The Experts below are selected from a list of 34887 Experts worldwide ranked by ideXlab platform
James Mackillop - One of the best experts on this subject based on the ideXlab platform.
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steep delay discounting and Addictive Behavior a meta analysis of continuous associations
Addiction, 2017Co-Authors: Michael Amlung, James Mackillop, Lana Vedelago, John Acker, Iris M BalodisAbstract:Aims To synthesize continuous associations between delayed reward discounting (DRD) and both addiction severity and quantity-frequency (QF); to examine moderators of these relationships; and to investigate publication bias. Methods Meta-analysis of published studies examining continuous associations between DRD and Addictive Behaviors. Published, peer-reviewed studies on Addictive Behaviors (alcohol, tobacco, cannabis, stimulants, opiates, and gambling) were identified via PubMed, MEDLINE, and PsycInfo. Studies were restricted to DRD measures of monetary gains. Random effects meta-analysis was conducted using Pearson's r as the effect size. Publication bias was evaluated using fail-safe N, Begg-Mazumdar and Egger's tests, meta-regression of publication year and effect size, and imputation of missing studies. Results The primary meta-analysis revealed a small magnitude effect size that was highly significant (r = 0.14, p < 10-14). Significantly larger effect sizes were observed for studies examining severity compared with QF (p = 0.01), but not between the type of Addictive Behavior (p = 0.30) or DRD assessment (p = 0.90). Indices of publication bias suggested a modest impact of unpublished findings. Conclusions Delayed reward discounting is robustly associated with continuous measures of addiction severity and quantity-frequency. This relation is generally robust across type of Addictive Behavior and delayed reward discounting assessment modality.
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A social network analysis approach to alcohol use and co-occurring Addictive Behavior in young adults.
Addictive behaviors, 2015Co-Authors: Matthew K. Meisel, James Mackillop, Allan Clifton, Adam S. GoodieAbstract:Abstract Introduction The current study applied egocentric social network analysis (SNA) to investigate the prevalence of Addictive Behavior and co-occurring substance use in college students' networks. Specifically, we examined individuals' perceptions of the frequency of network members' co-occurring Addictive Behavior and investigated whether co-occurring Addictive Behavior is spread evenly throughout networks or is more localized in clusters. We also examined differences in network composition between individuals with varying levels of alcohol use. Method The study utilized an egocentric SNA approach in which respondents (“egos”) enumerated 30 of their closest friends, family members, co-workers, and significant others (“alters”) and the relations among alters listed. Participants were 281 undergraduates at a large university in the Southeastern United States. Results Robust associations were observed among the frequencies of gambling, smoking, drinking, and using marijuana by network members. We also found that alters tended to cluster together into two distinct groups: one cluster moderate-to-high on co-occurring Addictive Behavior and the other low on co-occurring Addictive Behavior. Lastly, significant differences were present when examining egos' perceptions of alters' substance use between the networks of at-risk, light, and nondrinkers. Conclusions These findings provide empirical evidence of distinct clustering of Addictive Behavior among young adults and suggest the promise of social network-based interventions for this cohort.
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Delayed reward discounting and Addictive Behavior: a meta-analysis
Psychopharmacology, 2011Co-Authors: James Mackillop, Michael Amlung, Lawrence H. Sweet, Marcus R. MunafòAbstract:Rationale Delayed reward discounting (DRD) is a Behavioral economic index of impulsivity and numerous studies have examined DRD in relation to Addictive Behavior. To synthesize the findings across the literature, the current review is a meta-analysis of studies comparing DRD between criterion groups exhibiting Addictive Behavior and control groups. Objectives The meta-analysis sought to characterize the overall patterns of findings, systematic variability by sample and study type, and possible small study (publication) bias. Methods Literature reviews identified 310 candidate articles from which 46 studies reporting 64 comparisons were identified (total N = 56,013). Results From the total comparisons identified, a small magnitude effect was evident ( d = .15; p
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Delayed reward discounting and Addictive Behavior: a meta-analysis
Psychopharmacology, 2011Co-Authors: James Mackillop, Michael Amlung, Lauren R. Few, Lara A. Ray, Lawrence H. Sweet, Marcus R. MunafòAbstract:Rationale Delayed reward discounting (DRD) is a Behavioral economic index of impulsivity and numerous studies have examined DRD in relation to Addictive Behavior. To synthesize the findings across the literature, the current review is a meta-analysis of studies comparing DRD between criterion groups exhibiting Addictive Behavior and control groups.
Fuensanta López-rosales - One of the best experts on this subject based on the ideXlab platform.
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Measuring the relationship between social media use and Addictive Behavior and depression and suicide ideation among university students
Computers in Human Behavior, 2018Co-Authors: José Luis Jasso-medrano, Fuensanta López-rosalesAbstract:Abstract Addictive Behavior to social network sites is considered an alarming phenomenon where other psychopathological problems can be manifested. The purpose of the study is to analyze the relationship between the use and the Addictive Behavior of social media and the use of mobile devices, depression, and suicidal ideation. The questionnaires were applied to a sample of 374 university students where 58.6% were women and 41.4% men, with an average age of 20.01 years (SD = 1.84). Unlike the use of social media, Addictive Behavior was significantly related to depression and suicidal ideation. 36.1% of the sample reported having at least one idea in relation to suicide in the last two weeks. We propose an explanatory model that was adjusted appropriately and explained the Addictive Behavior with the frequency of mobile phone use, daily hours, depression, and suicidal ideation, the last one in a negative direction. It is concluded that, unlike excessive use, Addictive Behavior is associated with negative psychological characteristics. However, Addictive Behavior can also be considered a protective factor against suicidal ideation when relating to depression.
