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Table 1 Socio-demographic characteristics and lifestyle risk factors by sex and age group

From: Socio-demographic association of multiple modifiable lifestyle risk factors and their clustering in a representative urban population of adults: a cross-sectional study in Hangzhou, China

   Men (n = 977) Women (n = 1039)
  Total Age 18-29 Age 30-39 Age 40-49 Age 50-64 p-value Age 18-29 Age 30-39 Age 40-49 Age 50-64 p-value
  (n = 2016) (n = 150) (n = 219) (n = 304) (n = 304)   (n = 182) (n = 287) (n = 218) (n = 352)  
A. Socio-demographics
Education, n (%)
   Junior high school or below 510 (25.6) 3 (2.0) 14 (6.5) 74 (24.6) 136 (44.9) <0.001 7 (3.9) 28 (9.9) 47 (21.9) 201 (57.4)* <0.001
   Senior high school 462 (23.2) 33 (22.4) 30 (13.9) 85 (28.2) 67 (22.1)   33 (18.4) 50 (17.6) 79 (36.7) 85 (24.3)  
   College/university or post-graduate degree 1023 (51.3) 111 (75.5) 172 (79.6) 142 (47.2) 100 (33.0)   139 (77.7) 206 (72.5) 89 (41.4) 64 (18.3)  
Marital status, n (%)
   Single 306 (15.3) 111 (74.0) 26 (12.0) 18 (6.0) 4 (1.3) <0.001 116 (63.7) 18 (6.3) 6 (2.8)* 7 (2.0) <0.001
   Married, consensual union 1600 (79.9) 39 (26.0) 189 (87.1) 268 (89.0) 277 (91.7)   65 (35.7) 262 (91.6) 189 (87.9) 311 (88.9)  
   Widowed, divorced, separated 97 (4.8) 0 (0.0) 2 (0.9) 15 (5.0) 21 (7.0)   1 (0.5) 6 (2.1) 20 (9.3) 32 (9.1)  
Type of work, n (%)            
   Office work, intellectual work, services, student 1253 (62.8) 125 (84.5) 173 (79.4) 212 (70.4) 123 (41.0) <0.001 163 (90.1)* 244 (86.2)* 158 (73.5)* 55 (15.8)* <0.001
   Farming, cattle-raising, forestry, industrial, mining, construction or other similar type of work 167 (8.4) 11 (7.4) 35 (16.1) 52 (17.3) 40 (13.3)   3 (1.7) 13 (4.6) 11 (5.1) 2 (0.6)  
   Do not work, pensioned 574 (28.8) 12 (8.1) 10 (4.6) 37 (12.3) 137 (45.7)   15 (8.3) 26 (9.2) 46 (21.4) 291 (83.6)  
Asset index, n(%)            
   Low 836 (41.8) 75 (50.3) 61 (28.1) 120 (39.7) 154 (51.3) <0.001 77 (42.5) 86 (30.0) 95 (44.0) 168 (48.3) <0.001
   Medium 766 (38.3) 59 (39.6) 90 (41.5) 123 (40.7) 94 (31.3)   77 (42.5) 112 (39.0) 74 (34.3) 137 (39.4)  
   High 398 (19.9) 15 (10.1) 66 (30.4) 59 (19.5) 52 (17.3)   27 (14.9) 89 (31.0) 47 (21.8) 43 (12.4)  
B. Lifestyle risk factors
Smoking, n (%)
   Never 1527 (75.7) 106 (70.7) 131 (59.8) 123 (40.5) 143 (47.0) <0.001 177 (97.3)* 284 (99.0)* 214 (98.2)* 349 (99.1)* Fisher's exact = 0.081
   Former 55 (2.7) 0 (0.0) 7 (3.2) 13 (4.3) 35 (11.5)   0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0)  
   Current (occasional) 29 (1.4) 4 (2.7) 8 (3.7) 9 (3.0) 5 (1.6)   0 (0.0) 1 (0.3) 0 (0.0) 2 (0.6)  
   Current (daily) 405 (20.1) 40 (26.7) 73 (33.3) 159 (52.3) 121 (39.8)   5 (2.7) 2 (0.7) 4 (1.8) 1 (0.3)  
Categorical PA levels, n (%)
   Low 616 (30.8) 38 (25.3) 84 (38.9) 117 (38.9) 69 (22.8) <0.001 76 (42.7)* 119 (41.6) 62 (28.6) 51 (14.6)* <0.001
   Moderate 1040 (52.0) 71 (47.3) 101 (46.8) 139 (46.2) 170 (56.1)   84 (47.2) 136 (47.6) 116 (53.5) 223 (63.7)  
   High 345 (17.2) 41 (27.3) 31 (14.4) 45 (15.0) 64 (21.1)   18 (10.1) 31 (10.8) 39 (18.0) 76 (21.7)  
Mean number of days of vegetable consumption in a typical week, median days (P25, P75)
  7 (7,7) 7 (6, 7) 7 (7, 7) 7 (7, 7) 7 (7, 7) 0.002a 7 (7, 7) 7 (7, 7) 7 (7, 7) 7 (7, 7) <0.001a
Consuming at least three servings of vegetables on the days eating vegetables, n (%)
   Yes 742 (37.3) 49 (32.9) 78 (35.9) 100 (33.2) 123 (40.9) 0.195 65 (36.1) 103 (37.1) 79 (36.4) 145 (41.9) 0.427
Mean number of days of fruit consumption in a typical week, median days (P25, P75)
  7 (4, 7) 5 (3, 7) 6 (3, 7) 5 (3, 7) 6 (3, 7) 0.559a 7 (4, 7)* 7 (5, 7)* 7 (5, 7)* 7 (5, 7)* 0.082a
Consuming at least two servings of fruit on the days eating fruit, n (%)
   Yes 1057 (54.3) 79 (54.9) 104 (49.1) 146 (50.0) 128 (44.3) 0.200 115 (64.2) 164 (59.0)* 125 (58.1) 196 (57.8)* 0.521
Times purchasing out in the previous week, median times (P25, P75)
  7 (1, 11) 11 (6, 15) 10 (6, 14) 8 (5, 12) 5 (0, 10) <0.001 10 (4, 14)* 7 (4, 12)* 6 (1, 10)* 1 (0, 5)* <0.001
  1. p-values representing age group comparison in each gender group. * There are statistically significant (P < 0.05) differences between men and women in each age group. a Chi-squared test with ties.