Calcium, Vitamin D, Dairy Products, and Mortality Among Colorectal Cancer Survivors: The Cancer Prevention Study-II Nutrition Cohort
Publication: Journal of Clinical Oncology
Abstract
Purpose
Higher calcium, vitamin D, and dairy product intakes are associated with lower colorectal cancer incidence, but their impacts on colorectal cancer survival are unclear. We evaluated associations of calcium, vitamin D, and dairy product intakes before and after colorectal cancer diagnosis with all-cause and colorectal cancer-specific mortality among colorectal cancer patients.
Patients and Methods
This analysis included 2,284 participants in a prospective cohort who were diagnosed with invasive, nonmetastatic colorectal cancer after baseline (1992 or 1993) and up to 2009. Mortality follow-up was through 2010. Prediagnosis risk factor information was collected on the baseline questionnaire. Postdiagnosis information was collected via questionnaires in 1999 and 2003 and was available for 1,111 patients.
Results
A total of 949 participants with colorectal cancer died during follow-up, including 408 from colorectal cancer. In multivariable-adjusted Cox proportional hazards regression models, postdiagnosis total calcium intake was inversely associated with all-cause mortality (relative risk [RR] for those in the highest relative to the lowest quartiles, 0.72; 95% CI, 0.53-0.98; Ptrend = .02) and associated with marginally statistically significant reduced colorectal cancer-specific mortality (RR, 0.59; 95% CI, 0.33 to 1.05; Ptrend = .01). An inverse association with all-cause mortality was also observed for postdiagnosis milk intake (RR, 0.72; 95% CI, 0.55 to 0.94; Ptrend = .02), but not vitamin D intake. Prediagnosis calcium, vitamin D, and dairy product intakes were not associated with any mortality outcomes.
Conclusion
Higher postdiagnosis intakes of total calcium and milk may be associated with lower risk of death among patients with nonmetastatic colorectal cancer.
Introduction
The overall 5-year relative survival for colorectal cancer is 64% in the United States but decreases to 12% for distant metastatic disease.1 The associations of dietary factors with colorectal cancer incidence have been extensively reported,2 but their roles for colorectal cancer survival are largely unknown.3 Current dietary guidelines for cancer survivors are primarily based on incidence studies.4 Empirical knowledge of modifiable prognostic factors, including diet, for patients with colorectal cancer is needed for the more than 3.5 million colorectal cancer survivors worldwide.5
Higher intakes of calcium, vitamin D, and dairy products are generally associated with lower risk of colorectal cancer incidence in observational studies.6,7 In addition, a major randomized, clinical trial of 1,200 mg of supplemental calcium versus placebo among 930 colorectal adenoma patients reported a 19% reduced risk of adenoma recurrence.8 In contrast, the Women's Health Initiative clinical trial reported no effect of calcium plus vitamin D supplementation on colorectal cancer incidence,9–11 but suggestive benefits were observed among those not taking personal calcium or vitamin D supplements12 and those not concurrently randomly assigned to estrogen therapies.13 Two studies reported null associations of prediagnostic calcium intake with colorectal cancer survival.14,15 The main circulating biomarker of vitamin D, 25(OH)D, was associated with lower risk of mortality among patients with colorectal cancer.16–19 To our knowledge, no study has examined whether total dairy or milk are associated with survival among patients with colorectal cancer. We investigated associations of pre- and postdiagnosis calcium (total, dietary, and supplemental), vitamin D (total and dietary), and dairy product (total and milk only) intakes with all-cause and colorectal cancer–specific mortality in a prospective study of men and women diagnosed with invasive, nonmetastatic colorectal cancer.
Patients and Methods
Study Cohort
Men and women in this study were selected from among the 184,000 participants in the Cancer Prevention Study II (CPS-II) Nutrition Cohort, a prospective study of cancer incidence that began in 1992.20 A 10-page, self-administered questionnaire was used to collect information at baseline regarding demographics, medical history, physical activity, body size, cancer screening and early detection, diet, and other factors. Follow-up questionnaires were sent to participants biennially, beginning in 1997, to update exposure information and to learn of new cancer diagnoses. The CPS-II Nutrition Cohort is approved by the Institutional Review Board of Emory University.
By the end of incidence follow-up on June 30, 2009, 3,832 of the 181,293 participants who had no personal history of the disease at baseline had been diagnosed with invasive colon or rectal cancer. Of these 3,832 patients with colorectal cancer, 2,188 were first self-reported on a follow-up questionnaire and then verified by review of medical records, and 865 patients had their diagnoses confirmed after self-report via linkage with state cancer registries. An additional 779 patients were initially identified as cancer deaths through linkage to the National Death Index (NDI)21; among those 779 patients, 531 colorectal cancer diagnoses were confirmed, either through linkage with state cancer registries (n = 529) or by examination of medical records (n = 2).
Among the 3,832 patients with colorectal cancer, the following exclusions were applied: deaths determined through NDI that were not verified through medical records or cancer registries (n = 248), prevalent cancers (except for nonmelanoma skin cancer) at baseline (n = 387), implausible diagnosis date (n = 11), missing or unknown stage at diagnosis (n = 136), TNM summary stage IV or distant SEER stage at diagnosis (n = 421), nonadenocarcinoma histology (n = 50), implausible death date (n = 2), and poor-quality dietary data at baseline (n = 293). We decided, a priori, to exclude patients with distant metastatic disease, consistent with previous studies from this cohort,22–25 because the 5-year relative survival in this group is so poor that it is unlikely that diet would substantially affect long-term mortality.
After exclusions, 2,284 participants (1,274 men and 1,010 women) were included in this analysis. Among them, 1,682 were diagnosed with colon cancer (International Classification of Diseases for Oncology [ICD-O]: C18.0, C18.2–C18.9) and 602 with rectal cancer (ICD-O: C19.9, C20.9). By SEER summary stage, 1,154 participants were diagnosed with localized disease (malignant tumors limited to the colon or rectum) while 1,130 participants had regional disease (tumors that spread to adjacent tissue or regional lymph nodes through the bowel wall).
Study Outcomes
All participants were followed through December 31, 2010 to ascertain their vital status and cause of death (if applicable) through linkage to the NDI. Cause of death was obtained for 99.3% of all known deaths in the cohort. The primary outcome in this study was all-cause mortality. The secondary outcome was mortality specifically resulting from colorectal cancer (International Classification of Diseases Ninth Revision [ICD-9]: 153, 154; International Classification of Diseases Tenth Revision [ICD-10]: C18, C19, C20), defined from the singular underlying cause of death from NDI records. Other major causes of death in this cohort include cardiovascular diseases, neurodegenerative disease, other types of cancer (primarily lung and pancreas cancer), and respiratory system diseases.
Pre- and Postdiagnosis Diet
Prediagnosis diet was assessed at baseline (1992 or 1993) using a modified brief Block Food Frequency Questionnaire (FFQ).20,26,27 Postdiagnosis diet, where available, was assessed in 1999 and 2003, using a modified Willett FFQ.20,28–30 Both FFQs used similar questions on usual intake of dairy foods (major sources of dietary calcium and vitamin D, calculated by summing up total servings of milk, yogurt, ice cream, and cheese) and on calcium supplements and multivitamins (the major source of supplemental vitamin D during this time period; Appendix Table A1). For patients diagnosed after baseline and before the date of the 1999 survey completion, the 1999 survey was used for postdiagnosis diet. For patients diagnosed after 1999 and before the date of the 2003 survey completion, the 2003 survey was used for postdiagnosis diet. No postdiagnosis diet data are available from participants who did not return an eligible 1999 or 2003 postdiagnosis survey or from participants who were diagnosed after 2003. Of the 2,284 patients included in the prediagnosis analysis, 1,111 (48.6%) reported postdiagnosis diet.
Statistical Analysis
Sex- and questionnaire-specific quartiles were created for total calcium (ie, diet plus supplements), dietary calcium, total vitamin D (ie, diet plus supplements), dietary vitamin D, dairy, and milk. Questionnaire-specific categories were created for supplemental calcium (three levels) among men and women combined on the basis of visually inspecting the distribution and selecting interpretable cutoff points.
We used multivariable Cox proportional hazards models to calculate relative risks (RRs) and 95% CIs. The underlying time axis for all Cox models was time since diagnosis. For prediagnosis models, person-time began on the date of diagnosis. For postdiagnosis models, we used delayed entry Cox models, wherein person-time started on the date they returned their postdiagnosis FFQ. In all analyses, person-time ended on the date of death or the end of follow-up (December 31, 2010), whichever came first. The proportional hazards assumption was evaluated for the main exposures with a likelihood ratio test by comparing models with and without an interaction term between an exposure and time; no violations were detected.
All analyses were adjusted for age at diagnosis and tumor stage at diagnosis by stratifying within models. For prediagnosis models, we chose a priori to adjust for sex and baseline energy intake, and we in addition adjusted for baseline total folate intake because it changed the RR estimates by approximately 10%. Other demographic, lifestyle, and clinical covariates were evaluated, but none changed the RR estimates by more than 10%. Covariates in the basic postdiagnosis models also included sex and postdiagnosis energy intake, and in addition included postdiagnostic total folate in the multivariable model, to be consistent with the prediagnosis models. Baseline dietary intakes were evaluated as covariates in corresponding postdiagnosis models but did not materially change the RRs, so they were excluded. For each model the linear trend between exposure and mortality risk was assessed using the Wald test and modeling exposure as a continuous variable.
