Literature DB >> 17387340

Alcohol and head and neck cancer risk in a prospective study.

N D Freedman1, A Schatzkin, M F Leitzmann, A R Hollenbeck, C C Abnet.   

Abstract

We investigated the relation between head and neck cancer risk and alcohol consumption in the NIH-AARP Diet and Health Study. During 2,203,500 person-years of follow-up, 611 men and 183 women developed head and neck cancer. With moderate drinking (up to one alcoholic drink per day) as the referent group, non-drinkers showed an increased risk of head and neck cancer (men: hazard ratio (HR) 1.68, 95% confidence interval (95% CI) 1.37-2.06; women: 1.46, 1.02-2.08). Among male and female alcohol drinkers, we observed a significant dose-response relationship between alcohol consumption and risk. The HR for consuming >3 drinks per day was significantly higher in women (2.52, 1.46-4.35) than in men (1.48, 1.15-1.90; P for interaction=0.0036). The incidence rates per 100 000 person-years for those who consumed >3 drinks per day were similar in men (77.6) and women (75.3). The higher HRs observed in women resulted from lower incidence rates in the referent group: women (14.7), men (34.4). In summary, drinking >3 alcoholic beverages per day was associated with increased risk in men and women, but consumption of up to one drink per day may be associated with reduced risk relative to non-drinking.

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Mesh:

Year:  2007        PMID: 17387340      PMCID: PMC2360181          DOI: 10.1038/sj.bjc.6603713

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Each year, more than 600 000 individuals are diagnosed with squamous cancers of the head and neck worldwide (Parkin ). Head and neck cancer has multiple anatomic sub-sites, including the oral cavity, pharynx, and larynx, which may have distinct aetiologies. Alcohol use has consistently been indicated as a risk factor for head and neck cancer (Sturgis ). However, owing to small case numbers, previous prospective studies have typically collapsed cancers of the head and neck and the aesophagus into a single broad category of upper-gastrointestinal tract sites (Gronbaek ; Kjaerheim ; Boeing, 2002). Few prospective studies have examined the association between alcohol and individual head and neck cancer sub-sites, such as the larynx, oral cavity, or pharynx (Schottenfeld ; Boffetta and Garfinkel, 1990; Adami ; Tonnesen ; Sigvardsson ; Boffetta ). Most of these studies have not adjusted for tobacco use, an important potential confounder of the relation between alcohol and head and neck cancer (Boffetta and Garfinkel, 1990). Also, few studies (Franceschi ; Gronbaek ; Hayes ; Castellsague ; Polesel ) have examined non-drinkers and those that drink less than two drinks per day separately, an important comparison as consumption of less than two drinks per day may reduce cardiovascular disease risk (Maclure, 1993). Although men are 2–7 times more likely to develop these cancers than women (depending on sub-site) (Parkin ), few epidemiological studies have compared the association of alcohol and head and neck cancer in men to that in women (Blot ; Franceschi ; Hayes ; Boffetta ). These studies generally indicate higher relative risks in women than in men, although many had small case numbers and all but one were case–control studies precluding the examination of incidence rates. Alcohol consumption is increasing in many countries worldwide, particularly among women (Boffetta and Hashibe, 2006), and this highlights the need to better understand the association between alcohol consumption and head and neck cancer. We prospectively investigated this association in 492 960 participants of the NIH-AARP diet and health study.

MATERIALS AND METHODS

The establishment and recruitment procedures of the NIH-AARP Diet and Health Study have been described (Schatzkin ). Between 1995 and 1996, a dietary questionnaire was mailed to 3.5 million members of AARP, formerly known as the American Association of Retired Persons, a large US organisation whose membership is open to those 50 years of age or older. These members resided in one of eight US states (California, Florida, Louisiana, New Jersey, North Carolina, Pennsylvania, Georgia, or Michigan). A total of 566 407 respondents (308 692 men and 211 702 women) sufficiently completed the survey and consented to participate in the study. We excluded proxy respondents (n=15 760) and subjects with cancer at baseline (n=51 219), calorie intake more than two interquartile ranges from the mean (n=4419), who died or were diagnosed with cancer on the first day of follow-up (n=10), and who failed to provide information on alcohol use (n=2039). The resulting analytical cohort comprised 492 960 participants.

