, anxiety, stress and smartphone addiction in COVID-19 nursing students.

to verify the relationship between symptoms of depression, anxiety, stress and smartphone addiction in COVID-19 nursing students. this was a descriptive-analytical study of 206 nursing students. A sociodemographic characterization and smartphone use instrument adapted from the literature and the following scales Depression, Anxiety and Stress Scale and Smartphone Addiction Inventory were used for data collection. Sociodemographic data and smartphone use were analyzed using descriptive statistics and the relationship between symptoms of depression, anxiety, stress and smartphone addiction was analyzed using multiple logistic regression. the prevalence of smartphone addiction among nursing students was 129 (62.6%) and there was a relationship between symptoms of moderate depression (p=0.049), severe/very severe depression (p=0.005) and mild anxiety (p=0.028) and severe/very severe anxiety (p=0.019) and smartphone addiction. the data show that the construction and implementation of smartphone use policies in the academic and hospital context to prevent smartphone addiction and control associated risk factors is necessary. (1) High prevalence of smartphone addiction among nursing students. (2) There was a relationship between symptoms of depression, anxiety and smartphone addiction. (3) Nursing has a leading role in identifying and managing addictions. (4) A multidisciplinary approach to the prevention and management of smartphone addiction. (5) Smartphone addiction in nursing students is a new issue in Brazil.

Prevalence of Smartphone Addiction and its Association with Impulsivity among Undergraduate Medical Students

Aim: With the increasing ubiquity of smartphones and their integral role in modern life, understanding the factors contributing to smartphone addiction, especially in high-pressure academic environments, is crucial. Objective: This study investigates the prevalence and determinants of smartphone addiction among undergraduate medical students in Pakistan. With This research specifically explores the relationship between impulsivity, stress levels, social pressures, and smartphone addiction. Methodology: A structured questionnaire survey, comprising validated scales for each construct, was administered to a sample of undergraduate medical students across various years of study. The study employs a cross-sectional design and uses stratified random sampling for data collection. Results and Findings: The results indicate a significant positive association between impulsivity and smartphone addiction. Furthermore, stress levels and social pressures were also found to be positively correlated with smartphone addiction, suggesting a multifaceted nature of this issue. These findings contribute to the growing body of literature on digital addiction and offer practical insights for educational institutions and policymakers. The study highlights the need for holistic intervention strategies addressing both personal traits and environmental factors to mitigate smartphone addiction. The limitations of the study and recommendations for future research are also discussed. Keywords: Smartphone Addiction, Impulsivity, Stress Levels, Social Pressures, Undergraduate Medical Students, Digital Addiction, Pakistan

Smart phone addiction and its mental health risks among university students in Jordan: a cross-sectional study

BackgroundAddiction to smart phones is classified clinically as behavioral addiction resulted from an excessive problematic usage of smart phones that effect the daily life of the users. Therefore, this study aims to explore the prevalence of smart phone addiction, its associated psychological distress risk, and its associated predictors among university students in Jordan.MethodsBetween November 2022 and January 2023, a cross-sectional online survey study was conducted in Jordan. In this study, we used previously developed questionnaire instruments, the psychological Distress scale of Kessler and the Smartphone Addiction Scale. A score of 30 was used to identify the dummy variable in the binary logistic regression analysis to identify predictors of severe psychological distress, and smartphone addiction score of 38.7 was used to to identify predictors of smartphone addiction.ResultsA total of 2337 university students participated in this study. The mean psychological distress score for the study participants was 30.0 (SD: 8.9). More than half of the study participants (59.1%) had a psychological distress score of 30 and above, which indicates a severe mental disorder state. More than half of the study participants (56.7%) had a smartphone addiction score of 30 and above, which reflects a smartphone addiction state. Females, divorced, those who feel that their mental abilities have been negatively affected by the use of smart phones, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to have severe psychological distress compared to others (p < 0.05). Females, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to be smartphone addicted compared to others (p < 0.05).ConclusionMental diseases are a major public health concern in Jordan, especially among university students. Females, those who thought smartphone usage hurt their mental capacities, and those who had trouble sleeping and fatigue were more likely to develop serious psychological discomfort and smartphone addiction. Smartphones are indispensable, but excessive use can lead to addiction and harm university students’ mental health.

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students.

Studies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia). The cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's t-test, and logistic regression, were employed to examine the relationship between smartphone addiction, physical activity, sleep quality, depression, anxiety, and stress. The findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males (p = 0.032). Univariate logistic regression analysis revealed significant associations between smartphone addiction and spending over 4 h daily on smartphones (OR = 2.39; p < 0.001), poor sleep quality (OR = 1.65; p = 0,005), as well as elevated levels of stress (OR = 1.75; p = 0.003), anxiety (OR = 2.04; p < 0.001), and depression (OR = 2.29; p < 0.001). Multivariate regression analysis identified spending more than 4 h daily on smartphones (OR = 2.39; p < 0.001) and increased levels of depression (OR = 2.51; p < 0.001) as independent significant factors associated with smartphone addiction. This study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.

Relationship between smartphone addiction and eating disorders and lifestyle among Chinese college students.

