Background: Carcinogenic exposure in early life may be critical for subsequent breast cancer risk. Dairy consumption was examined during adolescence and early adulthood in relation to incident breast cancer in the Nurses' Health Study II cohort.

Methods: For the analyses of early adulthood dairy consumption, we included 90,503 premenopausal women ages 27 to 44 years in 1991 who reported dairy consumption using a validated food-frequency questionnaire. From 1991 to 2013, 3,191 invasive breast cancer cases were identified. In 1998, 44,264 women recalled adolescent dairy consumption. This subgroup of women was followed up from 1998 to 2013; 1,318 invasive breast cancer cases were identified. Multivariate hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the Cox proportional hazard regression.

Results: Adolescent and early adulthood total dairy consumption was not associated with overall breast cancer risk (each serving/day during adolescence, total dairy HR = 1.02, 95% CI, 0.97–1.07; for early adulthood total dairy HR = 1.01, 95% CI, 0.97–1.04), as were intakes of calcium, vitamin D, and lactose. Adolescent consumption of total and high-fat dairy was associated with higher risk of estrogen and progesterone receptor negative (each serving/day: total dairy HR = 1.11, 95% CI, 1.00–1.24; high-fat dairy HR = 1.17, 95% CI, 1.04–1.31). However, higher adolescent high-fat dairy consumption was associated with lower risk of estrogen and progesterone receptor positive tumors (each serving/day HR = 0.91, 95% CI, 0.86–0.97).

Conclusions: Our results suggest no overall association between dairy consumption during adolescence or early adulthood and breast cancer risk, but the findings may differ by hormone receptor status of tumors.

Impact: Dairy consumption in adolescence or early adulthood may not be a significant predictor of breast cancer incidence. Cancer Epidemiol Biomarkers Prev; 27(5); 575–84. ©2018 AACR.

Breast cancer remains the most common type of cancer in women. During 2016, 246,660 new cases of invasive breast cancer were estimated, with 40,450 breast cancer deaths in the U.S. women (1). Among numerous dietary components that have been related to breast cancer, dairy products have been hypothesized to play a role by increasing hormone levels such as estrogen and insulin-like growth factors (2–5). However, epidemiologic studies assessing dairy intake and breast cancer risk have been inconsistent (6–23), reporting no (6–15), higher (16, 17), or even lower (18–23) breast cancer risk. Moreover, the findings vary across dairy products (6–10, 12–16, 18, 20–23). A meta-analysis of prospective cohort studies found an inverse association between total dairy intake and breast cancer risk (24). Notably, almost all of these studies used dietary assessments during mid-life and later, with little focus on diet earlier in life (9, 12). In early life, carcinogenic exposure may be critical for subsequent breast cancer risk. For example, the atomic bombings of Hiroshima and Nagasaki and radiotherapy for Hodgkin lymphoma demonstrated evidence for early life exposure and subsequent risk of breast cancer. In both cases, exposure to radiation in childhood and early adult life was associated with risk of breast cancer, whereas exposure after age 30 had little effect when observed among women exposed to ionizing radiation (25–27). Moreover, our studies using data from the Nurses' Health Study II (NHSII) indicated that a high red meat intake during adolescence and early adulthood was more strongly associated with breast cancer risk than in later life (28, 29). We also found a stronger inverse association with adolescent fruit intake as well as adolescent and early adulthood fiber intake with breast cancer risk, compared with consumption later in life (30, 31). In a previous analysis of the NHSII (12, 17), whereas dairy intake during adolescence was not significantly associated with subsequent breast cancer risk (12), premenopausal high-fat dairy intake was associated with higher risk of breast cancer (17). It is, however, not clear whether this increased risk was due to dietary assessment at early age or the relatively young age of women at diagnosis of breast cancer.

Dairy products are a diverse food group that consists of several nutrients potentially influencing breast cancer risk. Calcium and vitamin D components in dairy products may have anticarcinogenic activities (32). However, in most prospective studies, the association between intake of calcium or vitamin D and risk of breast cancer is inconsistent (19, 22, 33–38), lacking data from early adult life. Other components of dairy products such as lactose might also be responsible for the associations between dairy and breast cancer risk. Although a few studies have suggested that lactose intake is associated with an increased risk of ovarian cancer (39, 40), little is known about the relationship with breast cancer (22, 41, 42). To date, the relationship between early life lactose intake and breast cancer has yet to be investigated.

Furthermore, breast cancer is a heterogeneous disease and breast tumors vary by estrogen and progesterone receptor status. Therefore, the relation between dairy foods and breast cancer may differ by hormone receptor status (14, 19, 23).

Therefore, based on our previous analyses (12, 17), but with longer follow-up and a larger number of cases, the associations between consumption of adolescent and early adulthood dairy products and breast cancer were examined. We also evaluated the association between vitamin D, calcium, and lactose intake with breast cancer incidence. The associations between dairy consumption and breast cancer were also examined by menopausal and hormone receptor status.

Study population

The NHSII was established in 1989 with a total enrollment of 116,429 female registered nurses ages 25 to 42 years. From baseline enrollment, the participants have been followed up every two years to update lifestyle and medical information. In 1991, women reported dietary intake through a semi-quantitative food-frequency questionnaire (FFQ). Among the 97,813 women who returned the FFQ, we included the participants who were premenopausal in 1991 and had total energy intake between 600 and 3500 kcal/day. We excluded the participants who had missing information on age, or had left more than 70 food items blank, or had left all items on dairy foods blank, or had prevalent cancer (except nonmelanoma skin cancer) in 1991 or before, leaving a total population of 90,503 women for early adulthood diet analysis. The follow-up rate was 96% of total potential person-years from 1991 through 2013.

In 1997, women were asked if they would complete a supplemental FFQ about diet during high school (HS-FFQ; 13–18 years). Among the 47,355 women who returned the HS-FFQ in 1998, women were excluded if they were diagnosed with cancer (except nonmelanoma skin cancer) before 1998, or had total energy intake under 600 or over 5,000 kcal/day, or left more than 70 food items blank, or left all items on dairy foods blank, leaving a total population of 44,264 women for adolescent diet analysis. Among women who provided data on adult diet, there were minimal differences in baseline demographic characteristics and breast cancer rate between those who completed the HS-FFQ compared with those who did not (12). The follow-up rate was 98% of total potential person-years from 1998 through 2013.

This analysis was approved by the Human Subjects Committee at Brigham and Women's Hospital and the Harvard T.H. Chan School of Public Health (Boston, MA). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Dietary assessment

Usual dietary habits from the past year were evaluated in 1991 and every four years thereafter by validated semi-quantitative FFQs with approximately 130 food items (available at http://www.nurseshealthstudy.org/participants/questionnaires). Women reported the frequency of dairy consumption in nine possible responses ranging from “never or less than once per month” to “6 or more times per day” (Supplementary Table S1). The validity of the adult dietary questionnaire used in the NHSII has been extensively documented (43).

Administered in 1998, the adolescent diet was ascertained from the HS-FFQ with 124 food items. Women reported the foods typically consumed between 1960 and 1980 when participants attended high school (Supplementary Table S2). For validity, of the 47,355 women who completed the HS-FFQ, the mothers of 272 of these women also completed the HS-FFQ for diet comparison. The mean Pearson correlation for nutrients was 0.40 (range, 0.13–0.59; ref. 44). The validity was also evaluated by comparing the responses of 80 women in high school from another study, using three, 24-hour recalls and two HS-FFQs with the same HS-FFQ administered 10 years later. The mean of corrected correlation coefficients for energy-adjusted nutrient intake was 0.58 (range, 0.40–0.88) calculated using the average of two HS-FFQs and the HS-FFQ from 10 years later, and 0.45 (range, 0.16–0.68) calculated using the average of three, 24-hour recalls and the HS-FFQ (10 years later; ref. 45).

Nutrient values in foods were obtained from the United States Department of Agriculture, food manufacturers, and independent academic sources (46–48). The food composition database was updated every 4 years to account for changes in the food supply. The intake of calcium, vitamin D, and lactose was energy-adjusted using the residuals from the regression of nutrient intake on total energy intake (49).