Cohort follow-up

Addresses for members of the NIH-AARP cohort were updated annually by matching the cohort database to that of the USA Postal Service change of address database (Michaud ). Vital status was ascertained by annual linkage to the USA Social Security Administration death master file and responses to mailings. Follow-up time extended from study baseline (between 1995 and 1996) until diagnosis of a head and neck, aesophageal, or gastric cancer (as diagnosis of one of these cancers is associated with increased surveillance of the other sites), date of death, end of study (31 December 2000), or the date moved out of registry ascertainment area. Incident cases of cancer were identified by probabilistic linkage between the NIH-AARP cohort membership and eight state cancer registry databases. We estimate that 90% of cancer cases are detected in the cohort by this approach (Michaud ). Cancer sites were identified by anatomic site and histologic code of the International Classification of Disease for Oncology, third edition (Fritz, 2000). All cases of head and neck cancer with squamous histology were considered for this analysis. We classified tumours with site codes C32.0–C32.9 as laryngeal cancer. Oral cavity cancers included tumours with codes C00.1–C06.9. Cancers of the oropharynx and hypopharynx included tumours of the tonsil (C09.0–C09.9), oropharynx (C10.0–C10.9), pyriform sinus (C12.9), hypopharynx (C13.0–C13.9), and pharynx not otherwise specified (NOS) (C14.0). The overarching head and neck cancer category included those diagnosed with a cancer of the oral cavity, oropharynx and hypopharynx, larynx, and those with other squamous tumours in the head or neck or overlapping region of the lip, oral cavity, and pharynx.

Exposure assessment

The baseline questionnaire contained questions about demographics, daily alcohol, cigarette use, physical activity, and a 124-item food frequency questionnaire (Schatzkin ). Usual daily alcohol (wine, beer, and liquor), fruit, and vegetable intakes were calculated from the questionnaire as pyramid servings as defined by the USA Department of Agriculture (USDA), taking account of intake frequency and serving size (Subar ; Schatzkin ). One drink corresponds to one serving of the USDA food guide pyramid: one 12 fluid ounce beer, one 5 fluid ounce glass of wine, or one 1.5 ounce shot of liquor (each approximately 13 g of alcohol). We used categorical variables of alcohol intake: none, up to 1 drink per day, 1–3 drinks per day, and >3 drinks per day. Self-administered questionnaires for alcohol intake have high reproducibility (0.84 after 4 years) and validity with respect to 1 week diet records (0.92 for men and 0.90 for women) (Giovannucci ). To adjust for smoking, we used smoking status (current, former, and never) and usual smoking dose to construct a categorical variable (smoke-quit-dose): never smokers, former smokers who smoked less than one pack per day, former smokers who smoked more than one pack per day, current smokers who smoked less than one pack per day, and current smokers who smoked more than one pack per day. We lacked information on smoking duration.

Statistical analysis

Analyses were performed with SAS version 8.2. Potential confounders were tabulated by alcohol intake. Hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated using Cox proportional hazards regression (Cox, 1972). We tested the proportional hazards assumption by modelling interaction terms of time and categories of alcohol intake and found no statistically significant interactions. Follow-up time was used as the underlying time metric. Using age as the underlying time metric did not affect results. All multivariate models were adjusted by categorical variables for education, body mass index (World Health Organization categories), smoke-quit-dose, vigorous physical activity, activity throughout the day, and continuous measures for vegetable intake, fruit intake, total energy intake, and age at baseline. Owing to significant differences in the risk of non-drinkers relative to the risk of moderate alcohol drinkers of up to one drink per day, we used moderate drinkers as the referent category. The test for trend was restricted to alcohol drinkers and used a linear variable where each subject was assigned the median intake value for their category. Models that analysed categories of liquor, beer, or wine consumption further included the other two types of alcohol as categorical variables, to account for total alcohol consumption in each model. Small numbers of subjects had missing data values for some covariates. Missing covariates were represented by dummy variables in the models. Excluding those with missing covariate information slightly reduced case numbers but did not materially change point estimates. An alpha level of less than 0.05 was considered statistically significant and all tests were two sided. We tested for an interaction between categorical variables of alcohol intake and gender by using cross-product terms with a three degree of freedom (df) likelihood ratio χ2 test. Age-adjusted incidence rates were calculated as in Breslow and Day (1987) with 5-year age bands and age- and gender-specific rates standardised to the entire NIH-AARP Diet and Health study population.

