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Table 3 Multivariate logistic regression analysis

From: HEV prevalence and potential risk factors in a large multi-ethnic youth cohort in China

Variables

Total

Positive for anti-HEV IgG (rate %)

P-value

OR (95% CI)

Sex

  

0.058*

 

 Female

3589

189 (5.3)

 

1

 Male

2680

111 (4.1)

 

0.78 (0.62–1.00)

Ethnic

  

0.017*

 

Overall

6269

300 (4.8)

 

1

 Bai

60

6 (10.0)

 

1.67 (0.65–4.29)

 Bouyei

74

6 (8.1)

 

1.33 (0.52–3.38)

 Dong

74

13 (17.6)

 

3.21 (1.54–6.67)

 Dongxiang

124

2 (1.6)

 

0.25 (0.06–1.06)

 Gelao

41

4 (9.8)

 

1.63 (0.53–4.96)

 Han

2292

92 (4.0)

 

0.63 (0.39–1.01)

 Hui

846

16 (1.9)

 

0.29 (0.15–0.56)

 Kazakh

40

0 (0.0)

 

0.0

 Li

69

3 (4.3)

 

0.68 (0.20–2.34)

 Man

118

2 (1.7)

 

0.26 (0.06–1.12)

 Miao

278

34 (12.2)

 

2.1 (1.20–3.65)

 Mongol

245

4 (1.6)

 

0.25 (0.08–0.73)

 Monguor

54

4 (7.4)

 

1.20 (0.40–3.62)

 Others

161

13 (8.1)

 

1.32 (0.40–3.62)

 She

26

1 (3.85)

 

0.60 (0.08–4.64)

 Tibetan

555

31 (5.6)

 

0.89 (0.51–1.55)

 Tujia

353

15 (4.2)

 

0.67 (0.34–1.30)

 Uighur

280

9 (3.2)

 

0.50 (0.23–1.10)

 Yao

56

5 (8.9)

 

1.47 (0.54–4.05)

 Yi

154

17 (11.0)

 

1.87 (0.97–3.60)

 Zhuang

369

23 (6.2)

 

1.00 (0.65–1.48)

Province

  

0.00*

 

Overall

6269

300 (4.8)

 

1

 Anhui

62

2 (3.2)

 

0.97 (0.16–8.75)

 Chongqing

223

13 (5.8)

 

1.85 (0.41–8.46)

 Fujian

67

0 (0.0)

 

0

 Gansu

887

47 (5.3)

 

1.68 (0.40–7.08)

 Guangxi

433

29 (6.9)

 

2.23 (0.52–9.59)

 Guizhou

516

59 (11.4)

 

3.87 (0.92–16.26)

 Hainan

101

4 (4.0)

 

1.24 (0.22–6.96)

 Hebei

118

2 (1.7)

 

0.52 (0.07–3.76)

 Heilongjiang

119

2 (1.7)

 

0.51 (0.07–3.73)

 Henan

176

2 (1.1)

 

0.34 (0.05–2.49)

 Hubei

151

7 (4.6)

 

1.47 (0.30–7.27)

 Hunan

280

12 (4.3)

 

1.34 (0.29–6.17)

 Inner Mongolia

291

2 (0.7)

 

0.21 (0.03–1.50)

 Jiangsu

51

3 (5.9)

 

1.87 (0.30–11.68)

 Jiangxi

54

3 (5.6)

 

1.76 (0.28–10.98)

 Jilin

112

1 (0.9)

 

0.27 (0.02–3.04)

 Liaoning

152

4 (2.6)

 

0.81 (0.14–4.54)

 Ningxia

341

5 (1.5)

 

0.45 (0.08–2.35)

 Qinghai

409

11 (2.7)

 

0.83 (0.18–3.83)

 Shaanxi

118

4 (3.4)

 

1.05 (0.19–5.91)

 Shandong

104

1 (1.0)

 

0.29 (0.03–3.28)

 Shanxi

51

0 (0.0)

 

0.00

 Sichuan

257

26 (10.1)

 

3.38 (0.78–14.63)

 Others

82

1 (1.2)

 

0.37 (0.03–4.18)

 Tibet

231

6 (2.6)

 

0.80 (0.16–4.06)

 Xinjiang

427

15 (3.5)

 

1.09 (0.24–4.89)

 Yunnan

399

37 (9.3)

 

3.06 (0.72–13.06)

 Zhejiang

57

1 (1.8)

 

0.54 (0.05–6.07)

  1. *The ORs and 95% confidence intervals (CIs) use multivariate logistic regression analysis
  2. #Others provinces (Beijing: 4, Guangdong: 18, Shanghai: 6, Tianjin: 6 and unknown (not mentioned provincial background detail: 48)