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. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: Int J Cancer. 2013 Mar 13;133(3):680–686. doi: 10.1002/ijc.28027

Calcium intake is not related to breast cancer risk among Singapore Chinese women

Jingmei Li 1, Woon-Puay Koh 2,3, Ai-Zhen Jin 4, Jian-Min Yuan 5,6, Mimi C Yu 7, Lesley M Butler 5,6
PMCID: PMC3727233  NIHMSID: NIHMS435342  PMID: 23319293

Abstract

There is experimental evidence that calcium protects against breast cancer development. Prospective epidemiologic studies supporting a protective effect of calcium on breast cancer risk have mainly been limited to Western populations. We examined the association between calcium intake and breast cancer risk in the Singapore Chinese Health Study, a large population-based prospective cohort. Calcium intake and supplement use was assessed by in-person interviewer using a validated food frequency questionnaire. After a mean follow-up of 14.2±3.5 years, 823 cohort participants developed invasive breast cancer. Multivariate proportional hazards regression models were fitted to examine the associations between calcium intake and breast cancer risk. Vegetables were the primary food source of calcium in this study population, followed by dairy products, grains and soy foods. Calcium intake was not associated with breast cancer risk, comparing highest quartile (>345.6 mg/1000 kcal/day) to lowest quartile (<204.5mg/1000 kcal/day) of intake. There was no evidence of effect modification by menopausal status, body mass index, dietary vitamin D or stage of disease at diagnosis. Our findings do not support a hypothesis for calcium in breast cancer chemoprevention, contrary to findings from previous studies among Western populations with higher calcium intake primarily from dairy products and supplements.

Keywords: calcium intake, breast cancer, Asian, Chinese, cohort studies

Introduction

Calcium may play a protective role in breast carcinogenesis because of its importance in regulating cell proliferation, differentiation, and apoptosis12. Calcium has anti-proliferative and pro-differentiation effects on mammary cells3 and can inhibit the development of mammary tumors in mice3. Although much of the evidence suggesting that calcium protects against cancer relies on its interrelation with vitamin D, experimental evidence from several model systems suggests that an increased level of calcium alone is a sufficient signal to induce apoptosis4.

Epidemiologic studies conducted mostly among Western populations support an inverse association between calcium intake and breast cancer risk. A meta-analysis by Chen et al.5 using results from six prospective cohort and nine case-control studies on calcium intake and breast cancer risk reported a statistically significant 19% reduction in breast cancer risk when comparing those in the group with highest (>1000 mg/day) versus lowest (<500–600mg/day) calcium intake. With the exception of one case-control study conducted in Shangahi6, all of the studies in the meta-analysis were conducted among US or European populations. These findings are further supported by prospective results from a study of serum calcium levels and breast cancer risk among premenopausal women7. In Western populations, dairy products are the main dietary source of calcium, and the prevalence of calcium supplement use is higher than in Asian populations811. In addition, dairy products in many Western populations are fortified with vitamin D, thus making it difficult to establish whether the observed inverse associations between calcium and breast cancer in these populations are independent of vitamin D intake1213.

Asian populations have historically had among the lowest incidence of breast cancer worldwide until recently1417 and also consume diets relatively low in calcium18. Heretofore, no prospective studies in Asian populations have evaluated calcium-breast cancer associations. Of the three case-control studies conducted to date among Asians6, 1920, two studies supported statistically significant protective effects of overall calcium on breast cancer risk1920. These prior studies were limited by the retrospective design and hospital-based controls1920, thus increasing the potential for spurious associations due in part to differential recall and selection bias. In order to address these limitations, we used a prospective database with detailed dietary and vitamin supplement information among a Chinese population in Singapore, to test the hypothesis that calcium intake is associated with a decreased risk of breast cancer.

Methods

Study population

The Singapore Chinese Health Study is a population-based prospective study initiated between 1993 and 1998, previously described in detail21. Briefly, the cohort consisted of 27,959 men and 35,298 women aged 45–74 years during the period of recruitment who were either permanent residents or citizens of Singapore and residing in government-built housing estates (86% of the population resided in such facilities during the recruitment period). We restricted the study to individuals belonging to the two major dialect groups of Chinese in Singapore: the Hokkiens and the Cantonese. Of those who were eligible, 85% agreed to participate. For the analyses in this study, 34,028 women were eligible after exclusion of subjects with a previous diagnosis of invasive cancer at baseline. The study was approved by the Institutional Review Boards at the National University of Singapore and the University of Pittsburgh.

