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Table 6 Binary logistics regression analysis of overall depression in the elderly (OR, 95% CI)

From: Factors affecting the evolution of Chinese elderly depression: a cross-sectional study

Variable

Model 1a

Model 2b

Model 3c

Model 4d

Years (2011)

Ref

Ref

Ref

Ref

 2013

1.080(0.996–1.172)

1.165**(1.065–1.273)

1.213***(1.114–1.321)

1.287***(1.172–1.413)

 2015

1.278***(1.181–1.383)

1.329***(1.225–1.442)

1.449***(1.333–1.575)

1.496***(1.374–1.630)

 2018

1.374***(1.274–1.482)

1.568***(1.447–1.700)

1.968***(1.810–2.140)

2.213***(2.025–2.419)

Area (east)

 

Ref

 

Ref

 Middle

–

1.537***(1.433–1.649)

–

1.416***(1.315–1.524)

 Western

–

1.943***(1.812–2.084)

–

1.777***(1.652–1.912)

Gender (male)

 

Ref

 

Ref

 Formale

–

1.534***(1.447–1.627)

–

1.521***(1.431–1.618)

Age (60 ~ 69)

 

Ref

 

Ref

 70 ~ 79

–

0.871***(0.817–0.928)

–

0.832***(0.779–0.890)

 ≥ 80

–

0.833**(0.743–0.935)

–

0.798***(0.707–0.901)

Marriage (married)

 

Ref

 

Ref

 Unmarried

–

1.262***(1.174–1.356)

–

1.294***(1.199–1.396)

Education (Illiterate or Primary school)

 

Ref

 

Ref

 Middle school

–

0.788***(0.722–0.860)

–

0.775***(0.708–0.849)

 High school or above

–

0.743***(0.637–0.868)

–

0.771**(0.656–0.907)

Residence (rural)

 

Ref

 

Ref

 City/town

–

0.643***(0.593–0.696)

–

0.635***(0.584–0.691)

Individual income (< 10,000)

 

Ref

 

Ref

 10,000 ~ 20,000

–

0.915*(0.841–0.995)

–

0.923(0.845–1.007)

 ≥ 20,000

–

0.695***(0.624–0.774)

–

0.741***(0.662–0.829)

Social activity (no)

  

Ref

Ref

 Yes

–

–

0.770***(0.727–0.816)

0.825***(0.777–0.875)

Nighttime sleep (< 7 h)

  

Ref

Ref

 ≥ 7 h

–

–

0.543***(0.511–0.576)

0.549***(0.517–0.584)

ADL disability (no)

  

Ref

Ref

 Yes

–

–

1.991***(1.806–2.194)

2.010***(1.817–2.222)

Self-reported heath (good)

  

Ref

Ref

 General

–

–

1.735***(1.561–1.929)

1.711***(1.537–1.906)

 Poor

–

–

3.677***(3.315–4.079)

3.553***(3.197–3.950)

Chronic disease (0)

  

Ref

Ref

 ≥ 1

–

–

1.262***(1.179–1.351)

1.287***(1.200–1.380)

  1. Binary regression analysis of the total sample of the fourth phase of the survey (N = 21,484). The results of the chi-square analysis are provided in the attachment, and the results show that there are differences in the detection of depression among the elderly with different gender, age, marriage, income, education, residence, region, sleep time, social activities, self-rated health, and ADL  (Table 7) 
  2. *P < 0.05; **P < 0.01; ***P < 0.001
  3. a The basic model, and only the year is added
  4. b On the basis of Model 1, Adjusted age, region, gender, residence, individual income, education and marriage
  5. c Based on Model 1, adjust self-reported health, nighttime sleep, social activities, and ADL
  6. d On the basis of Model 1, health status and socioeconomic characteristics were included