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Journal of Applied Sciences
  Year: 2016 | Volume: 16 | Issue: 11 | Page No.: 496-503
DOI: 10.3923/jas.2016.496.503
 
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Exploring Age Distribution Pattern of Female Breast Cancer Patients in Assam, India Using Gamma Probability Distribution Model

N. Rajbongshi, D.C. Nath and L.B. Mahanta

Abstract:
Background and Objective: Worldwide, breast cancer is by far the most frequent cancer among women causing numerous deaths every year. Hence, it is important to study every aspect of this disease to tackle it. Monitoring age distribution pattern of breast cancer occurrence is important for guidance to a cancer epidemiologist as well as for effective planning of breast cancer control. Present study is an attempt to fit the age distribution pattern into a probability distribution model so that it can provide a probability curve of the number of observations occurring in each age group. Materials and Methods: A descriptive study is also carried out including basic demographic information such as place of residence, marital status, occupation and number of children of the female breast cancer patients. Retrospective data available during 2010-2012 at Dr. B. Borooah Cancer Institute, Assam, India were included in the study. Data were extracted from 1153 clinically diagnosed cases of that period. The goodness-of-fit is checked using the chi-square goodness-of-fit test. Also, independent sample t-test is used to compare the mean age in both rural and urban group of the patient. Results: Most of the breast cancer patient (18.6%) belongs to the 38-43 age groups, married women (94 %) and from rural area (66.2%). Maximum patients (63.8%) have children less than 2. It is observed that gamma probability distribution model is well fitted to the age distribution data of the patients (Cal χ2 = 15.8899 and p-value = 0.2271). Mean age difference has been observed in both group of residence at 10% level of significance (p-value = 0.061). Conclusion: Patients from rural area may ignore initial symptoms of the disease due to lack of awareness and their financial problem and ultimately when they came to consult with doctor it already turns into malignant tumour. Lack of awareness and income level may be a responsible factor for this outcome. The most affected age group in this study is slightly lower as compared with other studies. Using the gamma probability model, it is possible to predict the probability of occurrence of breast cancer of a women belonging to a particular age in North-East India.
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How to cite this article:

N. Rajbongshi, D.C. Nath and L.B. Mahanta, 2016. Exploring Age Distribution Pattern of Female Breast Cancer Patients in Assam, India Using Gamma Probability Distribution Model. Journal of Applied Sciences, 16: 496-503.

DOI: 10.3923/jas.2016.496.503

URL: https://scialert.net/abstract/?doi=jas.2016.496.503

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