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Comorbidity of problematic substance use and other addictive behaviors and anxiety, depression, and post-traumatic stress disorder: a network analysis.

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Title: Comorbidity of problematic substance use and other addictive behaviors and anxiety, depression, and post-traumatic stress disorder: a network analysis.
Authors: Shmulewitz, Dvora, Levitin, Maor Daniel, Skvirsky, Vera, Vider, Merav, Eliashar, Roi, Mikulincer, Mario, Lev-Ran, Shaul
Source: Psychological Medicine. Dec2024, Vol. 54 Issue 16, p4635-4645. 11p.
Subjects: Mental depression risk factors, Substance abuse, Post-traumatic stress disorder, Risk assessment, Cross-sectional method, Statistical correlation, Compulsive behavior, Jews, Human sexuality, Anxiety, Descriptive statistics, Sex customs, Research, Opioid analgesics, Comorbidity, Disease complications
Geographic Terms: Israel
Abstract: Background: Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used. Methods: In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model. Results: Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use. Conclusions: Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Comorbidity of problematic substance use and other addictive behaviors and anxiety, depression, and post-traumatic stress disorder: a network analysis.
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  Data: <searchLink fieldCode="AR" term="%22Shmulewitz%2C+Dvora%22">Shmulewitz, Dvora</searchLink><br /><searchLink fieldCode="AR" term="%22Levitin%2C+Maor+Daniel%22">Levitin, Maor Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Skvirsky%2C+Vera%22">Skvirsky, Vera</searchLink><br /><searchLink fieldCode="AR" term="%22Vider%2C+Merav%22">Vider, Merav</searchLink><br /><searchLink fieldCode="AR" term="%22Eliashar%2C+Roi%22">Eliashar, Roi</searchLink><br /><searchLink fieldCode="AR" term="%22Mikulincer%2C+Mario%22">Mikulincer, Mario</searchLink><br /><searchLink fieldCode="AR" term="%22Lev-Ran%2C+Shaul%22">Lev-Ran, Shaul</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Psychological+Medicine%22">Psychological Medicine</searchLink>. Dec2024, Vol. 54 Issue 16, p4635-4645. 11p.
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  Data: Background: Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used. Methods: In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model. Results: Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use. Conclusions: Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=182451613
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      – Type: doi
        Value: 10.1017/S0033291724002794
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 4635
    Subjects:
      – SubjectFull: Mental depression risk factors
        Type: general
      – SubjectFull: Substance abuse
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      – SubjectFull: Post-traumatic stress disorder
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      – SubjectFull: Risk assessment
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      – SubjectFull: Opioid analgesics
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              M: 12
              Text: Dec2024
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              Y: 2024
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