Table 1 Breast cancer risk predictive model with odds ratios and 95% confidence intervals.

From: Identifying breast cancer risk factors and evaluating biennial mammography screening efficacy using big data analysis in Taiwan

Risk factor

OR

Lower bound of 95%CI

Upper bound of 95% CI

Standard error

P-value

FAM_CANCER

1.462

1.401

1.525

0.0216

< 0.0001

FAM_SIS

1.058

1.024

1.093

0.0165

0.0007

FAM_GMA1

0.746

0.613

0.907

0.0999

0.0033

FAM_GMA2

0.773

0.643

0.929

0.0936

0.006

MC_END

0.935

0.908

0.963

0.0151

< 0.0001

FER_TIME

0.92

0.911

0.929

0.00491

< 0.0001

FER_FEEDING

0.908

0.888

0.929

0.0116

< 0.0001

MED_HYEAR

1.006

1.003

1.01

0.00191

0.0009

SYM

3.843

3.747

3.943

0.013

< 0.0001

ULTRA

0.899

0.839

0.962

0.0349

0.0022

O_TWO

1.226

1.151

1.306

0.0322

< 0.0001

O_SUR

1.044

1.002

1.088

0.021

0.0401

EDU

1.04

1.029

1.051

0.00529

< 0.0001

COMPARE

0.775

0.751

0.799

0.0157

< 0.0001

PDATA

1.096

1.08

1.112

0.00741

< 0.0001

AGE_M

1.031

1.029

1.033

0.00106

< 0.0001

M_TIMES

0.673

0.661

0.684

0.00883

< 0.0001

CAR

0.587

0.573

0.602

0.0127

< 0.0001

  1. (OR: odds ratio, CI: confidence interval, FAM_CANCER: family history of cancer, FAM_SIS: number of affected sisters, FAM_GMA1: grandmother breast cancer, FAM_GMA2: maternal grandmother breast cancer, MC_END: menopausal status, FER_TIMES: fertility times, FER_FEEDING: breast feeding, MED_HYEAR: years of hormone replacement, SYM: breast symptom, ULTRA: sonography within two years, O_TWO: breast examinations within two years, O_SUR: previous breast surgery, EDU: educational level, COMPARE: compared with previous mammography, PDATA: breast density, AGE_M: age of mammography, M_TIMES: screening mammography times, CAR: served with a mobile mammography unit)
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