In sensitivity analyses, we excluded participants with a history of diabetes, myocardial infarction, stroke at baseline, and death within 2 years of diagnosis. In addition, because treatment or serious illness may influence diet, we conducted sensitivity analyses excluding participants who completed FFQs within 1 year of diagnosis (1 year before diagnosis for prediagnostic models and 1 year after diagnosis for postdiagnosis models) and deaths within 2 years of the postdiagnosis questionnaire for postdiagnosis models. We tested for statistical interaction of each diet variable with age at diagnosis, sex, tumor stage, tumor sub-site, pre- or postdiagnosis body mass index, physical activity, total energy, and total folate intakes using likelihood ratio tests. All analyses were conducted using SAS version 9.3 (SAS Institute, Cary, NC).
Results
Participants were, on average, age 64 years at baseline and 73 years at diagnosis. Fifty-six percent of participants were men, and most reported their race as white. There were no differences across quartiles of prediagnostic total calcium intake in the distributions of year of diagnosis, sex, tumor stage, grade, sub-site, treatment, or history of hypertension, myocardial infarction, diabetes, and stroke (Table 1). High calcium consumers were slightly older, better educated, more physically active, leaner, more likely to use nonsteroidal anti-inflammatory drugs and postmenopausal hormones (women only), less likely to smoke, and more likely to have a healthier overall diet.
Characteristic | Quartile of Total Calcium Intake, mg/d* | P† | |||||||
---|---|---|---|---|---|---|---|---|---|
Q1 | Q2 | Q3 | Q4 | ||||||
No. | % | No. | % | No. | % | No. | % | ||
No. | 570 | 572 | 570 | 572 | |||||
Age at colorectal cancer diagnosis, years | < .01 | ||||||||
< 65 | 93 | 16.3 | 69 | 12.1 | 61 | 10.7 | 47 | 8.2 | |
65 to < 70 | 141 | 24.7 | 117 | 20.5 | 112 | 19.6 | 97 | 17.0 | |
70 to < 75 | 134 | 23.5 | 169 | 29.5 | 148 | 26.0 | 172 | 30.1 | |
75 to < 80 | 131 | 23.0 | 141 | 24.7 | 151 | 26.5 | 147 | 25.7 | |
≥ 80 | 71 | 12.5 | 76 | 13.3 | 98 | 17.2 | 109 | 19.1 | |
Year of colorectal cancer diagnosis | .95 | ||||||||
1992-1996 | 121 | 21.2 | 142 | 24.8 | 129 | 22.6 | 134 | 23.4 | |
1997-2000 | 173 | 30.4 | 165 | 28.8 | 167 | 29.3 | 175 | 30.6 | |
2001-2004 | 148 | 26.0 | 151 | 26.4 | 151 | 26.5 | 144 | 25.2 | |
2005-2009 | 128 | 22.5 | 114 | 19.9 | 123 | 21.6 | 119 | 20.8 | |
Sex | 1.00 | ||||||||
Male | 318 | 55.8 | 319 | 55.8 | 318 | 55.8 | 319 | 55.8 | |
Female | 252 | 44.2 | 253 | 44.2 | 252 | 44.2 | 253 | 44.2 | |
Race/ethnicity | .08 | ||||||||
White/white-Hispanic | 551 | 96.7 | 563 | 98.4 | 561 | 98.4 | 562 | 98.3 | |
Black/black-Hispanic | 11 | 1.9 | 6 | 1.0 | 6 | 1.1 | 2 | 0.3 | |
Other/missing | 8 | 1.4 | 3 | 0.5 | 3 | 0.5 | 8 | 1.4 | |
Education | < .01 | ||||||||
Less than high school | 60 | 10.5 | 35 | 6.1 | 29 | 5.1 | 34 | 5.9 | |
High school degree | 189 | 33.2 | 173 | 30.2 | 149 | 26.1 | 131 | 22.9 | |
Some college/trade school | 153 | 26.8 | 168 | 29.4 | 176 | 30.9 | 176 | 30.8 | |
College graduate | 164 | 28.8 | 193 | 33.7 | 215 | 37.7 | 228 | 39.9 | |
SEER summary stage | .29 | ||||||||
Localized | 294 | 51.6 | 302 | 52.8 | 270 | 47.4 | 288 | 50.3 | |
Regional | 276 | 48.4 | 270 | 47.2 | 300 | 52.6 | 284 | 49.7 | |
Tumor grade at diagnosis | .43 | ||||||||
Well differentiated | 68 | 11.9 | 68 | 11.9 | 73 | 12.8 | 69 | 12.1 | |
Moderately differentiated | 364 | 63.9 | 338 | 59.1 | 353 | 61.9 | 340 | 59.4 | |
Poorly differentiated | 74 | 13.0 | 108 | 18.9 | 92 | 16.1 | 107 | 18.7 | |
Undifferentiated | 7 | 1.2 | 7 | 1.2 | 9 | 1.6 | 6 | 1.0 | |
Colorectal cancer diagnosis site | .50 | ||||||||
Colon | 407 | 71.4 | 431 | 75.3 | 421 | 73.9 | 423 | 74.0 | |
Rectum | 163 | 28.6 | 141 | 24.7 | 149 | 26.1 | 149 | 26.0 | |
First course of cancer treatment | |||||||||
Surgery | .97 | ||||||||
No | 12 | 2.1 | 12 | 2.1 | 13 | 2.3 | 11 | 1.9 | |
Yes | 415 | 72.8 | 411 | 71.9 | 409 | 71.8 | 425 | 74.3 | |
Chemotherapy | .83 | ||||||||
No | 258 | 45.3 | 239 | 41.8 | 243 | 42.6 | 261 | 45.6 | |
Yes | 169 | 29.6 | 184 | 32.2 | 179 | 31.4 | 175 | 30.6 | |
Radiation | .79 | ||||||||
No | 386 | 67.7 | 386 | 67.5 | 373 | 65.4 | 395 | 69.1 | |
Yes | 41 | 7.2 | 37 | 6.5 | 49 | 8.6 | 41 | 7.2 | |
Family history of colorectal cancer in 1982 | .96 | ||||||||
No | 533 | 93.5 | 536 | 93.7 | 537 | 94.2 | 538 | 94.1 | |
Yes | 37 | 6.5 | 36 | 6.3 | 33 | 5.8 | 34 | 5.9 | |
History of diabetes | .84 | ||||||||
No | 520 | 91.2 | 513 | 89.7 | 517 | 90.7 | 519 | 90.7 | |
Yes | 50 | 8.8 | 59 | 10.3 | 53 | 9.3 | 53 | 9.3 | |
History of stroke | .58 | ||||||||
No | 558 | 97.9 | 557 | 97.4 | 561 | 98.4 | 557 | 97.4 | |
Yes | 12 | 2.1 | 15 | 2.6 | 9 | 1.6 | 15 | 2.6 | |
History of myocardial infarction | .93 | ||||||||
No | 529 | 92.8 | 525 | 91.8 | 526 | 92.3 | 529 | 92.5 | |
Yes | 41 | 7.2 | 47 | 8.2 | 44 | 7.7 | 43 | 7.5 | |
History of hypertension | .26 | ||||||||
No | 342 | 60.0 | 345 | 60.3 | 366 | 64.2 | 336 | 58.7 | |
Yes | 228 | 40.0 | 227 | 39.7 | 204 | 35.8 | 236 | 41.3 | |
Physical activity, MET-h/wk | < .01 | ||||||||
Q1 | 90 | 15.8 | 61 | 10.7 | 60 | 10.5 | 49 | 8.6 | |
Q2 | 204 | 35.8 | 192 | 33.6 | 180 | 31.6 | 180 | 31.5 | |
Q3 | 144 | 25.3 | 173 | 30.2 | 172 | 30.2 | 172 | 30.1 | |
Q4 | 123 | 21.6 | 138 | 24.1 | 148 | 26.0 | 166 | 29.0 | |
BMI (kg/m2) | < .01 | ||||||||
< 18.5 | 6 | 1.1 | 5 | 0.9 | 3 | 0.5 | 9 | 1.6 | |
18.5 to < 25 | 187 | 32.8 | 190 | 33.2 | 218 | 38.2 | 253 | 44.2 | |
25 to < 30 | 259 | 45.4 | 258 | 45.1 | 237 | 41.6 | 218 | 38.1 | |
≥ 30 | 112 | 19.6 | 108 | 18.9 | 103 | 18.1 | 84 | 14.7 | |
Cigarette-smoking status | < .01 | ||||||||
Never | 228 | 40 | 210 | 36.7 | 222 | 38.9 | 230 | 40.2 | |
Current | 74 | 13 | 43 | 7.5 | 45 | 7.9 | 26 | 4.5 | |
Former | 268 | 47 | 315 | 55.1 | 302 | 53.0 | 309 | 54.0 | |
NSAID use, No. of pills/mo | < .01 | ||||||||
0 | 279 | 48.9 | 258 | 45.1 | 241 | 42.3 | 246 | 43.0 | |
1 to < 15 | 96 | 16.8 | 92 | 16.1 | 79 | 13.9 | 61 | 10.7 | |
15 to < 30 | 32 | 5.6 | 47 | 8.2 | 67 | 11.8 | 69 | 12.1 | |
30 to < 60 | 96 | 16.8 | 99 | 17.3 | 112 | 19.6 | 127 | 22.2 | |
≥ 60 | 46 | 8.1 | 54 | 9.4 | 50 | 8.8 | 51 | 8.9 | |
HRT use among post-menopausal women | .03 | ||||||||
None | 119 | 49.0 | 124 | 50.4 | 110 | 44.5 | 94 | 38.5 | |
Current | 50 | 20.6 | 64 | 26.0 | 78 | 31.6 | 78 | 32.0 | |
Former | 65 | 26.8 | 52 | 21.1 | 50 | 20.2 | 58 | 23.8 | |
Dietary characteristics | |||||||||
Alcohol intake, drinks/d | < .01 | ||||||||
Nondrinker | 207 | 36.3 | 229 | 40.0 | 227 | 39.8 | 255 | 44.6 | |
< 1 | 178 | 31.2 | 212 | 37.1 | 234 | 41.1 | 209 | 36.5 | |
≥ 1 | 173 | 30.4 | 124 | 21.7 | 98 | 17.2 | 99 | 17.3 |
Mean | SD | Mean | SD | Mean | SD | Mean | SD | P | |
---|---|---|---|---|---|---|---|---|---|
Energy intake, kcal/d | 1,543.2 | 605.6 | 1,617.8 | 606.5 | 1,611.1 | 583.0 | 1,577.6 | 594.3 | .01 |
Dietary folate intake, μg/d | 214.8 | 81.3 | 254.5 | 90.4 | 268.0 | 88.1 | 288.0 | 95.4 | < .01 |
Total folate intake, μg/d | 257.2 | 161.2 | 361.1 | 210.4 | 424.7 | 238.9 | 563.7 | 389.3 | < .01 |
Fruit/vegetable intake, servings/d | 2.8 | 1.5 | 3.2 | 1.6 | 3.5 | 1.8 | 3.5 | 1.7 | < .01 |
Red/processed meat intake, servings/wk | 6.4 | 4.1 | 5.7 | 3.6 | 5.2 | 3.9 | 4.4 | 3.4 | < .01 |
Whole grain intake, g/d | 44.7 | 52.6 | 59.8 | 63.2 | 65.7 | 63.8 | 69.4 | 60.5 | < .01 |
NOTE. Some percentages do not add up to 100% because of missing data or rounding.