RESULTS

As shown in Table 1, alcohol drinkers were more likely to smoke and to have received more formal education than non-drinkers, but they consumed less fruit on average. The distribution of alcohol use within the AARP cohort, 24.1% (119 007) non-drinkers, 53.1% (261 889) moderate drinkers of 0–1 alcoholic beverages per day, 15.2% (74 854) drinkers of 1–3 alcoholic beverages per day, and 7.5% (37 210) drinkers of >3 drinks per day, was similar to that in the United States overall, as data from the 1999–2000 NHANES survey indicated 35.5% non-drinkers, 42.7% moderate drinkers of 0–1 alcoholic beverages per day, 17.9% drinkers of 1–3 alcoholic beverages per day, and 4.0% drinkers of ⩾3 alcoholic beverages per day (Breslow ).
Table 1

Study characteristics by alcohol intake

  Alcohol intake (drinks per day)a
  Zero
<1
1–3
>3
  Number % Number % Number % number %
Entire cohort119 00724.1261 88953.174 85415.237 2107.5
Gender         
 Male60 76120.7147 10450.054 58418.631 85110.8
 Female58 24629.3114 78557.820 27010.253592.7
Age (years)b63.058.2–66.862.357.4–66.462.958.1–66.862.757.9–66.5
Body mass index (kg m−2)b26.724.1–30.426.523.9–29.425.823.6–28.326.524.2–29.1
Total daily caloriesb1616.71206.8–2155.11606.81223.9–2092.81802.81421.7–2283.32397.81899.7–3095.1
Vegetable consumption (servings per day)b3.32.1–4.93.42.3–4.93.72.5–5.23.62.4–5.2
Fruit consumption (servings per day)b2.51.4–4.12.51.5–3.82.41.4–3.61.91.0–3.2
         
Education (%)
 Less than high school11 52239.512 99544.527709.518976.5
 12 years (completed high school)30 05531.249 58251.510 57111.060396.3
 Some post-high school training38 23223.488 83754.523 48214.412 5527.7
 Completed college17 30818.649 65053.417 50718.884479.1
 Completed graduate school17 50118.053 67255.018 94819.473937.6
         
Daily cigarette use (current or former) (%)
 Never52 19929.897 85655.919 10310.959813.4
 Former49 72620.6125 70352.143 83118.221 8199.1
 Current14 82121.733 98049.810 74715.7871712.8
         
Usual daily physical activity
 Sit during the day/little walking10 15126.120 95653.8507213.027587.1
 Sit during the day/walk a fair amount36 17822.887 29555.023 82315.011 3387.2
 Stand/walk a lot – no lifting44 76824.197 92852.728 84215.514 1877.6
 Lift/carry light loads, stairs, hills20 08023.843 62751.613 95316.568928.2
 Do heavy work/carry loads412829.1666047.0195513.8143710.1
         
Physical activity (leisure) frequency
 Never877140.1945443.320709.515567.1
 Rarely19 30228.934 54051.7761311.453108.0
 1–3 times per month15 29922.937 12655.5922113.852237.8
 1–2 times per week23 05521.758 53055.216 49115.679527.5
 3–4 times per week28 30421.571 98754.622 12416.895047.2
 5 or more times per week22 60023.947 85650.616 81817.873757.8

Categories may not add up to 492 960 persons owing to missing data.

Median (interquartile range).

After 2 203 500 person-years of follow-up, 794 participants were diagnosed with head and neck cancer. We found that gender significantly modified the relation between alcohol and head and neck cancers (P=0.0036, 3 df) and present gender stratified estimates throughout. The age-standardised incidence rate per 100 000 person-years among moderate drinking women (up to one drink per day) (14.7, 95% CI 11.3–18.0) was lower than moderate drinking (34.4, 30.0–39.0) men. Among drinkers, increasing alcohol consumption was significantly associated with increased risk. The incidence rates in those who drank >3 alcoholic drinks per day were similar in men and women (women: 75.3, 40.5–110.1; men: 77.6, 63.1–92.1) (Table 2). In age-adjusted models (Table 2), men and women who drank >3 alcoholic beverages per day were at increased risk relative to moderate drinkers (men: 2.25, 1.79–2.82; women: 5.16, 3.08–8.63). The association between increased alcohol consumption and risk among drinkers of alcohol was attenuated but remained statistically significant in multivariate adjusted models. Men (1.48, 1.15–1.90) and women (2.52, 1.46–4.35) who drank >3 drinks per day were at increased risk relative to moderate drinkers (Table 3).
Table 2

Age-adjusted risk ratios and incidence rates for head and neck cancer by alcohol use

