Addictive Behaviors Reports最新文献

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.

Introduction

Risk factors and treatment rates for substance use disorders (SUDs) differ by sex. Females often have greater childcare and household responsibilities than males, which may inhibit SUD treatment. We examined how SUD, medication for opioid use disorder (MOUD) receipt, and overdose rates differ by sex among parents with young children (<5 years).

Methods

Using deidentified national administrative healthcare data from Optum’s Clinformatics® Data Mart Database version 8.1 (2007–2021), we identified parents aged 26–64 continuously enrolled in commercial insurance for ≥ 30 days and linked to ≥ 1 dependent child < 5 years from January 1, 2016-February 29, 2020. We used generalized estimating equations to estimate the average predicted prevalence of SUD diagnosis, MOUD receipt after opioid use disorder (OUD) diagnosis, and overdose by parent sex in any month, adjusting for age, race/ethnicity, state of residence, enrollment month, and mental health conditions.

Results

From 2016 to 2020, there were 2,241,795 parents with a dependent child < 5 years, including 1,155,252 (51.5%) females and 1,086,543 (48.5%) males. Male parents had a higher average predicted prevalence of an SUD diagnosis (11.1% [11, 11.16]) than female parents (5.5% [5.48, 5.58]). Among parents with OUD, the average predicted prevalence of receiving MOUD was 27.4% [26.1, 28.63] among male and 19.7% [18.34, 21.04] among female parents, with no difference in overdose rates by sex.

Conclusion

Female parents are less likely to be diagnosed with an SUD or receive MOUD than male parents. Removing policies that criminalize parental SUD and addressing childcare-related barriers may improve SUD identification and treatment.

Introduction

Young adulthood is considered a critical period in terms of non-medical use of sedatives/hypnotics (NMUSH) as well as different types of behavioral addictions (BAs). However, the relationship between these behaviors has received scarce attention among young adult samples. Therefore, the aim of the present study was to investigate the association between NMUSH and symptoms of distinct BAs among young adults.

Materials and methods

Analyses were conducted based on the data of two large sample studies (including a representative sample) carried out with young adult samples. The following BAs were assessed: problematic internet use, problematic video gaming, problematic social media use, problem gambling, exercise addiction, eating disorders, compulsive buying behavior, problematic mobile phone use, work addiction, and hair pulling. Symptoms of distinct BAs were analyzed in three groups formed based on the NMUSH: non-users, lifetime users, and current users.

Results

The symptoms of problematic internet use, problematic social media use, problem gambling, exercise addiction, eating disorders, compulsive buying behavior and work addiction were significantly more severe among lifetime and/or current non-medical sedative and hypnotic users, compared to the non-user participants. The symptoms of problematic mobile phone use were the most severe in the non-user group.

Conclusions

The results suggest co-occurrence between NMUSH and distinct BAs among young adults. These findings draw attention to the need for preventive interventions for this high-risk population.

Aim

To investigate the association of adverse childhood experiences (ACEs) and substance use disorders (alcohol and illicit drug use disorders), specifically by gender, in a large longitudinal non-clinical population study.

Methods

Data from 8199 adolescents, first assessed for ACE (2006–2008), were linked with subsequent data from the Norwegian Patient Register to obtain diagnoses of a substance use disorder in adulthood (after 12–14 years’ follow-up in March 2020). This study used logistic regression analysis to assess the associations between ACEs and substance use disorders with respect to gender.

Results

Adults with any history of ACEs have a 4.3-fold higher likelihood of developing a substance use disorder. Female adults had a 5.9-fold higher likelihood of developing an alcohol use disorder. Emotional neglect, sexual abuse and physical abuse were the strongest individual ACE predictors for this association. Male adults had a 5.0-fold higher likelihood of developing an illicit drug use disorder (for example stimulants such as cocaine, inhibiter such as opioids, cannabinoids and multiple drugs). Physical abuse, parental divorce and witnessed violence were the strongest individual ACE predictors for this association.

Conclusions

This study reinforces the association between ACEs and substance use disorders and exposes a gender-specific pattern. Increased attention should be paid to the meaning of individual ACEs as well as to the accumulation of ACEs in the development of a substance use disorder.

Background

Social media use has become an everyday behavior in contemporary life resulting in increased participation. A minority of individuals, especially younger adults, may engage excessively with the medium, resulting in the emergence of problematic social media use (PSMU). One way of assessing PSMU is by administering the Bergen Social Media Addiction Scale (BSMAS). The present study investigated the psychometric properties and prevalence of the BSMAS using Item Response Theory (IRT). Additionally, it evaluated risk factors such as gender and age.

Methods

A relatively large community sample (N = 968, M_age = 29.5 years, SD = 9.36, 32.5% women) completed the BSMAS online.

Results

IRT analyses showed differences regarding the BSMAS items’ discrimination, difficulty, and reliability capacities, with a raw score exceeding 26 (out of 30) indicating a higher risk of PSMU (n = 11; 1.1%). Females and younger participants were at greater risk of developing PSMU.

Conclusion

The BSMAS functions as a reliable measure of PSMU, particularly between average to high levels of the trait. Additionally, younger participants were shown to be at higher risk of PSMU suggesting that prevention and intervention protocols should focus on this group.