Jingya Zhang

Dr. Jingya Zhang

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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RZRuhao Zhang
Ruhao Zhang
YHYifei He
Yifei He
BWBincai Wei
Bincai Wei
YLYongbo Lu
Yongbo Lu
JZJingya Zhang
Jingya Zhang
Bin ZhuBin Zhu
Bin Zhu
Nasopharyngeal carcinoma (NPC) is an uncommon and aggressive malignant head and neck cancer, which is highly prevalent in southern and southwestern provinces in China. The aim of this study was to examine the disease burden and risk factors of nasopharyngeal carcinoma in China from 1990 to 2019 and to predict the incidence trends from 2020 to 2049. All data were extracted from the 2019 Global Burden of Disease (GBD) study. Joinpoint regression and age-period-cohort (APC) models were chosen to analyze prevalence trends. The temporal trends and age distribution of risk factors were also analyzed descriptively. Bayesian APC models were used to predict the prevalence from 2020 to 2049. The results indicate a higher disease burden in men and older adults. Their attributable risk factors are smoking, occupational exposure to formaldehyde, and alcohol use. We predict that the incidence will be on the rise in all age groups between 2020 and 2049, with the highest incidence in people aged 70 to 89 years. In 2049, the incidence rate is expected to reach 13.39 per 100,000 (50–54 years), 16.43 (55–59 years), 17.26 (60–64 years), 18.02 (65–69 years), 18.55 (70–74 years), 18.39 (75–79 years), 19.95 (80–84 years), 23.07 (85–89 years), 13.70 (90–94 years), and 6.68 (95+ years). The findings of this study might deserve consideration in China’s NPC prevention and control policy design.

24 April 2023 in Cancer Reports
Verified
Journal Article
Open access
JZJingya Zhang
Jingya Zhang
YLYongbo Lu
Yongbo Lu
NZNing Zhang
Ning Zhang
ZYZeru Yu
Zeru Yu
HLHaorao Li
Haorao Li
Bin ZhuBin Zhu
Bin Zhu
Background: Breast cancer is a widespread disease in women worldwide.Aim: We aimed to explore the global epidemiological trends of female breast cancer (FBC) between 1990 and 2044.Methods and Results: Disease burden, population, and socio‐demographic index (SDI) data were obtained from the Global Health Data Exchange (GHDx) database. We analyzed temporal trends, age differences, risk factors, and geographic patterns of FBC disease burden globally and explored the association between age‐standardized incidence rate (ASIR) of FBC and SDI. Bayesian age‐period‐cohort model was also performed to predict the changes in FBC incidence worldwide from 2020 to 2044. First, the global ASIR of FBC increased by 14.31% from 1990 to 2019 (95% Uncertainty Interval 4.75% to 23.98%). The death rate presented a falling trend. Second, alcohol use is the most‐highlighted risk factor for FBC in some high‐income regions such as Europe. A high fasting plasma glucose levels is the most prominent risk factor for FBC in Latin America and Africa. Third, the ASIR of the FBC increases with the SDI. Fourth, the incidence is expected to increase faster among women aged 35–60 years and fastest for those aged 50–54 years from 2020 to 2044. Countries with a high incidence of FBC that is expected to increase significantly include Barbados, Burkina Faso, Senegal, Monaco, Lebanon, Togo, and Uganda.Conclusion: The disease burden of FBC varies worldwide; the findings suggest attaching importance to the control of middle and low‐middle SDI regions. Public health as well as cancer prevention experts should pay more attention to regions and populations at an increased risk of developing FBC, focusing on their prevention and rehabilitation while conducting further epidemiological studies to investigate the risk factors of their increase.

