TY - JOUR
T1 - Patterns of cancer-related health behaviors among middle-aged and older adults
T2 - Individual- and area-level socioeconomic disparities
AU - Moss, Jennifer L.
AU - Xiao, Qian
AU - Matthews, Charles E.
N1 - Funding Information:
This research was supported (in part) by the Intramural Research Program of the NIH, National Cancer Institute . Cancer incidence data from the Atlanta metropolitan area were collected by the Georgia Center for Cancer Statistics, Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia. Cancer incidence data from California were collected by the California Cancer Registry, California Department of Public Health's Cancer Surveillance and Research Branch, Sacramento, California. Cancer incidence data from the Detroit metropolitan area were collected by the Michigan Cancer Surveillance Program, Community Health Administration, Lansing, Michigan. The Florida cancer incidence data used in this report were collected by the Florida Cancer Data System (Miami, Florida) under contract with the Florida Department of Health, Tallahassee, Florida. The views expressed herein are solely those of the authors and do not necessarily reflect those of the FCDC or FDOH. Cancer incidence data from Louisiana were collected by the Louisiana Tumor Registry, Louisiana State University Health Sciences Center School of Public Health, New Orleans, Louisiana. Cancer incidence data from New Jersey were collected by the New Jersey State Cancer Registry, The Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey. Cancer incidence data from North Carolina were collected by the North Carolina Central Cancer Registry, Raleigh, North Carolina. Cancer incidence data from Pennsylvania were supplied by the Division of Health Statistics and Research, Pennsylvania Department of Health, Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions. Cancer incidence data from Arizona were collected by the Arizona Cancer Registry, Division of Public Health Services, Arizona Department of Health Services, Phoenix, Arizona. Cancer incidence data from Texas were collected by the Texas Cancer Registry, Cancer Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas. Cancer incidence data from Nevada were collected by the Nevada Central Cancer Registry, Division of Public and Behavioral Health, State of Nevada Department of Health and Human Services, Carson City, Nevada.
Publisher Copyright:
© 2018
PY - 2018/10
Y1 - 2018/10
N2 - Multiple health behaviors could have greater impact on chronic diseases than single behaviors, but correlates of behavioral clusters are relatively understudied. Using data from NIH-AARP Diet and Health Study (initiated in 1995) for 324,522 participants from the U.S. (age 50–71), we conducted exploratory factor analysis to identify clusters of adherence to eight cancer prevention behaviors. Poisson regressions examined associations between cluster scores and neighborhood socioeconomic deprivation, measured with census block group (1) poverty and (2) low education. Four clusters emerged: Movement (adequate physical activity/less TV); Abstinence (never smoked/less alcohol); Weight control (healthy body mass index/high fruits and vegetables); and Other (adequate sleep/receiving cancer screenings). Scores on all clusters were lower for participants in neighborhoods with the highest poverty (most deprived quintile versus least deprived: relative risk [RR] = 0.95 (95% confidence interval [CI] = 0.94–0.96) for Movement, 0.98 (95% CI = 0.97–0.99) for Abstinence, 0.94 (95% CI = 0.92–0.95) for Weight control, and 0.94 (95% CI = 0.93–0.95) for Other; all p < 0.001). Scores on three clusters were lower for participants in neighborhoods with the lowest education (RR = 0.88 (95% CI = 0.87–0.89) for Movement, 0.89 (95% CI = 0.88–0.90) for Weight control, and 0.90 (95% CI = 0.89–0.91) for Other; all p <.001). Health behaviors among older adults demonstrated four clusters. Neighborhood deprivation was associated with lower scores on clusters, suggesting that interventions to reduce concentrated deprivation may be an efficient approach for improving multiple behaviors simultaneously.
AB - Multiple health behaviors could have greater impact on chronic diseases than single behaviors, but correlates of behavioral clusters are relatively understudied. Using data from NIH-AARP Diet and Health Study (initiated in 1995) for 324,522 participants from the U.S. (age 50–71), we conducted exploratory factor analysis to identify clusters of adherence to eight cancer prevention behaviors. Poisson regressions examined associations between cluster scores and neighborhood socioeconomic deprivation, measured with census block group (1) poverty and (2) low education. Four clusters emerged: Movement (adequate physical activity/less TV); Abstinence (never smoked/less alcohol); Weight control (healthy body mass index/high fruits and vegetables); and Other (adequate sleep/receiving cancer screenings). Scores on all clusters were lower for participants in neighborhoods with the highest poverty (most deprived quintile versus least deprived: relative risk [RR] = 0.95 (95% confidence interval [CI] = 0.94–0.96) for Movement, 0.98 (95% CI = 0.97–0.99) for Abstinence, 0.94 (95% CI = 0.92–0.95) for Weight control, and 0.94 (95% CI = 0.93–0.95) for Other; all p < 0.001). Scores on three clusters were lower for participants in neighborhoods with the lowest education (RR = 0.88 (95% CI = 0.87–0.89) for Movement, 0.89 (95% CI = 0.88–0.90) for Weight control, and 0.90 (95% CI = 0.89–0.91) for Other; all p <.001). Health behaviors among older adults demonstrated four clusters. Neighborhood deprivation was associated with lower scores on clusters, suggesting that interventions to reduce concentrated deprivation may be an efficient approach for improving multiple behaviors simultaneously.
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U2 - 10.1016/j.ypmed.2018.08.003
DO - 10.1016/j.ypmed.2018.08.003
M3 - Article
C2 - 30081135
AN - SCOPUS:85051247337
SN - 0091-7435
VL - 115
SP - 31
EP - 38
JO - Preventive Medicine
JF - Preventive Medicine
ER -