   Age-adjusted
Total alcohol consumption Cases HR 95% CI Incidence ratesa per 100 000 person-years 95% CI
Men
 0 drinks per day1651.771.45–2.1661.351.9–70.7
 <1 drink per day2261.00(ref)34.430.0–39.0
 1–3 drinks per day1101.291.03–2.8244.536.1–52.8
 >3 drinks per day1102.251.79–2.8277.663.1–92.1
      
Women
 0 drinks per day541.390.98–1.9820.414.9–25.8
 <1 drink per day751.00(ref)14.711.3–18.0
 1–3 drinks per day362.691.81–4.0039.626.6–52.5
 >3 drinks per day185.163.08–8.6375.340.5–110.1

95% CI=95% confidence interval; HR=hazard ratio.

Incidence rates by alcohol category and gender were applied to the entire AARP population.

Table 3

Adjusted HR and 95% CI for alcohol intake and head and neck cancer

  Head and neck cancera
  Men
Women
  Cases HR 95% CI Cases HR 95% CI
Total alcohol
 0 drinks per day1651.681.37–2.06541.461.02–2.08
 <1 drink per day2261.00(ref)751.00(ref)
 1–3 drinks per day1101.230.98–1.55361.991.33–2.99
 >3 drinks per day1101.481.15–1.90182.521.46–4.35
P-value for trendb 0.001  0.0002 
       
Wine c
 0 drinks per day3181.341.10–1.63911.581.12–2.25
 <1 drink per day2521.00(ref)741.00(ref)
 1–3 drinks per day401.160.83–1.62181.971.17–3.31
 >3 drinks per day10.430.06–3.050  
P-value for trendb 0.872  0.332 
       
Beer d
 0 drinks per day2301.180.96–1.451070.850.60–1.19
 <1 drink per day2861.00(ref)671.00(ref)
 1–3 drinks per day411.240.89–1.7230.850.27–2.73
 >3 drinks per day541.611.16–2.2263.401.40–8.24
P-value for trendb 0.002  0.084 
       
Liquor e
 0 drinks per day2941.281.03–1.58921.160.80–1.66
 <1 drink per day1951.00(ref)621.00(ref)
 1–3 drinks per day611.531.14–2.04171.861.08–3.19
 >3 drinks per day611.851.37–2.50122.251.19–4.26
P-value for trendb <.0001  0.003 

95% CI=95% confidence interval; HR=hazard ratio.

Adjusted for gender, age at entry into cohort, body mass index, education, smoke-quit-dose, vigorous physical activity, usual activity throughout the day, fruit intake, vegetable intake, and total energy.

The test for trend was restricted to alcohol drinkers and used a linear variable where each subject was assigned the median intake value for their category.

Additionally adjusted for categories of beer and liquor.

Additionally adjusted for categories of liquor and wine.

Additionally adjusted for categories of wine and beer.

When examined by alcohol type, consuming more than three drinks of liquor or beer per day was associated with increased risk relative to moderate consumption of these beverages in both men and women (Table 3). We also investigated the association between alcohol intake and head and neck cancer sub-sites. Women who drank more than three alcoholic drinks per day were at significantly increased risk of oral cavity cancer (2.81, 1.29–6.11) and nonsignificantly increased risk of oropharyngeal and hypopharyngeal cancer (1.97, 0.42–9.31) and laryngeal cancer (2.15, 0.82–5.65) relative to moderate alcohol drinkers. Men who drank more than three alcoholic drinks per day were at significantly increased risk for cancers of the oral cavity (1.52, 1.01–2.27), oropharynx and hypopharynx (2.32, 1.29–4.18), but not the larynx compared to moderate drinkers (1.37, 0.91–2.05) (Table 4).
Table 4

Adjusted HR and 95% CI for head and neck cancer subtypes by gender

  Oral cavitya
Oropharynx and hypopharynxa
Larynxa
Cancer Sub-site Men
Women
Men
Women
Men
Women
Gender Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI Cases HR 95% CI
Total alcohol
 0 drinks per day571.431.03–2.00241.240.74–2.10372.831.74–4.6191.500.63–3.58591.551.11–2.16151.390.71–2.74
 <1 drink per day921.00(ref)381.00(ref)301.00(ref)131.00(ref)881.00(ref)211.00(ref)
 1–3 drinks per day441.220.85–1.76151.740.95–3.20181.530.85–2.76103.241.40–7.52411.180.82–1.7291.560.71–3.43
 >3 drinks per day431.521.01–2.2792.811.29–6.11242.321.29–4.1821.970.42–9.31411.370.91–2.0562.150.82–5.65
P-value for trendb 0.062  0.013  0.003  0.132  0.095  0.042 
                   
