3,386 research outputs found

    Hedonic use, stress, and life satisfaction as predictors of smartphone addiction

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    This study examined the relationship between hedonic smartphone use (entertainment, social media, games), perceived life stress, and satisfaction with life with smartphone addiction (SA). We tested the connections using structural equation modeling (SEM) on questionnaire data obtained from 410 participants (73.2% women). Results indicated a good overall fit of the model (χ(2)(36) = 58.06, p = .011; CFI = 0.970, TLI = 0.954, RMSEA[90% CI] = 0.039 [0.019, 0.056], SRMR = 0.037). Perceived stress and hedonic use were positive predictors of SA (β = 0.264, p = .001 and β = 0.176, p = .002, respectively). Satisfaction with life did not directly predict SA, but an indirect effect, via perceived stress, was statistically significant (β = −0.146, p = .001). Women showed greater SA than men, but the effect of age was not significant. Perceived stress was negatively predicted by satisfaction with life, and positively by hedonic use. Based on the compensatory internet use theory, hedonic or non-utilitarian smartphone use might be associated with SA. The study concludes that being female, hedonic smartphone use, and perceived life stress predict SA

    Unraveling problematic smartphone use:The good and the bad through longitudinal, qualitative and psychometric perspectives

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    In an era where smartphones have become ubiquitous, discerning the fine line between normal smartphone use and Problematic Smartphone Use (PSU) is critical. This dissertation investigates the dual nature of smartphone use, delineating its positive and negative consequences, defining PSU comprehensively, and exploring its etiology through a mixed-methods approach. This approach involves a longitudinal study, an in-depth qualitative exploration, and the development of the Smartphone Use Problems Identification Questionnaire (SUPIQ). Chapter 2 presents findings from a longitudinal study with 2100 Dutch high school students, examining the bidirectional relationship between PSU and adolescent peer engagement. The study identifies individuals with low perceived competence in close friendships and those who intensively engage with smartphones for peer communication as particularly vulnerable to PSU. Chapter 3 offers a qualitative exploration of PSU symptoms and possible etiology, finding the similarities and differences between PSU and established addiction criteria and highlighting the trade-off process between smartphones’ positive and negative consequences. Building on these insights, Chapter 4 details the development and validation of the SUPIQ through the analysis of two distinct samples. The SUPIQ demonstrated strong construct validity and superior predictive power for mental health problems. This thesis illuminates the intricate interplay of social, motivational, and normative factors in PSU, enriching the discourse on digital well-being. We argue for interventions that promote digital well-being through a balanced approach to smartphone use rather than advocating for its elimination, offering valuable perspectives on navigating the complexities of smartphone integration into daily life

    Unraveling problematic smartphone use:The good and the bad through longitudinal, qualitative and psychometric perspectives

    Get PDF
    In an era where smartphones have become ubiquitous, discerning the fine line between normal smartphone use and Problematic Smartphone Use (PSU) is critical. This dissertation investigates the dual nature of smartphone use, delineating its positive and negative consequences, defining PSU comprehensively, and exploring its etiology through a mixed-methods approach. This approach involves a longitudinal study, an in-depth qualitative exploration, and the development of the Smartphone Use Problems Identification Questionnaire (SUPIQ). Chapter 2 presents findings from a longitudinal study with 2100 Dutch high school students, examining the bidirectional relationship between PSU and adolescent peer engagement. The study identifies individuals with low perceived competence in close friendships and those who intensively engage with smartphones for peer communication as particularly vulnerable to PSU. Chapter 3 offers a qualitative exploration of PSU symptoms and possible etiology, finding the similarities and differences between PSU and established addiction criteria and highlighting the trade-off process between smartphones’ positive and negative consequences. Building on these insights, Chapter 4 details the development and validation of the SUPIQ through the analysis of two distinct samples. The SUPIQ demonstrated strong construct validity and superior predictive power for mental health problems. This thesis illuminates the intricate interplay of social, motivational, and normative factors in PSU, enriching the discourse on digital well-being. We argue for interventions that promote digital well-being through a balanced approach to smartphone use rather than advocating for its elimination, offering valuable perspectives on navigating the complexities of smartphone integration into daily life

    Risky drinking behaviours among young people: an investigation of drinking motives and situational factors

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    This dissertation examined why young people drink alcohol in a risky manner. Young people were shown to drink, in a risky manner, if they were with other people who were drinking, and if they exhibited a tendency of wanting to fit in and conform with other people

    Are Cyberchondria and Intolerance of Uncertainty Related to Smartphone Addiction?

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    Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search — cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases ( M age = 38.67). Regression analysis showed that IU was a positive predictor of SA ( β = .17, p < .001), as well as cyberchondria ( β = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA

    Compulsive Smartphone Use: The Roles of Flow, Reinforcement Motives, and Convenience

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    Along with its rapid growth of penetration, smartphone has become highly prevalent in recent years. Meanwhile, compulsive smartphone use emerges as a rising concern. Given that research on compulsive smartphone use is scarce in the information systems literature, this paper aims to reveal its significant determinants to enrich the theoretical development in this area. In particular, we incorporate flow, reinforcement motives (i.e., instant gratification and mood regulation), and convenience in the research model to examine their influences on compulsive smartphone use. We conduct an empirical online survey with 384 valid responses to assess the model. The findings show that flow and reinforcement motives have direct and significant effects on compulsive use. Convenience affects compulsive use indirectly through flow, while flow further mediates the effects of reinforcement motives on compulsive use. Implications for both research and practice are offered

    Smartphone usage among older adults

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