Predictive factors and model validation of post-colon polyp surgery Helicobacter pylori infection

Table 1 Baseline information for modeling and validation cohorts

Sports event		Total population (n = 80)	Modeling queues (n = 56)	Validation queue (n = 24)
Gender [n (%)]	Male	42 (52.50)	30 (53.57)	12 (50.00)
	Female	38 (47.50)	26 (46.43)	12 (50.00)
Age (yr, mean ± SD)		36.15 ± 11.79	36.67 ± 10.00	35.92 ± 13.58
BMI [n (%)]		22.42 ± 3.44	22.20 ± 2.32	22.64 ± 4.55
Movement [n (%)]	< 1 h/wk	38 (47.50)	27 (48.21)	11 (45.83)
	≥ 1 h/wk	42 (52.50)	29 (51.79)	13 (54.17)
Literacy [n (%)]	Primary and below	30 (37.50)	20 (35.71)	10 (41.67)
	Junior high school and secondary school	29 (36.25)	21 (37.50)	8 (33.33)
	Junior college or above	21 (26.25)	15 (26.79)	6 (25.00)
Smoking [n (%)]	Be	33 (41.25)	24 (42.86)	9 (37.50)
	Clogged	45 (56.25)	32 (57.14)	13 (54.17)
Alcohol consumption [n (%)]	Be	44 (55.00)	31 (55.36)	13 (54.17)
	Clogged	34 (42.50)	25 (44.64)	9 (37.50)
History of hypertension [n (%)]	Be	32 (40.00)	22 (39.29)	10 (41.67)
	Clogged	48 (60.00)	34 (60.71)	14 (58.33)
History of diabetes [n (%)]	Be	14 (17.50)	10 (17.86)	4 (16.67)
	Clogged	66 (82.50)	46 (82.14)	20 (83.33)
Number of polyps [n (%)]	An odd one	38 (47.50)	27 (48.21)	11 (45.83)
	Multi- (faceted, ethnic etc.)	42 (52.50)	29 (51.79)	13 (54.17)
Polyp size [n (%)]	< 1 cm	33 (41.25)	23 (41.07)	10 (41.67)
	≥ 1 cm	47 (58.75)	33 (58.93)	14 (58.33)
Polyp site [n (%)]	Proximal	27 (33.75)	19 (33.93)	8 (33.33)
	Far end	25 (31.25)	18 (32.14)	7 (29.17)
	Whole colon	28 (35.00)	19 (33.93)	9 (37.50)
Type of polyp pathology [n (%)]	Adenomatous polyp	35 (43.75)	24 (42.86)	11 (45.83)
	Non-adenomatous polyp	45 (56.25)	32 (57.14)	13 (54.17)
High-risk adenomas [n (%)]	Be	23 (28.75)	16 (28.57)	7 (29.17)
	Clogged	57 (71.25)	40 (71.43)	17 (70.83)
Heavy diet [n (%)]	Be	46 (57.50)	32 (57.14)	1 4 (58.33)
	Clogged	34 (42.50)	24 (42.86)	10 (41.67)

BMI: Body mass index.