Assessment of breast cancer cases

In biennial questionnaires, participants reported the diagnosis of breast cancer and the date of diagnosis. When a case of breast cancer was identified, we obtained the medical records and pathology reports to confirm the breast cancer diagnosis. Because of the high accuracy of self-reporting (99%), diagnoses with unavailable medical records (n = 384) were included in the analysis. Estrogen and progesterone receptor status of tumors was extracted from medical records. Deaths were identified by family members, the postal service, or the National Death Index.

Assessment of covariates

At baseline enrollment and every 2 years thereafter, we inquired about potential risk factors for breast cancer, including age, weight, smoking, history of benign breast disease, family history of breast cancer, menopausal status, menopausal hormone use, and oral contraceptive use. Information on race, age at menarche, weight at age 18, adult height, and adolescent alcohol consumption was obtained from the 1989 questionnaire. Women were considered postmenopausal if they reported natural menopause or had undergone bilateral oophorectomy. We defined women of unknown menopausal status or who had hysterectomy without bilateral oophorectomy as premenopausal if they were under 46 years and smokers, or under 48 years and nonsmokers; and as postmenopausal if they were 54 years or older and smokers, or 56 years or older and nonsmokers (50).

Statistical analysis

Dairy intake reported in the baseline FFQ (1991) was considered as early adulthood dietary intake (27–44 years). To evaluate early adulthood diet and breast cancer, we computed person-years of follow-up for each participant from the date of return of the 1991 questionnaire until the date of any cancer diagnosis except nonmelanoma skin cancer, death from any cause, or the end of follow-up (June 1, 2013), whichever came first. For adolescent dairy consumption, similarly, person-years were calculated except that follow-up began with return of the adolescent diet questionnaire in 1998. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer associated with dairy product, calcium, vitamin D, and lactose consumption. Participants were divided into quintiles according to food groups. Adolescent and adult intake of ice cream and adult intake of yogurt and cream were divided into tertiles. As teenagers, 74% of the women did not consume yogurt, and less than 2% consumed five or more servings/week. The adolescent yogurt intake was divided into two categories: women who reported “never or <1 serving/month” or “1 serving/month or more.” We examined quintiles of dairy consumption to allow for nonlinearity and modeled the median value in each quintile as a continuous term to test for linear trend. For yogurt, ice cream, and cream, we used the median value in each tertile as a continuous term to test for linear trend. All regression models were stratified by age in months and calendar year of the current questionnaire cycle. Multivariable models were also simultaneously adjusted for history of breast cancer in mother or sisters, history of benign breast disease, smoking, height, body mass index (BMI) at age 18, weight change since age 18, age at menarche, parity and age at first birth, oral contraceptive use, menopausal status, menopausal hormone use, age at menopause, physical activity, alcohol consumption, and energy intake. For adolescent dairy consumption and breast cancer risk, we further included adolescent intake of alcohol and energy, rather than early adulthood energy intake in the multivariable models. To better represent long-term diet and minimize the effect of random measurement errors by using repeated dietary assessments, we calculated the premenopausal cumulative average of dietary intake from our repeated FFQs in 1991, 1995, 1999, 2003, 2007, and 2011, terminating the update of dietary information when a woman reached menopause. In addition, the average of adolescent and early adulthood (1991) dairy consumption was calculated among participants with information from these two periods.

To address whether the observed associations were independent of other dietary factors, we controlled for the Alternate Healthy Eating Index (AHEI; ref. 51), total red meat, fruit and vegetable, or animal fat intake. To determine whether associations with adolescent intake were independent of adulthood dietary intake, we adjusted for dietary intake during adult life (cumulative average of dietary intake). To address whether the associations between dairy consumption during adolescence or early adulthood and breast cancer risk were modified by age and BMI at age 18, a cross-product term of the ordinal score was included in the multivariable model. The tests for interactions were obtained from a likelihood ratio test. We used the Cox proportional cause-specific hazards regression model with a duplication method for competing risk data to calculate the HR of tumor subtypes, including both estrogen and progesterone receptors positive (ER+/PR), both estrogen and progesterone receptors negative (ER/PR), and estrogen receptor positive and progesterone receptor negative (ER+/PR; ref. 52). Because estrogen receptor negative and progesterone receptor positive (ER/PR+) is not a reproducible breast cancer subtype (53), we did not evaluate the association between dairy food intake and this subtype of breast cancer. The association between adolescent dairy intake and adult height was evaluated using regression models adjusted for age, race, and adolescent consumption of total red meat, and total fruits and vegetables. All P values were two-sided. SAS version 9.3 (SAS Institute, Inc.) was used for all analyses.

Among women with early adulthood dietary intake, 3,191 cases of invasive breast cancer were identified from 1991 through 2013. Among women with adolescent dietary intake, we documented 1,318 cases of invasive breast cancer from 1998 through 2013. In early adulthood, higher total dairy consumption was associated with a lower prevalence of smoking, using oral contraceptives, and nulliparity, higher consumption of animal fat, red meat, fruits, and vegetables, and lower consumption of fiber (Table 1). Women with higher adolescent total dairy consumption were less likely to smoke, to be nulliparous, and to consume fiber, and more likely to consume animal fat, red meat, fruits, and vegetables (Supplementary Table S3). Also, women who consumed an average of 5.4 servings/day of total dairy products during adolescence were 1.7 cm taller than those who consumed an average of 1.0 serving/day (Supplementary Table S3). Moreover, in regression analysis, milk consumption during teenage years was significantly associated with attained height after adjusting for age, race, adolescent consumption of total red meat, and total fruits and vegetables; women were 0.41 cm taller on average for each additional serving/day of milk (P < 0.0001).

Table 1.

Age and age-standardized characteristics in 1991 according to intake of total dairy products during early adulthood among women enrolled in the Nurses' Health Study II

