Dataset Information

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns.

ABSTRACT: With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healthy group. To investigate the effect of smartphone use patterns on smartphone addiction, we performed self-report questionnaires that assessed the following items: smartphone functions mostly used, purpose of use, problematic use, and parental attitude regarding smartphone use. For smartphone functions mostly used, the addiction group showed significantly higher scores in "Online chat." For the purpose of use, the addiction group showed significantly higher "habitual use," "pleasure," "communication," "games," "stress relief," "ubiquitous trait," and "not to be left out." For problematic use, the addiction group showed significantly higher scores on "preoccupation," "tolerance," "lack of control," "withdrawal," "mood modification," "conflict," "lies," "excessive use," and "loss of interest." For parental attitude regarding children's smartphone use, the addiction group showed significantly higher scores in "parental punishment." Binary logistic regression analysis indicated that "female," "use for learning," "use for ubiquitous trait," "preoccupation," and "conflict" were significantly correlated with smartphone addiction. This study demonstrated that the risk factors for smartphone addiction were being female, preoccupation, conflict, and use for ubiquitous trait; the protective factor was use for learning. Future studies will be required to reveal the additional clinical evidence of the disease entity for smartphone addiction.

SUBMITTER: Lee H

PROVIDER: S-EPMC5592183 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns.

Lee Hyuk H Kim Jun Won JW Choi Tae Young TY

Journal of Korean medical science 20171001 10

With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healt ...[more]

PMID: 28875613

Similar Datasets

Project description:The data were collected to test the hypothesis that problematic smartphone use, defined as the risk of smartphone addiction, is positively related to the type/purpose of device use (hedonic, meaning pleasure/gratification) and perceived stress, while it is negatively related to life satisfaction. The data were collected online between October 2020 and January 2021, using Qualtrics online research platform. The participants were aged 18 years or over, had a good command of the English language. They were recruited by posting the survey link on popular social media platforms, such as Facebook, LinkedIn, and Twitter, as well as by using applications such as WhatsApp and Instagram. Participation was voluntary, anonymous, and without material compensation. In addition to demographic questions (age, gender, level of education), respondents completed three questionnaires, including the Smartphone Application-Based Addiction Questionnaire (SABAS), Satisfaction with Life Scale (SWLS), Perceived Stress Scale (PSS), and answered two questions about the proportion of time they use their smartphone to access the Internet and the proportion of time they use smartphone for hedonic purposes. In the course of the data analysis, our aim was to predict the risk of smartphone addiction by the type or purpose of smartphone use, perceived stress, life satisfaction, age, and gender. The reuse potential of the data lies in the possibility to examine the relationships between the hedonic use of smartphones and other variables in the dataset. Researchers could also examine differences of gender or education level in the specific components of smartphone addiction, since each item of the SABAS represents a distinct component in the 'Components model' of addiction [4]. Furthermore, since we have data on Internet access via a tablet, laptop, and desktop computer, it is possible to analyse the relationships of the dependent variables with these paths of accessing the Internet.

Project description:Background: Sleep quality plays a principal role in the protection of health. There is an increasing number of studies in the literature demonstrating that internet addiction and smartphone addiction impair sleep quality. However, the number of studies on Turkish adolescents is very limited. Therefore, this study examined the effects of internet addiction and smartphone addiction on sleep quality among Turkish adolescents. Methods: Participants in this cross-sectional study were 910 adolescents aged 13-18 years. Data were collected with the Short Internet Addiction Test, Smartphone Addiction Scale, and Pittsburgh Sleep Quality Index. In addition, a questionnaire was used to gather information about the demographic, socioeconomic, and health-related characteristics. Pearson's Chi-square test, Chi-square test for trend, Mann-Whitney U test, logistic regression analysis, and Spearman's correlation analysis were used in the analysis. Results: The sleep quality of 58.7% of the adolescents was poor. Additionally, girls and adolescents ≥16 years old had poor sleep quality. Sleep quality deteriorated as perceived health status and perceived economic status of family deteriorated. Compared to participants with normal internet addiction scores, poor sleep quality was 1.83 (95% CI [1.22-2.74]) times higher in those with problematic internet addiction and 1.99 (95% CI [1.23-3.87]) times higher in those with pathological internet addiction. One point increase in Smartphone Addiction Scale total score increased poor sleep quality 1.01 (95% CI [1.00-1.02]) times. Sleep quality scale were positively correlated with the smartphone addiction and internet addiction. However, there was no positive correlation between habitual sleep efficiency subcomponent of sleep quality and smartphone addiction and internet addiction. Conclusions: Internet addiction and smartphone addiction were associated with poor sleep quality in adolescents. Older adolescents (≥16 years), gender (female), poor health perception, and perception of moderate economic status of the family were other factors associated with poor sleep quality.

