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. Author manuscript; available in PMC: 2009 Aug 1.
Published in final edited form as: Int J Cancer. 2008 Aug 1;123(3):664–671. doi: 10.1002/ijc.23564

Dietary flavonoid intake and risk of cancer in postmenopausal women: The Iowa Women's Health Study

Gretchen J Cutler 1, Jennifer A Nettleton 1, Julie A Ross 2, Lisa J Harnack 1,2, David R Jacobs Jr 1,3, Carolyn G Scrafford 4, Leila M Barraj 4, Pamela J Mink 4,5, Kim Robien 1,2,*
PMCID: PMC2572165  NIHMSID: NIHMS73308  PMID: 18491403

Abstract

Flavonoids, which are found in certain plant foods, are thought to lower cancer risk through their antioxidant, antiestrogenic and antiproliferative properties. We examined the association of intake of total flavonoids and 7 flavonoid subclasses with risk of lung, colorectal, breast, pancreatic and upper aerodigestive cancer among women in a large prospective cohort study. Study participants were 34,708 postmenopausal women in the Iowa Women's Health Study who completed a food frequency questionnaire and were followed for cancer occurrence from 1986 through 2004. Flavonoid intake was estimated from 3 databases developed by the USDA Nutrient Data Laboratory (NDL). Hazard ratios (HR) for cancer risk were calculated across total flavonoid and flavonoid subclass intake categories. Interactions between smoking history and flavonoid intake were also examined. After multivariable adjustment, lung cancer incidence was inversely associated with intakes of flavanones (HR = 0.68; 95% CI: 0.53−0.86, all results highest vs. lowest quintile) and proanthocyanidins (HR = 0.75; 95% CI: 0.57−0.97). Among current and past smokers, those with intakes in the highest quintile for flavanones (HR = 0.66; 95% CI: 0.50−0.86), and proanthocyanidins (HR = 0.66; 95% CI; 0.49−0.89) had significantly lower lung cancer incidence than those in the lowest quintile. Similar associations were not seen in never smokers. Isoflavone intake was inversely associated with overall cancer incidence (HR = 0.93, 95% CI: 0.86−1.00). This study provides further support for a beneficial effect of flavonoid intake on lung cancer risk, especially among current and past smokers.

Keywords: flavonoids, lung cancer, colorectal cancer, breast cancer, postmenopausal women


In general, data from epidemiologic studies have supported an association between greater fruit and vegetable intake and a lower risk of cancer,1 but it is unclear which bioactive compounds are responsible, or if the associations are a function of synergistic effects of the whole food.2-4 Flavonoids are part of a large group of polyphenolic compounds found in foods of plant origin, including vegetables, fruits, legumes, tea and wine.2,3 There are ∼5,000 flavonoids, which are generally categorized into the following subclasses: flavonols, flavanones, flavones, flavan-3-ols, isoflavones and anthocyanidins.4 Proanthocyanidins are another important but often overlooked polyphenol subclass.5 The lower risk of cancer seen with greater fruit and vegetable intake may be explained through multiple biological effects of flavonoids including antioxidant activity, inflammation inhibition, antimutagenic and antiproliferative properties, and involvement in cell signaling, cell cycle regulation and angiogenesis.2-4 Although data from in vitro studies and animal models suggest that flavonoids have the ability to influence important cellular and molecular mechanisms related to carcinogenesis, data from human populations are limited and inconclusive.4

The association between flavonoid intake and risk of several cancers has been studied, but the most consistent findings have been for a reduced risk of lung cancer.2,4,6-12 Associations between flavonoid intake and risk of other cancers are less consistent. Several studies report a lower risk of colorectal,13,14 rectal15 or breast cancer16,17 with greater flavonoid intake, while others have found no statistically significant associations.7-9,15,18,19 Significant inverse associations have been reported between flavonoid intake and pancreatic cancer risk,20 and flavonoid intake and upper aerodigestive cancer risk.21-24 An earlier analysis in the Iowa Women's Health Study also reported inverse associations between flavonoid intake and pancreatic and upper aerodigestive cancer, although both were nonsignificant.15 The inconsistency seen in studies examining flavonoid intake and cancer risk may be attributed to differences in the various nutrient databases used across studies, each with incomplete information on flavonoid content in foods. Recently, the US Department of Agriculture (USDA) released 2 new databases, providing more complete information on flavonoid concentrations in foods than was previously available.25,26

The purpose of the current analysis was to examine the associations between flavonoid intake (total flavonoids and the following subclasses: flavonols, flavanones, flavones, flavan-3-ols, isoflavones, anthocyanidins and proanthocyanidins) and cancer incidence (total and breast, colorectal, lung, pancreatic and upper aero-digestive) in a large prospective cohort study of postmenopausal women using recently available nutrient composition information. Our hypothesis was that higher intake of total flavonoids and each flavonoid subclass would be associated with a lower risk of cancer. Likewise, we hypothesized that consumption of foods with high flavonoid content would be inversely related to risk of cancer.

Material and methods

Study design and population

The Iowa Women's Health Study (IWHS) is a prospective cohort study designed to examine the relation of lifestyle factors with cancer. In 1986, a mailed questionnaire was sent to 99,826 women between the ages of 55 and 69 years randomly drawn from the 1985 Iowa Department of Transportation list of licensed drivers. 41,836 women responded to the baseline questionnaire (42% response rate). Subjects were followed through 5 follow-up questionnaires (1987, 1989, 1992, 1997, 2004), and vital status was obtained through linkage to Iowa death records and the National Death Index.

