Smartphone Addiction Scale-Short Version Research Articles

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.

CORRELATION OF SMARTPHONE ADDICTION WITH TEXT NECK SYNDROME DURING COVID-19 PANDEMIC

Background: Smartphones pervasiveness has captured people with the ability to search for information, communicate more easily, and make our day-to-day jobs easier. On the other hand, excessive smartphone use can also lead to serious musculoskeletal consequences including neck pain and disability. Objective: To determine the correlation of Text-Neck-Syndrome with smartphone addiction during the COVID-19 pandemic. Methods: The cross-sectional study was conducted on n=500 participants of both genders between 20 to 30 years olds. The study population were assessed for text next syndrome with Neck disability index, and neck pain on Visual analogue scale (VAS) and Smartphone addiction scale short version (SAS-SV) to find problematic smartphone usage. The spearmen test was used to determine the correlation between the Text neck syndrome and smartphone addiction during Covid-19 pandemic. Results: The mean age of the participants was 22.8±2.47 years. A total of n=418(83.6%) were female and remaining n=82(16.4%) was male participated in the study. The results showed that there is significant mild to moderate positive significant correlation (p<0.05) between individual item and total score of SAS-SV with pain and neck disability. Conclusion: It was concluded that the excessive use of smart phone during COVID 19 caused neck pain and related functional impairment. Keywords: Addiction, neck disability, neck pain, text neck syndrome, VAS

Cyberbullying and its Relationship with Smartphone Addiction

Smartphone and internet overuse can result into severe problems in users’ personal and social lives. In this backdrop, the present study aims to find the relationship between cyberbullying and smartphone addiction among BBA students. Participants were 123 males and 157 female students whose ages ranged from 17 to 29 years. The questionnaire with Smartphone Addiction Scale- Short Version (SAS-SV) and Revised Cyber Bullying Inventory-II (RCBI-II) were used to assess the smartphone addiction and cyberbullying respectively by using a convenience sampling method. The cyberbullying perpetration was reported by nearly 30% respondents and more than 60% respondents were victimized by cyberbullying. The password hacking and sending embarrassing and hurtful messages were common in cyberbullying. The study found that male students were significantly involved in cyberbullying perpetration. The study further revealed that time spent on smartphone in a day was significantly associated with both cyberbullying perpetration and cyberbullying victimization. This study found significantly positive correlation between smartphone addiction, cyberbullying perpetration and cyberbullying victimization. These results suggest the need to develop educational programme to educate the students to use smartphone effectively and safely to prevent cyberbullying.

Smartphone Addiction and Social Appearance Anxiety as Predictors of Junior High Students’ Need to Make a Good Impression

The aim of the present study is to investigate the relative contribution of smartphone addiction and social appearance anxiety as well as age and gender in predicting early adolescents' need to make a good impression. 382 students (50% girls) from two junior high schools answered the Smartphone Addiction Scale-Short Version, the Social Appearance Anxiety Scale and the Need for Social Approval Scale. As a result of the regression analysis, age, gender, smartphone addiction and social appearance anxiety contributed significantly to explain 38% of the variance in adolescents' need to make a good impression. Social appearance anxiety was found to be the strongest predictor of the need to make a positive impression in early adolescents. A moderate positive relationship was found between smartphone addiction and the need to leave a positive impression. While age was negatively related to the need to make a good impression, girls were found to have a higher need to make a good impression than boys. Examining the model with regression diagnostics, it was concluded that it is a reliable model that can be generalized to the population.

The association between problematic smartphone use and the severity of temporomandibular disorders: A cross-sectional study.

