Literature DB >> 26422532

Risk of multiple myeloma in a case-spouse study.

Gabriella Andreotti1, Michael Katz2, Antje Hoering3, Brian Van Ness4, John Crowley3, Gareth Morgan5, Robert N Hoover1, Dalsu Baris1, Brian Durie2,6.   

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.

Entities:  

Keywords:  Myeloma; case–spouse; epidemiology

Mesh:

Year:  2015        PMID: 26422532      PMCID: PMC6497084          DOI: 10.3109/10428194.2015.1094693

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  2 in total

1.  Childhood infectious diseases and risk of multiple myeloma: an analysis of the Italian multicentre case-control study.

Authors:  E Stagnaro; S Parodi; A Seniori Costantini; P Crosignani; L Miligi; O Nanni; S Piro; V Ramazzotti; S Rodella; R Tumino; C Vindigni; P Vineis
Journal:  Epidemiol Infect       Date:  2018-05-30       Impact factor: 4.434

2.  [Prevalence investigation of plasma cell leukemia in China: a calculation based on national urban medical insurance in 2016].

Authors:  L Xu; Y Liu; X F Lai; Y Bai; J N Feng; S Y Zhan; X J Huang; S F Wang; J Lu
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-12-14
  2 in total

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