Prevalence Of Smartphone Addiction Research Articles

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.
 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.
 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>0.05). Smartphone addiction did not correlate to physical activity participation either (p>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 >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 >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.

Psychosocial Predictors of Smartphone Addiction Among Nigerian Undergraduates

Smartphone addiction may be seen as a way of coping with underlying psychological distress but the long-term effect of excessive smartphone use is a matter of under-researched public health concern, especially among an at-risk population - university students in Nigeria. This study explored the predictive influence of psychosocial factors - shyness, loneliness, social maladjustment, gender and school-related variables on smartphone addiction among students in selected Nigerian Universities. In this cross-sectional survey, data were collected from 498 undergraduates {255 (51.2%) males and 243 (48.8%) females} with a mean age of participants at 18.30 (SD = 2.03), using psychometrically-robust measures of shyness, loneliness, social maladjustment and smartphone addiction. It was hypothesised that high scores on shyness, loneliness and social maladjustment will be associated with higher levels of smartphone addiction and that school-related variables would significantly influence smartphone addiction among university students. Results indicated a 17.1% prevalence of smartphone addiction among the participants. Results also indicated that loneliness (β = 0.20; t = 4.57; p &lt;.05) and social maladjustment (β = 0.26; t = 5.94; p &lt;.05) significantly independently predicted smartphones while shyness did not (β = 0.03; t = 0.69; p &gt;.05). Jointly, the three variables had a significant prediction of smartphone addiction {F (3,491) = 22.93, adj.R2 = .12, p &lt;.01}. It is recommended that psychologists and school counsellors should be more involved in the emotional well-being of university students. Parents and other stakeholders should help students/children by observing those showing signs of loneliness, shyness and social maladjustment, and engaging them in robust, non-evaluative social interactions with a view to minimising resorting to excessive use of smartphones.

Smartphone addiction in medical students: Association with perceived stress, personality factors and loneliness.

Smartphone addiction (SMA) is an emerging concept. It has been associated with high perceived stress. There is a dearth of data on its association with loneliness and personality in the Indian context. We planned this study to estimate the prevalence of SMA in medical students, verify its reported association with perceived stress, and determine its association with personality factors and loneliness. Four hundred and two medical students participated in this cross-sectional study. We used the SMA scale-short version to divide students into those having an addiction and not having an addiction. The Perceived Stress Scale, ten-item personality inventory, and University of California, Los Angeles Loneliness Scale were used to assess perceived stress, personality, and loneliness. Ninety-five percent confidence intervals were reported for all comparisons. The prevalence of SMA in medical students was 34.8%. SMA was associated with higher perceived stress and loneliness. Students having SMA scored lower on personality domains of extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience. Moreover, SMA interfered with students' social life and academic performance. SMA is a cause for concern. We need to plan the awareness campaigns focusing on SMA and its association with social life and academic performance. Researchers need to explore this concept in larger samples and diverse population groups to know its actual magnitude and impact. Moreover, dedicated psychiatric committees need to recommend the guidelines for the judicious use of smartphones.

A cross-sectional study to find out association between smartphone addiction and dry eye disease among medical students in Jamnagar

Background: In the recent times, use of smart phone and multimedia devices is extensive. With prolonged use of smart phones, multimedia devices and social media ophthalmic and psychiatric complications are rising in young population. Aim and Objectives: The aim of the study was to find out prevalence of smartphone addiction and dry eye disease and association between smartphone addiction and dry eye disease in medical students. Material and Methods: This study was conducted in M.P. Shah Government Medical College and included 201 medical students. This was analytical survey-based study. Data collection was done through Google form and the survey included demographic questions, pre-structured smartphone addiction scale-short version, and ocular surface disease index questionnaire. Results: The prevalence of dry eye disease in medical students was 52.73% and the prevalence of smartphone addiction was 20%. In our study, dry eye disease was present in 45% of subjects with smartphone addiction. Conclusion: The prolonged usage of smartphone leads to increased screen exposure time which may be causative factor for ophthalmic problems and dry eye disease. More awareness in adolescent and young population about potential hazards of prolonged screen exposure and smartphone is necessary nowadays.

Prevalence and Factors Associated with Smartphone Addiction among Adolescents–A Nationwide Study in Malaysia

