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 |