[Home ] [Archive]    
:: Main Archive Search Submit Manuscript Publication Ethics Contact ::
:: Volume 4, Issue 2 (4-2019) ::
CJHR 2019, 4(2): 38-43 Back to browse issues page
Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach
Behrooz Kavehie1, Tayebeh Fasihi Harandi2, Mitra Rahimzadeh 3
1- National Organization for Educational Testing (NOET), Tehran, Iran
2- Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran
3- Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran , rahimi_1351@yahoo.com
Abstract:   (380 Views)
 Background: Mammography is a valuable tool for early diagnosis of breast cancer in asymptomatic women. Considering the high prevalence of breast cancer in Iranian women and the low participation in mammography screening program, the purpose of this study was to investigate the factors affecting frequency of mammography screening in women over 40 years of age using zero-.
Methods: In this study, the required information about number of performing mammography in women’s’ lifetime, demographic characteristics and behavioral risk factors were obtained through interview based on a researcher-made questionnaire. To investigate the factors affecting mammography, zero inflation Poisson regression models were performed using Win Bugs software.
Results: The mean (SD) age of women participating in this study was 49.87 (6.76). 77% of the participants have never undergone mammography, 8.9% once, 6.9% twice, 6.7% three times, and 0.5% more than three times. Age had a positive effect on the number of mammograms in the women who have perform mammograms at least once. Having a family history of cancer and breast cancer, middle compared to low economic status, higher compared to low education and menopause were significantly associated with lower probability of never performing mammography.
Conclusion: Given the relatively low participation of women in mammography, more facilities are needed for high risk women (aged 40-70) to facilitate the diagnosis process.
Keywords: Mammography, Breast cancer, Zero-Inflated, Poisson Regression, Bayesian Approach
Full-Text [PDF 647 kb]   (79 Downloads)    
Article Type: Original Contributions | Subject: Epidemiology
Received: 2018/12/22 | Accepted: 2019/03/3 | Published: 2019/04/1
1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359-86. doi: 10.1002/ijc.29210. [DOI:10.1002/ijc.29210]
2. Adachi K, Kitamura T, Ueno T. Psychosocial factors affecting the use of mammography testing for breast cancer susceptibility: an eight-month follow-up study in a middle-aged Japanese woman sample. Open J Med Psychol. 2013;2(4):158-165. doi: 10.4236/ojmp.2013.24024. [DOI:10.4236/ojmp.2013.24024]
3. Enayatrad M, Amoori N, Salehiniya H. Epidemiology and trends in breast cancer mortality in iran. Iran J Public Health. 2015;44(3):430-431.
4. Harirchi I, Karbakhsh M, Kashefi A, Momtahen AJ. Breast cancer in Iran: results of a multi-center study. Asian Pac J Cancer Prev. 2004;5(1):24-7.
5. Sirous M, Ebrahimi A. The epidemiology of breast masses among women in Esfahan. Iran J Surg. 2008;16(3):51-56.
6. Montazeri A, Ebrahimi M, Mehrdad N, Ansari M, Sajadian A. Delayed presentation in breast cancer: a study in Iranian women. BMC Womens Health. 2003;3(1):4. doi: 10.1186/1472-6874-3-4. [DOI:10.1186/1472-6874-3-4]
7. Rahimzadeh M, Pourhoseingholi MA, Kavehie B. Survival rates for breast cancer in iranian patients: a meta-analysis. Asian Pac J Cancer Prev. 2016;17(4):2223-7. [DOI:10.7314/APJCP.2016.17.4.2223]
8. Angahar LT. An overview of breast cancer epidemiology, risk factor,pathophysiology and cancer risks reduction. MOJ Biol Med. 2017;1(4):92-96. doi: 10.15406/mojbm.2017.01.00019. [DOI:10.15406/mojbm.2017.01.00019]
9. Davis TC, Rademaker A, Bennett CL, Wolf MS, Carias E, Reynolds C, et al. Improving mammography screening among the medically underserved. J Gen Intern Med. 2014;29(4):628-635. doi: 10.1007/s11606-013-2743-3. [DOI:10.1007/s11606-013-2743-3]
10. Wübker A. Explaining variations in breast cancer screening across European countries. Eur J Health Econ. 2014;15(5):497-514. doi: 10.1007/s10198-013-0490-3. [DOI:10.1007/s10198-013-0490-3]
11. Blanchard K, Colbert JA, Puri D, Weissman J, Moy B, Kopans DB, et al. Mammographic screening: patterns of use and estimated impact on breast carcinoma survival. Cancer. 2004;101(3):495-507. doi: 10.1002/cncr.20392. [DOI:10.1002/cncr.20392]
12. Orwat J, Caputo N, Key W, de Sa J. Comparing rural and urban cervical and breast cancer screening rates in a privately insured population. Soc Work Public Health. 2017;32(5):311-323. doi: 10.1080/19371918.2017.1289872. [DOI:10.1080/19371918.2017.1289872]
13. Naghibi SA, Shojaizadeh D, Yazdani CJ, Montazeri A. Breast cancer preventive behaviors among Iranian women: a systematic review [in Persian]. Payesh. 2015;14(2):181-191.