Abbreviations: BMI, body mass index; CPS-II, Cancer Prevention Study-II; HRT, hormone replacement therapy; MET, metabolic equivalent; NSAID, nonsteroidal anti-inflammatory drug; Q, quartile; SD, standard deviation.
*
Quartiles in men:< 578, 578 to< 776, 776 to < 1,044, ≥ 1,044; quartiles in women:< 553, 553 to < 776, 776 to < 1,156, ≥ 1,156.
†
P values derived from χ2 test for differences in frequencies across total calcium strata for categorical predictors, and t test for continuous predictors with continuous total calcium intake.
Among the 2,284 patients included in the prediagnosis analyses, 949 deaths occurred (408 from colon or rectal cancer) during a mean follow-up of 7.5 years (standard deviation, 4.6 years; range, 2 days to 18.1 years). No statistically significant associations were observed for any of the prediagnosis diet variables with any of the mortality outcomes (Table 2 and Appendix Table A2). The results were not meaningfully different after additional adjusting for other covariates or after additional sensitivity analyses (data not shown). The results were also null after we included patients with metastatic or unknown tumor stage (Appendix Table A3). In analyses restricted to the 1,111 participants who were included in the postdiagnosis analyses, prediagnosis use of supplemental calcium ≥ 250 mg/d was statistically significantly associated with higher risk of all-cause mortality (RR, 1.65; 95% CI, 1.16 to 2.35; Appendix Table A4); this risk was primarily because of an increased RR for cardiovascular disease mortality (RR, 1.83; 95% CI, 0.82 to 4.09).
Exposure | Range* | Total No. of Deaths | Person-Years | Base Model† | MV Model‡ | |||
---|---|---|---|---|---|---|---|---|
Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||
Q1§ | < 578 | < 553 | 227 | 4,288 | 1.00 | — | 1.00 | — |
Q2 | 578 to < 776 | 553 to < 776 | 227 | 4,460 | 0.91 | 0.75 to 1.10 | 0.93 | 0.77 to 1.13 |
Q3 | 776 to < 1,044 | 776 to < 1,156 | 234 | 4,255 | 0.85 | 0.70 to 1.03 | 0.88 | 0.72 to 1.08 |
Q4 | ≥ 1,044 | ≥ 1,156 | 261 | 4,235 | 0.96 | 0.80 to 1.15 | 0.99 | 0.81 to 1.21 |
Ptrend‖ | 0.99 | 0.68 | ||||||
Dietary calcium, mg/d | ||||||||
Q1§ | < 548 | < 486 | 243 | 4,146 | 1.00 | — | 1.00 | — |
Q2 | 548 to < 729 | 486 to < 629 | 222 | 4,496 | 0.84 | 0.70 to 1.02 | 0.86 | 0.71 to 1.04 |
Q3 | 729 to < 949 | 629 to < 849 | 237 | 4,272 | 0.84 | 0.69 to 1.01 | 0.86 | 0.71 to 1.04 |
Q4 | ≥ 949 | ≥ 849 | 247 | 4,325 | 0.85 | 0.70 to 1.02 | 0.86 | 0.71 to 1.04 |
Ptrend‖ | 0.13 | 0.21 | ||||||
Supplemental calcium, mg/d | ||||||||
C1§¶ | 0 | 575 | 10,733 | 1.00 | — | 1.00 | — | |
C2 | 0.1 to < 250 | 229 | 3,891 | 1.01 | 0.86, 1.19 | 1.13 | 0.90, 1.42 | |
C3 | ≥ 250 | 145 | 2,615 | 1.12 | 0.92, 1.36 | 1.22 | 0.96, 1.54 | |
Ptrend‖ | 0.34 | 0.10 | ||||||
Total vitamin D, IU/d | ||||||||
Q1§ | < 122 | < 111 | 229 | 4,284 | 1.00 | — | 1.00 | — |
Q2 | 122 to < 191 | 111 to < 201 | 218 | 4,370 | 0.87 | 0.71 to 1.05 | 0.90 | 0.74 to 1.10 |
Q3 | 191 to < 425 | 201 to < 467 | 244 | 4,278 | 0.92 | 0.76 to 1.11 | 0.97 | 0.78 to 1.19 |
Q4 | ≥ 425 | ≥ 467 | 258 | 4,306 | 0.95 | 0.79 to 1.14 | 1.09 | 0.82 to 1.47 |
Ptrend‖ | 0.92 | 0.32 | ||||||
Dietary vitamin D, IU/d | ||||||||
Q1§ | < 105 | < 90 | 232 | 4,283 | 1.00 | — | 1.00 | — |
Q2 | 105 to < 157 | 90 to < 136 | 238 | 4,347 | 0.97 | 0.81 to 1.18 | 1.00 | 0.82 to 1.21 |
Q3 | 157 to < 226 | 136 to < 202 | 225 | 4,295 | 0.89 | 0.73 to 1.07 | 0.91 | 0.75 to 1.11 |
Q4 | ≥ 226 | ≥ 202 | 254 | 4,313 | 0.94 | 0.78 to 1.13 | 0.97 | 0.80 to 1.17 |
Ptrend‖ | 0.43 | 0.63 | ||||||
Total dairy, servings/wk | ||||||||
Q1§ | < 5.5 | < 5.0 | 243 | 4,044 | 1.00 | — | 1.00 | — |
Q2 | 5.5 to < 9.6 | 5.0 to < 8.9 | 213 | 4,610 | 0.78 | 0.64 to 0.95 | 0.79 | 0.65 to 0.96 |
Q3 | 9.6 to < 14.5 | 8.9 to < 13.4 | 244 | 4,351 | 0.85 | 0.70 to 1.03 | 0.87 | 0.72 to 1.05 |
Q4 | ≥ 14.5 | ≥ 13.4 | 249 | 4,233 | 0.86 | 0.71 to 1.06 | 0.88 | 0.72 to 1.09 |
Ptrend‖ | 0.47 | 0.62 | ||||||
Milk, servings/wk | ||||||||
Q1§ | 0 | 0 | 262 | 4,895 | 1.00 | — | 1.00 | — |
Q2 | 0.1 to < 5.7 | 0.1 to < 5.1 | 204 | 3,771 | 1.01 | 0.84 to 1.23 | 1.01 | 0.84 to 1.23 |
Q3 | 5.7 to < 10.5 | 5.1 to < 10.1 | 237 | 4,293 | 0.97 | 0.81 to 1.17 | 0.99 | 0.82 to 1.19 |
Q4 | ≥ 10.5 | ≥ 10.1 | 246 | 4,280 | 0.94 | 0.78 to 1.13 | 0.95 | 0.79 to 1.15 |
Ptrend‖ | 0.36 | 0.46 |
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy and total folate intakes.
