Search tips
Search criteria 


Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Int J Cancer. Author manuscript; available in PMC 2010 September 15.
Published in final edited form as:
PMCID: PMC2734966

Common Immune-Related Risk Factors and Incident Non-Hodgkin Lymphoma: The Multiethnic Cohort


Severe immune dysfunction is an established risk factor of lymphoma, but the role of moderate alterations of immunity is not clear and prospective investigations are needed. We examined several immune-related disorders and medications in relation to non-Hodgkin lymphoma (NHL) in the Multiethnic Cohort. Over 215,000 subjects of African American, Caucasian, Japanese American, Latino, and Native Hawaiian ancestry aged 45–75 years completed a questionnaire, including information on medical history, in 1993–1996. After exclusions, we performed Cox regression among 193,050 cohort members including 939 incident NHL cases while adjusting for sex, age, ethnicity, education, body mass index, and alcohol intake. Self-reported diabetes was not associated with NHL overall, but was positively associated with risk among Japanese Americans (hazard ratio (HR) = 1.55; 95% confidence interval (CI): 1.10–2.17). Participants with a history of blood transfusion were at increased risk with HR = 1.39 (95% CI: 1.06–1.84) in men and HR = 1.22 (95% CI: 0.94–1.58) in women, especially for the diffuse large B-cell lymphoma subtype. History of asthma or other allergies was associated with elevated risk only among Latinos (HR = 1.46; 95% CI: 1.07–2.00) who also showed a significant relation between current use of antihistamines and NHL (HR = 1.80; 95% CI: 1.09–2.97). Use of non-steroidal anti-inflammatory drugs was not associated with NHL. Our findings from this large prospective study support a moderate risk for NHL related to blood transfusions, current long-term antihistamine use, and diabetes, but the associations were limited to a certain ethnic groups and require further replications.

Keywords: allergy, blood transfusion, diabetes mellitus, lymphoma, non-Hodgkin, NSAIDs


Immune dysfunction is thought to be the basis of non-Hodgkin lymphoma (NHL) etiology; in particular human immunodeficiency virus infection and immunosuppressive therapy after organ transplants are well known to increase the risk of NHL.1 Autoimmune diseases with chronic immune stimulation and inflammation are also established risk factors, as best described for rheumatoid arthritis and systemic lupus erythematosus.2 More common conditions with less prominent effects on immunity may also affect lymphoma risk in cumulative exposures and might have contributed to the decades-long upward trend in NHL incidence.3;4 Such common immune disorders as diabetes and atopic conditions and those reflected by a history of a blood transfusion have shown less consistent associations with NHL.57 Use of over-the-counter treatments for common immune disorders, namely non-steroidal anti-inflammatory drugs (NSAIDs) and antihistamines, may also be associated with risk. The treatments, as a proxy for underlying immune disorders, may be linked to elevated NHL risk811 or they may reduce risk1216 by suppressing chronic inflammation.

To date, most epidemiologic studies examining common immunologic factors and NHL have been case-control studies which might have been biased from immune-altering effects of preclinical NHL.17 For example, NHL patients have been reported to experience fewer allergic symptoms.18 Based on the overall lack of consistent evidence and the need for results from prospective studies that collect data on exposure before onset of disease, we examined common conditions and medications related to immunity for their association with NHL risk within different ethnic groups in a large prospective cohort in the U.S.


Study Population

The Multiethnic Cohort (MEC) Study was assembled between 1993 and 1996 in Hawaii and Los Angeles with the purpose of providing prospective data on diet and other lifestyle exposures related to cancer risk in diverse ethnic groups (African American, Caucasian, Japanese American, Latino, Native Hawaiian, and Other). Details on recruitment and baseline information have been published previously.19 A self-administered questionnaire was mailed to people between the ages 45–75 years who were part of the five main ethnic groups in the study region, identified primarily through the drivers' license files for the state of Hawaii and the county of Los Angeles, California, supplemented with other information sources. Japanese Americans had the highest response rate (49%), whereas Latinos had the lowest (20%). Response rates were 3–8% higher among women than men across ethnic groups. A comparison of the cohort with census data indicated that the MEC represents all levels of educational although cohort members, in particular men, were somewhat better educated than the general population.19 From the 215,820 initial respondents who returned the questionnaire, 13,992 individuals were excluded because they did not belong to one of the five main ethnic groups, 8,264 subjects due to invalid dietary information, and 514 patients for NHL diagnosis before entry into the cohort, leaving 87,078 men and 105,972 women for the current analysis. The Institutional Review Boards at the University of Hawaii and at the University of Southern California approved the study, and all study participants provided informed consent.