Data collection

The baseline questionnaire collected information on education, physical activity, individual medical history and family cancer history, anthropometric variables, reproductive health and smoking history. Participants also completed a 127-item food frequency questionnaire (FFQ) developed and validated by Willett and coworkers,27,28 with reliability and validity demonstrated in the IWHS.29 The FFQ asked participants to report average consumption over the past year, including the following flavonoid-containing foods: fruit (15 items), vegetables (29 items), tea, chocolate and red wine. Although some important sources of flavonoids in the diet were not specifically included (e.g., onions and berries other than blueberries and strawberries), women were asked to report foods regularly eaten that were not included on the FFQ, and a few did so. A common unit or portion size was specified for each food, and response options ranged from “never or less than once per month” to “six or more times per day.” The questionnaire also assessed the use of multivitamins and single vitamin and mineral supplements. Daily intakes of nutrients were calculated using the Harvard Nutrient Database.

The development of the dietary flavonoid intake variables for analysis in IWHS is described in detail elsewhere.30 Briefly, the flavonoid content of food items in the FFQ were determined from 3 flavonoid food composition databases developed by the USDA Nutrient Data Laboratory (NDL).25,26,31 These databases include values for the following flavonoid classes: anthocyanidins, flavones, flavanones, flavonols, flavan-3-ols (monomers), isoflavones and proanthocyanidins (condensed tannins or flavan-3-ol polymers). Total proanthocyanidins include proanthocyanidins and flavan-3-ols. To calculate the flavonoid content of each participant's diet, the reported consumption frequency of each food as assessed by the responses on the FFQ was multiplied by the flavonoid content of each food. FFQ questions that asked about intake of multiple foods (e.g., fresh apples or pears) were assigned a value weighted according to the mean per capita consumption of each food in 1986 (baseline of IWHS).32 In the absence of such data, the USDA's Continuing Survey of Food Intake by Individuals was used.33 Foods that contained several ingredients (mixed dishes) were assigned a weighted value based on a USDA standard recipe.

Data on weight and body dimensions were self-reported.34 Body mass index was used as a measure of relative weight, and was calculated as weight (kg) divided by the square of height (m2). History of screening mammography was assessed as part of the 1989 follow-up questionnaire. Physical activity level was categorized into 3 levels based on responses to questions assessing moderate and vigorous activity.35

Incident cases of cancer were identified between 1986 and 2004 through linkage to the State Health Registry of Iowa, part of the National Cancer Institute's Surveillance, Epidemiology and End Results program (SEER). Person-years of follow-up were calculated from baseline until the first of one of the following 5 outcomes: date of cancer diagnosis, date of death (if death occurred in Iowa), midpoint of the interval between the date of last contact and date of death (if death occurred outside of Iowa), date of emigration from Iowa (if known), midpoint of the interval between the last follow-up contact and December 31, 2004 (if date of emigration from Iowa not known). All others contributed follow-up time until December 31, 2004.

Statistical analysis

For the analyses reported herein we excluded women who reported any cancer other than non-melanoma skin cancer at baseline (n = 3,830) or who were pre-menopausal at baseline (n = 569). Also, women were excluded if they left 30 or more food items blank on the food frequency questionnaire, or had a total energy intake less than 600 kcal/day or more than 5000 kcal/day (n = 2,712). Exclusion categories were not mutually exclusive. A sensitivity analysis was performed excluding participants diagnosed with cancer within the first 2 years after dietary assessment. Results were not significantly altered, and thus, these participants were included in the analysis.

Total daily flavonoid intake and intake of each flavonoid subclass (except anthocyanidins) were categorized into quintiles. Because of a skewed distribution and low intake in the majority of women, anthocyanidin intake was modeled as a 3-level variable (zero intake, < median, ≥ median). Selected baseline characteristics were examined according to total flavonoid intake quintiles. Cox proportional hazards regression (Proc PHREG, SAS institute, version 8.2), was used to estimate hazard ratios for all cancer, lung cancer, colorectal cancer, breast cancer, pancreatic cancer and upper aerodigestive cancer according to baseline flavonoid intake using the lowest category as the referent. Upper aerodigestive cancers included esophageal, oropharyngeal and nasopharyngeal/salivary cancers. For all analyses, cancer cases were restricted to the earliest primary cancer. Tests for trend across flavonoid intake categories were performed by assigning each category its median flavonoid intake value and treating the variable as a continuous term in the model.

Hazard ratios were also estimated according to intake of specific foods and food groups that are high in flavonoids including the following: fresh apples and pears, berries (strawberries, blueberries and other reported berries), raisins and grapes, broccoli, bran added to foods, citrus fruits and juices (grapefruits, grapefruit juice, oranges, orange juice), soy, chocolate, tea and red wine. Hazard ratios for cancer were calculated according to intake frequency categories of each food/food group with the lowest category as the referent, and varied depending on the spread of the data (<1 time/week vs. ≥1 time/week for berries, raisins/grapes, broccoli, bran, soy, chocolate, tea, red wine; <1 time/week, 1−3 times/week and >3 times/week for apples and pears; <4 times/week, 4−8 times/week and >8 times/week for citrus fruits and juices). In addition, hazard ratios were estimated according to intake of flavonoid-rich food groups. Food groups were formed by adding servings per week of the highest flavonoid containing foods for selected flavonoids and intake was categorized into quintiles. Hazard ratios for lung cancer were estimated using the lowest flavonoid-rich food group category as the referent.