To evaluate the prevalence of different types of temporomandibular disorders (TMD) symptoms in young adults and determine their associations with problematic smartphone use (PSU). The data of the study were collected from local university students through an online questionnaire survey. Demographic information, Fonseca Anamnestic Index (FAI), Smartphone Addiction Scale-Short Version (SAS-SV), and Patient Health Questionnaire-4 (PHQ-4) responses were gathered electronically and analyzed using multiple logistic regression analysis. There were 163 male and 307 female respondents were participated in this study. The prevalence of PSU and TMD were 83.6% and 66.4%, respectively. There was a moderate statistical correlation between PSU and TMD among young adults (r = 0.31, p < 0.01). The logistic regression model revealed that the risk of TMD was 1.77 times higher in people with PSU than in those without PSU (OR = 1.77; 95% CI 1.04-3.06). PSU is a risk factor for pain-related TMD (OR = 1.81; 95% CI 1.08-3.04) but not intra-articular TMD. Subjects showed high prevalence of both TMD and PSU. People with PSU experienced more severe and frequent pain-related rather than intra-articular TMD symptoms than those without PSU. By reducing the problematic smartphone use, the risk factor of TMD might be avoided.

KECANDUAN GADGET PADA REMAJA PASCA PEMBELAJARAN DARING DI MASA PANDEMI COVID 19

Online learning during the Covid-19 pandemic resulted in excessive use of gadgets in adolescents which could have negative impacts. The results of a preliminary study on 10 teenagers in Bandung showed that most teenagers often shared their gadgets compared to socializing with their families. The purpose of this study was to determine the categories of gadget use among adolescents after online learning during the Covid-19 pandemic. This type of research was a quantitative descriptive study. The population of this research was all high school students in Bandung. The research sample consisted of 341 students from three schools that were randomly selected, with the inclusion criteria being teenagers who had gadgets and participated in online learning and the exclusion criteria for teenagers with special needs. The data collection technique was by measuring gadget addiction categories using the adapted Smartphone Addiction Scale Short Version. Validity and reliability tests were carried out on 30 respondents using the Pearson Product Moment correlation technique with a calculated R-value of each item above 0.361 which indicated that each item in the questionnaire was valid. The reliability test used Cronbach's Alpha with the result of Cronbach's Alpha value of 0.741 which indicated that the instrument in this study was reliable. Data analysis used univariate analysis. The results of the study found that 69.5% of adolescents were in the addiction category and 30.5% of adolescents were in the non-addicted category. It is recommended for teenagers, parents, and schools understand prevention and self-control in using gadgets.

Smartphone use and social media addiction in undergraduate students

Background: Children’s use of social media has increased significantly over the past decade. As a result, they are susceptible to smartphone addiction. In particular, parents' and children's well-being and behaviors are negatively affected by smartphone addiction. Such addiction likely affects both physical performance and lifestyle. Adolescents utilize their smartphones while performing other tasks. The secondary task might divert attention away from the primary task. Reaction time is the combination of brain processing and muscular movement. Texting or communicating on a smartphone while performing another task may affect reaction time. Thus, the purpose of this study was to explore the influence of smartphone use on reaction time in undergraduate students who were addicted to smartphones. Methods: The Smartphone Addiction Scale-Short Version (SAS-SV) was used to assign 64 undergraduate students to the smartphone addiction group (n = 32) and the control group (n = 32). The reaction time (RT) of an organism is used to determine how rapidly it responds to stimuli. All participants were examined on the RT test under three conditions: no smartphone use (control), texting, and chatting on a smartphone. Participants were questioned by smartphone through text message or chat with the support of a researcher during the texting and conversation conditions. While responding to the questions, the participant was administered an RT test. Results: The results showed that smartphone addiction tends to have a reduced influence on reaction time when compared to the control group. Also, texting or conversing on a smartphone while doing other work had a substantial impact on reaction time in the undergraduates. Conclusions: Combining smartphone use with other activities tends to reduce undergraduate students' reaction time.

