Summary: NEW YORK (Reuters Health) – Addiction has been linked to certain personality traits and mental illnesses, according to a new study. The researchers found that those with higher scores for personality traits of neuroticism and those with depression and anxiety were at higher risk for SUD.
Source: Chinese Academy of Sciences
Substance abuse disorders (SUD) include symptoms of addiction and drug and alcohol abuse. SUDs are often complicated by repetitive patterns of rest-rehabilitation and mental illness.
The personality traits of people with SUD may also be contributing factors to subsequent substance use.
It is possible that the SUD reflects the complex interaction between substance use, clinical manifestations, and personality traits.
The relationship between substance use and clinical symptoms may be oriented in nature. For example, clinical symptoms caused by drugs or withdrawals are well recognized. On the other hand, some theorists suggest that clinical patients may use the substance in the form of “self-medication”.
Such complex relationships between SUD features and symptoms and personality are best examined using network analysis. However, little research has examined this relationship.
To address this, Dr. Raymond Chan from the Institute of Psychology of the Chinese Academy of Sciences, along with Dr. Simon Lui at the University of Hong Kong and Dr. J Poon and Lam Ming at Castle Peak Hospital recruited 391 SUD patients seeking treatment and measured substance use, clinical and personality dependence features using a validated scale.
Network analysis was performed to establish a regular segmental communication network and to estimate central indices such as strength, intimacy, spacing, and expected influence. In addition, the relative importance of each node is estimated with the use of the substance and the severity of the dependent features as dependent variables.
The results show that the communication network is the most interconnected and regular part. The forecast index suggests that regular segmental communication is “self-sustaining”.
In addition, neuroticism, which is a personality trait, showed the highest intimacy index. Depression, anxiety, and “general” symptoms in the positive and negative symptom scales showed the highest expected effects.
In relation to the results of the analysis, the significance associated with depressive symptoms, anxiety symptoms, and ‘general’ symptoms significantly determined the variability of medication use and the severity of dependence.
Together, the symptoms of depression and anxiety seem to be possible intervention targets to disrupt SUD’s self-sustaining system.
Dr. Chan and his collaborators plan to follow up on this group and investigate the temporary stability of the regular segment network, and to include additional remedial measures on reward learning to see if such cognitive dysfunction exists. This can be helpful. Intervention goals.
About this addiction and personality research information
Author: Mr. Zhang Nannan
Source: Chinese Academy of Sciences
Contact: Zhang Nannan – Chinese Academy of Sciences
Image: Image is in public domain
Early research: Access disabled.
“Interactions between Addictive and Psychological Behaviors and Personalities in Substance Abuse Problems: A Network Analysis in the Treatment of Patients Seeking Alcohol and Drug Use” by Johannes YK Poon et al. International Journal of Mental Health and Addiction
Interactions between Addiction and Psychology and Personality in Substance Abuse Problems: Network Analysis in Treatment, Finding Patients with Alcohol and Drug Use
Substance Abuse Disorder (SUD) is characterized by alcohol and drug use, peculiarities of dependence, and adverse psychological consequences. SUD represents the interaction between substance use, personality, anxiety, and psychology.
Network analysis is a powerful way to examine the direct and indirect relationship between variables and to understand the SUD as a self-sustaining system.
We examined the network structure of addictive behaviors, personality disorders, anxiety, and psychosis in people seeking treatment with SUD. This cross-sectional network analysis used a convenience model of 391 patients seeking treatment with SUD in an addiction psychiatric clinic.
We measured drug and alcohol use, addiction, and psychology using a physician-assessed scale.
Personality and arousal were measured using self-reporting tools. LASSO network, center index and network stability were estimated. We also estimated the relative importance of network nodes in determining drug and alcohol use levels and severity of dependence.
The LASSO network, the domain level of additional behavior, psychological variables, characteristics of the five major inventory (BFI) and excitability, formed a highly correlated network. BFI-neuroticism is at the center of the network with the highest proximity index.
Depressive symptoms, anxiety symptoms, and ‘general’ symptoms in the positive and negative symptom scales showed the highest effect and prognosis. The average projection of the network suggested a self-supporting system. The three psychopathological nodes significantly identified differences in drug use and severity of dependence.
The SUD network structure is influenced by anxiety and depressive symptoms. Physicians should detect and intervene in these symptoms to disrupt the self-supporting system of the SUD.