Coffee, Tea, and Mammographic Breast Density in Premenopausal Women
by
, , and
Adashi Margaret Odama
1,†, 
Valerie Otti
1,†,
Shuai Xu
1,
Olamide Adebayo
1 and
Adetunji T. Toriola
1,2,* 1
Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8100, St. Louis, MO 63110, USA
2
Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO 63110, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2021, 13(11), 3852; https://doi.org/10.3390/nu13113852
Submission received: 3 September 2021
/
Revised: 25 October 2021
/
Accepted: 26 October 2021
/
Published: 28 October 2021
(This article belongs to the Special Issue Human Nutrition and Cancer Prevention)
Abstract
:Studies have investigated the associations of coffee and tea with mammographic breast density (MBD) in premenopausal women with inconsistent results. We analyzed data from 375 premenopausal women who attended a screening mammogram at Washington University School of Medicine, St. Louis, MO in 2016, and stratified the analyses by race (non-Hispanic White (NHW) vs. Black/African American). Participants self-reported the number of servings of coffee, caffeinated tea, and decaffeinated tea they consumed. Volpara software was used to determine volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV). We used generalized linear regression models to quantify the associations of coffee and tea intake with MBD measures. Coffee: ≥1 time/day (β = 1.06; 95% CI = 0.93–1.21; p-trend = 0.61) and caffeinated tea: ≥1 time/day (β = 1.01; 95% CI = 0.88–1.17; p-trend = 0.61) were not associated with VPD. Decaffeinated tea (≥1 time/week) was positively associated with VPD in NHW women (β = 1.22; 95% CI = 1.06–1.39) but not in African American women (β = 0.93; 95% CI = 0.73–1.17; p-interaction = 0.02). Coffee (≥1 time/day) was positively associated with DV in African American women (β = 1.52; 95% CI = 1.11–2.07) but not in NHW women (β = 1.10; 95% CI = 0.95–1.29; p-interaction = 0.02). Our findings do not support associations of coffee and caffeinated tea intake with VPD in premenopausal women. Positive associations of decaffeinated tea with VPD, with suggestions of effect modification by race, require confirmation in larger studies with diverse study populations.
1. Introduction
Mammographic breast density (MBD), the amount of epithelial and stromal tissues in relation to adipose tissue in the breast, is a risk factor for breast cancer [1,2,3,4]. Studies have reported a 4–6-fold increased risk for breast cancer among women in the highest quartile of MBD (>75%) compared to those in the lowest quartile (<25%) [5], especially in premenopausal women [4,6]. To have a greater understanding of the determinants of breast density, especially those that can be modified, studies have investigated the associations of adult diet and dietary factors with MBD. Results from those studies have, however, been largely null [7,8,9,10].
Coffee and tea are promising dietary factors to evaluate in relation to MBD because they contain phytochemicals [11] and have also been shown to influence estrogen levels and estrogen metabolites [12]. They also contain phenolic compounds, which have anti-oxidative properties [13]. Caffeine, a major component of coffee and tea, is a natural purine alkaloid that is thought to induce anticancer properties through various mechanisms including its effect on apoptosis, DNA repair capacity, and altered sex hormone levels [14,15,16].
Only a limited number of studies (four to date) have investigated the associations of coffee or tea intake with MBD, and their findings have been inconsistent [17,18,19,20]. Two studies investigated the associations between caffeine intake (including coffee) and MBD: one in premenopausal women alone [20] and the other in both pre- and postmenopausal women [19]. Both studies reported no associations between regular coffee and MBD in premenopausal women but one study observed a positive association between decaffeinated coffee and MBD [19]. Likewise, two studies have investigated the associations of tea (green and black) with MBD: one study in both pre- and postmenopausal women [17], and the other study was a randomized controlled trial (RCT) of green tea extract (GTE) supplementation on MBD in postmenopausal women [18]. The first study found an inverse association between green tea and MBD in both pre- and postmenopausal women, but the findings were not significant in premenopausal women [17]. The study also found no associations between black tea and MBD. All four studies used area-based measures of MBD and did not investigate whether associations differed by race. Our objective in this study was to investigate the associations of coffee and tea intake with MBD in premenopausal women using volumetric measures of MBD. Further, we provide the first data on the associations of coffee and tea intake with MBD in African American women.
