Skip to main content

Table 3 Relative odds of depression with daytime nap stratified by residency, education, income, occupation, MET and age *

From: The relationship between depression, daytime napping, daytime dysfunction, and snoring in 0.5 million Chinese populations: exploring the effects of socio-economic status and age

  Female (N = 302,632) P Male
(N = 210,259)
P Overall
(N = 512,891)
P
Age
  < =45 1.09 (0.87–1.38) 0.4508 1.43 (1.04–1.97) 0.0279 1.23 (1.02–1.48) 0.0286
 45–65 1.24 (1.03–1.48) 0.0202 1.41 (1.10–1.82) 0.0078 1.29 (1.12–1.49) 0.0006
  > 65 0.90 (0.58–1.40) 0.6394 1.12 (0.65–1.94) 0.6905 1.01 (0.72–1.42) 0.9483
Residency
 Urban 0.71 (0.60–0.84) < 0.0001 0.89 (0.63–1.17) 0.4073 0.75 (0.65–0.87) 0.0001
 Rural 1.13 (0.93–1.39) 0.2168 1.66 (1.31–2.10) < 0.0001 1.31 (1.13–1.52) 0.0003
Education
 Uneducated & Primary school 1.37 (1.14–1.65) 0.0009 1.54 (1.15–2.05) 0.0037 1.42 (1.22–1.66) < 0.0001
 High schools 0.93 (0.76–1.14) 0.4905 1.30 (0.99–1.60) 0.0551 1.06 (0.90–1.24) 0.4975
 University 1.29 (0.68–2.45) 0.4309 1.68 (0.87–3.26) 0.1226 1.44 (0.92–2.25) 0.1093
Marriage
 Married 1.14 (0.98–1.34) 0.0942 1.45 (1.18–1.79) 0.0005 1.24 (1.10–1.40) 0.0007
 Unmarried 1.14 (0.88–1.49) 0.3205 1.28 (0.85–1.91) 0.2304 1.22 (0.99–1.52) 0.0685
Income (Yuan)
  < 9999 1.12 (0.90–1.40) 0.0059 1.25 (0.93–1.67) 0.1357 1.16 (0.98–1.39) 0.0870
 10,000–34,999 1.14 (0.94–1.38) 0.1897 1.62 (1.23–2.12) 0.0006 1.29 (1.11–1.50) 0.0011
  > 35,000 1.12 (0.77–1.65) 0.3186 1.36 (0.79–2.34) 0.2758 1.15 (0.85–1.57) 0.3716
  1. *Odds ratio was adjusted for residency, age, family mental disorder history, blood pressure, education, income, occupation, BMI, marital status, smoking, alcohol, MET statuses, sleep snoring, taking medicine for sleep, daytime dysfunction, difficulty falling asleep and interrupted sleep, total sleep duration, and disease statuses. “No daytime nap” group was chosen to be the reference group