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Table 1 General and occupational characteristics of study subjects by sleep duration

From: Factors related with quality on sleep of daytime workers

Variables

Sleep duration

Sleep duration

Mean ± SD

p-valuea

Fewer than 6 h

Over than 6 h

 

n (%)

n (%)

p-valueb

Age (in years)

 

0.384

 

0.009

 < 30

6.37 ± 1.03

 

102 (49.3)

105 (50.7)

 

 30–39

6.41 ± 0.96

 

232 (44.4)

291 (55.6)

 

 40–49

6.32 ± 0.97

 

144 (53.9)

123 (46.1)

 

50

6.27 ± 1.09

 

87 (57.6)

64 (42.4)

 

Sex

 

0.570

 

0.871

 Male

6.36 ± 0.95

 

516 (49.1)

534 (50.9)

 

 Female

6.42 ± 1.32

 

49 (50.0)

49 (50.0)

 

Working period (years)

 

0.502

 

0.776

5

6.43 ± 0.92

 

110 (47.2)

123 (52.8)

 

 6–10

6.44 ± 0.99

 

74 (42.3)

101 (57.7)

 

 11–15

6.38 ± 0.97

 

76 (46.6)

87 (53.4)

 

16

6.57 ± 1.10

 

39 (44.8)

48 (55.2)

 

Work type

 

0.006

 

0.004

 Blue-collar

6.42 ± 0.94

 

262 (44.9)

322 (55.1)

 

 Office worker

6.38 ± 1.09

 

152 (52.2)

139 (47.8)

 

 Researcher

6.17 ± 0.94

 

116 (57.4)

86 (42.6)

 

Smoking

 

0.171

 

0.580

 Non-smoker

6.42 ± 1.02

 

230 (46.8)

261 (53.2)

 

 Ex-smoker

6.44 ± 1.05

 

116 (47.5)

128 (52.5)

 

 Current-smoker

6.31 ± 0.89

 

172 (50.4)

169 (49.6)

 

Alcohol drinking

 

0.703

 

0.481

 Non-drinker

6.42 ± 1.04

 

57 (44.9)

70 (55.1)

 

 1/week

6.40 ± 0.97

 

241 (47.3)

269 (52.7)

 

 Over 2/week

6.36 ± 0.99

 

220 (50.2)

218 (49.8)

 

Exercise

 

0.187

 

0.238

 No

6.41 ± 1.00

 

332 (46.9)

376 (53.1)

 

 Yes

6.33 ± 0.95

 

186 (50.7)

181 (49.3)

 

BMI (kg/m2)c

 

0.308

 

0.186

 < 23

6.43 ± 0.97

 

179 (44.9)

220 (55.1)

 

 23–25

6.37 ± 0.99

 

152 (49.7)

154 (50.3)

 

 25–30

6.30 ± 1.00

 

204 (52.4)

185 (47.6)

 

30

6.30 ± 1.14

 

25 (52.1)

23 (47.9)

 

Metabolic syndrome

 

0.115

 

0.021

 No

6.38 ± 0.96

 

477 (47.7)

522 (52.3)

 

 Yes

6.24 ± 1.20

 

83 (58.0)

60 (42.0)

 

Musculoskeletal Pain

 

0.058

 

0.126

 No

6.39 ± 0.96

 

430 (48.2)

463 (51.8)

 

 Yes

6.24 ± 1.11

 

100 (54.3)

84 (45.7)

 
  1. aCalculated using t-test and ANOVA
  2. bCalculated using chi-square test
  3. cBMI Body Mass Index