Smartphone Addiction Research Articles

The influence of organizational caring on mobile phone addiction in undergraduate nursing students: The chain mediating role of perceived stress and self-control

BackgroundThe incidence of mobile phone addiction (MPA) is increasing in undergraduates and may lead to depression, anxiety, and sleep disorders. Undergraduate nursing students are important group for clinical services; therefore poor mental health has an important implications for the quality of future nursing work and the relationship between nurses and patients. ObjectivesTo explore the connection between organizational caring and MPA in Chinese undergraduate nursing students and to investigate the mechanisms of perceived stress and self-control in this relationship by constructing a chain mediation model. DesignA cross-sectional study. MethodsA total of 900 participants (age range 18–25 years, M = 20.99, SD = 1.58, 94.0 % female) were recruited from 10 universities in China. Data were collected using an online survey between February and March 2023. Organizational caring, subjective stress, self-control ability, and MPA among undergraduate nursing students were assessed. Results(1) The prevalence of MPA was 34.9 % (314/900). (2) MPA in undergraduate nursing students was negatively correlated with self-control (r = −0.468, p < 0.001) and organizational caring (r = −0.156, p < 0.001), and positively correlated with perceived stress (r = 0.362, p < 0.001). (3) Perceived stress and self-control mediated the relationship between organizational caring and MPA, and the relative mediating effect values were 16.6 % and 17.2 %, respectively. (4) Organizational caring had an indirect effect on MPA through the chain mediation effect of perceived stress and self-control, and the relative mediating effect value was 19.1 %. ConclusionOrganizational caring, perceived stress and self-control directly influenced MPA among undergraduate nursing students. Additionally, organizational caring indirectly affected MPA through perceived stress and self-control. To further mitigate MPA among students, nursing managers and educators should enhance organizational caring, reduce perceived stress, and improve self-control abilities.

“A Study To Assess The Attitude Of Parents On Addiction Of Smartphone Among Children InSelected Area Of Makhnumajra Baddi, Distt. Solan, [H.P

Aim of study to assess the level of attitude of parents on addiction of smartphone among children in selected area of Makhnumajra, Baddi, Distt. Solan. Material And Methods: A quantitative research approach, non-experimental, descriptive research design was used in this study. The sample was selected by random sampling technique. Sample size was 120. A Likert scale was used to assess the level of attitude of parents regarding addiction of smartphone among children in selected area of Makhnumajra Baddi. The tool was validated by the experts and found to be valid for this study. The results show that out of 120 parents, 3.33% were disagree, 33.33% were strongly disagree, 10.00% were agree and 53.33% were strongly agree regarding addiction of smartphone among children. The study participants showed strongly agree regarding addiction of smartphone and significant association was found among socio demographic variables as education of mother. Study Findings Regarding level of attitude of parents among addiction of smartphone of childrenwere found to be like this: The level of attitude of parents regarding addiction of smartphone among children revealed that out of 120 parents 4(3.33) parents were disagree, 40(33.33) parent were strongly disagree, 12(10.00) parents were agree and 64(53.33) parents were strongly agree regarding addiction of smartphone of children. With regard to the association between the attitude regarding addiction of smartphone by children among parents and selected socio- demographic variables in the present study findings revealed that there was a significantly associated with mother’s education. Conclusion: The study shows that parents of Makhnumajra Baddi were strongly agree related to addiction of smart phone among children

Unwilling the Smartphone Addiction, Fear of Missing Out and Mental Health Issues in Youth

The focus of present is to explore the relationship between smartphone addiction, fear of missing out and mental health issues in youth. Understanding how specific worries of missing out and mental health issues contribute to the development and exacerbation of smartphone addiction can provide valuable insights for prevention strategies. For this purpose, the sample for the current study was calculated by the G power formula (F, t, χ2, z, and exact tests) and 200 participants were selected through convenient sampling. A correlational research design was used. A short smartphone addiction scale (Kwon et al., 2013), fear of missing out (Przybylski et al., 2013) and mental health questionnaire scale (Houston) were used to measure the study variables. Results of the correlation analysis revealed that there is a significant positive relationship between smartphone addiction, fear of missing out and mental health issues in youth. Further results demonstrate that smartphone addiction significantly predicts mental health issues in youth. However, results showed that there are no gender differences in smartphone addiction, Fear of missing out and mental health issues among young adults. The current study findings are beneficial for youth to understand how smartphone addiction is linked to fear of missing out and mental health issues and what steps should be taken to reduce these issues in youth. To conclude, the present research study highlights the need for awareness and intervention strategies to mitigate the adverse effects of Smartphone addiction and FOMO on mental health, emphasizing the importance of digital literacy and balanced technology use among youth.

