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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.

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.

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.