Internet addiction and health-related quality of life in adolescents: The mediating role of sleep disturbance.

BACKGROUND: Internet addiction (IA) has emerged as a recognized risk factor associated with impaired health-related quality of life (HRQOL) in adolescents. However, the role of sleep disturbance in this association remains unclear. This study aimed to investigate the association of IA with HRQOL in Chinese adolescents and to evaluate the potential mediating role of sleep disturbance. METHODS: A cross-sectional study was conducted among adolescents attending six randomly selected middle schools in Guangzhou, China. Adolescents self-reported their internet use using the Young Diagnostic Questionnaire. HRQOL and sleep disturbance were assessed by the Pediatric Quality of Life Inventory version 4.0 and the Pittsburgh Sleep Quality Index, respectively. Multivariate linear regression analysis was employed to assess the association between IA and HRQOL. Baron and Kenny's causal steps method was used to examine the possible mediating role of sleep disturbance. RESULTS: Of the 6473 adolescents included, 23.5% had maladaptive internet use (MIU) and 16.6% had pathological internet use (PIU). Compared to adolescents with adaptive internet use (AIU), those with IA had significantly lower scores across all HRQOL dimensions and summary scales. Mediation analysis revealed that sleep disturbance was a significant mediator. Specifically, sleep disturbance mediated 34.55% of the effects of MIU and 34.06% of the effects of PIU on the HRQOL total scale score , respectively. CONCLUSIONS: IA was associated with poorer HRQOL, indicating the needs of preventing IA in Chinese adolescents. Additionally, our findings underscored the importance of enhancing sleep quality to mitigate the adverse impact of IA on adolescents' well-being.

Circadian typologies and insomnia in individuals with internet gaming disorder comorbid with attention deficit/hyperactivity disorder.

The alteration in circadian typology and insomnia were prevalent among both Individuals with IGD and those with attention deficit hyperactivity disorder (ADHD), the most comorbid psychiatric disorder of IGD. This study aimed to evaluate the relationships between circadian typologies, insomnia, and internet gaming disorder (IGD) and how ADHD affects this relationship. We recruited three groups of 69 young adults: an IGD group, a control group comprising age- and sex-matched nongamers, and a group of gamers without IGD through diagnostic interviews. The participants with IGD exhibited lower composite scale of morningness (CSM) scores and thus a higher eveningness preference In addition, the score of Pittsburgh insomnia rating scale-20-item version (PIRS_20) was significantly higher among those with IGD. The participants with IGD and ADHD exhibited lower CSM scores but higher PRIS_20 scores than the participants with IGD but without ADHD. The present findings indicate that participants with IGD exhibited a tendency of eveningness preference and experienced more severe insomnia. ADHD exacerbated the eveningness preference and insomnia of individuals with IGD. Close attention should be paid to sleep problems in individuals with IGD, particularly to those with ADHD.

Correlates of Food Addiction and Eating Behaviours in Patients with Morbid Obesity.

INTRODUCTION: Food addiction (FA) is a promising construct regarding the multifactorial aetiology of obesity and the search for therapeutic approaches. However, there is an ongoing debate regarding the overlap/differentiation with eating disorders and the classification as a substance- or behaviour-related addiction. Energy-dense foods, especially those combining carbohydrates and fat, are associated with addictive eating and suspected of playing a role in the genesis of FA. This study aims to further understand the clinical significance of FA and to identify possible therapeutic targets. A special focus is set on potentially addictive foods (combination of carbohydrates and fat). METHODS: Based on the Yale Food Addiction Scale 2.0, a cohort of 112 German adults with morbid obesity was divided into two sub-samples (patients with and without FA), which were examined for differences in the variables listed below. RESULTS: The prevalence of FA was 25%. Patients meeting criteria for FA showed higher degrees of hunger, emotional, binge, and night eating than patients without FA. In addition, hunger and disinhibition were found to be significant predictors of FA. FA was not associated with sex, age, body mass index (BMI), cognitive restraint, rigid and flexible control, prevalence of substance use, age of onset of obesity, stress level, level of social support, reduction of BMI during a weight loss programme, or programme withdrawal rate. There was no significant difference in the consumption of foods rich in both carbohydrates and fat, nor of fat or carbohydrates alone. CONCLUSION: FA can be considered as a sub-phenotype of obesity, occurring in approximately 25% of obesity cases. Dysfunctional emotional coping mechanisms associated with low distress tolerance showed to be significantly related to FA and should be targeted therapeutically. Behavioural interventions should include a bio-psycho-social model. Binge eating episodes were found to be characteristic for FA and the already stated overlap between FA and binge eating behaviour can be confirmed. The results do not support a decisive difference due to a substance-related component of FA. Despite this, the existence of FA as a distinct entity cannot be excluded, as not all patients with FA exhibit binges.

Internet addiction and its relationship with attention deficit hyperactivity disorder (ADHD) symptoms, anxiety and stress among university students in Malaysia.