Stratified analyses were also performed to examine if smoking history modified the association between flavonoid intake and cancer risk. Tests for interaction between smoking history (ever smoker vs. never smoker) and intake of total flavonoids and each flavonoid subclass (all categorized into quintiles except the 3-level variable used for anothcyanidins) were performed by adding a cross-product term to the multivariable model. A χ2 test for interaction was used to calculate p-values.

Potential confounding factors were included in the model if they had biological relevance, had been previously shown and established as a risk factor for the specific cancer, or if they notably altered the association between total flavonoid intake and cancer risk. In model 1, we adjusted for age at baseline (years) and daily energy intake (kcal/day). The multivariable model (model 2) included age, daily energy intake, education category (< high school, =high school, > high school), race (white/nonwhite), BMI (kg/m2), multivitamin use (yes/no), activity level (low, medium, high), smoking history (ever/never), and pack years (0, 1−19, 20−39 and 40+). Analyses for breast cancer also included first degree relative with breast cancer (yes/no), menopausal estrogen use (ever/never), parity (0, 1−2, 3−4 and 5+), age at first live birth (<20, 20−24, 25−29 and 30+), and mammogram history (prior to 1989, yes/no/missing) as covariates. Analyses for colorectal cancer included first degree relative with colon cancer (yes/no), NSAID use (yes/no), and menopausal estrogen use (ever/never) as covariates. Adjusting for additional dietary variables (total fat, fiber, folate, carotenoids, dairy, alcohol and red meat) did not appreciably alter risk estimates, and therefore, these variables were not included in the final model (data not shown). In addition, adjusting the analysis of each flavonoid subclass for intake of the other flavonoid subclasses did not appreciably alter risk estimates, and therefore, these variables were also not included in the final model (data not shown).

Results

A total of 34,708 women met the eligibility criteria for this analysis. Demographic and lifestyle characteristics of the study participants by quintile of total flavonoid intake are presented in Table I. Age, BMI, energy intake, education, physical activity level, multivitamin use, smoking history and pack years of smoking were significantly associated with flavonoid intake (p < 0.01). The median intake of total flavonoids was 239.2 mg/day, with a range of 0.6−3,524.4 mg/day.

TABLE I.

SELECT BASELINE DEMOGRAPHIC AND LIFESTYLE CHARACTERISTICS ALONG WITH CANCER CASES DIAGNOSED BETWEEN 1986 AND 2004 ACCORDING TO QUINTILE OF TOTAL FLAVONOID INTAKE IN 34,708 POSTMENOPAUSAL WOMEN IN THE IOWA WOMEN'S HEALTH STUDY

Overall Quintile of total flavonoid intake
p for trend1
1 2 3 4 5
N 34,708 6941 6942 6942 6942 6941
Median intake (mg/d) 239.2 91.0 167.5 240.1 342.8 680.0
Intake range (mg/d) 0.6−3524.4 0.6−133.6 133.6−201.7 201.7−282.0 282.0−425.2 425.3−3524.4
Age (years)2 61.6 ± 4.2 61.2 ± 4.1 61.4 ± 4.2 61.6 ± 4.2 61.8 ± 4.2 61.8 ± 4.2 <0.01
BMI (kg/m2) 27.0 ± 5.1 27.0 ± 5.2 27.1 ± 5.1 27.1 ± 5.1 27.0 ± 5.0 26.8 ± 5.0 <0.01
Energy intake (kcal/d)2 1799 ± 607 1470 ± 484 1679 ± 509 1824 ± 552 1953 ± 581 2069 ± 698 <0.01
Ethnicity (%)
    White 99.2 99.4 99.2 99.3 99.1 99.0
    Other 0.8 0.6 0.8 0.7 0.9 1.0 <0.01
Physical activity (%)
    Low 47.5 59.8 50.5 44.8 42.1 40.4
    Moderate 27.5 23.0 27.7 29.2 29.2 28.5
    High 25.0 17.3 21.8 26.1 28.7 31.1 <0.01
Education (%)
    <High school 18.1 21.1 17.7 17.0 17.2 17.4
    =High school 42.1 45.9 44.3 42.4 39.6 38.1
    >High school 39.8 33.0 38.0 40.6 43.2 44.5 <0.01
Smoking status (%)
    Never 65.6 54.9 64.2 68.7 71.1 69.2
    Ever 34.4 45.1 35.8 31.3 28.9 30.8 <0.01
Pack yrs of smoking (%)
    0 66.2 55.5 64.7 69.2 71.6 69.8
    1−19 13.6 13.6 13.8 13.2 13.2 14.1
    20−39 11.4 16.4 12.1 10.6 9.1 9.0
    40+ 8.8 14.5 9.4 7.0 6.1 7.1 <0.01
Multivitamin use (%)
    No 66.7 71.4 68.3 66.6 64.3 62.9
    Yes 33.3 28.6 31.7 33.4 35.7 37.1 <0.01
All cancer (cases) 7534 1582 1559 1487 1442 1464
Lung cancer (cases) 849 266 169 150 119 145
Breast cancer (cases) 2529 491 506 497 501 534
Colorectal cancer (cases) 1292 277 271 257 249 238
Pancreatic cancer (cases) 230 34 49 54 43 50
Upper aerodigestive cancer (cases)3 138 35 34 16 31 22
1

Tests for trend across intake categories were performed by assigning each quintile its median intake value and treating the variable as a linear term.