§
Reference group.
‖
Ptrend was calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Among the 1,111 patients included in the postdiagnosis analyses, 429 deaths occurred (143 from colon or rectal cancer) during a mean follow-up of 7.6 years (standard deviation, 3.4 years; range, 20 days to 11.3 years). The mean time between diagnosis and completion of the postdiagnosis questionnaire was 2.6 years. As shown in Table 3, comparing the highest to the lowest quartiles, total calcium (RR, 0.72; 95% CI, 0.53 to 0.98; Ptrend = .02) and milk (RR, 0.72; 95% CI, 0.55 to 0.94; Ptrend = .02) intakes were associated with lower all-cause mortality. Additional adjustment for prediagnostic total calcium and milk had no discernible effect on the results. A marginally statistically significant inverse association with all-cause mortality was observed for total dairy (RR, 0.75; 95% CI, 0.56 to 1.01; Ptrend = .05). Total calcium was also inversely associated with colorectal cancer–specific mortality (highest v lowest quartile RR, 0.59; 95% CI, 0.33 to 1.05; Ptrend = .01; Appendix Table A5).
Exposure | 1999 Range* | 2003 Range* | Total No. of Deaths | Person-Years | Base Model† | MV Model‡ | ||||
---|---|---|---|---|---|---|---|---|---|---|
Men | Women | Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||||
Q1§ | < 581 | < 713 | < 683 | < 773 | 112 | 1,903 | 1.00 | — | 1.00 | — |
Q2 | 581 to < 775 | 713 to < 1,170 | 683 to < 882 | 773 to < 1,131 | 118 | 2,098 | 0.89 | 0.67 to 1.18 | 0.89 | 0.67, 1.18 |
Q3 | 775 to < 1,105 | 1,170 to < 1,598 | 882 to < 1,162 | 1,131 to < 1,591 | 100 | 2,078 | 0.72 | 0.54 to 0.96 | 0.72 | 0.53, 0.98 |
Q4 | ≥ 1,105 | ≥ 1,598 | ≥ 1,162 | ≥ 1,591 | 99 | 2,325 | 0.72 | 0.54 to 0.97 | 0.72 | 0.53, 0.98 |
Ptrend‖ | 0.01 | 0.02 | ||||||||
Dietary calcium, mg/d | ||||||||||
Q1§ | < 532 | < 525 | < 613 | < 609 | 105 | 1,804 | 1.00 | — | 1.00 | — |
Q2 | 532 to < 683 | 525 to < 671 | 613 to < 765 | 609 to < 766 | 118 | 2,277 | 0.84 | 0.63 to 1.12 | 0.84 | 0.63, 1.11 |
Q3 | 683 to < 885 | 671 to < 892 | 765 to < 968 | 766 to < 990 | 90 | 2,100 | 0.69 | 0.51 to 0.92 | 0.69 | 0.51, 0.93 |
Q4 | ≥ 885 | ≥ 892 | ≥ 968 | ≥ 990 | 116 | 2,223 | 0.85 | 0.64 to 1.12 | 0.86 | 0.65, 1.14 |
Ptrend‖ | 0.17 | 0.21 | ||||||||
Supplemental calcium, mg/d | ||||||||||
C1§¶ | 0 | 0 | 221 | 3,966 | 1.00 | — | 1.00 | — | ||
C2 | 0.1 to < 500 | 0.1 to < 500 | 108 | 2,001 | 0.90 | 0.70, 1.16 | 0.95 | 0.72 to 1.27 | ||
C3 | ≥ 500 | ≥ 500 | 100 | 2,437 | 0.94 | 0.72, 1.23 | 0.98 | 0.73 to 1.31 | ||
Ptrend‖ | 0.55 | 0.88 | ||||||||
Total vitamin D, IU/d | ||||||||||
Q1§ | < 164 | < 151 | < 194 | < 219 | 105 | 1,894 | 1.00 | — | 1.00 | — |
Q2 | 164 to < 302 | 151 to < 379 | 194 to < 389 | 219 to < 509 | 101 | 2,087 | 0.79 | 0.59 to 1.07 | 0.81 | 0.59, 1.10 |
Q3 | 302 to < 559 | 379 to < 588 | 389 to < 603 | 509 to < 685 | 108 | 2,167 | 0.90 | 0.67 to 1.21 | 0.97 | 0.67, 1.40 |
Q4 | ≥ 559 | ≥ 588 | ≥ 603 | ≥ 685 | 115 | 2,256 | 0.80 | 0.60 to 1.07 | 0.88 | 0.57, 1.35 |
Ptrend‖ | 0.16 | 0.35 | ||||||||
Dietary vitamin D, IU/d | ||||||||||
Q1§ | < 122 | < 100 | < 132 | < 103 | 103 | 2,065 | 1.00 | — | 1.00 | — |
Q2 | 122 to < 178 | 100 to < 155 | 132 to < 188 | 103 to < 178 | 115 | 2,144 | 0.99 | 0.75 to 1.31 | 0.99 | 0.75, 1.31 |
Q3 | 178 to < 245 | 155 to < 229 | 188 to < 267 | 178 to < 257 | 105 | 2,109 | 0.94 | 0.70 to 1.25 | 0.95 | 0.71, 1.27 |
Q4 | ≥ 245 | ≥ 229 | ≥ 267 | ≥ 257 | 106 | 2,085 | 0.89 | 0.67 to 1.19 | 0.90 | 0.67, 1.21 |
Ptrend‖ | 0.29 | 0.33 | ||||||||
Total dairy, servings/wk | ||||||||||
Q1§ | < 4.7 | < 3.9 | < 5.1 | < 4.8 | 115 | 1,931 | 1.00 | — | 1.00 | — |
Q2 | 4.7 to < 8.2 | 3.9 to < 7.7 | 5.1 to < 8.8 | 4.8 to < 8.1 | 109 | 2,106 | 0.91 | 0.69 to 1.20 | 0.91 | 0.69, 1.21 |
Q3 | 8.2 to < 11.7 | 7.7 to < 11.6 | 8.8 to < 12.3 | 8.1 to < 12.4 | 98 | 2,068 | 0.73 | 0.54 to 0.98 | 0.73 | 0.54, 0.98 |
Q4 | ≥ 11.7 | ≥ 11.6 | ≥ 12.3 | ≥ 12.4 | 107 | 2,299 | 0.75 | 0.55 to 1.00 | 0.75 | 0.56, 1.01 |
Ptrend‖ | 0.05 | 0.05 | ||||||||
Milk, servings/wk | ||||||||||
Q1§ | < 1.1 | < 1.0 | < 1.0 | < 1.0 | 106 | 1,844 | 1.00 | — | 1.00 | — |
Q2 | 1.1 to < 5.6 | 1.0 to < 3.5 | 1.0 to < 5.6 | 1.0 to < 3.3 | 109 | 2,135 | 0.84 | 0.64 to 1.12 | 0.85 | 0.64, 1.13 |
Q3 | 5.6 to < 7.0 | 3.5 to < 7.0 | 5.6 to < 7.0 | 3.3 to < 7.0 | 41 | 881 | 0.76 | 0.52 to 1.11 | 0.76 | 0.52, 1.12 |
Q4 | ≥ 7.0 | ≥ 7.0 | ≥ 7.0 | ≥ 7.0 | 173 | 3,543 | 0.71 | 0.55 to 0.93 | 0.72 | 0.55, 0.94 |
Ptrend‖ | 0.01 | 0.02 |
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each questionnaire- and sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and postdiagnosis total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and postdiagnosis total energy and total folate intakes.
§
Reference group.
‖
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Because postdiagnosis diet and supplement use may be influenced by serious illness preceding death (reverse causation), we conducted a sensitivity analysis excluding deaths within the first 2 years of follow-up after completion of the postdiagnosis questionnaire. The results after this exclusion seemed similar to the original results. The RRs for the highest compared with the lowest quartile of total calcium and milk, respectively, were 0.69 (95% CI, 0.48 to 0.98; Ptrend = .03) and 0.68 (95% CI, 0.50 to 0.93; Ptrend = .02) for all-cause mortality; and 0.53 (95% CI, 0.24 to 1.19; Ptrend = .02) for total calcium and colorectal cancer–specific mortality.
There was no evidence that the inverse associations of postdiagnosis total calcium and milk intakes with all-cause mortality were modified by age at diagnosis (< 70 years v ≥ 70 years), sex, tumor stage (localized v regional), tumor sub-site (colon v rectum), postdiagnosis body mass index (obese v not obese), physical activity (< median v ≥ median), total energy (< median v ≥ median), or total folate (< median v ≥ median) intakes (results stratified by stage shown in Appendix Table A6; other data not shown).
Discussion
This study suggests that higher intakes of total calcium and milk after colorectal cancer diagnosis are associated with lower risk of mortality. These associations persisted after adjusting for important covariates, such as sex and tumor stage, and after several sensitivity analyses. We found no evidence that calcium, vitamin D, or dairy product intakes before colorectal cancer diagnosis were associated with mortality. To our knowledge, this is the first study to report associations of dairy and milk (both pre- and postdiagnosis) with colorectal cancer survival, and also the first to assess the role of postdiagnosis calcium and vitamin D intakes.
