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. 2013 Mar 4;8:10. doi: 10.1186/1747-597X-8-10

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

 
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    

*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.

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.