2. Methods
2.1. Participants
We recruited 375 cancer-free premenopausal women who were scheduled for an annual screening mammogram at the Joanne Knight Breast Health Center (BHC) at Siteman Cancer Center at Washington University School of Medicine, St. Louis, Missouri in 2016. Premenopausal women scheduled for their annual screening were mailed flyers about the study in advance of their appointment. Follow-up calls were then made within seven days of the scheduled appointments to further screen interested women and clarify any concerns regarding the study. Eligibility criteria included: (i) Premenopausal at the time of mammogram. Women were identified as premenopausal if they had a regular menstrual period within the preceding 12 months, no prior history of bilateral oophorectomy, and had not used menopausal hormone therapy; (ii) no serious medical condition that would prevent the participant from returning for her annual mammogram in 12 months; (iii) not pregnant; (iv) no history of any cancer, including breast cancer; and (v) no history of breast augmentation or reduction [21]. Participants provided informed consent and study approval was granted by the Institutional Review Board (IRB) of the Washington University School of Medicine.
2.2. Coffee/Tea Intake
On the day of their screening, mammogram participants completed a questionnaire on several potential risk factors including coffee and tea intake.
Participants were asked how many servings of the following beverages they consume: coffee, caffeinated tea, herbal tea, or decaffeinated tea. A serving of these beverages was defined as an 8 oz glass. Coffee intake was categorized into: (i) less than once/week, (ii) 1 time/week, (iii) 2–6 times/week, (iv) 1 time/day; >1 time/day. Due to low consumption, we recategorized caffeinated tea and decaffeinated tea based on the distribution in our study population. Caffeinated tea was recategorized into: (i) less than once per week, (ii) once/week, (iii) 2–6 times/week, (iv) ≥1 time/day. Decaffeinated tea intake was recategorized into (i) <1 time/week and (ii) ≥1 time/week.
2.3. Mammographic Breast Density Measures
We used Volpara [version 1.5, (Matakina Technology Ltd., Wellington, New Zealand)] to determine the volumetric measures of MBD. Volpara uses a computerized algorithm that calculates the X-ray attenuation and measured breast thickness at each pixel to estimate volumetric measures [22]. Volpara volumetric percent density (VPD) measures correspond to the Breast Imaging Reporting and Data System (BI-RADS) categorical terms (5th edition). These translate to a: <3.5% (almost entirely fatty), b: ≥3.5 and <7.5% (scattered areas of fibroglandular density), c: ≥7.5 and <15.5% (heterogeneously dense), and d: ≥15.5% (extremely dense) [23].
2.4. Statistical Analysis
We calculated mean and standard deviations for continuous variables and percentages for categorical variables. MBD measures (volumetric percent density, dense volume, and non-dense volume) were skewed; hence, we natural log transformed them to meet the assumption of normality of the residuals. We built linear regression models to determine the associations of coffee/tea intake and log transformed the MBD measures. All models were adjusted for age (continuous), age at menarche (continuous), body mass index (continuous), parity, and age at first birth (nulliparous, 1–2 children and <25 years at first birth, 1–2 children and 25–29 years at first birth, 1–2 children and ≥30 years at first birth, ≥3 children and <25 years at first birth, ≥3 children and ≥25 years at first birth), race (NHW, African American, others), and family history of breast cancer in a first-degree relative (no, yes, missing) based on their significance at a p-value < 0.10 in our models. We computed back-transformed beta coefficients [exp(β)] and 95% confidence intervals from the regression models. To make the interpreting of our results easier, we presented the coefficients as percentage difference (%) [Diff % = (exp(β) − 1) ∗ 100]. Tests for trends across coffee/tea intake were performed using the Wald statistic by including the medians of each category as continuous variables in the adjusted linear models. We also used Wald tests to examine whether the associations of coffee/tea intake on MBD differed depending on race (NHW and African American). We performed a sensitivity analysis to examine the interaction between coffee/tea intake and race (NHW, African American, and Others). We conducted a subgroup analysis only for NHW and African Americans because of the small sample size of the other races (n = 19). All the analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC, USA). All tests were two-sided, and p < 0.05 was considered as the statistical significance.
