İntroduction: Alcohol and substance use disorders are conditions that can significantly affect all areas of an individual's life. Research in this field shows that addiction negatively impacts social adjustment and functioning. This study aims to examine the effects of addiction on social adjustment and functioning in patients followed in an addiction rehabilitation program.
Method: 103 patients who received treatment and follow-up at XXXXXXXXXXXX Addiction Rehabilitation Center and were diagnosed with Alcohol or Substance Use Disorder according to DSM-5 criteria, were included in the study. This study was designed as a pre-post test (6 months) comparison longitudinal research (Sociodemographic Data Form, Functional Assessment Short Test, Social Adaptation Self-Evaluation Scale).
Results: Comparisons between pre-post scale scores revealed a significant increase (p<0.001) in SASS scores. Significant decreases were observed in scores for autonomy, occupational functioning, cognitive functioning, financial issues, interpersonal relationships, leisure activities, and total FAST (p<0.001) scores. Analysis of the relationships between change scores showed a strong negative correlation between changes in SASS scores and changes in FAST autonomy (ρ = -0.624, p < 0.001) and FAST total scores (ρ = -0.627, p < 0.001).
Conclusion: Findings indicate that as social adaptation improved, functional impairments decreased. Social adaptation and functionality should be considered essential parameters in both the treatment and monitoring of substance use disorders. The observed improvements in these areas among patients in follow-up suggest the effectiveness of rehabilitation programs and underscore their value in facilitating reintegration into society.

Objective: This study aims to examine the relationships between AttentionDeficit/Hyperactivity Disorder (ADHD) symptoms, impulsivity, difficulties in emotion
regulation, and addiction severity among patients diagnosed with substance use disorders
receiving inpatient treatment. Additionally, the study investigates the mediating roles of
impulsivity and difficulties in emotion regulation in the relationship between ADHD symptoms
and addiction severity.
Methods: This study was designed as a cross-sectional and correlational research. The sample
consisted of 100 voluntary participants aged between 18 and 60 years who were receiving
inpatient treatment at the AMATEM clinic of NP Brain Hospital and had been diagnosed with
alcohol or substance use disorder according to DSM-5 diagnostic criteria. Data were collected
using the Sociodemographic Information Form, Adult Attention-Deficit/Hyperactivity
Disorder Self-Report Scale (ASRS), UPPS Impulsive Behavior Scale, Difficulties in Emotion
Regulation Scale (DERS), and Addiction Profile Index (API). 2
Pearson correlation analysis was conducted to examine the relationships among variables.
Regression analyses were performed to determine the predictive effect of ADHD symptoms on
addiction severity. Bootstrap-based mediation analyses were used to test the mediating roles of
impulsivity and difficulties in emotion regulation, and a parallel multiple mediation model was
applied to evaluate the relative contribution of each mediator.
Findings: The correlation analysis revealed a significant positive relationship between ADHD
symptoms and addiction severity (r = 0.507, p <0.01). Regression analysis indicated that
ADHD symptoms significantly predicted addiction severity (β = 0.509, p <0.001). Bootstrap
mediation analyses demonstrated that difficulties in emotion regulation fully mediated the
relationship between ADHD symptoms and addiction severity (indirect effect = 0.192; 95% CI
[0.068–0.329]; mediation ratio = 72.68%). Among the impulsivity subdimensions, only
negative urgency showed a significant mediating effect in this relationship. In the parallel
multiple mediation model, when both impulsivity and difficulties in emotion regulation were
included simultaneously, difficulties in emotion regulation emerged as the dominant mediating
mechanism, whereas the indirect effect of impulsivity remained limited.
Conclusion: The findings indicate that ADHD symptoms are strongly associated with
addiction severity in individuals with substance use disorders and that difficulties in emotion
regulation play a central role in explaining this relationship. These results highlight the
importance of routine screening for ADHD symptoms in addiction treatment settings and
emphasize the need to integrate emotion regulation–focused interventions into treatment
programs. Addressing emotion regulation difficulties may enhance treatment outcomes by
reducing addiction severity and improving overall therapeutic effectiveness.

Objective: The aim of this study is to assess the relationship between high school students’ digital technology addiction and their sleep quality by determining these factors.
Method: This is a descriptive and correlational study. The study was conducted between April and May 2023 with 245 secondary school students studying in the Health Services department at a Vocational and Technical Anatolian High School in a province of the Marmara Region. Data were collected face-to-face using the Sociodemographic Data Form, the Digital Addiction Scale and the Cleveland Adolescent Sleepiness Questionnaire. Data analysis involved percentage and frequency distributions, the t-test for independent samples, ANOVA, the Pearson correlation test, and the Cronbach’s alpha reliability coefficient.
Findings: The mean total score on the Digital Addiction Scale for secondary school students was determined to be 3.02 ± 0.664. Significant differences were found among students in Year 9, those using digital devices for 8 hours or more daily, those using digital devices at night, those using digital devices for 3 hours or more at night, those going to sleep at 02:00 or later, and those waking up at night. The mean total score on the Cleveland Adolescent Sleepiness Questionnaire was determined to be 40.66 ± 10.016. Among female students, significant differences were found in those whose mothers were illiterate or had only completed primary school, those from middle-income families, those in Year 9, those with at least one failing grade, those using digital devices for 8 hours or more daily, those using digital devices at night, those using digital devices for 3 hours or more at night, those going to bed at 00:00, 01:00, 02:00 or later, and those sleeping for 9 hours or more or waking up at night, the difference was found to be statistically significant.
Conclusion: According to the study, it was observed that secondary school students have a moderate level of digital technology addiction and experience a sleepiness level close to moderate. Furthermore, as high school students’ digital technology addiction increases, so does their sleepiness. It is recommended that further research be conducted to examine various aspects of high school students’ digital technology addiction and that they be directed towards educational programmes designed to raise awareness regarding the mindful use of digital devices.

The aim of this study was to examine the relationship between perceived family health and social media addiction among university students and to determine whether social media addiction levels differed according to selected sociodemographic variables. The study was conducted using a quantitative correlational survey design. The sample consisted of 205 university students studying in Türkiye. Data were collected online using the Sociodemographic Information Form, the Social Media Addiction Scale, and the Family Health Scale-Short Form. Frequency, percentage, mean, standard deviation, Cronbach’s alpha reliability analysis, Pearson correlation analysis, simple linear regression analysis, independent samples t-test, and one-way analysis of variance were used in data analysis. Tukey HSD post-hoc test was applied in cases where significant differences were found. The findings indicated a low-level, negative, and statistically significant relationship between perceived family health and social media addiction. In addition, perceived family health negatively and significantly predicted social media addiction. Social media addiction scores differed significantly according to gender and daily social media use duration; female students had higher social media addiction scores than male students. No significant difference was found according to age and number of siblings. The findings suggest that social media addiction among university students should be evaluated not only in terms of individual usage habits but also in relation to perceived family health and family-related variables.