2

Mean ± SD.

3

Includes esophageal, oropharyngeal, and nasopharyngeal/salivary cancer.

Although women in the highest quintile of total flavonoid intake had a 12% lower incidence of any cancer compared to women in the lowest quintile in age and energy adjusted models, this association was no longer observed after multivariable adjustment (Table II). Similar results were observed for flavanones, flavonols, flavan-3-ols, proanthocyanidins and total proanthocyanidins. After multivariable adjustment, only isoflavone intake was associated with a modestly reduced incidence of any cancer, with women in the highest quintile of intake having a 7% lower incidence compared to those in the lowest quintile, but this association was of borderline significance (HR = 0.93; 95% CI: 0.86−1.00, p for trend across quintiles = 0.03).

TABLE II.

RELATIVE RISKS (RR) OF CANCER ACCORDING TO QUINTILE OF FLAVONOID INTAKE IN 34,708 POSTMENOPAUSAL WOMEN IN THE IOWA WOMEN'S HEALTH STUDY

Quintile of flavonoid intake
p for trend1
1 2 3 4 5
Total flavonoids
    Mean intake (mg/d) 91.0 167.5 240.1 342.8 680.0
    Intake range (mg/d) 0.6−133.6 133.6−201.7 201.7−282.0 282.0−425.2 425.3−3524.4
    Cases 1582 1559 1487 1442 1464
    Person-years 104,591 104,729 105,804 106,309 105,358
    Age + energy2 1.0 (reference) 0.97 (0.90−1.04) 0.90 (0.84−0.97) 0.86 (0.80−0.93) 0.88 (0.82−0.95) <0.01
    Multivariate3 1.0 (reference) 1.04 (0.96−1.11) 0.99 (0.92−1.07) 0.96 (0.89−1.04) 1.00 (0.92−1.08) 0.65
Isoflavones
    Mean intake (mg/d) 0.07 0.16 0.25 0.33 1.83
    Intake range (mg/d) 0−0.13 0.13−0.23 0.23−0.27 0.27−0.51 0.52−107.8
    Cases 1528 1551 1519 1515 1421
    Person-years 104,362 104,888 105,742 105,904 105,896
    Age + energy2 1.0 (reference) 1.00 (0.93−1.07) 0.97 (0.90−1.04) 0.96 (0.89−1.03) 0.90 (0.83−0.97) <0.01
    Multivariate3 1.0 (reference) 1.00 (0.93−1.08) 0.99 (0.92−1.07) 1.00 (0.92−1.07) 0.93 (0.86−1.00) 0.03
    Anthocyanidins3
    Mean intake (mg/d) 0 0.02 5.8
    Intake range (mg/d) - 0.005−0.1 0.1−1040.0
    Cases 2588 2555 2391
    Person-years 180,349 172,594 173,849
    Age + energy2 1.0 (reference) 1.03 (0.98−1.09) 0.96 (0.91−1.02) 0.04
    Multivariate3 1.0 (reference) 1.02 (0.97−1.08) 0.97 (0.92−1.03) 0.12
Flavones
    Mean intake (mg/d) 0.11 0.26 0.40 0.80 1.75
    Intake range (mg/d) 0−0.19 0.19−0.32 0.32−0.51 0.51−0.96 0.96−42.7
    Cases 1519 1527 1521 1512 1455
    Person-years 105,081 105,401 105,509 105,581 105,220
    Age + energy2 1.0 (reference) 1.00 (0.93−1.08) 1.00 (0.93−1.07) 0.99 (0.92−1.06) 0.95 (0.88−1.02) 0.10
    Multivariate3 1.0 (reference) 1.00 (0.93−1.08) 0.99 (0.92−1.07) 0.98 (0.91−1.06) 0.94 (0.87−1.02) 0.09
Flavanones
    Mean intake (mg/d) 7.4 26.0 41.0 60.7 107.2
    Intake range (mg/d) 0−15.9 15.9−34.0 34.0−49.8 49.8−73.2 73.2−833.2
    Cases 1589 1565 1485 1468 1427
    Person-years 104,328 105,465 106,193 105,500 105,306
    Age + energy2 1.0 (reference) 0.96 (0.90−1.03) 0.90 (0.84−0.97) 0.89 (0.83−0.96) 0.86 (0.80−0.93) <0.01
    Multivariate3 1.0 (reference) 1.01 (0.94−1.08) 0.96 (0.89−1.03) 0.96 (0.90−1.04) 0.95 (0.88−1.02) 0.10
Flavonols
    Mean intake (mg/d) 3.9 6.6 8.9 12.2 23.2
    Intake range (mg/d) 0.2−5.4 5.4−7.7 7.7−10.3 10.3−14.6 14.6−125.5
    Cases 1561 1503 1492 1517 1461
    Person-years 104,253 106,418 105,902 105,172 105,047
    Age + energy2 1.0 (reference) 0.94 (0.88−1.01) 0.93 (0.87−1.00) 0.95 (0.88−1.02) 0.92 (0.85−0.99) 0.10
    Multivariate3 1.0 (reference) 0.96 (0.89−1.03) 0.97 (0.89−1.03) 1.02 (0.94−1.10) 0.97 (0.90−1.05) 0.86
Flavan-3-ols
    Mean intake (mg/d) 4.1 10.2 21.0 60.7 314.6
    Intake range (mg/d) <0.001−6.7 6.7−15.0 15.0−29.2 29.2−134.8 134.8−1051.6
    Cases 1603 1535 1455 1461 1480
    Person-years 104,402 104,741 106,086 106,280 105,282
    Age + energy2 1.0 (reference) 0.94 (0.88−1.01) 0.88 (0.82−0.95) 0.88 (0.82−0.95) 0.90 (0.84−0.97) 0.06
    Multivariate3 1.0 (reference) 0.96 (0.89−1.03) 0.97 (0.90−1.05) 1.02 (0.94−1.10) 0.97 (0.90−1.05) 0.55
Proanthocyanidins
    Mean intake (mg/d) 45.6 87.5 125.3 174.7 365.1
    Intake range (mg/d) 0−69.4 69.4−105.8 105.8−146.2 146.2−211.2 211.2−2721.1
    Cases 1573 1499 1529 1483 1450
    Person-years 103,841 105,577 105,516 105,784 106,074
    Age + energy2 1.0 (reference) 0.93 (0.86−0.99) 0.94 (0.87−1.01) 0.90 (0.84−0.97) 0.86 (0.80−0.93) <0.01
    Multivariate3 1.0 (reference) 0.96 (0.89−1.03) 1.02 (0.94−1.09) 1.00 (0.92−1.07) 0.98 (0.90−1.06) 0.86
Total Proanthocyanidins
    Mean intake (mg/d) 58.2 116.7 175.9 267.0 591.0
    Intake range (mg/d) <0.001−89.5 89.5−143.8 143.8−212.2 212.2−342.7 342.7−3225.6
    Cases 1550 1551 1529 1426 1478
    Person-years 104,408 105,183 105,113 106,375 105,712
    Age + energy2 1.0 (reference) 0.98 (0.91−1.05) 0.95 (0.89−1.02) 0.87 (0.80−0.93) 0.91 (0.84−0.98) <0.01
    Multivariate3 1.0 (reference) 1.03 (0.96−1.10) 1.04 (0.97−1.12) 0.95 (0.89−1.03) 1.01 (0.94−1.03) 0.88
1