3. Results
Of the 375 premenopausal women enrolled in our study, 65.6% were NHW and 29.3% were Black/African American (Table 1). The mean age was 47.5 years (range 32–58 years). The mean age at menarche was 12.8 years (range 9–18 years). The mean body mass index (BMI) at enrollment was 30.6 kg/m2. As many as 24.5% of participants drank coffee >1 time/day, 16.3% drank caffeinated tea ≥1 time/day, and 25.6% drank decaffeinated tea ≥1 time/week. The mean volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV) were 9.5%, 80.7 cm3, and 1079 cm3, respectively.
In multivariable-adjusted models, there were no associations between coffee, caffeinated tea, and VPD (Table 2). Women who drank coffee and caffeinated tea ≥1 time/day had a 6% (β = 1.06; 95% CI = 0.93–1.21; p-trend = 0.61) and a 1% (β = 1.01; 95% CI = 0.88–1.17; p-trend = 0.61) higher VPD compared to those who drank <1 time/week, respectively. Women who drank decaffeinated tea ≥1 time/week had an 11% higher VPD (β = 1.11; 95% CI = 1.00–1.25) compared to those with an intake of <1 time/week (Table 2).
We observed a positive association between coffee intake and DV (Table 3). Women who drank coffee ≥1 time/day had a 13% higher DV (β = 1.13; 95% CI = 1.01–1.29; p-trend = 0.05) compared to those who drank coffee <1 time/week. Caffeinated and decaffeinated tea were not associated with DV. Likewise, there were no associations of coffee, caffeinated tea, and decaffeinated tea with NDV (Table 3).
Race appears to modify the associations of coffee and tea intake with MBD. Decaffeinated tea was positively associated with VPD in NHW women but not in African American women (Table 4). NHW women with an intake of ≥1 time/week had a 22% higher VPD (β = 1.22; 95% CI = 1.06–1.39; p-interaction = 0.02) compared to those with an intake of <1 time/week.
Coffee intake was positively associated with dense volume (β = 1.52; 95% CI = 1.11–2.07) in African American women but not in NHW women (β = 1.10; 95% CI = 0.95–1.29; p-interaction = 0.02) (Table 5). Decaffeinated tea was inversely associated with NDV in NHW women (β = 0.81; 95% CI = 0.70–0.93) but not African American women (β = 1.15; 95% CI = 0.89–1.48; p-interaction = 0.01) (Table 5).
4. Discussion
We observed no associations of coffee and caffeinated tea with VPD in premenopausal women. Decaffeinated tea, however, was positively associated with VPD. We report, for the first time: possible effect modification by race on the associations of coffee and tea intake with MBD, positive associations of decaffeinated tea with VPD in NHW only, and positive associations of coffee with DV in African American only, which require confirmation in other studies.
Two studies within the Nurse Health Study (NHS) cohorts have investigated the associations of coffee and MBD in premenopausal women [19,20]. They reported no associations between adolescent coffee intake [20] and regular coffee intake in adulthood [19] with percent mammographic density (PMD) in premenopausal women, although one of them observed an inverse association of regular coffee intake in adulthood with PMD in postmenopausal women [19]. Similarly, we found no associations between coffee and VPD, even after stratifying by race. Interestingly, one of the studies reported a positive association between decaffeinated coffee and PMD in premenopausal women [19]. Although we did not include decaffeinated coffee in our analyses, we observed a similar association between decaffeinated tea and VPD. Decaffeinated tea was positively associated with VPD in NHW women but not African American women. Likewise, the NHS study population is predominantly NHW (97%) [19]. Coffee and tea are different types of beverages, and it is unclear why they should be positively associated with MBD when decaffeinated; however, our results and those from the NHS suggest possible positive associations between decaffeinated beverages and MBD in premenopausal NHW women.
We observed no associations between caffeinated tea and VPD. Our results differ from the other two studies [17,18] that investigated associations between tea and MBD. In the first study with 2859 Chinese women, daily green tea drinkers had a 2.2% lower PMD when compared to non-tea drinkers, while black tea was not associated with PMD [17]. After stratifying the results by menopausal status, the inverse association between green tea and PMD remained in premenopausal women but was not statistically significant [17]. The second study was an RCT that observed no differences in PMD between the placebo group and the GTE group after one-year of GTE supplementation. However, after stratifying by age, they observed that GTE was associated with a 4.4% reduction in PMD in the youngest age group (50–55 years), although the interaction between age and GTE on PMD was only borderline statistically significant [18]. The differences in our results, when compared to these studies, might be due to various factors: Participants in the RCT were postmenopausal (mean age was 60 years) [18], and while participants in the Chinese study were both pre- and postmenopausal, they were older than 50 years [17]. In contrast, our study was limited to premenopausal women, and our study population was younger with a mean age of 47.5 years. Both studies focused on specific types of tea: the Chinese study on green and black tea, and the RCT study on green tea extract. However, we evaluated caffeinated and decaffeinated tea, not a specific tea type (green or black tea). Further, participants in the first study were Chinese [17] while the majority of the women (>97%) in the RCT study were NHW women [18]. In our study, close to 30% of our participants were African American.
To the best of our knowledge, our study is the first to evaluate the associations of coffee and tea intake with MBD in African American women. We observed that decaffeinated tea was positively associated with VPD in NHW women but not in African American women. On the other hand, coffee was positively associated with DV in African American women but not in NHW women. Given these findings, larger studies with diverse populations are needed to investigate whether race modifies the associations of coffee and tea with MBD.
Coffee and tea can impact estrogen levels and estrogen metabolites [12], and they contain phytochemicals through which they can impact cell proliferation and differentiation [11]; hence, their associations with MBD are biologically plausible. Further, caffeine, one of the main components of coffee and tea, inhibits protein kinases such as the ataxia-telangiectasia mutated (ATM)/Rad3-related (ATR) kinases as well as induces anticancer potential through apoptosis [14]. Some tea catechins have also been found to have inhibitory effects on breast cancer [24]; this observation has mostly been in relation to green tea [25,26,27], while black tea has been found to have positive associations with breast cancer [28,29,30].
Studies have reported possible associations between some diet and dietary factors, such as dairy products (including milk), adolescent intake of animal fat, and olive oil with MBD [31,32,33]. Given that diet is modifiable, there is the need for more studies looking at the associations of diet and dietary factors, as well as their interactions with MBD.
Our study has some limitations: It is cross-sectional. Information on coffee and tea intake was self-reported by participants, but we do not expect that there will be a differential recall of coffee or tea intake based on MBD. Although we adjusted for potential confounders, residual confounding might remain.
Despite these limitations, our study has the following strengths: Study participants were recruited from all women attending annual routine screening mammography at the Joanne Knight Breast Health Center, improving generalizability. We assessed MBD using Volpara, which provides volumetric measures of density and has been shown to provide highly reproducible results [34,35].
Author Contributions
A.T.T. conceived and designed the study, supervised study conducts and data collection, and provided critical revision of the manuscript. A.M.O. and V.O. performed the literature search. A.M.O., V.O. and O.A. drafted the manuscript. A.T.T. contributed to the data review. S.X. performed data analyses and produced the tables. A.M.O., S.X. and A.T.T. contributed to data interpretation. All authors have read and agreed to the published version of the manuscript.
Funding
The study is supported by funds from the Susan G. Komen Foundation (CCR15332379—A.T. Toriola), NIH/NCI (R37CA235602 and R01CA246592)—A.T. Toriola). The funders had no role in study design, data collection, analysis, interpretation of data, preparation of the report, or decision to publish. All authors had full access to all the data and analyses and had final responsibility for the decision to submit for publication.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Washington University School of Medicine. (protocol code 201505122, date of approval: 29 June 2015).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Characteristics of 375 premenopausal women recruited during the annual screening mammogram.
Table 1.
Characteristics of 375 premenopausal women recruited during the annual screening mammogram.
| Characteristic | Number | Mean ± SD a/Percentage |
|---|---|---|
| Age, years | 375 | 47.5 ± 4.8 |
| Age at Menarche, years | 373 | 12.8 ± 2.2 |
| Body Mass Index (BMI), kg/m2 | 375 | 30.8 ± 8.1 |
| Family history of breast cancer | ||
| Yes | 88 | 23.5% |
| No | 287 | 76.5% |
| Race | ||
| NHW | 246 | 65.6% |
| Black/African American | 110 | 29.3% |
| Others/Unknown | 19 | 5.1% |
| Coffee intake | ||
| <1 time/week | 133 | 35.5% |
| 1 time/week | 22 | 5.9% |
| 2–6 times/week | 37 | 9.9% |
| 1 time/day | 85 | 22.7% |
| ≥1 time/day | 92 | 24.5% |
| Missing | 6 | 1.6% |
| Caffeinated tea intake | ||
| <1 time/week | 161 | 42.9% |
| 1 time/week | 63 | 16.8% |
| 2–6 times/week | 71 | 18.9% |
| ≥1 time/day | 61 | 16.3% |
| Missing | 19 | 5.1% |
| Decaffeinated tea intake | ||
| <1 time/week | 250 | 66.7% |
| ≥1 time/week | 96 | 25.6% |
| Missing | 29 | 7.7% |
| Parity and age at first birth | ||
| Nulliparous | 70 | 18.7% |
| 1–2 children, <25 years | 65 | 17.3% |
| 1–2 children, 25–29 years | 61 | 16.3% |
| 1–2 children, ≥30 years | 79 | 21.1% |
| ≥3 children, <25 years | 61 | 16.3% |
| ≥3 children, ≥25 years | 36 | 9.6% |
| Missing | 3 | 0.8% |
| Mammographic breast density | ||
| Volumetric Percent Density (%) | 375 | 9.5 ± 6.5 |
| Non-Dense Volume (cm3) | 375 | 1079.0 ± 743.0 |
| Dense Volume (cm3) | 375 | 80.7 ± 42.7 |
a SD = standard deviation.
Table 2.
Associations of coffee/tea intake with volumetric percent density in premenopausal women *.
Table 2.
Associations of coffee/tea intake with volumetric percent density in premenopausal women *.
| Frequency | Number | exp(β) (95% CI) | p-Trend |
|---|---|---|---|
| Coffee | 0.61 | ||
| <1 time/week | 133 | Ref | |
| 1 time/week | 22 | 1.02 (0.82, 1.26) | |
| 2–6 times/week | 37 | 0.93 (0.78, 1.11) | |
| 1 time/day | 85 | 0.98 (0.86, 1.13) | |
| ≥1 time/day | 92 | 1.06 (0.93, 1.21) | |
| Caffeinated tea | 0.61 | ||
| <1 time/week | 161 | Ref | |
| 1 time/week | 63 | 0.97 (0.84, 1.11) | |
| 2–6 times/week | 71 | 0.90 (0.78, 1.03) | |
| ≥1 time/day | 61 | 1.01 (0.88, 1.17) | |
| Decaffeinated tea | - | ||
| <1 time/week | 250 | Ref | |
| ≥1 time/week | 96 | 1.11 (1.00, 1.25) |
* Adjusted for age (continuous), body mass index (continuous), family history of breast cancer in a first-degree relative (no, yes), race (NHW, African American, others), age at menarche (continuous), parity and age at first birth (nulliparous, 1–2 children and <25 years at first birth, 1–2 children and 25–29 years at first birth, 1–2 children and ≥30 years at first birth, ≥3 children and <25 years at first birth, ≥3 children and ≥25 years at first birth); CI = confidence intervals, Ref = reference group, exp(β) = back-transformed beta coefficient.
Table 3.
Associations of coffee/tea intake with dense volume and non-dense volume in premenopausal women *.
Table 3.
Associations of coffee/tea intake with dense volume and non-dense volume in premenopausal women *.