Problematic smartphone use on mental health: a systematic mapping study and taxonomy

ABSTRACT Although many benefits emerge from the growing capabilities of smartphones, there are also concerns related to the long-term hyper-connected experience. Based on a systematic mapping method, this study investigates the primary factors of problematic smartphone use (PSU). Initially, this mapping considered ten academic databases, which allowed the analysis of 436 studies, and the creation of a taxonomy that categorises technology addiction topics such as the Internet, Smartphones, Video games, and Electronic devices. After the initial search and filtering, the study selected and deeply analysed 115 articles concerning the PSU influences on mental health, proposing a taxonomy to classify mental disorders and common symptoms related to PSU. The outcomes suggest that those who fear missing out on important events, females, depressed, anxious, and bored people are prone to PSU, reinforcing the importance of understanding the factors that lead a person to use smartphones in a problematic way and alternatives to help people cope with PSU. Scales such as the Smartphone Addiction Scale-Short Version (SAS-SV) and strategies such as cognitive-behavioural therapy (CBT) and limiting smartphone access are being used to handle PSU. Finally, this study presents implications and recommendations for future research in this area.

Psychometric properties of the Smartphone Addiction Inventory - Short Form (SPAI-SF) in Brazilian adolescents

The Smartphone Addiction Inventory - Short Form (SPAI-SF) is shorter version (10 items) of the original version of SPAI (26 items). In this study, we aimed to: (i) adapt and test the internal structure of the SPAI-SF, using confirmatory factor analysis (CFA), multigroup confirmatory factor analysis (MGCFA), and network analysis; (ii) analyze the internal consistency, temporal stability, criterion, predictive and construct validities of the SPAI-SF. A total of 392 adolescents (M = 12.76; SD = 1.00) completed the following measures: demographic questionnaire, SPAI-SF, Smartphone Addiction Scale - Short Version (SAS-SV), and the Internet Addiction Test (IAT). The CFA showed good fit indices with the original four factors, and MGCFA indicated measurement invariance for gender. Network analysis provided an understanding of the core symptoms of problematic smartphone use (PSU) for both boys and girls. The intraclass correlation coefficient (ICC) was 0.865 (95% CI: 0.841 - 0.887) and indicated a robust temporal stability. The instrument demonstrated acceptable overall reliability measured by Cronbach's alpha and McDonald's Omega criteria (α = 0.722; ω = 0.725) and did not show floor and ceiling effects. The scale's significant correlations demonstrated convergent and criterion validities of the SPAI-SF with SAS-SV, IAT, and Smartphone usage data. The SPAI-SF is a reliable instrument to detect PSU in adolescents.

The Italian version of the mobile phone problematic use scale for adults (MPPUS): A validation study

The Mobile Phone Problematic Use Scale (MPPUS) is a self-report measure developed to identify the problematic use of mobile phones (PSU) among adults. The purpose of this study was to create an Italian version of this scale. A sample of 568 Italian adults completed the MPPUS, presented in association with another validated scale for the assessment of smartphone addiction.We carried out exploratory factor analyses on the MPPUS. Findings emphasised that the Italian version of the MPPUS fits a bi-factor model, in which the general factor ‘PSU’ was found, including two additional specific factors (i.e., ‘Withdrawal and social aspects’ and ‘Craving and escape from other problems’).The MPPUS was correlated with the Smartphone Addiction Scale short version. With respect to criterion-oriented validity, the MMPUS was also evaluated in relation to socio-demographic variables (i.e., age and gender). The internal consistency and temporal stability of the scales (test–retest assessment after three months) were confirmed.

HÀNH VI NGHIỆN ĐIỆN THOẠI THÔNG MINH: KẾT QUẢ TỪ NGHIÊN CỨU CẮT NGANG KHẢO SÁT TRÊN HỌC SINH TRUNG HỌC PHỔ THÔNG TẠI TỈNH NGHỆ AN

This study aims to examine smartphone addiction among high school students. Participants include 437 high school students in Nghe An. Smartphone addiction was measured using the Smartphone Addiction Scale - Short Version (SAS-SV). According to the SAS-SV scores, 56,3% were classified as a normal user group, and 43,7%of students were classified as addicts. Female students have higher levels of smartphone addiction than male students. This study suggested a high prevalence of smartphone addiction among high school students, particularly female students. Some recommendations for future research are given.

Translation and psychometric evaluation of Smartphone Addiction Scale-Short Version (SAS-SV) among Chinese college students.

