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. Author manuscript; available in PMC: 2014 Feb 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2012 Nov 20;22(2):286–294. doi: 10.1158/1055-9965.EPI-12-1060

VEGETARIAN DIETS AND THE INCIDENCE OF CANCER IN A LOW-RISK POPULATION

Yessenia Tantamango-Bartley 1, Karen Jaceldo-Siegl 1,2, Jing Fan 1, Gary Fraser 1
PMCID: PMC3565018  NIHMSID: NIHMS423289  PMID: 23169929

Abstract

Background

Cancer is the second leading cause of death in the US. Dietary factors account for at least 30% of all cancers in Western countries. Since people do not consume individual foods but rather combinations of them, the assessment of dietary patterns may offer valuable information when determining associations between diet and cancer risk.

Methods

We examined the association between dietary patterns (non-vegetarians, lacto, pesco, vegan, and semi-vegetarian) and the overall cancer incidence among 69,120 participants of the Adventist Health Study-2. Cancer cases were identified by matching to cancer registries. Cox-proportional hazard regression analysis was performed to estimate hazard ratios, with “attained age” as the time variable.

Results

2,939 incident cancer cases were identified. The multivariate HR of overall cancer risk among vegetarians compared to non-vegetarians was statistically significant (HR=0.92; 95%CI: 0.85, 0.99) for both genders combined. Also, a statistically significant association was found between vegetarian diet and cancers of the gastrointestinal tract (HR=0.76; 95%CI: 0.63, 0.90). When analyzing the association of specific vegetarian dietary patterns, vegan diets showed statistically significant protection for overall cancer incidence (HR=0.84; 95%CI: 0.72, 0.99) in both genders combined and for female-specific cancers (HR=0.66; 95%CI: 0.47, 0.92). Lacto-ovo-vegetarians appeared to be associated with decreased risk of cancers of the gastrointestinal system (HR=0.75; 95%CI: 0.60, 0.92).

Conclusion

Vegetarian diets seem to confer protection against cancer.

Impact

Vegan diet seems to confer lower risk for overall and female-specific cancer compared to other dietary patterns. The lacto-ovo-vegetarian diets seem to confer protection from cancers of the gastrointestinal tract.

Keywords: cancer, vegetarian dietary patterns, diet, vegan, lacto-ovo-vegetarians

INTRODUCTION

Cancer is the leading cause of death worldwide (1) and the second leading cause of death in the United States (US), exceeded only by heart disease. According to the American Cancer Society, about 1,638,910 new cancer cases are expected to be diagnosed in 2012 and about 577,190 Americans are expected to die of cancer, more than 1,500 people a day.(2)

It is estimated that more than half of all cancer cases and deaths worldwide are potentially preventable. Diet and nutrition are estimated to account for approximately 30% of all cancers in developed countries and 20% in developing countries.(3) Dietary patterns allow estimates of disease associations beyond those for single food items or nutrients, and include the total diet.(4) Several studies(511) have been published that address the relationship between dietary factors and total cancer risk. It has been suggested that vegetarian diets are inversely related to overall cancer incidence(9), although not all studies agree. In addition many results for specific cancers are inconsistent between studies. This lack of clarity may result from the heterogeneity of vegetarian diets between subjects and in different countries, as they may range greatly in the ratio of animal to plant food eaten, the quality of food, cooking methods, the limitations of measures used to quantify dietary intake, as well as other associated lifestyle factors that may produce an impact on the risk of cancer.(10, 12)

To our knowledge there are no prospective studies that have examined the association of more specific vegetarian subtypes (lacto-ovo-vegetarian, pesco-vegetarians, and vegans), semi-vegetarian and non-vegetarian diets, and overall cancer incidence. Thus, we sought to investigate the association of dietary patterns and cancer incidence in a low-risk population of men and women who participated in the Adventist Health Study-2 (AHS-2). Adventists comprise a study population with a large range of dietary habits that provides an uncommon unique opportunity for investigating dietary determinants of cancer. We present here data and results concerning associations between dietary patterns and overall or broad groupings of incident cancers in this population. This preliminary work precedes analyses of site-specific cancers as we await longer follow-up to provide additional numbers of cancers and adequate statistical power for such analyses.

MATERIALS AND METHODS

Subjects

AHS-2 is a prospective-cohort study that includes 96,000 subjects. As matching to find incident cancers has as yet been conducted in only 38 U.S. states and Washington DC for a portion of the follow-up time, this reduces the number of subjects available for these analyses to 69,120 participants.

The AHS-2 began in 2002 as a study among Adventist church members throughout the USA and Canada. The scope of the AHS-2 is to investigate the role of various foods and nutrients, other lifestyle factors and metabolic risk indicators that may be involved in cancer causation. Details of how members of this study were identified and how their dietary and other data were obtained have been described elsewhere.(13)

Dietary assessment

Dietary intake was assessed with the use of a validated self-administered mailed food frequency questionnaire (FFQ).(14) The FFQ contains a list of over 200 food items including fruits, vegetables, legumes, grains, oils, dairy products including eggs, meats (red meat, poultry and fish), beverage, and commercially prepared products such as dietary supplements, dry cereals, meat substitutes, and soy milk. Participants were asked to report their average frequency of intake and serving size during the past year, using predefined frequency categories according to the food under evaluation. Food variables that were of interest for this analysis included: red meat, poultry, fish, eggs, and dairy products. The frequency categories for all red meat, poultry and fish variables ranged from “never or rarely” to “2+times per day” and from “never or rarely” to “6+ times per day” for dairy products. For serving size, 3 possible categories were available: standard, ½ or less and ½ or more. Information on the intake of meat, fish and dairy was used to categorize subjects according to their vegetarian status. The meat variable was the composite of red meat (hamburger, ground beef, processed beef and lamb) and poultry (chicken, turkey, processed chicken or turkey). Fish included salmon, white fish, tuna, and other fish. The dairy variable was the composite of cheddar cheese, butter, milk, low fat milk, cottage cheese, cream cheese, low fat cheese, evaporated milk, regular yogurt, low fat yogurt, other dairy product, ice cream, ice milk, meal replacement drink, and hot chocolate. Thus, the following classification was obtained to assess vegetarian status: vegan, lacto-ovo-vegetarians, pesco-vegetarian, semi-vegetarian, and non-vegetarian. Vegans ate red meat, poultry, fish, eggs, and dairy < 1 per month; lacto-ovo-vegetarians ate red meat, poultry, and fish <1 per month, and eggs and dairy ≥ 1 per month; pesco-vegetarians consumed red meat and poultry < 1 per month, and fish ≥ 1 per month; semi-vegetarians ate red meat, poultry, fish 1 per month to 1 per week, and eggs or dairy at any level; and non-vegetarians, red meat, poultry, fish > 1 per week, and eggs or dairy at any level.

