Quartey Naa K-A, Haagsma Juanita A, Jakobsen Lea S, Ofosu Isaac W
Food Systems Chemistry, Toxicology and Risk Study Group, Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Heliyon. 2023 Dec 12;10(1):e23075. doi: 10.1016/j.heliyon.2023.e23075. eCollection 2024 Jan 15.
Acrylamide (AA) is a food processing byproduct that forms at high temperatures and is classified as a probable human carcinogen. Previous studies have linked AA to kidney, uterus, and ovary cancer burdens, but its study in African countries remains underexplored. This study systematically used six recent articles on dietary AA concentration data from scholarly databases using specific search terms. We also collected health metrics secondary data from the Institute of Health Metrics and Evaluation and other sources for the period 2015-2019. We used a Monte-Carlo simulation to integrate the dietary AA exposure, risks, and health metrics to estimate the cancer burdens. The results showed that the modal healthy life years lost ranged from 0.00488 (Ghana) to 0.218 (Ethiopia) per 100,000 population. The median statistic indicated 1.2 and 26.10 healthy life years lost for Ghana and Ethiopia, respectively, due to the three cancer types. The four-country study areas' total disability-adjusted life years (DALYs) were 63.7 healthy life-year losses. Despite the limitations of the non-standardized age-related food consumption data and the few inclusive articles, the probabilistic approach may account for the uncertainties and provide valid conclusions.
丙烯酰胺(AA)是一种在高温下形成的食品加工副产品,被归类为可能的人类致癌物。先前的研究已将AA与肾脏、子宫和卵巢癌负担联系起来,但在非洲国家对其研究仍未得到充分探索。本研究系统地使用了来自学术数据库的六篇近期文章,这些文章提供了使用特定搜索词的膳食AA浓度数据。我们还从健康指标与评估研究所和其他来源收集了2015 - 2019年期间的健康指标二手数据。我们使用蒙特卡洛模拟来整合膳食AA暴露、风险和健康指标,以估计癌症负担。结果表明,每10万人口中健康生命年损失的模态范围从0.00488(加纳)到0.218(埃塞俄比亚)。中位数统计表明,由于这三种癌症类型,加纳和埃塞俄比亚分别损失了1.2和26.10个健康生命年。四国研究区域的总残疾调整生命年(DALYs)为63.7个健康生命年损失。尽管非标准化的年龄相关食品消费数据存在局限性且纳入的文章较少,但概率方法可能会考虑到不确定性并提供有效的结论。