Comorbidity, Eating Behaviors and Smartphone Addiction in Italian Nurses' Characteristics.

Evidence suggested how nurses experienced worse lifestyles than the general population by recording deterioration rates in healthy conditions. To assess differences between comorbidity, eating behavior, and smartphone addiction according to sex, Body Mass Index (BMI), age, work experience, shift, alcohol assumption, and physical activity in Italian nurses. An online questionnaire was spread through some professional internet pages. Data included demographic characteristics, the Charlson Comorbidity Index (CCI), the Italian Version of the Dutch Eating Behavior Questionnaire, and the Smartphone Addiction Scale (SAS-SV). A total of 456 nurses were recruited. Significant differences were registered in the smartphone addiction score (p=0.030) and BMI scores and work experience (p=0.001), as underweight participants reported higher scores in the smartphone addiction attitude (2.4714 ± 1.25812) than the other subjects and also participants with the highest number of years in work experience also reported higher smartphone addiction scores (2.8074 ± 1.2022). Significant difference was reported in the CCI scores according to age (p<0.001): subjects aged over 61 years recorded higher scores in the CCI (1.67 ± 1.528) and also according to work experience and CCI scores (p<0.001), as participants employed between 21 and 30 years reported higher scores in the CCI (1.27 ± 1.382) and also to night shift (p=0.037), as participants who worked during the night shift also reported higher scores in the CCI. A significant difference was reported only for restrained eating attitude (p=0.034), as participants who declared to assume alcohol 2-3 times per month recorded higher levels in this eating attitude aspect (32.32 ± 7.181). Female nurses, overweight and obese nurses with low physical activity practice, seemed to spend more time with their smartphones. Healthcare organizations should consider findings to prevent unhealthy lifestyles among nurses, which could negatively influence the whole healthcare system.

The association between smartphone addiction and thumb/wrist pain among medical students of Jazan University, Saudi Arabia, A cross-sectional study.

The past decade has witnessed a revolution in smartphones owing to their growing importance and various applications. However, excessive usage can lead to addiction and joint pain in the wrist/thumb area. Despite these negative effects, smartphones offer medical students access to the resources they need. To determine the association between smartphone addiction and thumb/wrist pain among undergraduate students of Jazan University. A cross-sectional self-administrated, online survey and online convenience sample technique was used. The collected data were analyzed using SPSS Software. This survey included 337 participants, of which two-thirds were female (66.8%) and the rest male (33.2%); 32.6% of the respondents were studying in the College of Medicine. Of the 337 participants, 32% reported experiencing pain in their wrists or at the back of their neck while using a smartphone. The study found an average Smartphone Addition Scale-Short Version (SAS-SV) score of 32.5 ± 8.0 out of 50 and a total Patient-Rated Wrist Evaluation score of 48.8 ± 14.7, with a pain score of 13.3 ± 11.0 and a function score of 35.5 ± 11.7. The study also revealed a significant association between smartphone addiction and thumb/wrist pain (P value = 0.029), with females and students of the College of Applied Medical Science associated with higher SAS-SV scores, thereby indicating higher smartphone addiction. Significant correlation exists between smartphone addiction and thumb/wirst pain among medical students of Jazan University.

Problematic smartphone use and adolescent’s depression trajectory patterns

ABSTRACT This research aimed to examine the trajectory patterns of depression among South Korean adolescents and the individual and social predictors of these trajectories. For this purpose, a growth mixture model was used, employing 4 years of longitudinal data from 2,607 adolescents (50.4% female, M age ranged from 10 to 13 years, SD = .096–.097). The analysis revealed three subtypes: moderate-maintained depression, high-decreasing depression, and low-increasing depression. Problematic smartphone use emerged as a critical factor influencing the depression trajectories, which has not been extensively explored in previous research. Depression was linked to being female, low self-esteem, parental rejection and inconsistency, and low peer support.

