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Related Experiment Video

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Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats
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Developing a community-based breast cancer risk prediction tool for resource-poor settings.

Divya Pillai1, Shaikh Shah Hossain2, Vijay Kumar Chattu3,4

  • 1Department of Clinical Portfolio Management, Clinical Development Services Agency, Translational Health Science and Technology Institute, Faridabad, Haryana, India.

Journal of Education and Health Promotion
|July 24, 2019
PubMed
Summary

A community survey developed a breast cancer risk prediction tool by assessing common risk factors. This tool indicates a moderate risk level for the surveyed population, aiding public health interventions.

Keywords:
BRCA1Gail Modelbreast cancercluster samplingrisk assessment toolrisk factorsscreening

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Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Breast cancer affects 1 in 28 women, with high mortality rates.
  • Identifying risk factors is crucial for effective public health interventions.

Purpose of the Study:

  • To develop a community-based breast cancer risk prediction tool.
  • To assess the prevalence of known breast cancer risk factors in the community.

Main Methods:

  • A cross-sectional community survey was conducted among 558 women aged 18-64.
  • Multistage random sampling and modified Likert scale analysis were employed.
  • Internal validity was assessed using Cronbach's alpha.

Main Results:

  • Prevalence of risk factors including age, menarche, marriage, childbirth, menopause, family history, and BMI was analyzed.
  • A community-based risk prediction tool was developed with medium internal validity (Cronbach's α).

Conclusions:

  • The developed tool effectively collates measurable community-level breast cancer risk factors.
  • The surveyed community exhibits a moderate risk for breast cancer.