Total dairy products, quintile
12345
Number18,09418,04518,24618,01618,102
Mean ± SD 
 Age, years 37.1 ± 4.6 36.7 ± 4.6 36.5 ± 4.7 36.3 ± 4.6 35.7 ± 4.6 
 Total dairy products intake, serving/day 0.7 ± 0.3 1.3 ± 0.2 1.9 ± 0.2 2.9 ± 0.3 4.5 ± 1.2 
 Low-fat dairy intake, serving/day 0.3 ± 0.2 0.8 ± 0.4 1.1 ± 0.4 1.9 ± 0.8 2.7 ± 1.3 
 High-fat dairy intake, serving/day 0.4 ± 0.2 0.6 ± 0.4 0.9 ± 0.4 1.0 ± 0.8 1.8 ± 1.5 
 Total energy intake, kcal 1443 ± 477 1611 ± 468 1798 ± 471 1920 ± 496 2183 ± 513 
 Total fiber intake, g/day 18.6 ± 6.3 18.6 ± 5.5 18.6 ± 5.2 18.1 ± 5.4 17.4 ± 4.9 
 Animal fat intake, % energy 16.4 ± 5.1 17.0 ± 4.5 17.5 ± 4.2 17.7 ± 4.3 18.9 ± 4.6 
 Total red meat intake, serving/day 0.7 ± 0.5 0.8 ± 0.5 0.8 ± 0.5 0.8 ± 0.6 0.9 ± 0.6 
 Total fruit intake, serving/day 0.8 ± 0.8 0.9 ± 0.8 1.1 ± 0.8 1.2 ± 0.9 1.3 ± 1.0 
 Total vegetable intake, serving/day 2.4 ± 1.6 2.5 ± 1.5 2.8 ± 1.6 2.9 ± 1.7 3.1 ± 1.7 
 Adult BMI, kg/m2 24.5 ± 5.4 24.6 ± 5.3 24.6 ± 5.4 24.6 ± 5.3 24.6 ± 5.2 
 Height, cm 164.2 ± 6.6 164.5 ± 6.6 164.9 ± 6.6 165.1 ± 6.6 165.4 ± 6.6 
 BMI at age 18, kg/m2 21.2 ± 3.4 21.3 ± 3.3 21.4 ± 3.4 21.3 ± 3.3 21.2 ± 3.2 
 Age at first birth, years 25.4 ± 4.1 25.5 ± 4.0 25.8 ± 4.1 26.1 ± 4.1 26.5 ± 4.3 
 Age at menarche, years 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 
% 
 Alcohol intake      
 Never 46 41 39 43 43 
 <5 g/day 36 40 41 39 39 
 ≥5 g/day 18 19 20 18 18 
 Current smokers 15 13 11 10 11 
 Ever oral contraceptive use 85 85 85 84 83 
 History of benign breast disease 10 10 
 Family history of breast cancer in mother or sisters 15 15 16 15 15 
 Nulliparous 31 29 27 25 22 
Total dairy products, quintile
12345
Number18,09418,04518,24618,01618,102
Mean ± SD 
 Age, years 37.1 ± 4.6 36.7 ± 4.6 36.5 ± 4.7 36.3 ± 4.6 35.7 ± 4.6 
 Total dairy products intake, serving/day 0.7 ± 0.3 1.3 ± 0.2 1.9 ± 0.2 2.9 ± 0.3 4.5 ± 1.2 
 Low-fat dairy intake, serving/day 0.3 ± 0.2 0.8 ± 0.4 1.1 ± 0.4 1.9 ± 0.8 2.7 ± 1.3 
 High-fat dairy intake, serving/day 0.4 ± 0.2 0.6 ± 0.4 0.9 ± 0.4 1.0 ± 0.8 1.8 ± 1.5 
 Total energy intake, kcal 1443 ± 477 1611 ± 468 1798 ± 471 1920 ± 496 2183 ± 513 
 Total fiber intake, g/day 18.6 ± 6.3 18.6 ± 5.5 18.6 ± 5.2 18.1 ± 5.4 17.4 ± 4.9 
 Animal fat intake, % energy 16.4 ± 5.1 17.0 ± 4.5 17.5 ± 4.2 17.7 ± 4.3 18.9 ± 4.6 
 Total red meat intake, serving/day 0.7 ± 0.5 0.8 ± 0.5 0.8 ± 0.5 0.8 ± 0.6 0.9 ± 0.6 
 Total fruit intake, serving/day 0.8 ± 0.8 0.9 ± 0.8 1.1 ± 0.8 1.2 ± 0.9 1.3 ± 1.0 
 Total vegetable intake, serving/day 2.4 ± 1.6 2.5 ± 1.5 2.8 ± 1.6 2.9 ± 1.7 3.1 ± 1.7 
 Adult BMI, kg/m2 24.5 ± 5.4 24.6 ± 5.3 24.6 ± 5.4 24.6 ± 5.3 24.6 ± 5.2 
 Height, cm 164.2 ± 6.6 164.5 ± 6.6 164.9 ± 6.6 165.1 ± 6.6 165.4 ± 6.6 
 BMI at age 18, kg/m2 21.2 ± 3.4 21.3 ± 3.3 21.4 ± 3.4 21.3 ± 3.3 21.2 ± 3.2 
 Age at first birth, years 25.4 ± 4.1 25.5 ± 4.0 25.8 ± 4.1 26.1 ± 4.1 26.5 ± 4.3 
 Age at menarche, years 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 12.4 ± 1.4 
% 
 Alcohol intake      
 Never 46 41 39 43 43 
 <5 g/day 36 40 41 39 39 
 ≥5 g/day 18 19 20 18 18 
 Current smokers 15 13 11 10 11 
 Ever oral contraceptive use 85 85 85 84 83 
 History of benign breast disease 10 10 
 Family history of breast cancer in mother or sisters 15 15 16 15 15 
 Nulliparous 31 29 27 25 22 

Adolescent dairy consumption and breast cancer risk

Adolescent total dairy consumption was not associated with overall breast cancer risk [HR (highest vs. lowest) = 1.08, 95% CI, 0.88–1.33; Ptrend = 0.46] nor with premenopausal or postmenopausal breast cancer (Table 2). No significant associations were noticed between breast cancer risk and adolescent intake of low-fat/high-fat dairy products, milk, cheese, ice cream, or yogurt (Table 2; Supplementary Table S4). Results were similar after additional adjustment for adolescent red meat, fruit and vegetable, fiber, or animal fat intake or for adult total dairy intake.

Table 2.

HRs and 95% CI for breast cancer according to quintile of adolescent dairy product intake

