ArticleNutrients2023
Ultra-Processed Food Consumption and Risk of Overweight or Obesity in Chinese Adults: Chinese Food Consumption Survey 2017-2020.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of Five Types of Front-of-Package Nutrition Labels on Consumer Behavior among Young Adults: A Systematic Review.Nutrients · 2024Pooled it
- Associations Between Ultra-Processed Food (UPF) Consumption and Weight Change and Obesity Risk Among Consumers of Plant-Based Diets: A Systematic Review.Journal of the American Nutrition AssociationPooled it
- Article
- Association Between Free Sugar Intake and Risk of Dyslipidemia in Chinese Adults-Evidence from the Chinese Food Consumption Survey and the China Health and Nutrition Survey.Foods (Basel, Switzerland) · 2026Article
- Nutrition literacy and socio-demographic determinants among Chinese women of childbearing age.Frontiers in public health · 2026Article
- Consumption Patterns of NOVA Food Groups and their Association with Body Mass Index among Jordanian Adults.Journal of epidemiology and global health · 2025Article
- Diet and the gut microbiota profiles in individuals at risk of chronic heart failure - A review on the Asian population.Asia Pacific journal of clinical nutrition · 2025Review
- Article
- Ultra-processed food intake and its association with obesity risk factors, Mediterranean diet, and nutrient intake of adults.Frontiers in nutrition · 2025Article
- Association Between Ultraprocessed Food Consumption and Metabolic Disorders in Children and Adolescents with Obesity.Nutrients · 2024Article
- How Cognition Influences Chinese Residents' Continuous Purchasing Intention of Prepared Dishes under the Distributed Cognitive Perspective.Foods (Basel, Switzerland) · 2024Article
- Ultra-processed Food and Obesity: What Is the Evidence?Current nutrition reports · 2024Review
- The impact of ultra-processed foods and unprocessed or minimally processed foods on the quality of life among adolescents: a longitudinal study from China.Frontiers in nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Overweight and obesity have increased rapidly in the past few decades in China, and less research has focused on the association between the consumption of ultra-processed foods (UPFs) and overweight or obesity in Chinese adults. The objective of this study was to determine the relationship of UPF consumption with the risk of overweight or obesity in Chinese adults. Residents aged 18 years and above who participated in the nationally representative survey Chinese Food Consumption Survey in 2017-2020 were included in this study. Dietary intake data were collected via non-consecutive three-day 24 h dietary recalls and weighing household foods and condiments. According to the NOVA food classification system, UPFs were classified depending on the purpose and extent of food processing. Multiple logistic regression and multivariate-adjusted restricted cubic spline (RCS) regressions were performed to estimate the association between UPF consumption (categorized into quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4)) and risk of overweight or obesity. A total of 38,658 adults aged 18 years and above participated in the present study. The prevalence of overweight and obesity in adults was 33.0% (95% CI: 32.91-33.10) and 9.6% (95% CI 9.55-9.67), respectively. After a multivariable adjustment, the risk of overweight or obesity was increased by 10% in Q3 (OR: 1.10, 95% CI: 1.04-1.17) compared to Q1 as a reference. Women (OR: 1.10, 95% CI: 1.01-1.20) and adults living in small and medium-sized cities (OR: 1.13, 95% CI: 1.01-1.26) with higher UPF consumption had higher odds of overweight or obesity. Nevertheless, the effect of higher UPF consumption on the risk of overweight or obesity was relatively weak for overall adults in China. The top three categories of subgroups consumption of UPFs were 1: sugar-sweetened beverages; 2: sauces, cheeses, spreads, and gravies; and 3: ultra-processed breads and breakfast cereals. These findings provide evidence that higher UPF consumption was positively associated with overweight or obesity, which was defined based on Chinese criteria among women and adults living in small and medium-sized cities in China. Further studies, such as intervention trials, are needed to identify the mechanism of correlation between the consumption of UPFs and health-related outcomes in Chinese adults. From a public health perspective, with the prevalence of overweight and obesity growing and the increase in UPF consumption in Chinese adults, it is necessary to promote healthy food intake and a balanced diet through active nutritional education actions for overweight and obesity prevention and control.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.