Objectives This study examined cancer knowledge, beliefs, and practice among faith-based Chinese in the USA versus Taiwan to gain better understandings on how environment and culture might play a role for tailored cancer education programs.
Methods A self-administered survey included a validated 10-item Cancer Screening Belief Scale (CSBS), an 8-item Cancer Screening Knowledge Test (CSKT), and a 14-item cancer Warning Signs Test (CWST) was administered. Participants were recruited from 9 Chinese churches (5 in the USA and 4 in Taiwan).
Results A total of 372 Chinese participated, 50% lived in the USA and 50% in Taiwan. Mean age was 44.31 (standard deviation, 14.74), 60% males, and majority had college education (85%). Taiwan participants scored higher on both CSKT (6.13 vs. 5.52; p<0.001) and CWST (6.80 vs. 5.38; p<0.001). Although perceived screening benefits and barriers were similar, Taiwan participants endorsed higher on screening norms (11.67 vs. 10.82; p<0.001). Taiwan participants also indicated more doctor recommending cancer screenings (42.1% vs. 29.6%; p=0.015), USA participants were more likely to have had annual health exams (65.4% vs. 48.9%; p=0.002). Regression results showed that those resided in the USA were 2.38 times more likely to report annual health exams. Married status (odds ratio [OR], 2.85), college education (OR, 2.38), doctor’s recommendation (OR, 2.87), no family cancer history (OR, 2.47), and those with lower barriers were significant factors on annual health exams.
Conclusions Taiwan participants scored higher on cancer knowledge and screening norms, while more USA participants reported annual health exams. Taiwan’s universal healthcare might play a role on the different healthcare seeking patterns.
OBJECTIVES To identify factors associated with cancer screening intention using the Theory of Planned Behavior (TPB). METHODS: Among 55,920 eligible persons for National Cancer Screening Program (NCSP) in J city, 1,100 individuals were contacted. Of these, 797 were interviewed using a structured questionnaire. Thirty-six responses were excluded due to incomplete data. The remaining 761 completed questionnaires were analyzed to find factors associated with cancer screening intention. RESULTS: Cancer screening intention was significantly associated with behavioral attitude (p<0.01) and subjective norm (p<0.01), but not with perceived behavioral control (p=0.29) in the TPB model. These three constructs explained 29.7% of cancer screening intention in multiple linear regression analysis. External factors such as socio-demographic status, health and health behavior variables explained 8.9% of screening intention. Among them, household monthly income, past cancer screening experience, exercise and daily eating habit were significantly associated with screening intention. CONCLUSIONS: Cancer screening intention may be influenced by focusing attitude, subjective norm in TPB model and other external factors. However, further studies are warranted to identify factors influencing cancer screening intention and behavior.
Summary
Citations
Citations to this article as recorded by
Clinical implications of young-onset pancreatic cancer patients after curative resection in Korea: a Korea Tumor Registry System Biliary Pancreas database analysis Hyung S. Kim, Ho-Seong Han, Woojin Kim, Changsoo Kim, Jin-Young Jang, Wooil Kwon, Jin S. Heo, Sang H. Shin, Ho K. Hwang, Joon S. Park HPB.2023; 25(1): 146. CrossRef
Structural Equation Modeling Analysis on Health Literacy and Cancer Prevention Behaviors among Medically-Underserved, Low-Income Populations Eun Jin Kim, Su Hyun Kim Journal of Korean Academy of Fundamentals of Nursing.2021; 28(1): 83. CrossRef
Factors Associated with Health Check-up and Cancer Screening Participation among Family Caregivers of Patients with Dementia: A Cross-Sectional Study Bomgyeol Kim, Yejin Lee, Jin-Won Noh, Tae Hyun Kim BMC Public Health.2021;[Epub] CrossRef
