Background: Socioeconomic status (SES) is presented as a complex structure and has not been studied adequately among adult patients with glioma. This study aims to identify the intrinsic linkages of community-level SES multivariables and discover the effects of the various patterns of these indicators on prognosis of adult gliomas.
Methods: Based on data from the SEER (Surveillance Epidemiology and End Results) database, 44,816 adults diagnosed with gliomas from 2007 to 2016 were enrolled for the research. We first used factor analysis and cluster analysis to process SES data. Then, univariable and multivariable Cox proportional hazards models were used to analyze the risk indicators.
Results: Four integrated SES factors were identified: factor 1, economic and social disadvantage (economic and education disadvantage); factor 2, immigration-associated characteristics (foreign-born, language isolation, less household room, recent interstate residential stability); factor 3, housing instability; and factor 4, absence of intrastate mobility. Factor 1 was a risk indicator for survival, whereas factor 2 and factor 4 were protective indicators. All patients fell into 7 cluster groups. Compared with cluster 1, clusters 2, 3, 4, and 7 had a better prognosis, whereas cluster 6 had a shorter survival.
Conclusions: The combinatorial patterns of SES indicators and pattern-based groups do influence the outcomes of adult gliomas. Special attention is given to patients living in areas with specialized economic-educational disadvantages, relocation instability, and immigration-related characteristics.
Keywords: Glioma; Mortality; Socioeconomic status.
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