14. Alexandraki I, Mooradian AD. Barriers related to mammography use for breast cancer screening among minority women. J Natl Med Assoc. 2010;102(3):206-218. doi: 10.1016/S0027-9684(15)30527-7. [DOI:10.1016/S0027-9684(15)30527-7]
15. Ozmen I, Famoye F. Count regression models with an application to zoological data containing structural zeros. Journal of Data Science. 2007;5(2007):491-502.
16. Birjandi M, Salehi-Marzijarani M, Ayatollahi SM, Rashidi H, A. H. Comparison of several count regression models on modeling DMFT dental index in dentistry [in Persian]. J Sabzevar Univ Med Sci. 2016;23(3):468-477. doi: 10.21859/sums-2303468. [DOI:10.21859/sums-2303468]
17. Mohammadi T, Kheiri S, Sedehi M. Analysis of blood transfusion data using bivariate zero-inflated poisson model: a bayesian approach. Computational and Mathematical Methods in Medicine. 2016; 2016: 7878325. doi: 10.1155/2016/7878325. [DOI:10.1155/2016/7878325]
18. Yusuf O, Bello T, Gureje O. Zero inflated poisson and zero inflated negative binomial models with application to number of falls in the elderly. Biostat Biometrics Open Acc J. 2017;1(4): 555566. doi: 10.19080/BBOAJ.2017.01.555566. [DOI:10.19080/BBOAJ.2017.01.555566]
19. Slymen DJ, Ayala GX, Arredondo EM, Elder JP. A demonstration of modeling count data with an application to physical activity. Epidemiol Perspect Innov. 2006;3:3. doi: 10.1186/1742-5573-3-3. [DOI:10.1186/1742-5573-3-3]
20. Farhadi Hassankiadeh R, Kazemnejad A, Gholami Fesharaki M, Kargar Jahromi S. Efficiency of zero-inflated generalized poisson regression model on hospital length of stay using real data and simulation study. Caspian JHealth Res. 2018;3(1):5-9. doi: 10.29252/cjhr.3.1.5. [DOI:10.29252/cjhr.3.1.5]
21. Phang YN, Loh EF. Zero inflated models for overdispersed count data. Int J Math Comput Nat Phys Eng. 2013;7(8): 1331-1333.
22. Lambert D. Zero-inated poisson regression, with an application to defects in man-ufacturing. Technometrics. 1992;34(1):1-14. doi: 10.2307/1269547. [DOI:10.2307/1269547]
23. Garay AM, Hashimoto EM, Ortega EM, Lachos VH. On estimation and influence diagnostics for zero-inflated negative binomial regression models. Comput Stat Data Anal 2011;55(3):1304-1318. doi: 10.1016/j.csda.2010.09.019. [DOI:10.1016/j.csda.2010.09.019]
24. Ghosh SK, Mukhopadhyay P, Lu JC. Bayesian analysis of zero-inflated regression models. J Stat Plan Inference. 2006;136(4):1360-1375. doi: 10.1016/j.jspi.2004.10.008. [DOI:10.1016/j.jspi.2004.10.008]
