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    Leo, Q J N Ollberding, N J Wilkens, L R Kolonel, L N Henderson, B E Le Marchand, L and Maskarinec, G 2016. Nutritional factors and non-Hodgkin lymphoma survival in an ethnically diverse population: the Multiethnic Cohort. European Journal of Clinical Nutrition, Vol. 70, Issue. 1, p. 41.


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Dietary patterns and the risk of non-Hodgkin lymphoma

  • Nicholas J Ollberding (a1) (a2), Briseis Aschebrook-Kilfoy (a2), Donne Bennett D Caces (a3), Sonali M Smith (a3), Dennis D Weisenburger (a4) and Brian C-H Chiu (a2) (a5)
  • DOI: http://dx.doi.org/10.1017/S1368980013001249
  • Published online: 09 May 2013
Abstract
AbstractObjective

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 (ORQ4v.Q1 = 3·6, 95 % CI 1·9, 6·8; Ptrend = 0·0004), follicular lymphoma (ORQ4v.Q1 = 3·1, 95 % CI 1·2, 8·0; Ptrend = 0·01), diffuse large B-cell lymphoma (ORQ4v.Q1 = 3·2, 95 % CI 1·1, 9·0; Ptrend = 0·09) and marginal zone lymphoma (ORQ4v.Q1 = 8·2, 95 % CI 1·3, 51·2; Ptrend = 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.

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Copyright
Corresponding author
*Corresponding author: Email Nicholas.Ollberding@cchmc.org
Linked references
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1.R Siegel , E Ward , O Brawley et al. (2011) Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin 61, 212236.

2.BT Hennessy , EO Hanrahan & PA Daly (2004) Non-Hodgkin lymphoma: an update. Lancet Oncol 5, 341353.

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14.J-O Kim & CW Mueller (1978) Introduction to Factor Analysis. Newbury Park, CA: SAGE Publications.

16.E Erber , G Maskarinec , JK Gill et al. (2009) Dietary patterns and the risk of non-Hodgkin lymphoma: the Multiethnic Cohort. Leuk Lymphoma 50, 12691275.

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Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
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Supplementary Materials

Ollberding Supplementary Material
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