Smartphone addiction is very prevalent among college students, especially Chinese college students, and it can cause many psychological problems for college students. However, there is no valid research instrument to evaluate Chinese college students' smartphone addiction. This study aimed to translate the Smartphone Addiction Scale-Short Version (SAS-SV) into Chinese and evaluate the psychometric characteristics of the Smartphone Addiction Scale- Chinese Short version (SAS-CSV) among Chinese college students. The SAS-SV was translated into Chinese using the forward-backward method. The SAS-CSV was completed by 557 Chinese college students (sample 1: n = 279; sample 2: n = 278). 62 college students were randomly selected from the 557 Chinese college students to be meas- ured twice, with an interval of two weeks. The reliability of the SAS-CSV was evaluated by internal consistency reliability and test-retest reliability, and the validity of the SAS-CSV was evaluated by content validity, structural validity, convergent validity, and discriminant validity. The SAS-CSV presented good content validity, high internal consistency (sample 1: α = 0.829; sample 2: α = 0.881), and good test-retest reliability (ICC: 0.975; 95% CI: 0.966-0.985). After one exploratory factor analysis, three components (tolerance, withdrawal, and negative effect) with eigenvalues greater than 1 were obtained, and the cumulative variance contribution was 50.995%. The results of confirmatory factor analysis indicated that all the fit indexes reached the standard of good model fit (χ2/df = 1.883, RMSEA = 0.056, NFI = 0.954, RFI = 0.935, IFI = 0.978, TLI = 0.969, CFI = 0.978). The SAS-CSV presented good convergent validity for the factor loading of all the items ranged from 0.626 to 0.892 (higher than 0.50), the three latent variables' AVE ranged from 0.524 to 0.637 (higher than 0.50), and the three latent variables' CR ranged from 0.813 to 0.838 (higher than 0.70). Moreover, the square roots of the AVE of component 1 (tolerance), component 2 (withdrawal) and component 3 (negative effect) were 0.724, 0.778, and 0.798, respectively, higher than they were with other correlation coefficients, indicating that the SAS-CSV had good discrimination validity. The SAS-CSV is a valid instrument for measuring smartphone addiction among Chinese college students.

Smartphone addiction in children: patterns of use and musculoskeletal discomfort during the COVID-19 pandemic in Iran

BackgroundSmartphone use has increased significantly, especially during the period of global pandemic caused by the novel SARS-CoV2 coronavirus (COVID-19). Concurrently, smartphone addiction is a growing social problem in children and adolescents with the consequence of adverse health outcomes. This study assessed the prevalence of smartphone addiction, patterns of use, and the experienced body-region discomfort among Iranian school students during the COVID-19 pandemic.MethodsA cross-sectional study with students from grades 1–9 recruited n = 585 participants (mean age = 14.49 (2.26 years); female = 65.8%). Data were collected from parents and students through the online 'Smartphone addiction scale-short version’ (SAS-SV), self-reported demographic questionnaires, and extracts of the Nordic musculoskeletal questionnaire for the evaluation of musculoskeletal disorders.ResultsThe prevalence rate of smartphone addiction (53.3%) was relatively high in the overall sample. Participants spent 6.85 (4.62) hours per day on their smartphones, which had increased 53.86% relative to the pre-pandemic period. The primary smartphone uses were for social networking (77.9%), web-surfing (53.3%), and camera activities (50.9%). There was a positive correlation between smartphone addiction as assessed with the SAS-SV and daily use time (r = 0.34, p < 0.001), and the percentage of change relative to the pre-pandemic period (r = 0.26, p < 0.001). Discomfort related to smartphone use was mostly reported as present in the eyes (39.7%) and neck (39.1%). A positive correlation was found (p < 0.001) between smartphone addiction and discomfort in the eyes, neck, wrists, shoulders, and upper-back.ConclusionThe more frequent usage of smartphones by students during the Covid-19 pandemic were associated predominantly with discomfort to the eyes and neck. Parents should consider the complications of musculoskeletal and postural changes during the child’s future years and pay particular attention to the individual’s patterns of smartphone use with an emphasis on posture and usage that reduces discomfort to the eyes and the musculoskeletal system, particularly the neck.

Prevalence of Phantom Vibrations and Ringing Syndrome, and its Association with Smartphone Addiction among Medical Students of Teaching Hospital, South India

Introduction Phantom vibration syndrome (PVS) and phantom ringing syndrome (PRS) is a false sensation of phone vibration and ringing when it is not. This study aimed to estimate the prevalence of PVS/PRS among medical students and to determine factors including level of smartphone usage associated with the development of phantom sensations. Methods Using cross-sectional analytical design, sociodemographic details, information on phantom sensations and phone usage among medical students in our institution in Puducherry, India, was obtained. Stratified random sampling strategy was incorporated to achieve a sample size of 369. Also, overuse of phone was assessed using Smartphone Addiction scale – short version (SAS-SV). Prevalence of PVS and PRS was summarized as a proportion with a 95% confidence interval (CI). Prevalence ratio for the factors associated with the phantom syndrome (PVS/PRS) was estimated using log-binomial regression. Results Using data from 383 students, the prevalence of phantom syndrome (PVS/PRS) was 44.9% (39.9–50.0%). PVS was more prevalent than PRS (27.9% vs 21.2%). There was a significant difference in SAS-SV scores between those with the phantom syndrome and those without. Students who stay in hostel (aPR = 1.88; 95% CI: 1.46 to 2.43), self-reported overuse of phone (aPR = 1.96; 95% CI: 1.56 to 2.45) and higher smartphone addiction score (aPR = 1.26; 95% CI: 1.04 to 1.53) were found to be significant determinants to have PVS/PRS. Conclusion Overall, one in two medical students had either PVS or PRS in our institution, Puducherry. Higher smartphone usage was a significant predictor of the presence of PVS/PRS.

Prevalence of Upper Limb Musculoskeletal Disorders and Their Association with Smartphone Addiction and Smartphone Usage among University Students in the Kingdom of Saudi Arabia during the COVID-19 Pandemic-A Cross-Sectional Study.

This study aimed to investigate the prevalence of upper limb musculoskeletal disorders (MSDs) and their association with smartphone addiction and smartphone usage among university students in the Kingdom of Saudi Arabia during the COVID-19 pandemic. A total of 313 university students aged 18 years and older who owned a smartphone and used it during the preceding 12 months participated in this cross-sectional study. The prevalence of upper limb MSDs, smartphone addiction/overuse, and levels of physical activity were recorded using the standardized Nordic musculoskeletal questionnaire, the smartphone addiction scale (short version), and the international physical activity questionnaire (short form), respectively. Data collection was performed on campus between March and May 2021. Binary logistic regression was used to determine the association between the prevalence of upper limb MSDs and smartphone addiction/overuse and levels of physical activity. The 12-month prevalence of MSDs of the shoulder, elbow, and wrist/hand regions due to smartphone use among participants was found to be 20.13%, 5.11%, and 13.42%, respectively. Shoulder (odds ratio (OR) = 11.39, 95% confidence interval (CI) = 4.64-27.94, p &lt; 0.001), elbow (OR = 15.38, 95% CI = 1.92-123.26, p = 0.01), and wrist/hand MSDs (OR = 7.65, 95% CI = 2.75-21.22, p &lt; 0.001) were more prevalent among participants who were categorized as having smartphone addiction/overuse measures. Promoting awareness about the healthy use of smartphones, including postural education and decreasing screen time, is necessary to reduce smartphone-related MSDs.

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.

Perceived stress and mobile phone addiction among college students: The roles of self-control and security.

