Healthy eating index-2015 and breast cancer: a case-control study

IF 1 Q4 FOOD SCIENCE & TECHNOLOGY Nutrition & Food Science Pub Date : 2021-11-23 DOI:10.1108/nfs-03-2020-0101
M. Safabakhsh, Sakineh Shab-Bidar, H. Imani
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Abstract

Purpose Recently, evidences have suggested that healthy eating index (HEI), an index-based dietary pattern, may be a predictor for the risk of cancer. This paper aims to examine the association of HEI-2015 and its all components scores with the risk of breast cancer (BC), separately, among Iranian women. Design/methodology/approach In the present hospital-based, case-control study, 150 age-matched of cases (newly diagnosed female) and 150 controls were recruited. Data of dietary habits and anthropometric measures were obtained, and eventually, the HEI-2015 score was calculated. Multivariate odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the relationship between the risk of BC across tertiles (Ts) of total HEI-2015 and its all component scores. Findings The results presented that in adjusted model, there was no significant difference between total HEI-2015 (p = 0.14) and its all component scores (p > 0.09) of healthy subjects and females with BC. Moreover, multivariable logistic regression analyses indicated that HEI-2015 score was not associated with the risk of BC in either crude (p-trend = 0.94) or adjusted (p-trend = 0.73) analyses. In the analyses of HEI-2015 components scores, it was observed that the scores of grains (OR, 0.53; 95% CI, 0.30–0.94) and total protein foods (OR, 0.13; 95% CI, 0.02–0.58) may have a relation with BC risk in crude model but after adjusting for BC risk factors, the mentioned associations changed to non-significant. Originality/value The findings of current study suggested that there was no significant association of total HEI-2015 and its components scores, independently, with BC incidence among Iranian women.
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2015年健康饮食指数与癌症的病例对照研究
目的最近,有证据表明,健康饮食指数(HEI)是一种基于指数的饮食模式,可能是癌症风险的预测因子。本文旨在分别研究伊朗妇女中HEI-2015及其所有成分评分与乳腺癌(BC)风险的关系。在本以医院为基础的病例对照研究中,招募了150例年龄匹配的病例(新诊断的女性)和150例对照。获得饮食习惯和人体测量数据,最终计算出HEI-2015评分。采用多变量优势比(ORs)和95%置信区间(CIs)来评估HEI-2015总分组中BC风险与其所有成分评分之间的关系。结果显示,在调整后的模型中,健康受试者与女性BC患者的HEI-2015总分(p = 0.14)及其各成分评分(p > 0.09)无显著差异。此外,多变量logistic回归分析表明,无论在原始分析(p-trend = 0.94)还是调整分析(p-trend = 0.73)中,HEI-2015评分都与BC的风险无关。在对HEI-2015成分得分的分析中,观察到谷物的得分(OR, 0.53;95% CI, 0.30-0.94)和总蛋白质食物(OR, 0.13;95% CI, 0.02-0.58)在粗模型中可能与BC风险相关,但在调整了BC风险因素后,上述关联变为不显著。原创性/价值目前的研究结果表明,伊朗妇女的BC发病率与HEI-2015总分及其组成部分评分之间没有显著的独立关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nutrition & Food Science
Nutrition & Food Science FOOD SCIENCE & TECHNOLOGY-
CiteScore
2.80
自引率
8.30%
发文量
85
期刊介绍: Nutrition & Food Science* (NFS) is an international, double blind peer-reviewed journal offering accessible and comprehensive coverage of food, beverage and nutrition research. The journal draws out the practical and social applications of research, demonstrates best practice through applied research and case studies and showcases innovative or controversial practices and points of view. The journal is an invaluable resource to inform individuals, organisations and the public on modern thinking, research and attitudes to food science and nutrition. NFS welcomes empirical and applied research, viewpoint papers, conceptual and technical papers, case studies, meta-analysis studies, literature reviews and general reviews which take a scientific approach to the following topics: -Attitudes to food and nutrition -Healthy eating/ nutritional public health initiatives, policies and legislation -Clinical and community nutrition and health (including public health and multiple or complex co-morbidities) -Nutrition in different cultural and ethnic groups -Nutrition during pregnancy, lactation, childhood, and young adult years -Nutrition for adults and older people -Nutrition in the workplace -Nutrition in lower and middle income countries (incl. comparisons with higher income countries) -Food science and technology, including food processing and microbiological quality -Genetically engineered foods -Food safety / quality, including chemical, physical and microbiological analysis of how these aspects effect health or nutritional quality of foodstuffs
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