For approximately fifty years, scholars have empirically confirmed the benefits of social support for health and well-being. This empirical evidence comes from cross-sectional and longitudinal studies carried out both in the general and at-risk populations (Holt-Lunstad, Smith,
(1) Background: This paper combines lifestyle-routine activities (L-RAT) and self-control (SCT) theories along with the literature on smartphone addiction in a joint model that addresses the multiple vulnerabilities that make the smartphone user a potential victim of cybercrime. This model, which we call the dual vulnerability model of cybercrime victimization, was subjected to empirical testing on a nationally representative sample of smartphone users. (2) Methods: Data from 2837 participants from a nationally representative sample of Spanish smartphone users were modeled using Mplus causal modeling software. (3) Results: The results of the study confirm the predictions of L-RAT and SCT in explaining cybercrime victimization (higher cybercrime victimization under conditions of high exposure, proximity, and suitability, relative absence of capable guardian, and low self-control). A significant effect of smartphone addiction on cybercrime victimization was also observed above and beyond L-RAT and SCT predictors. (4) Conclusions: The potential victim of cybercrime presents a double vulnerability, on the one hand, those identified by criminological theories such as L-RAT and SCT, and on the other hand, those derived from the deregulated-addicted use of the Internet access device (smartphone in our work).
Introduction: Little scholarly attention has been paid to the analysis of the history of intimate partner violence (IPV) against women with different male partners and how it could be related to levels of IPV with the current male partner. From this point of view, been a victim of IPV could increase the vulnerability of women and, therefore, exert a negative influence on the selection of partners over time, thus increasing the odds of potentially mating with abusive male partners. Alternatively, for some women victims of IPV in previous relationships, there may be additional resources that reduce their vulnerability to victimization by new partners.Methodology: The present study analyzes levels of IPV in different partners of 2376 heterosexual women from the 28 countries of the European Union living together as a couple who had previously lived with a different male partner.Analysis/Discussion: Multilevel regression results indicated that resilient women were younger, more satisfied with household income, and were involved in shorter relationships. As for their previous levels of victimization, they scored lower on child abuse and non-partner adult victimization. Also, their levels of victimization from previous partners were the same as those of the non-resilient women, with the exception of physical IPV victimization where resilient women scored higher than non-resilient women. Resilient women also informed the interviewer to have ended the abusive relationship because of the violence to a greater extent than non-resilient women and seemed to suffer fewer psychological difficulties due to previous violent relationships. Finally, countries scoring higher on human development index (HDI) showed a larger proportion of resilient women.Conclusion: Resilient women are mostly characterized by fewer psychological difficulties and lower frequency of adverse situations (in childhood or in adulthood) when compared to non-resilient women. Although resilient women reported a higher physical IPV, they nevertheless show fewer psychological sequelae and a greater ability to end abusive relationships. In addition, the human development of the countries in which they live also seems to reinforce their resilience, which suggests combining intervention policies at the individual and contextual levels.
Based on the recent scientific literature on the social ecology of smartphone addiction, we have examined the empirical relationship between social digital pressure (SDP) and smartphone addiction by also looking at the influence of users’ personalities, psychological distress, social support, and residential social living conditions on this addiction. The analyses were carried out on a nationally representative sample of 2,820 Spanish smartphone users. The results of the causal and multigroup models (structural equation model) indicated that the SDP was positively related to smartphone addiction. This influence was also independent of the effects on smartphone addiction of some personality traits (mainly low conscientiousness), high depression, low social support, and high social disorder in the neighborhood. SDP also showed an important mediating effect mainly for social factors (social support and social disorder in the neighborhood). SDP may be a relevant variable for understanding the potential risk of smartphone addiction in cases where there is a high need for social connection.
After more than a decade of research on smartphone addiction, there is currently empirical evidence on the main sociodemographic, psychological, and psychosocial correlates of this type of behavioral addiction. However, research in this field has not yet paid sufficient attention to the influence that the social context may have on smartphone addiction, an aspect that has been frequently pointed out by investigations on both substance and behavioral addictions. The objective of this research was to analyze the influence of the social context—through the perceived social disorder in the neighborhood—on the extensive use and addiction to the smartphone in a representative national sample of 3,619 Spanish users. The results of the multiple linear regression analyses showed that, after statistically controlling for a set of sociodemographic, psychological, and psychosocial correlates, a specific contextual effect was detected: Higher levels of perceived neighborhood social disorder were associated with higher levels of both smartphone extensive use and smartphone addiction. These results highlight the need to incorporate the influence of the social context as a relevant explanatory element of smartphone extensive use and addiction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.