The Relationship between Gender, Smartphone Addiction, and Sleep Quality among High School Students at Adventist Schools in Jakarta

Smartphone addiction is one of the crucial problems that is happening among teenagers. This habit may lead to various problems such as lower sleep quality. Hence, this study aimed to investigate the relationship between smartphone addiction and sleep quality. This study applied quantitative analysis to investigate the correlation between gender, smartphone addiction, and sleep quality among 270 students in levels 10-12 from 8 Adventist High Schools in Jakarta. The study used simple random sampling technique. The study used the Pittsburgh Sleep Quality Index (PSQI) and the Smartphone Addiction Scale (SAS). Both descriptive and inferential analyses were performed using the SPSS statistical program. The hypotheses of the study were tested using Pearson correlation. The study found a correlation between high school students' sleep quality and smartphone addiction, as well as a higher rate of smartphone addiction among female students than male students. The study found that students' rates of smartphone addiction decreased with improved sleep quality. Addressing smartphone addiction and inadequate sleep is essential for raising high school students's academic achievement.

Smartphone use and its addiction among Jammu adolescents

Background: Smartphones play a crucial role in our everyday life. Smartphones help users to develop social connections with others, gain information and entertain themselves through various applications. With the widespread use of smartphone, the number of smartphone users has been increasing worldwide. As smartphones are getting popular, smartphone addiction has become a serious mental health problem among adolescents. Objectives: To find out significant differences in smartphone addiction among adolescents with respect to their gender and locale. Methodology: Descriptive survey method was used for conducting the study. The sample consists of 200 adolescents of government and private schools from Jammu and Kathua. ‘Smartphone Addiction Scale’ (2021) developed by Vijayshri and Masaud Ansari was used for data collection. Results: It was found that smartphone addiction was significantly higher among female adolescents (M=65.34) as compared to their male counterparts (58.61). Further, it was also found that smartphone addiction was significantly higher in urban adolescents (M=64.37) than rural adolescents (M=59.08). Conclusion: In order to combat smartphone addiction among adolescents, we advise the creation of healthy environment at the family and school levels. Teachers should provide knowledge to the students about smartphone security tips and educational programmes should be organized for protecting psychological well-being of the adolescents.

그릿이 청소년의 공격성에 미치는 영향: 사회적 위축과 스마트폰 중독의 매개효과를 중심으로

This study’s aim was to prove the indirect effect of the social withdrawal and the smart phone addiction within the direct path which the grit have effected to the aggression of an adolescent. For actualizing this research study, this study have selected a total of 2,384 cases in the first year of middle school from Korean Youth Pannel Survey(KYPS) 3th data(an year of 2020) as an analysis target. And this study have applied the Structural Equation Modeling(SEM) based on the Amos 18.0 as an main analysis method, sobel test for demonstrating the indirect effect. This study have created the following analysis result through the presented research method. First, this study have proved the direct effect that the grit have predicted to the aggression of an adolescent. Second, this study have verified the mediating effect of the social withdrawal and the smart phone addiction. Finally this study have suggested the practical implication associated with reducing the aggression of an adolescent and the suggestion for the prior research through the above analysis result.

Effects of Smartphone Addiction and Intolerance of Uncertainty on Mental Health in Nursing Students: Mediating Effects of Resilience

Objectives: The purpose of this study was to confirm the mediating effect of resilience in the effects of smartphone addiction and intolerance of uncertainty on mental health of nursing students.Methods: The study subjects were 201 nursing students from Y University, with data collected from November 14 to 27, 2023, and the collected data were analyzed by SPSS 25.0.Results: The results indicated that smartphone addiction, intolerance of uncertainty, resilience, and mental health were all significantly correlated. Smartphone addiction and intolerance of uncertainty had a negative effects on mental health, and resilience had a partial mediating effect in this effect.Conclusions: This study suggested the importance of enhancing resilience as an intervention for improving the mental health of nursing students. In order to prevent mental illness and improve mental health of nursing students, it is suggested to develop and apply a specialized resilience promotion program for nursing students.

Communication Preferences and Factors Predicting Smartphone Addiction Among Four Generations of Australians: Gender and Generational Differences