Wine c
 0 drinks per day1201.461.07–1.99401.430.86–2.39601.390.87–2.24171.870.83–4.231211.270.93–1.74261.340.70–2.56
 <1 drink per day1021.00(ref)371.00(ref)381.00(ref)131.00(ref)951.00(ref)211.00(ref)
 1–3 drinks per day140.970.55–1.7092.070.99–4.34101.980.98–4.0042.280.74–7.09131.030.58–1.8441.560.53–4.59
 >3 drinks per day0  0  12.590.35–19.050  0  0  
P-value for trendb 0.401  0.451  0.093  0.400  0.530  0.789 
                   
Beer d
 0 drinks per day790.950.68–1.34490.830.50–1.35522.521.53–4.17170.490.22–1.07831.000.72–1.39341.390.71–2.71
 <1 drink per day1171.00(ref)321.00(ref)361.00(ref)161.00(ref)1151.00(ref)141.00(ref)
 1–3 drinks per day171.300.78–2.1810.670.09–4.9781.830.85–3.9711.140.15–8.86141.010.58–1.7711.170.15–9.01
 >3 drinks per day231.781.08–2.9445.961.94–18.30133.121.54–6.310  171.140.65–1.9823.760.78–18.23
P-value for trendb 0.016  0.092  0.0003  0.517  0.772  0.122 
                   
Liquor e
0 drinks per day1091.200.86–1.68421.040.62–1.75531.160.68–1.96192.230.90–5.511141.491.06–2.10240.870.40–1.68
<1 drink per day811.00(ref)321.00(ref)291.00(ref)81.00(ref)711.00(ref)201.00(ref)
1–3 drinks per day251.560.99–2.4561.350.56–3.26142.361.24–4.4954.281.38–13.27191.270.77–2.1241.170.40–3.44
>3 drinks per day211.651.00–2.7262.450.99–6.05132.521.28–4.9923.280.66–16.27251.991.24–3.2131.310.38–4.57
P-value for trendb 0.068  0.072  0.009  0.135  0.001  0.298 

95% CI=95% confidence interval; HR=hazard ratio.

Adjusted for gender, age at entry into cohort, body mass index, education, smoke-quit-dose, vigorous physical activity, activity throughout the day, fruit intake, vegetable intake, and total energy.

The test for trend was restricted to alcohol drinkers and used a linear variable where each subject was assigned the median intake value for their category.

Additionally adjusted for categories of beer and liquor.

Additionally adjusted for categories of liquor and wine.

Additionally adjusted for categories of wine and beer.

In both age-adjusted models (Table 2; men: 1.77, 1.45–2.16; women: 1.39, 0.98–1.98) and multivariate adjusted models (Table 3; men: 1.68, 1.37–2.06; women: 1.46, 1.02–2.08), non-drinkers were at increased risk of head and neck cancer relative to moderate alcohol drinkers. When examined by alcohol type (Table 3), non-drinking men were at increased risk relative to moderate drinkers of wine (1.34, 1.10–1.63), beer (1.18, 0.96–1.45), and liquor (1.28, 1.03–1.58), whereas non-drinking women were at increased risk relative to moderate drinkers of wine (1.58, 1.12–2.25) and liquor (1.16, 0.80–1.66). We performed several sensitivity analyses. Years of education and alcohol intake were positively correlated (Pearson correlation of 0.12); so we stratified our analysis on years of education. The stratified estimates for non-drinkers relative to moderate drinkers were 1.70 (1.21–2.37) for men and 2.57 (1.20–5.53) for women who had a college education or greater and 1.76 (1.35–2.27) for men and 1.35 (0.89–2.03) for women without a college education. We also stratified by smoking status (current, former, and never). Non-drinking men and women were at elevated risk relative to moderate drinkers among current (men: 2.00, 1.39–2.88; women: 1.28, 0.77–2.13), former (men: 1.58, 1.17–2.13; women: 1.77, 0.94–3.34), and never smokers (men: 1.35, 0.85–2.15; women: 1.53, 0.59–3.94). We also excluded those who reported poor health on the questionnaire. After excluding 34 580 men and 25 013 women who reported poor health at baseline, non-drinking men (1.73, 1.32–2.17) and non-drinking women (1.67, 1.12–2.51) were at increased risk relative to moderate drinkers. Similarly, after excluding the first 2 years of follow-up, non-drinking participants remained at increased risk (men: 1.59, 1.21–2.09; women: 1.35, 0.94–4.25).

