Qian Zhang

Dr. Qian Zhang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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27 June 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
QGQian Gan
Qian Gan
PXPeipei Xu
Peipei Xu
TYTiti Yang
Titi Yang
WCWei Cao
Wei Cao
JXJuan Xu
Juan Xu
QZQian Zhang
Qian Zhang
Objective: There is a remarkable growth in sugar-sweetened (SSB) production and obesity prevalence among school-aged children in China. This paper describes SSB consumption and its association with obesity among Chinese children aged 6–17 years in 2012. Methods: in total, 25,553 children aged 6~17 years enrolled in the China Nutrition and Health Surveillance 2010–2013 were included in this study. Data of SSB consumption frequency and quantity were obtained from a food frequency questionnaire, and the children’s nutritional status was assessed. Multivariate logistic regression was used to evaluate the association between SSB consumption and obesity status. Results: SSB intake was estimated as 181.0 g/day, occurring 2.2 times/week. Older children, males, children from urban areas, and children with higher socioeconomic status were more likely to consume SSBs. Children who consumed SSBs 1~5 times/week (12.9%) were more likely to be overweight/obesity than those who consumed SSBs less than once/week. Conclusion: SSB consumption was common among Chinese school-aged children, especially among males, older children, and children from urban areas. High consumption of SSBs was associated with a higher prevalence of overweight/obesity. Actions and plans are required to reduce SSB consumption and control childhood obesity in China.

5 December 2024 in Nutrients
Verified
Journal Article
Open access
PDF file
MXMinghui Xiang
Minghui Xiang
XTXiaoli Tian
Xiaoli Tian
HWHui Wang
Hui Wang
PGPing Gan
Ping Gan
QZQian Zhang
Qian Zhang
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a refined categorization of non-alcoholic fatty liver disease (NAFLD), highlighting the intricate relationship between hepatic steatosis and metabolic dysfunction. Abdominal obesity (AO), a key diagnostic criterion for metabolic dysfunction, predominantly results from inappropriate diet and unhealthy dietary habits. To comprehensively investigate which dietary factors contribute to MASLD through AO and to understand the underlying biological mechanisms, we initially conducted a systematic review of meta-analysis articles in the PubMed database from the past decade, summarizing dietary factors that affect AO. Subsequently, we conducted targeted searches in the PubMed database for these dietary factors and provided a narrative review of the mechanisms of how these dietary factors lead to AO and how AO exacerbates MASLD. A diet characterized by excessive intake of energy, carbohydrates, fructose, or ultra-processed foods (UPFs) is considered inappropriate. Inappropriate diet leads to the formation of MASLD and AO by enhancing pathways such as de novo lipid synthesis (DNL) in the liver, insulin resistance (IR), gut–liver dysfunction, and inflammation. Dietary interventions for inappropriate diets can effectively intervene in and improve MASLD and AO. The mechanism of inappropriate diet on abdominal fat deposition is through excessive energy or the activation of the enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD-1) to increase endocortisol secretion. Then, the excessive accumulation of visceral fat facilitates a rapid and augmented flux of free fatty acids (FFAs) to the liver and initiates a series of deleterious effects, including oxidative stress (OS), endoplasmic reticulum stress (ERS), activation of protein kinase C (PKC) pathways, and inflammation. Additionally, FFAs may mediate excessive lipid deposition and hepatocellular damage through the action of hormones. These pathways to liver damage exacerbate MASLD and progression to metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis. Furthermore, investigating other potential mechanisms by which AO may influence MASLD could offer new recommendations for the treatment guidelines of MASLD.