AbstractSmartphones are commonly used for socializing, entertainment, and information-seeking. However, excessive and problematic usage may lead to smartphone addiction, which is linked to cognitive and attentional deficits and mental health issues globally. Historically, age and gender have been found to influence smartphone usage. Furthermore, the relationship between communication preferences (via mobile-technology versus in-person) and usage, and addictive tendencies is understudied. Past research has seldom explored older age groups. This study investigates generational (“Gen-Z,” “Gen-X,” “Gen-Y,” and Baby-Boomers) and gender differences in smartphone usage, communication preferences, and factors predicting smartphone addiction scores (SAS). The study surveyed 894 adults aged 18–80 years to examine interpersonal communication preferences, daily hours of smartphone usage, and SAS. Participants were recruited via snowball sampling through digital and printed media. Daily hours of usage and SAS were closely related and shown to reduce after the age of 40 years. Generations “Z” and “Y” reported the highest daily use and scored higher in SAS than the older generations. Women scored higher in SAS than men in all generations except “Gen-X.” Age, hours of usage, and preference for mobile communication predicted SAS, but gender did not. Overall, people prefer to communicate with others in-person more than via mobile-technology. The findings identify significant generational and gender differences in daily usage, addiction scores, and communication preferences. Preference to communicate more via mobile-technology than in-person predicted SAS. Future research needs to investigate smartphone usage among all age groups and genders to clarify the risks and protective factors associated with smartphone addiction.

Phantom vibration and ringing syndromes among Indian medical students

Mobile phones are now crucial to our everyday routines, transforming how we interact, granting immediate access to information, fostering social bonds, facilitating shopping, advancing healthcare, enriching education, increasing productivity, and broadening entertainment choices. However, excessive phone usage can result in a higher prevalence of physical or psychological disorders. Phantom sensations, such as Phantom Vibration Syndrome (PVS) and Phantom Ringing Syndrome (PRS), describe the experience of feeling vibrations or hearing ringing from a phone when it is not actually vibrating or ringing. The objectives of the present study are a) to develop a self-administered smartphone addiction scale (SAS) among medical students at a tertiary care facility and b) to find out the aggravating factors for PVS and PRS among medical students in a tertiary care hospital. Our study was a cross-sectional observational survey conducted among 473 medical undergraduate students, using stratified random sampling to select the participants. The self-administered questionnaire was developed based on the Smartphone Addiction Scale (SAS), which is validated and efficient for evaluating smartphone addiction. Among the participants, 46% were males and 54% were females. Our study reported that 60% of the students experienced phantom vibration/ringing syndrome, 53% had poor sleep patterns due to excessive use of mobile phones, 58% felt their lives would be empty without phones, 57% thought about mobile phones even when they were not in their hands, and 56% felt the urge to use their smartphones again right after they stopped using them. About 58% of the students preferred talking with smartphone buddies to hanging out with real-life friends or other family members, reflecting poor socialization among young adults. We recommend a qualitative analysis of behavioural and psychological components to explore the root cause of this issue. Literature on the causes of phantom sensations/vibrations has been limited, with existing theories lacking a comprehensive perspective.

Differences in Lifestyle, Depression and Quality of Sleep according to Smartphone Addiction among College Students

Differences in Lifestyle, Depression and Quality of Sleep according to Smartphone Addiction among College Students

Investigating smartphone addiction among senior secondary school students

The present study is based on the smartphone addiction which is an emerging problem of the current time. Our youth is getting distracted due to excessive use of smartphones nowadays. The study aimed to find out the significant difference of smartphone addiction among senior secondary school students with respect to their gender (i.e. male and female); type of schools (i.e. government and private); streams (i.e. science, arts and commerce); type of families (i.e. joint and nuclear); and social category (i.e. general and scheduled castes). Tool used to collect the data was smartphone addiction scale developed by Dr. Vijayshri and Dr. Masaud Ansari. The sample consisted of 200 senior secondary school students, out of which 100 were males and 100 were females. Collected data was analyzed through mean, standard deviation and t-test. The results revealed that there was no significant difference in the smartphone addiction among senior secondary school students in relation to their gender (male and female), stream (i.e. science and commerce; arts and commerce), type of family (i.e. joint and nuclear), social category (general and scheduled castes). While there was a significant difference in the smartphone addiction among senior secondary school students in relation to their type of school (i.e. government and private) and stream (science and commerce). It was suggested that schools should integrate digital literacy into the curriculum which can educate students about the responsible use of smartphones highlighting potential risks of addiction.