This questionnaire also included questions about demographic characteristics, past medical history, family history of cancer, and lifestyle factors including exercise, smoking status and alcohol intake.

Cancer ascertainment

Cancer cases were identified by computer- matching of AHS-2 study members to state tumor registries. At this time matches have been made with the following states: Alaska, Alabama, Arkansas, Arizona, California, Colorado, Connecticut, Washington DC, Delaware, Florida, Hawaii, Iowa, Illinois, Indiana, Kansas, Kentucky, Massachusetts, Maryland, Michigan, Minnesota, Montana, Mississippi, North Caroline, North Dakota, Nebraska, New Jersey, New York, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Caroline, Texas, Utah, Vermont, Virginia, Washington, and Wyoming.

New cases of overall cancers comprised only the first malignancy diagnosed during the follow-up period and subjects with previous cancers were excluded from analyses. Cancer site was identified using the International Classification of Diseases-10 (ICD-10-CM).(15) All new cancer cases were evaluated with exception of non-melanoma skin cancer. Cancers were also grouped by anatomical system but only digestive (C15–C26), respiratory and intra-thoracic (CC30–C39), urinary tract (C64–C68), female cancers (C50–C58) and male cancers (C60–C63) were assessed in this study. Cancer cases of a specific anatomical system were included if they were the first malignancy occurred for that specific group but not necessarily the first overall malignancy diagnosed during the study period. The definition of cancer in each anatomical system is provided in a footnote to table 4.

TABLE 4.

Age-adjusted and Multivariate adjusted hazard ratio of anatomical cancer sites associated with vegetarian status and specific dietary patterns.

Variables Person at risk # Events Person-Years HRa (95%CI) HRb,c (95%CI) HRd (95%CI) p-valuee
GIT
Non – Vegetarian 33736 260 142083.07 1.00 1.00 1.00
Vegetarian 35384 235 149249.07 0.72 (0.61 – 0.86) 0.76 (0.63 – 0.90) 0.77 (0.63 – 0.93) 0.002
  Lacto – vegetarian 19735 131 82469.72 0.72 (0.58 – 0.89) 0.75 (0.60 – 0.93) 0.76 (0.61 – 0.94) .009
  Pesco - vegetarian 6846 46 29672.61 0.73 (0.53 – 1.00) 0.78 (0.56 – 1.07) 0.79 (0.57 – 1.09) .13
  Semi-vegetarian 3881 23 16208.05 0.64 (0.42 – 0.99) 0.73 (0.48 – 1.13) 0.74 (0.48 – 1.14) .16
  Vegan 4922 35 20898.69 0.81 (0.57 – 1.15) 0.78 (0.54 – 1.13) 0.80 (0.55 – 1.17) .19
RT
Non – Vegetarian 33736 98 142366.02 1.00 1.00 1.00
Vegetarian 35384 72 149517.29 0.59 (0.43 – 0.80) 0.77 (0.55 – 1.06) 0.75 (0.54 – 1.04) 0.11
  Lacto – vegetarian 19735 46 82630.99 0.67 (0.47 – 0.96) 0.91 (0.63 – 1.33) 0.85 (0.61 – 1.30) .65
  Pesco - vegetarian 6846 10 29719.82 0.42 (0.22 – 0.81) 0.53 (0.28 – 1.03) 0.52 (0.27 – 1.00) .06
  Semi – vegetarian 3881 8 16218.93 0.60 (0.29 – 1.23) 0.73 (0.37 – 1.47) 0.72 (0.34 – 1.53) .38
  Vegan 4922 8 20947.55 0.49 (0.24 – 1.00) 0.62 (0.30 – 1.28) 0.59 (0.28 – 1.23) .20
UT
Non – Vegetarian 33736 79 142366.40 1.00 1.00 1.00
Vegetarian 35384 115 149379.29 1.16 (0.87 – 1.55) 1.17 (0.87 – 1.57) 1.21 (0.89 – 1.65) 0.30
  Lacto – vegetarian 19735 60 82555.48 1.07 (0.77 – 1.51) 1.08 (0.76 – 1.54) 1.13 (0.79 – 1.61) .66
  Pesco - vegetarian 6846 17 29704.93 0.88 (0.52 – 1.49) 0.88 (0.51 – 1.52) 0.93 (0.54 – 1.60) .65
  Semi – vegetarian 3881 18 16205.68 1.66 (0.99 – 2.77) 1.56 (0.93 – 2.61) 1.59 (0.91 – 2.78) .09
  Vegan 4922 20 20913.20 1.51 (0.92 – 2.46) 1.57 (0.96 – 2.57) 1.73 (1.05 – 2.84) .07
MC
Non -Vegetarian 11813 264 48588.34 1.00 1.00 1.00
Vegetarian 12633 289 51797.25 0.93 (0.78 – 1.10) 0.93 (0.42 – 2.06) 0.94 (0.42 – 2.07) 0.86
  Lacto – vegetarian 7275 171 29716.85 0.61 (0.78 – 1.15) 0.94 (0.77 – 1.15) 0.95 (0.66 – 1.25) .56
  Pesco – vegetarian 2301 54 9589.94 0.91 (0.68 – 1.22) 0.91 (0.66 – 1.25) 0.91 (0.66 – 1.26) .56
  Semi – vegetarian 1226 30 4875.19 1.05 (0.72 – 1.53) 1.11 (0.75 – 1.64) 1.12 (0.76 – 1.65) .59
  Vegan 1831 34 7615.27 0.78 (0.54 – 1.11) 0.81 (0.57 – 1.16) 0.81 (0.57 – 1.17) .24
FC
Non – Vegetarian 21923 387 92416.54 1.00 1.00 1.00
Vegetarian 22751 414 96061.37 0.97 (0.84 – 1.11) 0.93 (0.81 – 1.07) 0.97 (0.84 – 1.13) 0.33
  Lacto - vegetarian 12460 245 51972.44 1.05 (0.90 – 1.24) 1.01 (0.85 – 1.19) 1.04 (0.87 – 1.25) .92
  Pesco - vegetarian 4545 74 19796.82 0.85 (0.67 – 1.09) 0.88 (0.69 – 1.12) 0.92 (0.71 – 1.19) .29
  Semi-vegetarian 2655 56 11120.57 1.12 (0.85 – 1.48) 1.02 (0.74 – 1.40) 1.03 (0.75 – 1.42) .89
  Vegan 3091 39 13171.54 0.66 (0.48 – 0.92) 0.66 (0.47 – 0.92) 0.71 (0.50 – 1.01) .01