18 April 2023 in Nutrients
Verified
Journal Article
Open access
PDF file
CYChunjie Yin
Chunjie Yin
QGQian Gan
Qian Gan
PXPeipei Xu
Peipei Xu
TYTiti Yang
Titi Yang
JXJuan Xu
Juan Xu
QZQian Zhang
Qian Zhang
Dietary shifts in populations undergoing rapid economic transitions have been proposed as partly contributing toward the rapid intergenerational rise in myopia prevalence; however, empirical evidence of the effect of dietary factors on myopia is limited. This study investigated the association between dietary factors and incident myopia in Chinese children aged 10–11 years. We evaluated dietary habits using a 72-item food frequency questionnaire (FFQ) among 7423 children. Myopic status was assessed using the “General Personal Information Questionnaire”. Principal component analysis was used to extract dietary patterns and investigate their association with myopia. After adjusting for potential confounders, participants with the highest adherence to dietary pattern A (95% confidence interval (CI): 0.66–0.92, p for trend = 0.007) and dietary pattern C (95% CI: 0.58–0.80, p for trend < 0.001) had a lower risk of myopia than participants with the least adherence. Both of these dietary patterns are characterized by high consumption of meats, aquatic product, dairy and its products, eggs, legumes, vegetables, fruits, grains, and potatoes. Our findings suggest that other environmental factors, such as those related to the dietary environment, may contribute to the development of myopia. These findings can serve as a reference for diet-related primary prevention of myopia.

1 June 2019
Verified
Journal Article
Closed access
PPPei Pei Xu Pei Pei
Pei Pei Xu Pei Pei
TTTi Ti Yang Ti Ti
Ti Ti Yang Ti Ti
JJJuan Xu Juan
Juan Xu Juan
LLLi Li Li
Li Li Li
WWWei Cao Wei
Wei Cao Wei
QZQian Zhang
Qian Zhang

12 January 2025 in Nutrients
Verified
Journal Article
Open access
PDF file
CYChunjie Yin
Chunjie Yin
QGQian Gan
Qian Gan
PXPeipei Xu
Peipei Xu
TYTiti Yang
Titi Yang
JXJuan Xu
Juan Xu
QZQian Zhang
Qian Zhang
Background/Objectives: The prevalence of both myopia and obesity is increasing among children and adolescents around the world. We aimed to examine the association between weight status and myopia in Chinese children and adolescents. Methods: The analysis included 35,108 participants aged 6–17 from a nationwide cross-sectional survey. Results: Our results indicated that girls with overweight and obesity had higher odds ratio (OR) of myopia and mild myopia: ages 6–8 (OR = 1.33, 95% CI: 1.01–1.76; OR = 1.71, 95% CI: 1.14–2.55) and 9–11 (OR = 1.22, 95% CI: 1.03–1.44; OR = 1.31, 95% CI: 1.06–1.62). Myopic boys had higher body fat percentages (BFP) at ages 6–8 (β = 1.18, 95% CI: 0.38–1.98), 9–11 (β = 0.58, 95% CI: 0.08–1.07), and 15–17 (β = 0.42, 95% CI: 0.03–0.80), and higher body mass index (BMI) at ages 9–11 (β = 0.30, 95% CI: 0.12–0.48) and 12–14 (β = 0.19, 95% CI: 0.02–0.38). Girls had higher BFP at ages 9–11 (β = 0.62, 95% CI: 0.19–1.05) and 12–14 (β =0.53, 95% CI: 0.19–0.88) and higher BMI at 9–11 (β = 0.53, 95% CI: 0.34–0.73). Furthermore, the dose–response curves revealed a significant gender- and age-specific association between BMI, BFP, and myopia odds ratio. Conclusions: the study found an association between overweight or obesity and myopia in girls aged 6–11, and indicated that high BFP and BMI are associated with myopia, varying by sex and age.

27 September 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
YXYing Xu
Ying Xu
XBXiaoyi Bi
Xiaoyi Bi
TGTingting Gao
Tingting Gao
TYTiti Yang
Titi Yang
PXPeipei Xu
Peipei Xu
QZQian Zhang
Qian Zhang
The nutritional status of rural Chinese children has improved in recent years, but their nutritional knowledge is still relatively lacking. School-based nutrition and health education was conducted for children in three counties of China from 2018 to 2020. The students in the intervention schools were given two-year nutrition and health education courses, while the control schools did not receive any intervention. Students’ nutrition knowledge, dietary intake, and dietary behaviors were collected using a questionnaire, and height and weight were measured uniformly. The nutrition knowledge score in the intervention group was increased by 1.01 and 0.64 points in the first and second years. A multilevel model was used to evaluate the intervention effects. Statistically significant interactions between groups and time were observed in nutrition knowledge, the frequency of eating breakfast, and dietary intake, including meat, eggs, milk, and vegetables (p < 0.05), but not in nutritional status. Therefore, the supplementation of school-based nutrition and health education had a positive impact on the nutrition knowledge and dietary intake of rural Chinese children.