Tests for trend across intake categories were performed by assigning each quintile its median intake value and treating the variable as a linear term.

2

Adjusted for age (years) and energy (kcal/day).

3

Adjusted for above variables plus education level (<high school; =high school; >high school), race (white/nonwhite), BMI (kg/m2), multivitamin use (yes/no), activity level (low, medium, high), smoking history (ever/never), and pack years (0, 1−19, 20−39, 40+).

4Because of skewed distribution, anthocyanidins were categorized as a 3-level variable (zero intake, < median, ≥ median).

After multivariable adjustment, women in the highest quintile of flavanone intake had a 32% lower incidence of lung cancer compared to women in the lowest quintile of intake (HR = 0.68; 95% CI: 0.53−0.86, p-trend = <0.01). Lung cancer incidence was 25% lower for women in the highest quintile of proanthocyanidin intake compared to women whose intake placed them in the lowest quintile (HR = 0.75; 95% CI: 0.57−0.97, p-trend = 0.12).

In multivariable-adjusted analyses stratified by smoking history, no statistically significant associations between flavonoids and lung cancer were observed among those who had never smoked (Table III). In contrast, among current and past smokers statistically significant inverse associations were observed for lung cancer incidence in women in the highest quintile versus lowest quintile of flavanone intake (HR = 0.66; 95% CI: 0.50−0.86, p-trend = <0.01, p for interaction = 0.18) and proanthocyanidin intake (HR = 0.66; 95% CI: 0.49−0.89, p-trend = 0.04, p for interaction = 0.04).

TABLE III.

RELATIVE RISKS (RR) OF LUNG CANCER ACCORDING TO QUINTILE OF FLAVONOID INTAKE IN 34,708 POSTMENOPAUSAL WOMEN IN THE IOWA WOMEN'S HEALTH STUDY STRATIFIED BY SMOKING STATUS

