Table 1.
Not attended n= 69 |
Attended n = 180 |
p-value2 | |
---|---|---|---|
Age (%) | 0.20 | ||
25 year-old | 9% | 1% | |
30 year-old | 10% | 6% | |
35 year-old | 13% | 4% | |
40 year-old | 6% | 8% | |
45 year-old | 3% | 13% | |
50 year-old | 7% | 20% | |
55 year-old | 20% | 16% | |
60 year-old | 32% | 32% | |
total | 100% | 100% | |
Currently married (%) | 77% | 87% | 0.04 |
Parous (%)1 | 84% | 92% | 0.08 |
Employed either full-time or part-time (%)1 | 53% | 70% | 0.01 |
Education, 15 years or longer (%)1 | 10% | 16% | 0.25 |
Smoking status (%)1 | 0.003 | ||
Never smokers | 72% | 88% | |
Past smokers | 9% | 7% | |
Current smokers | 19% | 5% | |
BMI kg/m2, median1 | 0.48 | ||
Physical activity, metabolic equivalent (h/week), median | 7.5 | 15 | 0.03 |
Alcohol intake (g), median1 | 0 | 0.4 | 0.83 |
Only individuals whose information is available are included. Parity: n = 248. Employment status: n = 246. Education: n = 245. Smoking status: n=244, BMI: n = 246. Alcohol intake: n = 234
Comparison between women who attended and women who did not attended at cervical cancer screening within two years. Non-parametric test (Kruskal wallis) for analyzing age, BMI, physical activity and alcohol intake, and chi-square test for analyzing other variables.