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Table 3 Socio-demographic characteristics of participants across quintiles categories of dietary pattern scores in Diqing, Yunnan, China (N = 3,5 s91)

From: Association between dietary patterns and hypertension among Han and multi-ethnic population in southwest China

Demographic characteristics

Grassland healthy

Tuber and meat

Fruit and vegetable

Q1

Q5

Q1

Q5

Q1

Q5

n (%)

n (%)

n (%)

n (%)

n (%)

n (%)

Sex

 Male

265 (37.2)

282 (39.3)

245 (34.2)

363 (50.4)***

236 (32.9)

312 (43.8)***

 Female

448 (62.8)

436 (60.7)

471 (65.8)

357 (49.6)

482 (67.1)

400 (56.2)

Age

 18–35

164 (23.0)

315 (43.9)***

213 (29.7)

239 (33.2)***

180 (25.1)

207 (29.1)***

 36–45

186 (26.1)

114 (15.9)

147 (20.5)

178 (24.7)

169 (23.5)

202 (28.4)

 46–55

148 (20.8)

124 (17.3)

117 (16.3)

159 (22.1)

137 (18.6)

139 (19.5)

 56-

215 (30.2)

165 (23.0)

239 (33.4)

144 (20.0)

232 (32.3)

164 (23.0)

Ethnicity

 Tibetan

238 (33.4)

223 (31.1)

203 (28.4)

332 (46.1)***

360 (50.1)

200 (28.1)***

 Lisu

94 (13.2)

171 (23.8)

114 (15.9)

115 (16.0)

109 (15.2)

84 (11.8)

 Naxi

230 (32.3)

128 (17.8)

182 (25.4)

155 (21.5)

135 (18.8)

219 (30.8)

 Han

98 (13.7)

142 (19.8)

154 (21.5)

74 (10.3)

71 (9.9)

137 (19.2)

 Other

53 (7.4)

54 (7.5)

63 (8.8)

44 (6.1)

43 (6.0)

72 (10.1)

Education

 < Middle school

515 (72.2)

308 (42.9)***

462 (64.5)

420 (58.3)

504 (70.2)

434 (61.0)**

 Middle school

131 (18.4)

313 (43.6)

182 (24.5)

231 (32.1)

150 (20.9)

204 (28.7)

 > Middle school

67 (9.4)

97 (13.5)

72 (10.1)

69 (9.6)

64 (8.9)

74 (10.4)

  1. n: number of participants in each quintile. Q1: 1st quintile. Q5: 5th quintile. Chi-square tests were used determine if there were any significant differences between the 1st quintile and 5th quintile of each dietary pattern score regards to participants’ demographic characteristics. **p for trend < 0.01, ***p for trend < 0.001