Table 3 Associations between clusters and sleep characteristics.

From: Data-driven modelling approach to circadian temperature rhythm profiles in free-living conditions

 

Cluster

Mean

95% lower CI

95% upper CI

p value

FDR corrected p value

Sleep duration

Assumed sleep (hh:mm)

1

07:59

07:47

08:11

0.02

0.04

2

07:37

07:26

07:47

3

07:42

07:25

07:58

Sleep quality

Wake after sleep onset (hh:mm)

1

00:52

00:47

00:57

0.233

0.271

2

01:01

00:55

01:07

3

00:55

00:52

00:58

Sleep onset latency

(hh:mm)

1

00:18

00:13

00:25

0.115

0.145

2

00:22

00:17

00:28

3

00:17

00:15

00:20

Timing

Sleep onset (hh:mm)

1

00:12

23:54

00:30

< 0.001

< 0.001

2

02:03

01:41

02:22

3

00:48

00:36

01:00

Sleep midpoint (hh:mm)

1

04:02

03:47

04:15

< 0.001

< 0.001

2

06:02

05:41

06:23

3

04:40

04:31

05:50

Sleep offset (hh:mm)

1

07:54

07:43

08:08

< 0.001

< 0.001

2

10:06

09:40

10:32

3

08:35

08:26

08:44

Regularity

SD of sleep onset (min)

1

63.48

55.81

71.80

0.027

0.046

2

83.99

72.32

96.50

3

70.86

65.29

76.67

SD of sleep midpoint (min)

1

71.40

64.20

78.00

0.029

0.046

2

80.40

74.40

85.80

3

67.20

58.20

76.80

  1. Confidence intervals are calculated using bias corrected bootstrapping with 1000 bootstrapped resamples. False discovery rate corrected p values take account all omnibus analysis presented in article.