ArticleBMC psychology2024
The effect of digital obesity and phubbing level on life satisfaction: latent profile analysis.
Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Relationship Between Physical Activity, Social Support, and Life Satisfaction Among Female College Students: A Variable- and Person-Centered Analysis.Behavioral sciences (Basel, Switzerland) · 2026Article
- Analysis of Phubbing Among University Students: A Study of Its Prevalence, Incidence Factors and Predictors.European journal of investigation in health, psychology and education · 2025Article
- What predicts mental health profiles in first-generation college freshmen?: the role of proactive personality and university environment.BMC psychology · 2025Article
- A manual three-step latent profile analysis to discover phubbing risk profiles among university students.Frontiers in psychology · 2025Article
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Authors and funding
6 authors.
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Abstract
backgroundIn this study, the effects of individuals' digital obesity and phubbing behaviors on their life satisfaction were investigated by latent profile analysis (LPA) method. LPA is a statistical technique used to identify unobserved subgroups within a population based on individuals' responses to various observed variables.
methodsThe present study was conducted in a correlational cross-sectional descriptive design between November 2023- January 2024. Digital obesity scale, phubbing scale, life satisfaction scale were used in this study.
resultsAs a result of LPA, Class 1 (Low Digital Addicts) has the lowest arithmetic mean in all indicators. When life satisfaction was analyzed on the basis of the classes, it was found out that Class 2 (High Digital Addicts), which was collected in the group with high levels of digital obesity and phubbing, had lower life satisfaction. Considering the demographic levels of individuals according to class level, it was concluded that high digital addiction was more common among individuals with secondary and postgraduate education.
conclusionsIn the present study, two classes were found as a result of LPA. In the analysis, Class 1(Low Digital Addicts) was found to have the lowest arithmetic mean in all indicators. On the other hand, when life satisfaction was analyzed according to the classes, it was detected that Class 2 (High Digital Addicts) life satisfaction was lower in the group with high levels of digital obesity and phubbing. In the study, the life satisfaction of class 1, which is characterized as low digital addicts, was found to be higher. Longitudinal studies on digital addictions affecting life satisfaction are recommended.
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