21 April 2025 in JMIR Aging
Verified
Journal Article
Open access
HLHaoran Li
Haoran Li
JZJingya Zhang
Jingya Zhang
Ning ZhangNing Zhang
Ning Zhang
Bin ZhuBin Zhu
Bin Zhu
Digital twins—dynamic and real-time simulations of systems or environments—represent a paradigm shift in emergency medicine. We explore their applications across prehospital care, in-hospital management, and recovery. By integrating real-time data, wearable technology, and predictive analytics, digital twins hold the promise of optimizing resource allocation, advancing precision medicine, and tailoring rehabilitation strategies. Moreover, we discuss the challenges associated with their implementation, including data resolution, biological heterogeneity, and ethical considerations, emphasizing the need for actionable frameworks that balance innovation with data governance and public trust.

ZYZeru Yu
Zeru Yu
JZJingya Zhang
Jingya Zhang
YLYongbo Lu
Yongbo Lu
Ning ZhangNing Zhang
Ning Zhang
BWBincai Wei
Bincai Wei
YMYing Mao
Ying Mao
Musculoskeletal disorders are one of the three major disabling diseases in the world. However, the current disease burden in China is not well-known. This study aimed to explore the burden and risk factors of musculoskeletal disorders in China from 1990 to 2019, predicting the incidence trend from 2020 to 2044. All data were extracted from the Global Burden of Disease Study 2019 (GBD 2019). Joinpoint regression and age–period–cohort (APC) models were selected to analyze the epidemic trend, and descriptive analyses of the time trends and age distributions of risk factors were performed. The Bayesian APC model was used to foresee the incidence trend from 2020 to 2044. The results indicated that the burden of musculoskeletal disorders is higher in women and older adults. Its attributable risk factors were found to be tobacco, a high body mass index, kidney dysfunction and occupational risks. In 2044, musculoskeletal disorders in China showed a downward trend for 35–59-year-olds and a slight upward trend for 30–34- and 65–84-year-olds. The 70–74 year age group saw the largest increase in incidence at 4.66%. Overall, the incidence increased with age. Therefore, prevention and control policies should focus on women and the elderly, and health interventions should be carried out based on risk factors.

24 August 2022 in Healthcare
Verified
Journal Article
Open access
PDF file
JZJingya Zhang
Jingya Zhang
YLYongbo Lu
Yongbo Lu
HLHaoran Li
Haoran Li
Ning ZhangNing Zhang
Ning Zhang
RHRongxin He
Rongxin He
Bin ZhuBin Zhu
Bin Zhu
Lip and oral cavity cancer is a common malignancy faced by many developing countries, and the disease burden is high in China. This study explored this cancer burden and its risk factors using data from China in the GBD 2019, along with predicting the incidence trends in 2020–2049. Data on age-standardized rates (ASR), incidence, death and disability-adjusted life years (DALY), by sex, age and risk factors were collected from the Institute for Health Metrics and Evaluation (IHME). Joinpoint regression and Age–Period–Cohort (APC) models were selected to analyze the epidemic trend of this cancer in China, and descriptive analysis was used for the time trend and age distribution of risk factors. The Bayesian APC model was selected to foresee the incidence trend in 2020–2049. This cancer burden was found to be in an upward trend in China in 1990–2019. The upward trend was more pronounced among men than among women. These cancer deaths and DALYs are overwhelmingly attributable to smoking and drinking. On APC analysis, the younger generation in China demonstrated a lower cancer risk. In 2049, the incidence of this cancer is projected to be 3.99/100,000, 6.07/100,000, 7.37/100,000, 10.49/100,000, 14.82/100,000, 19.19/100,000, 20.71/100,000, 23.64/100,000, 16.42/100,000 and 9.91/100,000 among those aged 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, 80–84, 85–89, 85–89 and over 95 years, respectively. Disease control policies and early screening should focus on men and the elderly and target different risk factors.

1 January 2016 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
ZZZhenzhen Zhao
Zhenzhen Zhao
WPWu Peng
Wu Peng
XHXuejia Hu
Xuejia Hu
JZJingya Zhang
Jingya Zhang
MSMengqiao Shang
Mengqiao Shang
XCXUERONG CHEN
XUERONG CHEN