Relationship between Ultra-processed Food Consumption and Obesity in Low-income Populations

Background: In recent years, the consumption of ultra-processed foods (UFPs) has increased rapidly in various countries, and based on this, various health problems such as chronic diseases such as obesity are common, especially in the consumption patterns of low-income groups. This is not only a serious threat to individual health but also causes various pressures on the public health system. Therefore, it is of great practical significance to study the consumption behavior of low-income people on UFPs and its impact on health. Results: Data analysis showed that after adjusting for confounding factors, we found that the population with high frequency of consumption of super industrial food had a higher risk of obesity than the population with low frequency of consumption of UFPs. This food is usually high in sugar and fat, in addition, long-term artificial sweeteners may increase people's desire for sweets, so low-income people are easy to develop dependence on UFPs, which increases the risk of obesity. Conclusion: This study shows that there is a strong direct relationship between excessive consumption of UFPs and obesity, especially in low-income populations. This leads to a significant increase in the prevalence of obesity and related chronic diseases. Therefore, the results of this study provide direct and important reference materials for public health workers and policymakers, thereby reducing the enormous pressure on social health caused by UFPs, raising public awareness of its harmful effects, and improving the eating patterns of low-income populations. This research has important theoretical significance and practical value.

Authors

Institutions

Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-12-24
DOI
https://doi.org/10.54097/8g7x5102
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between Ultra-processed Food Consumption and Obesity in Low-income Populations

Bingbing Sun, Haoyang Li, Xiaolu Chen
Highlights in Science Engineering and Technology
Nutritional Studies and Diet
article

Relationship between Ultra-processed Food Consumption and Obesity in Low-income Populations

Bingbing Sun, Haoyang Li, Xiaolu Chen
article en

Abstract

Background: In recent years, the consumption of ultra-processed foods (UFPs) has increased rapidly in various countries, and based on this, various health problems such as chronic diseases such as obesity are common, especially in the consumption patterns of low-income groups. This is not only a serious threat to individual health but also causes various pressures on the public health system. Therefore, it is of great practical significance to study the consumption behavior of low-income people on UFPs and its impact on health. Results: Data analysis showed that after adjusting for confounding factors, we found that the population with high frequency of consumption of super industrial food had a higher risk of obesity than the population with low frequency of consumption of UFPs. This food is usually high in sugar and fat, in addition, long-term artificial sweeteners may increase people's desire for sweets, so low-income people are easy to develop dependence on UFPs, which increases the risk of obesity. Conclusion: This study shows that there is a strong direct relationship between excessive consumption of UFPs and obesity, especially in low-income populations. This leads to a significant increase in the prevalence of obesity and related chronic diseases. Therefore, the results of this study provide direct and important reference materials for public health workers and policymakers, thereby reducing the enormous pressure on social health caused by UFPs, raising public awareness of its harmful effects, and improving the eating patterns of low-income populations. This research has important theoretical significance and practical value.

Highlights in Science Engineering and TechnologyVol. 123
Wuhan Polytechnic University (CN), Yonsei University (KR)
No poverty
Openalex Percentile: Top 63%
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.