No Regrets When It Comes to Your Health: Anticipated Regret, Subjective Norms, Information Insufficiency and Intent to Seek Health Information from Multiple Sources Jisoo Ahn, Lee Ann Kahlor Health Communication.2020; 35(10): 1295. CrossRef
Factors Affecting Cancer Screening Behavior in the Elderly : Based on Andersen's Model and Health Belief Model Hee-Jung Kim, Mi-jin Yu The Korean Journal of Rehabilitation Nursing.2020; 23(1): 58. CrossRef
A Structural Equation Modeling of Prostate Cancer Screening Intention Ji Hye Jeong, Nam Hee Park Journal of Korean Academy of Community Health Nursing.2019; 30(4): 471. CrossRef
Factors related to cancer screening behaviors Boyoung Choi, Tae Rim Um, Kwang-Soo Lee Epidemiology and Health.2018; 40: e2018011. CrossRef
Developing the High-Risk Drinking Scorecard Model in Korea Jun-Tae Han, Il-Su Park, Suk-Bok Kang, Byeong-Gyu Seo Osong Public Health and Research Perspectives.2018; 9(5): 231. CrossRef
Extending the Theory of Planned Behavior to examine the role of anticipated negative emotions on channel intention: The case of an embarrassing product Juan Carlos Londono, Keri Davies, Jonathan Elms Journal of Retailing and Consumer Services.2017; 36: 8. CrossRef
Participation inequality in the National General Health Examination based on enterprise size Young Joong Kang, Jong Heun Park, Huisu Eom, Bohwa Choi, Seyoung Lee, Ji-Won Lee, Jun-Pyo Myong Annals of Occupational and Environmental Medicine.2017;[Epub] CrossRef
Perception about Age at the Start and End of Periodic Health Examinations: a Survey-based Study on University Hospital in Korea Sujeong Shin, Yun-Mi Song, Hyeonyoung Ko, Yoon-Ho Choi, Woo Yong Lee, Son Mi Chung, Sunyoung Park, Insub Kim, Jinyoung Shin Korean Journal of Health Promotion.2017; 17(3): 161. CrossRef
The Relationship between Cancer Screening Rates and Promotional Methods in Incheon Metropolitan City Jong Doo Kim Health Policy and Management.2016; 26(4): 382. CrossRef
Factors Influencing the of Middle-Aged Men the NCSP(National Cancer Screening Program) Geum-Ja Park, Kyoung-Min Lim, Sook-Nam Kim The Korean Journal of Health Service Management.2016; 10(3): 51. CrossRef
Development of Mono Layer Cell Adsorption Apparatus to Create a Slide for Microscopic Diagnosis H.Y. Oh, M.G. Mun, S.H. Kim, D.W. Kim, S.M. Kang, R.G. Sung, H.C. Kim Journal of Biomedical Engineering Research.2015; 36(1): 1. CrossRef
Health Screening among HBV Carriers in the Korean National Health and Nutrition Examination Survey V (KNHANES V) Hyung Eun Son, Sun Jae Jung, Aesun Shin Asian Pacific Journal of Cancer Prevention.2015; 16(9): 3653. CrossRef
Diabetes Mellitus and Site-specific Colorectal Cancer Risk in Korea: A Case-control Study Hyeongtaek Woo, Jeeyoo Lee, Jeonghee Lee, Ji Won Park, Sungchan Park, Jeongseon Kim, Jae Hwan Oh, Aesun Shin Journal of Preventive Medicine and Public Health.2015; 49(1): 45. CrossRef
Factors Influencing Cancer Rescreening Intention of Korean Elderly Hee-Jung Kim The Korean Journal of Rehabilitation Nursing.2015; 18(2): 118. CrossRef
Intending to Shop in Single versus Multi-Channels: A Theory of Planned Behaviour-Based Explanation Juan Carlos Londono SSRN Electronic Journal.2015;[Epub] CrossRef
Factors Influencing the Health Examination in Unmarried Women Ju Young Ha, Ji Hyang Youn, Yeong Suk Lee, Hyun Jung Lee Korean Journal of Women Health Nursing.2014; 20(1): 92. CrossRef
Health-Promotion and Disease-Prevention Behaviors of Primary-Care Practitioners Hwa-Yeon Seong, Eal-Whan Park, Yoo-Seock Cheong, Eun-Young Choi, Ki-Sung Kim, Sang-Wook Seo Korean Journal of Family Medicine.2014; 35(1): 19. CrossRef
Awareness of Pap testing and factors associated with intent to undergo Pap testing by level of sexual experience in unmarried university students in Korea: results from an online survey Hae Won Kim BMC Women's Health.2014;[Epub] CrossRef
