Liu jingjing Liu

Mr. Liu jingjing Liu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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21 September 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
LHLiyuan Han
Liyuan Han
TZTian Zhao
Tian Zhao
RZRuijie Zhang
Ruijie Zhang
YHYanhua Hao
Yanhua Hao
MJMingli Jiao
Mingli Jiao
MZMaigeng Zhou
Maigeng Zhou
From 1990 to 2019, the age-standardized incidence rate of nutritional deficiencies in China remained stable. However, the age-standardized disability-adjusted life-years (DALY) rate of nutritional deficiencies decreased from 1990 to 2019. Data were extracted from the GBD 2019 datasets. Estimated annual percentage changes (EAPCs) were calculated to assess the incidence rate, and DALY trends of nutritional deficiencies. Measures were stratified by subtypes, regions, and age groups. In 2019, the age-standardized DALY rates of dietary iron deficiency and protein-energy malnutrition reached their highest levels. The main population groups with protein-energy malnutrition and dietary iron deficiency were adults over the age of 70 and children under the age of five. The latter group also had a greater burden of vitamin A deficiency. Zhejiang, Beijing, and Guangdong reported the highest age-standardized incidence rates of nutritional deficiencies, which mainly pertained to protein-energy malnutrition and vitamin A deficiency. Tibet, Xinjiang, and Hainan had the highest age-standardized DALY rates of nutritional deficiencies, which mainly pertained to dietary iron deficiency and protein-energy malnutrition.

27 February 2024 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
RZRuiqian Zhuge
Ruiqian Zhuge
ARAdelina Ruzieva
Adelina Ruzieva
NCNa Chang
Na Chang
XWXing Wang
Xing Wang
XQXinye Qi
Xinye Qi
QWQunhong Wu
Qunhong Wu
Introduction: Emergency drills are critical practices that can improve the preparedness for crisis situations. This study aims to comprehend the evaluation of emergency drill effectiveness by the staff at the Centers for Disease Control and Prevention (CDC) in Heilongjiang Province, China. It identifies potential factors that could influence the personnel’s appraisal of outcomes throughout the emergency drill procedure.Methods: A cross-sectional survey was conducted among public health professionals from various CDCs in Heilongjiang, a northeastern Chinese province. The binary logistic regression analysis identified the factors associated with the CDC staff’s assessment of emergency drill efficacy, while the Interpretative Structural Modeling (ISM) elucidated the hierarchical structure among the influencing factors.Results: 53.3% (95% CI = 50.6–55.4) of participants perceived the emergency drills’ effectiveness as low. Binary logistic regression analysis revealed that the following adverse factors associated with the emergency drills increased the risk of a lower evaluation: lack of equipment and poor facilities (OR = 2.324, 95% CI = 1.884–2.867), poor training quality (OR = 1.765, 95% CI = 1.445–2.115), low leadership focus (OR = 1.585, 95% CI = 1.275–1.971), insufficient training frequency (OR = 1.539, 95% CI = 1.258–1.882), low skill in designing emergency drill plans (OR = 1.494, 95% CI = 1.180–1.890), lack of funding (OR = 1.407, 95% CI = 1.111–1.781), and poor coordination between departments (OR = 1.335, 95% CI = 1.085–1.641). The ISM revealed the hierarchical relationship of the influential factors, which were classified into three levels: Surface, Middle and Bottom. The Surface Level factors were training frequency, training quality, leaders’ focus, and inter-departmental coordination. The Middle Level factors were equipment availability and skill in designing emergency drill plans. The Bottom Level factor was funding guarantee.Discussion: This survey revealed that over half of the CDC staff rated the effectiveness of public health emergency drills as low. The Logistic-ISM Model results indicated that the evaluation of drill effectiveness was negatively influenced by insufficient facility and equipment support, financial constraints, lack of departmental coordination, and inadequate leadership attention. Among these factors, funding guarantee was the most fundamental one. Therefore, this calls for strategic decisions to increase funding for equipment, leadership training support, and effective emergency coordination.

28 December 2024 in Nutrients
Verified
Journal Article
Open access
PDF file
LLLiu jingjing Liu
Liu jingjing Liu
XQXinye Qi
Xinye Qi
RWRizhen Wang
Rizhen Wang
JZJunling Zhang
Junling Zhang
SLShaoke Lu
Shaoke Lu
QWQunhong Wu
Qunhong Wu
Background: There are few studies examining the physical developmental phenotypes of nutritional deficiency diseases (NDDs) among Chinese children aged 1–7 years by anthropometrics and clarifying the specific NDD categories that caused growth faltering. Methods: A total of 3054 cases of NDDs in children aged 1–7 years were investigated. The age, height, and weight of children with NDDs were adjusted by using the skewness coefficient–median–coefficient of variation method, and the results were compared with the WHO standardized level. Comparisons of specific categories of NDDs were performed with respect to the age-specific height standardized values (HAZ), the age-specific weight standardized values (WAZ), and the age-specific body mass index standard values (BAZ). Result: The subtypes of NDDs among Chinese children were mainly characterized by single and co-morbid deficiencies. Calcium deficiency, vitamin A deficiency, vitamin D deficiency, and vitamin B deficiency were the main types, accounting for 11.33%, 9.26%, 8.70%, and 6.29% of the total confirmed cases, respectively; protein–energy malnutrition combined with vitamin C deficiency was the most common type of combined nutrient deficiency (5.76%). The HAZ (−0.0002), WAZ (−0.0210), and BAZ (−0.0018) of children aged 1–3 years with NDDs was lower than the WHO standard (0), as were the HAZ (−0.0003), WAZ (−0.0219), and BAZ (−0.0019) of children aged 3–7 years. The anthropometrics of children with NDDs aged 1–7 years showed that the HAZ and BAZ were slightly lower than the WHO average level, whereas the WAZ was significantly different from the WHO average. The co-morbidity of vitamin A deficiency and vitamin D deficiency, calcium deficiency and vitamin C deficiency, vitamin D deficiency and vitamin C deficiency, and iodine deficiency and vitamin C deficiency were associated with the WAZ. Interpretation: The specific categories of NDDs consist mainly of calcium deficiencies, vitamin A deficiencies, and vitamin D deficiencies. The main signs of growth retardation were low weight and height, which were driven by the specific single and co-morbid micronutrient deficiencies.