Project description:ImportanceDespite high use of smartphones among adolescents, little is known about the association of smartphone use with body image and related behaviors.ObjectiveTo examine the associations of duration of smartphone use and types of content most frequently accessed via smartphone with body image distortion and weight loss behaviors in adolescents.Design, setting, and participantsThis cross-sectional study used data from the population-based Korea Youth Risk Behavior Web-Based Survey 2017. Participants comprised a nationally representative sample of 53 133 Korean adolescents aged 12 to 18 years. Data were collected from June 1 to July 18, 2017. The analysis was performed from February 7, 2020, to March 30, 2022.ExposuresSelf-reported duration of smartphone use (min/d) and types of content (educational or informational searches; chatting, messaging, or email; social networking services or forums; games; videos, movies, or music; webtoons or web novels; and shopping or other activities) most frequently accessed during smartphone use.Main outcomes and measuresBody image distortion (overperception of body weight), weight loss attempt, use of inappropriate weight loss strategies (skipping meals, eating only 1 food at a time, vomiting, or using laxatives), and healthy weight loss behaviors (muscle-strengthening and aerobic physical activity). Multivariable logistic regression analysis was performed to estimate odds ratios (ORs) and 95% CIs, accounting for survey sampling and adjusting for potential confounders.ResultsAmong 53 133 participants, the mean (SD) age was 15.0 (1.8) years; 50.7% of participants were female, and 49.3% were male. After adjusting for types of content accessed, prolonged smartphone use (≥301 min/d) was positively associated with body image distortion (boys: OR, 1.17; 95% CI, 1.07-1.28; girls: OR, 1.20; 95% CI, 1.10-1.30) and inappropriate weight loss strategies (boys: OR, 1.54; 95% CI, 1.25-1.90; girls: OR, 2.45; 95% CI, 2.14-2.79) in both sexes compared with minimal smartphone use (1-120 min/d). After adjusting for duration of smartphone use, the use of smartphones mainly for videos, movies, or music (OR, 1.15; 95% CI, 1.02-1.29), webtoons or web novels (OR, 1.28; 95% CI, 1.10-1.48), and games (OR, 1.17; 95% CI, 1.03-1.32) was positively associated with body image distortion in boys compared with the use of smartphones mainly for educational or informational content. Among boys, the use of smartphones mainly for chatting, messaging, or email was positively associated with muscle-strengthening activity (OR, 1.31; 95% CI, 1.18-1.44) and aerobic physical activity (OR, 1.41; 95% CI, 1.29-1.55), as was the use of smartphones mainly for social networking services or forums (muscle-strengthening activity: OR, 1.27; 95% CI, 1.13-1.42; aerobic physical activity: OR, 1.28; 95% CI, 1.15-1.43). Among girls, the use of smartphones mainly for chatting, messaging, or email was positively associated with weight loss attempts (OR, 1.34; 95% CI, 1.19-1.51) and the use of inappropriate weight loss strategies (OR, 1.57; 95% CI, 1.25-1.99), as was the use of smartphones mainly for social networking services or forums (weight loss attempts: OR, 1.20; 95% CI, 1.07-1.36; use of inappropriate weight loss strategies: OR, 1.37; 95% CI, 1.08-1.73).Conclusions and relevanceIn this cross-sectional study, both the duration of smartphone use and the types of content most frequently accessed via smartphone were associated with body image distortion and weight loss behaviors in adolescents. These findings suggest a need for the identification of strategies to help adolescents develop healthy smartphone use behaviors.

Dataset Information

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns.

Publications

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets