Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Dietary patterns and the risk of non-Hodgkin lymphoma

Bibliographic Data

ID15092552
AuthorsNicholas J Ollberding (0000-0001-9404-7368, University of Chicago, corresponding author), Briseis Aschebrook-Kilfoy, Briseis Aschebrook‐Kilfoy (0000-0003-1918-7816, University of Chicago), Donne Bennett D Caces, Donne Bennett Caces (University of Chicago), Sonali M Smith (0000-0002-9893-4949, University of Chicago), Dennis D Weisenburger (0000-0002-3343-5698, University of Nebraska Medical Center), Brian C-H Chiu (0000-0001-8979-7244, University of Chicago)
Year2014
Volume17
Issue7
Pages1531-1537
Publication date2014-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980013001249
PMID23659580
OpenAlexW2035148338
LanguageEN
Citations received1
References cited16

Objective Previous studies examining the role of single foods or nutrients in the aetiology of non-Hodgkin lymphoma (NHL) have produced inconsistent findings. Few studies have examined associations for dietary patterns, which may more accurately reflect patterns of consumption and the complexity of dietary intake. The objective of the present study was to examine whether dietary patterns identified by factor analysis were associated with NHL risk. Design Case–control. Setting Population-based sample residing in Nebraska from 1999 to 2002. Subjects A total of 336 cases and 460 controls. Results Factor analysis identified two major dietary patterns: (i) a ‘Meat, Fat and Sweets’ dietary pattern characterized by high intakes of French fries, red meat, processed meat, pizza, salty snacks, sweets and desserts, and sweetened beverages; and (ii) a ‘Fruit, Vegetables and Starch’ dietary pattern characterized by high intakes of vegetables, fruit, fish, and cereals and starches. In multivariable logistic regression models, the ‘Meat, Fat and Sweets’ dietary pattern was associated with an increased risk of overall NHL (OR Q4 v. Q1 = 3·6, 95 % CI 1·9, 6·8; P trend = 0·0004), follicular lymphoma (OR Q4 v. Q1 = 3·1, 95 % CI 1·2, 8·0; P trend = 0·01), diffuse large B-cell lymphoma (OR Q4 v. Q1 = 3·2, 95 % CI 1·1, 9·0; P trend = 0·09) and marginal zone lymphoma (OR Q4 v. Q1 = 8·2, 95 % CI 1·3, 51·2; P trend = 0·05). No association with overall or subtype-specific risk was detected for the ‘Fruit, Vegetables and Starch’ dietary pattern. No evidence of heterogeneity was detected across strata of age, sex, BMI, smoking status or alcohol consumption. Conclusions Our results suggest that a dietary pattern high in meats, fats and sweets may be associated with an increased risk of NHL

Environmental health · Hodgkin lymphoma · Lymphoma · Cancer Risks and Factors · Colorectal Cancer Screening and Detection · Medicine · Nutritional Studies and Diet · Internal Medicine

  • Consumption of Ultra-Processed Food and Drinks and Chronic Lymphocytic Leukemia in the MCC-Spain Study

    Open Access•Marta Solans, Sílvia Fernández‐Barrés et al.•International Journal of…•2021

  • Introduction to Factor Analysis

    Jae-On Kim, Charles Mueller et al.•Introduction to Factor Analysis•1978

  • Prospective study of major dietary patterns and risk of coronary heart disease in men

    Open Access•Frank B Hu, Eric B Rimm et al.•American Journal of Clinical…•2000

  • The Impact of Confounder Selection Criteria on Effect Estimation

    Ruth M Mickey, Sander Greenland•American Journal of Epidemiology•1989

  • A Data-Based Approach to Diet Questionnaire Design and Testing

    Gladys Block, Anne M Hartman et al.•American Journal of Epidemiology•1986

  • Validation of a self-administered diet history questionnaire using multiple diet records

    Open Access•Gladys Block, Margo Woods et al.•Journal of Clinical Epidemiology•1990

  • Empirically Derived Eating Patterns Using Factor or Cluster Analysis

    P K Newby, Kari L Tucker et al.•Nutrition Reviews•2004

Unique citing works1
Citations per year0,2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae