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. 2006 Mar 21;12(11):1686–1693. doi: 10.3748/wjg.v12.i11.1686

Table 1.

Characteristics among EC cases and controls in Dafeng and Ganyu 1 n (%)

Characteristics Dafeng (high-risk) Ganyu (low-risk) P value2
Case (n=291) Control (n=291) Control (n=240) Case (n=240)
Gender: Male 200 (68.7) 200 (68.7) 181 (75.4) 181 (75.4) 0.088
Female 91 (31.3) 91 (31.3) 59 (24.6) 59 (24.6)
Age (yr) Mean±SD 64.8 ± 8.6 64.6 ± 8.9 65.4 ± 10.3 65.6 ± 10.4 0.002
<50 14 (4.8) 17 (5.8 ) 19 (7.9) 17 (7.1)
50-59 61 (30.0) 59 (20.3) 48 (20.0) 51 (21.3)
60-69 137(47.1) 137 (47.1) 78 (32.5) 76 (31.7)
70-79 71 (24.4) 69 (23.7) 77 (32.1) 78 (32.5)
≥80 8 (2.8) 9 (3.1) 18 (7.5) 18 (7.5)
Level of education
Illiterate 156 (53.6) 130 (44.7) 138 (57.7) 164 (68.6) <0.001
Primary school 95 (32.7) 119 (40.9) 63 (26.4) 54 (22.6)
Secondary school & above 40 (13.7) 42 (14.4) 38 (15.9) 21 (8.8 )
Past economic status(By separate cut-off points)
Median (CNY/yr) 1250 1500 1000 775 0.235
1 (lowest) 97 (33.5) 55 (19.0) 38 (16.2) 47 (20.3)
2 68 (23.5) 64 (22.1) 71 (30.2) 87 (37.5)
3 73 (25.2) 96 (33.1) 71 (30.2) 59 (25.4)
4 (highest) 52 (17.9) 75 (25.9) 55 (23.4) 39 (16.8)
Smoking status3
Neversmoker 92 (31.6) 122 (41.9) 95 (39.6) 82 (34.2) 0.067
Former-smoker 71 (24.4) 64 (22.0) 19 (7.9) 17 (7.1)
Current smoker 128 (44.0) 105 (36.1) 126 (52.5) 141 (58.7)
Alcohol drinking status4
Never drinker 175 (60.1) 181 (62.2) 143 (59.6) 131 (54.6) 0.076
Former drinker 5 (1.7) 7 (2.4) 7 (2.9) 7 (2.9)
Current drinker 111 (38.1) 103 (35.4) 90 (37.5) 102 (42.5)
Encountered misfortune in past10 yr:
No 54 (18.6) 41 (14.2) 33 (14.0) 54 (23.3) 0.008
Yes 237 (81.4) 248 (85.8) 203 (86.0) 178 (76.7)
History of family cancer
No 112 (38.5) 86 (29.6) 16 (6.7) 29 (12.1) <0.001
Yes 179 (61.5) 205 (70.5) 224 (93.3) 211 (87.9)
Body mass index
<18.5 60 (20.8) 27 (9.3) 18 (7.6) 31 (13.4) 0.014
18.5-23.9 182 (63.0) 192 (66.2) 161 (67.9) 155 (67.1)
23.9-27.9 34 (11.8) 60 (20.7 ) 46 (19.4) 28 (12.1)
≥28 13 (4.5) 11 (3.8) 12 (5.1) 17 (7.4)

1 Some strata do not match the total because of missing values;

2

The P-value for comparing the distribution of factors between the two counties;

3

Never-smokers and ever-smokers were used for comparing the smoking habits between the two counties;

4

Because of the few numbers of former drinkers in both two counties, alcohol drinking status was categorized to never-drinkers and ever-drinkers for the comparison between the two counties and following analyses.