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Table 2 Percentages of abstainers, and of non-hazardous and hazardous alcohol users among the survey responders, with corresponding estimates of non-responders, adjusted for the differing alcohol-related hospitalization rates

From: Non-response bias and hazardous alcohol use in relation to previous alcohol-related hospitalization: comparing survey responses with population data

 

Responders

Non-responders1

Adjusted estimate1

Material

non-hospitalized %

hospitalized

all %

all %

all %

%

RR

2006 cross-sectional sample

      

Abstainers

11.9

18.3

1.54**

12.0

12.1

12.0

Non-hazardous users

66.8

48.1

0.72***

66.6

66.3

66.5

Hazardous users

21.3

33.6

1.58***

21.4

21.6

21.5

 

100.0

100.0

 

100.0

100.0

100.0

Internal missing values

0.9

1.8

2.01

0.9

  

Not missing

99.1

98.2

0.99

99.1

  
 

100.0

100.0

 

100.0

  

2002-2007 longitudinal sample

      

Abstainers

9.2

14.8

1.61*

9.2

9.3

9.3

Non-hazardous users

82.3

53.2

0.65***

82.1

81.6

81.8

Hazardous users

8.5

32.0

3.76***

8.7

9.1

8.9

 

100.0

100.0

 

100.0

100.0

100.0

Internal missing values

3.1

9.0

2.88***

3.2

  

Not missing

96.9

91.0

0.94***

96.8

  
 

100.0

100.0

 

100.0

  

Both samples

      

Abstainers

10.8

17.1

1.58***

10.9

10.9

11.0

Non-hazardous users

73.2

49.9

0.68***

73.0

72.6

72.8

Hazardous users

16.0

33.0

2.06***

16.2

16.4

16.3

 

100.0

100.0

 

100.0

100.0

100.0

Internal missing values

1.8

4.6

2.48***

1.9

  

Not missing

98.2

95.4

0.97***

98.1

  
 

100.0

100.0

 

100.0

  
  1. *p < 0.05 ** p < 0.01 *** p < 0.001 significance levels are given for the hospitalized in comparison with the non-hospitalized, using Wald chi-square tests for logistic regression models.
  2. 1 The estimated rates of abstainers, and non-hazardous and hazardous alcohol users among the non-responders, were assumed to be the same as among the responders within each stratum of hospitalization, i.e., among persons with and without previous alcohol-related hospitalization. The non-responders’ rates were adjusted only for their greater likelihood of previous hospitalization (see Table 1). This adjustment was based on un-weighted numbers. Otherwise, weighted estimates which compensated for the stratification by gender, municipality, and city district were used in the table.