title: Risk of multiple myeloma in a case-spouse study.
abstract: This study examined lifestyle, occupation, medical history and medication use with multiple myeloma risk in a case-spouse study (481 patients, 351 spouses). Odds ratios (ORs) and 95% confidence intervals (CI) were calculated using logistic regression. Compared to spouse controls, cases were more likely to have a family history of multiple myeloma (OR = 2.8, 95% CI = 1.2-6.4) and smoked cigarettes (OR = 1.7, 95% CI = 1.2-2.5), but less likely to have consumed alcohol (OR = 0.6, 95% CI = 0.4-0.9). Nurse/health practitioners (OR = 2.8, 95% CI = 1.3-6.2) and production workers (OR = 3.7, 95% CI = 1.0-13.7) had significantly increased risks; and some occupations linked to diesel exhaust had elevated, but non-significant, risks. History of herpes simplex (OR = 1.7, 95% CI = 1.2-2.4), shingles (OR = 1.7, 95% CI = 1.1-2.7), sexually transmitted diseases (OR = 2.0, 95% CI = 1.0-3.7) and medication allergies (OR = 1.7, 95% CI = 1.2-2.4) were associated with higher risks. Use of angiotensin-converting enzyme inhibitors, anti-convulsants, antidepressants, statins and diuretics were associated with reduced risks. The results are consistent with previous population-based studies and support the utility of patient databanks and spouse controls as a resource in epidemiologic research.
authors.affiliation: a Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
authors.forename: Gabriella
authors.initials: G
authors.lastname: Andreotti
authors.affiliation: b International Myeloma Foundation , Hollywood , CA , USA ;
authors.forename: Michael
authors.initials: M
authors.lastname: Katz
authors.affiliation: c Cancer Research and Biostatistics , Seattle , WA , USA ;
authors.forename: Antje
authors.initials: A
authors.lastname: Hoering
authors.affiliation: d Cancer Center, University of Minnesota , Minneapolis , MN , USA ;
authors.forename: Brian
authors.initials: B
authors.lastname: Van Ness
authors.affiliation: c Cancer Research and Biostatistics , Seattle , WA , USA ;
authors.forename: John
authors.initials: J
authors.lastname: Crowley
authors.affiliation: e Haemato-Oncology, Institute of Cancer Research , Sutton , UK ;
authors.forename: Gareth
authors.initials: G
authors.lastname: Morgan
authors.affiliation: a Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
authors.forename: Robert N
authors.initials: RN
authors.lastname: Hoover
authors.affiliation: a Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
authors.forename: Dalsu
authors.initials: D
authors.lastname: Baris
authors.affiliation: b International Myeloma Foundation , Hollywood , CA , USA ;|f Cedar Sinai Medical Center , Los Angeles , CA , USA.
authors.forename: Brian
authors.initials: B
authors.lastname: Durie
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016022:Case-Control Studies; D015897:Comorbidity; D064420:Drug-Related Side Effects and Adverse Reactions; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009101:Multiple Myeloma / Q000453:epidemiology* / Q000209:etiology*; D016273:Occupational Exposure / Q000009:adverse effects; D009790:Occupations; D016017:Odds Ratio; D012306:Risk; D018454:Spouses; D055815:Young Adult
keywords: Myeloma; case–spouse; epidemiology