Jiazhang Huang

Dr. Jiazhang Huang

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 June 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
PWPei WANG
Pei WANG
JHJiazhang Huang
Jiazhang Huang
JSJunmao Sun
Junmao Sun
RLRui Liu
Rui Liu
TJTong Jiang
Tong Jiang
Guiju SunGuiju Sun
Guiju Sun
There are many methods or indicators used for evaluating the nutritional value of foods; however, it is difficult to accurately reflect the comprehensive nutritional value of a food with a single indicator, and a systematic evaluation system is lacking. In this article, we systematically summarize the common evaluation methods and indicators of the nutritional value of foods. The purpose of this review was to establish an evaluation procedure for nutritional properties of foodstuffs and to help scientists choose more direct and economical evaluation methods according to food types or relevant indicators. The procedure involves the selection of a three-level evaluation method that covers the whole spectrum of a food’s nutritional characteristics. It is applicable to scientific research in the fields of agricultural science, food science, nutrition, and so on.

HZHUANG Ze-ying
HUANG Ze-ying
BHBeixun Huang
Beixun Huang
JHJiazhang Huang
Jiazhang Huang
Since 2013, China has implemented a nutrition label regulation that aims to provide essential nutrition information through nutrition facts tables labeled on the back of food packages. Yet, the relationship between people’s nutrition knowledge and their nutrition label use remains less clear. This study adopted the structural equation modeling approach to analyze a nationally representative survey of 1500 Chinese individuals through the cognitive processing model, interrelated nutrition knowledge, attention to nutrition information on the nutrition facts table, comprehension of nutrition information, food choice and dietary intake. It was found that nutrition knowledge positively influenced attention to nutrition information; a better comprehension of nutrition information, which could benefit healthier food choices, did not relate to a higher level of attention to that information; dietary intake was affected significantly by nutrition knowledge, but it had little impact on food choice. The results signify that nutrition knowledge hardly supports nutrition facts table use among the Chinese people, mainly due to incomprehensible labeled information. Therefore, it emphasizes the need to enhance people’s comprehension through front-of-package labels and corresponding smartphone applications.

HZHUANG Ze-ying
HUANG Ze-ying
HLhaijun li
haijun li
JHJiazhang Huang
Jiazhang Huang
The nutrition facts table is a nutrition labeling tool designed to help consumers understand the nutritional content of food and make informed food choices. However, the utilization rate of the nutrition facts table has been low in China since its introduction in 2013. This study employed structural equation modeling to investigate consumers’ knowledge, attitudes, and practices related to the nutrition facts table by using an online survey of 930 valid samples from 31 provinces in China based on the knowledge, attitude, practice (KAP) model. The analysis revealed that most respondents had a positive attitude, but not a good level of knowledge or practice in their use of the labeling. Respondents’ knowledge about the nutrition facts table directly affected their attitude, through which it could then affect their practice, whereas knowledge played an indirect role in nutrition labeling use. The results confirmed that the KAP model is suitable for explaining consumers’ use of nutrition labels in China, and that the first step to promoting labeling usage is to enrich consumers’ knowledge on the nutrition facts table.

GPgangwei pu
gangwei pu
SLShijun Lu
Shijun Lu
MZMo Zheng
Mo Zheng
JHJiazhang Huang
Jiazhang Huang
GCGuangyan Cheng
Guangyan Cheng
The purpose of this study was to research the amount of cooking oil used in mainstream Chinese cuisine, as well as the features of cooking oil used in different types of dishes. The results provide reference data for the assessment of edible oil intake for eating out. A total of 302 common Chinese dishes were chosen and prepared following standard procedures. The cooking oils used in these dishes were analyzed in terms of the cooking process, food material combination, types of primary food materials, type of cooking oil, and the purpose of the cooking oil. The results showed that the mean amount of cooking oil used per 100 g of food material was 8.1 g. There were no significant differences in the amount of cooking oil used in the eight major styles of Chinese cuisine. The average amount of cooking oil used in hot dishes (10.0 g) was higher than that used in cold dishes. The amount of cooking oil in pure meat, mixed meat-vegetable, and pure vegetable dishes was up to 10.9 g, 9.3 g, and 4.6 g, respectively. The findings of the present study could be used in future dietary surveys to determine the average oil consumption associated with different dishes. In addition, the results provide reference data for oil intake assessments in nutrition surveys or nutritional recipes.

28 August 2025 in Journal of Cleaner Production
Verified
Journal Article
Open access
TLTai Li
Tai Li
LXLi Xue
Li Xue
PLPeng Liu
Peng Liu
SZShuo Zhang
Shuo Zhang
JHJiazhang Huang
Jiazhang Huang
JSJunmao Sun
Junmao Sun

11 April 2024 in Foods
Verified
Journal Article
Open access
PDF file
STshiting tang
shiting tang
PWPei WANG
Pei WANG
HXHuan Xing
Huan Xing
HZHUANG Ze-ying
HUANG Ze-ying
PLPeng Liu
Peng Liu
JHJiazhang Huang
Jiazhang Huang
The consumption of edible vegetable oil is an important source of essential fatty acids and vitamin E for the human body. Guiding residents to consume scientifically and reasonably control the intake of edible oils is an important part of promoting the construction of a healthy China. Currently, Chinese residents have an insufficient understanding of the scientific consumption of edible oils, leading to an intake exceeding the dietary recommendations, resulting in excessive fat intake and increasing the risk of chronic diseases such as obesity and cardiovascular diseases. Based on the Theory of Planned Behavior (TPB) and using Structural Equation Modeling (SEM), this study analyzed the cognitive preferences and willingness to pay a premium for edible vegetable oils among urban consumers in China. The survey included 1098 Chinese urban consumers of vegetable oils. The research found that attitudes, health value, monetary value, and environmental endowment of urban residents are the main predicting factors of the intention to purchase high-quality vegetable oils. This study confirms the applicability of the Theory of Planned Behavior in the consumption of high-quality vegetable oils and provides theoretical contributions and insights for Chinese enterprises and policymakers in formulating marketing strategies for vegetable oils.