Smartphone addiction has been a matter of serious concern among society and parents because of its high incidence and serious negative effects. This study aimed to determine the association between smartphone addiction and eating disorders and lifestyle changes among college students. The present article is a descriptive, cross-sectional study involving 1,112 college students from several universities in Chengdu, China. The data were collected by using the Chinese version of the Mobile Phone Addiction Index (MPAI) and the Eating Attitudes Test-26 (EAT-26). In addition, the information on sociodemographic, lifestyle, and smartphone use were obtained through a self-administered questionnaire. The prevalence of smartphone addiction among the students involved in the study was 22.6%, of which 10.4% were at risk for eating disorders. Female students had higher MPAI scores and EAT-26 scores than male students (p < 0.001). The proportion of male students with a risk of eating disorders was significantly higher than that of female students (p < 0.05). The total EAT-26 scores of students with smartphone addiction were higher than that of others (p < 0.001). The correlation analysis indicated that the MPAI scores were significantly positively correlated with the EAT-26 scores, depression and anxiety, difficulty in falling asleep at night, the frequency of eating fast food and drinking carbonated soft drink (p < 0.01). In addition, the MPAI scores were significantly negatively correlated with skipping breakfast and the frequency of physical activity (p < 0.05). Smartphone addiction is significantly associated with eating disorders, eating habits, and lifestyle. The influence of dietary habits and lifestyle needs to be considered for the prevention and development of an intervention for smartphone addiction among college students.

Nomophobia and smartphone addiction amidst COVID-19 home confinement: the parallel mediating role of digital gaming and social media tools usage across secondary school students.

With the inevitable technological boom enforced by the COVID-19 lockdowns and online emergency remote teaching practices, the prevalence of nomophobia (NMP) and smartphone addiction (SA) among adolescents has become a pressing issue, which has come under scrutiny. However, the impact of social media tools usage (SMTU) and digital gaming behavior (DGB) on these phenomena remains unclear since there is little research focusing on the complex interplay among these variables. Regarding this context, the present study aimed to explore the parallel mediating role of secondary school students' SMTU and DGB in the relation between NMP and SA. In line with this aim, we employed a cross-sectional design with a critical case sampling strategy and collected data through an online survey from a total of 427 secondary school students in Istanbul in the 2021-2022 academic year. In order to test the parallel mediation model, we employed multiple linear regression models by utilizing PROCESS models with 5000 BC bootstrap samples and 95% CI. Results illustrated that there was an increase in the prevalence of NMP and SA during the COVID-19 home confinement as consistent with the previous research. The results also indicated that among the multiple mediators, the mediating role of SMTU was significant in the relation between NMP and SA. This means NMP has direct and indirect significant impact on SA through SMTU. However, the mediating role of DGB was found nonsignificant in this relationship. Our results are robust and hold key contributions to both theoria and praxis in educational psychology research realm by disentangling the complex underlying mechanism between NMP, SMTU, DGB, and SA. On the practical side, our results provide insightful implications for school boards and researchers in the development of effective interventions.

Smartphone Use and Addiction among Pharmacy Students in Northern Thailand: A Cross-Sectional Study.

In Thailand and worldwide, smartphone addiction among university students is a growing concern. This study aims to investigate behaviors of smartphone use, the prevalence of smartphone addiction, the duration of smartphone use, and their associated factors among pharmacy students at a university in northern Thailand. This cross-sectional study was conducted using an online self-administered questionnaire to collect data from January to February 2021. Smartphone addiction was measured using the Smartphone Addiction Scale: Thai Short Version (SAS-SV-TH). Of 281 students (70% female, average age of 21.1 (2.0), year 1 to 5), 87% used smartphones and tablets. Their average time spent on a smartphone was 7.5 (±3.1) hours daily on weekdays and 8.1 (±3.1) on weekends. The top three reasons for using smartphones were social networking (92.9%), education (90.3%) and entertainment (89.6%). Health-related problems associated with smartphone use were insomnia (51.3%), anxiety (41.3%), headache (38.8%) and stress (38.4%). The prevalence of smartphone addiction was 49% (95% CI: 44-55%); the associated factor comprised time spent on smartphones (>5 h/day). The prevalence of spending more than five hours daily on smartphones was 75% (95% CI: 70-80%) during weekdays and 81% (95% CI: 77-86%) during weekends; associated factors for during weekdays included a monthly smartphone bill of more than 500 THB (adjusted odds ratio: 4.30 (95% CI: 2.00-9.24) and for senior students (adjusted OR: 3.31 (95% CI: 1.77-6.19). The results remained the same for the weekend. In short, the results show that half of the pharmacy students were addicted to their smartphone; time spent on smartphones (>5 h/day) was associated with addiction. Therefore, university students should be encouraged to adopt healthy habits for smartphone use (such as limiting screen time and maintaining good posture while using a smartphone or tablet) and to increase their awareness of health-related problems.

Prevalence of Smartphone Addiction and its Relation with Depression among School-going Adolescents

Background: Smartphone addiction among adolescents is an increasingly recognized problem worldwide. It affects the psychological well-being of an individual. Aim and objective: The current study aimed to assess smartphone addiction’s prevalence and its relation to depression among adolescents. Methods: This cross-sectional study was conducted among 400 school-going adolescents. Smartphone Addiction Scale - Short version (SAS-SV) and Patient Health Questionnaire (PHQ-9) were used to assess the prevalence of smartphone addiction and depression. Data were analyzed using Epi info software for windows (CDC, Atlanta). Statistical significance was set at p &lt; 0.05. Results: The mean age of study participants was 14.4 years (SD=1.5 years). The prevalence of smartphone addiction was 23%, while depression was present among 45% of the study participants. Comparatively higher duration of smartphone use was significantly associated with smartphone addiction. Depression was significantly higher among smartphone addicts (77.2%) as compared to their counterparts (35.4%). Conclusion and Recommendation: The smartphone usage of adolescents, if not monitored, could lead to its addiction and thus increase the risk of depression among them. To prevent smartphone addiction, limiting children’s screen time is recommended. In this regard, parents can play a pivotal role by becoming responsible digital role models for their children.