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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