Quintile of intake
12345PtrendaPer 1 serving/day
Adolescent total dairy products intake 
 All cases 
  Median intake, serving/day 1.1 2.0 2.9 3.8 5.1   
  No. of cases/person-years 255/134,666 262/135,121 258/133,447 276/134,883 267/135,002   
  Age-adjusted HR (95% CI) 1.05 (0.88–1.25) 1.03 (0.87–1.23) 1.09 (0.91–1.29) 1.08 (0.91–1.28) 0.37 1.02 (0.98–1.06) 
  Multivariable HR (95% CI) 1.07 (0.89–1.28) 1.04 (0.86–1.24) 1.10 (0.91–1.32) 1.08 (0.88–1.33) 0.46 1.02 (0.97–1.07) 
 Premenopausal cases 
  Median intake, serving/day 1.1 2.0 3.0 3.8 5.1   
  No. of cases/person-years 105/69,702 116/69,226 119/70,157 121/69,456 110/69,464   
  Age-adjusted HR (95% CI) 1.14 (0.87–1.49) 1.09 (0.83–1.42) 1.12 (0.86–1.45) 1.04 (0.79–1.36) 0.91 1.00 (0.95–1.07) 
  Multivariable HR (95% CI) 1.20 (0.91–1.59) 1.16 (0.88–1.54) 1.23 (0.92–1.65) 1.14 (0.83–1.57) 0.52 1.02 (0.95–1.10) 
 Postmenopausal cases 
  Median intake, serving/day 1.1 1.9 2.9 3.7 5.0   
  No. of cases/person-years 119/53,684 125/53,640 107/53,130 133/53,463 131/53,347   
  Age-adjusted HR (95% CI) 1.08 (0.83–1.39) 0.91 (0.70–1.19) 1.12 (0.87–1.44) 1.14 (0.88–1.46) 0.31 1.03 (0.97–1.09) 
  Multivariable HR (95% CI) 1.03 (0.79–1.34) 0.88 (0.67–1.17) 1.08 (0.82–1.42) 1.14 (0.85–1.53) 0.36 1.03 (0.96–1.11) 
Adolescent low-fat dairy 
 All cases 
  Median intake, serving/day 0.07 0.3 0.8 2.6   
  No. of cases/person-years 184/87,906 420/200,430 229/116,769 247/134,092 238/133,922   
  Age-adjusted HR (95% CI) 1.02 (0.86–1.21) 0.98 (0.80–1.19) 0.97 (0.80–1.18) 0.99 (0.82–1.21) 0.87 1.00 (0.94–1.05) 
  Multivariable HR (95% CI) 1.02 (0.85–1.21) 0.98 (0.80–1.19) 0.99 (0.81–1.20) 1.00 (0.82–1.22) 0.96 1.00 (0.94–1.06) 
 Premenopausal cases        
  Median intake, serving/day 0.07 0.1 0.3 1.0 2.8   
  No. of cases/person-years 160/88,270 81/52,327 106/68,826 107/68,978 117/69,604   
  Age-adjusted HR (95% CI) 0.84 (0.64–1.10) 0.84 (0.66–1.08) 0.93 (0.72–1.19) 0.99 (0.78–1.27) 0.49 1.03 (0.95–1.12) 
  Multivariable HR (95% CI) 0.86 (0.65–1.12) 0.86 (0.67–1.11) 0.95 (0.74–1.22) 1.04 (0.80–1.34) 0.31 1.05 (0.96–1.14) 
 Postmenopausal cases 
  Median intake, serving/day 0.07 0.2 0.6 2.5   
  No. of cases/person-years 84/40,651 186/69,442 133/52,951 105/50,790 107/53,429   
  Age-adjusted HR (95% CI) 1.29 (0.99–1.67) 1.23 (0.93–1.62) 1.08 (0.81–1.44) 1.04 (0.78–1.39) 0.25 0.95 (0.87–1.04) 
  Multivariable HR (95% CI) 1.26 (0.97–1.64) 1.22 (0.92–1.62) 1.05 (0.78–1.42) 1.02 (0.76–1.38) 0.22 0.94 (0.86–1.04) 
Adolescent high-fat dairy 
 All cases 
  Median intake, serving/day 0.6 1.2 1.8 2.9 4.2   
  No. of cases/person-years 264/132,526 246/140,206 282/131,707 256/133,575 270/135,104   
  Age-adjusted HR (95% CI) 0.89 (0.74–1.05) 1.06 (0.89–1.25) 0.89 (0.75–1.06) 0.94 (0.79–1.12) 0.51 0.99 (0.95–1.03) 
  Multivariable HR (95% CI) 0.87 (0.73–1.04) 1.03 (0.87–1.23) 0.86 (0.71–1.03) 0.90 (0.74–1.09) 0.26 0.97 (0.93–1.02) 
 Premenopausal cases 
  Median intake, serving/day 0.6 1.1 1.7 2.8 4.1   
  No. of cases/person-years 118/70,774 102/68,152 127/70,316 117/69,419 107/69,345   
  Age-adjusted HR (95% CI) 0.89 (0.68–1.17) 1.04 (0.81–1.34) 0.94 (0.73–1.22) 0.85 (0.65–1.11) 0.29 0.97 (0.90–1.03) 
  Multivariable HR (95% CI) 0.90 (0.68–1.18) 1.05 (0.81–1.37) 0.94 (0.72–1.24) 0.86 (0.64–1.16) 0.37 0.97 (0.90–1.04) 
 Postmenopausal cases 
  Median intake, serving/day 0.6 1.2 1.9 3.1 4.3   
  No. of cases/person-years 125/53,031 108/53,805 136/53,295 112/53,295 134/53,837   
  Age-adjusted HR (95% CI) 0.88 (0.68–1.14) 1.08 (0.85–1.38) 0.87 (0.67–1.12) 1.03 (0.81–1.32) 0.85 1.01 (0.95–1.07) 
  Multivariable HR (95% CI) 0.86 (0.66–1.13) 1.05 (0.81–1.36) 0.82 (0.62–1.07) 1.01 (0.77–1.34) 0.93 1.00 (0.93–1.07) 
Quintile of intake
12345PtrendaPer 1 serving/day
Adolescent total dairy products intake 
 All cases 
  Median intake, serving/day 1.1 2.0 2.9 3.8 5.1   
  No. of cases/person-years 255/134,666 262/135,121 258/133,447 276/134,883 267/135,002   
  Age-adjusted HR (95% CI) 1.05 (0.88–1.25) 1.03 (0.87–1.23) 1.09 (0.91–1.29) 1.08 (0.91–1.28) 0.37 1.02 (0.98–1.06) 
  Multivariable HR (95% CI) 1.07 (0.89–1.28) 1.04 (0.86–1.24) 1.10 (0.91–1.32) 1.08 (0.88–1.33) 0.46 1.02 (0.97–1.07) 
 Premenopausal cases 
  Median intake, serving/day 1.1 2.0 3.0 3.8 5.1   
  No. of cases/person-years 105/69,702 116/69,226 119/70,157 121/69,456 110/69,464   
  Age-adjusted HR (95% CI) 1.14 (0.87–1.49) 1.09 (0.83–1.42) 1.12 (0.86–1.45) 1.04 (0.79–1.36) 0.91 1.00 (0.95–1.07) 
  Multivariable HR (95% CI) 1.20 (0.91–1.59) 1.16 (0.88–1.54) 1.23 (0.92–1.65) 1.14 (0.83–1.57) 0.52 1.02 (0.95–1.10) 
 Postmenopausal cases 
  Median intake, serving/day 1.1 1.9 2.9 3.7 5.0   
  No. of cases/person-years 119/53,684 125/53,640 107/53,130 133/53,463 131/53,347   
  Age-adjusted HR (95% CI) 1.08 (0.83–1.39) 0.91 (0.70–1.19) 1.12 (0.87–1.44) 1.14 (0.88–1.46) 0.31 1.03 (0.97–1.09) 
  Multivariable HR (95% CI) 1.03 (0.79–1.34) 0.88 (0.67–1.17) 1.08 (0.82–1.42) 1.14 (0.85–1.53) 0.36 1.03 (0.96–1.11) 
Adolescent low-fat dairy 
 All cases 
  Median intake, serving/day 0.07 0.3 0.8 2.6   
  No. of cases/person-years 184/87,906 420/200,430 229/116,769 247/134,092 238/133,922   
  Age-adjusted HR (95% CI) 1.02 (0.86–1.21) 0.98 (0.80–1.19) 0.97 (0.80–1.18) 0.99 (0.82–1.21) 0.87 1.00 (0.94–1.05) 
  Multivariable HR (95% CI) 1.02 (0.85–1.21) 0.98 (0.80–1.19) 0.99 (0.81–1.20) 1.00 (0.82–1.22) 0.96 1.00 (0.94–1.06) 
 Premenopausal cases        
  Median intake, serving/day 0.07 0.1 0.3 1.0 2.8   
  No. of cases/person-years 160/88,270 81/52,327 106/68,826 107/68,978 117/69,604   
  Age-adjusted HR (95% CI) 0.84 (0.64–1.10) 0.84 (0.66–1.08) 0.93 (0.72–1.19) 0.99 (0.78–1.27) 0.49 1.03 (0.95–1.12) 
  Multivariable HR (95% CI) 0.86 (0.65–1.12) 0.86 (0.67–1.11) 0.95 (0.74–1.22) 1.04 (0.80–1.34) 0.31 1.05 (0.96–1.14) 
 Postmenopausal cases 
  Median intake, serving/day 0.07 0.2 0.6 2.5   
  No. of cases/person-years 84/40,651 186/69,442 133/52,951 105/50,790 107/53,429   
  Age-adjusted HR (95% CI) 1.29 (0.99–1.67) 1.23 (0.93–1.62) 1.08 (0.81–1.44) 1.04 (0.78–1.39) 0.25 0.95 (0.87–1.04) 
  Multivariable HR (95% CI) 1.26 (0.97–1.64) 1.22 (0.92–1.62) 1.05 (0.78–1.42) 1.02 (0.76–1.38) 0.22 0.94 (0.86–1.04) 
Adolescent high-fat dairy 
 All cases 
  Median intake, serving/day 0.6 1.2 1.8 2.9 4.2   
  No. of cases/person-years 264/132,526 246/140,206 282/131,707 256/133,575 270/135,104   
  Age-adjusted HR (95% CI) 0.89 (0.74–1.05) 1.06 (0.89–1.25) 0.89 (0.75–1.06) 0.94 (0.79–1.12) 0.51 0.99 (0.95–1.03) 
  Multivariable HR (95% CI) 0.87 (0.73–1.04) 1.03 (0.87–1.23) 0.86 (0.71–1.03) 0.90 (0.74–1.09) 0.26 0.97 (0.93–1.02) 
 Premenopausal cases 
  Median intake, serving/day 0.6 1.1 1.7 2.8 4.1   
  No. of cases/person-years 118/70,774 102/68,152 127/70,316 117/69,419 107/69,345   
  Age-adjusted HR (95% CI) 0.89 (0.68–1.17) 1.04 (0.81–1.34) 0.94 (0.73–1.22) 0.85 (0.65–1.11) 0.29 0.97 (0.90–1.03) 
  Multivariable HR (95% CI) 0.90 (0.68–1.18) 1.05 (0.81–1.37) 0.94 (0.72–1.24) 0.86 (0.64–1.16) 0.37 0.97 (0.90–1.04) 
 Postmenopausal cases 
  Median intake, serving/day 0.6 1.2 1.9 3.1 4.3   
  No. of cases/person-years 125/53,031 108/53,805 136/53,295 112/53,295 134/53,837   
  Age-adjusted HR (95% CI) 0.88 (0.68–1.14) 1.08 (0.85–1.38) 0.87 (0.67–1.12) 1.03 (0.81–1.32) 0.85 1.01 (0.95–1.07) 
  Multivariable HR (95% CI) 0.86 (0.66–1.13) 1.05 (0.81–1.36) 0.82 (0.62–1.07) 1.01 (0.77–1.34) 0.93 1.00 (0.93–1.07) 

