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Table 5 Multivariable analysis

From: Factors associated with alcohol use disorder: the role of depression, anxiety, stress, alexithymia and work fatigue- a population study in Lebanon

Model 1: Logistic regression taking the dichotomous alcohol use disorder scale score (low vs. high risk) as the dependent variable and the sociodemographic characteristics as independent variables.
 ORp-valueConfidence interval
Lower BoundLower Bound
Gender (females vs malesa)0.431< 0.0010.3080.605
Divorced vs singlea6.7230.0181.37932.784
Number of kids0.656< 0.0010.5260.819
Secondary education level vs illiteratea0.2720.0830.0621.185
University education level vs illiteratea0.2040.0300.0480.860
Variables entered: Gender, Marital status, number of kids, education level
Model 2: Logistic regression taking the dichotomous alcohol use disorder scale score (low vs. high risk) as the dependent variable.
Gender (females vs malesa)0.460< 0.0010.3050.694
Alexithymia Scale (TAS-20)1.0300.0041.0091.051
Depression score (HAM-D)1.076< 0.0011.0501.103
Emotional management0.9620.0050.9370.988
Suicidal ideation score1.2530.0271.0261.531
Number of kids0.8630.0370.7520.991
Variables entered: Gender, Marital status, number of kids, education level, TAS_20, HAMD score, HAMA score, PSC score, Liebowitz score, Emotional awareness score, Emotional management score, Social emotional awareness score, Relationship management score, MBI - Emotional exhaustion, MBI - Personal accomplishment, MBI - Depersonalization, Suicidal ideation score.
Model 3: Linear regression taking the continuous AUDIT score as the dependent variable and all the scales as independent variables.
 Unstandardized BetaStandardized Betap-valueConfidence interval
Lower BoundUpper Bound
Depression score (HAM-D)0.2820.354< 0.0010.2200.344
Alexithymia Scale (TAS-20)0.1460.189< 0.0010.0930.200
Suicidal ideation score0.8550.134< 0.0010.3851.325
Emotional management−0.079−0.0780.030−0.150−0.008
Gender (females vs malesa)−2.647−0.160< 0.001−3.771−1.523
Secondary education vs illiteratea−2.476−0.1030.012−4.415−0.538
University education vs illiteratea− 2.579−0.148< 0.001−4.024− 1.134
Intermediate vs lowa SES1.1670.0670.0500.0012.333
Variables entered: Age, Gender, SES, education level, TAS_20, HAMD score, HAMA score, PSC score, Liebowitz score, Emotional awareness score, Emotional management score, Social emotional awareness score, Relationship management score, MBI - Emotional exhaustion, MBI - Personal accomplishment, MBI - Depersonalization, Suicidal ideation score.
aSES = socioeconomic status (Reference = low socioeconomic status).
Model 4: Linear regression taking the continuous AUDIT score as the dependent variable and four factors obtained in the factor analysis as independent variables.
Mental Wellbeing (Factor 1)−0.817−0.0990.008−1.417−0.217
Psychological distress (Factor 2)1.1070.136< 0.0010.4961.719
Mood/affective dysfunction (Factor 3)3.3300.398< 0.0012.6723.989
Gender (females vs malesa)−2.613−0.158< 0.001−3.764−1.462
Secondary education vs illiteratea−2.505−0.1050.014−4.507−0.503
University education vs illiteratea−2.678−0.153< 0.001−4.165−1.190
Factor 1 = mental wellbeing (i.e. high emotional intelligence and low emotional work fatigue; Factor 2 = psychological distress (i.e. high physical and mental work fatigue, high stress and high alexithymia; Factor 3 = mood/affective dysfunction (i.e. high suicidal ideation, high depression and high anxiety; Factor 4 = social dysfunction (i.e. low self-esteem and high social phobia).
Variables entered in the model: Factor 1, Factor 2, Factor 3, factor 4, Age, Gender, SES, education level.
Model 5: Linear regression taking the continuous AUDIT score as the dependent variable and the three clusters as independent variables.
People with psychological difficulties (Cluster 1)5.5470.325< 0.0014.4306.663
People in distress (Cluster 3)7.4550.323< 0.0015.9458.965
Gender (Malea vs. Female)−3.011−0.184< 0.001−4.036−1.985
Secondary education vs illiteratea−2.461−0.1040.008− 4.265−.657
University education vs illiteratea−3.045−0.175< 0.001−4.392−1.698
Divorced vs. singlea5.0470.118< 0.0012.3977.698
Widowed vs. singlea4.9620.0910.0041.5458.379
Variables entered in the model: cluster 1, cluster 2, cluster 3, Age, Gender, SES, education level
Cluster 1 = People with psychological difficulties (low self-esteem, high social phobia, high alexithymia, high physical and mental work fatigue and high stress, low emotional intelligence and high emotional work fatigue); cluster 2 = People with high wellbeing (high emotional intelligence and low emotional work fatigue, with low suicidal ideation, low depression and anxiety, high self-esteem and low social phobia); cluster 3 = People in distress (High suicidal ideation, high depression and anxiety, with low self-esteem & high social phobia).
aReference group