Data Collection

The baseline questionnaire collected information on demographics, medical and reproductive history, medication use, family history of various cancers, and physical activity and included an extensive quantitative food frequency questionnaire. History of diabetes, blood transfusion, and allergies (“asthma, hay fever, skin allergy, food allergy, or any other allergy”) was assessed with the question, “Has your doctor ever told you that you had any of the following?”. The use of anti-inflammatory or anti-allergic medications was evaluated by the question, “Have you ever taken any of the following medications at least two times per week (for one month or longer)?”, for each of the following items – aspirin, other NSAIDs (ibuprofen, naproxen, indomethacin or other), and antihistamines (in the form of “pills or shots”) – with example brand names provided. Study participants responded by checking either “no”, “yes, but not at this time”, or “yes, currently”, and ever users were asked to indicate the length of medication use, categorized as ≤1 year, 2–3 years, 4–5 years, 6–10 years, or >10 years. Based on these responses, we created categories for each medication use: never users, past users of three duration levels (≤1 year, 2–5 years, and ≥6 years), or current users of the same three duration levels. For past users, the two highest categories had to be collapsed for some analyses due to small numbers. The categories were based on the answers allowable in the questionnaire. A variable for total use of NSAIDs was generated by summing up the years of aspirin and other NSAIDs. Data on medication use was missing in 5–6% of subjects and missing slightly more often in women than in men. Information on diabetes, blood transfusion, and allergies was complete.

Ascertainment and Classification of NHL Cases

Linkages of the MEC with the Hawaii Tumor Registry, the Los Angeles County Cancer Surveillance Program, and the State of California Cancer Registry were performed to identify incident cancer cases. These Surveillance, Epidemiology, and End Results (SEER) registries ascertain all primary cancer diagnoses among residents in their area and provide information on site, stage, histology, differentiation, grade, and disease-specific survival. Based on the low out-migration rate observed in the cohort (3.7% after an average follow-up of 7 years; with 2.5% California participants having moved to Hawaii and 4.9% Hawaii participants having moved to California), we expect case identification within the MEC to be close to complete.19 The follow-up ended at the earliest of the following events: diagnosis of NHL, death, or December 31, 2003, the last date of follow-up. NHL was defined and classified into the most common subtypes according to the proposed adaptation20 of the World Health Organization classification21 for epidemiologic studies using the International Classification of Disease Oncology version 3 (ICD-O-3): diffuse large B-cell lymphoma (DLBCL; 9675–9680, 9684), follicular lymphoma (FL; 9690, 9691, 9695, 9698), T-cell lymphomas (9700–9719, 9827, 9831, 9948), chronic lymphocytic leukemia (CLL; 9823) or small lymphocytic lymphoma (SLL; 9670), and other NHL subtypes (9590–9590, 9687, 9671–9675, 9689, 9699, 9727–9729, 9731–9734, 9760–9764, 9820, 9826, 9832–9837, 9940, 9970). Deaths in the cohort were identified by linkage to the state death certificate files in Hawaii and California and to the National Death Index for deaths occurring in other states.

Statistical Methods

All statistical analyses were performed using the SAS statistical software, version 9.1 (SAS Institute, Inc., Cary, NC). We used Cox proportional hazards regression (PROC PHREG) to estimate the risk of NHL due to immune-related conditions and medications (diabetes, blood transfusion, allergies, antihistamines, and NSAIDs). We calculated hazard ratios (HR) and 95% confidence intervals (CI) using age as the underlying time metric.22 The final models were stratified by follow-up time, categorized as ≤2 years, 2–5 years, and >5 years, and were adjusted for age at cohort entry (continuous), education (<12 or ≥12 years), body mass index (BMI; <25, 25–30, or ≥30 kg/m2), and alcohol use (never or rare drinkers with <0.1 drinks/week, 0.1–2.9 drinks/week, or ≥3 drinks/week). BMI and alcohol intake were included in the model because they have known pro- and anti-inflammatory effects, respectively, and have been associated with NHL risk in previous studies.23;24 Other factors, such as smoking, physical activity, and reproductive history, were examined for potential confounding effects but were ruled out because they produced a less than 10% change in the HR estimates for the main association. Linear trend for the duration of past and current medication use was tested using ordinal variables that included the median value for each duration category. We also conducted stratified analyses by ethnicity and common NHL subtypes. However, a few small subgroups (Native Hawaiians, T-cell NHL, and “other” subtypes) were excluded from the analyses because of limited sample sizes. No major violations of the proportional hazards assumption were observed when examined with Kaplan-Meier survival curves and Schoenfeld residuals.25


