Zequn Deng

Mr. Zequn Deng

Fudan University
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

View All Publications
18 June 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
NWNa Wang
Na Wang
Zequn DengZequn Deng
Zequn Deng
Li Ming WenLi Ming Wen
Li Ming Wen
YDYan Ding
Yan Ding
GHGengsheng He
Gengsheng He
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Hospital-based health promotion resources to assist pregnant women in achieving healthy lifestyle and optimizing gestational weight gain (GWG) is important, but with limited effects. Increasingly, women are using mobile applications (apps) to access health information during the antenatal period. Objective: This study aimed to have a better understanding of the use of mobile apps for health information among Chinese women during pregnancy and to inform the development of health promotion program through an app. Methods: A mixed methods study design was applied. Study participants were recruited from two maternity hospitals in Shanghai, China between March and July 2018. A self- administered online survey was conducted with 535 Chinese pregnant women on their sources of health information and reasons for using apps during pregnancy. Four semi-structured focus groups were also conducted with pregnant women (n = 28). Results: The use of pregnancy related apps and internet were common among the respondents. Almost half of women had used pregnancy related apps. Specifically, the use of app for health information declined as pregnancy progressed from 70% (35/50) in the first trimester to 41.3% (143/346) in the third trimester. The main reasons of using an app were for monitoring foetal development (81.5%, 436/535) followed by learning nutrition and recording diet in pregnancy (26.2%,140/535). Women found the apps were useful and convenient for promoting lifestyle modifications during pregnancy. However, some apps also contained misinformation or incorrect information which could cause anxiety. Many women expressed the need of developing an app containing evidence-based, well-informed and tailored health information to support them during pregnancy. Conclusions: Smartphone apps have the potential to deliver health information, but they can also cause negative impact on women with misinformation. Efforts should be made by health professionals, app developers and policy makers to ensure quality apps to be developed for providing timely health promotion information. The apps can be intergraded into maternal care to meet the needs of pregnant women.

NWNa Wang
Na Wang
Zequn DengZequn Deng
Zequn Deng
Li Ming WenLi Ming Wen
Li Ming Wen
YDYan Ding
Yan Ding
GHGengsheng He
Gengsheng He
The relationships between maternal dietary patterns and blood lipid profile during pregnancy have not been well understood. We aimed to analyze the dietary patterns of pregnant women and their associations with blood lipid concentrations during pregnancy. A cohort of 1008 Chinese pregnant women were followed from 10–15 weeks of gestation to delivery. Their dietary patterns were identified using a principal component analysis. The relationships between dietary pattern score and maternal blood lipid concentrations were assessed using both multivariate linear regression models and generalized estimating equation (GEE) models. Five different dietary patterns were identified. GEE showed that a high score for the fish-shrimps pattern was associated with higher concentrations of total cholesterol (TC) (β = 0.11), low-density lipoprotein cholesterol (LDL-C) (β = 0.07), and high-density lipoprotein cholesterol (HDL-C) (β = 0.03), with all p values < 0.001. In contrast, a high tubers-fruit-vegetables pattern score was associated with lower concentrations of TC (β = −0.12), LDL-C (β = −0.07), and HDL-C (β = −0.03), with all p values < 0.001. In addition, dietary protein, carbohydrate, and cholesterol intake significantly contributed to the associations between the fish-shrimps dietary pattern and blood lipid concentrations. Predominant seafood consumption is associated with higher cholesterol concentrations, whereas predominant tuber, fruit, and vegetable consumptions are associated with lower cholesterol concentrations during pregnancy.

1 December 2021 in The Journal of Nutritional Biochemistry
Verified
Journal Article
Closed access
YLYuwei Liu
Yuwei Liu
ZSZhuo Sun
Zhuo Sun
MWMin Wu
Min Wu
Zequn DengZequn Deng
Zequn Deng
MZMengman Zheng
Mengman Zheng
GHGengsheng He
Gengsheng He

YZYuan-Shen Zhu
Yuan-Shen Zhu
ZSZhuo Sun
Zhuo Sun
DKDANDAN KE
DANDAN KE
JYJia-Qi Yang
Jia-Qi Yang
WLWen-Yun Li
Wen-Yun Li
GHGengsheng He
Gengsheng He
Background: Over the past two decades, both transport modes as well as overweight/obesity have changed dramatically among students in China, but their relationships are not clear. This study aimed to investigate modes of transport to school and their associations with the weight status of Chinese students. Methods: A cross-sectional study was conducted with non-resident students aged 6 to 17 years from all 16 districts across Shanghai, China in October and November 2019. Information about sociodemographic characteristics and the models of travel to school among students was investigated using an online, self-administered, structured questionnaire (or those assisted by their parents). Weight and height were measured by school health workers, and the Chinese standard age adjusted BMI (weight/height2) was used to classify students’ weight status. Cumulative logistic regression modelling was used to examine the relationships. Results: The main mode of transport to school was an active mode (46.5%, defined as walking, bicycling, or public transport), followed by an inactive mode of transport (30.5%, defined as a car or bicycle as a passenger), and a combination of both modes (23%). About one-third of the students were overweight or obese and 5% were underweight. No statistically significant association between transport modes and weight status was found in this study. Conclusions: In Shanghai, close to one-third of children travel to school by an inactive mode of transport. The findings of this study did not support the notion that an active mode to school could be beneficial for preventing overweight/obesity in students in China.

29 October 2018 in JMIR Preprints
Verified
Preprint
Open access
NWNa Wang
Na Wang
Zequn DengZequn Deng
Zequn Deng
Li Ming WenLi Ming Wen
Li Ming Wen
YDYan Ding
Yan Ding
GHGengsheng He
Gengsheng He
BACKGROUND Hospital-based health promotion resources to assist pregnant women in adopting a healthy lifestyle and optimizing gestational weight gain are important, but with limited effects. Increasingly, women are using mobile apps to access health information during the antenatal period. OBJECTIVE The aims of the study were to investigate app-usage by Chinese women during pregnancy and to gain a better understanding of their views and attitudes toward apps containing health information. METHODS A mixed methods study design was applied. Study participants were recruited from 2 maternity hospitals in Shanghai, China, between March and July 2018. A self-administered Web-based survey was conducted with 535 pregnant Chinese women on their sources of health information and reasons for using apps during pregnancy. A total of 4 semistructured focus groups were also conducted with the pregnant women (n=28). RESULTS The use of pregnancy-related apps and the internet was common among the respondents. Almost half of the women had used pregnancy-related apps. Specifically, the use of apps for health information declined as pregnancy progressed from 70% (35/50) in the first trimester to 41.3% (143/346) in the third trimester. The main reason for using an app was to monitor fetal development (436/535, 81.5%), followed by learning about nutrition and recording diet in pregnancy (140/535, 26.2%). The women found that the apps were useful and convenient and can support lifestyle modifications during pregnancy. However, some apps also contained misinformation or incorrect information that could cause anxiety as reported by the participants. Many women expressed the need for developing an app containing evidence-based, well-informed, and tailored health information to support them during pregnancy. CONCLUSIONS The study suggests that apps were widely used by many Chinese women during pregnancy to monitor fetal development, to obtain diet and physical activity information, and to track their body changes. The women highly appreciated the evidence-based information, expert opinions, and tailored advice available on apps. Smartphone apps have the potential to deliver health information for pregnant women.