Calcium, 25(OH)D (the major circulating form of vitamin D), and dairy products are associated with lower risk of incident colorectal cancer based on several meta-analyses.6,7,31 An earlier CPS-II Nutrition Cohort study reported inverse associations of colorectal cancer incidence with total calcium and total vitamin D intakes.32 The World Cancer Research Fund and American Institute for Cancer Research Continuous Update Project33 concluded in 2011 that calcium and milk were both probable factors associated with lower colorectal cancer risk.
In contrast to the substantial evidence of a role for calcium, vitamin D, and dairy products in colorectal cancer primary prevention, the role of these factors in colorectal cancer survival is less studied.3 In two cohort studies, prediagnosis dietary calcium intake was not associated with all-cause mortality among patients with colorectal cancer, consistent with our findings.14,15 25(OH)D, either pre- or postdiagnosis, was associated with longer colorectal cancer survival in four previous studies16–19; in the current study, we observed no association with dietary vitamin D intake, which may not optimally reflect serum vitamin D status. In a large, pooled analysis, vitamin D intake was positively associated with serum 25(OH)D level, but the associations were relatively weak (Spearman correlation was 0.22 for dietary vitamin D and 0.29 for total vitamin D).34
In the current study, we found a statistically significant lower risk of death among patients with higher postdiagnostic intakes of total calcium and milk. Although not completely understood, several possible biologic mechanisms might underlie these associations. Clinical trials conducted among patients with previous colorectal adenoma suggested that daily treatment with calcium, compared with placebo, was associated with lower risk of colorectal adenoma recurrence.8,35,36 Potential mechanisms include calcium's ability to bind to bile and fatty acids and prevent or lower toxicity37–39; direct effects on colonocyte proliferation,40,41 differentiation,42 and apoptosis43; and, alterations in K-ras mutations.44 Although these mechanisms were originally proposed in the primary prevention context, it is reasonable to hypothesize that calcium may also act through these mechanisms after diagnosis to reduce the risk of cancer recurrence, thus ultimately improving chance of survival. Direct clinical or epidemiologic evidence of calcium in colorectal cancer progression is limited, but in vitro evidence suggests that calcium may promote E-cadherin expression and suppress β-catenin/T-cell factor activation through the calcium sensing receptor, and restrain their malignant behaviors.45 Thus, calcium may be capable of limiting growth and distant metastasis from cancer cells that escaped the colon at the time of treatment. In our data, the strong inverse association of postdiagnosis total calcium intake with colorectal cancer–specific mortality was consistent with these mechanisms.
Whereas postdiagnosis calcium intake was associated with lower risk of all-cause and colorectal cancer–specific mortality, there were no such associations with prediagnosis diet. Reasons for these discrepant findings are unclear. It is possible that calcium may have short-term rather than long-term effects on colorectal cancer progression and survival, and therefore only postdiagnosis diet is relevant in this context. It is also important to note that different FFQs were used to assess pre- and postdiagnosis diet. The correlation coefficient (Pearson) between pre- and postdiagnosis total calcium intake was 0.37: this moderate correlation might suggest that participants changed their calcium intake after cancer diagnosis or, alternatively, this could reflect differences in the dietary assessment instruments. The FFQs used in this study included the major food and beverage sources of calcium and vitamin D, and validation studies have shown good agreements between estimates from diet recall and these FFQs (eg, Pearson correlation coefficients ranged from 0.57 to 0.66 for calcium and from 0.52 to 0.88 for dairy products).27,29,30 Therefore, we believe that the low correlations between pre- and postdiagnosis diet are more likely resulting from real changes in diet after cancer diagnosis.
We observed a potential higher risk of all-cause mortality from prediagnosis supplemental calcium intake, especially when restricting the analysis to the 1,111 participants who were included in the postdiagnosis analyses. Additional research should address whether this is a real potential harm to colorectal cancer patients.
Milk may be associated with improved survival among patients with colorectal cancer because it is a rich source of dietary calcium and vitamin D. In addition, milk is a primary dietary source of conjugated linoleic acid, which was found to inhibit colorectal cancer cell growth in vitro.46,47 Other potentially beneficial components in dairy products include butyric acid, lactoferrin, and fermentation products.46
The strengths of our study include its large sample size, prospective design, and detailed pre- and postdiagnosis questionnaire information. We were also able to examine cause-specific mortality. Limitations include the lack of information on adverse effects from treatment and tumor recurrence. FFQs may underestimate diet-disease associations compared with more objective biomarker measurements because of nondifferential misclassification. For large cohort studies, however, FFQs offer a feasible method to detect potential associations (especially when using energy-adjusted nutrients) in the absence of biomarker measurements.48 As in most studies of this type, estimates of the effects of prediagnosis exposures are potentially biased because of selecting patients who survived until the occurrence of colorectal cancer or the first postdiagnosis questionnaire.49–51
In conclusion, higher intakes of total calcium and milk after, but not before, colorectal cancer diagnosis may be associated with lower overall mortality. Our findings, if replicated in future observational studies and randomized trials, will provide important guidance for cancer survivors who are actively seeking diet and lifestyle changes to improve their prognosis.
Acknowledgment
The American Cancer Society funds the creation, maintenance, and updating of the Cancer Prevention Study-II (CPS-II) cohort. We thank the CPS-II participants and Study Management Group for their invaluable contributions to this research. The authors also acknowledge the contribution to this study from central cancer registries supported through the Centers for Disease Control and Prevention National Program of Cancer Registries and cancer registries supported by the National Cancer Institute SEER program.
See accompanying editorial on page 2290
Authors' Disclosures of Potential Conflicts of Interest
The authors indicated no potential conflicts of interest.
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Appendix
Food | 1992* | 1999† | 2003† |
---|---|---|---|
Milk | Whole milk and beverages with whole milk | Whole milk | Whole milk |
2% milk and beverages with 2% milk | 2% milk | 2% milk | |
Skim milk, 1%, or buttermilk | Skim or 1% milk | Skim or 1% milk | |
Other dairy products | Cheeses and cheese spreads (regular and low fat) | Cheese (cottage or ricotta, and other) | Cheese (cottage or ricotta, and other) |
Ice cream (regular and low fat) | Ice cream (regular and nonfat/sherbet) | Ice cream (regular and nonfat/sherbet) | |
Yogurt (regular and low fat, including frozen) | Yogurt (plain or artificially sweetened, frozen, and other) | Yogurt (plain or artificially sweetened, frozen, and other) | |
Restaurant pizza | Pizza | Pizza | |
Calcium supplements | Calcium or dolomite | Calcium | Calcium |
Frequency per week or per day | Regular use: yes/no | Regular use: yes/no | |
Amount in each tablet (250 mg, 500 mg, 600 mg, or 750 mg) | Amount per day (≤ 900 mg [calculated as 500 mg], ≥ 901 mg [calculated as 1,000 mg], unknown) | Pills per week Amount in each pill (≤ 350 mg [calculated as 250 mg], ≥ 400 mg [calculated as 500 mg], unknown) |
|
Multivitamins | Use at least once per week yes/no | Currently yes/no | Currently yes/no |
Type | Frequency per week | Frequency per week | |
Stress-tabs type | Brand (write-in) | Brand (write-in) | |
Therapeutic, Theragran type | |||
One-a-day type or Centrum | |||
No. of tablets per day or per week |
*
Dairy in 1992 was calculated as all types of milk (8-ounce glass serving) plus cheese and cheese spreads (2-ounce serving) plus ice cream (1½-cup serving) plus yogurt (1-cup serving) plus cheese on pizza (1½-ounce serving).
†
Dairy in 1999 and 2003 was calculated as all types of milk (8-ounce glass serving) plus ice cream (1½-cup serving) plus yogurt (1-cup serving) plus cottage cheese (2-cup serving) plus processed cheese (2-ounce serving) plus hard cheese (1½-ounce serving) plus cheese on pizza (1½-ounce serving).