Identification of incident breast cancer cases and deaths among cohort members was accomplished by record linkage of the cohort database with respective databases from the population-based Singapore Cancer Registry and the Singapore Registry of Births and Deaths. The linkage was performed using a unique national identification number given to all Singaporeans. The nationwide cancer registry has been in place since 1968 and has been shown to be comprehensive in its recording of cancer cases22. There were 823 incident cases of invasive breast cancer diagnosed on or before December 31, 2010. To date, only 47 cohort participants were lost to follow-up due to migration out of Singapore.

Baseline questionnaire and assessment of calcium intake

At recruitment, a face-to-face interview was conducted in the subject’s home by a trained interviewer who used a structured questionnaire. Information was collected on demographics, height, weight, lifetime use of tobacco, usual physical activity, menstrual and reproductive history, medical history, and familial history of cancer. The questionnaire included a validated dietary component (including questions about coffee, tea, and alcoholic beverages) that assessed current intake patterns23. Each subject was asked to estimate her usual intake frequencies and portion sizes for 165 food and beverage items during the past 12 months. Study participants were also asked about supplement use with the following question, “Did you take any vitamins or minerals at least once each week during the last year?” If the participant responded “Yes,” then the interviewer asked to view the supplement bottle(s) in order to record the dose of each vitamin and/or mineral.

Average daily intake of roughly 100 nutrient and non-nutrient compounds, including calcium, were computed for each study subject based on the Singapore Food Composition Database23. Our calculation of the food sources as percentages of dietary calcium in the study population was based on a series of 24-hour dietary recall interviews, as previously described23. Specifically, as part of the FFQ validation study, 24-hour diet recall data were collected from 1,022 (425 men and 597 women) randomly chosen cohort subjects23. For calcium intake, the correlation coefficients between 24-hour recalls and FFQ responses were between 0.51 and 0.61 for the four gender-dialect subgroups. The percentage of contribution of calcium from a specified food item or food group was calculated as the ratio of Ai/B, where Ai = dietary calcium from a single food (i) summed across all subjects who consumed that food, and B = total dietary calcium summed across the 1,022 subjects.

Statistical methods

Person-years of follow-up time were calculated from the date of study recruitment until the date of breast cancer diagnosis, death, migration out of Singapore, or end of follow-up (December 31, 2010), whichever occurred first. As of December 31, 2010, only 47 subjects from this cohort were known to be lost to follow-up due to migration out of Singapore or for other reasons. After testing the validity of the proportional hazards assumption, Cox proportional hazards regression models24 were fitted to examine the associations between calcium intake (mg per 1,000 kcal per day) in quartiles and breast cancer risk. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using the SAS PROC PHREG procedure25. The following covariates were included in the final models to adjust for potential confounding: age at interview (year), dialect group (Cantonese, Hokkien), interview year (1993–1995, 1996–1998), education (no formal education/primary school, secondary school/or higher), family history of breast cancer (yes/no first degree relative), age when menstrual period became regular (<13, 13–14, 15–16, ≥17 years, never regular), number of live births (0, 1–2, 3–4, ≥5), and body mass index (BMI, kg/m2). These variables were included as covariates in the adjusted models because they were either associated with calcium intake or with breast cancer risk in our data. To adjust for energy intake, all nutrient variables were expressed in weight unit per 1000 kcal or percentage of total energy. There were no important differences between the hazard ratios and 95% confidence intervals for calcium and breast cancer risk that were calculated from models adjusted only for age at interview and those calculated from models adjusted for all covariates, so we only present results for the covariate-adjusted models. P values for linear trend tests for calcium–breast cancer associations were obtained by treating quartiles of calcium intake as an ordinal variable (0, 1, 2 and 3).

In addition, we used stratified analyses to examine whether the association between calcium and breast cancer risk varied by disease stage (early or advanced), menopausal status at baseline, BMI (below or above median, 23.2 kg/m2) and dietary intake of vitamin D (below or above median, 83.2 IU/day). All analyses were conducted using SAS version 9.1 (SAS Institute Inc.). All reported P values were two-sided and considered statistically significant if less than 0.05.

