Shared and Study-specific Dietary Patterns and Head and Neck Cancer Risk in an International Consortium.


Journal

Epidemiology (Cambridge, Mass.)
ISSN: 1531-5487
Titre abrégé: Epidemiology
Pays: United States
ID NLM: 9009644

Informations de publication

Date de publication:
01 2019
Historique:
pubmed: 1 8 2018
medline: 26 3 2019
entrez: 1 8 2018
Statut: ppublish

Résumé

A few papers have considered reproducibility of a posteriori dietary patterns across populations, as well as pattern associations with head and neck cancer risk when multiple populations are available. We used individual-level pooled data from seven case-control studies (3844 cases; 6824 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We simultaneously derived shared and study-specific a posteriori patterns with a novel approach called multi-study factor analysis applied to 23 nutrients. We derived odds ratios (ORs) and 95% confidence intervals (CIs) for cancers of the oral cavity and pharynx combined, and larynx, from logistic regression models. We identified three shared patterns that were reproducible across studies (75% variance explained): the Antioxidant vitamins and fiber (OR = 0.57, 95% CI = 0.41, 0.78, highest versus lowest score quintile) and the Fats (OR = 0.80, 95% CI = 0.67, 0.95) patterns were inversely associated with oral and pharyngeal cancer risk. The Animal products and cereals (OR = 1.5, 95% CI = 1.1, 2.1) and the Fats (OR = 1.8, 95% CI = 1.4, 2.3) patterns were positively associated with laryngeal cancer risk, whereas a linear inverse trend in laryngeal cancer risk was evident for the Antioxidant vitamins and fiber pattern. We also identified four additional study-specific patterns, one for each of the four US studies examined. We named them all as Dairy products and breakfast cereals, and two were associated with oral and pharyngeal cancer risk. Multi-study factor analysis provides insight into pattern reproducibility and supports previous evidence on cross-country reproducibility of dietary patterns and on their association with head and neck cancer risk. See video abstract at, http://links.lww.com/EDE/B430.

Sections du résumé

BACKGROUND
A few papers have considered reproducibility of a posteriori dietary patterns across populations, as well as pattern associations with head and neck cancer risk when multiple populations are available.
METHODS
We used individual-level pooled data from seven case-control studies (3844 cases; 6824 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We simultaneously derived shared and study-specific a posteriori patterns with a novel approach called multi-study factor analysis applied to 23 nutrients. We derived odds ratios (ORs) and 95% confidence intervals (CIs) for cancers of the oral cavity and pharynx combined, and larynx, from logistic regression models.
RESULTS
We identified three shared patterns that were reproducible across studies (75% variance explained): the Antioxidant vitamins and fiber (OR = 0.57, 95% CI = 0.41, 0.78, highest versus lowest score quintile) and the Fats (OR = 0.80, 95% CI = 0.67, 0.95) patterns were inversely associated with oral and pharyngeal cancer risk. The Animal products and cereals (OR = 1.5, 95% CI = 1.1, 2.1) and the Fats (OR = 1.8, 95% CI = 1.4, 2.3) patterns were positively associated with laryngeal cancer risk, whereas a linear inverse trend in laryngeal cancer risk was evident for the Antioxidant vitamins and fiber pattern. We also identified four additional study-specific patterns, one for each of the four US studies examined. We named them all as Dairy products and breakfast cereals, and two were associated with oral and pharyngeal cancer risk.
CONCLUSION
Multi-study factor analysis provides insight into pattern reproducibility and supports previous evidence on cross-country reproducibility of dietary patterns and on their association with head and neck cancer risk. See video abstract at, http://links.lww.com/EDE/B430.

Identifiants

pubmed: 30063539
doi: 10.1097/EDE.0000000000000902
pmc: PMC6269206
mid: NIHMS1500965
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

93-102

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES010126
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA011386
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA078609
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA009142
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA096134
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA090731
Pays : United States
Organisme : NCI NIH HHS
ID : R03 CA077954
Pays : United States
Organisme : NIEHS NIH HHS
ID : R21 ES011667
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA100679
Pays : United States
Organisme : NCI NIH HHS
ID : R03 CA113157
Pays : United States
Organisme : NIDCR NIH HHS
ID : R03 DE016611
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA006516
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA090388
Pays : United States

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Auteurs

R De Vito (R)

From the Department of Computer Science, Princeton University, Princeton, NJ.

Yuan Chin Amy Lee (YCA)

Division of Public Health, Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT.

M Parpinel (M)

Department of Medicine, University of Udine, Udine, Italy.

D Serraino (D)

Epidemiology and Biostatistics Unit, CRO Aviano National Cancer Institute, IRCCS, Aviano, Italy.

Andrew Fergus Olshan (AF)

University of North Carolina School of Public Health, Chapel Hill, NC.

Jose Pedro Zevallos (JP)

Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC.

F Levi (F)

Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital (CHUV), Lausanne, Switzerland.

Zhuo Feng Zhang (ZF)

Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA.

H Morgenstern (H)

Departments of Epidemiology and Environmental Health Sciences, School of Public Health and Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI.

W Garavello (W)

Department of Otorhinolaryngology, School of Medicine and Surgery, University of Milano - Bicocca, Monza, Italy.

K Kelsey (K)

Department of Epidemiology and Pathology and Laboratory Medicine, Brown University, Providence, RI.

M McClean (M)

Department of Environmental Health, Boston University School of Public Health, Boston, MA.

S Schantz (S)

Department of Otolaryngology, New York Eye and Ear Infirmary, New York, NY.

Guo Pei Yu (GP)

Medical Informatics Center, Peking University, Peking, China.

P Boffetta (P)

The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.

Shu Chun Chuang (SC)

Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan.

M Hashibe (M)

Division of Public Health, Department of Family & Preventive Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT.

C La Vecchia (C)

Branch of Medical Statistics, Biometry and Epidemiology "G. A. Maccacaro," Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy.

G Parmigiani (G)

Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA.
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.

V Edefonti (V)

Branch of Medical Statistics, Biometry and Epidemiology "G. A. Maccacaro," Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy.

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