BACKGROUND AND AIMS: There is growing evidence on the contribution of psychological factors to internet addiction; yet it remains inconsistent and deserves further exploration. The aim of this study was to determine the relationship between the psychological symptoms (Attention Deficit Hyperactivity Disorder (ADHD) symptoms, stress, depression, anxiety and loneliness) and internet addiction (IA) among the university students in Malaysia. MATERIALS AND METHODS: A total of 480 students from different faculties in a Malaysian public university participated in this study. They were selected by simple random sampling method. They completed self-administered questionnaires including the Malay Version of Internet Addiction Test (MVIAT)) to measure internet addiction and Adult Self-Report Scale (ASRS) Symptom Checklist, Depression Anxiety Stress Scales (DASS) and UCLA Loneliness Scale (Version 3) to assess for ADHD symptoms, depression, anxiety, stress, and loneliness respectively. RESULTS: The prevalence of IA among university students was 33.33% (n = 160). The respondents' mean age was 21.01 ± 1.29 years old and they were predominantly females (73.1%) and Malays (59.4%). Binary logistic regression showed that gender (p = 0.002; OR = 0.463, CI = 0.284-0.754), ADHD inattention (p = 0.003; OR = 2.063, CI = 1.273-3.345), ADHD hyperactivity (p<0.0001; OR = 2.427, CI = 1.495-3.939), stress (p = 0.048; OR = 1.795, CI = 1.004-3.210) and loneliness (p = 0.022; OR = 1.741, CI = 1.084-2.794) were significantly associated with IA. CONCLUSION: A third of university students had IA. In addition, we found that those who were at risk of IA were males, with ADHD symptoms of inattention and hyperactivity, who reported stress and loneliness. Preventive strategy to curb internet addiction and its negative sequelae may consider these factors in its development and implementation.

Neurocognitive predictors of addiction-related outcomes: A systematic review of longitudinal studies.

It is well-established that addiction is typically associated with a distinct pattern of neurocognitive functioning with a consensus that it is typified by impaired top-down executive control and aberrant risk-reward processing. Despite a consensus that neurocognition plays an important role in characterizing and maintaining addictive disorders, there is a lack of systematic, bottom-up synthesis of quantitative evidence showing that neurocognition predicts addictive behaviors, and which neurocognitive constructs have the best predictive validity. This systematic review aimed to assess whether cognitive control and risk-reward processes as defined by the Research Domain Criteria (RDoC) predict the development and maintenance of addictive behaviors specifically, consumption, severity, and relapse. The findings from this review expose the substantial lack of evidence for neurocognition predicting addiction outcomes. However, there is evidence that suggests reward-related neurocognitive processes may be important for the detection of early risk for addiction, as well as a potentially viable target for designing novel, more effective interventions.

Investigation of Adolescents Who Have Internet Addiction Accompanied By Attention Deficit and Hyperactivity Disorder in Terms of Emotion Regulation and Social Cognition. / Internet Bagimliligi ve Eslik Eden Dikkat Eksikligi Hiperaktivite Bozuklugu Olan Ergenlerin Duygu Düzenleme ve Sosyal Bilis Açisindan Incelenmesi.

OBJECTIVE: The aim of this study is to evaluate social cognition and emotion regulation skills in individuals with Internet Addiction (IA) and Internet addiction with comorbid Attention Deficit/Hyperactivity Disorder (IA + ADHD). METHOD: The sample of the study consist of 30 IA, 30 IA + ADHD patients, 30 healthy controls between the ages of 12-17 who applied to the Child and Adolescent Psychiatry Department, Technology Outpatient Clinic. K-SADS-PL, WISC-R, sociodemographic data form, Internet Addiction Scale (IAS), Addiction Profile Index Internet Addiction Form (APIINT), Beck Depression Inventory, Global Assessment of Functioning Scale, and Difficulties in Emotion Regulation Scale were applied to all participants. Social cognition was evaluated using Faces Test, Reading the Mind in the Eyes Test, The Unexpected Outcomes Test, Faux Paus, Hinting Test and Comprehension Test. RESULTS: In social cognition tests, IA and IA + ADHD groups failed significantly compared to the control group. Emotion regulation difficulties were significantly higher in IA and IA + ADHD groups compared to the control group (p<0.001). Use of the internet for doing homeworks (p<0.001) was found to be higher in the control group than in the IA and IA + ADHD groups Conclusion: It has been found that individuals diagnosed with internet addiction have difficulties in both social cognition and emotion regulation, which is more severe in the presence of comorbid ADHD.

Food addiction is strongly associated with type 2 diabetes.