Quintile of Flavonoid Intake
p for trend1
1 2 3 4 5
Total Flavonoids
    Never smokers
        Cases 15 21 26 25 26
        Person-years 63,643 74,035 79,723 81,774 79,278
        Multivariate2 1.0 (reference) 1.14 (0.59−2.22) 1.27 (0.66−2.43) 1.17 (0.60−2.27) 1.19 (0.60−2.34) 0.80
    Ever smokers
        Cases 222 137 107 80 101
        Person-years 47,323 37,702 33,093 30,767 32,468
        Multivariate2 1.0 (reference) 0.88 (0.71−1.10) 0.91 (0.71−1.15) 0.73 (0.55−0.96) 0.90 (0.70−1.16) 0.39
Flavanones
    Never smokers
        Cases 20 20 25 25 23
        Person-years 65,566 74,557 79,086 79,373 79,871
        Multivariate2 1.0 (reference) 0.84 (0.45−1.56) 0.96 (0.53−1.74) 0.91 (0.50−1.66) 0.85 (0.46−1.58) 0.70
    Ever smokers
        Cases 236 140 104 85 82
        Person-years 45,382 37,664 33,744 32,807 31,756
        Multivariate2 1.0 (reference) 0.84 (0.68−1.04) 0.78 (0.61−0.98) 0.70 (0.54−0.91) 0.66 (0.50−0.86) <0.01
Proanthocyanidins
    Never smokers
        Cases 15 20 22 28 28
        Person-years 64,475 72,225 77,815 81,774 82,166
        Multivariate2 1.0 (reference) 1.15 (0.59−2.25) 1.15 (0.59−2.24) 1.31 (0.68−2.53) 1.32 (0.67−2.61) 0.44
    Ever smokers
        Cases 209 133 123 112 70
        Person-years 45,800 40,179 34,093 30,970 30,311
        Multivariate2 1.0 (reference) 0.79 (0.63−0.99) 0.95 (0.75−1.19) 1.03 (0.81−1.32) 0.66 (0.49−0.89) 0.04
Isoflavones
    Never smokers
        Cases 18 31 18 27 19
        Person-years 67,032 74,349 77,335 80,760 78,978
        Multivariate2 1.0 (reference) 1.48 (0.82−2.65) 0.78 (0.40−1.51) 1.13 (0.61−2.09) 0.80 (0.41−1.58) 0.19
    Ever smokers
        Cases 153 135 132 112 115
        Person-years 43,539 37,930 34,842 31,881 33,162
        Multivariate2 1.0 (reference) 1.03 (0.82−1.31) 1.09 (0.86−1.38) 1.08 (0.83−1.40) 1.03 (0.80−1.34) 0.91
Flavones
    Never smokers
        Cases 26 21 28 19 19
        Person-years 76,031 76,262 75,300 77,724 73,136
        Multivariate2 1.0 (reference) 0.75 (0.42−1.34) 1.01 (0.59−1.74) 0.65 (0.35−1.18) 0.66 (0.36−1.23) 0.16
    Ever smokers
        Cases 152 133 133 109 120
        Person-years 35,604 35,735 36,544 35,069 38,402
        Multivariate2 1.0 (reference) 0.97 (0.76−1.23) 1.05 (0.82−1.34) 0.89 (0.69−1.15) 1.00 (0.78−1.30) 0.85
Flavonols
    Never smokers
        Cases 19 19 24 27 24
        Person-years 70,241 76,070 76,640 78,483 77,020
        Multivariate2 1.0 (reference) 0.87 (0.46−1.65) 1.08 (0.58−1.99) 1.11 (0.60−2.06) 1.05 (0.55−1.99) 0.75
    Ever smokers
        Cases 179 142 109 98 119
        Person-years 40,879 36,576 35,974 33,586 34,338
        Multivariate2 1.0 (reference) 0.93 (0.74−1.17) 0.82 (0.64−1.05) 0.90 (0.69−1.16) 1.00 (0.78−1.29) 0.79
Flavan-3-ols
    Never smokers
        Cases 16 27 19 29 22
        Person-years 66,790 75,398 77,217 80,353 78,694
        Multivariate2 1.0 (reference) 1.41 (0.75−2.64) 0.96 (0.49−1.89) 1.40 (0.75−2.62) 1.04 (0.54−2.02) 0.81
    Ever smokers
        Cases 188 137 123 82 117
        Person-years 44,044 35,804 35,529 32,886 33,090
        Multivariate2 1.0 (reference) 1.01 (0.80−1.26) 0.96 (0.76−1.22) 0.73 (0.55−0.96) 1.07 (0.85−1.36) 0.76
Anthocyanidins3
    Never smokers
        Cases 34 41 38
        Person-years 135,742 121,661 121,051
        Multivariate2 1.0 (reference) 1.29 (0.82−2.04) 1.15 (0.71−1.85) 1.00
    Ever smokers
        Cases 243 224 180
        Person-years 55,529 61,880 63,944
        Multivariate2 1.0 (reference) 0.93 (0.77−1.12) 0.83 (0.67−1.01) 0.10
Total Proanthocyanidins
    Never smokers
        Cases 12 22 28 29 22
        Person-years 64,103 73,418 79,304 82,255 79,373
        Multivariate2 1.0 (reference) 1.39 (0.73−2.65) 1.45 (0.78−2.72) 1.42 (0.76−2.68) 1.12 (0.57−2.21) 0.82
    Ever smokers
        Cases 194 148 121 78 106
        Person-years 46,625 38,458 33,078 30,387 32,805
        Multivariate2 1.0 (reference) 0.94 (0.76−1.18) 1.07 (0.85−1.36) 0.70 (0.53−0.94) 1.00 (0.78−1.29) 0.95
1

Tests for trend across intake categories were performed by assigning each quintile its median intake value and treating the variable as a linear term.

