BACKGROUND: The aim of the study was to identify demographic and socioeconomic characteristics of participants and non-participants in a Swedish population-based case-control study on brain tumours and to analyse the association between socioeconomic factors and glioma and meningioma risk. METHODS: Record linkage was made to an official register to gather information on socioeconomic status, income, education and demography for all participating and non-participating cases and controls. RESULTS: 494 glioma cases, 321 meningioma cases and 955 controls were eligible and 74%, 85% and 70%, respectively, participated. Working status and income level were positively associated with participation among cases and controls. Among both cases and controls, being married, and having a high education were also associated with participation. Having a family income level in the highest quartile was associated with an increased glioma risk (OR 1.5, 95% CI 1.1 to 2.1). This risk increase diminished when only participating individuals were included in the analysis. Socioeconomic factors were not associated with meningioma risk. CONCLUSIONS: Non-participation, related to socioeconomic factors, is a potential source of bias in case-control studies that should be acknowledged; however, the effect was not large in the present study due to the fact that the level of participation was comparable between cases and controls and participation was similarly influenced by socioeconomic factors among cases and controls. The association between a high income level and an increased glioma risk and possible underlying factors needs to be explored further.
BACKGROUND: The aim of the study was to identify demographic and socioeconomic characteristics of participants and non-participants in a Swedish population-based case-control study on brain tumours and to analyse the association between socioeconomic factors and glioma and meningioma risk. METHODS: Record linkage was made to an official register to gather information on socioeconomic status, income, education and demography for all participating and non-participating cases and controls. RESULTS: 494 glioma cases, 321 meningioma cases and 955 controls were eligible and 74%, 85% and 70%, respectively, participated. Working status and income level were positively associated with participation among cases and controls. Among both cases and controls, being married, and having a high education were also associated with participation. Having a family income level in the highest quartile was associated with an increased glioma risk (OR 1.5, 95% CI 1.1 to 2.1). This risk increase diminished when only participating individuals were included in the analysis. Socioeconomic factors were not associated with meningioma risk. CONCLUSIONS: Non-participation, related to socioeconomic factors, is a potential source of bias in case-control studies that should be acknowledged; however, the effect was not large in the present study due to the fact that the level of participation was comparable between cases and controls and participation was similarly influenced by socioeconomic factors among cases and controls. The association between a high income level and an increased glioma risk and possible underlying factors needs to be explored further.
Authors: David J Cote; Quinn T Ostrom; Haley Gittleman; Kelsey R Duncan; Travis S CreveCoeur; Carol Kruchko; Timothy R Smith; Meir J Stampfer; Jill S Barnholtz-Sloan Journal: Cancer Date: 2019-06-17 Impact factor: 6.860
Authors: Quinn T Ostrom; Maral Adel Fahmideh; David J Cote; Ivo S Muskens; Jeremy M Schraw; Michael E Scheurer; Melissa L Bondy Journal: Neuro Oncol Date: 2019-11-04 Impact factor: 12.300
Authors: Roger L Milne; Esther M John; Julia A Knight; Gillian S Dite; Melissa C Southey; Graham G Giles; Carmel Apicella; Dee W West; Irene L Andrulis; Alice S Whittemore; John L Hopper Journal: Int J Epidemiol Date: 2011-07-19 Impact factor: 7.196
Authors: Michelle C Turner; Geza Benke; Joseph D Bowman; Jordi Figuerola; Sarah Fleming; Martine Hours; Laurel Kincl; Daniel Krewski; Dave McLean; Marie-Elise Parent; Lesley Richardson; Siegal Sadetzki; Klaus Schlaefer; Brigitte Schlehofer; Joachim Schüz; Jack Siemiatycki; Martie van Tongeren; Elisabeth Cardis Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-06-16 Impact factor: 4.254
Authors: Igor Fischer; Hendrik-Jan Mijderwijk; Ulf D Kahlert; Marion Rapp; Michael Sabel; Daniel Hänggi; Hans-Jakob Steiger; Marie-Therese Forster; Marcel A Kamp Journal: Neurooncol Pract Date: 2020-06-06