Could childhood trauma types predict the relapse in alcohol use disorder?

Umut, Gökhan; Evren, Cüneyt; Ünal, Gülşen Teksin

doi:10.1016/j.ajp.2016.12.009

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…Although the best preforming (rs-fMRI feature) model explains a notable percentage of the variance associated with AUD severity, >60% remains for other factors. A portion of that may be unexplainable, but demographic features, individual differences, genetics, and family dynamics may contribute to prediction of alcohol use severity and outcomes (Behrendt et al, 2017; Oslin et al, 2003; Rosenström et al, 2017; Umut et al, 2017). Although demographic/behavioral variables (i.e., age, IQ, gender, years of education, smoking) were not significantly related to AUDIT in our sample, AUD individuals tend to differ from non-substance using individuals on many of these traits.…”

Section: Discussionmentioning

confidence: 99%

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users

Fede

Grodin

Dean

et al. 2019

NeuroImage: Clinical

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Background In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry of AUD call for a quantitative and dimensional approach. Previous imaging studies find differences in brain structure, function, and resting-state connectivity in AUD, but few use a multimodal approach to understand the association between severity of alcohol use and the brain differences. Methods Adults (ages 22–60) with problem drinking patterns ( n = 59) completed a behavioral and neuroimaging protocol at the National Institutes of Health. Alcohol severity was quantified with the Alcohol Use Disorders Identification Test (AUDIT). In a 3 T MRI scanner, participants underwent a structural MRI as well as resting-state, monetary incentive delay, and face matching fMRI scans. Machine learning was applied and trained using the neural data from MRI scanning. The model was tested for generalizability in a validation sample ( n = 24). Results The resting state-connectivity features model best predicted AUD severity in the naïve sample, compared to task fMRI, structural MRI, combined MRI features, or demographic features. Network connectivity features between salience network, default mode network, executive control network, and sensory networks explained 33% of the variance associated with AUDIT in this model. Conclusions These findings indicate that the neural effects of AUD vary according to severity. Our results emphasize the utility of resting state fMRI as a neuroimaging biomarker for quantitative clinical evaluation of AUD.

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Section: Discussionmentioning

confidence: 99%

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users

Fede

Grodin

Dean

et al. 2019

NeuroImage: Clinical

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“…It suggested that negative parenting could have impacted emotional self-regulation, resulting in more significant experience of withdrawal symptoms. A number of surveys have linked childhood trauma with the development and exacerbation of substance use disorders (SUDs) in the form of deteriorated addictive symptoms, cravings, and relapse in both heavy drinkers ( 19 , 33 ) and cocaine users ( 34 , 35 ). Experiences with psychological, physical, or sexual abuse increase the risk of depressive disorders ( 36 ), antisocial personality disorders, and suicide attempts ( 37 , 38 ).…”

Section: Discussionmentioning

confidence: 99%

The motivation against change in male methamphetamine users in the compulsory detoxification setting

Shen

Liu

et al. 2023

Front. Psychiatry

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AimsThe study was designed to develop a measurement for the motivation for and against change in methamphetamine users in the compulsory detoxification setting.DesignThis is a cross-sectional study.SettingThe study was carried out in a compulsory detoxification center for male drug users in China.ParticipantsA total of 228 male methamphetamine users who had undergone the program for at least 30 days.MeasurementsThe motivation for/against change relating to compulsory detoxification was carried out using the Likert scale. A series of questionnaires were filled out by the participants, including the Egna Minnen Beträffande Uppfostran for rearing style, the Barratt Impulsiveness Scale-11, the adult ADHD self-report scale, and the Pittsburgh sleep quality index. Participants were also asked to recall the withdrawal symptoms before the program and to rate their current craving levels.FindingsMotivations were grouped into three factors, namely, the expectation to use drugs upon the completion of the program (factor 1), the disagreement with the compulsory setting (factor 2), and the motivation to quit drug use (factor 3). Cronbach's alpha values were 0.8037, 0.8049, and 0.6292, respectively. The structural equation model showed that the overall motivation was characterized by motivation against change rather than that for change. The overall motivation was also directly affected by the current craving level and indirectly affected by the severity of addiction, paternal authoritarian upbringing style, and ADHD traits.ConclusionThis study provided a measurement of motivation for and against change in subjects with drug misconduct and suggested that the motivation against change may disclose more psychological barriers than the motivation for change.

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“…Multiple studies have linked ELA to early initiation of alcohol use, the severity of AUD and the recurrence of drinking in individuals with AUD 5,16–18 . Although the exact mechanisms underlying the link between ELA and AUD in adulthood are not fully understood, several potential causes have been investigated, with both biological and environmental factors hypothesized to be involved 5,19 .…”

Section: Introductionmentioning

confidence: 99%

“…14,15 Multiple studies have linked ELA to early initiation of alcohol use, the severity of AUD and the recurrence of drinking in individuals with AUD. 5,[16][17][18] Although the exact mechanisms underlying the link between ELA and AUD in adulthood are not fully understood, several potential causes have been investigated, with both biological and environmental factors hypothesized to be involved. 5,19 For example, experiences of ELA have been associated with dysregulation of reward neurocircuitry, leading to alterations in motivation and addiction vulnerability/progression.…”

Section: Introductionmentioning

confidence: 99%

Investigating the relationship between early life adversity, inflammation and alcohol use

et al. 2023

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Early life adversity (ELA) has long‐lasting and potentially harmful effects on adult mental and physical health, including a higher likelihood of developing psychiatric conditions such as depression, anxiety and alcohol use disorder (AUD). It has been suggested that inflammation may play a role in linking ELA to the development of AUD. Here, we evaluated a number of predictive factors of high sensitivity C‐reactive protein (hsCRP), a key inflammatory marker, and the potential mediating role of hsCRP in the relationship between ELA and alcohol misuse in adulthood. Data was collected from participants who participated in NIAAA screening protocols between January 2013 and December 2019. In this secondary analysis, we first tested, via multiple linear regression, potential predictors of hsCRP levels among adults with AUD (N = 781) and non‐AUD (N = 440) individuals. We subsequently conducted mediation analyses to evaluate the potential role of hsCRP in the relationship between early life stress and alcohol use. Regression analysis showed that stress in early life, but not childhood trauma, significantly predicted increased hsCRP levels in adulthood (p < 0.05). Additionally, a greater amount of alcohol drinking, but not a diagnosis of AUD, significantly predicted increased hsCRP levels (p < 0.05). Furthermore, hsCRP mediated the relationship between early life stress and alcohol consumption. Early life stress and heavier alcohol drinking both predicted increased hsCRP levels; however, an AUD diagnosis did not. Elevated inflammation, due to and/or predicted by greater early life stress, may contribute to the development of unhealthy alcohol use in adulthood.

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Could childhood trauma types predict the relapse in alcohol use disorder?

Cited by 7 publications

References 7 publications

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users

The motivation against change in male methamphetamine users in the compulsory detoxification setting

Investigating the relationship between early life adversity, inflammation and alcohol use

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