Peixia Cheng

Ms. Peixia Cheng


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
27 September 2024 in Journal of Global Health
Verified
Journal Article
Open access
HHHao Huang
Hao Huang
JZJingtao Zhou
Jingtao Zhou
MZMin Zhao
Min Zhao
WLWeiqiang Li
Weiqiang Li
David SchwebelDavid Schwebel
David Schwebel
GHGuoqing Hu
Guoqing Hu
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide [1], accounting for 17.9 million deaths annually, which represents 31% of all global deaths, according to the World Health Organization (WHO). Unhealthy lifestyle factors such as physical inactivity, unhealthy diet, smoking, drinking, and unhealthy sleep patterns are crucial drivers of CVD incidence worldwide […]

9 August 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
PNPeishan Ning
Peishan Ning
PCPeixia Cheng
Peixia Cheng
David SchwebelDavid Schwebel
David Schwebel
YYYang Yang
Yang Yang
RYRenhe Yu
Renhe Yu
GHGuoqing Hu
Guoqing Hu
Background: App-based interventions have the potential to reduce child injury in countries with limited prevention resources, but their effectiveness has not been rigorously examined. Objective: This study aimed to assess the effectiveness of an app-based intervention for caregivers of preschoolers to prevent unintentional injury among Chinese preschoolers. Methods: A 6-month cluster randomized controlled trial was conducted from December 2017 to June 2018. Recruitment was conducted through preschools, which were randomly allocated to either the control group (ie, app-based parenting education excluding unintentional injury prevention) or the intervention group (ie, app-based parenting education including unintentional injury prevention). A total of 2920 caregivers of preschoolers aged 3-6 years from 20 preschools in Changsha, China, were recruited offline through the schools. The primary outcome was unintentional injury incidences among preschoolers in the past 3 months; this measure was assessed through an online caregiver-report at the baseline visit and at 3-month and 6-month follow-up visits. Secondary outcome measures included caregivers’ self-reported attitudes and behaviors concerning child supervision during the last week. Generalized estimating equations (GEEs) were used to assess the effectiveness of the app-based intervention on responses at 3 and 6 months after adjusting for sociodemographic variables, baseline level of the outcome variable, and engagement with interventions in the assigned group. All analyses were intention-to-treat. A per-protocol sensitivity analysis was also conducted. Results: In total, 1980 of the 2920 caregivers completed the study. The mean age of participants was 32.0 years (SD 5.5) and 68.99% (1366/1980) of them were female. During the 6-month follow-up visit, unintentional injury incidence did not change significantly in either group: incidence in the intervention group went from 8.76% (94/1073) to 8.11% (87/1073), P=.59; incidence in the control group went from 9.4% (85/907) to 7.5% (69/907), P=.15. The changes did not differ between the groups (odds ratio [OR] 1.14, 95% CI 0.80-1.62). Changes in the average score in attitude concerning unintentional injury prevention were also similar between the groups (B .05, 95% CI -0.03 to 0.13). Changes in unintentional injury prevention behaviors were greater in the intervention group than in the control group after the intervention (B .87, 95% CI 0.33-1.42). Analyses of individual injury prevention behaviors showed that the intervention reduced three risky behaviors: unsafe feeding of children (OR 0.73, 95% CI 0.60-0.89); incorrectly placing children in cars (OR 0.73, 95% CI 0.57-0.93); and allowing children to ride bicycles, electric bicycles, or motorcycles unsupervised (OR 0.80, 95% CI 0.64-0.99). The intervention also improved scores on three safety-focused behaviors: testing water temperature before giving children a bath (OR 1.26, 95% CI 1.05-1.52); properly storing sharp objects (OR 1.24, 95% CI 1.01-1.52); and safely storing medicines, detergents, and pesticides (OR 1.24, 95% CI 1.02-1.51). Conclusions: The app-based intervention did not reduce unintentional injury incidence among preschoolers but significantly improved caregivers’ safety behaviors. This app-based intervention approach to improve caregiver behaviors surrounding child injury risk offers promise to be modified and ultimately disseminated broadly. Trial Registration: Chinese Clinical Trial Registry ChiCTR-IOR-17010438; http://www.chictr.org.cn/showproj.aspx?proj=17376 (Archived by WebCite at http://www.webcitation.org/75jt17X84) International Registered Report Identifier (IRRID): RR2-10.1186/s12889-018-5790-1

12 November 2024 in Journal of Affective Disorders
Verified
Journal Article
Closed access
MPMengjia Pu
Mengjia Pu
LGLijie Guo
Lijie Guo
PCPeixia Cheng
Peixia Cheng
QGQi Gao
Qi Gao
HZHuiping Zhu
Huiping Zhu