Results

Table 1 shows the distributions of baseline characteristics of 34,028 eligible female participants by quartiles of total calcium intake. Compared to women with low calcium intake, women with increasing calcium intake were younger, more educated, more likely to use dietary supplements and had higher daily energy intake. Overall, the frequency of calcium supplement use was 4.3% for any weekly use. The median daily intakes of the major food sources of calcium increased with increasing quartile of total calcium intake. The major food source of calcium in our study population was vegetables, especially green leafy vegetables, followed by dairy products, grains and soy foods (Table 2).

Table 1.

Distribution of study population characteristics by quartiles (Q) of total calcium intake

Calcium intake (mg/day) by quartiles *
Q1 Q2 Q3 Q4
Person-years 120,718 122,279 121,273 120,034
Median age (IQR), year 58 (14) 55 (13) 54 (12) 54 (12)
% with none or primary education only 88.34 81.43 77.23 70.12
Median BMI (IQR), kg/m2 23.3 (3.1) 23.3 (3.3) 23.2 (3.5) 23.1 (3.6)
% premenopausal 22.3 29.0 31.2 30.2
% nulliparous 6.3 6.2 7.2 8.4
% weekly any supplement use 1.7 3.4 5.8 18.8
% weekly calcium supplement use 0.2 1.0 2.2 14.1
Median (IQR) daily energy intake (kcal) 984.6 (323.2) 1270.2 (334.5) 1486.6 (466.4) 1706.2 (652.4)
Median (IQR) daily intake§
    Calcium from food only (mg/1,000 kcal) 183.9 (57.4) 232.0 (61.1) 281.7 (93.3) 389.7 (145.2)
    Calcium from food and supplements (mg/1,000 kcal) 184.0 (57.4) 232.8 (61.8) 283.5 (94.5) 411.7 (158.5)
    Total vegetables (g) 64.3 (38.5) 94.8 (49.2) 116.1 (68.7) 133.7 (94.3)
    Dairy products (g) 2.4 (11.5) 15.1 (25.4) 37.5 (81.4) 252.8 (185.1)
    Total grain products (g) 397.4 (188.9) 459.1 (200.9) 478.6 (214.4) 499.7 (236.3)
    Soy foods (g) 46.5 (43.5) 81.5 (62.9) 113.6 (99.5) 134.1 (137.7)
*

Calcium intake from combined food and supplement sources.

Interquartile range, IQR

Supplement use was defined by Yes/No responses to the question, “Did you take any vitamins or minerals at least once each week during the last year?”

§

Intake was based on food sources only, unless otherwise noted.

Table 2.

Daily intake, calcium concentration, and percent contribution to total calcium for selected food groups

Food item/group Median
daily intake
(g)*
Median mg
calcium per g
food group*
Percent contribution
of each food group
to total calcium
intake
Total vegetables 97.2 3.5 19.3
    Cruciferous vegetables 36.9 9.3 9.3
Dairy products 20.4 15.0 17.3
All grain products 459.4 0.8 14.7
    Bread 25.5 14.3 5.3
    Noodles 38.5 9.3 4.7
    Rice 335.4 1.1 3.0
All soyfoods 85.5 4.0 11.8
Total fruit 158.7 2.3 7.3
All fish and shellfish 47.8 7.5 6.2
*

These values were derived from intake among all female cohort subjects.

The percent contribution to total calcium intake was calculated using 24-hour dietary recalls among a randomly selected subset of cohort subjects (see Methods).

During an average follow-up of 14.2±3.5 years (484,303 person-years), 823 cohort participants without a prior cancer diagnosis developed invasive breast cancer. Calcium intake was not associated with breast cancer risk among Singaporean Chinese women (Table 3). Regardless of sources (food-only or food and dietary supplement), there remained a null association with greater intake and breast cancer risk. No association between calcium and breast cancer risk was seen either in subgroups of women stratified by menopausal status, median BMI, or median vitamin D intake (Table 4). Additional analysis for subgroups of women stratified by tertile or quartile of vitamin D intake did not alter the null association between calcium and breast cancer risk (data not shown). A null association persisted for both localized and advanced stages of breast cancer (data not shown).