NOTE: P-Y: Person-Years; IR : Incidence Rate; HR: Hazard Ratio; CI: Confidence Interval

GIT includes cancer of the gastrointestinal tract which includes: esophagus, stomach, small intestine, colon, liver and bile ducts, gallbladder, biliary tract, pancreas

RT includes cancer of the respiratory tract and intra-thoracic organs which includes: nasal cavity, middle ear, larynx, trachea, bronchus, lung, heart, mediastinum, and pleura.

UT includes cancer of the urinary tract which includes: renal pelvis, ureter, kidney, and bladder.

MC All male cancer which includes: prostate, penis and testis

FC includes all female cancer which includes: female breast, vulva, vagina, cervix uteri, corpus uteri, endometrial, uterus, ovary

a

HR adjusted by age

b

Multivariate HR model adjusted by race, family history of cancer, education, smoking, alcohol, age at menarche, pregnancies, breastfeeding, oral contraceptives, hormone replacement therapy, and menopause status. This multivariate HR is applicable for all anatomical cancer sites except male –specific cancers.

c

Multivariate HR model adjusted by race, family history of cancer, education, smoking, and alcohol. This multivariate HR is applicable only for male –specific cancers.

d

Multivariate HR including BMI

e

p-value for the multivariate HR without BMI

Statistical Analysis

The statistical package SAS, version 9.2 was used for the analyses of this study. Guided imputation(16) was used for the small amount of missing data in the dietary variables used for this study.

Socio-demographic characteristics of the population under study were presented after standardization by age, gender and race.(17) Person-years of follow-up time were calculated from the date of the baseline questionnaire until the date of a cancer diagnosis, death, relocation outside the above-named registry areas, or date that complete data was available at the registry of state of residence, whichever occurred first. Attained-age was the time variable and all cox-proportional hazard models were left-censored. Univariate analysis was performed initially to evaluate the association between individual potential predictor factors and the overall cancer incidence. Multivariate cox-regression models were developed to estimate cancer hazard ratios (HR) and 95% Confidence Intervals (CI). A basic model that included the dependent variables of interest, gender, race, and education was built first. Other candidate covariates were selected based on review of the literature and added to the basic model. The final model included the basic model plus paternal and/or maternal family history of cancer, smoking habits, alcohol intake, and female variables (age at menarche, pregnancies, menopausal status, use of hormone replacement therapy, and oral contraceptives). The final multivariate hazard rates and confidence intervals came from five independent datasets with imputed originally missing dietary data, and were obtained using means of the five sets of β coefficients, and the required functions of the corresponding within- and between-dataset variances.(18)

Cox proportional hazards multivariable analyses were developed for the incidence of overall cancers and specific cancers according to the selected anatomical systems. Sex-specific analyses were performed for the overall cancer incidence analyses, as necessary. Otherwise female-specific variables were nested within gender. Dietary patterns were assessed as both specific dietary patterns (non-vegetarian, lacto-vegetarian, pesco-vegetarian, semi-vegetarian, and vegan), or in other analyses as just vegetarian (latter four specific categories) or non-vegetarian.

Elevated body weight has been linked with increased risk of some cancers. The relationship between some site-specific cancers and obesity is probably complex and the exact mechanisms whereby obesity elevates cancer risk are not clearly understood. However since dietary patterns have a strong correlation with BMI and BMI may act as intermediate causal variable between diet and cancer risk, for this study, final multivariate HRs were reported both for models excluding and including BMI.

RESULTS

During 285,978 person-years or an average of 4.14 years of follow-up, we identified 2,939 cancer cases in both men and women.

Baseline characteristics of the study population according to incident cancer status are presented in table 1. The median age of cancer diagnosis in this population was 59 years old. Cancer cases were older and were more likely to have a positive family history of cancer. A higher proportion of men than women developed incident cancer. Cases also tended to have a higher BMI, less education, were less physically active, had slightly less frequent consumption of alcohol, but more commonly had a history of smoking.

TABLE 1.

Socio-demographic and lifestyle characteristics of the participants of the Adventist Health Study- 2, according to incident cancer status.

Variable Cancer (%) No incident cancer (%) p-value
Gender  Male 5.05 94.95 <.0001
 Female 3.81 96.19
Age  30–50 years 1.47 98.53 <.0001
 51–70 years 4.32 95.68
 71+ years 7.79 92.21
Race  White 4.41 95.59 .0003
 Black 3.77 96.23
Education  ≤High School 4.77 95.23 .0002
 Some College 4.16 95.84
 College grad+ 4.09 95.91
BMI  <25 kg/m2 4.12 95.88 .02
 25–30 kg/m2 4.54 95.46
 >=31 kg/m2 4.07 95.93
Family History  Yes 5.26 94.74 <.0001
 No 3.70 96.30
Alcohol  Ever 3.97 96.03 .002
 Never 4.45 95.55
Smoking  Ever 4.73 95.27 .002
 Never 4.13 95.87
Exercise  Low 4.71 95.29 .001
 Medium 4.33 95.67
 High 3.99 96.01