During the median 10 years of follow-up, 939 subjects (514 men and 425 women) were newly diagnosed with NHL (Table 1). NHL cases were more likely to be older, Caucasian, and former smokers and drink more alcohol compared to non-cases at baseline. All ethnic groups had a relatively high proportion of DLBCL (Japanese 37%, Latinos 45%, Caucasians 25%, African-Americans 24%, and Native Hawaiians 34%), whereas the percentage of SLL/CLL cases was highest in Caucasians (32%), African-Americans (28%), and Native Hawaiians (24%) and low in Japanese (10%) and Latinos (14%). The proportions of FL and T cell tumors were relatively similar; they varied between 13–19% and 2–12%.

Table 1
Baseline characteristics of incident non-Hodgkin lymphoma cases and non-cases in the Multiethnic Cohort Study, 1993 – 20031

A diagnosis of diabetes, reported by 13% of the cohort participants, was not related to the risk of developing NHL in men and women (Table 2). A history of blood transfusions as present in 8% of men and 13% of women was associated with an increased NHL risk in men (HR = 1.39; 95% CI: 1.06–1.84), while a suggestive positive relation was observed in women (HR = 1.22; 95% CI: 0.94–1.58). The positive association did not change materially when the first two years of follow-up were excluded: the HR for men and women combined changed from 1.30 (95% CI: 1.08–1.57) to 1.27 (95% CI: 1.03–1.56). NHL risk was not modified among 30% of the cohort participants who reported asthma or other forms of allergies, but it was elevated among current long-term users of antihistamines when compared to never users. The respective risk estimates in men and women were 1.88 (95% CI: 1.20–2.95; Ptrend for increasing duration = 0.02) and 1.42 (95% CI: 0.91–2.21; Ptrend = 0.07). Use of aspirin or other NSAIDs did not show a significant association with NHL risk, except for past use of other NSAIDs in women; women with at least 2 years of past use had a HR = 0.61 (95% CI: 0.38–0.99; Ptrend = 0.04).

Table 2
Association of immune-related conditions and medications with non-Hodgkin lymphoma in the Multiethnic Cohort Study, 1993-2003

Due to the similar results for diabetes and asthma in men and women and the non-significant findings for NSAIDs, we combined results for men and women when we stratified by ethnic group and NHL subtype. Among the four large ethnic groups in the MEC study (Table 3), the association for diabetes was positive among Japanese Americans (HR = 1.55; 95% CI: 1.10, 2.17). The significant risk observed for blood transfusions in the total population was limited to Japanese Americans (HR = 1.51; 95% CI: 1.06, 2.17) and Latinos (HR = 1.71; 95% CI: 1.17, 2.49). Both the associations of allergies and antihistamines with NHL were strongest among Latinos: the HR for allergies was 1.46 (95% CI: 1.07, 2.00) and the HR for current antihistamine use was 1.80 (95% CI: 1.09, 2.97). Neither total nor individual NSAIDs showed a significant or consistent pattern of association with NHL across by ethnic group.

Table 3
Association of immune-related conditions and medications with non-Hodgkin lymphoma by ethnicity in the Multiethnic Cohort Study, 1993–2003

DLBCL was the most common NHL subtype in both men and women, followed by CLL/SLL and FL (Table 1). The positive association for blood transfusions was only significant for DLBCL (HR = 1.55; 95% CI: 1.10, 2.17), whereas the null associations of diabetes and allergies were consistent across the common NHL subtypes (Table 4). The elevated risk associated with current antihistamine use was limited to DLBCL (HR = 2.34; 95% CI: 1.21, 4.55). NSAID use showed mostly null associations, though past use of non-aspirin types was associated with a reduced risk for FL only (HR = 0.56; 95% CI: 0.34, 0.90).

Table 4
Association of immune-related conditions and medications with common subtypes of non-Hodgkin lymphoma in the Multiethnic Cohort Study, 1993–20031


The development of NHL itself alters immune functions.4 Therefore, prospective cohorts offer the optimal research design, especially for investigations addressing the role of mild immune factors in NHL etiology, although they tend to lack detailed information on diverse exposure items.4 In this analysis, one of the largest prospective investigations of common immune-related exposures, we found several associations with NHL risk. In particular, a history of blood transfusion and current long-term use of antihistamines were related to a higher risk of NHL. Other findings were limited to specific ethnic groups or NHL subtypes. Diabetes was associated with elevated NHL risk only among Japanese Americans. A history of allergies was positively linked to NHL among Latinos who also experienced a significant risk related to the use of antihistamines. The association with blood transfusion and antihistamine use was limited to DLBCL, which is consistent with previous reports that have provided more evidence for altered immunity as a risk factor for DLBCL than for FL.2628

Our finding of a positive association between blood transfusion and NHL is consistent with previous reports.7;29 For example, a large population-based case-control study29 reported an odds ratio (OR) of 1.26 (95% CI: 0.91–1.73). In that study, the risk was significantly higher for cases with a longer duration since the first transfusion and for transfusions given for a medical condition than for trauma, surgery, or obstetrics.29 Therefore, it was postulated that blood transfusion may reflect the risk associated with immunity-altering medical conditions (e.g., anemia, ulcer, hemorrhage)29;30 rather than a direct immunosuppressive effect of transfusion.31 Unfortunately, our study did not record reasons for transfusions, but ethnic differences in the indications for transfusion seem plausible. Data are sparse for Asian Americans, but in Japan, low iron intake and anemia continue to be a prevalent health concern (above 15% of women in a national survey).32;33 Therefore, anemia and other medical conditions that require blood transfusion may compromise immune function and in turn raise the risk of NHL. Alternatively, hepatitis C transmitted by infected donors may be responsible for the risk associated with transfusions.1 Although blood banks are required to test blood donations for viral markers, blood transfusions are suspected to cause about 6% of all Hepatitis C infections.34;35 Hepatitis C infection appears to be mainly associated with B-cell NHL, which might explain the positive association between blood transfusion and DLBCL in our study.3638 Although some earlier case-control studies did not find an association with transfusions, other cohort studies and our findings support this hypothesis.7

The positive association between antihistamine use and NHL in the MEC is inconsistent with previously reported inverse associations39;40 and needs to be examined in light of the allergy-NHL relation in general. Studies on the link between atopic conditions and NHL have been equivocal,6;41;42 involving two contradictory hypotheses. Allergic individuals with hypersensitive Th2-dominant immunity may either develop more efficient tumor immunosurveillance and, thus, be protected from lymphomagenesis or they may suffer from greater immune cell proliferation and malignant transformation.43 Based on a number of case-control studies and a few small cohort studies,44 the association remains inconclusive, reflecting the following complexities: (i) NHL itself suppresses reactions to allergens;4 (ii) heterogenous findings on allergens, e.g., more consistent reports of protection from hay fever,45;46 elevated risk from medication allergies,6 and mostly null findings on asthma;6;45 and (iii) unreliable self-reports of allergy that were not medically confirmed.46 Thus, it is not surprising that the self-reported history of diverse types of allergies in our data did not show an association with NHL. Similarly, the only prospective study of NHL and immunoglobulin E reactivity found an inverse association that was limited to cases diagnosed shortly after blood collection, which suggests that findings of a protective effect might have been due to reverse effects of latent disease.46 The persistent positive association in our analysis after excluding cases diagnosed during two years after baseline likely precludes such reverse causal bias. Nevertheless, replications in a cohort setting with immunological biomarkers as well as with detailed medical and treatment histories are needed. The associations for allergy history and medications in Latinos, although intriguing, could have been a chance finding; we do not have a plausible explanation for them.

Unlike rarer autoimmune disorders with more severely altered immune status, common autoimmune conditions such as diabetes have shown null or inconsistent associations of smaller magnitude.4;17 Although our study did not distinguish between diabetes types, more than 95% are expected to be type 2 given the age of the MEC participants. Type 2 diabetes with its insulin resistance and chronic inflammatory state was associated with an 28% higher risk of NHL, but the substantial heterogeneity among studies prevented a firm conclusion in a meta-analysis.5 Our null overall findings might have resulted from attenuations due to undiagnosed diabetes cases since we relied on self-reports.47 The positive association with NHL among Japanese Americans is consistent with the stronger risk estimates from previous case-control studies conducted in East Asia.5 While it is not clear whether this association has a biological basis related to the higher susceptibility to insulin resistance observed in Asian populations,48 further investigations of the diabetes-NHL association may be needed considering rapidly increasing central obesity and type 2 diabetes in this ethnic group.49

We find it difficult to resolve the controversy as to whether the presence of inflammatory conditions or the use of anti-inflammatory medications themselves constitute a risk factor for NHL, or these medications may even protect against the disease.50 The epidemiologic studies to date have shown both positive911 and negative14;15 associations. We did not detect significant or consistent associations with risk for total NSAIDs, aspirin specifically, or other NSAIDs, but long-term use of other NSAIDs in time appeared to be protective in women.

In this large prospective investigation, past exposure to immune-related conditions and medications was assessed prior to NHL diagnosis, minimizing selection and recall bias, the most serious limitation in most previous studies.4 In addition, the MEC study had nearly complete follow-up, utilized linkages to SEER registries which have standardized ascertainment procedures and a high rate of histologically-confirmed cases, and included detailed demographic and lifestyle information that allowed controlling of confounding or modifying effects in the analysis. The inclusion of different ethnic groups is novel and likely to have contributed to a wider range of exposures to the immune factors examined. The differential risk estimates across ethnic groups may be due to differences in subtypes. DLBCL, the most common subtype among Japanese Americans and Latinos, may have a stronger association with diabetes and allergies. Genetic susceptibility might also contribute to the diverse findings; hopefully, genetic investigations will provide new insights.1 However, caution is advised; the low response rates among some ethnic groups may have biased the ethnic specific results.

The main limitation of our study, like any other prospective cohort set up to investigate diverse etiologic factors, was lack of detailed exposure information. However, our aim was to put to test the consistency of some of the prior observations from retrospective study design, and we were able to do so for some of the associations as described above. The small numbers of cases in some ethnic and NHL subtype categories resulted in a lack of statistical power. The different response rates by sex and ethnicity, especially the low response rate in Latinos, are of concern. However, it has been shown that our study sample is quite comparable in terms of education and marital status to persons living in the study area.19

In summary, this large prospective cohort supports a moderate NHL risk related to a history of blood transfusions and long-term antihistamine use. The association with transfusions was observed primarily in Japanese Americans and Latinos. Japanese Americans also experienced a higher NHL risk related to diabetes, whereas antihistamine use and allergies conferred a higher NHL risk only among Latinos. Given the current sample sizes, the ethnic-and subtype-specific findings will need to be reexamined after a longer follow-up.


The Multiethnic Cohort has been supported by NCI grant R37CA54281 (PI: Dr. L.N. Kolonel). The recruitment of Native Hawaiians was funded by grant DAMD 17-94-T-4184 (PI: Dr. A. Nomura). The Hawaii Tumor Registry is supported by the SEER contract N01-PC-35137.