What Factors Cause a Complete Examination of Infant Health Checkup? Seungjin Kang, Woojin Chung, Heejin Kim, Sunmi Lee Health Policy and Management.2014; 24(3): 261. CrossRef
Breast cancer screening rates-related factors Korea women ever considering area environmental characteristics: The fourth Korea National Health and Nutrition Examination Survey(KNHANES IV) Mi-Hwa Lee, Sang-Hyun Kim Journal of Digital Convergence.2014; 12(11): 437. CrossRef
Factors Affecting Cancer Screening Intention and Behavior of the Korean Elderly Hee-Jung Kim, Hyun-Woo Yim, Nam-Cho Kim Asian Pacific Journal of Cancer Prevention.2014; 15(19): 8461. CrossRef
The Relationship between Socioeconomic Status and Gastric Cancer Screening in the Population of a Metropolitan Area Hyun-Suk Oh, Sun A Kim, Sun-Seog Kweon, Jung-Ae Rhee, So-Yeon Ryu, Min-Ho Shin Journal of agricultural medicine and community health.2013; 38(3): 174. CrossRef
Regional Factors Associated with Participation in the National Health Screening Program: A Multilevel Analysis Using National Data Hyung-Kook Yang, Dong-Wook Shin, Seung-Sik Hwang, Juwhan Oh, Be-Long Cho Journal of Korean Medical Science.2013; 28(3): 348. CrossRef
Factors Associated with Cancer Screening Rates of Manufacturing Workers Su Ho Park, Chang Hee Kim, Eun Kyung Kim Korean Journal of Occupational Health Nursing.2013; 22(3): 179. CrossRef
Relationships between Knowledge about Early Detection, Cancer Risk Perception and Cancer Screening Tests in the General Public Aged 40 and Over Young Hee Yang Asian Oncology Nursing.2012; 12(1): 52. CrossRef
Attitudes et perception de contrôle des personnes âgées envers la prise de médicaments à action anxiolytique, sédative et hypnotique (ASH) Marilyn Guindon, Philippe Cappeliez Canadian Journal on Aging / La Revue canadienne du vieillissement.2011; 30(1): 113. CrossRef
Use Characteristics of Health Examinations Services from Health Insurance Subscribers Ryoung Choi, Byung-Deog Hwang The Journal of the Korea Contents Association.2011; 11(2): 331. CrossRef
OBJECTIVES This study describes trends in the socioeconomic disparities in breast cancer screening among US women aged 40 or over, from 2000 to 2005. We assessed 1) the disparities in each socioeconomic dimension; 2) the changes in screening mammography rates over time according to income, education, and race; and 3) the sizes and trends of the disparities over time. METHODS: Using data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2005, we calculated the age-adjusted screening rate according to relative household income, education level, health insurance, and race. Odds ratios and the relative inequality index (RII) were also calculated, controlling for age. RESULTS: Women in their 40s and those with lower relative incomes were less likely to undergo screening mammography. The disparity based on relative income was greater than that based on education or race (the RII among low-income women across the survey years was 3.00 to 3.48). The overall participation rate and absolute differences among socioeconomic groups changed little or decreased slightly across the survey years. However, the degree of each socioeconomic disparity and the relative inequality among socioeconomic positions remained quite consistent. CONCLUSIONS: These findings suggest that the trend of the disparity in breast cancer screening varied by socioeconomic dimension. ontinued differences in breast cancer screening rates related to income level should be considered in future efforts to decrease the disparities in breast cancer among socioeconomic groups. More focused interventions, as well as the monitoring of trends in cancer screening participation by income and education, are needed in different social settings.
