Skip to main content
. 2022 Aug;84(3):554–569. doi: 10.18999/nagjms.84.3.554

Table 2.

Crosstabulation of sleep efficiency with demographic, lifestyle, and work factors

Sleep efficiency
High SE Low SE
n (%) or
Mean ± SD
n (%) or
Mean ± SD
p
Age 42.8 ± 11.0 42.8 ± 11.7 0.99
Sex (Male) 147 (34.8) 155 (57.4) <0.01
Body mass index (kg/m2) 22.0 ± 3.4 22.8 ± 3.3 <0.01
Lifestyle habit
Longer sleeping hours on weekends than on weekdays (Yes) 186 (44.0) 99 (36.7) 0.07
Nightcap (Yes) 104 (24.6) 76 (28.1) 0.34
Smoking (Current smoker) 32 (7.6) 26 (9.6) 0.41
Exercise habits (More than once a week) 76 (18.0) 59 (21.9) 0.25
Smartphone use at bedtime (Yes) 251 (59.3) 183 (67.8) 0.03
TV watching in the bedroom (Yes) 123 (29.1) 74 (27.4) 0.70
Water ingestion at bedtime (Yes) 340 (80.4) 240 (88.9) <0.01
Ingestion of a caffeinated beverage
Coffee (More than one cup per day) 304 (71.9) 182 (67.4) 0.24
Green tea (More than one cup per day) 193 (45.6) 128 (47.4) 0.70
Tea (More than one cup per day) 82 (19.4) 54 (20.0) 0.92
Energy drink (More than one cup per day) 8 (1.9) 10 (3.7) 0.22
Shift worker (Yes) 34 (8.0) 29 (10.7) 0.28
Commuting time (hours) 0.53 ± 0.38 0.61 ± 0.64 0.04
Brief Scale for Job Stress
Workload 2.1 ± 0.8 2.2 ± 0.8 0.20
Mental workload 2.1 ± 0.7 2.3 ± 0.8 <0.01
Problems in personal relationships 1.9 ± 0.8 1.9 ± 0.8 0.61
Job control 2.9 ± 0.8 2.9 ± 0.7 0.58
Reward from work 2.9 ± 0.8 3.0 ± 0.8 0.04
Support from colleagues and superiors 3.0 ± 0.7 3.0 ± 0.7 0.20

Average and standard deviation (SD) for continuous data, percentage for categorical data and P-values are shown. Statistical analyses were conducted using the t test and chi-square tests.

SE: sleep efficiency

χ2 test or t-test, n = 693.