Exposure | Range* | Total No. of Deaths | Person-Years | Base Model† | MV Model‡ | |||
---|---|---|---|---|---|---|---|---|
Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||
Q1§ | < 578 | < 553 | 101 | 4,288 | 1.00 | — | 1.00 | — |
Q2 | 578 to < 776 | 553 to < 776 | 103 | 4,460 | 0.99 | 0.75 to 1.32 | 1.04 | 0.77 to 1.39 |
Q3 | 776 to < 1,044 | 776 to < 1,156 | 102 | 4,255 | 0.88 | 0.66 to 1.17 | 0.94 | 0.69 to 1.26 |
Q4 | ≥ 1,044 | ≥ 1,156 | 102 | 4,235 | 0.95 | 0.72 to 1.26 | 1.01 | 0.74 to 1.38 |
Ptrend‖ | 0.78 | 0.91 | ||||||
Dietary calcium, mg/d | ||||||||
Q1§ | < 548 | < 486 | 106 | 4,146 | 1.00 | — | 1.00 | — |
Q2 | 548 to < 729 | 486 to < 629 | 99 | 4,496 | 0.93 | 0.70 to 1.24 | 0.96 | 0.72 to 1.28 |
Q3 | 729 to < 949 | 629 to < 849 | 107 | 4,272 | 0.95 | 0.72 to 1.25 | 0.99 | 0.74 to 1.31 |
Q4 | ≥ 949 | ≥ 849 | 96 | 4,325 | 0.82 | 0.62 to 1.10 | 0.86 | 0.64 to 1.16 |
Ptrend‖ | 0.18 | 0.30 | ||||||
Supplemental calcium, mg/d | ||||||||
C1§¶ | 0 | 250 | 10,733 | 1.00 | — | 1.00 | — | |
C2 | 0.1 to < 250 | 95 | 3,891 | 0.98 | 0.77, 1.25 | 1.11 | 0.79, 1.57 | |
C3 | ≥ 250 | 63 | 2,615 | 1.07 | 0.79, 1.43 | 1.18 | 0.83, 1.66 | |
Ptrend‖ | 0.76 | 0.36 | ||||||
Total vitamin D, IU/d | ||||||||
Q1§ | < 122 | < 111 | 96 | 4,284 | 1.00 | — | 1.00 | — |
Q2 | 122 to < 191 | 111 to < 201 | 108 | 4,370 | 1.06 | 0.80 to 1.40 | 1.12 | 0.83 to 1.49 |
Q3 | 191 to < 425 | 201 to < 467 | 99 | 4,278 | 0.90 | 0.67 to 1.21 | 1.00 | 0.72 to 1.38 |
Q4 | ≥ 425 | ≥ 467 | 105 | 4,306 | 0.98 | 0.73 to 1.30 | 1.14 | 0.73 to 1.78 |
Ptrend‖ | 0.77 | 0.61 | ||||||
Dietary vitamin D, IU/d | ||||||||
Q1§ | < 105 | < 90 | 103 | 4,283 | 1.00 | — | 1.00 | — |
Q2 | 105 to < 157 | 90 to < 136 | 109 | 4,347 | 1.01 | 0.76 to 1.33 | 1.03 | 0.78 to 1.36 |
Q3 | 157 to < 226 | 136 to < 202 | 93 | 4,295 | 0.87 | 0.65 to 1.16 | 0.90 | 0.67 to 1.22 |
Q4 | ≥ 226 | ≥ 202 | 103 | 4,313 | 0.91 | 0.69 to 1.21 | 0.96 | 0.72 to 1.28 |
Ptrend‖ | 0.39 | 0.61 | ||||||
Total dairy, servings/wk | ||||||||
Q1§ | < 5.5 | < 5.0 | 110 | 4,044 | 1.00 | — | 1.00 | — |
Q2 | 5.5 to < 9.6 | 5.0 to < 8.9 | 91 | 4,610 | 0.83 | 0.62 to 1.10 | 0.84 | 0.63 to 1.13 |
Q3 | 9.6 to < 14.5 | 8.9 to < 13.4 | 107 | 4,351 | 0.89 | 0.67 to 1.18 | 0.92 | 0.69 to 1.23 |
Q4 | ≥ 14.5 | ≥ 13.4 | 100 | 4,233 | 0.86 | 0.63 to 1.17 | 0.89 | 0.65 to 1.22 |
Ptrend‖ | 0.55 | 0.73 | ||||||
Milk, servings/wk | ||||||||
Q1§ | 0 | 0 | 110 | 4,895 | 1.00 | — | 1.00 | — |
Q2 | 0.1 to < 5.7 | 0.1 to < 5.1 | 88 | 3,771 | 1.07 | 0.80 to 1.43 | 1.06 | 0.79 to 1.42 |
Q3 | 5.7 to < 10.5 | 5.1 to < 10.1 | 114 | 4,293 | 1.07 | 0.81 to 1.40 | 1.08 | 0.82 to 1.42 |
Q4 | ≥ 10.5 | ≥ 10.1 | 96 | 4,280 | 0.95 | 0.71 to 1.28 | 0.98 | 0.73 to 1.32 |
Ptrend‖ | 0.62 | 0.80 |
Abbreviations: C, category; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy and total folate intakes.
§
Reference group.
‖
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Exposure | Range* | Total No. of Deaths | Person- Years | Base Model† | MV Model‡ | |||
---|---|---|---|---|---|---|---|---|
Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||
Q1§ | < 579 | < 545 | 337 | 4,562 | 1.00 | — | 1.00 | — |
Q2 | 579 to < 775 | 545 to < 773 | 335 | 4,874 | 0.93 | 0.79 to 1.09 | 0.96 | 0.81 to 1.13 |
Q3 | 775 to < 1,033 | 773 to < 1,152 | 344 | 4,563 | 0.89 | 0.76 to 1.05 | 0.94 | 0.79 to 1.11 |
Q4 | ≥ 1,033 | ≥ 1,152 | 366 | 4,628 | 0.96 | 0.82 to 1.12 | 1.00 | 0.84 to 1.19 |
Ptrend‖ | 0.85 | 0.75 | ||||||
Dietary calcium, mg/d | ||||||||
Q1§ | < 548 | < 481 | 350 | 4,427 | 1.00 | — | 1.00 | — |
Q2 | 548 to < 724 | 481 to < 620 | 337 | 4,859 | 0.86 | 0.73 to 1.01 | 0.88 | 0.75 to 1.04 |
Q3 | 724 to < 944 | 620 to < 848 | 342 | 4,640 | 0.92 | 0.78 to 1.07 | 0.95 | 0.81 to 1.12 |
Q4 | ≥ 944 | ≥ 848 | 353 | 4,701 | 0.87 | 0.75 to 1.03 | 0.91 | 0.77 to 1.07 |
Ptrend‖ | 0.22 | 0.45 | ||||||
Supplemental calcium, mg/d | ||||||||
C1§¶ | 0 | 851 | 11,618 | 1.00 | — | 1.00 | — | |
C2 | 0.1 to < 250 | 321 | 4,219 | 1.01 | 0.88 to 1.16 | 1.11 | 0.91 to 1.35 | |
C3 | ≥ 250 | 210 | 2,790 | 1.06 | 0.90 to 1.26 | 1.14 | 0.94 to 1.40 | |
Ptrend‖ | 0.52 | 0.19 | ||||||
Total vitamin D, IU/d | ||||||||
Q1§ | < 123 | < 108 | 343 | 4,534 | 1.00 | — | 1.00 | — |
Q2 | 123 to < 191 | 108 to < 193 | 324 | 4,728 | 0.87 | 0.74 to 1.03 | 0.92 | 0.78 to 1.09 |
Q3 | 191 to < 420 | 193 to < 461 | 350 | 4,660 | 0.94 | 0.80 to 1.11 | 1.02 | 0.85 to 1.22 |
Q4 | ≥ 420 | ≥ 461 | 365 | 4,704 | 0.95 | 0.81 to 1.11 | 1.08 | 0.84 to 1.40 |
Ptrend‖ | 0.99 | 0.33 | ||||||
Dietary vitamin D, IU/d | ||||||||
Q1§ | < 106 | < 90 | 345 | 4,562 | 1.00 | — | 1.00 | — |
Q2 | 106 to < 158 | 90 to < 135 | 338 | 4,758 | 0.88 | 0.75 to 1.03 | 0.90 | 0.77 to 1.06 |
Q3 | 158 to < 227 | 135 to < 203 | 331 | 4,737 | 0.88 | 0.75 to 1.03 | 0.92 | 0.78 to 1.09 |
Q4 | ≥ 227 | ≥ 203 | 368 | 4,571 | 0.97 | 0.83 to 1.14 | 1.02 | 0.86 to 1.20 |
Ptrend‖ | 0.98 | 0.52 | ||||||
Total dairy, servings/wk | ||||||||
Q1§ | < 5.5 | < 4.9 | 350 | 4,394 | 1.00 | — | 1.00 | — |
Q2 | 5.5 to < 9.6 | 4.9 to < 8.8 | 321 | 4,886 | 0.81 | 0.68 to 0.95 | 0.82 | 0.70 to 0.97 |
Q3 | 9.6 to < 14.6 | 8.8 to < 13.3 | 352 | 4,761 | 0.89 | 0.76 to 1.05 | 0.92 | 0.78 to 1.09 |
Q4 | ≥ 14.6 | ≥ 13.3 | 359 | 4,585 | 0.92 | 0.77 to 1.09 | 0.95 | 0.80 to 1.14 |
Ptrend‖ | 0.88 | 0.79 | ||||||
Milk, servings/wk | ||||||||
Q1§ | 0 | 0 | 440 | 5,365 | 1.00 | — | 1.00 | — |
Q2 | 0.1 to < 5.5 | 0.1 to < 4.8 | 286 | 3,847 | 0.97 | 0.82 to 1.14 | 0.96 | 0.82 to 1.14 |
Q3 | 5.5 to < 10.4 | 4.8 to < 10.0 | 344 | 4,859 | 0.92 | 0.78 to 1.08 | 0.93 | 0.80 to 1.09 |
Q4 | ≥ 10.4 | ≥ 10.0 | 368 | 4,677 | 0.95 | 0.81 to 1.12 | 0.98 | 0.83 to 1.15 |
Ptrend‖ | 0.48 | 0.72 |
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy and total folate intakes.
§
Reference group.
