Addictive Behaviors Reports最新文献

Introduction

Losses disguised as wins (LDWs) are a salient type of losing outcome common to electronic gambling machines (EGMs). These events occur when a gambling payout is less than the amount wagered (i.e., a net loss) but is nonetheless accompanied by the sounds and animations that accompany genuine wins. Previous lab-based studies have reported that participants tend to overestimate genuine wins when LDWs are present. This study reports an independent replication of these findings in a large online sample that included a substantial number of individuals reporting high-risk gambling and frequent EGM users.

Methods

This online study recruited a sample of 940 participants who were randomly assigned to view one of two brief videos. Each video displayed a short period of simulated online slot machine gambling and included 2 genuine wins and either 3 or 0 LDWs. Participants were asked to estimate the number of times a win occurred that was more than the amount bet. Participants also completed the Problem Gambling Severity Index.

Results

The mean estimated number of genuine wins was significantly larger for the condition displaying LDWs, 3.02 [95% CI = 2.82, 3.21] than the control condition, 2.14 [1.98, 2.30], t(887.66) = 6.78, d = 0.44, p <.001.

Conclusions

We replicated the LDW‐triggered win overestimation effect previously reported in lab-based experiments that have recruited smaller samples. This effect was robust in both low-risk and high-risk groups, indicating that even experienced gamblers remain susceptible. Exploratory modelling suggested only a minority of individuals were uninfluenced by LDWs.

Background

Lifetime prevalence of non-medical prescription opioid use (NMPOU) among adolescents exceeds 10%. Building on that work, we estimate lifetime and recent (i.e., past 30-day) NMPOU and examine associations with alcohol and cannabis use.

Methods

We used 2019 YRBS data from 38 states with a question on lifetime NMPOU (n = 151,910), a subsample of 8 states also inquired about recent NMPOU (n = 28,439). We estimated the prevalence and frequency of NMPOU for boys and girls in each state. Multivariable logistic regression was used to derive odds ratios (OR) and 95% confidence intervals (CIs) representing recent NMPOU in association with alcohol and cannabis use adjusting for state, race/ethnicity, and grade.

Results

The prevalence of lifetime NMPOU ranged from 9.4% to 22.7% for girls and 8.6% to 23.2% for boys; significant sex difference in Florida. Recent NMPOU among lifetime users ranged from 33.0% to 50.7% for girls and 40.7% to 52.3% for boys, no significant sex differences. Students reporting recent NMPOU had significantly higher odds of recent alcohol (OR: 5.1, 95% CI: 4.3–6.1) and cannabis use (OR: 3.7, 95% CI: 2.8–4.8). Higher frequency (1–2 and ≥ 3 times vs. 0 times) of NMPOU had significantly greater odds of alcohol (3–9-fold) and cannabis use (3–5-fold). The magnitude of association was higher for boys compared to girls.

Conclusion

The prevalence of recent NMPOU among lifetime users is high and is associated with alcohol and cannabis use. NMPOU can be a steppingstone towards other forms of opioid use therefore, opioid prevention programs should emphasize prescription drug misuse and consider socio-contextual and geographical variations.

Introduction

Gambling can cause negative consequences affecting finances, work/study, physical and mental health, relationships, law abidingness, and the community. Although existing measures enable investigations of gambling harms, there is still a need for a brief measure covering the full range of gambling related harms.

Methods

We validated a 7-item domain-general harm scale (DGHS-7) using data from a cross-sectional survey of United Kingdom residents reporting gambling within the last 12 months (n = 2558, 62.4% women, mean age 40.1 years (SD = 12.5)). The DGHS-7 was investigated in terms of factor structure, measurement invariance, and convergent validity with a comprehensive 72-item checklist of gambling harm, the Short Gambling Harms Screen (SGHS), and the Problem Gambling Severity Index (PGSI). Discriminative validity was checked against the Personal Wellbeing Index (PWI). Internal consistency was also calculated.

Results

Confirmatory factor analysis supported a one-factor solution (χ² = 136.991, df = 14, χ²/df = 9.785, p <.001, CFI = 0.999, RMSEA = 0.059, 90% CI [0.050, 0.068]). Measurement invariance was supported for gender and binary categorization of age and income (ΔCFI = 0.001). The DGHS-7 correlated strongly with the 72-item checklist (r_s = 0.824), the SGHS (r_s = 0.793), the PGSI (r_s = 0.768), and moderately with the PWI (r_s = -0.303). Cronbach’s alpha = 0.91 and ordinal alpha = 0.96 indicated good internal consistency.

Conclusions

Psychometric support was found for a brief measure covering all recognized domains of gambling harm. The DGHS-7 is useful for researchers needing a generic and short measure for epidemiological and other studies calling for short scales.

Introduction

For adolescents, parental problem drinking can be regarded as a chronic stressor, negatively affecting their health. There is limited knowledge and a relative lack of empirical evidence on this topic, especially in Sweden. The aim of the current study was to examine perceived parental alcohol problems and the links with psychosomatic complaints among adolescents in Sweden.

