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. 2013 Sep 4;13:803. doi: 10.1186/1471-2458-13-803

Table 3.

Effects of age at diagnosis and year of diagnosis (model 0), and gender and illness duration (model 1) and disease characteristics and socio-economic indicators of the year of diagnosis (model 2) on labour participation of people with chronic illness, total sample (N = 4357)

  Model 01
Model 12
Model 22
estimate (se) estimate (se) estimate (se)
Random effects
 
 
 
- Age at diagnosis (level 2):
men
0.99 (0.22)
1.80 (0.37)
1.56 (0.33)
women
0.86 (0.18)
0.75 (0.16)
0.58 (0.13)
- Year of diagnosis (level 2):
men
0.28 (0.10)
0 (0)
0 (0)
women
0.27 (0.09)
0.0005 (0.02)
0 (0)
- Individual (level 1)
constraint (1)
constraint (1)
constraint (1)
Fixed effects
 
 
 
Gender
 
 
 
- Male
0.47 (0.17)
0.42 (0.20)
0.41 (0.24)
- Female
−0.57 (0.15)
−0.36 (0.13)
−0.37 (0.20)
Illness duration
 
 
 
- In years:
men
 
−0.12 (0.01)
−0.09 (0.02)
women
 
−0.05 (0.01)
−0.01 (0.02)
- In years squared:
men
 
0.007 (0.001)
0.006 (0.001)
women
 
0.001 (0.001)
−0.0006 (0.001)
- In years cubed:
men
 
−0.0001 (0.00002)
−0.0001 (0.00003)
women
 
−0.00002 (0.00002)
0.000005 (0.00002)
Type of chronic illness (ref. cardiovascular disease)
 
 
 
- Cancer
 
 
−0.50 (0.21)
- Diabetes
 
 
0.07 (0.15)
- Asthma / COPD
 
 
0.54 (0.14)
- Musculoskeletal
 
 
−0.17 (0.14)
- Neurological
 
 
−0.03 (0.16)
- Digestive
 
 
0.06 (0.19)
- Other
 
 
0.45 (0.14)
Number of chronic diseases (1–4)
 
 
−0.40 (0.06)
Disability insurance policy in year of diagnosis (reference year: 2004)
 
 
 
- Until 1966
 
 
−0.01 (0.65)
- 1967 till 1984
 
 
−0.25 (0.31)
- 1985 till 1986
 
 
0.11 (0.26)
- 1987 till 1992
 
 
−0.10 (0.15)
- 1993 till 2001
 
 
0.0003 (0.0001)
- 2002 till 2003
 
 
−0.45 (0.23)
- 2005
 
 
0.04 (0.27)
- 2006 till 2009
 
 
0.51 (0.25)
Percentage registered unemployment, in year of diagnosis
 
 
−0.04 (0.02)
Gross Domestic Product – % volume change, in year of diagnosis     0.009 (0.02)

1model corrected for observation year.

2model corrected for observation year, education level, marital status, region and urbanisation level of place of residence.

in bold: significant estimates (Student’s T > 1.96, P < .05); se = standard error.