Marcus R. Munafò - One of the best experts on this subject based on the ideXlab platform.
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Delayed reward discounting and Addictive Behavior: a meta-analysis
Psychopharmacology, 2011Co-Authors: James Mackillop, Michael Amlung, Lawrence H. Sweet, Marcus R. MunafòAbstract:Rationale Delayed reward discounting (DRD) is a Behavioral economic index of impulsivity and numerous studies have examined DRD in relation to Addictive Behavior. To synthesize the findings across the literature, the current review is a meta-analysis of studies comparing DRD between criterion groups exhibiting Addictive Behavior and control groups. Objectives The meta-analysis sought to characterize the overall patterns of findings, systematic variability by sample and study type, and possible small study (publication) bias. Methods Literature reviews identified 310 candidate articles from which 46 studies reporting 64 comparisons were identified (total N = 56,013). Results From the total comparisons identified, a small magnitude effect was evident ( d = .15; p
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Delayed reward discounting and Addictive Behavior: a meta-analysis
Psychopharmacology, 2011Co-Authors: James Mackillop, Michael Amlung, Lauren R. Few, Lara A. Ray, Lawrence H. Sweet, Marcus R. MunafòAbstract:Rationale Delayed reward discounting (DRD) is a Behavioral economic index of impulsivity and numerous studies have examined DRD in relation to Addictive Behavior. To synthesize the findings across the literature, the current review is a meta-analysis of studies comparing DRD between criterion groups exhibiting Addictive Behavior and control groups.
José Luis Jasso-medrano - One of the best experts on this subject based on the ideXlab platform.
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Measuring the relationship between social media use and Addictive Behavior and depression and suicide ideation among university students
Computers in Human Behavior, 2018Co-Authors: José Luis Jasso-medrano, Fuensanta López-rosalesAbstract:Abstract Addictive Behavior to social network sites is considered an alarming phenomenon where other psychopathological problems can be manifested. The purpose of the study is to analyze the relationship between the use and the Addictive Behavior of social media and the use of mobile devices, depression, and suicidal ideation. The questionnaires were applied to a sample of 374 university students where 58.6% were women and 41.4% men, with an average age of 20.01 years (SD = 1.84). Unlike the use of social media, Addictive Behavior was significantly related to depression and suicidal ideation. 36.1% of the sample reported having at least one idea in relation to suicide in the last two weeks. We propose an explanatory model that was adjusted appropriately and explained the Addictive Behavior with the frequency of mobile phone use, daily hours, depression, and suicidal ideation, the last one in a negative direction. It is concluded that, unlike excessive use, Addictive Behavior is associated with negative psychological characteristics. However, Addictive Behavior can also be considered a protective factor against suicidal ideation when relating to depression.
Wenshan Lin - One of the best experts on this subject based on the ideXlab platform.
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role of social anxiety on high engagement and Addictive Behavior in the context of social networking sites
Drug Testing and Analysis, 2019Co-Authors: Wenshan Lin, Hong Ren Chen, Tony Szu Hsieh Lee, Joyce Yen FengAbstract:Purpose The purpose of this paper is to tackle the problem of technology addiction by investigating the differences between the antecedences of Addictive (problematic technology usage) and high-engagement Behavior (non-problematic technology usage). The case of social networking site usage (SNS, e.g. Facebook, Instagram or Twitter) is taken as the case out of the reason of prevalent user population. Design/methodology/approach It is revealed that people tend to use SNS not only for building a relationship, but also for communicating. In other words, there are inner needs of adopting the SNS technology. However, no clear definitions can be followed for determining the problematic SNS usage, Addictive Behavior and the high-engagement Behavior. Therefore, this study adopts the notion of uses and gratification theory (U&G theory) for investigating the SNS usage Behavior. Also, the social anxiety is also first introduced to integrate into the research for an empirical study. Findings Results reveal that gratification sought and relationship maintenance are associated with the Addictive Behavior, whereas the relationship maintenance is significantly related to high-engagement Behavior. Research limitations/implications First, the selected data represents a sample of SNW users in the Asian Pacific region and mainly from the group of young college users. Therefore, caution must be taken when generalizing the findings to other SNW users or groups. Second, the time aspect related to social media dependence may need to be considered in future studies. Third, the authors found marginal support for the influence of intentions of high engagement¸ and future studies may consider applying other theories that could better explain these types of Behavior. Practical implications The results of this study provide strong evidence that inner anxiety perceived by users should not be neglected while tackling the problematic internet use due to SNW addiction because it can strengthen the force for depending on SNW for seeking social support. Apart from the value of perceived enjoyment as asserted in previous studies, this study opens up a new opportunity to tackle SNW dependence. Social implications The key implication of this research is that the impact of the mental health of users on SNW problematic should not be overlooked . The higher the level of anxiety perceived, the more likely is the SNW dependence. Therefore, the online Behavior depending on psychological health should be addressed because it may be a critical point for assisting users to adopt SNW wisely. Originality/value This study confirms that social anxiety people experience in real (offline) life has impacts on online Behavior of SNS usage (online). It suggests that the difference between users as the perceived level of social anxiety can trigger different levels of SNS usage. Second, U&G theory is proven valid in understanding SNS addiction. Third, relationship maintenance through the use of SNS reveals its dissimilar effects on SNS addiction and high engagement.