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Table 2 Distribution of the variables in agricultural and non-agricultural workers with and without depressive symptoms

From: Decomposition analysis of differences in depressive symptoms between agricultural and non-agricultural workers in China

Variable

Agricultural workers

P

Non-agricultural workers

P

Non-DS

[n(%)/\(\:\stackrel{-}{x}\)±SD]

DS

[n(%)/\(\:\stackrel{-}{x}\)±SD]

Non-DS

[n(%)/\(\:\stackrel{-}{x}\)±SD]

DS

[n(%)/\(\:\stackrel{-}{x}\)±SD]

Age(years)

  

0.002

  

0.955

 16–44

1123(25.37)

205(20.16)

 

4223(64.11)

539(64.01)

 

 45–64

2413(54.52)

599(58.90)

 

2189(33.23)

282(33.49)

 

 ≥ 65

890(20.11)

213(20.94)

 

175(2.66)

21(2.49)

 

Gender

  

< 0.001

  

0.001

 Female

2158(48.76)

612(60.18)

 

2625(39.85)

386(45.84)

 

 Male

2268(51.24)

405(39.82)

 

3962(60.15)

456(54.16)

 

Residence

  

0.007

  

0.001

 Rural

3252(73.47)

789(77.58)

 

2258(34.28)

338(40.14)

 

 Urban

1174(26.53)

228(22.42)

 

4329(65.72)

504(59.86)

 

BMI(kg/m2)

  

< 0.001

  

0.028

 < 18.5

299(6.76)

119(11.70)

 

403(6.12)

72(8.55)

 

 18.5–23.9

2413(54.52)

587(57.72)

 

3577(54.30)

459(54.51)

 

 24.0-27.9

1317(29.76)

223(21.93)

 

2043(31.02)

251(29.81)

 

 ≥ 28.0

397(8.97)

88(8.65)

 

564(8.56)

60(7.13)

 

Marital status

  

< 0.001

  

< 0.001

 Not married

341(7.70)

167(16.42)

 

1216(18.46)

218(25.89)

 

 Married

4085(92.30)

850(83.58)

 

5371(81.54)

624(74.11)

 

Education level

  

< 0.001

  

< 0.001

 Illiterate/Semiliterate

1607(36.31)

489(48.08)

 

443(6.73)

93(11.05)

 

 Primary school

1239(27.99)

263(25.86)

 

893(13.56)

153(18.17)

 

 Middle school

1226(27.70)

219(21.53)

 

2258(34.28)

300(35.63)

 

 High school/Junior college

337(7.61)

44(4.33)

 

2225(33.78)

237(28.15)

 

 Bachelor or above

17(0.38)

2(0.20)

 

768(11.66)

59(7.01)

 

Self-rated income

  

< 0.001

  

< 0.001

 Poor

1147(25.92)

406(39.92)

 

1813(27.52)

397(47.15)

 

 So so

2045(46.20)

349(34.32)

 

3609(54.79)

333(39.55)

 

 Rich

1234(27.88)

262(25.76)

 

1165(17.69)

112(13.30)

 

SRH

  

< 0.001

  

< 0.001

 Bad

1401(31.65)

572(56.24)

 

1101(16.71)

302(35.87)

 

 Good

3025(68.35)

445(43.76)

 

5486(83.29)

540(64.13)

 

Chronic disease

  

< 0.001

  

< 0.001

 No

3678(83.10)

739(72.66)

 

6034(91.60)

710(84.32)

 

 Yes

748(16.90)

278(27.34)

 

553(8.40)

132(15.68)

 

Smoking

  

0.010

  

0.585

 No

2989(67.53)

729(71.68)

 

4264(64.73)

537(63.78)

 

 Yes

1437(32.47)

288(28.32)

 

2323(35.27)

305(36.22)

 

Drinking

  

< 0.001

  

0.021

 No

3500(79.08)

867(85.25)

 

5304(80.52)

706(83.85)

 

 Yes

926(20.92)

150(14.75)

 

1283(19.48)

136(16.15)

 

Exercise

  

0.342

  

< 0.001

 No

2666(60.23)

629(61.85)

 

3427(52.03)

521(61.88)

 

 Yes

1760(39.77)

388(38.15)

 

3160(47.97)

321(38.12)

 

Medical insurance

  

0.013

  

0.009

 No

182(4.11)

60(5.90)

 

531(8.06)

90(10.69)

 

 Yes

4244(95.89)

957(94.10)

 

6056(91.94)

752(89.31)

 

Job satisfaction

  

< 0.001

  

< 0.001

 Dissatisfied

710(16.04)

284(27.93)

 

661(10.03)

219(26.01)

 

 Satisfied

3716(83.96)

733(72.07)

 

5926(89.97)

623(73.99)

 

Life satisfaction

6.43±1.58

5.47±2.07

< 0.001

6.18±1.48

4.98±1.92

< 0.001

  1. Note: P values were calculated by Wilcoxon rank sum test for continuous variables and chi-square test for categorical variables