Age, gender and race-standardized socio-demographic characteristics of the study population according to dietary pattern are shown in Table 2. A higher proportion of females were non-vegetarians compared to males. Non-vegetarians were younger while pesco-vegetarians were older. As compared to Whites, Blacks were more likely to adopt pesco-vegetarian and non-vegetarian diets. Non-vegetarians were less educated whereas lacto-ovo-vegetarians had the highest level of education. Large differences were observed in BMI with non-vegetarians having higher BMI (mean=28.6Kg/m2) than all vegetarian groups (mean = 25.8 Kg/m2), and vegans having the lowest proportion of overweight and obese participants. The mean BMI observed among the specific vegetarian groups were: 24.0 Kg/m2 for vegans; 25.9Kg/m2 for lacto-vegetarians, 26.12 Kg/m2 for pesco-vegetarians, and 27.1 Kg/m2 for semi-vegetarians. Non-vegetarians were more likely to have ever consumed alcohol or smoked cigarettes and lacto-ovo-vegetarians were the least likely. As compared to other vegetarian groups, a higher proportion of non-vegetarians reported ever use of oral contraceptives and hormone replacement therapy whereas vegans had the lowest proportions.

TABLE 2.

Age-gender-race Adjusteda Socio-demographic and lifestyle characteristics of the participants of the Adventist Health Study- 2 by dietary patterns.

Variable Non-Vegetarian Lacto-Vegetarian Pesco-Vegetarian Semi-Vegetarian Vegan P-value
Gender  Male 35.66 36.24 33.89 31.09 36.94 <.0001
 Female 64.34 63.76 66.11 68.91 63.06
Age  30–50 years 33.39 29.79 26.69 29.72 29.55 <.0001
 51–70 years 45.76 43.58 44.48 42.91 46.28
 71+ years 20.85 26.63 28.83 27.37 24.17
Race  White 68.60 87.48 64.95 83.59 80.38 <.0001
 Black 31.40 12.52 35.05 16.41 19.62
Education  ≤High School 25.12 14.53 19.38 22.04 17.47 <.0001
 Some College 30.17 24.32 25.88 27.63 37.86
 College grad+ 44.71 61.15 54.74 50.33 44.67
BMI  <25 kg/m2 30.73 47.66 48.21 39.42 65.31 <.0001
 25–30 kg/m2 37.33 33.87 35.10 36.79 24.30
 >=31 kg/m2 31.94 18.47 16.69 23.79 10.38
Family  Yes 34.58 37.82 34.15 35.68 35.64 <.0001
History  No 65.42 62.18 65.85 64.32 64.36 <.0001
Alcohol  Ever 48.36 27.85 37.55 39.17 34.31 <.0001
 Never 51.64 72.15 62.45 60.83 65.69
Smoking  Ever 25.58 12.27 16.80 19.99 15.86 <.0001
 Never 74.42 87.73 83.20 81.01 84.14
Exercise  Low 21.55 19.80 18.97 20.20 17.46 <.0001
 Medium 32.58 35.69 32.87 34.99 37.86
 High 45.87 44.51 48.16 44.81 44.67
OC  Ever 38.67 36.67 36.48 39.73 32.27 <.0001
 Never 61.33 63.33 63.52 60.27 67.73
HRT  Ever 22.43 20.39 20.95 23.80 16.24 <.0001
 Never 77.58 79.61 79.05 76.20 83.76
Menopausal Status  Menopausal/Post-menopausal 51.28 52.44 50.96 52.34 52.52 <.0001
 Pre-menopausal 48.72 47.56 49.04 47.66 47.48
a

Standardized as appropriate

Table 3 shows the age-adjusted hazard ratios (HR) as well as multivariate HR and 95% confidence intervals (95% CI) of overall cancer risk by vegetarian status, stratified by sex, with adjustment for race, family history of cancer, education, smoking, alcohol, age at menarche, pregnancies, breastfeeding, use of oral contraceptives, hormone replacement therapy, and menopause status. Vegetarian diets confer some protective association for the risk of overall cancer (HR=0.92, 95%CI: 0.85, 0.99). However, in sex-specific analyses, no significance was obtained for either males or females separately.

TABLE 3.

Age-adjusted and multivariate adjusted hazard ratio (HR) of the association between vegetarian status and specific dietary patterns and overall cancer incidence.

DIETARY PATTERNS
Non-Vegetarian Vegetariana Lacto-Vegetarian Pesco-Vegetarian Semi-Vegetarian Vegan
BOTH MALES AND FEMALES
Person at risk 33736 35384 19735 6846 3881 4922
Number of Events 1413 1526 878 276 182 190
Person-Years 139596.95 146381.72 80858.84 29128.40 15830.39 20564.08
HRb (95%CI) Reference 0.91 (0.85 – 0.98) 0.94 (0.86 – 1.02) 0.84 (0.74 – 0.96) 1.001 (0.86 – 1.17) 0.83 (0.71 – 0.97)
HRc (95%CI) Reference 0.92 (0.85 – 1.00) 0.95 (0.86 – 1.04) 0.89 (0.77 – 1.03) 0.98 (0.83 – 1.18) 0.86 (0.73 – 1.00)
HRd (95%CI) Reference 0.92 (0.85 – 0.99) 0.93 (0.85 – 1.02) 0.88 (0.77 – 1.01) 0.98 (0.82 – 1.17) 0.84 (0.72 – 0.99)
p-valuee .03 .14 .06 .81 0.03*
MALES
Person at risk 11813 12633 7275 2301 1226 1831
Number of Events 592 643 380 114 72 77
Person-Years 47990.38 51141.14 29317.07 9480.37 4798.89 7544.81
HRb (95%CI) Reference 0.89 (0.79 – 0.99) 0.90 (0.79 – 1.03) 0.82 (0.67 – 1.00) 1.10 (0.87 – 1.41) 0.77 (0.61 – 0.97)
HRf (95%CI) Reference 0.92 (0.81 – 1.03) 0.92 (0.80 – 1.06) 0.88 (0.71 – 1.09) 1.11 (0.85 – 1.45) 0.81 (0.64 – 1.02)
HRg (95%CI) Reference 0.90 (0.80 – 1.01) 0.91 (0.79 – 1.05) 0.87 (0.70 – 1.07) 1.09 (0.83 – 1.43) 0.79 (0.62 – 1.00)
p-valuee .08 .19 .19 .51 .05
FEMALES
Person at risk 21923 22751 12460 4545 2655 3091
Number of Events 821 883 498 162 110 113
Person-Years 91606.57 95240.58 51541.77 19648.03 11031.50 13019.27
HRb (95%CI) Reference 0.93 (0.84 – 1.02) 0.96 (0.86 – 1.07) 0.85 (0.72 – 1.19) 0.98 (0.80 – 1.19) 0.88 (0.72 – 1.07)
HRc (95%CI) Reference 0.93 (0.84 – 1.03) 0.96 (0.85 – 1.08) 0.90 (0.74 – 1.09) 0.92 (0.73 – 1.16) 0.91 (0.75 – 1.11)
HRd (95%CI) Reference 0.92 (0.83 – 1.02) 0.95 (0.84 – 1.07) 0.94 (0.77–1.13) 0.92 (0.73 – 1.16) 0.93 (0.77 – 1.14)
p-valuee .11 .36 .50 .47 .50