DISCUSSION

In a large prospective study, we investigated the association between alcohol and head and neck cancer in men and women separately. Consistent with previous studies (Blot ; Boffetta and Garfinkel, 1990; Adami ; Franceschi ; Gronbaek ; Kjaerheim ; Hayes ; Boffetta ; Boeing, 2002; Castellsague ; Sturgis ; Polesel ; Boffetta and Hashibe, 2006), predominantly of men, we observed a significant dose–response association between increasing alcohol consumption and head and neck cancer in both male and female alcohol drinkers. Results were generally similar for beer, liquor, and wine, although only 0.3% (1528) of the cohort (1064 men and 464 women) drank >3 glasses of wine per day limiting power. Hazard ratios for head and neck cancer sub-sites were also generally similar. In this study, although the absolute age-standardised incidence rates among those who drank 1–3 alcoholic drinks per day and those who drank >3 alcoholic drinks per day were similar in men and women, the HR for the association between alcohol intake and head and neck cancer risk were significantly higher for women than for men. Similar increased risks among women were observed in most previous studies of this association (Blot ; Franceschi ; Hayes ; Boffetta ). In our study, the higher HR observed in women compared to men result from lower incidence rates in the referent group. These differences in baseline incidence suggest the presence of additional gender-specific risk or protective factors. These factors might include occupational carcinogens (Boffetta ) or reproductive hormones (Yang ; Olsson ). Compared to not-drinking, drinking up to one alcoholic drink per day was associated with reduced head and neck cancer risk. Although some previous epidemiological studies have observed a protective association between moderate alcohol consumption and cancers of the head and neck and the aesophagus, results overall have been inconsistent (Franceschi ; Gronbaek ; Hayes ; Castellsague ; Polesel ). Most previous studies were conducted in populations that drink larger amounts of alcohol (Altieri ) than that of the current study. The observed inverse association could reflect exposure misclassification if former heavy drinkers had stopped drinking at the time of the questionnaire. Excluding either those subjects who reported poor health or the first 2 years of follow-up did not appreciably alter risk estimates and alcohol consumption was assessed before cancer diagnosis. However, some studies suggest that former drinkers remain at elevated risk for head and neck cancer, even 10 years after use (Hayes ; Castellsague ). Because we lacked information on past alcohol use, misclassification of non-drinkers may have affected our risk estimates. It is also possible that moderate alcohol drinking is a proxy for a healthy or privileged lifestyle or an associated exposure. We did adjust models for head and neck cancer risk factors as well as markers of lifestyle, including age, education, body mass index, smoking, physical activity, fruit intake, vegetable intake, and total energy intake. However, the observed protective association could still be due to an unmeasured or poorly measured confounder in our analysis, such as socioeconomic status (SES). Years of education, as with the other covariates used for adjustment, did not attenuate the protective association. We additionally explored SES as a confounder using median income of the census tract in which the participant lived. Inclusion of this variable in the multivariate analysis did not alter risk estimates (data shown). We also examined possible effect modification by smoking status, as health conscious individuals may be more likely to drink moderate quantities of alcohol and less likely to smoke. Although the risk estimates for moderate alcohol consumption were similar among current, former, and never smokers, few cases with head and neck cancer were non-smokers (95 men and 20 women), limiting the power to investigate this stratum. This study has a number of strengths. It is a large prospective analysis with exposure information collected before cancer diagnosis. We present models separately for men and women and we examined the associations for both total head and neck cancer and by sub-sites. To limit confounding, we adjusted our models for most of the major risk factors for head and neck cancer, including cigarette smoking, a strong risk factor that is associated with alcohol use. Furthermore, the large number of participants who consumed less than one alcoholic drink per day allowed us to investigate the association between moderate drinking and risk. This study also had several limitations. We lacked information on participant income and occupation, factors that could confound the association between alcohol intake and risk. We also lacked information about past alcohol consumption and smoking duration. In conclusion, among alcohol drinkers, increasing consumption of alcohol was associated with increased risk of head and neck cancer in both men and women. Although consumption of >3 drinks per day had a bigger HR for head and neck cancer in women than in men, incidence rates for men and women in this category were similar. Men and women who reported consuming less than one drink per day had lower rates of head and neck cancer than men and women who reported no alcohol consumption. The observed association between increasing alcohol consumption and increased head and neck cancer in men and women is consistent with many previous studies. In contrast, the observed protective association with drinking up to one alcoholic beverage per day should be interpreted cautiously and must be investigated further, particularly in prospective studies that collect information on lifetime use of alcohol.
  26 in total

1.  Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires.

