Table 4 The effect of SEP on weighted level of HL after stratification by age, gender and area of residence among urban and rural participants in Nanjing, China

 Urban

Education in years

0–9

1

10–12

1.61 (1.15, 2.26)

≥13

2.35 (1.53, 3.63)

Family average income

Low

1

Middle

1.53 (1.10, 2.14)

High

1.87 (1.17, 3.00)

Occupation

Blue collar

1

White collar

1.30 (1.06, 1.59)

 Rural

Education in years

0–9

1

10–12

1.61 (1.12, 2.30)

≥13

3.21 (1.58, 6.53)

Family average income

Low

1

Middle

1.91 (1.27, 2.87)

High

1.95 (1.20, 3.15)

Occupation

Blue collar

1

White collar

1.94 (1.11, 3.38)

 Male

Education in years

0–9

1

10–12

1.84 (1.30, 2.62)

≥13

2.73 (1.57, 4.73)

Family average income

Low

1

Middle

2.41 (1.60, 3.64)

High

2.47 (1.41, 4.33)

Occupation

Blue collar

1

White collar

1.10 (0.79, 1.53)

 Female

Education in years

0–9

1

10–12

1.54 (1.09, 2.18)

≥13

2.17 (1.46, 3.21)

Family average income

Low

1

Middle

1.10 (0.75, 1.61)

High

1.58 (0.99, 2.48)

Occupation

Blue collar

1

White collar

1.59 (1.21, 2.10)

 25–39

Education in years

0–9

1

10–12

1.61 (1.03, 2.52)

≥13

1.72 (1.12, 2.64)

Family average income

Low

1

Middle

2.05 (1.33, 3.16)

High

2.31 (1.48, 3.62)

Occupation

Blue collar

1

White collar

1.30 (1.02, 1.65)

 40–54

Education in years

0–9

1

10–12

1.75 (1.10, 2.78)

≥13

3.84 (2.24, 6.57)

Family average income

Low

1

Middle

1.25 (0.86, 1.80)

High

1.47 (0.85, 2.52)

Occupation

Blue collar

1

White collar

1.44 (1.03, 2.01)

 55–69

Education in years

0–9

1

10–12

1.40 (0.83, 2.37)

≥13

1.64 (0.86, 3.14)

Family average income

Low

1

Middle

1.42 (0.95, 2.12)

High

2.16 (1.13, 4.15)

Occupation

Blue collar

1

White collar

0.99 (0.60, 1.65)