Jinan City Research Articles

Groundwater vulnerability assessment of typical covered karst areas in northern China based on an improved COPK method

Karst in China is characterized by a wide distribution, diverse forms, well-developed features, and excellent preservation, making it a representative example on a global scale. The semi-arid karst in northern China, widely distributed in many provinces, has unique hydrogeological features, including covered karst, weak karst development, thick aquifers, highly interconnected fissure network, and numerous karst springs, making it difficult to directly apply the COP method which is widely used in karst groundwater vulnerability assessment in this area. Additionally, the quality of the karst groundwater in many northern China cities is facing a threat in recent years, making it urgent to evaluate the vulnerability of the karst groundwater. This study aims to develop an improved COPK method for the covered karst groundwater vulnerability assessment modified from the widely used COP method, and to use it in the Baotu Spring basin in Jinan City, as a typical representative of the covered karst area in northern China. The assessment result by the improved COPK method shows that most of the study area exhibits moderate to low karst groundwater vulnerability, and the area with very high to high vulnerability is situated in the Middle Ordovician-Upper Cambrian Chaomidian Formation limestone exposed area. The above results by the improved COPK method are more consistent with the hydrogeological conditions than those by the original COP method. A comparison of nitrate contamination map to the groundwater vulnerability map reveals the more efficient performance of the improved COPK method compared to the original COP method in vulnerability assessment of the typical covered karst areas in northern China. This paper can provide a reference for karst groundwater vulnerability assessment of covered karst areas in northern China, as well as other countries and regions with similar hydrogeological conditions, which can provide valuable support for groundwater pollution control efforts.

Evaluation of urban resilience based on Service-Connectivity-Environment (SCE) model: A case study of Jinan city, China

Resilience has become one of the main drivers for planning city future. However, there is currently no universally accepted definition and measurement of urban resilience. This study introduces and demonstrates a Service-Connectivity-Environment (SCE) model to evaluate urban resilience. First, this paper defines urban resilience based on existing research and presents a framework for urban resilience based on service, connectivity, and environment. Second, this study introduces a SCE model used to evaluate urban resilience. This paper presents an indicator system for urban resilience assessment with eight indicators. In contrast to previous urban resilience evaluation systems, the developed evaluation system is two-dimensional. One dimension is service, connectivity, and environment, and the other is basic and coordination. Service mainly refers to urban service facilities, connectivity mainly refers to transportation system, and environment mainly refers to the landscape of green space and water bodies. Third, as an illustrative example, apply the SCE model to Jinan, Shandong Province, China. The study focuses on the temporal and spatial characteristics of urban resilience in Jinan. The analysis provides initial evidence that the level of urban resilience in the SCE dimension of Jinan City varies, and the regional gap gradually increases during the study period. The SCE model provides a general and replicable approach to resilience assessment that can be implemented for a broader range of applications.

Composite Characteristic and Mechanism Analysis of Human Settlements in Jinan City Based on Demand Hierarchy Theory

The composition of human settlements is important to resolving urban issues, such as land shortage, and to rationally distributing human settlements and social resources. Based on the demand hierarchy theory, this paper comprehensively used the methods of location entropy, information entropy, and geographic detector to analyze the characteristics and driving mechanism of the specialization, composition, and compatibility of human settlements at all levels. (1) The composite characteristics of human settlements were influential; that is, clear concentration differences were found among various types of human settlements, with the specialization of primary human settlements having the highest concentration. The specialization of human settlements was characterized as center–periphery; that is, the centrality of basic and high-level human settlements was obvious and the discreteness of primary human settlements was obvious. (2) The spatial differences in the north–central–south compositions of human settlements were also influential. These spatial differences showed that the composite characteristics of the basic high-level and intermediate high-level human settlements were similar, and the composite features were weakly affected by the scale of the elements. (3) Furthermore, single human settlements were dominant, and the multi-level human settlements that were compatible with the comprehensive composite form were the primary form of expression. The interactions between the primary and other human settlements were relatively high. Finally, (4) the high-level human settlement elements and regional economic vitality were the dominant factors of the composite characteristic heterogeneity of human settlements. Residential self and social attributes have an impact on the diversity of their needs, and they interact with human settlements through human settlement elements. The results of the study are of great significance to the rational allocation of human settlements and the promotion of the composition of human settlements.