Methods

Data were obtained from the Swedish Council for Information on Alcohol and Other Drugs’ national survey of 2021, collected amongst 9,032 students in grades 9 (∼15–16 years) and 11 (∼17–18 years). Perceived parental alcohol problems were measured by the Children of Alcoholics Screening Test (CAST-6) scale, using a cutoff at ≥ 3. Psychosomatic complaints were captured by a binary measure based on the frequency of headache, stomach ache, feeling depressed or down, difficulties to fall asleep, and sleeping poorly at night. Sociodemographic characteristics included gender, grade, parental education, and parental country of birth. Descriptive analyses with chi2 tests and binary logistic regression analyses were performed.

Results

Adolescents with perceived parental alcohol problems had higher odds of reporting psychosomatic complaints compared with adolescents without perceived parental drinking problems, even when adjusting for sociodemographic characteristics. Girls, grade 11 students, adolescent with at least one parent born in Sweden, and those without university-educated parents were more likely to report parental alcohol problems.

Conclusions

The findings highlight adolescents with perceived parental alcohol problems need support. The school, being an arena where adolescents spend much of their time, may play a vital role in this regard.

Introduction

Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of ‘Social Media Addiction’ [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise.

Methods

A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented.

Results

Three distinct profiles were revealed, based on the severity of one’s SMA symptoms: ‘low’, ‘moderate’ and ‘high’ risk. Subsequent ANOVA analyses suggested that participants classified as ‘high’ risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions.

Conclusions

Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions.

The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including ‘Group A’ (n = 68; 65.4 %) and ‘Group B’ (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (P < 0.05 for all comparisons). Clusters of PP-OUD differed with respect to sociodemographic characteristics, mental health conditions, and substance use patterns. More research is needed to confirm identified profiles and assess treatment outcomes associated with cluster membership.

Introduction

Though double-blind studies have indicated that hydromorphone and diacetylmorphine produce similar effects when administered through injectable opioid agonist treatment (iOAT) programs, participant preference may influence some aspects of medication dispensation such as dose.

Methods

 This is a retrospective longitudinal analysis. Participants (n = 131) were previously enrolled in a double-blind clinical trial for iOAT who continued to receive treatment in an open-label follow up study. Data included medication dispensation records from 2012 to 2020. Using linear regression and paired t-tests, average daily dose totals of hydromorphone and diacetylmorphine were examined comparatively between double-blind and open-label periods. A subgroup analysis explored dose difference by preference using the proxy, blinding guess, a variable used to facilitate the measurement of treatment masking during the clinical trial by asking which medication the participant thought they received.

Results

During the open-label period, participants prescribed diacetylmorphine received 49.5 mg less than during the double-blind period (95% CI −12.6,-86.4). Participants receiving hydromorphone did not see a significant dose decrease. Participants who guessed they received hydromorphone during the clinical trial, but learned they were on diacetylmorphine during the open-label period, saw a decrease in total daily dose of 78.3 mg less (95% CI −134.3,–22.4) during the open-label period.

Conclusion

If client preference is considered in the treatment of chronic opioid use disorder, clients may be able to better moderate their dose to suit their individual needs. Together with their healthcare providers, clients can participate in their treatment trajectories collaboratively to optimize client outcomes and promote person-centered treatment options.

Gaming disorder (GD) has been recognized as a mental health problem, resulting in adverse and psychosocial consequences. Although previous evidence suggests poorer self-concept clarity (SCC) and avatar identification are associated with GD, less is known about the mediating role of body-image coping strategies (appearance-fixing and avoidance, a form of escapism) in this relationship. A total of 214 Italian online gamers (64 % males) were anonymously recruited online by posting the survey link on social media gaming forums and other online sites. The participants’ ages ranged from 18 to 59 years (M = 24.07 years, SD = 5.19). The results of the correlational analysis showed that SCC was negatively related to GD, whereas body coping strategies and avatar-identification were positively associated with GD. Avoidance fully mediated the association between SCC and GD. Moreover, appearance-fixing and avatar-identification were full serial mediators between SCC and GD. Overall, the results of the present study suggest potential pathways for understanding the underlying determinants of GD, which can help in the design of intervention programs to help reduce the risk of GD among players.

Introduction

Previous research has established co-occurrence between substance use disorders (SUDs) and gambling disorder (GD). Less well understood is the temporal sequencing of onset between these disorders, and in particular whether SUD is a risk factor for GD. The present study examined the temporal order between registered diagnoses of SUD and GD, stratified by sex.

Methods

A study with a longitudinal design using objective registry data drawn from the Norwegian Patient Registry was carried out. Among the patients with a registered diagnosis of GD between 2008 and 2018 (N = 5,131; males = 81.8%), those (who in addition) had a registered diagnosis of any SUD (n = 1,196; males = 82.1%) were included. The measures included a registered diagnosis using the ICD-10 of both GD (code F63.0) and SUDs (codes F10-F19) by a health care professional. Binomial tests were used to identify the temporal order between SUD(s) and GD. Co-occurring cases (i.e., cases diagnosed within the same month) were removed in the main analyses.

Results

Results showed a significant directional path from SUD to GD but no support for the reversed path (i.e., from GD to SUD). This finding was similar overall for (i) both males and females, (ii) when different SUDs (alcohol, cannabis, sedatives, and polysubstance) were examined individually, and (iii) when specifying a 12-month time-lag between diagnoses.

Conclusions

The findings suggest that experiencing SUD(s) is a risk marker for GD given the temporal precedence observed for patients in specialised healthcare services seeking treatment. These results should be considered alongside screening and prevention efforts for GD.