DOI
10.1016/j.foodchem.2023.137460
Consumption of ultra-processed foods and multiple health outcomes: An umbrella study of meta-analyses
作者地址
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
通讯作者
Yang, Kehu; Li, Xiuxia;Lu, Cuncun
摘要
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.
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].
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
WOS关键词
SYSTEMATIC REVIEWS
;
METABOLIC SYNDROME
;
GRADE
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