兰州大学循证社会科学交叉创新实验室 Innovation Laboratory of Evidence-based Social Sciences,Lanzhou University

Consumption of ultra-processed foods and multiple health outcomes: An umbrella study of meta-analyses

Yang, Kehu; Li, Xiuxia;Lu, Cuncun
2024-02-15
Consumption of ultra-processed foods (UPFs) is associated with various adverse health outcomes, which significantly influence the global disease burden. This umbrella review aimed to fill the knowledge gap and guide public health practices by summarizing the association between UPFs and multiple health outcomes. A total of four databases were systematically searched from inception to December 2022, and 14 eligible systematic re-views (SRs) with meta-analyses (MAs) were identified. The SRs were published in 10 journals from 2020 to 2023, with 54,147-5,750,133 participants and 5-61 studies. The overall corrected covered area (CCA) was corresponded to a slight overlap. The results showed that an increased UPFs consumption is associated with multiple health outcomes (e.g., obesity, diabetes, hypertension, mortality). Only two SRs were "Moderate" regarding the overall methodological quality, while the other twelve were "Low" or "Critically low". Therefore, well-conducted SRs with high-quality prospective cohorts with a particular focus on special populations are needed to verify these findings further.
FOOD CHEMISTRY
卷号:434
ISSN:0308-8146|收录类别:SCIE
DOI
10.1016/j.foodchem.2023.137460
EISSN
1873-7072
出版日期
2024-02-15
资助信息
the quality of evidence for public health decision making under [Grant number 72074103], the Major Program of the National Science Found of China “Research on the Theoretical System, International Experience and Chinese Path of Evidence-based Social Science” under [Grant number 19ZDA142], and Open Project of National Institute of Medical Security of Capital Medical University: Research on the quality evaluation system of medical insurance services based on DIP under [Grant number YB2021B07].
相关链接
https://www.sciencedirect.com/science/article/pii/S0308814623020782?via%3Dihubda005
语种
英文
国家
中国
学科领域
循证医学
被引频次(WOS)
11
来源机构
Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China; Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China.
研究类型
Meta分析
关键词
Ultra-processed foods Health AMSTAR-2 Meta-research Umbrella review
资助机构
首都医科大学 全国哲学社会科学工作办公室
WOS学科分类
Chemistry, Applied Food Science & Technology Nutrition & Dietetics