An Empirically Based Typology of Alcohol Users in a Community Sample Using Latent Class Analysis

Horváth, Zsolt; Paksi, Borbála; Felvinczi, Katalin; Griffiths, Mark D.; Demetrovics, Zsolt

doi:10.1159/000501516

Cited by 15 publications

(6 citation statements)

References 23 publications

(66 reference statements)

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“…While earlier typological models detected externalizing and anxio-depressive symptoms as hallmarks of separate subpopulations [15][16][17], our study identified that these could co-occur. This finding is also in line with the results of Horva ´th et al [30] who detected that a subgroup of alcohol users in a community sample is characterized by both increased externalizing and anxio-depressive symptoms. Based on our results, externalizing symptom characteristics not just have a group-forming role helping in disentangling the heterogeneity of the diagnostic category of AUD, but is suitable for detecting subgroups characterized with concomitant anxio-depressive features, thus a more severe subgroup of AUD.…”

Section: Discussionsupporting

confidence: 92%

“…That is, LPA can contribute to having more precise classification models than other, more arbitrary classification methods (e.g., splitting participants into categories based on median, and/or quartiles). The present analytical approach was in line with previous latent class analytic studies which examined the link between problematic alcohol use and psychopathological symptoms [30]. The estimated models contained three continuous and observed indicator variables: aggression, novelty seeking and impulsivity.…”

Section: Discussionmentioning

confidence: 88%

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Externalizing personality characteristics define clinically relevant subgroups of alcohol use disorder

et al. 2022

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Aims Higher levels of externalizing characteristics, i.e. impulsivity, novelty seeking and aggression, could contribute to the development, progression and severity of alcohol use disorder (AUD). The present study aims to explore whether these externalizing characteristics together have a potential group-forming role in AUD using latent profile analysis (LPA). Methods Externalizing characteristics of 102 AUD patients were analyzed using LPA to explore the group-forming role of externalizing symptoms; groups were compared in terms of demographic and alcohol-related variables, indices of psychopathological, depressive and anxiety symptom severity. Results LPA revealed and supported a two-group model based on externalizing symptoms. The group with higher levels of externalizing symptoms showed significantly elevated levels of alcohol-related and anxio-depressive symptoms. Conclusions Externalizing characteristics converge and have a group-forming role in chronic AUD, and are associated with a more severe form of AUD. By making the diagnostic category less heterogeneous, these different subtypes within AUD may provide aid in tailoring treatments to patients’ specific needs.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 88%

Externalizing personality characteristics define clinically relevant subgroups of alcohol use disorder

et al. 2022

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“…, 2015 ). Also, in alcohol users in general, higher levels of alcohol use are associated with higher levels of depressive symptoms ( Horváth et al. , 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Digital Interventions for People With Co-Occurring Depression and Problematic Alcohol Use: A Systematic Review and Meta-Analysis

Schouten

Christ

Dekker

et al. 2021

Alcohol and Alcoholism

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Aims This systematic review and meta-analysis assessed the effectiveness of digital interventions addressing depressive symptoms and alcohol use simultaneously among people with co-occurring depression and problematic alcohol use. Methods Seven databases were searched for trials evaluating digital interventions aimed at depression and alcohol use. Random-effects meta-analyses were conducted to pool effects on depressive symptoms and alcohol use up to 3-month and 6-month follow-up. Overall quality for every outcome was assessed with GRADE (Grading of Recommendations Assessment, Development and Evaluation). Results The pooled effect of digital interventions compared to their comparators was in favour of digital interventions. Small but significant effects on depressive symptoms at 3-month follow-up were found (g = 0.34, 95% confidence interval (CI): 0.06–0.62, P = 0.02, k = 6) and non-significant effects at 6-month follow-up (g = 0.29, 95% CI: −0.16 to 0.73, P = 0.15, k = 5). For alcohol use, the pooled effect of digital interventions was small and non-significant at 3-month follow-up (g = 0.14, 95% CI: −0.02 to 0.30, P = 0.07, k = 6) and significant at 6-month follow-up (g = 0.14, 95% CI: 0.07–0.20, P = 0.005, k = 5). Sensitivity analysis indicated the latter finding to be sensitive to statistical estimator choice. Quality of evidence was moderate, except for depressive symptoms at 6-month follow-up for which it was low. Conclusion Based on the literature, digital interventions are effective in reducing depressive symptoms at 3-month follow-up and alcohol use at 6-month follow-up among people with comorbid depression and problematic alcohol use. More high-quality trials are needed to confirm the current findings.

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“…It is possible that other addictive disorders (e.g., alcohol dependence or other substance use disorders), out of the scope of the present study, might have worsened and/or displaced the behaviors studied during these stressful times ( Acuff et al, 2021 ; Xu et al, 2021 ). For example, alcohol use disorder was a prevalent health issue in Hungary before the pandemic ( Horváth et al, 2019 ; World Health Organization, 2019a ) and it might have increased during the COVID-19 pandemic.…”

Section: Discussionmentioning

confidence: 99%

No Significant Changes in Addictive and Problematic Behaviors During the COVID-19 Pandemic and Related Lockdowns: A Three-Wave Longitudinal Study

et al. 2022

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IntroductionThe COVID-19 outbreak and related lockdowns brought substantial changes in people’s lives and led to concerns about possible increases of addictive behaviors at the initial stages of the pandemic. To examine these concerns, the aim of the present study was to assess longitudinal changes in addictive and problematic behaviors (i.e., problematic social media use, Internet gaming disorder, gambling disorder, problematic pornography use, and compulsive sexual behavior disorder) over time during the COVID-19 pandemic.MethodsThree waves of data collection took place in different stages of the COVID-19 outbreak in Hungary in a general population, from the first wave of lockdowns to the second and third waves of restrictions (May, 2020; NT1 = 1747; June–August, 2020; NT2 = 656; January, 2021; NT3 = 411). Latent growth curve models were calculated to assess the potential changes in addictive and problematic behaviors over time.ResultsLatent growth curve models showed that the sample varied in their initial scores, but there were no significant changes over time in any of the examined behaviors, except for compulsive sexual behavior disorder, which demonstrated a small but significant increase (i.e., positive and significant slope factor). However, the rate of this change was negligible. Overall, there were no noteworthy changes over time regarding any of the examined addictive and problematic behaviors.ConclusionContrary to initial concerns, no substantial changes over time were observed regarding the examined addictive behaviors during the COVID-19 pandemic and related lockdowns. These findings indicate that those who had no previous problem with these addictive behaviors, might have not developed a problem, and those who had problem with either of the behaviors previously, might have not experienced a significant increase in their symptoms.

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An Empirically Based Typology of Alcohol Users in a Community Sample Using Latent Class Analysis

Abstract: An empirically based typology of alcohol users in a Hungarian community sample using latent class analysis. European Addiction Research, in press. Short title: An empirically based typology of alcohol users in a community sample

Cited by 15 publications

References 23 publications

Externalizing personality characteristics define clinically relevant subgroups of alcohol use disorder

Externalizing personality characteristics define clinically relevant subgroups of alcohol use disorder

Digital Interventions for People With Co-Occurring Depression and Problematic Alcohol Use: A Systematic Review and Meta-Analysis

No Significant Changes in Addictive and Problematic Behaviors During the COVID-19 Pandemic and Related Lockdowns: A Three-Wave Longitudinal Study

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