Table 3.

Hazard ratios (HR) and 95% confidence intervals (CI) for quartiles of calcium intake (mg/1000kcal/day) and breast cancer risk

Total cases, n Person-years Adjusted HR 95% CI
Total calcium (from food and supplements)
    <204.5 186 122,220 1.00 Reference
    204.5–257.0 234 122,721 1.21 1.00–1.47
    257.1–345.6 196 120,980 1.00 0.82–1.22
    >345.6 207 118,382 1.04 0.85–1.27
P for trend 0.73
Calcium from food only
    <203.2 185 121,996 1.00 Reference
    203.2–254.4 237 122,511 1.24 1.02–1.50
    254.5–334.3 202 120,985 1.03 0.84–1.26
    >334.3 199 118,811 1.01 0.82–1.24
P for trend 0.57

Adjusted models included variables for: age at interview (year), dialect group (Cantonese, Hokkien), interview year (1993–1995, 1996–1998), education (no formal education/primary school, secondary school/or higher), family history of breast cancer (yes/no first degree relative), age when period became regular (<13, 13–14, 15–16, ≥17 years, never regular), number of live births (0, 1–2, 3–4, ≥5), and body mass index (kg/m2).

Table 4.

Hazard ratios (HR) and 95% confidence intervals (CI) for calcium intake (mg/1000kcal/day) and breast cancer risk stratified by selected covariates

Total calcium P trend

Q1 Q2 Q3 Q4
Premenopausal
    Cases, n 52 74 75 54
    Person-years 32,040 37,561 40,195 32,432
    HR (95% CI)* 1.00 (ref) 1.15 (0.81–1.64) 1.07 (0.75–1.53) 0.87 (0.59–1.28) 0.40
Postmenopausal
    Cases, n 134 160 121 153
    Person-years 90,163 85,128 80,753 85,932
    HR (95% CI)* 1.00 (ref) 1.23 (0.98–1.55) 0.96 (0.75–1.23) 1.09 (0.86–1.38) 0.99
BMI (<23.2 kg/m2)
    Cases, n 84 104 89 104
    Person-years 54,289 57,001 57,116 62,919
    HR (95% CI)* 1.00 (ref) 1.12 (0.84–1.50) 0.92 (0.68–1.24) 0.93 (0.69–1.24) 0.33
BMI (≥23.2 kg/m2)
    Cases, n 102 130 107 103
    Person-years 67,931 65,720 63,864 55,463
    HR (95% CI)* 1.00 (ref) 1.29 (0.99–1.67) 1.07 (0.81–1.40) 1.14 (0.86–1.50) 0.69
Vitamin D (<83.2 IU/day)
    Cases, n 175 202 151 43
    Person-years 112,816 106,252 90,024 25,692
    HR (95% CI) 1.00 (ref) 1.17 (0.95–1.43) 0.99 (0.79–1.23) 0.91 (0.65–1.28) 0.58
Vitamin D (≥83.2 IU/day)
    Cases, n 11 32 45 164
    Person-years 9,404 16,469 30,956 92,690
    HR (95% CI) 1.00 (ref) 1.64 (0.83–3.26) 1.22 (0.63–2.37) 1.45 (0.78–2.67) 0.51
*

Adjusted models included variables for: age at interview (year), dialect group (Cantonese, Hokkien), interview year (1993–1995, 1996–1998), education (no formal education/primary school, secondary school/or higher), family history of breast cancer (yes/no first degree relative), age when period became regular (<13,13–14,15–16,≥17 years, never regular) and number of live births (0,1–2,3–4, ≥5).

Models were additionally adjusted for body mass index (kg/m2).

All P for interaction values were >0.05.