According to the General Strain Theory, stress can lead to a range of problem behaviors. In the current study, we focused on the association between perceived stress and mobile phone addiction. We hypothesized that this association is mediated by low self-control and that the first path of the mediation is moderated by security. College students (N = 397; ages 16-21; 51.89% females) from a university in Hunan Province, China, were surveyed by cluster sampling method. The students completed the Smartphone Addiction Scale-Short Version (SAS-SV), the Depression Anxiety Stress Scale (DASS-21), the Self-Control Scale (SCS), and the Security Questionnaire (SQ) during regular class time. SPSS26.0 statistical software was used for descriptive statistics and Pearson correlation analyses, the SPSS macro PROCESS was used to test the mediating effects of self-control and the moderating role of security. Mediation analysis showed that as expected, perceived stress was associated with lower self-control, which in turn was associated with a higher risk for mobile phone addiction. Also as expected, moderated mediation analysis indicated that the association between perceived stress and self-control was moderated by security. Specifically, the relationship between perceived stress and self-control was stronger for low security. This study provides useful insight into the understanding of how perceived stress increases the risk of mobile phone addiction. The results are consistent with the General Strain Theory and further indicate that concrete approaches are required for the prevention and intervention to reduce mobile phone addiction among college students.

Vulnerability and Relationship Satisfaction

The present study aimed to investigate the mediating role of smartphone addiction in the association between vulnerability and relationship satisfaction among younger adults living in Turkey. The relationship assessment scale, the smartphone addiction scale-short version, the psychological vulnerability scale, and the social vulnerability scale were applied to 326 university students. Structural equation modelling showed that vulnerability has a significantly direct effect on relationship satisfaction, and smartphone addiction can partially mediate the impact of vulnerability on relationship satisfaction. The bootstrapping techniques confirmed that smartphone addiction had a partial mediation effect between vulnerability and relationship satisfaction. These data may help clinicians and researchers to better understand the consequences of vulnerability and underlying the processes of smartphone addiction and relationship satisfaction.

The Relationship Between Smartphone Addiction and Interpersonal Communication among Preclinical Students at the School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia

Introduction: The high number of smartphone usage throughout the world, including in Indonesia, can increase the likelihood of someone experiencing smartphone dependency. One impact of smartphone addiction is the decline in face-to-face interpersonal communication.&#x0D; Methods: The design of this study was analytic descriptive with a cross-sectional approach involving preclinical students at the School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, who met the inclusion and exclusion criteria. Data was collected using the Smartphone Addiction Scale Short Version (SAS-SV) and the interpersonal communication scale questionnaire.&#x0D; Results: From a total of 135 respondents, it was found that there was a significant relationship between smartphone addiction and interpersonal communication, with a p-value of 0.029 (&lt;0.05).&#x0D; Conclusions: Smartphone addiction has a significant influence on interpersonal communication

The Relationship Between Smartphone Addiction and Attention Among Medical Students at Atma Jaya Catholic University of Indonesia

Introduction: Smartphone addiction is characterized by a strong attachment to the smartphone that allows the occurrence of social problems and difficulty in performing everyday activities. Cognitive function disruption is one of smartphone addiction’s negative effects, and one component of cognitive function is attention. The prevalence of smartphone addiction in adolescents and young adults was higher since they were relatively more familiar to technology and lacked self-control. The purpose of this study is to determine the relationship between smartphone addiction and attention among medical students at Atma Jaya Catholic University of Indonesia.&#x0D; Methods: An analytical, cross-sectional study was conducted with a total of 82 respondents. The respondents were from the 2016, 2017, and 2018 batch of medical students at Atma Jaya Catholic University of Indonesia and were selected by stratified random sampling. The data were gathered using Smartphone Addiction Scale Short Version (SAS-SV) questionnaire, in order to estimate the prevalence of smartphone addiction and the Stroop Test to measure attention.&#x0D; Results. The majority of the subject were female (70,7%) and aged around 17-21 years. The respondents who were addicted to smartphones were 48,8%, and most respondents who were addicted were using their smartphone for 5-≤7 hours/day (63,3%) and spent their time more on social media (56,7%). The mean attention score was 63,81. The mean attention score for non-smartphone addicts was higher than the addicted ones, but there is no statistically significant correlation between smartphone addiction and attention (p= 0,06).&#x0D; Conclusions. There is no significant correlation between smartphone addiction and attention.