Summary
Citations
Citations to this article as recorded by
Socioeconomic disparities in mammography screening in the United States from 2012 to 2020 Mariko Ando, Aki Yazawa, Ichiro Kawachi Social Science & Medicine.2024; 340: 116443. CrossRef
Effect of residence in nonmetropolitan counties on stage and tumor size at diagnosis in patients with breast cancer: A Surveillance, Epidemiology, and End Results analysis Jorge Benavides‐Vasquez, Chan Shen, Alicia McDonald, Li Wang The Journal of Rural Health.2023; 39(2): 408. CrossRef
Factors Associated With Breast Cancer Screening Behaviors Among Women With Dense Breasts Matthew M Miller, Ramapriya Ganti, Kathy Repich, James T Patrie, Roger T Anderson, Jennifer A Harvey Journal of Breast Imaging.2023;[Epub] CrossRef
Impact of COVID-19 and Socioeconomic Factors on Delays in High-Risk MRI Breast Cancer Screening Helena Teng, Wilfred Dang, Belinda Curpen Tomography.2022; 8(5): 2171. CrossRef
Patient Characteristics Associated With Patient-Reported Deterrents to Adjunct Breast Cancer Screening of Patients With Dense Breasts Matthew M. Miller, Kathy Repich, James T. Patrie, Roger T. Anderson, Jennifer A. Harvey American Journal of Roentgenology.2021; 217(5): 1069. CrossRef
Women’s Views on Multifactorial Breast Cancer Risk Assessment and Risk-Stratified Screening: A Population-Based Survey from Four Provinces in Canada Cynthia Mbuya Bienge, Nora Pashayan, Jennifer Brooks, Michel Dorval, Jocelyne Chiquette, Laurence Eloy, Annie Turgeon, Laurence Lambert-Côté, Jean-Sébastien Paquette, Emmanuelle Lévesque, Julie Hagan, Meghan Walker, Julie Lapointe, Gratien Dalpé, Palmira Journal of Personalized Medicine.2021; 11(2): 95. CrossRef
Impact of the COVID-19 pandemic on breast cancer screening volumes and patient screening behaviors Matthew M. Miller, Max O. Meneveau, Carrie M. Rochman, Anneke T. Schroen, Courtney M. Lattimore, Patricia A. Gaspard, Richard S. Cubbage, Shayna L. Showalter Breast Cancer Research and Treatment.2021; 189(1): 237. CrossRef
Negative impact of the COVID-19 state of emergency on breast cancer screening participation in Japan Yasuhiro Toyoda, Kota Katanoda, Kanako Ishii, Hitoshi Yamamoto, Takahiro Tabuchi Breast Cancer.2021; 28(6): 1340. CrossRef
Influencia de la vía diagnóstica en la clínica y el uso de terapias no convencionales en mujeres con cáncer de mama de la cohorte DAMA Isabel Torá-Rocamora, Jaume Grau, Blanca Oliver-Vall-llosera, Xavier Bargalló, Marta Aldea, Rosa Puigpinós-Riera Gaceta Sanitaria.2020; 34(2): 157. CrossRef
Socioeconomic disparity trends in diagnostic imaging, treatments, and survival for non‐small cell lung cancer 2007‐2016 Monica Shah, Ambica Parmar, Kelvin K. W. Chan Cancer Medicine.2020; 9(10): 3407. CrossRef
Financial Hardship, Healthcare Utilization, and Health Among U.S. Cancer Survivors Zhiyuan Zheng, Xuesong Han, Jingxuan Zhao, Matthew P. Banegas, Reginald Tucker-Seeley, Ashish Rai, Stacey A. Fedewa, Weishan Song, Ahmedin Jemal, K. Robin Yabroff American Journal of Preventive Medicine.2020; 59(1): 68. CrossRef
The breast cancer paradox: A systematic review of the association between area-level deprivation and breast cancer screening uptake in Europe Dinah Smith, Katie Thomson, Clare Bambra, Adam Todd Cancer Epidemiology.2019; 60: 77. CrossRef
Long-Term Impact of a Culturally Tailored Patient Navigation Program on Disparities in Breast Cancer Screening in Refugee Women After the Program's End Sebastian A. Rodriguez-Torres, Anne Marie McCarthy, Wei He, Jeffrey M. Ashburner, Sanja Percac-Lima Health Equity.2019; 3(1): 205. CrossRef
Prevalence of and factors associated with mammography and prostate-specific antigen screening among World Trade Center Health Registry enrollees, 2015–2016 Janette Yung, Jiehui Li, Hannah T. Jordan, James E. Cone Preventive Medicine Reports.2018; 11: 81. CrossRef
Socioeconomic Inequalities in Stomach Cancer Screening in Korea, 2005–2015: After the Introduction of the National Cancer Screening Program Eun-young Lee, Yoon Young Lee, Mina Suh, Eunji Choi, Tran Thi Xuan Mai, Hyunsoon Cho, Boyoung Park, Jae Kwan Jun, Yeol Kim, Jin Kyung Oh, Moran Ki, Kui Son Choi Yonsei Medical Journal.2018; 59(8): 923. CrossRef
Racial Disparities in Screening Mammography in the United States: A Systematic Review and Meta-analysis Ahmed T. Ahmed, Brian T. Welch, Waleed Brinjikji, Wigdan H. Farah, Tara L. Henrichsen, M. Hassan Murad, John M. Knudsen Journal of the American College of Radiology.2017; 14(2): 157. CrossRef