‖
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Exposure | Range* | Total No. of Deaths | Person-Years | Base Model† | MV Model‡ | |||
---|---|---|---|---|---|---|---|---|
Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||
Q1§ | < 578 | < 553 | 100 | 2,733 | 1.00 | — | 1.00 | — |
Q2 | 578 to < 776 | 553 to < 776 | 101 | 2,909 | 0.84 | 0.63 to 1.12 | 0.87 | 0.64 to 1.17 |
Q3 | 776 to < 1,044 | 776 to < 1,156 | 107 | 2,765 | 0.88 | 0.65 to 1.17 | 0.91 | 0.67 to 1.23 |
Q4 | ≥ 1,044 | ≥ 1,156 | 121 | 2,913 | 0.91 | 0.68 to 1.20 | 0.96 | 0.70 to 1.30 |
Ptrend‖ | 0.87 | 0.79 | ||||||
Dietary calcium, mg/d | ||||||||
Q1§ | < 548 | < 486 | 109 | 2,556 | 1.00 | — | 1.00 | — |
Q2 | 548 to < 729 | 486 to < 629 | 98 | 3,031 | 0.69 | 0.52 to 0.92 | 0.69 | 0.51 to 0.92 |
Q3 | 729 to < 949 | 629 to < 849 | 106 | 2,676 | 0.81 | 0.61 to 1.08 | 0.82 | 0.61 to 1.10 |
Q4 | ≥ 949 | ≥ 849 | 116 | 3,058 | 0.74 | 0.56 to 0.97 | 0.75 | 0.56 to 1.00 |
Ptrend‖ | 0.13 | 0.19 | ||||||
Supplemental calcium, mg/d | ||||||||
C1§¶ | 0 | 251 | 6,987 | 1.00 | — | 1.00 | — | |
C2 | 0.1 to < 250 | 110 | 2,682 | 1.00 | 0.79 to 1.27 | 1.31 | 0.94 to 1.83 | |
C3 | ≥ 250 | 68 | 1,652 | 1.34 | 0.99 to 1.80 | 1.65 | 1.16 to 2.35 | |
Ptrend‖ | 0.12 | 0.01 | ||||||
Total vitamin D, IU/d | ||||||||
Q1§ | < 122 | < 111 | 109 | 2,718 | 1.00 | — | 1.00 | — |
Q2 | 122 to < 191 | 111 to < 201 | 88 | 2,843 | 0.69 | 0.51 to 0.93 | 0.70 | 0.52 to 0.95 |
Q3 | 191 to < 425 | 201 to < 467 | 114 | 2,792 | 0.84 | 0.64 to 1.12 | 0.85 | 0.63 to 1.16 |
Q4 | ≥ 425 | ≥ 467 | 118 | 2,968 | 0.79 | 0.60 to 1.05 | 0.91 | 0.58 to 1.43 |
Ptrend‖ | 0.49 | 0.85 | ||||||
Dietary vitamin D, IU/d | ||||||||
Q1§ | < 105 | < 90 | 105 | 2,679 | 1.00 | — | 1.00 | — |
Q2 | 105 to < 157 | 90 to < 136 | 102 | 2,826 | 0.88 | 0.66 to 1.18 | 0.89 | 0.66 to 1.19 |
Q3 | 157 to < 226 | 136 to < 202 | 107 | 2,901 | 0.85 | 0.64 to 1.12 | 0.86 | 0.65 to 1.15 |
Q4 | ≥ 226 | ≥ 202 | 115 | 2,915 | 0.84 | 0.63 to 1.11 | 0.85 | 0.63 to 1.13 |
Ptrend‖ | 0.22 | 0.27 | ||||||
Total dairy, servings/wk | ||||||||
Q1§ | < 5.5 | < 5.0 | 105 | 2,490 | 1.00 | — | 1.00 | — |
Q2 | 5.5 to < 9.6 | 5.0 to < 8.9 | 92 | 3,028 | 0.72 | 0.54 to 0.98 | 0.73 | 0.54 to 0.99 |
Q3 | 9.6 to < 14.5 | 8.9 to < 13.4 | 116 | 2,941 | 0.83 | 0.63 to 1.10 | 0.84 | 0.63 to 1.12 |
Q4 | ≥ 14.5 | ≥ 13.4 | 116 | 2,862 | 0.80 | 0.59 to 1.09 | 0.82 | 0.60 to 1.13 |
Ptrend‖ | 0.42 | 0.52 | ||||||
Milk, servings/wk | ||||||||
Q1§ | 0 | 0 | 118 | 3,259 | 1.00 | — | 1.00 | — |
Q2 | 0.1 to < 5.7 | 0.1 to < 5.1 | 99 | 2,304 | 1.23 | 0.93 to 1.64 | 1.23 | 0.93 to 1.64 |
Q3 | 5.7 to < 10.5 | 5.1 to < 10.1 | 100 | 2,883 | 0.89 | 0.67 to 1.19 | 0.91 | 0.69 to 1.21 |
Q4 | ≥ 10.5 | ≥ 10.1 | 112 | 2,874 | 0.89 | 0.67 to 1.19 | 0.90 | 0.68 to 1.20 |
Ptrend‖ | 0.14 | 0.17 |
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and 1992 total energy and total folate intakes.
§
Reference group.
‖
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Exposure | 1999 Range* | 2003 Range* | Total No. of Deaths | Person-Years | Base Model† | MV Model‡ | ||||
---|---|---|---|---|---|---|---|---|---|---|
Men | Women | Men | Women | RR | 95% CI | RR | 95% CI | |||
Total calcium, mg/d | ||||||||||
Q1§ | < 581 | < 713 | < 683 | < 773 | 37 | 1,903 | 1.00 | — | 1.00 | — |
Q2 | 581 to < 775 | 713 to < 1,170 | 683 to < 882 | 773 to < 1,131 | 49 | 2,098 | 1.11 | 0.69 to 1.78 | 1.15 | 0.71 to 1.86 |
Q3 | 775 to <1,105 | 1,170 to < 1,598 | 882 to < 1,162 | 1,131 to < 1,591 | 33 | 2,078 | 0.75 | 0.46 to 1.24 | 0.81 | 0.48 to 1.38 |
Q4 | ≥ 1,105 | ≥ 1,598 | ≥ 1,162 | ≥ 1,591 | 24 | 2,325 | 0.54 | 0.31 to 0.94 | 0.59 | 0.33 to 1.05 |
Ptrend‖ | < 0.01 | 0.01 | ||||||||
Dietary calcium, mg/d | ||||||||||
Q1§ | < 532 | < 525 | < 613 | < 609 | 35 | 1,804 | 1.00 | — | 1.00 | — |
Q2 | 532 to < 683 | 525 to < 671 | 613 to < 765 | 609 to < 766 | 36 | 2,277 | 0.86 | 0.52 to 1.42 | 0.85 | 0.51 to 1.41 |
Q3 | 683 to < 885 | 671 to < 892 | 765 to < 968 | 766 to < 990 | 35 | 2,100 | 0.90 | 0.55 to 1.48 | 0.98 | 0.59 to 1.62 |
Q4 | ≥ 885 | ≥ 892 | ≥ 968 | ≥ 990 | 37 | 2,223 | 0.91 | 0.56 to 1.47 | 1.00 | 0.61 to 1.63 |
Ptrend‖ | 0.53 | 0.83 | ||||||||
Supplemental calcium, mg/d | ||||||||||
C1§¶ | 0 | 0 | 74 | 3,966 | 1.00 | — | 1.00 | — | ||
C2 | 0.1 to < 500 | 0.1 to < 500 | 42 | 2,001 | 0.92 | 0.61 to 1.38 | 1.04 | 0.65 to 1.69 | ||
C3 | ≥ 500 | ≥ 500 | 27 | 2,437 | 0.58 | 0.35 to 0.95 | 0.65 | 0.38 to 1.11 | ||
Ptrend‖ | 0.04 | 0.13 | ||||||||
Total vitamin D, IU/d | ||||||||||
Q1§ | < 164 | < 151 | < 194 | < 219 | 33 | 1,894 | 1.00 | — | 1.00 | — |
Q2 | 164 to < 302 | 151 to < 379 | 194 to < 389 | 219 to < 509 | 38 | 2,087 | 0.84 | 0.51 to 1.38 | 0.99 | 0.59 to 1.66 |
Q3 | 302 to < 559 | 379 to < 588 | 389 to < 603 | 509 to < 685 | 34 | 2,167 | 0.85 | 0.51 to 1.42 | 1.31 | 0.66 to 2.58 |
Q4 | ≥ 559 | ≥ 588 | ≥ 603 | ≥ 685 | 38 | 2,256 | 0.90 | 0.54 to 1.49 | 1.74 | 0.80 to 3.77 |
Ptrend‖ | 0.45 | 0.52 | ||||||||
Dietary vitamin D, IU/d | ||||||||||
Q1§ | < 122 | < 100 | < 132 | < 103 | 32 | 2,065 | 1.00 | — | 1.00 | — |
Q2 | 122 to < 178 | 100 to < 155 | 132 to < 188 | 103 to < 178 | 34 | 2,144 | 0.76 | 0.45 to 1.28 | 0.78 | 0.46 to 1.32 |
Q3 | 178 to < 245 | 155 to < 229 | 188 to < 267 | 178 to < 257 | 37 | 2,109 | 1.01 | 0.61 to 1.68 | 1.11 | 0.67 to 1.85 |
Q4 | ≥ 245 | ≥ 229 | ≥ 267 | ≥ 257 | 40 | 2,085 | 1.18 | 0.72 to 1.93 | 1.28 | 0.77 to 2.10 |
Ptrend‖ | 0.31 | 0.19 | ||||||||
Total dairy, servings/wk | ||||||||||
Q1§ | < 4.7 | < 3.9 | < 5.1 | < 4.8 | 37 | 1,931 | 1.00 | — | 1.00 | — |
Q2 | 4.7 to < 8.2 | 3.9 to < 7.7 | 5.1 to < 8.8 | 4.8 to < 8.1 | 31 | 2,106 | 0.73 | 0.44 to 1.22 | 0.73 | 0.44 to 1.23 |
Q3 | 8.2 to < 11.7 | 7.7 to < 11.6 | 8.8 to < 12.3 | 8.1 to < 12.4 | 41 | 2,068 | 0.87 | 0.53 to 1.44 | 0.92 | 0.56 to 1.52 |
Q4 | ≥ 11.7 | ≥ 11.6 | ≥ 12.3 | ≥ 12.4 | 34 | 2,299 | 0.71 | 0.42 to 1.19 | 0.73 | 0.44 to 1.23 |
Ptrend‖ | 0.26 | 0.32 | ||||||||
Milk, servings/wk | ||||||||||
Q1§ | < 1.1 | < 1.0 | < 1.0 | < 1.0 | 33 | 1,844 | 1.00 | — | 1.00 | — |
Q2 | 1.1 to < 5.6 | 1.0 to < 3.5 | 1.0 to < 5.6 | 1.0 to < 3.3 | 33 | 2,135 | 0.88 | 0.53 to 1.45 | 0.90 | 0.54 to 1.49 |
Q3 | 5.6 to < 7.0 | 3.5 to < 7.0 | 5.6 to < 7.0 | 3.3 to < 7.0 | 14 | 881 | 0.85 | 0.43 to 1.65 | 0.85 | 0.44 to 1.67 |
Q4 | ≥ 7.0 | ≥ 7.0 | ≥ 7.0 | ≥ 7.0 | 63 | 3,543 | 0.87 | 0.55 to 1.38 | 0.93 | 0.59 to 1.49 |
Ptrend‖ | 0.61 | 0.81 |
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Range obtained from each questionnaire- and sex-specific quartile of all exposures, except for supplemental calcium, which was obtained from each category for both sexes combined.