2

Adjusted for age (years), energy (kcal/day), education level (<high school, = high school, > high school), race (white/non-white), BMI (kg/m2), multivitamin use (yes/no), activity level (low, medium, high), and pack years (0, 1−19, 20−39, 40+).

3

Because of skewed distribution, anthocyanidins were categorized as a 3-level variable (zero intake, < median, ≥ median).

We also examined the relative incidence of breast, pancreatic, upper aerodigestive and colorectal cancer by total flavonoid intake and flavonoid subclass intake. No significant observations were observed. In multivariable-adjusted analyses stratified by smoking history, no statistically significant associations were observed between total flavonoid intake and incidence of breast, colorectal, upper aerodigestive, pancreatic or any cancer among current and past smokers or among never smokers.

When stratified by smoking history, intake of soy, bran, red wine, chocolate, all berries, tea, raisins/grapes and apples were not associated with incidence of all cancers or lung cancer after multivariable adjustment. However, for citrus fruits and juices, current and past smokers who reported eating 8 or more servings per week had a 27% lower incidence of lung cancer compared to current and past smokers who reported eating less than 4 servings of citrus per week (HR = 0.73; 95% CI: 0.60−0.89, p-trend = <0.01, p for interaction = 0.03) (Table IV). No significant association between citrus fruit and juice intake and lung cancer incidence was observed in never smokers. Current and past smokers who reported eating 8 or more servings of citrus fruits and juices per week had a 8% lower incidence of any cancer compared to current and past smokers who reported eating less than 4 servings per week (HR = 0.92; 95% CI: 0.84−1.01, p-trend = 0.08, p for interaction = 0.73), and never smokers who reported eating 8 or more servings per week had an 7% lower incidence when compared to never smokers eating less than 4 serving per week (HR = 0.93; 95% CI:0.87−1.00, p-trend = 0.06).

TABLE IV.

RELATIVE RISKS (RR) OF CANCER AND LUNG CANCER ACCORDING TO CATEGORY OF CITRUS FRUIT/JUICE INTAKE 34,708 POSTMENOPAUSAL WOMEN IN THE IOWA WOMEN'S HEALTH STUDY STRATIFIED BY SMOKING HISTORY

Servings of citrus fruit or juice per week
p for trend1
<4 4−8 >8
All cancer
    Never smokers
        Cases 1554 1225 1668
        Person-years 119,628 96,730 135,464
        Multivariate2 1.0 (reference) 0.96 (0.89−1.04) 0.93 (0.87−1.00) 0.06
    Ever smokers
        Cases 1322 780 892
        Person-years 70,458 43,019 54,512
        Multivariate2 1.0 (reference) 0.97 (0.89−1.07) 0.92 (0.84−1.01) 0.08
Lung Cancer
    Never smokers
        Cases 33 36 44
        Person-years 129,012 104,042 145,399
        Multivariate2 1.0 (reference) 1.26 (0.78−2.04) 1.12 (0.70−1.76) 0.61
    Ever smokers
        Cases 354 136 157
        Person-years 75,843 46,609 58,901
        Multivariate2 1.0 (reference) 0.75 (0.61−0.92) 0.73 (0.60−0.89) <0.01
1

Tests for trend across intake categories were performed by assigning each quintile its median intake value and treating the variable as a linear term.

2

Adjusted for age (years) and energy (kcal/day), education level (<high school, = high school, > high school), race (white/nonwhite), BMI (kg/m2), multivitamin use (yes/no), activity level (low, medium, high), and pack years (0, 1−19, 20−39, 40+).

Associations between intake of the flavonoid-rich food groups and lung cancer incidence were similar to the results found for the quantitative flavonoids. In multivariable-adjusted analyses stratified by smoking history, past and current smokers within the highest quintile of intake of the flavanone-rich food group had a statistically significant reduction in lung cancer incidence compare to past and current smokers in the lowest quintile of intake (HR = 0.64; 95% CI: 0.49−0.84, p-trend = <0.01, p for interaction = 0.08). No statistically significant associations between flavonoid-rich food groups and lung cancer incidence were observed among those who had never smoked. Correlations between the flavonoid-rich food groups and the corresponding quantitative flavonoids were high (r = 0.94 for flavanones).

Discussion

In our study of predominately white, postmenopausal women, we observed a statistically significant inverse association between dietary intake of isoflavones and incidence of all cancers. We observed inverse associations between dietary intake of flavanones and proanthocyanidins and incidence of lung cancer in women who were current or former smokers, but not among women who were never smokers. Highest versus lowest intake of citrus fruits and juices, major contributors to the flavanones subclass, resulted in a 28% lower risk of lung cancer in past and current smokers, but was not significantly associated with risk in never smokers. A nonsignificant inverse association was also observed between intake of citrus fruits and juices and incidence of all cancers in past, current and never smokers. Highest versus lowest intake of the food group summarizing foods that are rich in flavanones resulted in a reduced incidence of lung cancer in past and current smokers, but not in never smokers, similar to the results seen with the quantitative flavonoids. Therefore these data directly indicate that a food group high in flavonoids might protect against lung cancer in past and current smokers. Purified supplemental flavonoids might also be helpful, but this could not be examined in the current study. The flavanone-rich food group included grapefruit, oranges, grapefruit juice, orange juice, other fruit juices, lemons and lemon juice concentrate.