(1) Alexander DD, Mink PJ, Adami HO, Chang ET, Cole P, Mandel JS, Trichopoulos D. The non-Hodgkin lymphomas: a review of the epidemiologic literature. Int J Cancer. 2007;120(Suppl 12):1–39. [PubMed]
(2) Zintzaras E, Voulgarelis M, Moutsopoulos HM. The risk of lymphoma development in autoimmune diseases: a meta-analysis. Arch Intern Med. 2005;165:2337–2344. [PubMed]
(3) Hartge P, Wang SS, Bracci PM, Devesa SS, Holly EA. Non-Hodgkin Lymphoma. In: Schottenfeld D, Fraumeni JF, editors. Cancer Epidemiology and Prevention. Oxford University Press; New York: 2006. pp. 898–918.
(4) Grulich AE, Vajdic CM, Cozen W. Altered immunity as a risk factor for non-Hodgkin lymphoma. Cancer Epidemiol Biomarkers Prev. 2007;16:405–408. [PubMed]
(5) Chao C, Page JH. Type 2 Diabetes Mellitus and Risk of Non-Hodgkin Lymphoma: A Systematic Review and Meta-Analysis. Am J Epidemiol. 2008 [PubMed]
(6) Cozen W, Cerhan JR, Martinez-Maza O, Ward MH, Linet M, Colt JS, Davis S, Severson RK, Hartge P, Bernstein L. The effect of atopy, childhood crowding, and other immune-related factors on non-Hodgkin lymphoma risk. Cancer Causes Control. 2007;18:821–831. [PubMed]
(7) Chow EJ, Holly EA. Blood transfusions as a risk factor for non-Hodgkin's lymphoma in the San Francisco Bay Area: a population-based study. Am J Epidemiol. 2002;155:725–731. [PubMed]
(8) Bernstein L, Ross RK. Prior medication use and health history as risk factors for non-Hodgkin's lymphoma: preliminary results from a case-control study in Los Angeles County. Cancer Res. 1992;52:5510s–5515s. [PubMed]
(9) Kato I, Koenig KL, Shore RE, Baptiste MS, Lillquist PP, Frizzera G, Burke JS, Watanabe H. Use of anti-inflammatory and non-narcotic analgesic drugs and risk of non-Hodgkin's lymphoma (NHL) (United States) Cancer Causes Control. 2002;13:965–974. [PubMed]
(10) Cerhan JR, Anderson KE, Janney CA, Vachon CM, Witzig TE, Habermann TM. Association of aspirin and other non-steroidal anti-inflammatory drug use with incidence of non-Hodgkin lymphoma. Int J Cancer. 2003;106:784–788. [PubMed]
(11) Chang ET, Smedby KE, Hjalgrim H, Schollkopf C, Porwit-MacDonald A, Sundstrom C, Tani E, d'Amore F, Melbye M, Adami HO, Glimelius B. Medication use and risk of non-Hodgkin's lymphoma. Am J Epidemiol. 2005;162:965–974. [PubMed]
(12) Zhang Y, Holford TR, Leaderer B, Zahm SH, Boyle P, Morton LM, Zhang B, Zou K, Flynn S, Tallini G, Owens PH, Zheng T. Prior medical conditions and medication use and risk of non-Hodgkin lymphoma in Connecticut United States women. Cancer Causes Control. 2004;15:419–428. [PubMed]
(13) Hoeft B, Becker N, Deeg E, Beckmann L, Nieters A. Joint effect between regular use of non-steroidal anti-inflammatory drugs, variants in inflammatory genes and risk of lymphoma. Cancer Causes Control. 2008;19:163–173. [PubMed]
(14) Zhang Y, Coogan PF, Palmer JR, Strom BL, Rosenberg L. Risk of non-Hodgkin lymphoma and use of non-steroidal anti-inflammatory drugs. Cancer Detect Prev. 2006;30:99–101. [PubMed]
(15) Flick ED, Chan KA, Bracci PM, Holly EA. Use of nonsteroidal antiinflammatory drugs and non-Hodgkin lymphoma: a population-based case-control study. Am J Epidemiol. 2006;164:497–504. [PubMed]
(16) Baker JA, Weiss JR, Czuczman MS, Menezes RJ, Ambrosone CB, Moysich KB. Regular use of aspirin or acetaminophen and risk of non-Hodgkin lymphoma. Cancer Causes Control. 2005;16:301–308. [PubMed]
(17) Ekstrom SK, Vajdic CM, Falster M, Engels EA, Martinez-Maza O, Turner J, Hjalgrim H, Vineis P, Seniori CA, Bracci PM, Holly EA, Willett E, et al. Autoimmune disorders and risk of non-Hodgkin lymphoma subtypes: a pooled analysis within the InterLymph Consortium. Blood. 2008;111:4029–4038. [PubMed]
