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Our aim in this study was to translate the Hamilton Anxiety Rating Scale (HAM-A), State Trait Anxiety Inventory (STAI-A and B) scales to Arabic, linguistically validate them for use in a representative sample of the Lebanese population, and to check the reliability of these Arabic versions. Methods: This study is cross-sectional, conducted between November 2017 and March 2018, which enrolled 1332 community dwelling participants using a proportionate random sample from all Lebanese Mohafazat. Results: Three factor analyses for the anxiety scales were run over the whole sample (N = 1332). All of the HAM-A, STAI-A and STAI-B items could be extracted from the list. All items from all the scales did not over-correlate to each other (r > 0.9), did not have a low loading on factors (< 0.3) or a low communality (< 0.3). The factor analysis results showed 2 factors for HAM-A (Cronbach alpha = 0.921), 3 factors for STAI-A (Cronbach alpha = 0.928) and STAI-B (Cronbach alpha = 0.898). A significantly high ICC was found between the HAM-A, STAI-A (ICC = 0.709) and STAI-B (0.704). In addition, a significantly high ICC was found between the STAI-A and B scales (ICC = 0.884). Conclusion: The linguistically validated Arabic versions of these scales can be used to screen for anxiety among the Lebanese populations.

The study objective was to evaluate the association between depression, anxiety, social anxiety and fear, impulsivity, and aggression and Internet addiction (IA) among Lebanese adolescents. This cross-sectional study, conducted between October 2017 and April 2018, enrolled 1103 young adolescents aged between 13 and 17 years. The Internet Addiction Test (IAT) was used to screen for IA. The results also showed that 56.4% of the participants were average Internet users (IAT score ≤49), 40.0% had occasional/frequent problems (IAT scores between 50 and 79), and 3.6% had significant problems (IAT scores ≥80) because of Internet use. The results of a stepwise regression showed that higher levels of aggression (β = 0.185), depression (Multiscore Depression Inventory for Children) (β = 0.219), impulsivity (β = 0.344), and social fear (β = 0.084) were associated with higher IA, whereas an increased number of siblings (β = −0.779) and a higher socioeconomic status (β = −1.707) were associated with lower IA. Uncontrolled use of the Internet can be associated with addiction and other psychological comorbidities.

Purpose: To assess the association between the interaction of anxiety and depression on the suicidal ideation, quality of life (QOL), and work productivity/impairment in Lebanon.Design: Cross-sectional.Results: The interaction of anxiety and depression (β = .101), higher depression alone (β = .021), higher anxiety traits (STAI-B) (β = .007) were associated with higher suicidal ideation.Higher depression (β = 1.177), having more anxiety traits (STAI-B) (β = .485) and higher anxiety (STAI-A) (β = .298) were associated with higher activity impairment.Higher depression, higher anxiety traits and state, were associated with lower mental and physical QOL.Practice Implications: Screening for anxiety and depression can help clinicians improve patients' QOL and work productivity and decrease the suicidal ideation risk.

Importance Several studies conducted worldwide (mostly in Western countries) highlighted the negative effects of problematic internet use, particularly among adolescents aged 12 to 17, including depression, impulsivity, aggression, and social fear and avoidance. In Lebanon, literature on the prevalence and impact of problematic internet use among adolescents is limited. Objective This study aim was to study the association between problematic internet use and depression, impulsivity, anger, aggression and social phobia among Lebanese adolescents. Methods A cross‐sectional study was performed on 1103 young adolescents (14–17 years), recruited from October 2017 till April 2018. The Internet Addiction Test (IAT) was used to evaluate the level of problematic internet use. Data were analyzed using the MANCOVA analysis. The main independent variable of interest was the IAT, while the dependent variables included the psychological scales. Results The multivariate analysis taking the psychological scales as the dependent variables and the problematic internet use (IAT score) as an independent variable, showed that problematic internet use was associated with higher depression, impulsivity, aggression, anger, hostility and social anxiety. Interpretation Problematic internet use has become an important health issue that should not be overlooked, particularly because of the increased use of the internet by adolescents. Educational programs on early exposure to the internet should be developed.