Discussion

In these prospective analyses we did not provide evidence for a protective effect of calcium intake on breast cancer risk among Chinese women in Singapore. There was no association with breast cancer risk regardless of whether we evaluated calcium intake from food and supplement sources or from food sources alone. The lack of an association between calcium intake and breast cancer risk persisted after stratifying the data by menopausal status, BMI or vitamin D intake. Our finding does not support experimental evidence or recent findings from a meta-analysis with studies mostly from Western populations suggesting that calcium may protect against the development of breast cancer. The recommended daily allowance for calcium intake for adults over age 50 is 1000 mg/day in Singapore26 and 1200 mg/day in the United States27. It is possible that the absence of association between total calcium intake and overall breast cancer risk in our study may be due to the relatively low calcium intake in the Singaporean Chinese population, where 72% of the population had total calcium intake below 500 mg/day (median 353 mg/day). In a recent meta-analysis, a linear dose-response relationship between increasing calcium intake and lower breast cancer risk was reported, with the lowest risk observed for intake around 600 mg/day28. It has been suggested that the actual amount of calcium intake needed to observe beneficial health effects may be greater in populations with diets high in sodium and/or animal protein29. High levels of calcium intake are typical in Western populations, and a protective effect against breast cancer development was observed for calcium intake levels of at least 800 and 1366 mg/day in the Nurses’ Health Study12 and Women’s Health Study30, respectively. The daily consumption of calcium among Singapore Chinese women was relatively low compared with other female Asian populations with median intakes around 500 mg/day6, 1920. Thus, it is possible that the levels of calcium intake among Chinese women in Singapore were too low to exert a protective effect on breast cancer risk.

We considered whether our study population lacked a wide enough range of calcium intake in order for us to have the statistical power to observe an association with breast cancer risk. However, in our study, the daily median calcium intake in the highest quartile was 2.5 fold that of the lowest quartile, and this was similar to the range reported for two prospective studies in the US. For example, the range of calcium intake was approximately 2.5 and 2.2 fold in the Nurses’ Health Study12 and Women’s Health Study30, respectively.

It is also possible that differences in the dominant dietary patterns between Asian and Western populations may have contributed to the contrasting findings for our study compared with previous prospective studies in the US12, 31 and Western Europe1, 3233. For example, perhaps the observed protective effect of calcium on breast cancer risk is actually driven by certain calcium food sources. More than one study has reported that only calcium intake from dairy products was found to be inversely associated with breast cancer risk1213. We did not observe an association between greater intake of dairy products and breast cancer risk (HR=0.98; 95% CI: 0.80, 1.19), comparing fourth to first quartiles. Contributing more than two-thirds of the daily total calcium intake requirement34, dairy products are the major food source of calcium in Western populations, among which most previous epidemiologic studies were conducted. In contrast, dairy products constituted only 17.3% of the total calcium intake among Singaporean Chinese women. Consumption of dairy products in our cohort was low, and only 29% of the cohort reported drinking a glass of milk (250 mL) at least once a week.

The previous reports of an inverse association between dairy intake and breast cancer risk may have been confounded by vitamin D, a factor previously shown to be protective for breast cancer in other studies35, but not in our data (HR=0.92; 95% CI = 0.75–1.12, comparing fourth versus first quartile of dietary vitamin D). The milk consumed in our population is not likely to contain vitamin D. While vitamin D-fortified products are sold in Singapore, the most popular brand of milk is not fortified. However, in the two previous studies that reported inverse associations with dairy intake, one was conducted among a US population12, where a vitamin D-fortification policy exists, while the other was among a Norwegian population13, where no policy exists.

Our results of a null association between calcium and breast cancer risk are in contrast to those reported from the three previous case-controls studies among Asian populations. Kawase et al.20 reported a statistically significant trend (P=0.022) of increasing quartiles of calcium intake and decreasing breast cancer risk among Japanese women, where highest versus lowest intake was associated with a 17% decrease in risk. Among women in Shanghai, China, a statistically non-significant inverse association was reported comparing highest to lowest deciles of total calcium intake (OR= 0.74; 95% CI = 0.46–1.20)6. In the Guangdong, China study, Zhang et al.19 observed a statistically significant inverse association between dietary calcium intake and breast cancer risk, with an adjusted OR (95% CI) of 0.35 (0.22–0.56) for the highest (≥531 mg/day) versus the lowest quartile (<274mg/day).