†
Base model adjusted for age at diagnosis, sex, tumor stage, and post-diagnosis total energy intake.
‡
Multivariable model adjusted for age at diagnosis, sex, tumor stage, and post-diagnosis total energy and total folate intakes.
§
Reference group.
‖
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
¶
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Exposure | Localized Stage | Regional Stage | Pinteraction | ||||||
---|---|---|---|---|---|---|---|---|---|
Total No. of Deaths | Person-Years | RR | 95% CI | Total No. of Deaths | Person-Years | RR | 95% CI | ||
Total calcium, mg/d | |||||||||
Q1* | 55 | 1,150 | 1.00 | — | 57 | 753 | 1.00 | — | |
Q2 | 60 | 1,237 | 1.00 | 0.67 to 1.49 | 58 | 861 | 0.79 | 0.52 to 1.20 | |
Q3 | 60 | 1,190 | 0.97 | 0.64 to 1.46 | 40 | 888 | 0.52 | 0.33 to 0.82 | |
Q4 | 46 | 1,332 | 0.69 | 0.45 to 1.07 | 53 | 993 | 0.74 | 0.47 to 1.16 | |
Ptrend† | 0.12 | 0.09 | .08 | ||||||
Dietary calcium, mg/d | |||||||||
Q1* | 50 | 1,031 | 1.00 | — | 55 | 773 | 1.00 | — | |
Q2 | 65 | 1,351 | 0.91 | 0.61 to 1.35 | 53 | 926 | 0.75 | 0.50 to 1.14 | |
Q3 | 47 | 1,211 | 0.72 | 0.47 to 1.11 | 43 | 889 | 0.67 | 0.43 to 1.04 | |
Q4 | 59 | 1,316 | 0.83 | 0.55 to 1.25 | 57 | 907 | 0.90 | 0.60 to 1.34 | |
Ptrend† | 0.30 | 0.49 | .75 | ||||||
Supplemental calcium, mg/d | |||||||||
C1*‡ | 122 | 2,404 | 1.00 | — | 99 | 1,562 | 1.00 | — | |
C2 | 48 | 1,179 | 0.87 | 0.59 to 1.29 | 60 | 822 | 1.05 | 0.69 to 1.61 | |
C3 | 51 | 1,326 | 1.00 | 0.67 to 1.48 | 49 | 1,111 | 0.99 | 0.64 to 1.54 | |
Ptrend† | 0.92 | 0.96 | .68 | ||||||
Total vitamin D, IU/d | |||||||||
Q1* | 57 | 1,186 | 1.00 | — | 48 | 708 | 1.00 | — | |
Q2 | 52 | 1,096 | 0.88 | 0.57 to 1.34 | 49 | 991 | 0.76 | 0.48 to 1.19 | |
Q3 | 60 | 1,270 | 0.98 | 0.60 to 1.60 | 48 | 897 | 0.99 | 0.55 to 1.77 | |
Q4 | 52 | 1,358 | 0.64 | 0.36 to 1.13 | 63 | 897 | 1.33 | 0.68 to 2.59 | |
Ptrend† | 0.13 | 0.79 | .23 | ||||||
Dietary vitamin D, IU/d | |||||||||
Q1* | 61 | 1,254 | 1.00 | — | 42 | 811 | 1.00 | — | |
Q2 | 58 | 1,241 | 0.93 | 0.64 to 1.36 | 57 | 903 | 1.13 | 0.73 to 1.74 | |
Q3 | 53 | 1,149 | 0.86 | 0.58 to 1.27 | 52 | 960 | 1.07 | 0.69 to 1.67 | |
Q4 | 49 | 1,266 | 0.71 | 0.47 to 1.08 | 57 | 820 | 1.18 | 0.77 to 1.82 | |
Ptrend† | 0.07 | 0.57 | .53 | ||||||
Total dairy, servings/wk | |||||||||
Q1* | 62 | 1,196 | 1.00 | — | 53 | 735 | 1.00 | — | |
Q2 | 54 | 1,208 | 0.93 | 0.63 to 1.38 | 55 | 898 | 0.91 | 0.61 to 1.38 | |
Q3 | 49 | 1,096 | 0.85 | 0.57 to 1.28 | 49 | 971 | 0.63 | 0.40 to 0.98 | |
Q4 | 56 | 1,409 | 0.69 | 0.46 to 1.05 | 51 | 889 | 0.82 | 0.53 to 1.27 | |
Ptrend† | 0.06 | 0.37 | .42 | ||||||
Milk, servings/wk | |||||||||
Q1* | 58 | 1,100 | 1.00 | — | 48 | 744 | 1.00 | — | |
Q2 | 55 | 1,282 | 0.76 | 0.51 to 1.13 | 54 | 853 | 1.00 | 0.66 to 1.52 | |
Q3 | 21 | 464 | 0.75 | 0.43 to 1.28 | 20 | 417 | 0.75 | 0.43 to 1.31 | |
Q4 | 87 | 2,063 | 0.67 | 0.46 to 0.98 | 86 | 1,480 | 0.80 | 0.54 to 1.18 | |
Ptrend† | 0.05 | 0.17 | .84 |
NOTE. Only showing multivariable model results adjusted for age at diagnosis, sex, tumor stage, and postdiagnosis total energy and total folate intakes.
Abbreviations: C, category; CPS-II, Cancer Prevention Study-II; MV, multivariable; Q, quartile; RR, relative risk.
*
Reference group.
†
Ptrend calculated by using the median exposure in each quartile, specific to sex, for all exposures except for supplement calcium, which was calculated using the actual categories (ie, 1, 2, and 3) for both sexes.
‡
Supplemental calcium was categorized based on visually inspecting the distribution of the variable.
Information & Authors
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© 2014 by American Society of Clinical Oncology.
History
Published online: June 23, 2014
Published in print: August 01, 2014
Authors
Author Contributions
Conception and design: Baiyu Yang, Marjorie L. McCullough, Peter T. Campbell
Financial support: Susan M. Gapstur, Peter T. Campbell
Administrative support: Susan M. Gapstur, Peter T. Campbell
Provision of study materials or patients: Marjorie L. McCullough, Susan M. Gapstur, Peter T. Campbell
Collection and assembly of data: Marjorie L. McCullough, Susan M. Gapstur, Eric J. Jacobs, Peter T. Campbell
Data analysis and interpretation: All authors
Manuscript writing: All authors
Final approval of manuscript: All authors
Disclosures
Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.
Funding Information
Supported by the American Cancer Society.
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Article Citation
Calcium, Vitamin D, Dairy Products, and Mortality Among Colorectal Cancer Survivors: The Cancer Prevention Study-II Nutrition Cohort. JCO 32, 2335-2343(2014).
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Journal of Clinical Oncology 2014 32:22, 2335-2343
Journal of Clinical Oncology 2014 32:22, 2335-2343
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