Socioeconomic Position is Positively Associated with Monoclonal Gammopathy of Undetermined Significance in a Population-based Cohort Study.


Journal

Annals of hematology
ISSN: 1432-0584
Titre abrégé: Ann Hematol
Pays: Germany
ID NLM: 9107334

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 21 05 2019
accepted: 11 10 2019
pubmed: 7 11 2019
medline: 18 12 2019
entrez: 7 11 2019
Statut: ppublish

Résumé

Knowledge of social inequalities in monoclonal gammopathy of undetermined significance (MGUS) will contribute to understanding multiple myeloma (MM) etiology, as MGUS consistently precedes MM. The aim of the present study was to examine whether socioeconomic position (SEP) is associated with MGUS in a population-based cohort including information on potential MGUS risk factors. Overall, 4787 study participants aged 45-75 years with information on MGUS were included. SEP indicators (education, income) and potential risk factors (i.e., body mass index, diabetes, smoking, dietary factors) were assessed at baseline. Overall, 260 MGUS cases were detected at baseline and prospectively over a 10-year follow-up. In age-adjusted logistic regression models, a lower chance of having MGUS at baseline or developing MGUS during 10 years of follow-up was indicated for groups of low SEP with odds ratios (OR) of 0.39 (95% confidence interval [95%-CI] 0.19-0.76) for women and 0.48 (95% CI 0.10-1.16) for men in the lowest compared to the highest educational group. After additionally including potential mediating risk factors in the regression models, the estimated ORs changed only slightly in magnitude. Similar results were obtained for income. Current smoking and low fruit consumption were associated with MGUS independently of SEP in women, but not in men. The present study indicates a lower MGUS risk in lower SEP groups. Supporting evidence is given that smoking and diet play a role in the development of MGUS independently of SEP, while it has to be assumed that risk factors unknown to date are responsible for the observed social inequalities in MGUS.

Identifiants

pubmed: 31691002
doi: 10.1007/s00277-019-03825-5
pii: 10.1007/s00277-019-03825-5
doi:

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

2761-2767

Subventions

Organisme : Heinz Nixdorf Foundation
ID : -
Organisme : German Research Council
ID : SI 236/8-1, SI 236/9-1, ER 155/6-1, ER 155/6-2
Organisme : University Hospital of Essen
ID : IFORES
Organisme : Celgene, Munich, Germany
ID : -
Organisme : The Binding Site Ltd.
ID : FREELITE test kits
Organisme : Sarstedt AG & Co
ID : laboratory equipment

Auteurs

Börge Schmidt (B)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany. boerge.schmidt@uk-essen.de.

Elisabeth Debold (E)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Mirjam Frank (M)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Marina Arendt (M)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Nico Dragano (N)

Department of Medical Sociology, University Clinic Düsseldorf, Düsseldorf, Germany.

Jan Dürig (J)

Department of Hematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Ulrich Dührsen (U)

Department of Hematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Susanne Moebus (S)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Raimund Erbel (R)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Karl-Heinz Jöckel (KH)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

Lewin Eisele (L)

Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.

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Classifications MeSH