Baby Boomers and Birth Certificates: Early-Life Socioeconomic Status and Cancer Risk in Adulthood Antoinette M. Stroup, Kimberly A. Herget, Heidi A. Hanson, Diana Lane Reed, Jared T. Butler, Kevin A. Henry, C. Janna Harrell, Carol Sweeney, Ken R. Smith Cancer Epidemiology, Biomarkers & Prevention.2017; 26(1): 75. CrossRef
Disparities in the use of screening magnetic resonance imaging of the breast in community practice by race, ethnicity, and socioeconomic status Jennifer S. Haas, Deirdre A. Hill, Robert D. Wellman, Rebecca A. Hubbard, Christoph I. Lee, Karen J. Wernli, Natasha K. Stout, Anna N.A. Tosteson, Louise M. Henderson, Jennifer A. Alford‐Teaster, Tracy L. Onega Cancer.2016; 122(4): 611. CrossRef
A Community-Based Partnership to Successfully Implement and Maintain a Breast Health Navigation Program Bettina F. Drake, Shivon Tannan, Victoria V. Anwuri, Sherrill Jackson, Mark Sanford, Jennifer Tappenden, Melody S. Goodman, Graham A. Colditz Journal of Community Health.2015; 40(6): 1216. CrossRef
National Trends and Disparities in Mammography Among Commercially Insured Women, 2001-2010 J. Frank Wharam, Bruce E. Landon, Xin Xu, Fang Zhang, Dennis Ross-Degnan Journal of Public Health Management and Practice.2015; 21(5): 426. CrossRef
The impact of level of education on adherence to breast and cervical cancer screening: Evidence from a systematic review and meta-analysis Gianfranco Damiani, Danila Basso, Anna Acampora, Caterina B.N.A. Bianchi, Giulia Silvestrini, Emanuela M. Frisicale, Franco Sassi, Walter Ricciardi Preventive Medicine.2015; 81: 281. CrossRef
Predictors of Non-Adherence to Breast Cancer Screening among Hospitalized Women Waseem Khaliq, Ali Aamar, Scott M. Wright, Aamir Ahmad PLOS ONE.2015; 10(12): e0145492. CrossRef
Opportunities and Challenges for the Use of Large-Scale Surveys in Public Health Research: A Comparison of the Assessment of Cancer Screening Behaviors Jada G. Hamilton, Nancy Breen, Carrie N. Klabunde, Richard P. Moser, Bryan Leyva, Erica S. Breslau, Sarah C. Kobrin Cancer Epidemiology, Biomarkers & Prevention.2015; 24(1): 3. CrossRef
Association Between Individual and Geographic Factors and Nonadherence to Mammography Screening Guidelines Kevin A Henry, Kaila McDonald, Recinda Sherman, Anita Y Kinney, Antoinette M Stroup Journal of Women's Health.2014; 23(8): 664. CrossRef
Barriers to Cancer Screening among Medical Aid Program Recipients in the Republic of Korea: A Qualitative Study Yoon Young Lee, Jae Kwan Jun, Mina Suh, BoYoung Park, Yeol Kim, Kui Son Choi Asian Pacific Journal of Cancer Prevention.2014; 15(2): 589. CrossRef
Changes in access to screening mammography, 2008–2011 Elena B. Elkin, J. Paige Nobles, Laura C. Pinheiro, Coral L. Atoria, Deborah Schrag Cancer Causes & Control.2013; 24(5): 1057. CrossRef
Commercial Insurance Triples Chances of Breast Cancer Survival in a Public Hospital Runhua Shi, Glenn Mills, Jerry McLarty, Gary Burton, Zhenzhen Shi, Jonathan Glass The Breast Journal.2013; 19(6): 664. CrossRef
Breast cancer knowledge and practices among D/deaf women Barbara A. Berman, Angela Jo, William G. Cumberland, Heidi Booth, Jon Britt, Carolyn Stern, Philip Zazove, Gary Kaufman, Georgia Robins Sadler, Roshan Bastani Disability and Health Journal.2013; 6(4): 303. CrossRef
Do breast cancer risk factors differ among those who do and do not undertake mammography screening? Kerri R Beckmann, David M Roder, Janet E Hiller, Gelareh Farshid, John W Lynch Journal of Medical Screening.2013; 20(4): 208. CrossRef
Attending breast cancer screening alone does not explain the detection of tumours at an early stage Samiratou Ouédraogo, Tienhan Sandrine Dabakuyo, Julie Gentil, Marie-Laure Poillot, Vincent Dancourt, Patrick Arveux European Journal of Cancer Prevention.2013; 22(2): 103. CrossRef
Patient navigation for breast and colorectal cancer in 3 community hospital settings Elisabeth A. Donaldson, David R. Holtgrave, Renea A. Duffin, Frances Feltner, William Funderburk, Harold P. Freeman Cancer.2012; 118(19): 4851. CrossRef
Use of Annual Mammography Among Older Women with Ductal Carcinoma In Situ Phyllis Brawarsky, Bridget A. Neville, Garrett M. Fitzmaurice, Michael J. Hassett, Jennifer S. Haas Journal of General Internal Medicine.2012; 27(5): 500. CrossRef
Characteristics of women using organized or opportunistic breast cancer screening in France. Analysis of the 2006 French Health, Health Care and Insurance Survey N. Duport Revue d'Épidémiologie et de Santé Publique.2012; 60(6): 421. CrossRef
Cancer in Relation to Socioeconomic Status David R. Risser, Eric A. Miller Southern Medical Journal.2012; 105(10): 508. CrossRef