Genetic characterization and whole-genome sequencing-based genetic analysis of influenza virus in Jining City during 2021-2022.

The influenza virus poses a significant threat to global public health due to its high mutation rate. Continuous surveillance, development of new vaccines, and public health measures are crucial in managing and mitigating the impact of influenza outbreaks. Nasal swabs were collected from individuals with influenza-like symptoms in Jining City during 2021-2022. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect influenza A viruses, followed by isolation using MDCK cells. Additionally, nucleic acid detection was performed to identify influenza A H1N1, seasonal H3N2, B/Victoria, and B/Yamagata strains. Whole-genome sequencing was conducted on 24 influenza virus strains, and subsequent analyses included characterization, phylogenetic construction, mutation analysis, and assessment of nucleotide diversity. A total of 1,543 throat swab samples were collected. The study revealed the dominance of the B/Victoria influenza virus in Jining during 2021-2022. Whole-genome sequencing showed co-prevalence of B/Victoria influenza viruses in the branches of Victoria clade 1A.3a.1 and Victoria clade 1A.3a.2, with a higher incidence observed in winter and spring. Comparative analysis demonstrated lower similarity in the HA, MP, and PB2 gene segments of the 24 sequenced influenza virus strains compared to the Northern Hemisphere vaccine strain B/Washington/02/2019. Mutations were identified in all antigenic epitopes of the HA protein at R133G, N150K, and N197D, and the 17-sequence antigenic epitopes exhibited more than 4 amino acid variation sites, resulting in antigenic drift. Moreover, one sequence had a D197N mutation in the NA protein, while seven sequences had a K338R mutation in the PA protein. This study highlights the predominant presence of B/Victoria influenza strain in Jining from 2021 to 2022. The analysis also identified amino acid site variations in the antigenic epitopes, contributing to antigenic drift.

A Multi-Attribute Approach for Low-Carbon and Intensive Land Use of Jinan, China

This paper establishes an evaluation system based on the low-carbon intensive land use in Jinan city from 2010 to 2017 and uses a multi-attribute approach named grey fuzzy integral to build the evaluation model. In this model, based on the Mobius transformation coefficient of subjective and objective weights of index factors and the interaction degree between index factors, 2-additive fuzzy measures can be obtained; therefore, evaluation of low-carbon and intensive land use in Jinan city is processed by combining the grey correlation degree and Choquet fuzzy integral. The results show that in the study period, land input intensity, land use degree, land output benefit and land sustainability in Jinan city all show a good upward trend, but the low-carbon land use level of has been in a declining state. Although there is a good development trend of low-carbon and intensive land use in Jinan, the state is not stable. A Low-carbon and intensive land use pattern will not be achieved completely overnight, and it is bound to be a dynamic game process.

Liminalising and affectivising cityscape as a branding practice: a sociolinguistic ethnography in urban China

ABSTRACT The emerging ‘affective turn’ across different disciplines has demonstrated how affect serves as indispensable driving forces in the constitution of practices in social life. Against this backdrop, inspired by posthumanism, the materialisation of affect in the field of linguistic/semiotic landscape is still short on empirical backgrounds, especially in the urban context of China. In this article, by combining approaches of sensory ethnography and walking ethnography, I conducted a fieldwork in the ‘old commercial port area’, Jinan city, to investigate affective regimes of how affects are discursively organised and situated through different semiotic artefacts. Based on various ethnographic data including photographs and walking narrative interviews, the results showed that generic liminality and concrete liminal affects of ‘nostalgia' and ‘multilingualism-friendliness' are created and situated for branding the city’s new icons as a symbolic economy. During this process, multilingual, multimodal and multi-layered spatiotemporal resources are mobilised for reproducing and humanising cityscapes as commodified affective experiences. In doing so, the transformed urbanscapes radically subvert local and societal normalcies and cultivate citizen-consumers’ new perceptions, values and identities towards local heritage, multilingualism and global multiculturality. The intersections and interplays between language, psychosocial constitution of space, urbanisation, globalisation and authenticity are also proposed and discussed.