| Frequency | Number | Dense Volume | Non-Dense Volume | ||
|---|---|---|---|---|---|
| exp(β) (95% CI) | p-Trend | exp(β) (95% CI) | p-Trend | ||
| Coffee | 0.05a | 0.34 | |||
| <1 time/week | 133 | Ref | Ref | ||
| 1 time/week | 22 | 0.97 (0.79, 1.19) | 0.96 (0.76, 1.20) | ||
| 2–6 times/week | 37 | 1.06 (0.90, 1.24) | 1.14 (0.95, 1.38) | ||
| 1 time/day | 85 | 1.06 (0.94, 1.20) | 1.03 (0.90, 1.19) | ||
| ≥1 time/day | 92 | 1.13 (1.01, 1.29) | 1.06 (0.92, 1.23) | ||
| Caffeinated tea | 0.53 | 0.75 | |||
| <1 time/week | 161 | Ref | Ref | ||
| 1 time/week | 63 | 0.92 (0.81, 1.05) | 0.98 (0.84, 1.14) | ||
| 2–6 times/week | 71 | 0.93 (0.82, 1.05) | 1.06 (0.92, 1.22) | ||
| ≥ 1 time/day | 61 | 0.99 (0.87, 1.12) | 0.99 (0.85, 1.16) | ||
| Decaffeinated tea | - | - | |||
| <1 time/week | 250 | Ref | Ref | ||
| ≥ 1 time/week | 96 | 1.03 (0.93, 1.15) | 0.88 (0.78, 1.00) | ||
* Adjusted for age (continuous), body mass index (continuous), family history of breast cancer in a first-degree relative (no, yes), race (NHW, African American, others), age at menarche (continuous), parity and age at first birth (nulliparous, 1–2 children and <25 years at first birth, 1–2 children and 25–29 years at first birth, 1–2 children and ≥30 years at first birth, ≥3 children and <25 years at first birth, ≥3 children and ≥25 years at first birth); significant coefficients and p trend values are in bold print. CI = confidence intervals, Ref = reference group, exp(β) = back-transformed beta coefficient. a p-trend value is 0.049.
Table 4.
Associations of coffee/tea intake with volumetric percent density stratified by race *.
| Frequency | NHW | African American | p-Interaction a | ||||
|---|---|---|---|---|---|---|---|
| Number | exp(β) (95% CI) | p-Trend | Number | exp(β) (95% CI) | p-Trend | ||
| Coffee | 0.86 | 0.77 | 0.30 | ||||
| <1 time/week | 75 | Ref | 52 | Ref | |||
| 1 time/week | 5 | 0.79 (0.51, 1.24) | 14 | 1.11 (0.86, 1.44) | |||
| 2–6 times/week | 20 | 1.02 (0.80, 1.29) | 17 | 0.83 (0.65, 1.05) | |||
| 1 time/day | 62 | 0.96 (0.81, 1.13) | 18 | 0.98 (0.77, 1.26) | |||
| ≥1 time/day | 79 | 1.02 (0.87, 1.20) | 8 | 1.10 (0.79, 1.55) | |||
| Caffeinated tea | 0.57 | 0.38 | 0.06 | ||||
| <1 time/week | 101 | Ref | 55 | Ref | |||
| 1 time/week | 42 | 1.04 (0.87, 1.24) | 16 | 0.71 (0.55, 0.91) | |||
| 2–6 times/week | 48 | 0.96 (0.81, 1.13) | 22 | 0.82 (0.66, 1.01) | |||
| ≥1 time/day | 42 | 0.97 (0.81, 1.15) | 12 | 0.90 (0.79, 1.38) | |||
| Decaffeinated tea | - | 0.02 | |||||
| <1 time/week | 157 | Ref | 84 | Ref | - | ||
| ≥1 time/week | 71 | 1.22 (1.06, 1.39) | 19 | 0.93 (0.73, 1.17) | |||
* Adjusted for age (continuous), body mass index (continuous), family history of breast cancer in a first-degree relative (no, yes), parity and age at first birth (nulliparous, 1–2 children and <25 years at first birth, 1–2 children and 25–29 years at first birth, 1–2 children and ≥30 years at first birth, ≥3 children and <25 years at first birth, ≥3 children and ≥25 years at first birth); significant coefficients and p trend values are in bold print. CI = confidence intervals, Ref = reference group, exp(β) = back-transformed beta coefficient. a Testing for interaction for race (NHW and African American) and coffee/tea intake was performed based on the Wald test.
Table 5.
Associations of coffee/tea intake with dense volume and non-dense volume stratified by race *.
Table 5.
