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Table 2 Predictors of health status based on a multinominal regression model

From: Do socio-cultural factors influence medical students’ health status and health-promoting behaviors? A cross-sectional multicenter study in Germany and Hungary

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
  1. a. reference category: poor/fair health