Developing a community‑based breast cancer risk prediction tool for resource‑poor settings

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dc.contributor.authorPillai, Divya
dc.contributor.authorShah Hossain, Shaikh
dc.contributor.authorChattu, Vijay Kumar
dc.date.accessioned2021-09-21T18:12:27Z
dc.date.available2021-09-21T18:12:27Z
dc.date.issued2019
dc.description.abstractBACKGROUND: With an estimation of every two women newly diagnosed with breast cancer, one dies. It is accounted that 1 in 28 women is likely to develop breast cancer during her lifetime. Developing a risk prediction tool by assessing the prevalence of known risk factors in the community will help public health intervention. METHODOLOGY: A cross‑sectional study was conducted among 18–64‑year‑old women to gather the prevalence of known breast cancer risk factors, through a community survey (sample survey). In this multistage random number‑based cluster sampling study, the results were compiled, collated, and analyzed in rates and proportions. Statistical conclusions were made using spreadsheets (Microsoft) and the values were converted into ordinal values using modified Likert scale and median was used to estimate central values. The estimated prevalence of these known risk factors was re‑assorted for analysis and these re‑assorted data were categorized into range of values across the communities. The internal validity of the survey questionnaire was measured using Cronbach’s alpha (α). RESULTS: The analysis of 558 participants was performed for the known risk factors for breast cancer including participant’s age, age at menarche, marriage, first childbirth, menopause, family history of breast cancer and benign breast disease, history of abortion, and body mass index. Based on the estimated prevalence of these risk factors, a community‑based risk prediction tool was developed with Cronbach’s α score of medium internal validity. CONCLUSIONS: The risk assessment tool has collated most of the risk factors of breast cancer that are capable of being measured at community level. The survey findings concluded that the community under survey was bearing moderate risk for breast cancer for womenen_US
dc.identifier.citationPillai D, Hossain SS, Chattu VK. Developing a community-based breast cancer risk prediction tool for resource-poor settings. J Edu Health Promot 2019;8:106.en_US
dc.identifier.issn2277-9531
dc.identifier.urihttps://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=106;epage=106;aulast=Pillai
dc.identifier.urihttps://hdl.handle.net/2139/49739
dc.language.isoenen_US
dc.publisherJournal of Education and Health Promotionen_US
dc.relation.ispartofseries;Volume 8 Issue 1
dc.subjectBRCA1en_US
dc.subjectBreast canceren_US
dc.subjectCluster samplingen_US
dc.subjectGail Modelen_US
dc.subjectRisk assessment toolen_US
dc.subjectRisk factorsen_US
dc.subjectScreeningen_US
dc.titleDeveloping a community‑based breast cancer risk prediction tool for resource‑poor settingsen_US
dc.typeArticleen_US

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