Using breast cancer quality indicators in a vulnerable population Formosa Chen, Melissa Puig, Irina Yermilov, Jennifer Malin, Eric C. Schneider, Arnold M. Epstein, Katherine L. Kahn, Patricia A. Ganz, Melinda Maggard Gibbons Cancer.2011; 117(15): 3311. CrossRef
Use of Evidence-Based Strategies to Promote Mammography Among Medically Underserved Women Rebecca Lobb, Kelly Morrison Opdyke, Cheryl J. McDonnell, Mary Grace Pagaduan, Marc Hurlbert, Kathryn Gates-Ferris, Banghee Chi, Jennifer D. Allen American Journal of Preventive Medicine.2011; 40(5): 561. CrossRef
Sociodemographic gradients in breast and cervical cancer screening in Korea: the Korean National Cancer Screening Survey (KNCSS) 2005-2009 Mi Jin Park, Eun-Cheol Park, Kui Son Choi, Jae Kwan Jun, Hoo-Yeon Lee BMC Cancer.2011;[Epub] CrossRef
Socioeconomic inequalities in attending the mass screening for breast cancer in the south of the Netherlands—associations with stage at diagnosis and survival M. J. Aarts, A. C. Voogd, L. E. M. Duijm, J. W. W. Coebergh, W. J. Louwman Breast Cancer Research and Treatment.2011; 128(2): 517. CrossRef
Impact of age-specific recommendation changes on organized breast screening programs Heather Bryant, Verna Mai Preventive Medicine.2011; 53(3): 141. CrossRef
Effectiveness of Mammography Screening in Reducing Breast Cancer Mortality in Women Aged 39–49 Years: A Meta-Analysis Maria C. Magnus, Ma Ping, Miao Miao Shen, John Bourgeois, Jeanette H. Magnus Journal of Women's Health.2011; 20(6): 845. CrossRef
Do Community Health Worker Interventions Improve Rates of Screening Mammography in the United States? A Systematic Review Kristen J. Wells, John S. Luque, Branko Miladinovic, Natalia Vargas, Yasmin Asvat, Richard G. Roetzheim, Ambuj Kumar Cancer Epidemiology, Biomarkers & Prevention.2011; 20(8): 1580. CrossRef
Trends of Mammography Use in a National Breast Cancer Screening Program, 2004-2008 Sun Mi Lim, Hoo-Yeon Lee, Kui Son Choi, Jae Kwan Jun, Eun-Cheol Park, Yeonju Kim, Mi Ah Han, Dong Kwan Oh, Jung Im Shim Cancer Research and Treatment.2010; 42(4): 199. CrossRef
Trends in Socioeconomic Disparities in Organized and Opportunistic Gastric Cancer Screening in Korea (2005-2009) Hoo-Yeon Lee, Eun-Cheol Park, Jae Kwan Jun, Myung-Il Hahm, Kyu-Won Jung, Yeonju Kim, Mi Ah Han, Kui Son Choi Cancer Epidemiology, Biomarkers & Prevention.2010; 19(8): 1919. CrossRef
Survival trends in children with hepatoblastoma John D. Horton, Sukhyung Lee, Shaun R. Brown, Julia Bader, Donald E. Meier Pediatric Surgery International.2009; 25(5): 407. CrossRef
BACKRGROUND: Cervix cancer is the most common form of cancer among Korea women. In spite of proof that cervical cancer screening could reduce death rates substantially, the screening rates reported by previous Korean studies remain stubbornly very low. Behavioral studies to increase the cervix cancer screening rate are essential in order to develop the cancer screening program. OBJECTIVE: To evaluate the factors which are related to the intention and behavior for cervix cancer screening using the Theory of Planned Behavior (TPB) and the Theory of Reasoned Action (TRA). METHODS: The survey was conducted from July 21st to 26th in 1998. Of 3,218 women, 393(12.2%) between 30 and 65 years old, voluntarily participated in the survey in the 3 Myeons in Choongju city. Charge-free cervix cancer screening was provided for the subjects 3 months later. RESULTS: The R-square of both TPB and TRA to the intention (30% and 42%, respectively) was greater than the actual behavior (21% and 13%, respectively. TPB and TRA were found to provide an appropriate framework for the study of cervix cancer screening behavior. However, TRA was more powerful in explaining the intention, not only because the perceived behavioral control component exhibited lower reliability and validity than other components(attitude and subjective norm), but also because there may have been a few limitations in this study design. Consequently, the use of TRA is preferred in attempting to explain intention and actual behavior in this study. CONCLUSIONS: This study suggests that a successful intervention program should focus on changing attitudes and reducing psychologic barriers, rather than on just providing information. Physician recommendations, and the support of family members and friends are also very important factors in cervix cancer program participation. Physicians, friends, family members, and opinion leaders in rural areas, all of whom could affect the individual subjective norm, may all have the potential to play great roles as facilitators.
