Abstract

To determine any relationship of diet with breast cancer risk. The case-control study was conducted at Aga Khan University Hospital and the Karachi Institute of Radiation and Nuclear Medicine, Karachi, from February 2015 to July 2017, and comprised of cases with a confirmed diagnosis of breast cancer and healthy controls. Data was collected using the Alternate Healthy Eating Index 2010, which was modified according to the particular cultural patterns of diet in the Pakistani population. Data was analysed using SPSS 21. Of the 1124 subjects, 374(33.3%) were breast cancer cases and 750(66.7%) were controls. High intake of grains, both whole and refined including white rice, was associated with breast cancer (odds ratio: 2.53; 95% confidence interval: 1.69-3.79; p<0.001). There was no association of breast cancer with Alternate Healthy Eating Index 2010 score (odds ratio: 1.85; 95% confidence interval: 0.61-1.17; p=0.291). There was found a need for awareness of a healthy diet based on more of whole grains and brown rice replacement with refined grains and white rice, respectively. Limiting refined carbohydrate intake might be a useful public health message and may reduce breast cancer incidence in the long term.

Highlights

  • Breast cancer remains the world’s most prevalent cancer and 5-year survival in high-income countries (HICs) is >90%, it is as low as 66% in India and 40% in SouthAfrica [1, 2]

  • Of the 1124 subjects, 374(33.3%) were cases and 750(66.7%) were controls. Both whole and refined including white rice, was associated with breast cancer

  • There was no association of breast cancer with Alternate Healthy Eating Index 2010 score

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Summary

Methods

The case-control study was conducted at Aga Khan University Hospital and the Karachi Institute of Radiation and Nuclear Medicine, Karachi, from February 2015 to July 2017, and comprised cases with a confirmed diagnosis of breast cancer and controls. Data was collected using the Alternate Healthy Eating Index 2010, which was modified according to the particular cultural patterns of diet in the Pakistani population. Data was analysed using SPSS 21.

Results
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Materials and Methods
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