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Table 1 Variables included in the regression analysis

From: Place of residence & financial hardship: the situation of people with spinal cord injury

Variable Type Description
sex binary 1 = male; 0 = otherwise
age continous  
age2 continous  
nationality binary 1 = Swiss; 0 = otherwise
has a partner binary 1 = married or in a relationship; 0 = otherwise
children in the household binary 1 = children live in the household; 0 = otherwise
SCI type binary 1 = paraplegia; 0 = tetraplegia
SCI cause binary 1 = traumatic; 0 = nontraumatic
health quality categorical 1 = very dissatisfied; 2 = dissatisfied; 3 = neither satisfied, nor dissatisfied; 4 = satisfied; 5 = very satisfied
Spoken language:
 French binary 1 = speaks French; 0 = speaks German
 Italian binary 1 = speaks Italian; 0 = speaks German
Language region:
 French-speaking canton binary 1 = French-speaking; 0 = German-speaking
 Italian-speaking canton binary 1 = Italian-speaking; 0 = German-speaking
Education:
 vocational binary 1 = vocational education; 0 = compulsory education
 secondary binary 1 = secondary education; 0 = compulsory education
 university binary 1 = university education; 0 = compulsory education
Occupational situation:
 full-time job binary 1 = has a full-time payed activity; 0 = otherwise
 part-time job binary 1 = has a part-time payed activity; 0 = otherwise
 in education binary 1 = is in education; 0 = otherwise
 unpaid work binary 1 = non payed activity; 0 = otherwise
 unemployed binary 1 = searching for a job; 0 = otherwise
 homemaker binary 1 = stays at home; 0 = is unemployed
 invalidity pension binary 1 = receives invalidity pension; 0 = iotherwise
 retired binary 1 = is retired; 0 = otherwise
 other activity binary 1 = additional studies, voluntary activities, etc.; 0 = otherwise
 household income categorical 1 = < 1500 CHF; 2 = 1500–3000 CHF; 3 = 3000–4500 CHF; 4 = 4500–6000 CHF; 5 = 6000–7500 CHF; 6 = 7500–9000 CHF; 7= > 9000 CHF
Cantonal variables: binary 19 dummy variables were included. 1 = selected canton; 0 = canton of Zug