Skip to main content

Table 2 Sociodemographic and work-related characteristics of the overall study sample and the three clusteres

From: Behind the times? Associations of working-time autonomy with health-related and occupational outcomes in health care personnel– a latent profile analysis

 

Overall

Cluster 1–

High autonomy

Cluster 2

Medium to high autonomy

Cluster 3

Low autonomy

Sign. Difference1

Sociodemographic characteristics

Age

51.1 (SD: 9.7)

52.7 (SD: 8.9)

51.2 (SD: 9.5)

50.5 (SD: 9.5)

0.082

Gender

     

female

816 (74.7%)

143 (72.2%)

290 (70.6%)

380 (79.2%)

0.009

Education

< 12 years

542 (49.6%)

81 (40.9%)

178 (42.9%)

283 (59.0%)

< 0.001

≥ 12 years

547 (50.1%)

116 (58.6%)

237 (57.1%)

194 (40.4%)

 

missing

4 (0.4%)

1 (0.5%)

/

3 (0.6%)

 

Monthly income

< 1000

76 (7.7%)

19 (10.9%)

22 (5.8%)

35 (8.1%)

0.091

1.001–2000

257 (25.9%)

41 (23.4%)

86 (22.5%)

130 (30.0%)

 

2001–3000

259 (26.1%)

38 (21.7%)

88 (23.0%)

133 (30.7%)

 

3001–4000

70 (7.1%)

29 (16.6%)

51 (13.4%)

22 (5.1%)

 

4001–5000

> 5.001

missing

30 (3.0%)

102 (10.3%)

    

children < 18 yrs, n (%)

yes

340 (31.1%)

64 (32.3%)

150 (36.1%)

126 (26.3%)

0.006

Work-related variables

Working hrs/week

36.3 (SD: 12.9)

35.7 (SD: 14.5)

36.7 (SD: 12.3)

36.1 (SD: 12.6)

0.353

Shift work

yes

401 (36.7%)

25 (12.6%)

125 (30.1%)

251 (52.3%)

< 0.001

Occupational status

being employed

965 (88.7%)

137 (69.9%)

364 (87.71%)

464 (97.3%)

< 0.001

Leadership position

yes

642 (58.8%)

104 (52.5%)

222 (53.6%)

316 (65.8%)

< 0.001

  1. Note M = mean, SD = standard deviation, monthly income = gross income, per person, in Euros; working hrs/week = including overtime hours; occupational status = being employed vs. self-employed; 1chi-square tests, ANOVA, and Kruskal Wallis, as appropriate