NOTE: P-Y: Person-Years; IR: Incidence Rate; HR: Hazard Ratio; CI: Confidence Interval

a

Vegetarian group includes: lacto-ovo-vegetarian, pesco-vegetarian, semi-vegetarian, and vegan

b

HR adjusted by age

c

HR adjusted by race, family history of cancer, BMI, education, smoking, alcohol, age at menarche, pregnancies, breastfeeding, oral contraceptives, hormone replacement therapy, and menopause status.

d

HR adjusted by race, family history of cancer, education, smoking, alcohol, age at menarche, pregnancies, breastfeeding, oral contraceptives, hormone replacement therapy, and menopause status.

e

p-value for the multivariate HR without BMI

f

HR adjusted by race, family history of cancer, BMI, education, smoking, and alcohol.

g

HR adjusted by race, family history, education, smoking, and alcohol.

When analyzing the association of dietary patterns (see Table 3) with overall cancer risk, only vegan diets showed a statistically significant protective association (p-value=0.03) when both sexes are combined. This protection seems to be mainly in males on sex-specific analysis, although then not quite statistically significant (HR=0.79, 95%CI: 0.62, 1.003).

Multivariate analysis for cancers of different anatomic systems (Table 4) showed a protective association between vegetarians and cancer of the gastrointestinal tract (HR-0.76; 95%CI: 0.63–0.90; (p =0.002). Further analysis showed that this protection was statistically significant in lacto-vegetarians (HR=0.75; 95% CI: 0.60 – 0.93; p=0.009). Although cancers specific to females were not significantly associated with vegetarian or non-vegetarian diets, a statistically significant protective association was observed for those who adhered to vegan diets (HR=0.66; 95%CI: 0.47–0.92; p=0.01). Pesco-vegetarian diet showed a decreased point estimate for the risk of cancer of the respiratory tract. However, no statistically significant association was achieved (HR=0.53; 95%CI: 0.28–1.03; p=0.06).

A set of similar multivariate models that included BMI as covariate were also examined. No important changes were identified for overall cancer risk among the different dietary patterns compared to the multivariate models without BMI. However, in these models effects for all vegetarians (HR=0.92; 95%CI: 0.85–1.00, p=.05) and vegans (HR=0.86; 95%CI: 0.73–1.00; p=.06) achieved only borderline significance. When stratified by gender, again no important differences were observed in the HR for overall cancers among the different dietary patterns compared to analyses without BMI. The protective association conferred by vegetarian (HR=0.77; 95% CI: 0.63–0.93; p=.006) and lacto-ovo-vegetarian (HR=0.76; 95% CI: 0.61–0.94; p=.001) diets remained and were statistically significant, for cancers of the gastrointestinal system. The point estimate for female-specific cancers among vegans (HR=0.71; 95%CI: 0.50–1.01; p=.06) increased slightly compared to the analysis without BMI (HR=0.66; 95%CI: 0.47–0.92; p=.01), perhaps supporting the idea that this diet acts in part through effects on BMI.

Multivariate models including energy intake as a covariate were also assessed but no important differences were observed in the HR for overall cancer and system-specific cancers according to dietary pattern.

DISCUSSION

In this cohort a clear association between vegetarianism (as a single category) and all cancers, was found. This association was clearest in the vegan diet, where there was a mild protection for overall cancer risk. When dividing cancers to anatomical site or gender-specific groupings some statistically significant associations were also found. Specifically vegetarians had less gastro-intestinal cancer (HR=0.76), especially among lacto-ovo vegetarians (HR=0.75). In addition, vegan women experienced fewer female-specific cancers (HR=0.66). It is also noteworthy that, although often not statistically significant, the great majority of hazard ratio point estimates for effects of vegetarian status or its sub-types are less than 1.0. Exceptions are only male semi-vegetarians (table 3), lacto and semi-vegetarians in female-specific cancers and urinary tract cancers (table 4). When adding BMI into the multivariate models most of the statistically relative risks remain significant, but move slightly toward the null suggesting that BMI may be one mediator of the dietary effects.

Few prospective studies have looked at associations between vegetarian diets and cancer risk.(8, 9, 19) Among the Seventh-day Adventist population, cancer risk for all sites combined (20) has been previously reported as lower than an external reference population. Since many Adventists do not consume meat regularly, it is possible that low meat consumption, or the replacement sources of energy for the meat, would confer this protection. Furthermore, when exploring dietary associations with the risk of specific cancers, analyses in the older AHS-1 cohort data found evidence that meat consumption is directly associated with the risk of specific cancer-sites and also that greater consumption of vegetables and fruits predicts lower risk of certain cancer sites.(21) Further evidence comes from the pooled analysis of data from two prospective studies in the United Kingdom, namely the Oxford Vegetarian Study and, the European Prospective Investigation into Cancer and Nutrition-Oxford (EPIC-Oxford) cohort where 12% decreased risk of overall cancer was observed among vegetarians compared to meat eaters after adjustment for potential confounding factors.(8) However, associations between the vegan diet and cancer were not evaluated separately because of the small number of cancers reported.

