Socioeconomic Status and Childhood Cancer Incidence: A Population-Based Multilevel Analysis

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


The etiology of childhood cancers remains largely unknown, especially regarding environmental and behavioral risk factors. Unpacking the association between socioeconomic status (SES) and incidence may offer insight into such etiology. We tested associations between SES and childhood cancer incidence in a population-based case-cohort study (source cohort: Minnesota birth registry, 1989-2014). Cases, ages 0-14 years, were linked from the Minnesota Cancer Surveillance System to birth records through probabilistic record linkage. Controls were 4:1 frequency matched on birth year (2,947 cases and 11,907 controls). We tested associations of individual-level (maternal education) and neighborhood-level (census tract composite index) SES using logistic mixed models. In crude models, maternal education was positively associated with incidence of acute lymphoblastic leukemia (odds ratio (OR) = 1.10, 95% confidence interval (CI): 1.02, 1.19), central nervous system tumors (OR = 1.12, 95% CI: 1.04, 1.21), and neuroblastoma (OR = 1.15, 95% CI: 1.02, 1.30). Adjustment for established risk factors-including race/ethnicity, maternal age, and birth weight-substantially attenuated these positive associations. Similar patterns were observed for neighborhood-level SES. Conversely, higher maternal education was inversely associated with hepatoblastoma incidence (adjusted OR = 0.70, 95% CI: 0.51, 0.98). Overall, beyond the social patterning of established demographic and pregnancy-related exposures, SES is not strongly associated with childhood cancer incidence.

Original languageEnglish (US)
Pages (from-to)982-991
Number of pages10
JournalAmerican journal of epidemiology
Issue number5
StatePublished - May 1 2018

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).


  • childhood cancer incidence
  • multilevel methods
  • socioeconomic status


Dive into the research topics of 'Socioeconomic Status and Childhood Cancer Incidence: A Population-Based Multilevel Analysis'. Together they form a unique fingerprint.

Cite this