OBJECTIVES To examine the screening rate of cervical cancer in women and to find out the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. METHODS: The data was based on self-reported questionnaires from 1,613 women whose ages ranged from 26 to 60 years; this survey was performed between December 1999 and January 2000. This study analyzed the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. A logistic regression analysis was performed in order to derive the significant variables from the predisposing factors (demographic factor, health promotion behavior, reproductive factor), intervention factors (information channel, relation with medical staff), and proximal factors (attitude, social influence, self-efficacy). All analyses were performed by the PC-SAS 6.12. RESULTS: Our analyses showed that the screening rate for the women who received a cervical cancer screening (Pap smear) more than once within their life-time was 56.1% while those who had received one within the last two years was 34.5%. The significant factors for participation in cervical cancer screening program within their life-time were their income, married age, health promotion score, relation with medical staffs, social influence, and self-efficacy. On the other hand, age, number of pregnancies, menarche age, relation with medical staffs, social influences, and self-efficacy were significant factors for those being screened within the last two years. The predictive power of the logit model within their life-time was 68.8% and that within the last two years was 66.6%. CONCLUSION: The predictive factors for participation in cervical cancer screening program within their life-time are different from those for within the last two years, and that women's relations with medical staffs and social influences were the critical factors impacting on cervical cancer screening rates.
OBJECTIVES Cancer is the second most frequent cause of death in Korea. Cancer screening tests can save lives through early detection. Enhancing the cancer screening rate is an important strategy for reducing cancer mortality. The purpose of our study was to evaluate the screening rate and related factors in a rural area. The study investigated relationships between sociodemographic characteristics, several preventive behaviors, and the experience of several cancer screening behaviors. MATERIALS AND METHODS: The study population was recruited voluntarily from the three rural areas(Myen) in Chungju city. The participants completed structured questionnaire from July 21, 1998 to July 26, 1998. RESULTS: The proportions of the study population who had previously received stomach, liver, breast, or cervix cancer screening tests were 24.5%, 18.5%, 27.0%, 59.2% respectively. The 1-year screening rates of stomach, liver, breast, and cervix cancer were 7.4%, 6.8%, 8.6%, 15.6% respectively. In multivariate logistic analysis, some sociodemographic variables, preventive behaviors, or psychological variables were significantly associated with several cancer screening tests. Those who had previously received a stomach cancer screening test were significantly associated with the presence of chronic disease, physician? recommendation, use of alcohol family history of cancer, or previous liver cancer screening test. Those who had previously received a liver cancer screening test were associated with education level, physician? recommendation and previous stomach cancer screening test. Those who had received a cervix cancer screening test were significantly associated with education level, presence of a transportation vehicle, physician? recommendation use of alcohol and previous breast cancer screening test. And those who had received a previous breast cancer screening test were significantly associated with age, marital status, and earlier cervix cancer screening test. CONCLUSION: Based on the results of this study a strategy to promote cancer screening and health objectives at the district level can be made.
