1Department of Food and Nutrition, College of Human Ecology,Seoul National University,1 Gwanak-ro, Gwanak-gu, Seoul 08826,Republic of Korea.
Public Health Nutr. 2018 Oct;21(14):2617-2629. doi: 10.1017/S1368980018001490. Epub 2018 Jun 18.
An index of biomarkers derived from dietary factors (diet-biomarker-related index) identifies foods and nutrients that encompass physiological potentials and provides scientific evidence for dietary patterns that increase the risk of disease associated with specific biomarkers. Although men and women have different dietary patterns and physiological characteristics, sex is not often considered when investigators develop a diet-biomarker-related index. We aimed to review whether epidemiological studies developed diet-biomarker-related indices in a sex-specific way.
We systematically searched for epidemiological studies that developed diet-biomarker-related indices, including (i) biomarker prediction indices that include dietary factors as explanatory variables and (ii) dietary patterns to explain biomarker variations, in the PubMed and EMBASE databases. We qualitatively reviewed the sex consideration in index development.
We identified seventy-nine studies that developed a diet-biomarker-related index. We found that fifty-four studies included both men and women. Of these fifty-four studies, twenty-nine (53·7 %) did not consider sex, eleven (20·3 %) included sex in the development model, seven (13·0 %) considered sex but did not include sex in the development model, and seven (13·0 %) derived a diet-biomarker-related index for men and women separately. A list of selected dietary factors that explained levels of biomarkers generally differed by sex in the studies that developed a diet-biomarker-related index in a sex-specific way.
Most studies that included both men and women did not develop the diet-biomarker-related index in a sex-specific way. Further research is needed to identify whether a sex-specific diet-biomarker-related index is more predictive of the disease of interest than an index without sex consideration.
基于饮食因素的生物标志物指标(饮食-生物标志物相关指标)可确定包含生理潜能的食物和营养素,并为与特定生物标志物相关的疾病风险增加的饮食模式提供科学依据。尽管男性和女性的饮食模式和生理特征不同,但研究人员在开发饮食-生物标志物相关指标时通常不考虑性别。我们旨在评估流行病学研究是否以特定性别方式开发饮食-生物标志物相关指数。
我们系统地在 PubMed 和 EMBASE 数据库中搜索了开发饮食-生物标志物相关指数的流行病学研究,包括(i)包含饮食因素作为解释变量的生物标志物预测指数和(ii)解释生物标志物变化的饮食模式。我们定性地回顾了指数开发中的性别考虑因素。
我们确定了 79 项开发饮食-生物标志物相关指数的研究。我们发现,其中 54 项研究同时纳入了男性和女性。在这 54 项研究中,有 29 项(53.7%)没有考虑性别,11 项(20.3%)在开发模型中包含了性别,7 项(13.0%)考虑了性别但没有在开发模型中包含性别,7 项(13.0%)分别为男性和女性开发了饮食-生物标志物相关指数。在以特定性别方式开发饮食-生物标志物相关指数的研究中,通常根据性别列出了可解释生物标志物水平的特定饮食因素。
大多数同时纳入男性和女性的研究没有以特定性别方式开发饮食-生物标志物相关指数。需要进一步研究以确定特定性别饮食-生物标志物相关指数是否比不考虑性别的指数更能预测相关疾病。