Smartphone ownership among adolescents is getting common in this decade especially in Malaysia; Adolescent are strongly devoted to their smartphone and this may lead to smartphone addiction. Studies have reported that smartphone addiction has become an emerging social and health problem especially among the youth in many countries however there is lack of study among adolescents in Malaysia. This study aimed to examine the prevalence and factors associated with smartphone addiction among adolescents in Malaysia. This was a cross-sectional study involving adolescents from 15 primary care clinics throughout the country. Respondents were assessed on their smartphone activities using the Malaysian short version of the Smartphone addiction scale (SAS-M-SV). Multiple logistic regression was used to determine the predictors of smartphone addiction among adolescents. The study was conducted among 921 adolescents with 49.6% male (n = 457). The mean age of adolescents was 16.4 ± 2.4 years. The ethnicity distribution were 74.6% Malay, 7.3% Chinese, 4.7% Indian and 13.4% other ethnicities. The prevalence of smartphone addiction was 37.1% (342/921); 37.4% in male and 36.9% in female. Based on multiple logistic regression analysis, longer duration of smartphone use per week was associated with higher odds of smartphone addiction among adolescent (odd ratio = 1.005%, 95% confidence interval = 1.000–1.009, p-value = 0.039). Smartphone addiction is present in nearly four in ten adolescents in Malaysia. Adolescents who spend longer duration in smartphone usage per week were associated with higher odds of having smartphone addiction. Parents should be more alert and vigilant about this finding. Hence, parents should limit their children from spending too much of time with smartphone in order to prevent their children from getting smartphone addiction.

Associations of smartphone addiction, chronotype, sleep quality, and risk of eating disorders among university students: A cross-sectional study from Sharjah/United Arab Emirates

ObjectivesAs smartphone addiction (SA) becomes more prevalent among young adults, there is growing concern over its impact on dietary and lifestyle habits, such as disturbed sleep and eating patterns. However, limited literature exists particularly on the association between SA and eating disorders (ED). Thus, this study aims to study the prevalence of SA risk, poor sleeping quality, evening chronotype, and ED risk among university students in the UAE. It also aims to assess the associations between them, emphasizing the one between ED and SA risks. MethodsIn this cross-sectional study, a self-administered online questionnaire was disseminated via convenience sampling. Pittsburgh Sleep Quality Index, Morningness-Eveningness Questionnaire, Eating Attitude Test-26 items, and Smartphone Addiction Scale-Short Version were used to measure sleep quality, chronotype, ED risk, and SA risk, respectively. Descriptive and analytical statistics were applied, and P < 0.05 was considered for statistical significance. ResultsOut of 552 students (mean age: 21.2 ± 5.1 years), 71% had poor sleep quality, 33.9% reported evening chronotype, 37.9% had ED risk, and 56.2% had SA risk. SA risk was significantly associated with both poor sleep quality (OR = 2.93; 95% CI: 2.01–4.29; p < 0.001) and evening chronotype (p = 0.005). ED risk was significantly associated with poor sleep quality (p < 0.001). Poor sleep quality predicted ED risk best. ConclusionHigh prevalence of SA, ED risk, and poor sleep quality was reported among university students in the UAE. Associations between poor sleep quality, evening chronotype, SA risk, and ED risk were further confirmed, with sleep quality predicting ED risk.

Prevalence of Smartphone Addiction and Its Association with Sociodemographic, Physical and Mental Well-Being: A Cross-Sectional Study among the Young Adults of Bangladesh

Smartphones have made our lives easier and have become indispensable for everyday life; however, their uncontrolled and excessive use can trigger "smartphone addiction" (SA). SA is a rising public health issue, particularly among young people around the world. There is a dearth of empirical research about SA and its impacts on young adults, particularly in developing countries such as Bangladesh. This cross-sectional study is an attempt to fill this gap. The data were collected from 440 eligible young adults in Bangladesh using an online survey between July 2021 and February 2022. Study results revealed that 61.4% of the young adults were addicted to their smartphone. Logistic regression analysis showed that being male, aged ≤25, unemployed and living with a large family size (≥8) were the significant sociodemographic predictors of SA. Smartphone-addicted participants were more likely to be less physically active, suffer from insomnia, be overweight or obese and use their phones while driving, walking and eating. In addition, the SA group were more likely to have physical and mental well-being problems. This study brings to light significant implications for policy makers and indicates a need for an SA community awareness programme which aims to reduce SA at the societal level.

The association between academic achievement, psychological distress, and smartphone addiction: A cross-sectional study among medical students

ABSTRACT This study investigates the relationship between academic achievement, psychological distress, and smartphone addiction in medical students. In total, 513 medical students voluntarily completed a survey that included the Personal Information Questionnaire, the Smartphone Addiction Scale-Short Version (SAS-SV), the Depression, Anxiety and Stress Scale (DASS-21), and the Interaction Anxiousness Scale (IAS). Results showed that 321 participants were screened positive for smartphone addiction and the prevalence of smartphone addiction was 62.6%. We found that the prevalence of smartphone addiction was higher among male rather than female students (67.1% vs 58.2%; p = 0.039). There were significant differences between the smartphone addiction group and the smartphone non-addiction group as per the DASS-21 scores and the IAS scores. In addition, multiple regression indicated that psychological distress including anxiety, stress, depression, and social anxiety might be the predictors of smartphone addiction. However, smartphone addiction was found to have no significant correlation with academic performance in 274 undergraduate medical students. In conclusion, the study revealed the high prevalence of smartphone addiction in medical students. Smartphone addiction was associated with states of depression, anxiety, stress, and social anxiety, and there was no significant relationship between academic performance and smartphone addiction in undergraduate medical students. Further longitudinal research is needed to clarify the causal relationship between smartphone addiction and psychological distress.