(18) McCormick DP, Ammann AJ, Ishizaka K, Miller DG, Hong R. A study of allergy in patients with malignant lymphoma and chronic lymphocytic leukemia. Cancer. 1971;27:93–99. [PubMed]
(19) Kolonel LN, Henderson BE, Hankin JH, Nomura AMY, Wilkens LR, Pike MC, Stram DO, Monroe KR, Earle ME, Nagamine FS. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol. 2000;151:346–357. [PMC free article] [PubMed]
(20) Morton LM, Turner JJ, Cerhan JR, Linet MS, Treseler PA, Clarke CA, Jack A, Cozen W, Maynadie M, Spinelli JJ, Costantini AS, Rudiger T, et al. Proposed classification of lymphoid neoplasms for epidemiologic research from the Pathology Working Group of the International Lymphoma Epidemiology Consortium (InterLymph) Blood. 2007;110:695–708. [PubMed]
(21) Jaffe ES, Harris NL, Stein H, Vardiman JW. Pathology and genetics of tumours of haemotopoietic and lymphoid tissues. IARC Press; Lyon, France: 2001.
(22) Thiebaut AC, Benichou J. Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Stat Med. 2004;23:3803–3820. [PubMed]
(23) Maskarinec G, Erber E, Gill J, Cozen W, Kolonel LN. Overweight and Obesity at Different Times in Life as Risk Factors for Non-Hodgkin's Lymphoma: The Multiethnic Cohort. Cancer Epidemiol Biomarkers Prev. 2008;17:196–203. [PubMed]
(24) Morton LM, Zheng T, Holford TR, Holly EA, Chiu BC, Costantini AS, Stagnaro E, Willett EV, Dal ML, Serraino D, Chang ET, Cozen W, et al. Alcohol consumption and risk of non-Hodgkin lymphoma: a pooled analysis. Lancet Oncol. 2005;6:469–476. [PubMed]
(25) Kleinbaum DG. Survival Analysis. Springer; New York: 1995.
(26) Smedby KE, Baecklund E, Askling J. Malignant lymphomas in autoimmunity and inflammation: a review of risks, risk factors, and lymphoma characteristics. Cancer Epidemiol Biomarkers Prev. 2006;15:2069–2077. [PubMed]
(27) Rothman N, Skibola CF, Wang SS, Morgan G, Lan Q, Smith MT, Spinelli JJ, Willett E, De SS, Cocco P, Berndt SI, Brennan P, et al. Genetic variation in TNF and IL10 and risk of non-Hodgkin lymphoma: a report from the InterLymph Consortium. Lancet Oncol. 2006;7:27–38. [PubMed]
(28) Morton LM, Wang SS, Cozen W, Linet MS, Chatterjee N, Davis S, Severson RK, Colt JS, Vasef MA, Rothman N, Blair A, Bernstein L, et al. Etiologic heterogeneity among non-Hodgkin lymphoma subtypes. Blood. 2008;112:5150–5160. [PubMed]
(29) Cerhan JR, Engels EA, Cozen W, Davis S, Severson RK, Morton LM, Gridley G, Hartge P, Linet M. Blood transfusion, anesthesia, surgery and risk of non-Hodgkin lymphoma in a population-based case-control study. Int J Cancer. 2008;123:888–894. [PMC free article] [PubMed]
(30) Zhang Y, Holford TR, Leaderer B, Boyle P, Zahm SH, Owens PH, Morton LM, Zhang B, Zou K, Flynn S, Tallini G, Zheng T. Blood transfusion and risk of non-Hodgkin's lymphoma in Connecticut women. Am J Epidemiol. 2004;160:325–330. [PubMed]
(31) Brand A. Immunological aspects of blood transfusions. Transpl Immunol. 2002;10:183–190. [PubMed]
(32) Maeda M, Yamamoto M, Yamauchi K. Prevalence of anemia in Japanese adolescents: 30 years' experience in screening for anemia. Int J Hematol. 1999;69:75–80. [PubMed]
(33) Takimoto H, Yoshiike N, Katagiri A, Ishida H, Abe S. Nutritional status of pregnant and lactating women in Japan: a comparison with non-pregnant/non-lactating controls in the National Nutrition Survey. J Obstet Gynaecol Res. 2003;29:96–103. [PubMed]
