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Erschienen in: BMC Public Health 1/2020

Open Access 01.12.2020 | Correction

Correction to: Associations between change in labour market policies and work stressors: a comparative longitudinal survey data analysis from 27 European countries

verfasst von: T. Lunau, M. Wahrendorf, N. Dragano, J. Siegrist, K. A. van der Wel, M. Rigó

Erschienen in: BMC Public Health | Ausgabe 1/2020

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The original article can be found online at https://​doi.​org/​10.​1186/​s12889-020-09364-3 .
Correction to: BMC Public Health 20, 1377 (2020)
https://doi.org/10.1186/s12889-020-09364-3
It was highlighted that in the original article [1] there was a misalignment in Tables 3 and 5. This Correction article shows the correct Tables 3 and 5. The original article has been updated.
Table 3
Association between individual variables and work stressors (based on linear multilevel models)
 
ERI
Effort
Reward
Job strain
Control
b
p
b
p
b
p
b
p
b
p
Model 0
 Variance
Level 3 (Country)
.0007
 
.0032
 
0.0019
 
.0017
 
.0046
 
Level 2 (Country-years)
.0004
 
.0004
 
0.0008
 
.0004
 
.0005
 
Level 1 (Individual)
.0326
 
.0449
 
0.0312
 
.0418
 
.0479
 
Model 1
Level 1 (Individuals)
 Year (ref. 2005)
2010
−.0001
.992
−.0113
.072
−.0131
.039
.0007
.914
−.0156
.013
2015
−.0107
.055
−.0030
.938
.0215
.001
.0064
.313
−.0157
.013
 Age (ref. <=30)
30 < age < 55
.0063
≤.001
−.0096
≤.001
−.0242
≤.001
−.0193
≤.001
.0229
≤.001
age > =55
−.0087
≤.001
−.0447
≤.001
−.0378
≤.001
−.0433
≤.001
.0233
≤.001
 Gender (ref. male)
female
.0199
≤.001
.0090
≤.001
−.0244
≤.001
.0338
≤.001
−.0461
≤.001
 ISCO (ref. ISCO1)
ISCO2
−.0020
.445
.0319
≤.001
.0357
≤.001
−.0253
≤.001
.0681
≤.001
ISCO3
−.0275
≤.001
.0163
≤.001
.0638
≤.001
−.0741
≤.001
.1328
≤.001
ISCO4
−.0406
≤.001
.0353
≤.001
.1100
≤.001
−.1248
≤.001
.2445
≤.001
 Contract (ref. permanent contract)
fixed term contract
.0318
≤.001
−.0120
≤.001
−.0652
≤.001
.0215
≤.001
−.0404
≤.001
temporary employment
.0615
≤.001
−.0064
.364
−.1082
≤.001
.0625
≤.001
−.0914
≤.001
apprenticeship
−.0357
≤.001
−.0373
≤.001
.0230
.010
−.0214
.024
−.0232
.017
other
.0170
≤.001
−.0295
≤.001
−.0595
≤.001
−.0118
≤.001
−.0111
.001
 NACE (ref. agriculture)
industry
.0393
≤.001
.0633
≤.001
.0007
.880
.0543
≤.001
−.0209
≤.001
services
.0296
≤.001
.0409
≤.001
−.0076
.112
.0365
≤.001
−.0229
≤.001
public administration
−.0116
.036
.0123
.058
.0328
≤.001
−.0144
.016
.0262
≤.001
other services
−.0043
.402
−.0022
.719
.0021
.662
−.0126
.023
.0032
.509
 Constant
 
.7996
≤.001
1.3890
≤.001
1.7494
≤.001
.8127
≤.001
1.7326
≤.001
 Variance
Level 3 (Country)
.0007
 
.0035
 
.0017
 
.0017
 
.0032
 
Level 2 (Country years)
.0003
 
.0004
 
.0005
 
.0004
 
.0004
 
Level 1 (Individual)
.0317
 
.0439
 
.0289
 
.0385
 
.0404
 
N
 
64,659
64,659
64,659
 
67,114
 
67,114
 
Note: Model 0 presents the variance of the outcome variable on the individual (level 1), the country year (level 2) and the country level (level 3)
Table 5
Association between macro level variables and work stressors (Effort, Reward; based on linear multilevel models)
 
Effort
Reward
Model 2
Model 3
Model 4
Model 5
Model 2
Model 3
Model 4
Model 5
b
p
b
p
b
p
b
p
b
p
b
p
b
p
b
p
Level 2
ALMP (LE)
−.1763
(.268)
−.1624
(.316)
    
.4427
(.003)
.4367
(.004)
    
(Country Year)
PLMP (LE)
    
.0163
(.859)
.0143
(.877)
    
.1219
(.182)
.1267
(.168)
GDP (LE)
  
−.0006
(.571)
  
−.0007
(.478)
  
.0002
(.813)
  
.0007
(.477)
Level 3
ALMP (BE)
.5487
(.008)
.2408
(.334)
    
.3547
(.018)
.1184
(.508)
    
(Country)
PLMP (BE)
    
.3359
(.004)
.1671
(.255)
    
.2179
(.0113)
.0812
(.439)
GDP (BE)
  
.0013
(.048)
  
.0012
(.066)
  
.0010
(.034)
  
.0009
(.040)
Constant
 
1.359
(≤.001)
1.3349
(≤.001)
1.3500
(≤.001)
1.3311
(≤.001)
1.7293
(≤.001)
1.7134
(≤.001)
1.7232
(≤.001)
1.7121
(≤.001)
Variance
Level 3 (Country)
.0028
 
.0024
 
.0027
 
.0024
 
.0014
 
.0012
 
.0013
 
.0011
 
Level 2 (Country years)
.0004
 
.0004
 
.0005
 
.0005
 
.0004
 
.0004
 
.0005
 
.0005
 
Level 1 (Individual)
.0439
 
.0439
 
.0439
 
.0439
 
.0289
 
.0289
 
.0289
 
.0289
 
N
 
64,659
 
64,659
 
64,659
 
64,659
 
64,659
 
64,659
 
64,659
 
64,659
 
Note: All models are adjusted for the following level 1 individual characteristics: year, age, gender, ISCO, contract and NACE. BE (between effects) refers to the country mean of the respective macro variable over the three waves, LE (longitudinal effects) refers to the within-country variation of the macro variable
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Titel
Correction to: Associations between change in labour market policies and work stressors: a comparative longitudinal survey data analysis from 27 European countries
verfasst von
T. Lunau
M. Wahrendorf
N. Dragano
J. Siegrist
K. A. van der Wel
M. Rigó
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2020
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-020-09647-9

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