Junjie HuaJunjie Hua
Junjie Hua
LZLingling Zhang
Lingling Zhang
DGDeyue Gao
Deyue Gao
YHYun Huang
Yun Huang
PNPeishan Ning
Peishan Ning
GHGuoqing Hu
Guoqing Hu
Background: Recent overweight and obesity prevalence data are lacking for China. Methods: Data were from provincially representative surveys conducted in 2013 and 2018 in Hunan Province, China. Overweight and obesity were defined according to the Chinese standard. Complex sampling weights were considered in statistical analyses. 95% confidence interval (95% CI) of rate was calculated. Results: The overall prevalence rate between 2013 and 2018 significantly increased from 20.81% (95% CI: 17.68–23.95) to 26.97% (95% CI: 23.48–30.45) for overweight and from 4.09% (95% CI: 3.21–4.96) to 7.13% (95% CI: 5.10–9.15) for obesity in Hunan Province of China, respectively. Urban residents and males had higher crude prevalence rates of overweight and obesity than rural residents and females in 2013 and in 2018. Notably, the peak age groups of overweight and obesity both became younger between 2013 and 2018. After controlling for Engel coefficient, level of education and frequency of physical exercise per week, the overweight prevalence significantly increased in urban males aged 65+ (adjusted OR: 1.52) and rural males aged 45–54 years (adjusted OR: 1.52) and 65+ (adjusted OR: 1.88) and the obesity prevalence rate rose significantly in many groups (urban males: 18–24 years, 25–34 years, 35–44 years and 55–64 years; urban females: 25–34 years, 35–44 years, 45–54 years; rural males: 18–24 years, 25–34 years; rural females: 35–44 years, 55–64 years), with adjusted OR varying from 1.56 to 5.52. Conclusion: The adult prevalence rates of overweight and obesity significantly increased between 2013 and 2018 in Hunan Province, China. The increasing prevalence rates and varying prevalence changes across groups warrantee further research and policy interventions.

23 December 2021 in Journal of Medical Internet Research
Verified
Journal Article
Open access
PNPeishan Ning
Peishan Ning
PCPeixia Cheng
Peixia Cheng
JLJie Li
Jie Li
MZMing Zheng
Ming Zheng
David SchwebelDavid Schwebel
David Schwebel
GHGuoqing Hu
Guoqing Hu
Background: Given the permeation of social media throughout society, rumors spread faster than ever before, which significantly complicates government responses to public health emergencies such as the COVID-19 pandemic. Objective: We aimed to examine the characteristics and propagation of rumors during the early months of the COVID-19 pandemic in China and evaluated the effectiveness of health authorities’ release of correction announcements. Methods: We retrieved rumors widely circulating on social media in China during the early stages of the COVID-19 pandemic and assessed the effectiveness of official government clarifications and popular science articles refuting those rumors. Results: We show that the number of rumors related to the COVID-19 pandemic fluctuated widely in China between December 1, 2019 and April 15, 2020. Rumors mainly occurred in 3 provinces: Hubei, Zhejiang, and Guangxi. Personal social media accounts constituted the major source of media reports of the 4 most widely distributed rumors (the novel coronavirus can be prevented with “Shuanghuanglian”: 7648/10,664, 71.7%; the novel coronavirus is the SARS coronavirus: 14,696/15,902, 92.4%; medical supplies intended for assisting Hubei were detained by the local government: 3911/3943, 99.2%; asymptomatically infected persons were regarded as diagnosed COVID-19 patients with symptoms in official counts: 322/323, 99.7%). The number of rumors circulating was positively associated with the severity of the COVID-19 epidemic (ρ=0.88, 95% CI 0.81-0.93). The release of correction articles was associated with a substantial decrease in the proportion of rumor reports compared to accurate reports. The proportions of negative sentiments appearing among comments by citizens in response to media articles disseminating rumors and disseminating correct information differ insignificantly (both correct reports: χ12=0.315, P=.58; both rumors: χ12=0.025, P=.88; first rumor and last correct report: χ12=1.287, P=.26; first correct report and last rumor: χ12=0.033, P=.86). Conclusions: Our results highlight the importance and urgency of monitoring and correcting false or misleading reports on websites and personal social media accounts. The circulation of rumors can influence public health, and government bodies should establish guidelines to monitor and mitigate the negative impact of such rumors.

30 April 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
PNPeishan Ning
Peishan Ning
DGDeyue Gao
Deyue Gao
PCPeixia Cheng
Peixia Cheng
David SchwebelDavid Schwebel
David Schwebel
XWXiang Wei
Xiang Wei
GHGuoqing Hu
Guoqing Hu
Background: With the growing popularity of mobile health technology, app-based interventions delivered by smartphone have become an increasingly important strategy toward injury prevention. Objective: This study aimed to develop a framework supporting the design of an app-based intervention to prevent unintentional injury, targeted for caregivers of Chinese children aged 0 to 6 years. Methods: A theory-based mixed-method study, including focus groups and Web-based quantitative survey, was performed. Adult caregivers who care for children aged 0 to 6 years and own a smartphone were recruited into 2 sequential stages of research. First, focus groups were conducted among the caregivers at community health care centers and preschools from December 2015 to March 2016. Focus groups (8-10 participants per group) explored awareness, experiences, and opinions of caregivers toward using an app to prevent unintentional injury among children. Second, based on the focus groups findings, a Web-based quantitative survey was designed and distributed to caregivers in November 2016; it collected information on specific needs for the app-based intervention. Thematic analysis and quantitative descriptive analyses were performed. Results: In total, 12 focus groups were completed, involving 108 caregivers. Most participants expressed a strong desire to learn knowledge and skills about unintentional child injury prevention and held positive attitudes toward app-based interventions. Participants expressed multiple preferences concerning the app-based intervention, including their contents, functions, interactive styles, installation and registration logistics, and privacy protection and information security. Following the focus groups, 1505 caregivers completed a WeChat-based quantitative survey, which generated roughly similar results to those of focus groups and added numerical metrics concerning participants’ preferences on what to learn, when to learn it, and how to learn it. A detailed framework was established involving 5 components: (1) content design, (2) functional design, (3) interactive style, (4) installation and registration logistics, and (5) privacy protection and information security, and 15 specific requirements. Conclusions: We developed a framework that can be used as a guide to design app-based interventions for parents and caregivers, specifically for unintentional injury prevention of children aged 0 to 6 years.