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Direct linkOdedina, Folakemi T.; Scrivens, John J., Jr.; Larose-Pierre, Margareth; Emanuel, Frank; Adams, Angela Denise; Dagne, Getachew A.; Pressey, Shannon Alexis; Odedina, Oladapo – American Journal of Health Behavior, 2011
Objective: To explore the personal factors related to modifiable prostate cancer risk-reduction and detection behaviors among black men. Methods: Three thousand four hundred thirty (3430) black men were surveyed and structural equation modeling employed to test study hypotheses. Results: Modifiable prostate cancer risk-reduction behavior was found…
Descriptors: Cues, Structural Equation Models, Cancer, Identification
Roncancio, Angelica M.; Ward, Kristy K.; Sanchez, Ingrid A.; Cano, Miguel A.; Byrd, Theresa L.; Vernon, Sally W.; Fernandez-Esquer, Maria Eugenia; Fernandez, Maria E. – Health Education & Behavior, 2015
To reduce the high incidence of cervical cancer among Latinas in the United States it is important to understand factors that predict screening behavior. The aim of this study was to test the utility of theory of planned behavior in predicting cervical cancer screening among a group of Latinas. A sample of Latinas (N = 614) completed a baseline…
Descriptors: Cancer, Screening Tests, Incidence, Hispanic Americans
Botoseneanu, Anda; Alexander, Jeffrey A.; Banaszak-Holl, Jane – Health Education & Behavior, 2011
Genetic testing can advance cancer prevention if current screening behaviors improve. Increased prevalence of high-risk genotypes within specific religious groups, use of religious venues for recruiting to genetic screening, and ethical-religious considerations argue for exploring the role of religiosity in forming genetic testing decisions. This…
Descriptors: Religious Cultural Groups, Structural Equation Models, Negative Attitudes, Testing
Schnoll, Robert A.; Fang, Carolyn Y.; Manne, Sharon L. – Structural Equation Modeling, 2004
The past decade has seen a tremendous growth in the use of structural equation modeling (SEM) to address research questions in 2 subfields of behavioral science: cancer prevention and control (e.g., determinants of cancer screening adherence) and behavioral oncology (e.g., determinants of psychosocial adjustment among cancer patients or…
Descriptors: Prevention, Test Construction, Structural Equation Models, Quality of Life