25. Spiegelhalter D, Thomas A, Best N, Lunn D. WinBUGS user manual. 2003.
26. Spiegelhalter DJ, Best NG, Carlin BP, van der Linde A. Bayesian measures of model complexity and fit. J R Statist Soc. 2002;64(4):1-34. doi: 10.1111/1467-9868.02022. [DOI:10.1111/1467-9868.02022]
27. Aminisani N, Fattahpour R, Dastgiri S, Asghari-Jafarabadi M, Allahverdipour H. Determinants of breast cancer screening uptake in Kurdish women of Iran. Health Promot Perspect. 2016;6(1):42-46. doi: 10.15171/hpp.2016.07. [DOI:10.15171/hpp.2016.07]
28. Heidari Z, Mahmoudzadeh-Sagheb HR, Sakhavar N. Breast cancer screening knowledge and practice among women in southeast of Iran. Acta Med Iran. 2008; 46(4):321-328.
29. Moodi M, Rezaeian M, Mostafavi F, Sharifirad GR. Determinants of mammography screening behavior in Iranian women: A population-based study. J J Res Med Sci. 2012;17(8):750-759.
30. Noroozi A, Tahmasebi R. Factors influencing breast cancer screening behavior among Iranian women. Asian Pac J Cancer Prev. 2011;12(5):1239-1244.
31. Lee K, Lim HT, Park SM. Factors associated with use of breast cancer screening services by women aged ≥ 40 years in Korea: The Third Korea National Health and Nutrition Examination Survey 2005 (KNHANES III). BMC Cancer 2010;10:144. doi: 10.1186/1471-2407-10-144. [DOI:10.1186/1471-2407-10-144]
32. Maral I, budakoğlu II, Özdemir A, Bumin MA. Factors affecting participation in population-based mammography screening. Trakya Univ Tip Fak Derg. 2010;27(2):122-126. doi: 10.5174/tutfd.2008.01139.1. [DOI:10.5174/tutfd.2008.01139.1]
33. Anakwenze CP, Coronado-Interis E, Aung M, Jolly PE. A theory-based intervention to improve breast cancer awareness and screening in Jamaica. Prev Sci. 2015;16(4):578-585. doi: 10.1007/s11121-014-0529-4. [DOI:10.1007/s11121-014-0529-4]
34. Ojewusi AA, Arulogun OS. Breast cancer knowledge and screening practices among female secondary schools teachers in an urban local government area, Ibadan, Nigeria. J Public Health ad Epidemiol. 2016;8(5):72-81. doi: 10.5897/JPHE2015.0781. [DOI:10.5897/JPHE2015.0781]
35. Parsa P, Kandiah M, Mohd Zulkefli NA, Rahman HA. Knowledge and behavior regarding breast cancer screening among female teachers in Selangor. Asian Pac J Cancer Prev. 2008;9(2):221-7.
36. Ramathuba DU, Ratshirumbi CT, Mashamba TM. Knowledge, attitudes and practices toward breast cancer screening in a rural South African community.Curationis. 2015;38(1):1-8. doi: 10.4102/curationis.v38i1.1172. [DOI:10.4102/curationis.v38i1.1172]
37. Secginli S, Nahcivan NO. Factors associated with breast cancer screening behaviours in a sample of Turkish women: a questionnaire survey. Int J Nurs Stud. 2006;43(2):161-71. doi: 10.1016/j.ijnurstu.2005.02.004. [DOI:10.1016/j.ijnurstu.2005.02.004]
38. Yu-Mei L, Hsueh-Hua Y. Demographic factors influencing consensus opinion on the recall for women screened by mobile mammography unit in Taiwan. Iran J Radiol. 2013;10(3):116-121. doi: 10.5812/iranjradiol.6952. [DOI:10.5812/iranjradiol.6952]
39. Sim HL, Seah M, Tan SM. Breast cancer knowledge and screening practices: a survey of 1,000 Asian women. Singapore Med J. 2009;50(2):132-138.
