Table 4.
Author/model | Study design | Participants | Ethnicity | Outcome | Statistical method | Effect estimates | Sample size | Risk factors considered in the models | Age target | Stratification |
---|---|---|---|---|---|---|---|---|---|---|
Gail [37] | Case–control | White American females from the Breast Cancer Detection Demonstration Project (BCDDP) | American–Caucasian | Invasive breast cancer + in situ carcinoma | unconditional logistic regression | Relative risk | 2,852 cases 3,146 controls |
Age at menarche, age at first live birth, number of previous biopsies, and number of first-degree relatives with breast cancer | Any age | None |
Rosner [42] | Cohort | Registered nurses | American–Caucasian | Invasive breast cancer | Poisson regression | Cumulative incidence | 2,341 cases, 91,523 controls | Age, age at all births, menopause age, menarche age | 30–55 years | Number of births |
Rosner [25] | Cohort | Registered nurses | American–Caucasian | Invasive breast cancer | Poisson regression | Relative risk | 2,249 cases, 89,132 controls | Menarche age, first live birth age, subsequent births age, menopause age | Any age | None |
Colditz [50] | Cohort | General women | American–Caucasian | Invasive breast cancer | Poisson regression | Cumulative incidence | 1,761cases 56,759 controls |
Benign breast disease, use of HRT, weight, height, menopausal type, and alcohol intake | Women aged 30–55 years | None |
Ueda [38] | Case–control | General women | Japanese–Asian | Invasive breast cancer | Conditional logistic regression | Relative risk | 376 cases 430 controls |
Menarche, first birth age, family history, and BMI in post-menopausal women | Any age | Menopausal status |
Boyle [39] | Case–control | General women | Italian–Caucasian | Invasive breast cancer | Conditional logistic regression | Absolute + relative risk | 2,569 cases 2,588 controls |
Menarche age, first birth age, alcohol intake, family history, age of diagnosis in relatives, and one of the two diet scores. BMI and HRT were included only for women older > 50 | 23–74 years (cases) 20–74 years (controls) |
Age (< 50 and > 50) |
Lee [36] | Case–control | 1-General women 2-Well educated (nurse/teacher) |
Korean–Asian | Invasive breast cancer | Hosmer–Lemeshow goodness of fit | Probability | 384 cases 270 controls |
With hospitalized controls: family history, menstrual regularity, total menstrual duration, first full-term pregnancy age, breastfeeding duration while with nurse/teacher controls: age, menstrual regularity, drinking status, smoking status | Age at least 20 years | None |
Novotny [24] | Case–control | General women | Czeck females–Caucasian | Invasive breast cancer | Unconditional Logistic regression | Relative risk | 4,598 matched pairs | Age at birth of first child, family history of breast cancer, No. of previous breast biopsy, menarche age, parity, history of benign breast disease | Age matched | None |
Gail [32] | Case–control | General women | African American | Invasive breast cancer | Conditional logistic regression | Absolute + relative risk | 1,607cases 1,647 controls |
Menarche age, No. of affected mother or sisters, No. of benign biopsy | 35–64 years | Age (< 50 and > 50) |
Matsuno [51] | Case–control | General women | Asian and Pacific Islander American | Invasive breast cancer | Conditional logistic regression | Absolute + relative + attributable risks |
589 cases 952 controls |
Menarche age, age at first live birth, No. of biopsies, family history, ethnicity | Any age | Ethnicity |
Banegas [40] | Longitudinal study | General women | Hispanic | Invasive breast cancer | Cox proportional hazards regression | Relative risk | 6,353 cases 128,976 controls |
Age, age at first live birth, menarche age, No. of first-degree relatives with breast cancer, No. of breast biopsies | Post-menopausal participants aged ≥ 50 | None |
Pfeiffer [31] | Prospective study | White over 50 years old | White and non-Hispanic Caucasian | Invasive breast cancer | Cox proportional hazards regression | Relative and attributable risks | 7,695 cases 240,712 controls |
BMI, oestrogen and progestin MHT use, other MHT use, parity, age at first birth, pre-menopausal, age at menopause, benign breast diseases, family history of breast or ovarian cancer, and alcohol consumption | 50 and above | None |
Park [23] | Case–control | General women | Korean–Asian | Invasive breast cancer | Unconditional Logistic regression | Absolute risk | 3,789 cases 3,789 controls |
Family history, menarche age, menopausal status, menopause age, pregnancy, first full-term pregnancy age, No. of pregnancies, breastfeeding duration, OC usage, HRT, exercise, BMI, smoking, drinking, No. of breast examinations | Any age | Age (< 50 and > 50) |
Lee [33] | Case–control | General women | Asian | Invasive breast cancer | Conditional logistic regression | 2,291 cases and 2,283 controls | First full-term pregnancy age, children No., menarche age, BMI, family history, menopausal status, regular mammography, exercises, oestrogen exposure duration, gestation period, menopause age | Any age | Age (< 50 and > 50) |