TY - JOUR
T1 - Relationship between area-level socioeconomic status and health-related quality of life among cancer survivors
AU - Conley, Claire C.
AU - Derry-Vick, Heather M.
AU - Ahn, Jaeil
AU - Xia, Yi
AU - Lin, Li
AU - Graves, Kristi D.
AU - Pan, Wei
AU - Fall-Dickson, Jane M.
AU - Reeve, Bryce B.
AU - Potosky, Arnold L.
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85182376181&partnerID=8YFLogxK
U2 - 10.1093/jncics/pkad109
DO - 10.1093/jncics/pkad109
M3 - Article
C2 - 38128004
AN - SCOPUS:85182376181
SN - 2515-5091
VL - 8
JO - JNCI Cancer Spectrum
JF - JNCI Cancer Spectrum
IS - 1
M1 - pkad109
ER -