A link has been suggested between specific plant foods such as fruits and vegetables, plant constituents such as fiber, antioxidants, other phytochemicals, maintaining a healthy weight, and a lower incidence of cancer.(22) Vegetarians and vegans generally include greater amounts of plant foods, avoid the intake of meat, and often adopt other healthy lifestyles compared to non-vegetarians.(12) Thus there is reason to suspect that vegetarian diets may protect against cancer. Factors associated with the high fiber content in vegetarian diets promote increased insulin sensitivity.(23) A cross-sectional study suggests, in addition, that a plant-based diet is associated with lower circulating levels of total IGF-I and higher levels of IGFBP-I and IGFBP-2 compared with a meat-eating or even a lacto-ovo-vegetarian diet.(24) Insulin and IGF-I act as promoters for most normal and pre-neoplastic tissues. Therefore, their down- regulation may reduce cancer rates.(2527)

In our study, an inverse association was evident between vegan diets and female-specific cancers. Much of the known epidemiology of gynecologic and breast cancers can be explained by hormonal factors, and the only definite lifestyle effects on risks of these cancers are obesity, physical activity, and alcohol consumption.(28) Vegan diets conceivably protect against cancers linked to obesity, elevated IGF-1 levels, and insulin resistance.(25, 28) As there is evidence that obesity is a risk factor for several common female-specific cancers (29) and that high levels of IGF-I may also increase the risk of some female-specific cancers (3032), these are potentially protective pathways.

Vegans also consume substantial amounts of soybeans or foods made from soy beans. Soy foods are rich in phytoestrogens which have been hypothesized to reduce breast cancer risk.(28) Finally, the low intake of protein and the lower frequency of obesity in this group, suggests a lower energy intake that may well delay the onset of menarche and also influence hormone status at other periods of life. (33, 34)

Our results suggest that lacto-ovo-vegetarians compared to meat eaters are inversely associated with the development of cancers of the gastrointestinal system. Previous studies have strongly suggested that dairy foods are inversely associated with cancers of the digestive system in both men and women,(5) this being especially so for colorectal cancer.(5, 33, 35, 36) Similar effects for gastric (3739), esophageal(39) and pancreatic(40) cancer are either controversial or absent. It is important to note that in those studies with null or positive (rather than negative) associations, high fat dairy products were generally the main exposures of interest. Calcium has been shown to reduce proliferation, stimulate differentiation, and induce apoptosis in cells of the gastrointestinal tract.(41)

No statistically significant associations between dietary patterns and cancers of the respiratory tract, urinary tract and male cancers were observed. However, the point estimates, particularly in the pesco-vegetarian group, were in the protective direction for cancers of the respiratory and urinary system. Key and colleagues have reported similar inverse non-statistically significant associations between fish eaters and lung, kidney and bladder cancer incidence.(8) Further investigation is necessary with larger numbers in the future and also when considering specific cancers.

The major strength of our study is its prospective design and the validation of new cancers through cancer registries. Also, the unique lifestyle of the Adventist population with a wide variety of dietary habits, a very low percentage of alcohol consumption or cigarette smoking, reduces the possibility of confounding by these non-dietary factors.

The potential limitations of our study include unavoidable inaccuracies in the assessment of food consumption. It is likely that participants may have overestimated some foods generally considered beneficial due to social desirability. However, this type of misclassification should be non-differential, usually biasing the results toward the null. Further our published data(14) comparing questionnaire with six 24-hour dietary recall data suggests good validity for the foods used to determine the vegetarian categories.

The non-vegetarian reference group in AHS-2 was relatively low meat-consuming. Thus, if diets mainly based on animal products provide an adverse effect it is possible that the relatively low animal product intake of the non-vegetarians in this cohort could result in smaller observed effects. Low numbers, as yet, for pesco-vegetarians, semi-vegetarians, and vegans, limit our conclusions. Finally, although we did adjust for many potential risk factors available in our study for site-specific cancer, residual confounding by unknown or unmeasured risk factors may exist for some cancers.

In conclusion, this study suggests that vegan diets may be associated with a decrease in the incidence of all cancers combined, and specifically the risk of female-specific cancers when compared with non-vegetarians. Vegetarians (mainly lacto-ovo-vegetarians) as a combined group have lower risk of all cancers and gastrointestinal cancers than meat-eaters.

Acknowledgments

Financial Support: This study was funded as part of the NIH, the USDA and the WCRF grants received by the AHS-2

Cancer incidence data have been provided by the “Alaska Cancer Registry”, “Alabama State Cancer Registry”, “Arizona Cancer Registry”, “Arkansas Cancer Registry”, “California Cancer Registry”, “Colorado Cancer Registry”, “Connecticut Tumor Registry”, “District of Columbia Cancer Registry, District of Columbia Department of Health”, “Delaware Cancer Registry”, “Florida Cancer Data System”, “Hawaii Tumor registry”, “Iowa Cancer Registry”, “Illinois State Cancer Registry”, “Indiana State Department of Health”, “Kansas Cancer Registry”, “Kentucky Cancer Registry”, “Mississippi Cancer Registry”, “Maryland Cancer Registry, Center for Cancer Surveillance & Control, Dept. of Health & Mental Hygiene”, “Michigan’s Cancer Registry”, “Minnesota Cancer Surveillance System”, “Montana Central Tumor Registry, Montana Department of Public Health & Human Services”, “North Carolina State Center for Health Statistics”, “North Dakota Statewide Cancer Registry”, “Nebraska Dept. of Health & Human Services & Its medical record & Health information registries”, “New Jersey State Cancer Registry”, “New York State Cancer Registry”, “Ohio Cancer Registrar Association”, “Oklahoma Central Cancer Registry, Oklahoma State Department of Health”, “Oregon State Cancer Registry”, “Bureau of Health Statistics & Research, Pennsylvania Department of Health”, “Rhode Island Cancer Registry”, “South Carolina Cancer Registry”, “Texas Cancer Registry”, “Utah Department of Health”, “Vermont Cancer Registry”, “Virginia Cancer Registry”, “Washington State Cancer Registry”, “Wyoming Cancer Surveillance System”.