Effects of socio-demographical characteristics of high school students on smartphone addiction and depression

ABSTRACT This study was conducted to determine the smartphone addiction and severity of depressive symptoms of high school students. In this descriptive cross-sectional and correlational study, the sample consisted of 1744 high school students. In the study, data were collected using a Descriptive Questionnaire, the Smartphone Addiction Scale-Short Form, and the Depression Scale for Children. Data were analyzed in independent groups Student’s t test, One-way ANOVA, Pearson correlation analysis, and a multiple regression model. It was determined that the students’ mean smartphone addiction score was affected by gender, grade level, school success, having problems with the family, relationship with family, relationship with friends, and social self-evaluation. The mean depression score was affected by family type, economic status, social self-evaluation. According to the multiple regression analysis, effects of socio-demographic variables on smartphone addiction were 25%. It was concluded that the socio-demographic characteristics of high school students have an effect on smartphone addiction and depression.

University Students’ Problematic Mobile Phone Use

The study aimed to examine the factors affecting the problematic mobile phone use of university students (n=2.110). The study was conducted at a university in Turkey between April and May 2018. The students were found to have an above-average level of mobile phone addiction, an average level of deterioration in social relations, having problems as a result of using a mobile phone below the average, and using problematic mobile phones. The scale scores of girls were higher. It was determined that as the education level of the parents increased, the addiction scores of the students increased. Being aware of the problematic status of university students' mobile phone usage can help raise awareness about the issue and take necessary precautions.

The association between mobile phone usage duration, neck muscle endurance, and neck pain among university students

The mobile phone is essential in daily life, especially during the pandemic. Prolonged use can cause postural issues, leading to common neck pain. This study aims to determine the correlation between mobile phone use duration, addiction, neck muscle endurance, and neck pain in university students. The study included 62 participants (30 female, 32 male) aged 18–35 years. Inclusion criteria required participants to have experienced neck pain at least twice in the past year and to have no other concomitant issues, as well as to volunteer for the study. Demographic information and daily mobile phone usage time were collected. Neck pain was assessed with the Visual Analogue Scale, smartphone addiction with the Smartphone Addiction Scale, and cervical muscle endurance was evaluated. Correlation analysis reveals a moderate relationship between neck pain severity (NPS) and cervical extensor muscle endurance (CEME), a strong relationship between NPS and cervical flexor muscle endurance (CFME), as well as a strong relationship among daily phone usage time (DPUT), CFME, and NPS, with a moderate relationship between DPUT and CEME. Participants were divided into two groups based on their DPUT, revealing that those who used their phone for four hours or more showed significantly higher levels of pain (p < 0.05) and reduced endurance in cervical flexor muscles. Our study found a strong correlation between neck pain, muscle endurance, and daily phone usage. Participants using their phones for more than four hours daily reported increased neck pain and decreased muscle endurance. We suggest integrating phone usage duration into neck pain assessments, promoting ergonomic practices, and offering detailed usage guidelines for users.

Smartphone Addiction in Turkish Adolescents: A Network Analysis

Smartphone Addiction in Turkish Adolescents: A Network Analysis

Does Smartphone Addiction Cause Depression? A Cross-Sectional Study

Does Smartphone Addiction Cause Depression? A Cross-Sectional Study

Prevalence, associated factors and consequence of problematic smartphone use among adolescents and young adults in Bangladesh: A cross-sectional study.

Problematic smartphone use (PSU) and attention deficit hyperactivity disorder (ADHD) in children, adolescents, and young adults are of major concern to parents. However, the prevalence and associated factors related to these issues in Bangladeshi adolescents and young adults remain unclear to the best of our knowledge. The aim of this study is to assess PSU and ADHD in the context of adolescent and young adult age groups in Bangladesh. The present study collected data from diverse geographical locations in Bangladesh via face-to-face surveys using stratified random sampling methods. We considered age, sex, and geographic location stratification criteria. A total of 578 respondents participated in the survey initially. From this, we discarded 36 responses after screening because the information provided was insufficient or incomplete response. In the end, 542 replies were incorporated into the final analysis. PSU and ADHD depend on several factors, including the individual's demographic background. The prevalence of PSU and ADHD symptoms in adolescents and young adults in Bangladesh is 61.44% and 37.45%, respectively based on our findings. The symptoms of PSU are correlated with age, education level, family type (nuclear/joint), sleeping pattern, physical exercise, and residence area. ADHD symptoms are correlated with age, education level, living with family, smoking habit, physical disability, sleeping pattern, physical exercise, residence area, and PSU. Also, we observed that ADHD and PSU symptoms are positively correlated with each other. A large proportion of young adults and adolescents reported PSU and ADHD symptoms. The present findings have practical implications in clinical psychology, psychotherapy, and related policy considerations. We propose to develop an inclusive interventional strategy and community-based programs to address PSU and ADHD-related issues.