Authors:  A F Subar; D Midthune; M Kulldorff; C C Brown; F E Thompson; V Kipnis; A Schatzkin
Journal:  Am J Epidemiol       Date:  2000-08-01       Impact factor: 4.897

2.  Alcohol and risk of cancer of the upper gastrointestinal tract: first analysis of the EPIC data.

Authors:  H Boeing
Journal:  IARC Sci Publ       Date:  2002

3.  Alcohol drinking patterns and diet quality: the 1999-2000 National Health and Nutrition Examination Survey.

Authors:  Rosalind A Breslow; Patricia M Guenther; Barbara A Smothers
Journal:  Am J Epidemiol       Date:  2006-01-04       Impact factor: 4.897

4.  Smoking and drinking in relation to oral and pharyngeal cancer.

Authors:  W J Blot; J K McLaughlin; D M Winn; D F Austin; R S Greenberg; S Preston-Martin; L Bernstein; J B Schoenberg; A Stemhagen; J F Fraumeni
Journal:  Cancer Res       Date:  1988-06-01       Impact factor: 12.701

5.  Differences in the sex ratio of laryngeal cancer incidence rates by anatomic subsite.

Authors:  P C Yang; D B Thomas; J R Daling; S Davis
Journal:  J Clin Epidemiol       Date:  1989       Impact factor: 6.437

6.  The role of alcohol and tobacco in multiple primary cancers of the upper digestive system, larynx and lung: a prospective study.

Authors:  D Schottenfeld; R C Gantt; E L Wyner
Journal:  Prev Med       Date:  1974-06       Impact factor: 4.018

7.  Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

Authors:  A Schatzkin; A F Subar; F E Thompson; L C Harlan; J Tangrea; A R Hollenbeck; P E Hurwitz; L Coyle; N Schussler; D S Michaud; L S Freedman; C C Brown; D Midthune; V Kipnis
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

8.  Are smoking-associated cancers prevented or postponed in women using hormone replacement therapy?

Authors:  H Olsson; A Bladström; C Ingvar
Journal:  Obstet Gynecol       Date:  2003-09       Impact factor: 7.661

9.  Occupation and larynx and hypopharynx cancer: an international case-control study in France, Italy, Spain, and Switzerland.

Authors:  Paolo Boffetta; Lorenzo Richiardi; Franco Berrino; Jacques Estève; Paola Pisani; Paolo Crosignani; Luc Raymond; Lourdes Zubiri; Angel Del Moral; Willy Lehmann; Francesco Donato; Benedetto Terracini; Albert Tuyns; Franco Merletti
Journal:  Cancer Causes Control       Date:  2003-04       Impact factor: 2.506

10.  The role of type of tobacco and type of alcoholic beverage in oral carcinogenesis.

Authors:  Xavier Castellsagué; Maria Jesús Quintana; Maria Carmen Martínez; Adoración Nieto; Maria José Sánchez; Amparo Juan; Antoni Monner; Marta Carrera; Antoni Agudo; Miquel Quer; Nubia Muñoz; Rolando Herrero; Silvia Franceschi; F Xavier Bosch
Journal:  Int J Cancer       Date:  2004-02-20       Impact factor: 7.396

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  27 in total

1.  The mediating effect of childhood abuse in sexual orientation disparities in tobacco and alcohol use during adolescence: results from the Nurses' Health Study II.

Authors:  Hee-Jin Jun; S Bryn Austin; Sarah A Wylie; Heather L Corliss; Benita Jackson; Donna Spiegelman; Mathew J Pazaris; Rosalind J Wright
Journal:  Cancer Causes Control       Date:  2010-07-18       Impact factor: 2.506

2.  Index-based dietary patterns and risk of head and neck cancer in a large prospective study.

Authors:  Wen-Qing Li; Yikyung Park; Jennifer W Wu; Alisa M Goldstein; Philip R Taylor; Albert R Hollenbeck; Neal D Freedman; Christian C Abnet
Journal:  Am J Clin Nutr       Date:  2014-01-08       Impact factor: 7.045