Grant Support

NIH – “Plant-based diet and risk of cancer” 1UO1 CA 152939

USDA – “Nutrition, diet and lifestyle research for longevity and healthy aging” 2010-38938-20924

WCRF – “Dairy meat, linoleic acid and soy consumption as risk factors for prostate, colorectal, and breast cancer in a cohort with a wide range of dietary habits: Adventist Health Study-2” 2009/93

Footnotes

Conflict of Interest: Authors declare no conflict of interest

The results reported here and the conclusions based on them are the sole responsibility of the authors.

References

  • 1.Ferlay J, Shin H-R, Bray F, Forman D, Mathers C, Parkin D. Estimates of wolrdwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893–917. doi: 10.1002/ijc.25516. [DOI] [PubMed] [Google Scholar]
  • 2.American Cancer Society. Cancer Facts & Figures 2012 [report on the internet] Atlanta (GA): American Cancer Society; 2012. [cited 2012 March 05]; [1227K bytes]. Available from: http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-031941.pdf. [Google Scholar]
  • 3.American Cancer Society. Global Cancer Facts and Figures 2nd Edition [report on the internet] Atlanta (GA): American Cancer Society; 2011. [cited 2012 March 05]; [8089K bytes]. Available from: http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-027766.pdf. [Google Scholar]
  • 4.Slattery M, Boucher K, Caan B, Potter J, Ma K. Eating patterns and risk of colon cancer. Am J Epidemiol. 1998;148:4–16. doi: 10.1093/aje/148.1.4-a. [DOI] [PubMed] [Google Scholar]
  • 5.Park Y, Leitzmann MF, Subar AF, Hollenbeck A, Schatzkin A. Dairy food, Calcium, and Risk of Cancer in the NIH-AARP Diet and Health Study. Arch Intern Med. 2009;169(4):391–401. doi: 10.1001/archinternmed.2008.578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Vecchia CL. Association between Mediterranean dietary patterns and cancer risk. Nutr Rev. 2009;67(Suppl 1):S126–S9. doi: 10.1111/j.1753-4887.2009.00174.x. [DOI] [PubMed] [Google Scholar]
  • 7.Williams MT, Hord NG. The Role of Dietary Factors in Cancer Prevention: Beyond Fruits and Vegetables. Nutr Clin Pract. 2005;20(4):451–9. doi: 10.1177/0115426505020004451. [DOI] [PubMed] [Google Scholar]
  • 8.Key T, Appleby P, Spencer E, Travis R, Allen N, Thorogood M, et al. Cancer incidence in British vegetarians. Br J Cancer. 2009;101(1):192–7. doi: 10.1038/sj.bjc.6605098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Key T, Appleby P, Spencer E, Travis R, Roddam A, Allen N. Cancer incidence in vegetarians: results from the European Prospective Investigation into Cancer and Nutrition (EPIC-Oxford) Am J Clin Nutr. 2009;89(5):1620S–6S. doi: 10.3945/ajcn.2009.26736M. [DOI] [PubMed] [Google Scholar]
  • 10.Fraser GE. Vegetarian diets: what do we know of effects on chronic common diseases? Am J Clin Nutr. 2009;89(Suppl):1607S–12S. doi: 10.3945/ajcn.2009.26736K. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.George SM, Park Y, Leitzmann MF, Freedman ND, Dowling EC, Reedy J, et al. Fruit and vegetable intake and risk of cancer: a prospective cohort study. Am J Clin Nutr. 2009;89:347–53. doi: 10.3945/ajcn.2008.26722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lanou AJ, Svenson B. Reduced cancer risk in vegetarians: an analysis of recent reports. Cancer Manag Res. 2011;3:1–8. doi: 10.2147/CMR.S6910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Butler TL, Fraser GE, Beeson WL, Knutsen SF, Herring RP, Chan J, et al. Cohort Profile: The Adventist Health Study-2 (AHS-2) Int J Epidemiol. 2008;37:260–5. doi: 10.1093/ije/dym165. [DOI] [PubMed] [Google Scholar]
  • 14.Jaceldo-Siegl K, Fan J, Sabaté J, Knutsen S, Haddad E, Beeson L, et al. Race-specific validation of food intake obtained from a comprehensive food frequency questionnaire: Adventist Health Study-2. Public Health Nutr. 2011;14(11):1988–97. doi: 10.1017/S1368980011000735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.2012 ICD-10-CM diagnosis codes [Internet] Neoplasms C00-D49. 2012 [cited 2011 June 20]; Available from: http://www.icd10data.com/ICD10CM/Codes/C00-D49.
  • 16.Fraser G, Yan R. Guided multiple imputation of missing data: using a subsample to strenghten the missing-at-random assumption. Epidemiology. 2007;18:246–52. doi: 10.1097/01.ede.0000254708.40228.8b. [DOI] [PubMed] [Google Scholar]
  • 17.Greenland S, Rothman KJ. Introduction to stratified analysis. In: Rothman KJ, Greenland S, Lash TL, editors. Modern Epidemiology. 3. Philadelphia: Lippincott Williams & Wilkins; 2008. pp. 258–281. [Google Scholar]
  • 18.Schafer JL. Inference by data augmentation. In: Cox D, Isham V, Keiding N, Reid N, Tong H, editors. Analysis of Incomplete Multivariate Data. 1. London, UK: Chapman & Hall; 1997. pp. 104–117.pp. 138–145. [Google Scholar]
  • 19.Fraser GE. Associations between diet and cancer, ischemic heart disease, and all-cause mortality in non-Hispanic white California Seventh-day Adventists. Am J Clin Nutr. 1999;70(suppl):532S–8S. doi: 10.1093/ajcn/70.3.532s. [DOI] [PubMed] [Google Scholar]
  • 20.Mills PK, Beeson WL, Philips RL, Fraser GE. Cancer incidence among California Seventh-day Adventist. Am J Clin Nutr. 1994;59 (suppl):1136S–42S. doi: 10.1093/ajcn/59.5.1136S. [DOI] [PubMed] [Google Scholar]
