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Factors associated with alexithymia among the Lebanese population: results of a cross-sectional study

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Abstract Background To our knowledge, no research project on alexithymia has been conducted in Lebanon. The objective of this study was to assess risk factors associated with alexithymia in a representative sample of the Lebanese population. Methods This is a cross-sectional study, conducted between November 2017 and March 2018, which enrolled 789 participants from al districts of Lebanon. The Toronto Alexithymia Scale (TAS-20) was used to measure alexithymia, the Alcohol Use Disorders Identification Test to assess alcohol use, drinking patterns, and alcohol-related issues, the Rosenberg self-esteem scale to evaluate self-worth, the Hamilton depression rating scale and Hamilton Anxiety Scale to screen for depression and anxiety respectively, the Three-Dimensional Work Fatigue Inventory to measure physical, mental and emotional work fatigue respectively, the Columbia–Suicide Severity Rating Scale to evaluate suicidal ideation and behavior, the Perceived Stress Scale to measure stress, the Liebowitz Social Anxiety Scale to help identify a social anxiety disorder and the Quick Emotional Intelligence Self-Assessment to measure emotional intelligence. Results The results showed that 395 (50.4%) were not alexithymic, 226 (28.8%) were possible alexithymic, whereas 163 (20.8%) were alexithymic according to established clinical cutoffs. Stress (Beta = 0.456), emotional exhaustion (Beta = 0.249), the AUDIT score (Beta = 0.225) and anxiety (Beta = 0.096) were associated with higher alexithymia, whereas low emotional work fatigue (Beta = −0.114) and being married (Beta = −1.933) were associated with lower alexithymia. People in distress (Beta = 7.33) was associated with higher alexithymia scores, whereas people with high wellbeing (Beta = −2.18), an intermediate (Beta = −2.90) and a high (Beta = −2.71) family monthly income were associated with lower alexithymia compared to a low one. Conclusion Alexithymia appears to be influenced by many factors, including stress, anxiety, and burnout. To reduce its prevalence, it is important that health professionals educate the public about these factors. Further studies on a larger scale are needed to confirm our findings.
Title: Factors associated with alexithymia among the Lebanese population: results of a cross-sectional study
Description:
Abstract Background To our knowledge, no research project on alexithymia has been conducted in Lebanon.
The objective of this study was to assess risk factors associated with alexithymia in a representative sample of the Lebanese population.
Methods This is a cross-sectional study, conducted between November 2017 and March 2018, which enrolled 789 participants from al districts of Lebanon.
The Toronto Alexithymia Scale (TAS-20) was used to measure alexithymia, the Alcohol Use Disorders Identification Test to assess alcohol use, drinking patterns, and alcohol-related issues, the Rosenberg self-esteem scale to evaluate self-worth, the Hamilton depression rating scale and Hamilton Anxiety Scale to screen for depression and anxiety respectively, the Three-Dimensional Work Fatigue Inventory to measure physical, mental and emotional work fatigue respectively, the Columbia–Suicide Severity Rating Scale to evaluate suicidal ideation and behavior, the Perceived Stress Scale to measure stress, the Liebowitz Social Anxiety Scale to help identify a social anxiety disorder and the Quick Emotional Intelligence Self-Assessment to measure emotional intelligence.
Results The results showed that 395 (50.
4%) were not alexithymic, 226 (28.
8%) were possible alexithymic, whereas 163 (20.
8%) were alexithymic according to established clinical cutoffs.
Stress (Beta = 0.
456), emotional exhaustion (Beta = 0.
249), the AUDIT score (Beta = 0.
225) and anxiety (Beta = 0.
096) were associated with higher alexithymia, whereas low emotional work fatigue (Beta = −0.
114) and being married (Beta = −1.
933) were associated with lower alexithymia.
People in distress (Beta = 7.
33) was associated with higher alexithymia scores, whereas people with high wellbeing (Beta = −2.
18), an intermediate (Beta = −2.
90) and a high (Beta = −2.
71) family monthly income were associated with lower alexithymia compared to a low one.
Conclusion Alexithymia appears to be influenced by many factors, including stress, anxiety, and burnout.
To reduce its prevalence, it is important that health professionals educate the public about these factors.
Further studies on a larger scale are needed to confirm our findings.

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