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Table 2 Association of SEP (FAI, education, occupation) and conventional potential confounding factors among urban and rural participants in Nanjing, China

From: The relationship between socioeconomic position and health literacy among urban and rural adults in regional China

Characteristic

Education in years (n and %*)

P **

Family average income (n and %*)

P **

Occupation (n and %*)

P **

Lower

Middle

Higher

Lower

Middle

Higher

Blue collar

White collar

Area

 Urban

1962 (25.6)

1846 (30.0)

2433 (44.4)

< 0.001

1319 (19.5)

2009 (33.1)

2913 (47.4)

< 0.001

5146 (81.5)

1095 (18.5)

< 0.001

 Rural

1968 (76.5)

352 (16.2)

137 (7.3)

 

1724 (68.6)

545 (23.6)

188 (7.8)

 

2280 (92.4)

177 (7.6)

 

Gender

 Male

1809 (27.3)

1121 (28.6)

1325 (44.2)

< 0.001

1479 (23.6)

1221 (31.4)

1555 (45.0)

0.071

3613 (82.2)

642 (17.8)

0.584

 Female

2121 (33.9)

1077 (28.8)

1245 (37.4)

 

1585 (24.3)

1328 (32.2)

1530 (43.6)

 

3813 (82.8)

630 (17.2)

 

Age (years)

 25–39

413 (11.4)

601 (23.52.2)

1540 (66.5)

< 0.001

616 (18.7)

716 (31.8)

1222 (49.5)

< 0.00

2029 (78.1)

525 (21.9)

< 0.001

 40–54

1648 (37.3)

860 (31.2)

747 (31.5)

 

1241 (27.2)

931 (31.2)

1083 (41.6)

 

2816 (84.4)

439 (15.6)

 

 55–69

1869 (51.3)

737 (35.5)

283 (13.3)

 

1205 (28.6)

903 (34.7)

781 (36.8)

 

2581 (86.7)

308 (13.3)

 
  1. * Weighted percentages across row
  2. ** Chi-square was used to make comparisons between subgroups of each variable based on weighted data