Effects of psychiatric symptoms, age, and gender on fear of missing out (FoMO) and problematic smartphone use: A path analysis with clinical-based adolescent sample.

Background: Fear of missing out (FoMO) is a kind of anxiety that arises from FoMO on rewarding online social experiences that others might be having. Recent studies demonstrated that there is a strong relationship between FoMO and problematic smartphone use (PSU). In this study, we aimed to address the relationship between age, gender, psychiatric symptoms, PSU, and FoMO among a clinical-based adolescent sample. Methods: In total, 197 adolescents (136 boys, 12-18 years) who applied to psychiatry clinics were recruited in the study. Path analysis with observed variables was used to investigate the relationships of PSU and FoMO with each other and with psychiatric symptoms (somatization, obsession-compulsion, interpersonal sensitivity, depression, anxiety, phobic anxiety, paranoid ideation, and psychoticism), age, and gender. Results: Path analysis showed that age (B1 = 2.35, P < 0.001), somatization (B1 = 1.19, P < 0.001), hostility (B1 = 0.92, P = 0.001), and paranoid ideation (B1 = 0.93, P = 0.005) have significant positive effect on PSU, when interpersonal sensitivity has a significant negative effect (B1 = -1.47, P < 0.001). For FoMO, male gender (B0 = 0.35, P < 0.001), anxiety (B1 = 1.37, P < 0.001), and PSU have positive effects, whereas age (B1 = -1.60, P < 0.001), depression (B1 = -0.58, P = 0.004), and hostility (B1 = -0.49, P = 0.001) have a negative effect. Conclusions: Our study demonstrated that although PSU and FoMO are closely related to each other in previous studies, they have different associations with age, gender, and psychiatric symptoms among a clinical-based adolescent sample. The positive effects of PSU, anxiety on FoMO are predictable; however, the negative effect of age, hostility, and depression on FoMO was interesting. These relationships could be related to social exclusion-hostility and impulsivity-male gender/younger age associations in adolescence. In addition, we did not find a significant effect of FoMO on PSU, this could be related to the social and non-social use of smartphones, and should be reevaluated in clinical samples in the future.

An Open-Label Trial of Methylphenidate Treating Sluggish Cognitive Tempo, Inattention, and Hyperactivity/Impulsivity Symptoms Among 6- to 12-Year-Old ADHD Children: What Are the Predictors of Treatment Response at Home and School?

Objective: This study investigated the effects of sluggish cognitive tempo (SCT), other psychiatric symptoms, age, dose, and pretreatment ADHD severity on methylphenidate (MPH) treatment response among ADHD children in both home and school. In addition, the predictors of the MPH-SCT treatment response were examined. Methods: One hundred eighty-five (6-12 years old) ADHD children who were treated with MPH included in the study. Results: MPH improved SCT total and SCT-Daydreaming scores both at home and school while improved SCT-Sluggish scores in only school. Higher pretreatment Daydreaming score predicted lower treatment response for inattention (B = .301, p = .002), and higher Daydreaming-Sluggish scores predicted lower treatment response for total ADHD symptoms at school (B = .456, p = .006; B = .888, p = .04, respectively). Also higher oppositional defiant disorder symptoms have negative effects on MPH treatment response in ADHD. Older age positively affected the MPH-SCT treatment response in paternal and teacher ratings. Conclusion: SCT symptoms have negative effects on MPH treatment response at school.

The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics.

Problematic mobile phone use is an important problem which has increasing prevalence among adolescents. We should address risk factors to create intervention frameworks related to this problem. In this study, we aimed to determine the prevalence of problematic smartphone use among adolescents who were referred to clinics, its relationship to sociodemographic characteristics, psychiatric symptoms and emotion regulation problems. We included 150 adolescents aged 12-18 years who own smartphones. All participants filled out the Sociodemographic Information Form, Brief Symptom Inventory (BSI), Difficulties in Emotion Regulation Scale (DERS) and Problematic Mobile Phone Use Scale (PMPUS). Problematic smart phone use was detected in 50.6% of the sample. Adolescents with problematic use were found to be older than the others, with lower levels of maternal education and self-achievement. Regression analysis revealed that the factors predicting the risk of problematic smartphone use are somatization, interpersonal sensitivity and hostility symptoms. According to our results, we suggest psychiatrists consider the high prevalence of problematic smartphone use, address the relationship between hostility, somatic symptoms and interpersonal sensitivity (susceptibility) and the effects of this current problem on social-academic functioning while evaluating and treating adolescents.