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Relationship between area-level socioeconomic status and health-related quality of life among cancer survivors.
Conley, Claire C; Derry-Vick, Heather M; Ahn, Jaeil; Xia, Yi; Lin, Li; Graves, Kristi D; Pan, Wei; Fall-Dickson, Jane M; Reeve, Bryce B; Potosky, Arnold L.
Afiliação
  • Conley CC; Department of Oncology, Georgetown University, Washington, DC, USA.
  • Derry-Vick HM; Cancer Prevention Precision Control Institute, Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA.
  • Ahn J; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
  • Xia Y; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA.
  • Lin L; Center for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Graves KD; Department of Oncology, Georgetown University, Washington, DC, USA.
  • Pan W; Health Statistics and Data Science Core, Duke University School of Nursing, Durham, NC, USA.
  • Fall-Dickson JM; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Reeve BB; Georgetown University School of Nursing, Georgetown University Medical Center, Washington, DC, USA.
  • Potosky AL; Daniel K. Inouye Graduate School of Nursing, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
JNCI Cancer Spectr ; 8(1)2024 Jan 04.
Article em En | MEDLINE | ID: mdl-38128004
ABSTRACT
Area-level socioeconomic status (SES) impacts cancer outcomes, such as stage at diagnosis, treatments received, and mortality. However, less is known about the relationship between area-level SES and health-related quality of life (HRQOL) for cancer survivors. To assess the additive value of area-level SES data and the relative contribution of area- and individual-level SES for estimating cancer survivors' HRQOL, we conducted a secondary analysis of data from a population-based survey study of cancer survivors (the Measuring Your Health [MY-Health] Study). Multilevel multinomial logistic regression models were used to examine the relationships between individual-level SES, area-level SES as measured by the Centers for Disease Control and Prevention's Social Vulnerability Index, and HRQOL group membership (high, average, low, or very low HRQOL). Area-level SES did not significantly increase model estimation accuracy compared to models using only individual-level SES. However, area-level SES could be an appropriate proxy when the individual-level SES is missing.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sobreviventes de Câncer / Neoplasias Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: JNCI Cancer Spectr Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sobreviventes de Câncer / Neoplasias Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: JNCI Cancer Spectr Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
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