Are driver's licenses issued within 3 years of cancer diagnosis a valid source of BMI data?

Purpose: Overweight and obesity are risk factors for several cancers; however, population-based cancer registries do not routinely collect data on body mass index (BMI). This study evaluated the utility of supplementing cancer registry data with BMI data derived from driver's license records.Methods...

Descripción completa

Detalles Bibliográficos
Publicado en:Cancer Causes & Control Vol. 31; no. 8; pp. 777 - 787
Autores principales: Brumm, Michael C., West, Michele M., Lynch, Charles F., Smith, Brian J.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Aug2020
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144220169&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 144220169
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09575243
        ODX
      jtl: Cancer Causes & Control
      issn: 09575243
      maglogo: N
    pubinfo:
      dt: Aug2020
      vid: 31
      iid: 8
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        144220169
        144034009
        144220169
        NLM32506334
        144220169
        10.1007/s10552-020-01318-9
        NLM32506334
        144220169
      ppf: 777
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Are driver's licenses issued within 3 years of cancer diagnosis a valid source of BMI data?
      aug:
        au:
          Brumm, Michael C.
          West, Michele M.
          Lynch, Charles F.
          Smith, Brian J.
        affil: Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, USA
      sug:
        subj:
          Automobile Driving
          Body Mass Index
          Neoplasms Diagnosis
          Licensure
          Male
          Female
          Data Collection
          Aged, 80 and Over
          Adult
          Obesity Complications
          Iowa
          Young Adult
          Aged
          Middle Age
          Reproducibility of Results
          Self Report
          Funding Source
          Human
          Aged, 80 & over
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Purpose: Overweight and obesity are risk factors for several cancers; however, population-based cancer registries do not routinely collect data on body mass index (BMI). This study evaluated the utility of supplementing cancer registry data with BMI data derived from driver's license records.Methods: We linked self-reported height and weight data from driver's license records to directly measured values, obtained via medical record abstraction, in a sample of 712 adult Iowa residents with cancer diagnosed during 2007-2012. Matched BMI values were subjected to a comprehensive evaluation of quantitative and categorical measures of agreement between data sources.Results: Driver's license issue dates preceded diagnosis dates in 60.7% of cases, with time lags ranging from 3.0 years pre-diagnosis to 2.9 years post-diagnosis. Statistical analysis of agreement between continuous BMI values and ordinal BMI categories yielded an overall intraclass correlation estimate of 0.79 (95% confidence interval [CI] 0.77, 0.82) and an overall weighted kappa estimate of 0.63 (95% CI 0.59, 0.68), respectively. Subgroup analyses indicated reduced reliability among obesity-related cancers, particularly multiple myeloma, ovarian cancer, and pancreatic cancer. Neither measurement order nor time lag significantly affected agreement between BMI values.Conclusions: These findings suggest that self-reported driver's license data provide a reasonable approximation of BMI, but are less precise than interview- and questionnaire-based methods. Furthermore, the degree of bias is seemingly unaffected by measurement order and time lag, but appears to become more pronounced as BMI itself increases.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N