(34) Gitnick G. Hepatitis C: controversies, strategies and challenges. Eur J Surg Suppl. 1998:65–70. [PubMed]
(35) U.S.Food and Drug Administration Compliance Program; Chapter 42 - Blood and Blood Products. Inspection of Licensed Viral Marker Test Kits. 7342.008. . 9-30-1999. 2-27-2009.
(36) Zuckerman E, Zuckerman T, Levine AM, Douer D, Gutekunst K, Mizokami M, Qian DG, Velankar M, Nathwani BN, Fong TL. Hepatitis C virus infection in patients with B-cell non-Hodgkin lymphoma. Ann Intern Med. 1997;127:423–428. [PubMed]
(37) Ohsawa M, Shingu N, Miwa H, Yoshihara H, Kubo M, Tsukuma H, Teshima H, Hashimoto M, Aozasa K. Risk of non-Hodgkin's lymphoma in patients with hepatitis C virus infection. Int J Cancer. 1999;80:237–239. [PubMed]
(38) Imai Y, Ohsawa M, Tanaka H, Tamura S, Sugawara H, Kuyama J, Fukuda K, Yonezawa T, Matsuzawa Y. High prevalence of HCV infection in patients with B-cell non-Hodgkin's lymphoma: comparison with birth cohort- and sex-matched blood donors in a Japanese population. Hepatology. 2002;35:974–976. [PubMed]
(39) Holly EA, Lele C. Non-Hodgkin's lymphoma in HIV-positive and HIV-negative homosexual men in the San Francisco Bay Area: allergies, prior medication use, and sexual practices. J Acquir Immune Defic Syndr Hum Retrovirol. 1997;15:211–222. [PubMed]
(40) McDuffie HH, Pahwa P, McLaughlin JR, Spinelli JJ, Fincham S, Dosman JA, Robson D, Skinnider LF, Choi NW. Non-Hodgkin's lymphoma and specific pesticide exposures in men: cross-Canada study of pesticides and health. Cancer Epidemiol Biomarkers Prev. 2001;10:1155–1163. [PubMed]
(41) Soderberg KC, Hagmar L, Schwartzbaum J, Feychting M. Allergic conditions and risk of hematological malignancies in adults: a cohort study. BMC Public Health. 2004;4:51. [PMC free article] [PubMed]
(42) Briggs NC, Levine RS, Brann EA. Allergies and risk of non-Hodgkin's lymphoma by subtype. Cancer Epidemiol Biomarkers Prev. 2002;11:401–407. [PubMed]
(43) Carrozzi L, Viegi G. Allergy and cancer: a biological and epidemiological rebus. Allergy. 2005;60:1095–1097. [PubMed]
(44) Wang H, Diepgen TL. Is atopy a protective or a risk factor for cancer? A review of epidemiological studies. Allergy. 2005;60:1098–1111. [PubMed]
(45) Grulich AE, Vajdic CM, Kaldor JM, Hughes AM, Kricker A, Fritschi L, Turner JJ, Milliken S, Benke G, Armstrong BK. Birth order, atopy, and risk of non-Hodgkin lymphoma. J Natl Cancer Inst. 2005;97:587–594. [PubMed]
(46) Melbye M, Smedby KE, Lehtinen T, Rostgaard K, Glimelius B, Munksgaard L, Schollkopf C, Sundstrom C, Chang ET, Koskela P, Adami HO, Hjalgrim H. Atopy and risk of non-Hodgkin lymphoma. J Natl Cancer Inst. 2007;99:158–166. [PubMed]
(47) Margolis KL, Lihong Q, Brzyski R, Bonds DE, Howard BV, Kempainen S, Simin L, Robinson JG, Safford MM, Tinker LT, Phillips LS. Validity of diabetes self-reports in the Women's Health Initiative: comparison with medication inventories and fasting glucose measurements. Clin Trials. 2008;5:240–247. [PMC free article] [PubMed]
(48) Yajnik CS. Early life origins of insulin resistance and type 2 diabetes in India and other Asian countries. J Nutr. 2004;134:205–210. [PubMed]
(49) Fujimoto WY, Bergstrom RW, Boyko EJ, Kinyoun JL, Leonetti DL, Newell-Morris LL, Robinson LR, Shuman WP, Stolov WC, Tsunehara CH. Diabetes and diabetes risk factors in second- and third-generation Japanese Americans in Seattle, Washington. Diabetes Res Clin Pract. 1994;24(Suppl):S43–S52. [PubMed]
(50) Ekstrom-Smedby K. Epidemiology and etiology of non-Hodgkin lymphoma--a review. Acta Oncol. 2006;45:258–271. [PubMed]