Associations of coffee/tea intake with dense volume and non-dense volume stratified by race *.
| Dense Volume | Non-dense Volume | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NHW | African American | p-Int a | NHW | African American | p-Int a | |||||||||
| N | exp(β) (95% CI) | p-trend | N | exp(β) (95% CI) | p-Trend | N | exp(β) (95% CI) | p-Trend | N | exp(β) (95% CI) | p-Trend | |||
| Coffee | 0.21 | 0.04 | 0.02 | 0.49 | 0.05 b | 0.25 | ||||||||
| <1 time/week | 75 | Ref | 52 | Ref | 75 | Ref | 52 | Ref | ||||||
| 1 time/week | 5 | 0.91 (0.60, 1.39) | 14 | 0.99 (0.78, 1.26) | 5 | 1.17 (0.73, 1.86) | 14 | 0.87 (0.66, 1.17) | ||||||
| 2–6 times/week | 20 | 1.25 (0.99, 1.57) | 17 | 0.90 (0.72, 1.11) | 20 | 1.23 (0.96, 1.58) | 17 | 1.11 (0.85, 1.44) | ||||||
| 1 time/day | 62 | 1.05 (0.90, 1.23) | 18 | 1.17 (0.94, 1.46) | 62 | 1.03 (0.87, 1.23) | 18 | 1.18 (0.90, 1.54) | ||||||
| ≥1 time/day | 79 | 1.10 (0.95, 1.29) | 8 | 1.52 (1.11, 2.07) | 79 | 1.07 (0.91, 1.27) | 8 | 1.39 (0.96, 2.01) | ||||||
| Caffeinated tea | 0.79 | 0.50 | 0.92 | 0.40 | 0.75 | 0.14 | ||||||||
| <1 time/week | 101 | Ref | 55 | Ref | 101 | Ref | 55 | Ref | ||||||
| 1 time/week | 42 | 0.98 (0.82, 1.16) | 16 | 0.83 (0.66, 1.04) | 42 | 0.97 (0.80, 1.17) | 16 | 1.21 (0.91, 1.61) | ||||||
| 2–6 times/week | 48 | 0.95 (0.81, 1.12) | 22 | 0.94 (0.77, 1.14) | 48 | 1.03 (0.86, 1.24) | 22 | 1.17 (0.92, 1.49) | ||||||
| ≥ 1 time/day | 42 | 0.99 (0.84, 1.18) | 12 | 0.95 (0.73, 2.07) | 42 | 1.08 (0.90, 1.31) | 12 | 0.90 (0.65, 1.24) | ||||||
| Decaffeinated tea | - | 0.98 | - | - | 0.01 | |||||||||
| <1 time/week | 157 | Ref | 84 | Ref | 157 | Ref | 84 | Ref | ||||||
| ≥1 time/week | 71 | 1.05 (0.92, 1.20) | 19 | 1.06 (0.86, 1.31) | 71 | 0.81 (0.70, 0.93) | 19 | 1.15 (0.89, 1.48) | ||||||
* Adjusted for age (continuous), body mass index (continuous), family history of breast cancer in a first-degree relative (no, yes), parity and age at first birth (nulliparous, 1–2 children and <25 years at first birth, 1–2 children and 25–29 years at first birth, 1–2 children and ≥30 years at first birth, ≥3 children and <25 years at first birth, ≥3 children and ≥25 years at first birth); significant coefficients and p trend values are in bold print. N = number, CI = confidence intervals, Ref = reference group, exp(β) = back-transformed beta coefficient. a p-int = p-interaction. Testing for interaction for race (NHW and African American) and coffee/tea intake was based on the Wald test. b p-trend value is 0.047.
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Odama, A.M.; Otti, V.; Xu, S.; Adebayo, O.; Toriola, A.T. Coffee, Tea, and Mammographic Breast Density in Premenopausal Women. Nutrients 2021, 13, 3852. https://doi.org/10.3390/nu13113852
AMA Style
Odama AM, Otti V, Xu S, Adebayo O, Toriola AT. Coffee, Tea, and Mammographic Breast Density in Premenopausal Women. Nutrients. 2021; 13(11):3852. https://doi.org/10.3390/nu13113852
Chicago/Turabian StyleOdama, Adashi Margaret, Valerie Otti, Shuai Xu, Olamide Adebayo, and Adetunji T. Toriola. 2021. "Coffee, Tea, and Mammographic Breast Density in Premenopausal Women" Nutrients 13, no. 11: 3852. https://doi.org/10.3390/nu13113852
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