NOTE: Multivariable model was stratified by age in months at start of follow-up and calendar year of the current questionnaire cycle and was simultaneously adjusted for smoking (never, past, current 1 to 14/day, current 15 to 24/day, current ≥25/day), race (white, nonwhite), parity and age at first birth (nulliparous, parity ≤2 and age at first birth <25 years, parity≤2 and age at first birth 25 to <30 years, parity ≤2 and age at first birth ≥30 years, parity 3 to 4 and age at first birth <25 years, parity 3 to 4 and age at first birth 25 to <30 years, parity 3 to 4 and age at first birth ≥30 years, parity ≥5 and age at first birth <25 years, parity ≥5 and age at first birth ≥25 years), height (<62, 62 to <65, 65 to <68, ≥68 inches), BMI at age 18 years (<18.5, 18.5 to <22.5, 22.5 to <25, 25.0 to <30, ≥30.0 kg/m2), weight change since age 18 (continuous, missing indicator), age at menarche (<12, 12, 13, ≥14 years), family history of breast cancer (yes, no), history of benign breast disease (yes, no), oral contraceptive use (never, ever), adolescent alcohol intake (nondrinker, <5, ≥5 g/day), adult alcohol intake (nondrinker, <5, 5 to <15, ≥15 g/day), physical activity (quintile), adolescent energy intake (quintile). In postmenopausal women, we additionally adjusted for hormone use (postmenopausal never users, postmenopausal past users, postmenopausal current users) and age at menopause (continuous, missing indicator). Among all women, we additionally adjusted for hormone use and menopausal status (premenopausal, postmenopausal never users, postmenopausal past users, postmenopausal current users, postmenopausal unknown users or unknown menopausal status) and age at menopause (continuous, missing indicator).

aPtrend calculated with median intake of variable in each quintile as a continuous variable.

Early adulthood dairy consumption and breast cancer risk

Early adulthood total dairy intake was not associated with overall breast cancer risk [HR (highest vs. lowest) = 1.04, 95% CI, 0.92–1.18; Ptrend = 0.73] nor with premenopausal or postmenopausal breast cancer (Table 3). No association was found between risk of breast cancer and consumption of low-fat or high-fat dairy, milk, cheese, yogurt, ice cream, or cream (Table 3; Supplementary Table S5). Results were similar after additionally adjusting for intake of fiber, total fruits and vegetables, total red meat, animal fat, or the AHEI score. The cumulative average of premenopausal total dairy intake was also not associated with risk of overall breast cancer [HR (highest vs. lowest) = 1.07, 95% CI, 0.94–1.21; Ptrend = 0.74], premenopausal breast cancer [HR (highest vs. lowest) = 1.06, 95% CI, 0.89–1.26; Ptrend = 0.66], or postmenopausal breast cancer [HR (highest vs. lowest) = 0.94, 95% CI, 0.76–1.16; Ptrend = 0.26]. No significant associations were found for the cumulative average of premenopausal low-fat dairy, high-fat dairy, milk, cheese, or yogurt intake and breast cancer risk.

Table 3.

HRs and 95% CI for breast cancer according to quintile of early adulthood dairy product intake