OBJECTIVES To construct basic data to develop strategies for achieving higher Pap test coverage rate by evaluating factors associated with the use of Pap test through population-based survey. METHODS: 16.4%(671) of the 4,090 women, who were eligible population for this study, in 3 Myens of Chung-ju City participated in this study voluntarily from July 21 to 26, 1997. After basic physical examination by trained doctors, they were interviewed with structured questionnaire by well-educated interviewers. RESULTS: It shows that only 54.3% of study participants experienced Pap test. The strongest factor which is related with the use of Pap test was the history of having breast screening tests(aOR=8.71, 95% CI=4.25-17.84). Probability of ever having Pap test was also higher in married women(aOR of single=0.46, 95% CI=0.29-0.72), younger(Ptrend<0.05), more educated (Ptrend<0.001), non-smoker (aOR of smoker=0.26, 95% CI=0.12-0.55), women of ever having hepatitis test(aOR=2.60, 95% CI=1.73-3.88) in multiple linear logistic analysis. CONCLUSIONS: This study suggests that several factors significantly associated with the use of Pap test, and especially, high-risk population for cervical cancer such as women of older ages, less educated, living alone are less likely to have the Pap test. We should concentrate on encouraging high-risk women in the use of Pap test to improve Pap test coverage rate.
OBJECTIVES The goal of this study is to measure women's willingness to pay for cancer screening and to identify those factors associated with this willingness to pay METHODS: A population-based telephone survey was performed on 1,562 women (aged 30 years or over) for 2 weeks (9-23th, July, 2004). Data about sociodemographic characteristics, health behaviors, the intention of the cancer screenings and willingness to pay for cancer screening were collected. 1,400 respondents were included in the analysis. The women's willingness to pay for cancer screening and the factors associated with this willingness to pay were evaluated. RESULTS: The results show that 76% of all respondents have a willingness to pay for cancer screening. Among those who are willing to pay, the average and median amount of money for which the respondents are willing to pay are 126,636 (s.d.: 58,414) and 120,000 won, respectively. As the status of education & the income are higher, the average amount that women are willing to pay becomes much more. The amount of money women are willing to pay is the highest during the 'contemplation' stage. Being willing to pay or not is associated with a change of behavior (transtheoretical model), the income, the concern about the cancer risk, the family cancer history, the marital status, the general health exam, age and the place of residence. Income is associated with a greater willingness to pay. Old age was associated with a lower willingness to pay. CONCLUSIONS: According to the two-part model, income and TTM are the most important variables associated with the willingness to pay for cancer screening. The cancer screening participation rate is low compared with the willingness to pay for cancer screening. It is thought that we have to consider the participants' behavior that&s associated with cancer screening and their willingness to pay in order to organize and manage cancer screening program.
BACKGROUND Cancer is the leading cause of death and one of the largest burdens of disease in Korea. In 1996, the 'Ten year Plan for Cancer Control' was formulated and the government then adopted the plan as a national policy. As part of this plan, the National Cancer Screening Program (NCSP) for Medicaid recipients was formulated, and the government adapted this in 1999. For low-income beneficiaries of the National Health Insurance Corporation (NHIC), the screening program has been in place since 2002. In 2002, the target cancers of NCSP were stomach, breast and cervical cancer. This study was conducted to examine the relationships between the participation rate, the abnormal screening rate and the socio-demographic factors associated with participation in the screening program. METHODS: To analyze the participation rate and abnormal rate for the NCSP, we used the 2002 NCSP records. The information on the socio-demographic factors was available from the database of the beneficiaries in the NHIC and Medicaid. RESULTS: The participation rate of the Medicaid beneficiaries for the stomach, breast and cervical cancer screening were 9.2%, 15.5% and 15.0%, respectively, and 11.3% and 12.5%, except cervical cancer which wasn't be included in the NCSP, for the beneficiaries of the NHIC. The abnormal rate of stomach, breast and cervical cancer screening were 25.7%, 11.2% and 21.0%, respectively, for the beneficiaries of Medicaid and 42.6% and 19.4% for the beneficiaries of the NHIC. On the multiple logistic regression analysis, gender, age and place of residence were significantly associated with participation rates of the NCSP. For stomach cancer, women participated in the NCSP more than men. The participation rate was higher among people in their fifties and sixties than for those people in their forties and those people over seventy years in age. For the breast and cervical cancer, people in their fifties were more likely to participate in the NCSP than people in their forties and people over sixty. For the place of residence, people in the rural areas participated more than those people in any other places. CONCLUSIONS: The above results show that the participation rate and abnormal rate were significantly associated with the socio-demographic factors. To improve the participation rate for the NCSP, more attention should be given to the underserved groups.