40. Donnelly TT, Al Khater AH, Al-Bader SB, Al Kuwari MG, Al-Meer N, Malik M, et al. Breast cancer screening among Arabic women living in the State of Qatar:Awareness, knowledge, and participation in screening activities. Avicenna.2012;2012:2-17. doi: 10.5339/avi.2012.2. [DOI:10.5339/avi.2012.2]
41. de Andrade Souza CI, Araújo DS, de Freitas Teles DA, de Carvalho SGL, Cavalcante KWM, Rabelo WL, et al. Factors related to non-adherence to mammography in a city of the Brazilian Amazonian area: A population-based study. Rev Assoc Med Bras. 2017;63(1):35-42. doi: 10.1590/1806-9282.63.01.35. [DOI:10.1590/1806-9282.63.01.35]
42. Ogunsiji OO, Kwok C, Fan LC. Breast cancer screening practices of African migrant women in Australia: a descriptive cross-sectional study. BMC Womens Health. 2017;17(1):32. doi: 10.1186/s12905-017-0384-0. [DOI:10.1186/s12905-017-0384-0]
43. Lee Lin F, Menon U, Pett M, Nail L, Lee S, Mooney K. Breast cancer beliefs and mammography screening practices among Chinese American immigrants. J Obstet Gynecol Neonatal Nurs. 2007;36(3):212-221. doi: 10.1111/j.1552-6909.2007.00141.x. [DOI:10.1111/j.1552-6909.2007.00141.x]
44. Eichholzer M, Richard A, Rohrmann S, Schmid SM, Leo C, Huang DJ, et al. Breast cancer screening attendance in two Swiss regions dominated by opportunistic or organized screening. BMC Health Serv Res. 2016; 16: 519. doi: 10.1186/s12913-016-1760-4. [DOI:10.1186/s12913-016-1760-4]
45. Abbaszadeh A, Haghdoost AA, Taebi M, Kohan S. The relationship between women's health beliefs and their participation in screening mammography. Asian Pac J Cancer Prev. 2007;8(4):471-475.
46. Davies P. Recommendations for the Implementation of Breast and Cervical Screening Programs in Albania. 2013. doi: 10.13140/RG.2.1.2837.8324.
47. Rutledge DN, Barsevick A, Knobf MT, Bookbinder M. Breast cancer detection: knowledge, attitudes, and behaviors of women from Pennsylvania. Oncol Nurs Forum. 2001;28(6):1032-1040.
48. Ziayifard Z, Abdolahi K, Zahedi R, Rahmanian S, Rahmanian K. A survey of the knowledge of the 20 year and older women on breast self-examination and mammography, southern Iran, 2009. J Jahrom Univ Med Sci. 2012;10(2):49-56. [DOI:10.29252/jmj.10.2.49]
49. Al-Wassia RK, Farsi NJ, Merdad LA, Hagi SK. Patterns, knowledge, and barriers of mammography use among women in Saudi Arabia. Saudi Med J. 2017;38(9):913-921. doi: 10.15537/smj.2017.9.20842. [DOI:10.15537/smj.2017.9.20842]
50. Ahmadian M, Samah AA, Redzuan M, Emby Z. Predictors of mammography screening among Iranian women attending outpatient clinics in Tehran, Iran. Asian Pac J Cancer Prev. 2012;13(3):969-974. doi: 10.7314/APJCP.2012.13.3.969. [DOI:10.7314/APJCP.2012.13.3.969]
51. Carney PA, Harwood BG, Weiss JE, Eliassen MS, Goodrich ME. Factors associated with interval adherence to mammography screening in a population-based sample of New Hampshire women. Cancer. 2002;95(2):219-227. doi: 10.1002/cncr.10681. [DOI:10.1002/cncr.10681]
Send email to the article author

Add your comments about this article
Your username or Email:


XML     Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Kavehie B, Fasihi Harandi T, Rahimzadeh M. Contributors of Mammography Screening with Zero-Inflated Count Regression Models by Bayesian Approach. CJHR. 2019; 4 (2) :38-43
URL: http://cjhr.gums.ac.ir/article-1-114-en.html

Volume 4, Issue 2 (4-2019) Back to browse issues page
Caspian Journal of Health Research
Creative Commons License
Persian site map - English site map - Created in 0.16 seconds with 32 queries by YEKTAWEB 4080