ArticleAlpha psychiatry2026
Problematic Digital Behaviors, Procrastination, and Psychological Well-Being: An Integrative Explanatory Model of Happiness in Young Adults.
Article in Alpha psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Background: In recent years, the emergence and development of new technologies have led to an increase in problematic digital behaviors, which have been associated with lower levels of subjective well-being and reduced perceptions of happiness among young people. Methods: This cross-sectional study employed a non-experimental, descriptive, and correlational design. The aim was to examine the relationships among problematic digital behaviors, maladaptive coping, and subjective well-being, in order to develop an integrative explanatory model. Participants completed a series of online questionnaires assessing the variables of interest. A path analysis was conducted to test the hypothesized model. Results: The sample consisted of 763 young individuals aged between 18 and 30 years, with a mean age of M = 21.4 (SD = 2.76), and 66.7% were women. Results indicated that problematic internet use was positively associated with problematic pornography use, gaming disorder, and compulsive buying disorder, explaining 12%, 7%, and 13% of their variance, respectively. Moreover, all four behaviors exhibited negative relationships with psychological well-being, with procrastination acting as a mediating variable. The model accounted for 23% of the variance in procrastination and 19% in psychological well-being. Finally, psychological well-being was positively and significantly associated with happiness, explaining 46% of its variance. Conclusions: The proposed theoretical model demonstrated good fit across all goodness-of-fit indices, highlighting the importance of understanding the role of emerging problematic digital behaviors and their impact on well-being and happiness. These findings support the promotion of self-regulation strategies and healthy digital habits.
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