Quintile of intake
12345PtrendaPer 1 serving/day
Early adulthood total dairy products intake 
 All cases 
  Median intake, serving/day 0.7 1.3 1.9 2.9 4.1   
  No. of cases/person-years 647/375,726 649/375,863 664/380,088 626/376,361 605/377,580   
  Age-adjusted HR (95% CI) 1.04 (0.93–1.15) 1.07 (0.96–1.20) 1.03 (0.93–1.15) 1.04 (0.93–1.16) 0.61 1.01 (0.98–1.04) 
  Multivariable HR (95% CI) 1.03 (0.92–1.15) 1.05 (0.94–1.18) 1.02 (0.91–1.15) 1.04 (0.92–1.18) 0.73 1.01 (0.97–1.04) 
 Premenopausal cases 
  Median intake, serving/day 0.7 1.4 2.0 3.0 4.2   
  No. of cases/person-years 341/236,401 342/236,006 359/235,913 334/236,710 330/235,834   
  Age-adjusted HR (95% CI) 1.03 (0.88–1.19) 1.10 (0.95–1.28) 1.01 (0.87–1.17) 1.05 (0.90–1.22) 0.77 1.01 (0.97–1.05) 
  Multivariable HR (95% CI) 1.03 (0.88–1.19) 1.10 (0.94–1.28) 1.01 (0.86–1.19) 1.06 (0.89–1.26) 0.72 1.01 (0.96–1.05) 
 Postmenopausal cases 
  Median intake, serving/day 0.6 1.3 1.8 2.8 4.0   
  No. of cases/person-years 244/106,526 229/105,141 227/106,662 226/106,306 208/105,294   
  Age-adjusted HR (95% CI) 0.98 (0.81–1.17) 0.95 (0.79–1.14) 0.97 (0.81–1.16) 0.92 (0.77–1.11) 0.45 0.98 (0.93–1.03) 
  Multivariable HR (95% CI) 0.97 (0.80–1.16) 0.93 (0.77–1.12) 0.94 (0.77–1.13) 0.89 (0.73–1.10) 0.30 0.97 (0.92–1.03) 
Early adulthood low-fat dairy 
 All cases 
  Median intake, serving/day 0.1 0.6 1.1 1.6 2.9   
  No. of cases/person-years 617/370,200 684/381,303 635/381,221 657/387,660 598/364,995   
  Age-adjusted HR (95% CI) 1.10 (0.98–1.22) 1.03 (0.92–1.15) 1.05 (0.94–1.17) 1.07 (0.95–1.20) 0.52 1.01 (0.98–1.05) 
  Multivariable HR (95% CI) 1.09 (0.97–1.21) 1.01 (0.90–1.13) 1.03 (0.92–1.16) 1.06 (0.94–1.20) 0.62 1.01 (0.97–1.05) 
 Premenopausal cases 
  Median intake, serving/day 0.1 0.6 1.1 1.7 2.9   
  No. of cases/person-years 346/232,954 332/234,767 362/245,037 320/224,263 346/243,749   
  Age-adjusted HR (95% CI) 0.96 (0.83–1.12) 1.01 (0.87–1.17) 0.97 (0.83–1.12) 0.99 (0.85–1.14) 0.91 1.00 (0.95–1.05) 
  Multivariable HR (95% CI) 0.96 (0.83–1.12) 1.01 (0.87–1.17) 0.97 (0.83–1.14) 1.01 (0.86–1.18) 0.87 1.00 (0.95–1.06) 
 Postmenopausal cases 
  Median intake, serving/day 0.1 0.6 1.0 1.5 2.8   
  No. of cases/person-years 215/105,697 249/104,275 224/105,077 223/110,176 223/104,600   
  Age-adjusted HR (95% CI) 1.18 (0.98–1.42) 1.07 (0.88–1.29) 1.01 (0.83–1.22) 1.10 (0.91–1.33) 0.81 1.01 (0.94–1.08) 
  Multivariable HR (95% CI) 1.18 (0.98–1.41) 1.05 (0.87–1.27) 0.99 (0.81–1.20) 1.08 (0.89–1.32) 0.94 1.00 (0.94–1.08) 
Early adulthood high-fat dairy 
 All cases 
  Median intake, serving/day 0.2 0.4 0.6 1.0 1.9   
  No. of cases/person-years 697/401,858 509/308,304 703/413,946 663/389,246 618/371,494   
  Age-adjusted HR (95% CI) 0.99 (0.88–1.11) 1.05 (0.94–1.17) 1.07 (0.96–1.19) 1.06 (0.95–1.18) 0.18 1.04 (0.98–1.11) 
  Multivariable HR (95% CI) 0.98 (0.87–1.10) 1.04 (0.93–1.16) 1.07 (0.96–1.20) 1.06 (0.95–1.19) 0.19 1.04 (0.98–1.11) 
 Premenopausal cases 
  Median intake, serving/day 0.2 0.5 0.7 1.1 1.9   
  No. of cases/person-years 356/237,648 342/249,251 331/219,841 332/242,479 344/231,269   
  Age-adjusted HR (95% CI) 0.94 (0.81–1.09) 1.06 (0.91–1.23) 0.99 (0.85–1.15) 1.08 (0.93–1.26) 0.18 1.06 (0.97–1.15) 
  Multivariable HR (95% CI) 0.94 (0.81–1.09) 1.07 (0.91–1.24) 1.00 (0.85–1.16) 1.08 (0.92–1.27) 0.23 1.06 (0.97–1.15) 
 Postmenopausal cases 
  Median intake, serving/day 0.1 0.4 0.6 1.0 1.7   
  No. of cases/person-years 228/103,750 241/111,207 218/101,241 227/105,351 220/108,089   
  Age-adjusted HR (95% CI) 1.01 (0.84–1.21) 1.04 (0.86–1.25) 1.02 (0.85–1.23) 0.99 (0.82–1.20) 0.88 0.99 (0.89–1.11) 
  Multivariable HR (95% CI) 1.00 (0.83–1.20) 1.02 (0.84–1.24) 1.01 (0.84–1.23) 0.98 (0.81–1.20) 0.84 0.99 (0.88–1.11) 
Quintile of intake
12345PtrendaPer 1 serving/day
Early adulthood total dairy products intake 
 All cases 
  Median intake, serving/day 0.7 1.3 1.9 2.9 4.1   
  No. of cases/person-years 647/375,726 649/375,863 664/380,088 626/376,361 605/377,580   
  Age-adjusted HR (95% CI) 1.04 (0.93–1.15) 1.07 (0.96–1.20) 1.03 (0.93–1.15) 1.04 (0.93–1.16) 0.61 1.01 (0.98–1.04) 
  Multivariable HR (95% CI) 1.03 (0.92–1.15) 1.05 (0.94–1.18) 1.02 (0.91–1.15) 1.04 (0.92–1.18) 0.73 1.01 (0.97–1.04) 
 Premenopausal cases 
  Median intake, serving/day 0.7 1.4 2.0 3.0 4.2   
  No. of cases/person-years 341/236,401 342/236,006 359/235,913 334/236,710 330/235,834   
  Age-adjusted HR (95% CI) 1.03 (0.88–1.19) 1.10 (0.95–1.28) 1.01 (0.87–1.17) 1.05 (0.90–1.22) 0.77 1.01 (0.97–1.05) 
  Multivariable HR (95% CI) 1.03 (0.88–1.19) 1.10 (0.94–1.28) 1.01 (0.86–1.19) 1.06 (0.89–1.26) 0.72 1.01 (0.96–1.05) 
 Postmenopausal cases 
  Median intake, serving/day 0.6 1.3 1.8 2.8 4.0   
  No. of cases/person-years 244/106,526 229/105,141 227/106,662 226/106,306 208/105,294   
  Age-adjusted HR (95% CI) 0.98 (0.81–1.17) 0.95 (0.79–1.14) 0.97 (0.81–1.16) 0.92 (0.77–1.11) 0.45 0.98 (0.93–1.03) 
  Multivariable HR (95% CI) 0.97 (0.80–1.16) 0.93 (0.77–1.12) 0.94 (0.77–1.13) 0.89 (0.73–1.10) 0.30 0.97 (0.92–1.03) 
Early adulthood low-fat dairy 
 All cases 
  Median intake, serving/day 0.1 0.6 1.1 1.6 2.9   
  No. of cases/person-years 617/370,200 684/381,303 635/381,221 657/387,660 598/364,995   
  Age-adjusted HR (95% CI) 1.10 (0.98–1.22) 1.03 (0.92–1.15) 1.05 (0.94–1.17) 1.07 (0.95–1.20) 0.52 1.01 (0.98–1.05) 
  Multivariable HR (95% CI) 1.09 (0.97–1.21) 1.01 (0.90–1.13) 1.03 (0.92–1.16) 1.06 (0.94–1.20) 0.62 1.01 (0.97–1.05) 
 Premenopausal cases 
  Median intake, serving/day 0.1 0.6 1.1 1.7 2.9   
  No. of cases/person-years 346/232,954 332/234,767 362/245,037 320/224,263 346/243,749   
  Age-adjusted HR (95% CI) 0.96 (0.83–1.12) 1.01 (0.87–1.17) 0.97 (0.83–1.12) 0.99 (0.85–1.14) 0.91 1.00 (0.95–1.05) 
  Multivariable HR (95% CI) 0.96 (0.83–1.12) 1.01 (0.87–1.17) 0.97 (0.83–1.14) 1.01 (0.86–1.18) 0.87 1.00 (0.95–1.06) 
 Postmenopausal cases 
  Median intake, serving/day 0.1 0.6 1.0 1.5 2.8   
  No. of cases/person-years 215/105,697 249/104,275 224/105,077 223/110,176 223/104,600   
  Age-adjusted HR (95% CI) 1.18 (0.98–1.42) 1.07 (0.88–1.29) 1.01 (0.83–1.22) 1.10 (0.91–1.33) 0.81 1.01 (0.94–1.08) 
  Multivariable HR (95% CI) 1.18 (0.98–1.41) 1.05 (0.87–1.27) 0.99 (0.81–1.20) 1.08 (0.89–1.32) 0.94 1.00 (0.94–1.08) 
Early adulthood high-fat dairy 
 All cases 
  Median intake, serving/day 0.2 0.4 0.6 1.0 1.9   
  No. of cases/person-years 697/401,858 509/308,304 703/413,946 663/389,246 618/371,494   
  Age-adjusted HR (95% CI) 0.99 (0.88–1.11) 1.05 (0.94–1.17) 1.07 (0.96–1.19) 1.06 (0.95–1.18) 0.18 1.04 (0.98–1.11) 
  Multivariable HR (95% CI) 0.98 (0.87–1.10) 1.04 (0.93–1.16) 1.07 (0.96–1.20) 1.06 (0.95–1.19) 0.19 1.04 (0.98–1.11) 
 Premenopausal cases 
  Median intake, serving/day 0.2 0.5 0.7 1.1 1.9   
  No. of cases/person-years 356/237,648 342/249,251 331/219,841 332/242,479 344/231,269   
  Age-adjusted HR (95% CI) 0.94 (0.81–1.09) 1.06 (0.91–1.23) 0.99 (0.85–1.15) 1.08 (0.93–1.26) 0.18 1.06 (0.97–1.15) 
  Multivariable HR (95% CI) 0.94 (0.81–1.09) 1.07 (0.91–1.24) 1.00 (0.85–1.16) 1.08 (0.92–1.27) 0.23 1.06 (0.97–1.15) 
 Postmenopausal cases 
  Median intake, serving/day 0.1 0.4 0.6 1.0 1.7   
  No. of cases/person-years 228/103,750 241/111,207 218/101,241 227/105,351 220/108,089   
  Age-adjusted HR (95% CI) 1.01 (0.84–1.21) 1.04 (0.86–1.25) 1.02 (0.85–1.23) 0.99 (0.82–1.20) 0.88 0.99 (0.89–1.11) 
  Multivariable HR (95% CI) 1.00 (0.83–1.20) 1.02 (0.84–1.24) 1.01 (0.84–1.23) 0.98 (0.81–1.20) 0.84 0.99 (0.88–1.11) 

NOTE: Multivariable model was stratified by age in months at start of follow-up and calendar year of the current questionnaire cycle and was simultaneously adjusted for race (white, nonwhite), family history of breast cancer in mother or sisters (yes, no), history of benign breast disease (yes, no), smoking (never, past, current 1 to 14/day, current 15 to 24/day, current ≥25/day), height (<62, 62 to <65, 65 to <68, ≥68 inches), BMI at age 18 years (<18.5, 18.5 to <20, 20 to <22.5, 22.5 to <25, 25.0 to <30, ≥30.0 kg/m2), weight change since age 18 (continuous, missing indicator), age at menarche (<12, 12, 13, ≥14 years), parity and age at first birth (nulliparous, parity ≤2 and age at first birth <25 years, parity≤2 and age at first birth 25 to <30 years, parity ≤2 and age at first birth ≥30 years, parity 3 to 4 and age at first birth <25 years, parity 3 to 4 and age at first birth 25 to <30 years, parity 3 to 4 and age at first birth ≥30 years, parity ≥5 and age at first birth <25 years, parity ≥5 and age at first birth ≥25 years), oral contraceptive use (never, ever), alcohol intake (nondrinker, <5, 5 to <15, ≥15 g/day), physical activity (quintile), and energy intake (quintile). In postmenopausal women, we additionally adjusted for hormone use (postmenopausal never users, postmenopausal past users, postmenopausal current users) and age at menopause (continuous, missing indicator). Among all women, we additionally adjusted for hormone use and menopausal status (premenopausal, postmenopausal never users, postmenopausal past users, postmenopausal current users, unknown menopausal status) and age at menopause (continuous, missing indicator).

aPtrend calculated with median intake of each variable in each quintile as a continuous variable.

