Gambling Disorder
Gambling disorder involves repeated problematic gambling behavior that causes significant problems or distress. It is also called gambling addiction or compulsive gambling.
Cluster Number:
Wiki Number: W087
Diagnosis: Gambling Disorder-Problem Gambling
US Patients: 6/10 of 1%
World Patients:
Sex Ratio: M+;W
Age Onset:
Brain Area: lower level of norepinephrine, which is secreted during gambling stress and thrills; less serotonin or opioids
Symptoms: Gambler uses increasing amounts of money, from others, preoccupied, done often when distressed to “make up losses”
Progression: with lying, losing significant relationships and opportunities, is irritable and refuses to quit, may have substance abuse
Causes: impulsivity, seeking to activivate brain reward systems so defined as addiction, vs. OCD based on brain’s fear mechanisms
Medications: antidepressants in Britain, but not approved in the US by the FDA; lithium
Therapies: “Gamblers’ Anonymous”; CBT-metacognitive training; self-excluson-enforced by face-recognition cameras in casinos
Youtube Video: 10 Signs You Are Addicted to Gambling:
Stop Casino and Online Gambling
Amazon or Library Book:
The Gambling Addiction Recovery Workbook
Click the book to link or buy from Amazon.
Support Group: smartrecovery.org (The website includes a directory of area meetings.) or Gamblers Anonymous; 888-987-1784
4 CURRENT ARTICLES
FROM PUBMED
The world-wide medical research
reports chosen for each diagnosisÂ
Clicking each title opens the
PubMed article’s summary-abstract.
- A Cross-Sectional Survey to Measure Attitude, Self-Reported Practice, Levels, Typology, and Determinants of Lifetime Gambling Behaviors Among Undergraduate Students in Higher Training Institutions, Tanzaniaby George T Salama on October 31, 2024
Lifetime gambling activities and behaviors are considered as potentially addictive behaviors that may impact a student's performance. According to a survey conducted in Tanzanian's higher training institutions, for example, 37.2% of sports gamblers were students. This study employed an institutional-based cross-sectional survey in a quantitative research approach to study 374 randomly sampled undergraduate students in higher training institutions in Dodoma region, Tanzania from June to July...
- The Comprehensive Adversity Measure (CAM): A measure of early adversity and its severityby Pascal Schlechter on October 31, 2024
CONCLUSIONS: The CAM offers a psychometrically-sound, content-wise comprehensive, and free to use assessment of early adversity.
- Institutional investment in addictive industries: an important commercial determinant of healthby SĂ©bastien Berret on October 29, 2024
CONCLUSION: Addictive industries, such as tobacco, alcohol, gambling, and recreational cannabis, are increasingly excluded by investors. However, different understandings of RI influence how sector exclusions are implemented. Divesting from tobacco and other addictive industries is a crucial step toward a public health approach that prioritizes population health over financial profits. Prominent institutional investors are influential opinion leaders who can change the behavior of other...
- Prediction of Suicidal Thoughts and Suicide Attempts in People Who Gamble Based on Biological-Psychological-Social Variables: A Machine Learning Studyby Mohsen Mohajeri on October 28, 2024
Recent research has shown that people who gamble are more likely to have suicidal thoughts and attempts compared to the general population. Despite the advancements made, no study to date has predicted suicide risk factors in people who gamble using machine learning algorithms. Therefore, current study aimed to identify the most critical predictors of suicidal ideation and suicidal attempts among people who gamble using a machine learning approach. An online survey conducted a cross-sectional...