Other studies have also reported inverse associations between intake of flavanones, proanthocyanidins and isoflavones and cancer risk. Increased flavanone intake was associated with a decreased risk of oral and pharyngeal cancer, laryngeal cancer and squamous cell esophageal cancer22-24, while increased proanthocyanidin and isoflavone intake have been associated with a decreased risk of colorectal cancer.13,14 Several studies have reported statistically significant inverse association between intake of flavonoids and lung cancer risk. Similar to our results, 2 case-control studies found a lower risk of lung cancer with a higher intake of citrus fruits.6,10 De Stefani et al.6 reported that higher intake of oranges resulted in a lower risk of lung cancer in both men and women. Le Marchand et al.10 reported higher intake of white and pink grapefruit resulted in a lower risk of lung cancer, although their study only included men. Various case-control and prospective cohort studies have reported a decreased risk of lung cancer with higher intake of flavonols, quercetin (a specific flavonol compound), or quercetin-rich foods like onions and apples.6-10,12 We did not find a significant association between apple intake or flavonol intake and risk of lung cancer. The lack of association between cancer incidence and flavonol intake in our study may be partly due to the fact that intake of onions, a major source of quercetin, was not queried by our food frequency questionnaire.

One of the most serious problems with studies examining the association between flavonoid intake and lung cancer risk to date has been residual confounding by smoking status, and studies examining associations in lifelong never smokers along with past and current smokers are the most effective way to rule out spurious associations.2 To our knowledge, only 2 other studies have examined the association of flavonoid intake and lung cancer risk in smokers and nonsmokers separately, while another 2 studies have examined associations in smokers only. In a case-control study focusing solely on dietary phytoestrogens (including isoflavones), Schabath et al.11 reported a reduced risk of lung cancer with higher intake of total isoflavones compared to lower intake among both current smokers and those who have never smoked. In this study no significant association was observed in former smokers. In a prospective study of Finnish men and women, Knekt et al.8 reported a reduced risk of lung cancer in men and women reporting the highest intake of total flavonoids compared to those who reported the lowest intake (‘total’ including the flavonol compounds quercetin, kaempferol, myricetin and the flavone compounds luteolin and apigenin), but when stratified by smoking status, a reduced risk was observed among nonsmokers only. Two other prospective studies have examined flavonoid intake and lung cancer risk in cohorts of male smokers.7,12 One study reported that male smokers in the highest quartile of flavonol and flavone intake had a 44% reduction in lung cancer risk compared to male smokers in the lowest quintile.7 In the other, male smokers in the highest quintile of an antioxidant index (based on intake of the flavan-3-ol compounds catechins, epicatechins, kaempferol and the flavonol compounds myricetin and quercetin) had a 16% decreased risk of lung cancer compared to male smokers in the lowest quintile.12

The observed inverse associations between flavonoid intake and cancer risk may be explained by their influence on a variety of biological functions.4 In animal models and in vitro systems, flavonoids have been shown to scavenge free-radicals, modulate enzymatic activity, induce apoptosis and inhibit inflammation, cellular proliferation and angiogenesis.2-4 The function of flavonoids as antioxidants may explain the reduction of lung cancer risk seen in smokers in this study since smoking increases oxidative stress.20,36 Some evidence suggests flavonoid intake may be related to events early in the carcinogenesis pathway, highlighting the importance of cohort studies that assess dietary intake many years prior to cancer diagnosis.4

Limitations of this study must be considered. Exposure measurement error is an important limitation of all flavonoid studies, including ours, that rely on data from a single FFQ because of underreporting of dietary intake or missing information on certain flavonoid containing foods.2 Unfortunately, for most flavonoid compounds there are no biomarkers that accurately reflect long-term exposure.2 Furthermore, the flavonoid content and bioavailability of foods can be influenced by food preparation and processing, climate, sunlight, or season, contributing to the lack of consistency between study findings.3,4 Another important limitation of this study was the lack of assessment of onion intake and limited assessment of intake of berries. Onions contain quercetin and both onions and berries are important contributors to the flavonoid subclass of flavonols, which has been most commonly associated with decreased risk of lung cancer at this point, although this may be due to the fact that it has been more frequently quantified and studied. In addition, the flavonoid content in foods presented in this paper does not include data from an updated USDA flavonoid database released in January 2007.37 We also had limited power to detect associations between flavonoid intake and pancreatic and upper aerodigestive cancer, along with lung cancer in never smokers, because of the small number of cases in this cohort. Strengths of the current study include its large size, prospective design, the relative comprehensiveness of the flavonoid data in our nutrient database, and the virtually complete follow-up of the cohort for cancer incidence.

In conclusion, this study provides further support for a beneficial effect of flavonoid intake on risk of lung cancer, perhaps most notably in women who formerly or currently smoke. Further studies are needed that take advantage of the more complete databases now available, and consider the possible protective factors (other than flavonoids) that might be present in plant foods.

Acknowledgements

The authors thank Dr. Aaron R. Folsom for providing access to the Iowa Women's Health Study data, and Ms. Ching Ping Hong for statistical consultation and assistance in data preparation prior to analysis.

Grant sponsor: National Cancer Institute; Grant number: R01 CA039742; Grant sponsor: International Life Sciences Institute (ILSI).

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