Average adolescent and early adulthood dairy consumption and breast cancer risk

Adolescent and early adult (1991) total dairy intake was modestly correlated (r = 0.35). Among women with both early adulthood and adolescent dietary data (n = 41,092), adolescent and early adulthood dairy intake was averaged. We observed no significant association with risk of premenopausal or postmenopausal breast cancer. However, an inverse association was noted between average adolescent and early adulthood yogurt intake and overall (for ≥1 serving/month vs. never or <1 serving/month: HR = 0.88, 95% CI, 0.79–1.00) and premenopausal breast cancer risk (for ≥1 serving/month vs. never or <1 serving/month: HR = 0.82, 95% CI, 0.68–0.99). This inverse association did not reach a significant level for postmenopausal breast cancer (for ≥1 serving/month vs. never or <1 serving/month: HR = 0.91, 95% CI, 0.77–1.08).

Calcium, vitamin D, and lactose intake and breast cancer risk

We did not observe any significant association between breast cancer risk and calcium, vitamin D, or lactose intake during either adolescence or early adulthood (Supplementary Tables S6 and S7).

Subgroup analyses

We had information on ER status for 82% (n = 2,617) of breast cancers and PR status for 82% (n = 2,604) of breast cancers. Associations between adolescent consumption of total dairy and high-fat dairy products and risk of breast cancer differed by ER/PR status (Table 4). High adolescent total dairy intake was associated with higher risk of ER/PR cancer (each serving/day for total dairy product HR = 1.11, 95% CI, 1.00–1.24; Pfor difference by receptor status = 0.04). During adolescence, high intake of high-fat dairy products was associated with increased risk of ER/PR cancer (each serving/day HR = 1.17, 95% CI, 1.04–1.31; Pfor difference by receptor status = 0.0004) and decreased risk of ER+/PR+ tumors (each serving/day HR = 0.91, 95% CI, 0.86–0.97). These associations were minimally changed after additional adjustment for animal or total fat intake. We did not observe significant heterogeneity between early adulthood dairy intake and tumor receptor status in either premenopausal or postmenopausal breast cancer (Table 4). To evaluate whether missing data on ER/PR status may affect the results, we examined the associations between dairy food intake and overall breast cancer incidence when only cases with ER/PR data were included. Compared with analyses including all cases of breast cancer, we observed similar results for both adolescent and early adulthood dairy food intake when the analyses included only cases with ER/PR data.

Table 4.

Adolescent and early adulthood dairy products intake in relation to risk of breast cancer by estrogen and progesterone receptor status among women in the Nurses' Health Study II

All casesPremenopausal casesPostmenopausal cases
Breast cancer subtypeNo. of casesHR (95% CI)No. of casesHR (95% CI)No. of casesHR (95% CI)
Adolescent total dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 822 0.97 (0.92–1.03) 379 0.96 (0.88–1.04) 369 1.00 (0.91–1.09) 
 Estrogen and progesterone receptor negative 179 1.11 (1.00–1.24) 84 1.10 (0.94–1.29) 79 1.16 (0.97–1.37) 
 Estrogen receptor positive and progesterone receptor negative 119 1.08 (0.94–1.23) 35 1.04 (0.81–1.34) 70 1.12 (0.94–1.34) 
Pfor difference by receptor status 0.04 0.24 0.17 
Early adult total dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 1849 1.01 (0.97–1.05) 1028 1.01 (0.96–1.07) 643 0.98 (0.91–1.06) 
 Estrogen and progesterone receptor negative 451 0.99 (0.91–1.07) 255 1.03 (0.93–1.14) 153 0.92 (0.80–1.06) 
 Estrogen receptor positive and progesterone receptor negative 247 1.01 (0.91–1.12) 109 1.10 (0.95–1.29) 111 0.95 (0.80–1.12) 
Pfor difference by receptor status 0.87 0.58 0.66 
Adolescent high-fat dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 822 0.91 (0.86–0.97) 379 0.90 (0.83–0.99) 369 0.96 (0.88–1.04) 
 Estrogen and progesterone receptor negative 179 1.17 (1.04–1.31) 84 1.15 (0.97–1.37) 79 1.18 (0.99–1.39) 
 Estrogen receptor positive and progesterone receptor negative 119 0.99 (0.86–1.14) 35 1.01 (0.78–1.33) 70 0.97 (0.81–1.16) 
Pfor difference by receptor status 0.0004 0.03 0.09 
Early adult high-fat dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 1849 1.05 (0.97–1.14) 1028 1.07 (0.96–1.19) 643 1.00 (0.86–1.17) 
 Estrogen and progesterone receptor negative 451 0.95 (0.81–1.13) 255 1.02 (0.82–1.26) 153 0.78 (0.57–1.07) 
 Estrogen receptor positive and progesterone receptor negative 247 1.13 (0.91–1.41) 109 1.13 (0.82–1.56) 111 1.15 (0.82–1.62) 
Pfor difference by receptor status 0.41 0.85 0.21 
All casesPremenopausal casesPostmenopausal cases
Breast cancer subtypeNo. of casesHR (95% CI)No. of casesHR (95% CI)No. of casesHR (95% CI)
Adolescent total dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 822 0.97 (0.92–1.03) 379 0.96 (0.88–1.04) 369 1.00 (0.91–1.09) 
 Estrogen and progesterone receptor negative 179 1.11 (1.00–1.24) 84 1.10 (0.94–1.29) 79 1.16 (0.97–1.37) 
 Estrogen receptor positive and progesterone receptor negative 119 1.08 (0.94–1.23) 35 1.04 (0.81–1.34) 70 1.12 (0.94–1.34) 
Pfor difference by receptor status 0.04 0.24 0.17 
Early adult total dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 1849 1.01 (0.97–1.05) 1028 1.01 (0.96–1.07) 643 0.98 (0.91–1.06) 
 Estrogen and progesterone receptor negative 451 0.99 (0.91–1.07) 255 1.03 (0.93–1.14) 153 0.92 (0.80–1.06) 
 Estrogen receptor positive and progesterone receptor negative 247 1.01 (0.91–1.12) 109 1.10 (0.95–1.29) 111 0.95 (0.80–1.12) 
Pfor difference by receptor status 0.87 0.58 0.66 
Adolescent high-fat dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 822 0.91 (0.86–0.97) 379 0.90 (0.83–0.99) 369 0.96 (0.88–1.04) 
 Estrogen and progesterone receptor negative 179 1.17 (1.04–1.31) 84 1.15 (0.97–1.37) 79 1.18 (0.99–1.39) 
 Estrogen receptor positive and progesterone receptor negative 119 0.99 (0.86–1.14) 35 1.01 (0.78–1.33) 70 0.97 (0.81–1.16) 
Pfor difference by receptor status 0.0004 0.03 0.09 
Early adult high-fat dairy intake (HR per serving/day) 
 Estrogen and progesterone receptor positive 1849 1.05 (0.97–1.14) 1028 1.07 (0.96–1.19) 643 1.00 (0.86–1.17) 
 Estrogen and progesterone receptor negative 451 0.95 (0.81–1.13) 255 1.02 (0.82–1.26) 153 0.78 (0.57–1.07) 
 Estrogen receptor positive and progesterone receptor negative 247 1.13 (0.91–1.41) 109 1.13 (0.82–1.56) 111 1.15 (0.82–1.62) 
Pfor difference by receptor status 0.41 0.85 0.21 

