AI Article Synopsis

  • The study aims to explore the relationship between HEXACO personality traits and both substance use disorders and behavioral addictions, addressing a gap in existing research.
  • The systematic review will gather data from various databases, focusing on peer-reviewed studies that examine this relationship across different populations.
  • The analysis will include a detailed assessment of study quality, bias evaluation, and potential meta-analyses to consolidate findings if sufficient data is available.

Article Abstract

Background: While research has explored the connection between addiction and personality, no systematic study has examined how substance use disorders (SUD) and behavioral addictions specifically relate to the HEXACO model of personality. This systematic review and meta-analysis aim to fill this gap by investigating the association between HEXACO personality traits and various addictions, including illegal substances (e.g., narcotics and cannabis) and behavioral addictions (e.g., gambling, gaming, social media addiction, and compulsive sexual behavior disorder) across different populations.

Methods: The protocol is in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. Searches will be conducted in databases including APA PsycINFO (Ovid), MEDLINE (Ovid), ProQuest, Web of Science, CINAHL, Wiley Online Library, and Google Scholar. Empirical studies published as full papers in peer-reviewed journals or as full dissertations, in English, other European languages, or Persian, investigating the association between HEXACO personality traits and addictive disorders are eligible. Two reviewers will independently screen all citations and full-text articles, and extract data using the Covidence software. They will further assess the risk of bias and quality of the studies using the Newcastle-Ottawa Scale (NOS) for longitudinal and cohort studies, an adapted version of the NOS for cross-sectional studies. Publication bias will be evaluated using funnel plots, Egger's test, and trim and fill analysis. In addition to a narrative summary, meta-analyses will be conducted if data are sufficient. Random effects models will be used to pool effect sizes. Subgroup analyses and meta-regression will be performed to investigate potential sources of heterogeneity. Sensitivity analyses will examine the robustness of the results. Data analysis will be conducted using Comprehensive Meta-Analysis (CMA), version 4.

Discussion: This review and meta-analysis will be the first to systematically explore and integrate the evidence available on the association between the HEXACO personality traits and SUD and behavioral addictions. By consolidating information, the study will enhance our understanding of the role of personality traits in the development, maintenance, and treatment of SUD and behavioral addictions.

Systematic Review Registration: PROSPERO CRD42023468153.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694390PMC
http://dx.doi.org/10.1186/s13643-024-02741-8DOI Listing

Publication Analysis

Top Keywords

personality traits
20
hexaco personality
16
behavioral addictions
16
review meta-analysis
16
systematic review
12
sud behavioral
12
association hexaco
12
will conducted
12
will
11
substance disorders
8

Similar Publications

Identification and characterization of ClAPRR2, a key candidate gene controlling watermelon stripe color.

Plant Sci

January 2025

Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China; College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China. Electronic address:

The stripe color of watermelon is a vital commercial trait and is the focus of attention of consumers and researchers. However, the genetic determinants of watermelon stripe color are incompletely understood. Based on the results of preliminary localization studies, we constructed a large-capacity F generation population (710 plants) using light-green striped ZXG1555 and green-striped Cream of Saskatchewan (COS) watermelon strains as parental lines for fine mapping.

View Article and Find Full Text PDF

Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.

View Article and Find Full Text PDF

This study aims to address the fragmented understanding of the antecedents of social media addiction (SMA) by examining key factors and their roles as necessary and sufficient conditions. By integrating key variables from previous research, including the Dark Triad traits, self-regulation, social anxiety, and Fear of Missing Out (FoMO), the study investigates their relationships with SMA. Data were collected through 369 questionnaires and analyzed using regression analysis and Necessary Condition Analysis (NCA).

View Article and Find Full Text PDF

Agricultural management significantly affects insects, especially pollinators, which are crucial for crop pollination and biodiversity. In agricultural landscapes, various factors spanning different spatial scales are known to affect pollinator health, which, in turn, can influence pollination services. However, the importance of these factors in driving the health and performance of different pollinator groups remains unclear.

View Article and Find Full Text PDF

Uncovering the multi-fencing effects: Changes in plant diversity across dimensions and spatio, and the relationship between diversity and stability.

J Environ Manage

January 2025

Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Electronic address:

Plant diversity is fundamental to maintaining grassland ecosystem function. Rangeland managers use fencing as a strategy to enhance plant diversity in degraded grasslands. However, the effects of this natural management approach on grasslands across a wide range of environmental gradients and its spatial pattern remain unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!