Factors associated with smartphone addiction prevalence and its predictive capacity for health-related quality of life among Filipino adolescents

Buctot, Danilo B.; Kim, Nami; Kim, Jinsoo Jason

doi:10.1016/j.childyouth.2020.104758

Cited by 83 publications

(88 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The use of social networking sites and the internet has grown in popularity over the last few decades and new technological tools such as smartphones may have become indispensable today [1,2]. Prevalence rates vary considerably in internet addiction research.…”

Section: Risk Of Internet Addiction and Social Media Usementioning

confidence: 99%

“…Additionally, the role of demographic factors such as gender and age have been extensively studied in relation to adolescent problematic internet use, however with mixed findings [8][9][10]16]. In addition, most research on social networking and internet addiction has used methodology based on linear regression models (e.g., [1,49]). These models are focused on the individual prediction and do not consider the possibility of different pathways that would lead to the same result [50,51].…”

Section: Rationale For the Studymentioning

confidence: 99%

See 1 more Smart Citation

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Peris

Barrera

Schoeps

et al. 2020

IJERPH

View full text Add to dashboard Cite

Adolescents’ addictive use of social media and the internet is an increasing concern among parents, teachers, researchers and society. The purpose was to examine the contribution of body self-esteem, personality traits, and demographic factors in the prediction of adolescents’ addictive use of social media and the internet. The participants were 447 Spanish adolescents aged 13−16 years (M = 14.90, SD = 0.81, 56.2% women). We measured gender, age, body self-esteem (body satisfaction and physical attractiveness), personality traits (extraversion, neuroticism, disinhibition and narcissism) and social networking and internet addiction (internet addiction symptoms, social media use, geek behaviour, and nomophobia). The effects of gender, age, body self-esteem and personality on the different dimensions of internet addiction were estimated, conducting hierarchical linear multiple regression analysis and a fuzzy-set qualitative comparative analysis (fsQCA). The results evidenced different pathways explaining four types of adolescents’ internet addiction: gender and disinhibition were the most relevant predictors of addiction symptoms; gender combined with physical attractiveness best explained social media use; narcissism and neuroticism appear to be the most relevant predictors of geek behaviour; and narcissism was the variable that best explained nomophobia. Furthermore, the advantages and differences between both methodologies (regressions vs. QCA) were discussed.

show abstract

Section: Risk Of Internet Addiction and Social Media Usementioning

confidence: 99%

Section: Rationale For the Studymentioning

confidence: 99%

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Peris

Barrera

Schoeps

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Other studies provide contradictory findings regarding gender differences. For example, Buctot et al found a higher prevalence of smartphone addiction in adolescent males compared to females in the Philippines [28]. Similarly, males were found to be more prone to smartphone [49] and Internet addiction [50,51] compared to females.…”

Section: Plos Onementioning

confidence: 99%

“…In Asia, the geographic region of this study, the prevalence of smartphone addiction and other types of smartphone overuse among adolescents and young people varied across studies and countries. For example, studies have documented prevalence ranging from 13.5% to 36% in South Korea [6][7][8][9][10][11][12], 4.05% to 29.8% in China [13][14][15][16][17][18][19][20][21][22][23],15.5% to 82% in India [24][25][26][27], and 62.6% in Filipino adolescents [28]. In Japan and Thailand, the focus of the current research, very few studies have reported on the prevalence of smartphone addiction.…”

Section: Introductionmentioning

confidence: 99%

Factors associated with smartphone addiction: A comparative study between Japanese and Thai high school students

et al. 2020

View full text Add to dashboard Cite

Background Smartphone addiction is a growing social problem with adverse health outcomes. There are few comparative studies in Asia that examine factors associated with smartphone addiction. The current study aimed to address this research gap by presenting a comparative analysis of factors associated with smartphone addiction in Japan and Thailand, two countries heterogeneous in both their level of economic development and culture. Methods Participant data were collected using two population-based surveys. Participants were high school students in grade 11, aged 16-17 years old, and were selected using quota sampling in Japan in 2014 and random sampling in Thailand in 2016. The outcome of interest was smartphone addiction, measured using a modified version of the Young Diagnostic Questionnaire for Internet Addiction. Multiple logistic regression analysis was performed to determine factors associated with smartphone addiction (gender; nationality; family connectedness; and average time spent on smartphone per day). Results This study included a total of 7694 students, 6585 students from Japan and 1109 students from Thailand. The prevalence of smartphone addiction was 35.9% among Thai students and 12% among Japanese students. Thai students were more likely to have smartphone addiction than Japanese students (AOR 2.76; 95% CI: 2.37-3.30). Being female was associated with increased odds of smartphone addiction in both Japanese (AOR 1.53; 95% CI: 1.32-1.78) and Thai students (AOR 1.34; 95% CI: 1.01-1.78). The parental connectedness variables "my parents noticed when I was unhappy" (AOR 0.77; 95% CI: 0.62-0.96) and

show abstract

“…[ 6 7 8 9 ] Addiction of smartphone reduced the health-related quality of life and students’ academic achievement significantly. [ 10 11 12 ] Use of smartphones while driving have high risk of road traffic accidents because of distraction. [ 13 ] The prevalence of smartphone addiction is higher than the Internet addiction due to difference between mobile phone and Internet.…”

Section: Introductionmentioning

confidence: 99%

Smartphone addiction and its complications related to health and daily activities among university students in Saudi Arabia: A multicenter study

Alkhateeb

Alboali²,

Alharbi

et al. 2020

J Family Med Prim Care

View full text Add to dashboard Cite

Factors associated with smartphone addiction prevalence and its predictive capacity for health-related quality of life among Filipino adolescents

Cited by 83 publications

References 68 publications

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Factors associated with smartphone addiction: A comparative study between Japanese and Thai high school students

Smartphone addiction and its complications related to health and daily activities among university students in Saudi Arabia: A multicenter study

Contact Info

Product

Resources

About