Skip to main content

Table 1 General distribution characteristics of epidemic strains in Sichuan province

From: Characterization of HIV-1 molecular epidemiology and transmitted drug-resistance in newly diagnosed HIV-infected patients in Sichuan, China

Variables

Total [%]a

The frequency and prevalence of different HIV-1 genotypes (%)b

χ2

P-values

n = 1297

CRF07_BC

CRF01_AE

CRF08_BC

CRF85_BC

B

Othersc

Gender

 Male

936 [72.17]

485 (51.81)

246 (26.28)

81 (8.65)

48 (5.12)

20 (2.13)

56 (5.98)

3.866

0.569

 Female

361 [27.83]

187 (51.8)

95 (10.14)

33 (3.52)

18 (1.92)

13 (1.38)

15 (1.6)

Age (years)

 < 25

71 [5.47]

48 (67.6)

17 (1.81)

0 (0)

0 (0)

0 (0)

6 (0.64)

83.627

< 0.0001*

 25~

183 [14.11]

128 (69.94)

29 (3.09)

7 (0.74)

0 (0)

6 (0.64)

13 (1.38)

 40~

197 [15.19]

110 (55.83)

45 (4.8)

27 (2.88)

3 (0.32)

4 (0.42)

8 (0.85)

 ≥ 50

846 [65.23]

386 (45.62)

250 (26.7)

80 (8.54)

63 (6.73)

23 (2.45)

44 (4.7)

Ethnicity

 Han

1212 [93.45]

603 (49.75)

331 (35.36)

111 (11.85)

66 (7.05)

32 (3.41)

69 (7.37)

45.287

< 0.0001*

 Yi

66 [5.09]

59 (89.39)

4 (0.42)

1 (0.1)

0 (0)

1 (0.1)

1 (0.1)

 Others

19 [1.46]

10 (52.63)

6 (0.64)

2 (0.21)

0 (0)

0 (0)

1 (0.1)

Education level

 Junior college or above

83 [6.40]

49 (59.03)

26 (2.77)

1 (0.1)

0 (0)

1 (0.1)

6 (0.64)

42.786

< 0.0001*

 High school or technical secondary school

99 [7.63]

60 (60.6)

23 (2.45)

3 (0.32)

1 (0.1)

1 (0.1)

11 (1.17)

 Middle school

336 [25.91]

193 (57.44)

73 (7.79)

32 (3.41)

15 (1.6)

7 (0.74)

16 (1.7)

 Primary school or illiterate

779 [60.06]

370 (47.49)

219 (23.39)

78 (8.33)

50 (5.34)

24 (2.56)

38 (4.05)

Marital status

 Unmarried

228 [17.58]

140 (61.4)

54 (5.76)

12 (1.28)

4 (0.42)

3 (0.32)

15 (1.6)

22.134

0.104

 Married

727 [56.05]

366 (50.34)

196 (20.94)

67 (7.15)

41 (4.38)

19 (2.02)

38 (4.05)

 Divorced/widowed

337 [25.98]

163 (48.36)

90 (9.61)

35 (3.73)

21 (2.24)

11 (1.17)

17 (1.81)

 Unknownd

5 [0.39]

3 (60)

1 (0.1)

0 (0)

0 (0)

0 (0)

1 (0.1)

Occupation

 Farmers

843 [65.00]

422 (50.05)

240 (25.64)

83 (8.86)

38 (4.05)

19 (2.02)

41 (4.38)

36.603

0.001*

 Unemployed

184 [14.19]

89 (48.36)

45 (4.8)

15 (1.6)

18 (1.92)

7 (0.74)

10 (1.06)

 Retired

49 [3.78]

30 (61.22)

6 (0.64)

3 (0.32)

6 (0.64)

1 (0.1)

3 (0.32)

 Others/unknown

221 [17.04]

131 (59.27)

50 (5.34)

13 (1.38)

4 (0.42)

6 (0.64)

17 (1.81)

Route of transmission

 HET-nonmarital and noncommercial

462 [35.62]

259 (56.06)

120 (12.82)

33 (3.52)

19 (2.02)

11 (1.17)

20 (2.13)

67.382

0.001*

 HET-commercial

556 [42.87]

257 (46.22)

149 (15.91)

62 (6.62)

44 (4.7)

12 (1.28)

32 (3.41)

 HET-nonmarriage

43 [3.32]

21 (48.83)

13 (1.38)

5 (0.53)

1 (0.1)

3 (0.32)

0 (0)

 HET-Spouses

129 [9.95]

72 (55.81)

32 (3.41)

12 (1.28)

2 (0.21)

5 (0.53)

6 (0.64)

 MSM

79 [6.09]

43 (54.43)

23 (2.45)

1 (0.1)

0 (0)

1 (0.1)

11 (1.17)

 IDUs

8 [0.62]

8 (100)

0 (0)

0 (0)

0 (0)

0 (0)

0 (0)

 Mother to child transmission

9 [0.69]

7 (77.77)

1 (0.1)

0 (0)

0 (0)

0 (0)

1 (0.1)

 Others/unknown

11 [0.85]

5 (45.45)

3 (0.32)

1 (0.1)

0 (0)

1 (0.1)

1 (0.1)

Regione

 Chengdu Plain

729 [56.21]

451 (61.86)

203 (21.68)

29 (3.09)

5 (0.53)

9 (0.96)

32 (3.41)

5188

< 0.0001*

 South Sichuan

371 [28.60]

96 (25.87)

93 (9.93)

76 (8.11)

62 (6.62)

17 (1.81)

27 (2.88)

 Northeast Sichuan

104 [8.02]

49 (47.11)

37 (3.95)

8 (0.85)

0 (0)

7 (0.74)

3 (0.32)

 Panzhihua-Xichang region

81 [6.24]

71 (87.65)

6 (0.64)

2 (0.21)

0 (0)

0 (0)

2 (0.21)

 Northwest Sichuan

12 [0.93]

8 (66.66)

4 (0.42)

0 (0)

0 (0)

0 (0)

0 (0)

  1. aNumbers in square brackets show the proportion of the cases as a percentage of the total 1297 subjects
  2. bNumbers in parentheses show the proportion of HIV-1 subtypes as a percentage of each variable
  3. cOther subtypes including CRF55_01B (1.00%), CRF105_0108 (0.85%), CRF79_0107 (0.39%), CRF59_01B (0.23%), CRF86_BC (0.15%), CRF57_BC(0.15%), subtype C (0.15%), CRF65_cpx (0.08%), CRF88_BC (0.08%), subtype D (0.08%), and URFs (1.77%)
  4. dSet as missing value
  5. eRegions are divided according to different geomorphic and cultural characteristics. Chengdu Plain includes cities of Chengdu, Deyang, Leshan, Suining, Ziyang, Mianyang, Yaan and Meishan; South Sichuan includes cities of Yibin, Zigong, Neijiang and Luzhou; Northeast Sichuan includes cities of Bazhong, Nanchong, Dazhou, Guangyuan and Guangan; Panzhihua-Xichang region includes cities of Panzhihua and Liangshan; Northwest Sichuan includes cities of Aba ad Ganzi
  6. *P values < 0.05 were considered statistically significant