BACKGROUND & AIMS: Individuals can develop an addiction-like attraction towards highly processed foods, which has led to the conceptualization of food addiction, a phenotype linked to obesity. In this study, we investigated whether food addiction is associated with type 2 diabetes (T2D). METHODS: 1699 adults from the general population and 1394 adults from a population with clinically verified mental disorder completed a cross-sectional survey including the Yale Food Addiction Scale 2.0. Logistic regression was employed to examine the association between food addiction and T2D, the latter operationalized via Danish registers. RESULTS: Food addiction was strongly associated with T2D in the general population (adjusted odds ratio (AOR) = 6.7) and among individuals with mental disorder (AOR = 2.4) in a dose-response-like manner. CONCLUSION: This is the first study to demonstrate a positive association between food addiction and T2D in a general population sample. Food addiction may be a promising target for prevention of T2D.

Network analysis of internet addiction and sleep disturbance symptoms.

BACKGROUND: Internet addiction (IA) is a behavioral addiction to problematic internet use. IA is associated with poorer sleep quality. Few studies to date, however, have explored the interactions between symptoms of IA and symptoms of sleep disturbance. This study uses network analysis to identify bridge symptoms by analyzing these interactions in a large sample of students. METHOD: We recruited 1977 university students to participate in our study. Each student completed the Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI). We used these collected data for network analysis to identify the bridge symptoms in the IAT-PSQI network by calculating the bridge centrality. Furthermore, the closest symptom connected with the bridge symptom was found to identify the comorbidity mechanisms. RESULTS: The core symptom of IA and the sleep disturbance network was "I08" (Study efficiency suffers due to internet use). The bridge symptoms between IA and sleep disturbance were "I14" (Surfing the internet late instead of sleeping), "P_DD" (Daytime dysfunction), and "I02" (Spending much time online instead of socializing in real life). Among the symptoms, "I14" had the highest bridge centrality. The edge connecting nodes "I14" and "P_SDu" (Sleep duration) had the strongest weight (0.102) around all the symptoms of sleep disturbance. Nodes "I14" and "I15" (Thinking about online shopping, games, social networking, and other network activities when unable to access the internet) had the strongest weight (0.181), connecting all the symptoms of IA. CONCLUSIONS: IA leads to poorer sleep quality, most likely by shortening sleep duration. Preoccupation with and craving the internet while being offline may lead to this situation. Healthy sleep habits should be learned, and craving may be a good point at which to treat the symptoms of IA and sleep disturbance.

Adult ADHD Diagnosis, Symptoms of Impulsivity, and Emotional Dysregulation in a Clinical Sample of Outpatients Consulting for a Behavioral Addiction.

OBJECTIVE: This study aimed to investigate ADHD in adult outpatients seeking treatment for a behavioral addiction and to identify the specificity of psychopathological features if the behavioral addiction cooccurs with adult ADHD. METHOD: Sixty-five outpatients consulting for a behavioral addiction were assessed for ADHD (DIVA-5), addictive disorder (alcohol, tobacco, cannabis, gambling, gaming, food, and sex), impulsivity (UPPS-P), and emotion dysregulation (DERS-36). RESULTS: In our sample of outpatients seeking treatment for a behavioral addiction, adult ADHD was independently associated with higher compulsive sexual behavior disorder severity, "sensation seeking," "positive urgency," difficulties in "goal-directed behavior," "impulse control," and use of "emotion regulation strategies" in the context of intense emotions. A 29% of the sample was diagnosed for adult ADHD. CONCLUSION: The association of adult ADHD with specific dimensions of impulsivity and emotion dysregulation, pave the way for future clinical and research perspectives.

The trajectories and associations of insomnia symptoms with addictive behaviours in adolescents: A two-year longitudinal study.

Insomnia displays heterogeneous trajectories across adolescence, which may induce addictive behaviours, including internet gaming disorder and substance use. This study aimed to investigate the latent trajectory classes of insomnia symptoms over 2 years and to examine the associations between insomnia trajectories and these addictive behaviours. Participants were 910 adolescents from six middle schools in Shanghai, China (52.7% males; mean age = 13.17 years). The three-wave survey measured insomnia symptoms, internet gaming disorder, substance use, depressive symptoms, and sociodemographic characteristics from 7th to 9th grade. Latent class growth modelling was performed to identify the latent trajectory classes of insomnia symptoms. Then multivariable logistic regressions were conducted within the best-fitting latent class growth model to examine the associations of insomnia trajectories with internet gaming disorder and substance use. Two latent trajectory classes of insomnia symptoms were recognised: the non-insomnia group (71.8%) and the insomnia group (28.2%). In the multivariable analysis controlling for baseline demographic variables and depressive symptoms, the insomnia group had a higher risk of developing internet gaming disorder (OR = 2.203 [95% CI: 1.258-3.858]) and substance use (OR = 2.215 [95% CI: 1.324-3.705]) compared with the non-insomnia group. These findings add to a growing body of research on heterogeneous trajectories of insomnia symptoms during adolescence, suggesting that intervention strategies are needed to target the characteristics or developmental patterns of different insomnia subgroups. The ultimate goal is to mitigate the impact of insomnia symptoms on adolescent addictive behaviours.