The equivocal reports on the associations between calcium intake and breast cancer risk among Asians could be due in part due to the different study designs used. All three other studies performed to date on Asian populations were retrospective case-control studies. When the analysis was stratified by study design in Chen et al.’s meta-analysis on calcium intake and breast cancer risk5, the inverse association was most evident among case-control studies. The pooled estimates comparing the highest to the lowest quantiles of calcium intake in the nine case-control studies was 0.75 (95% CI = 0.63–0.88) under the random-effects model, as opposed to the weaker, statistically non-significant pooled estimate (HR=0.87; 95% CI = 0.75–1.00) based on six prospective cohort studies. Given that the prospective results are not influenced by differential recall or selection bias, the prospective results are likely to be more closely aligned with the true underlying association.

Together, calcium and vitamin D are hypothesized to have synergistic, metabolically interrelated effects that protect against the development of breast cancer18. Calcium has been reported to at least partially exert its anticarcinogenic effects through vitamin D. For example, calcium is one of the key mediators of apoptosis induced by vitamin D compounds in breast cancer cells36. In addition, an interaction between calcium and vitamin D has been observed in the prevention of cancers of the colon and rectum in some studies3740. However, observational studies, including ours, do not support any effect modification by vitamin D on the possible inverse association between calcium and breast cancer risk20, 4143. The lack of an interaction between calcium and vitamin D was also reported in a four-year, population-based intervention trial in which subjects were randomly assigned to receive 1400–1500 mg/day supplemental calcium only, supplemental calcium plus 1100 IU vitamin D3 per day, or placebo44. Thus, the totality of human data suggest that if there is a protective effect of calcium on breast cancer development, it is likely to be independent of vitamin D intake. Nonetheless, in spite of the plentiful sunshine in the equatorial region that includes Singapore, vitamin D deficiency is widespread in part due to sociocultural factors4546, and the inadequacy of this mineral in the general population could potentially obscure a relationship between calcium and breast cancer.

We hypothesized that calcium would be most strongly associated with lower breast cancer risk among those with a lower BMI, because there is evidence that smaller sized individuals have greater net absorption of calcium4749. We have previously reported a 2-fold increase in prostate cancer risk comparing the highest versus the lowest quartiles of total calcium intake in the same cohort among men with less than median BMI50. However, in the current analyses, stratification by median BMI did not reveal a protective effect of calcium intake on breast cancer risk. It is possible that gender is also a relevant characteristic for differences in calcium absorption by body size, but this has not yet been evaluated.

To our knowledge this is the first prospective study assessing the association between total calcium intake and breast cancer risk in an Asian population. The strengths of this study include the high participant response rate, small (<1%) loss to follow-up, data obtained through a detailed face-to-face interview that included a validated 165-item food frequency questionnaire that was developed for this study population and captured both food and supplement sources of calcium intake. Limitations of our analyses included the relatively low intake of calcium in our study population. Another limitation was our inability to account for changes in dietary intake that may have occurred during follow up, because that dietary information was collected only at baseline. In stratified analyses by duration of follow-up, there remained no association between calcium intake and breast cancer risk, suggesting that greater misclassification of calcium intake with longer follow-up is not a likely explanation for our null finding.

In summary, we did not observe a reduction in breast cancer risk with increasing total calcium intake among Chinese women in Singapore. Our finding for a null association between calcium and breast cancer risk persisted in stratified analyses by menopausal status, BMI or vitamin D intake. It remains a possibility that calcium may protect against breast cancer, but that the level of intake needed is higher than that present in populations with low dairy intake and low supplement use.

Novelty: There is evidence linking calcium intake to a reduced risk of breast cancer. However, prospective studies have mainly been limited to Western populations. We examined the association between calcium intake and breast cancer risk in the Singapore Chinese Health Study, a large population-based prospective cohort. To our knowledge this is the first prospective study assessing the association between calcium intake and breast cancer risk in an Asian population.

Impact: Novel prospective analyses among an Asian population do not support a protective effect of calcium intake on breast cancer risk.

Acknowledgments

This study was supported by the National Institutes of Health, USA (NCI RO1 CA55069, R35 CA53890, R01 CA80205, and R01 CA144034). JL was supported by the Agency for Science, Technology and Research (A*STAR). We thank Siew-Hong Low of the National University of Singapore for supervising the field work of the Singapore Chinese Health Study, and Kazuko Arakawa and Renwei Wang for the development and management of the cohort study database. We also thank the Ministry of Health in Singapore for assistance with the identification of breast cancer cases and mortality via database linkages.

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