title: Intrinsic motivation factors based on the self-determinant theory for regular breast cancer screening.
abstract: The purpose of this study was to identify factors of intrinsic motivation that affect regular breast cancer screening and contribute to development of a program for strategies to improve effective breast cancer screening. Subjects were residing in South Korea Gangwon-Province and were female over 40 and under 69 years of age. For the investigation, the Intrinsic Motivation Inventory (IMI) was modified to the situation of cancer screening and was used to survey 905 inhabitants. Multinominal logistic regression analyses were conducted for regular breast cancer screening (RS), one-time breast cancer screening (OS) and non-breast cancer screening (NS). For statistical analysis, IBM SPSS 20.0 was utilized. The determinant factors between RS and NS were "perceived effort and choice" and "stress and strain" - internal motivations related to regular breast cancer screening. Also, determinant factors between RS and OS are "age" and "perceived effort and choice" for internal motivation related to cancer screening. To increase regular screening, strategies that address individual perceived effort and choice are recommended.
authors.affiliation: Department of Health Policy and Management, School of Medicine, Kangwon National University, Gangwon, South Korea E-mail : joheuisug@gmail.com.
authors.forename: Su Mi
authors.initials: SM
authors.lastname: Jung
authors.forename: Heui-Sug
authors.initials: HS
authors.lastname: Jo
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000523:psychology; D016504:Breast Self-Examination; D055088:Early Detection of Cancer / Q000523:psychology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008327:Mammography / Q000523:psychology / Q000706:statistics & numerical data*; D008875:Middle Aged; D009042:Motivation; D011582:Psychological Theory; D056910:Republic of Korea; D016217:Ultrasonography, Mammary / Q000523:psychology / Q000706:statistics & numerical data*