3.  Guidelines for the Surgical Management of Oral Cancer: Korean Society of Thyroid-Head and Neck Surgery.

Authors:  Young-Hoon Joo; Jae-Keun Cho; Bon Seok Koo; Minsu Kwon; Seong Keun Kwon; Soon Young Kwon; Min-Su Kim; Jeong Kyu Kim; Heejin Kim; Innchul Nam; Jong-Lyel Roh; Young Min Park; Il-Seok Park; Jung Je Park; Sung-Chan Shin; Soon-Hyun Ahn; Seongjun Won; Chang Hwan Ryu; Tae Mi Yoon; Giljoon Lee; Doh Young Lee; Myung-Chul Lee; Joon Kyoo Lee; Jin Choon Lee; Jae-Yol Lim; Jae Won Chang; Jeon Yeob Jang; Man Ki Chung; Yuh-Seok Jung; Jae-Gu Cho; Yoon Seok Choi; Jeong-Seok Choi; Guk Haeng Lee; Phil-Sang Chung
Journal:  Clin Exp Otorhinolaryngol       Date:  2019-02-02       Impact factor: 3.372

4.  Cancer incidence attributable to alcohol consumption in Alberta in 2012.

Authors:  Anne Grundy; Abbey E Poirier; Farah Khandwala; Alison McFadden; Christine M Friedenreich; Darren R Brenner
Journal:  CMAJ Open       Date:  2016-09-21

5.  An examination of male and female odds ratios by BMI, cigarette smoking, and alcohol consumption for cancers of the oral cavity, pharynx, and larynx in pooled data from 15 case-control studies.

Authors:  Jay H Lubin; Joshua Muscat; Mia M Gaudet; Andrew F Olshan; Maria Paula Curado; Luigino Dal Maso; Victor Wünsch-Filho; Erich M Sturgis; Neonilia Szeszenia-Dabrowska; Xavier Castellsague; Zuo-Feng Zhang; Elaine Smith; Leticia Fernandez; Elena Matos; Silvia Franceschi; Eleonora Fabianova; Peter Rudnai; Mark P Purdue; Dana Mates; Qingyi Wei; Rolando Herrero; Karl Kelsey; Hal Morgenstern; Oxana Shangina; Sergio Koifman; Jolanta Lissowska; Fabio Levi; Alexander W Daudt; Jose Eluf Neto; Chu Chen; Philip Lazarus; Deborah M Winn; Stephen M Schwartz; Paolo Boffetta; Paul Brennan; Ana Menezes; Carlo La Vecchia; Michael McClean; Renato Talamini; Thangarajan Rajkumar; Richard B Hayes; Mia Hashibe
Journal:  Cancer Causes Control       Date:  2011-07-09       Impact factor: 2.506

6.  Effects of smoking and alcohol consumption on 5-fluorouracil-related metabolic enzymes in oral squamous cell carcinoma.

Authors:  Tomomi Yamashita; Keizo Kato; Nguyen Khanh Long; Hiroki Makita; Kazuhiro Yonemoto; Kazuki Iida; Naritaka Tamaoki; Daijiro Hatakeyama; Toshiyuki Shibata
Journal:  Mol Clin Oncol       Date:  2014-03-07

Review 7.  Alcohol Use and Human Immunodeficiency Virus (HIV) Infection: Current Knowledge, Implications, and Future Directions.

Authors:  Emily C Williams; Judith A Hahn; Richard Saitz; Kendall Bryant; Marlene C Lira; Jeffrey H Samet
Journal:  Alcohol Clin Exp Res       Date:  2016-09-22       Impact factor: 3.455

8.  Consumption of alcohol and risk of cancer among men: a 30 year cohort study in Lithuania.

Authors:  Ruta Everatt; Abdonas Tamosiunas; Dalia Virviciute; Irena Kuzmickiene; Regina Reklaitiene
Journal:  Eur J Epidemiol       Date:  2013-05-23       Impact factor: 8.082

Review 9.  Psychological factors associated with head and neck cancer treatment and survivorship: evidence and opportunities for behavioral medicine.

Authors:  M Bryant Howren; Alan J Christensen; Lucy Hynds Karnell; Gerry F Funk
Journal:  J Consult Clin Psychol       Date:  2012-09-10

10.  A prospective cohort study of body size and risk of head and neck cancers in the NIH-AARP diet and health study.

Authors:  Arash Etemadi; Mark G O'Doherty; Neal D Freedman; Albert R Hollenbeck; Sanford M Dawsey; Christian C Abnet
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-29       Impact factor: 4.254

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