The predictive role of the total potassium intake and odds of breast cancer: a case-control study
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUNDS: Dietary potassium can play an important role in decreasing inflammatory factors as a protective factor for cancers. In this case-control study, we aimed to assess the possible association between dietary potassium intake and the risk of breast cancer (BC) among Iranian adult women. METHODS: The present case-control study was conducted at Shohada and Imam Hossain hospitals, in Tehran. The study included 134 newly diagnosed cases of BC and 267 controls. A validated semi-quantitative 168-item food frequency questionnaire was used to compute the potassium intake. Logistic regression, adjusted for potential confounders, was used to estimate odds ratios(ORs) and 95% confidence intervals(CI) of BC according to tertiles of potassium intake. RESULTS: , respectively. Also, the M ± SD of potassium intake for the control and case groups was 1616 ± 293 and 1542 ± 338 (mg/1000 Kcal), respectively. In the multivariable-adjusted model for potential confounders, the higher total potassium intake was associated with decreased odds of BC (OR: 0.35, 95%CI: 0.19-0.62, P for trend < 0.001). Moreover, an inverse relationship was observed between potassium from plant sources (OR: 0.39, 95%CI: 0.22-0.69, P for trend = 0.001) and fruit and vegetable sources (OR: 0.49, 95%CI: 0.28-0.87, P for trend = 0.016) and odds of BC. CONCLUSIONS: Our findings suggested that diet rich in potassium may have a predictive role to reduce the odds of BC.
Source: BMC Cancer
Institutions: Research Institute for Endocrine Sciences, Shahid Beheshti University, Shahid Beheshti University of Medical Sciences, Iran University of Medical Sciences, Hormozgan University of Medical Sciences, National Nutrition and Food Technology Research Institute, Shiraz University of Medical Sciences, Ahvaz Jundishapur University of Medical Sciences
Language: English
Topic: Nutritional Studies and Diet
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W4401519453