  • 21.Fraser GE. Diet and the Risk of Cancer. In: Roberts WC, editor. Diet, Life Expectancy, and Chronic Disease Studies of Seventh-day Adventist and Other Vegetarians. Loma Linda, California: Oxford University Press; 2003. pp. 85–88. [Google Scholar]
  • 22.World Cancer Research Fund, American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective [report on the internet] Washington (DC): AICR; 2007. [cited 2012 May 16]; [11.9M bytes]. Available from: http://eprints.ucl.ac.uk/4841/1/4841.pdf. [Google Scholar]
  • 23.Fukagawa NK, Anderson JW, Hageman G, Young VR, Minaker KL. High-carbohydrate, high-fiber diets increase peripheral insulin sensitivity in healthy young and old adults. Am J Clin Nutr. 1990;52:524–8. doi: 10.1093/ajcn/52.3.524. [DOI] [PubMed] [Google Scholar]
  • 24.Allen NE, Appleby PN, Davey GK, Kaas R, Rinaldi S, Key TJ. The associations of diet with serum insulin-like growth factor I and its main binding proteins in 292 women meat-eaters, vegetarians, and vegans. Cancer Epidemiol Biomarkers Prev. 2002;11:1441–8. [PubMed] [Google Scholar]
  • 25.McCarty MF. Vegan proteins may reduce risk of cancer, obesity, and cardiovascular disease by promoting increased glucagon activity. Med Hypotheses. 1999;53(6):459–85. doi: 10.1054/mehy.1999.0784. [DOI] [PubMed] [Google Scholar]
  • 26.Mizejewski G. Role of integrins in cancer: survey of expression patterns. Proc Soc Exp Biol Med. 1999;222(2):124–38. doi: 10.1177/153537029922200203. [DOI] [PubMed] [Google Scholar]
  • 27.Shen M-R, Hsu Y-M, Hsu K-F, Chen Y-F, Tang M-J, Chou C-Y. Insulin-like growth factor 1 is a potent stimulator of cervical cancer cell invasiveness and proliferation that is modulated by αvβ3 integrin signaling. Carcinogenesis. 2006;27(5):962–71. doi: 10.1093/carcin/bgi336. [DOI] [PubMed] [Google Scholar]
  • 28.Key TJ, Appleby PN, Rosell MS. Health effects of vegetarian and vegan diets. Proc Nutr Soc. 2006;65:35–41. doi: 10.1079/pns2005481. [DOI] [PubMed] [Google Scholar]
  • 29.Modesitt S, van Nagell J. The impact of obesity on the incidence and treatment of gynecologic cancers: a review. Obstet Gynecol Surv. 2005;60(10):683–92. doi: 10.1097/01.ogx.0000180866.62409.01. [DOI] [PubMed] [Google Scholar]
  • 30.Lukanova A, Lundin E, Toniolo P, Micheli A, Akhmedkhanov A, Rinaldi S, et al. Circulating levels of insulin-like growth factor-I and risk of ovarian cancer. Int J Cancer. 2002;101:549–54. doi: 10.1002/ijc.10613. [DOI] [PubMed] [Google Scholar]
  • 31.Brokaw J, Katsaros D, Willey A, Lu L, Su D, Sochirca O, et al. IGF-I in epithelial ovarian cancer and its role in disease progression. Growth Factors. 2007;25(5):346–54. doi: 10.1080/08977190701838402. [DOI] [PubMed] [Google Scholar]
  • 32.Renehan AG, Zwahlen M, Minder C, O’Dwyer ST, Shalet SM, Egger M. Insulin-like growth factor (IGF)-I, IGF binding protein-3, and cancer risk: systematic review and meta-regression analysis. Lancet. 2004;363(9418):1346–53. doi: 10.1016/S0140-6736(04)16044-3. [DOI] [PubMed] [Google Scholar]
  • 33.Phillips RL. Role of Life-Style and Dietary Habits in Risk of Cancer among Seventh-Day Adventists. Cancer Res. 1975;35:3513–22. [PubMed] [Google Scholar]
  • 34.O’Neil B. A Scientific review of the reported effects of vegan nutrition on the occurrence and prevalence of cancer and cardiovascular disease. Bioscience Horizons. 2010;3(2):197–212. [Google Scholar]
  • 35.Aune D, Lau R, Chan D, Vieira R, Greenwood D, Kampman E, et al. Diary products and colorectal cancer risk: a systematic review and meta-analysis of cohort studies. Ann Oncol. 2012;23(1):37. doi: 10.1093/annonc/mdr269. [DOI] [PubMed] [Google Scholar]
  • 36.Larsson SC, Bergkvist L, Rutergard J, Giovannucci E, Wolk A. Calcium and dairy food intakes are inversely associated with colorectal cancer risk in the cohort of Swedish Men. Am J Clin Nutr. 2006;83(3):667–73. doi: 10.1093/ajcn.83.3.667. [DOI] [PubMed] [Google Scholar]
  • 37.Thomson CA, LeWinn K, Newton TR, Alberts DS, Martinez ME. Nutrition and Diet in the Development of Gastrointestinal Cancer. Curr Oncol Rep. 2003;5:192–202. doi: 10.1007/s11912-003-0110-y. [DOI] [PubMed] [Google Scholar]
  • 38.Lissowska J, Gail MH, Pee D, Groves FD, Sobin LH, Nasierowska-Guttmejer A, et al. Diet and Stomach Cancer Risk in Warsaw, Poland. Nutr Cancer. 2009;48(2):149–59. doi: 10.1207/s15327914nc4802_4. [DOI] [PubMed] [Google Scholar]
  • 39.Silvera SN, Mayne ST, Risch H, Gammon MD, Vaughan TL, Chow W-H, et al. Food group and risk of subtypes or esophageal and gastric cancer. Int J Cancer. 2008;123:852–60. doi: 10.1002/ijc.23544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Thiebaut ACM, Jiao L, Silverman DT, Cross AJ, Thompson FE, Subar AF, et al. Dietary Fatty Acids and Pancreatic Cancer in the NIH-AARP DIet and Health Study. J Natl Cancer Inst. 2009;101:1001–11. doi: 10.1093/jnci/djp168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Lamprecht S, Lipkin M. Chemoprevention of colon cancer by calcium, vitamin D and folate: molecular mechanisms. Nat Rev Cancer. 2003;3:601–14. doi: 10.1038/nrc1144. [DOI] [PubMed] [Google Scholar]

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