NOTE: Multivariable model was stratified by age in months at start of follow-up and calendar year of the current questionnaire cycle and was simultaneously adjusted for race (white, nonwhite), family history of breast cancer in mother or sisters (yes, no), history of benign breast disease (yes, no), smoking (never, past, current 1 to 14/day, current 15 to 24/day, current ≥25/day), height (<62, 62 to <65, 65 to <68, ≥68 inches), BMI at age 18 years (<18.5, 18.5 to <20, 20 to <22.5, 22.5 to <25, 25.0 to <30, ≥30.0 kg/m2), weight change since age 18 (continuous, missing indicator), age at menarche (<12, 12, 13, ≥14 years), parity and age at first birth (nulliparous, parity ≤2 and age at first birth <25 years, parity≤2 and age at first birth 25 to <30 years, parity ≤2 and age at first birth ≥30 years, parity 3 to 4 and age at first birth <25 years, parity 3 to 4 and age at first birth 25 to <30 years, parity 3 to 4 and age at first birth ≥30 years, parity ≥5 and age at first birth <25 years, parity ≥5 and age at first birth ≥25 years), oral contraceptive use (never, ever), alcohol intake (nondrinker, <5, 5 to <15, ≥15 g/day), physical activity (quintile), and energy intake (quintile). In postmenopausal women, we additionally adjusted for hormone use (postmenopausal never users, postmenopausal past users, postmenopausal current users), age at menopause (continuous, missing indicator). Among all women, we additionally adjusted for hormone use and menopausal status (premenopausal, postmenopausal never users, postmenopausal past users, postmenopausal current users, unknown menopausal status) and age at menopause (continuous, missing indicator). For adolescent dairy food intake, we additionally adjusted for adolescent alcohol intake (nondrinker, <5, ≥5 g/day) and adolescent energy intake (quintile) (instead of adult energy intake).

The 56 cases of ER+ and PR were not included in the table and 588 women did not have data for ER/PR status.

In addition, we examined whether the association between total dairy and high-fat dairy consumption during adolescence and early adulthood, and risk of breast cancer differed by BMI at age 18 (<21 or ≥ 21 kg/m2). No significant interaction was observed. Because we found a significant positive association between high-fat dairy and breast cancer in a previous analysis using NHSII data and we did not find this result in the current analysis, we examined whether the positive association was due to the younger age of participants at diagnosis, we looked at the association in two groups of women: younger than 45 years and 45 years or more (age updated during follow-up). We observed a significant positive association between early adulthood high-fat dairy consumption and breast cancer risk only among women younger than 45 years (each serving/day HR = 1.15 95% CI, 1.01–1.30).

Adolescent or early adulthood dairy intake was not associated with overall breast cancer risk. Although analysis of two time periods (adolescence and early adulthood) separately did not support the beneficial effects of yogurt for breast cancer prevention, the average adolescent and early adulthood yogurt consumption was associated with lower risk of breast cancer, specially before menopause. Moreover, higher dairy consumption, especially high-fat dairy during adolescence, was associated with a higher risk of ER/PR and lower risk of ER+/PR+ breast cancer. Adolescent or early adulthood calcium, vitamin D, and lactose intake was not associated with incident breast cancer.

Prospective studies have been inconsistent concerning a role of dairy consumption on breast cancer incidence. Although a few studies reported higher (16, 17) or lower (18–23) breast cancer risk, most studies have not reported significant relationships between dairy consumption and breast cancer risk (6–15). Similar to the current study, in an earlier analysis of the NHSII, adolescent dairy intake was not associated with breast cancer risk (12). Although we did not observe a significant association between early adulthood high-fat dairy foods and risk of breast cancer overall, a significant positive association was noted between high-fat dairy and breast cancer among women younger than 45 years. Therefore, it is possible that the positive association observed in the Cho and colleagues (17) study was primarily due to the young age of participants (mean age at diagnosis = 43 years) rather than the early-life dietary evaluation.

Fewer studies evaluated whether the association between dairy products and breast cancer varied by hormone receptor status (14, 19, 23). While lower risk of ER+ breast cancer was observed with higher dairy intake among postmenopausal women in the Cancer Prevention Study II Nutrition Cohort (23), Lin and colleagues (19) and Genkinger and colleagues (14) did not observe any difference by ER/PR status. In our study, high adolescent intake of total and high-fat dairy products was associated with higher risk of ER/PR, but not ER+/PR+ breast cancer. The biological mechanisms are not clear for dairy products by hormone receptor status. Dairy products naturally contain endogenous estrogens and estrogen metabolites (54), which account for approximately 50% of the estrogens consumed (55). In one study, higher dairy consumption was associated with higher total and free estradiol concentrations among postmenopausal women (2). Because factors related to estrogen metabolism are more strongly related to ER+ tumors, our a priori hypothesis was that development of hormone receptor positive tumors might be more sensitive to dairy consumption. Further, insulin-like growth factors likely play an important role in the etiology of breast cancer (56–58), and dairy intake may promote neoplasms by raising insulin-like growth factor I concentrations (3–5, 59). Plasma levels of insulin-like growth factor I were mainly associated with higher ER+ tumor risk, but not ER tumors (60, 61). In addition, N-glycolylneuraminic acid found in dairy foods may play a role in breast tumors (62, 63); however, its role in relation to tumor subtypes is not clear. Therefore, the variation in associations by ER/PR status might have occurred by chance and needs confirmation.

Although prospective cohort studies have not shown any significant association between either yogurt or fermented milk intake and incident breast cancer (8, 14, 20, 22), a recently published meta-analysis with case–control and cohort studies (64) reported a 9% lower breast cancer risk with high yogurt intake. Our study suggested that the average of adolescent and early adulthood yogurt consumption might reduce risk of breast cancer, but this finding should be interpreted cautiously as an association with yogurt was not seen when adolescent and adult intakes were examined separately. Lactic acid bacteria that are found in yogurt may play a role in decreasing breast cancer risk, at least partially through immunomodulatory mechanisms (65).

Our study has several strengths. We were able to evaluate the role of dairy intake in specific life periods, including adolescence, early adulthood, and the cumulative average of the premenopausal time span. The large number of cases showed modest differences in risk and examined breast cancer by menopausal and hormone receptor status.

There are several limitations to our study. The participants were predominantly white nurses who do not represent a random sample of U.S. women; however, biological mechanisms underlying these associations might not differ by race or education. In previous studies, we observed that the associations for breast cancer and other diseases were very similar to those found in the other broadly based U.S. populations. Because women ages 33 to 52 years were asked to recall high school diet, the assessment of adolescent dietary intake might be imprecise. Nevertheless, the HS-FFQ showed reasonable validity (45). In addition, adolescent milk intake was positively associated with increased adult height in the current study, as observed prospectively in the Growing Up Today Study, supporting the validity of our measurement of adolescent milk intake (66). Finally, residual confounding is always of concern in observational studies. With the detailed NHSII questionnaires, we adjusted for all known breast cancer risk factors.

In summary, we found no association between dairy consumption during adolescence or early adulthood with overall breast cancer risk. However, our findings suggested that adolescent high dairy intake might be associated with higher ER/PR and lower ER+/PR+ cancer risk. Intake of calcium, vitamin D, and lactose during adolescence or early adulthood was not associated with breast cancer incidence. Further studies are warranted to investigate these relationships, especially the associations between dairy intake and risk of breast cancers classified by hormone receptor status.

No potential conflicts of interest were disclosed.

Conception and design: M.S. Farvid, E. Cho, W.Y. Chen, W.C. Willett

Development of methodology: M.S. Farvid

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): A.H. Eliassen, E. Cho, W.C. Willett

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M.S. Farvid, E. Cho, W.Y. Chen

Writing, review, and/or revision of the manuscript: M.S. Farvid, A.H. Eliassen, E. Cho, W.Y. Chen, W.C. Willett

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): M.S. Farvid, A.H. Eliassen

Study supervision: M.S. Farvid, A.H. Eliassen, W.C. Willett

The Nurses' Health Study II was supported by the NIH grants (R01 CA050385 and UM1 CA176726; W.C. Willett) and a grant from The Breast Cancer Research Foundation (W.C. Willett).

We would like to thank the participants and staff of the NHSII for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

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