# Table 4 Descriptive measures of presenteeism among gainfully occupied patients

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All patients

Nâ€‰=â€‰792

male

female

total

male

female

total

Nâ€‰=â€‰317

Nâ€‰=â€‰403

Nâ€‰=â€‰720

Nâ€‰=â€‰52

Nâ€‰=â€‰20

Nâ€‰=â€‰72

Number of days of reduced work in past 30Â days due to any health condition (WHODAS 2.0Â H3), mean (SD)

3.0 (6.1)

2.3 (5.1)

3.3 (6.2)

2.9 (5.8)

4.0 (8.2) *+

3.6 (7.5)

3.9 (8.0) *+

Number of days with at most half of usual work capacity in past 30Â days due to mental distress (K10 Q6), mean (SD)

2.0 (4.4)

1.4 (3.2)

2.1 (4.1)

1.7 (3.8)

3.2 (7.2)**+

6.7 (8.7)

4.1 (7.7) ***+

Impaired work productivity due to drinking in past six months

â€ƒAt least one day, proportion (95Â % CI)

3.8 (2.5â€“5.2)

4.2 (2.0â€“6.5)

0.3 (0.0â€“0.8)

2.0 (1.0â€“3.0)

24.1 (12.2â€“35.9) ***+

16.0 (0.0â€“32.7) **+

21.9 (12.1â€“31.7) ***+

â€ƒNumber of days, mean (SD)

0.3 (3.1)

0.1 (0.8)

0.0 (0.1)

0.1 (0.5)

2.9 (10.8) **+

0.4 (1.2) Â°Â°âˆ’

2.3 (9.4) **+ Â°âˆ’

1. Note
2. Significance between patients with and without AD was tested with zero-inflated negative binomial regressions for all count variables, using alcohol dependence and age as predictor in both count (predicting values >0) and logit (predicting 0) model. The following symbols indicate a significant AD predictor: count model * pâ€‰<â€‰.05 ** pâ€‰<â€‰.01 *** pâ€‰<â€‰.001; logit model Â° pâ€‰<â€‰.05 Â°Â° pâ€‰<â€‰.01 + or â€“ behind the symbol indicates valence of respective coefficient
3. For the binary variable indicating at least one day with impaired productivity due to drinking, an age-adjusted logistic regression was conducted. The same legend for p-values also applies to negative binomial models
4. AD Alcohol dependence, WHODAS World Health Organization Disability Assessment Schedule 2.0, SD Standard deviation, K10 Kessler Psychological Distress Scale, 95â€‰% CI 95Â % confidence interval