Table 2 Predictors of health status based on a multinominal regression model
In general, would you say your health is…a | Significance | Exp(B) | 95 % confidence interval Exp(B) | ||
|---|---|---|---|---|---|
Lower limit | Upper limit | ||||
Good | Constant | ,030 | |||
Gender: male | ,040 | ,637 | ,414 | ,980 | |
Nationality (ref. Norwegian) | |||||
German | ,585 | ,548 | ,063 | 4,739 | |
Hungarian | ,143 | ,218 | ,028 | 1,677 | |
Financial situation (ref. often/daily problems) | |||||
No/hardly any financial problems | ,003 | 2,379 | 1,334 | 4,242 | |
Sometimes problems | ,002 | 2,966 | 1,494 | 5,886 | |
Study place (ref. Budapest) | |||||
Dresden | ,683 | ,818 | ,313 | 2,140 | |
Munich | ,843 | ,900 | ,318 | 2,548 | |
Pécs | ,193 | 1,403 | ,843 | 2,337 | |
Living situation: alone | ,236 | ,740 | ,449 | 1,219 | |
Very good | Constant | ,001 | |||
Gender: male | ,857 | 1,039 | ,684 | 1,578 | |
Nationality (ref. Norwegian) | |||||
German | ,217 | ,263 | ,032 | 2,196 | |
Hungarian | ,014 | ,081 | ,011 | ,601 | |
Financial situation (ref. often/daily problems) | |||||
No/hardly any financial problems | ,000 | 2,788 | 1,590 | 4,891 | |
Sometimes problems | ,007 | 2,538 | 1,296 | 4,973 | |
Study place (ref. Budapest) | |||||
Dresden | ,768 | ,868 | ,338 | 2,226 | |
Munich | ,952 | ,969 | ,349 | 2,686 | |
Pécs | ,419 | 1,230 | ,745 | 2,030 | |
Living situation: alone | ,081 | ,647 | ,397 | 1,054 | |
Excellent | Constant | ,015 | |||
Gender: male | ,127 | 1,402 | ,909 | 2,164 | |
Nationality (ref. Norwegian) | |||||
German | ,166 | ,222 | ,027 | 1,864 | |
Hungarian | ,004 | ,052 | ,007 | ,390 | |
Financial situation (ref. often/daily problems) | |||||
No/hardly any financial problems | ,000 | 4,092 | 2,168 | 7,724 | |
Sometimes problems | ,016 | 2,515 | 1,184 | 5,344 | |
Study place (ref. Budapest) | |||||
Dresden | ,242 | ,562 | ,214 | 1,475 | |
Munich | ,884 | ,926 | ,328 | 2,610 | |
Pécs | ,132 | 1,494 | ,886 | 2,521 | |
Living situation: alone | ,503 | ,842 | ,509 | 1,393 | |