Spatial and temporal changes and development predictions of urban green spaces in Jinan City, Shandong, China

The study of long-term changes to urban green space reveals the reasons for changes in the spatial pattern of urban green space and predicts the future development trends, which is of great importance for urban green space protection and integrated urban development. This study used Markov Chain and PLUS models to explore the spatial and temporal patterns of changes to green space in urban and rural areas in Jinan City during recent rapid urbanization and the driving forces behind them. The results show that from 2000 to 2020, the decrease in urban green space in Jinan City slowed down gradually, and that elevation and population density were the primary factors influencing changes in urban green space. In the simulation projections, the ecologically protected development scenario had a relatively low rate of site change and was more protective of arable land and green space. Ecological conservation development was predicted to result in a decrease in unused urban land and to reflect the advantages of intensive land use. The findings will provide decision-makers with ideas related to the sustainable development of urban green space.

Evaluation of Urban Ecological Environment Quality Based on Improved RSEI and Driving Factors Analysis

Monitoring the quality of the urban ecological environment has become one of the important elements of promoting a sustainable urban development. The remote sensing ecological index (RSEI) provides a new research direction in urban ecological environment monitoring, combined with remote sensing. However, by using the principal component analysis method in RSEI, the calculation results are complicated and the workload is huge. To effectively assess the urban ecological environment, an improved remote sensing ecological index (IRSEI) was created to improve the ease of data use by using the entropy weighting method with spatiotemporal characteristics and seasonal variations. Furthermore, a geographically weighted regression model was used to quantify the impact of human activities on the urban ecological environment quality. The results showed that the IRSEI could provide a new method for monitoring the urban ecological environment quality, which makes the work easier while ensuring the validity of the results. It was concluded that (1) seasonal differences in the ecological quality of the study area were evident in the IRSEI model and the overall ecological environment quality of Jining City had been on an upward trend in the past 20 years; (2) the ecological quality in the study area was unevenly distributed spatially, with the southwestern part being better than the northeastern part, and the ecological grade being predominantly between moderate and good; and (3) the spatial aggregation effect of the IRSEI was increasing with time. The geographically weighted regression (GWR) revealed the influence of human activities on the ecological environment quality, among which economic level was positively related to ecological improvement, but the population density and night light index were negatively related to improvements in the ecological environment; road network density only showed a negative correlation in 2020. As Jining urbanizes, attention should be paid to protecting the built environment and population distribution.

A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data

Wind speed forecasting is the basis of wind farm operation, which provides a reference for the future operation status evaluation of wind farms. For the wind speed forecast of wind turbines in the whole wind farm, a strategy combining unified forecast and single site error correction is proposed in this paper. The unified forecast framework is composed of a unified forecast model and multiple single site error correction models, which combines the forecasted grids of numerical weather prediction (NWP) with the monitoring data of wind farms. The proposed unified forecast model is called spatiotemporal conversion deep predictive network (STC-DPN), which is composed of temporal convolution network (TCN) and 2D convolution long short-term memory network (ConvLSTM). Firstly, the NWP forecasted grids are interpolated to the fan location, and the sequence matrix is composed of the NWP data and the monitored data of each wind turbine according to the time series, which is entered into the TCN network for time sequence feature extraction. Then, the output of the TCN network is converted into a regular spatio-temporal data matrix, which is entered into the ConvLSTM network for joint learning of spatio-temporal features to obtain the wind speed sequence forecasted in the whole wind farm. Finally, an independent TCN-LSTM error correction model is added for each site. Variational modal decomposition (VMD) is used to process data series, and different processing methods are adopted in unified forecast and single site error correction. In the 96 steps forecast test of a wind farm from Jining City, China, the proposed method is superior to several baseline methods and has important practical application value.

Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China

Rapid urbanization has altered the regional hydrological processes, posing a great challenge to the sustainable development of cities. The TVGM-USWM model, a new urban hydrological model considering the nonlinear rainfall-runoff relationship and the flow routing in an urban drainage system, was developed in this study. We employed this model in the Huangtaiqiao drainage basin of Jinan City, China, and examined the impact of land cover changes due to urbanization on rainfall-runoff processes. Two urbanization scenarios were set up in the TVGM-USWM model during the design rainfall events with different return periods. Results showed that (1) the TVGM-USWM model demonstrated good applicability in the study area, and the RNS values of the flood events are all greater than 0.75 in both calibration and validation periods; (2) the proportion of impervious areas increased from 44.65% in 1990 to 71.00% in 2020, and urbanization played a leading role in the process of land cover change and manifested itself as a circular extensional expansion; and (3) urbanization showed a significant amplifying effect on the design flood processes, particularly for relatively big floods with small frequency, and the impact of urbanization on the time-to-peak of the design flood gradually decreased as the frequency of the design rainfall decreased. The results of this study can provide technical support for flood mitigation and the construction of a sponge city in Jinan City.

High prevalence of Escherichia coli co-harboring conjugative plasmids with colistin- and carbapenem resistance genes in a wastewater treatment plant in China.

Emergence and dissemination of resistance to last-resort antibiotics such as carbapenem and colistin is a growing, global health concern. Wastewater treatment plants (WWTPs) link human activities and the environment, can act as reservoirs and sources for emerging antibiotic resistance, and likely play a large role in antibiotic resistance transmission. The aim of this study was to investigate occurrence and characteristics of colistin- and carbapenem-resistant Escherichia coli (CCREC) in wastewater and sludge samples collected over a one-year period from different functional areas of an urban WWTP in Jinan city, Shandong, China. A total of 8 CCREC were isolated from 168 samples with selective agar and PCR, corresponding to high prevalence of 4.8%, co-harboring carbapenem resistance genes (blaNDM) and colistin resistance gene (mcr-1) and subsequently whole-genome sequenced. Additionally, all isolates were multidrug-resistant by antimicrobial susceptibility testing and carried a variety of antibiotic resistance genes. Two isolates carrying virulence genes associated with avian pathogenic E. coli were identified, one belonging to the high-risk clone O101:H9-ST167. Southern blotting was used to characterize CCREC isolates and plasmids carrying blaNDM-genes or mcr-1 could be transferred to a recipient strain E. coli J53 by in vitro conjugation assays. Resistance to other antibiotic classes were sporadically co-transferred to the transconjugant. Transposition of and mcr-1-carrying element from a transferable IncHI2-plasmid was observed among two CCREC clones isolated within 4 days of each other. The occurrence of multidrug-resistant CCREC capable of transferring their antibiotic resistance genotypes via conjugative plasmids is alarming. WWTPs bring bacteria from different sources together, providing opportunities for horizontal exchange of DNA among compatible hosts. Further dissemination of the colistin-, carbapenem-, or both colistin- and carbapenem resistant E. coli could lead to a serious threat to public health.

Genomic characterization of an Omono River virus isolated from Culex tritaeniorhynchus in eastern China

Omono River virus (OMRV) is a newly reported, unclassified RNA virus in the family Totiviridae, which infects mosquitoes and bats. In this study, we report the isolation of an OMRV strain SD76 from Culex tritaeniorhynchus captured in Jinan city, China. The cytopathic effect was characterized by cell fusion on C6/36 cell line. Its complete genome was 7611 nucleotides in length, with 71.4–90.4% similarities with other OMRV strains. Phylogenetic analysis based on complete genomes showed all OMRV-like strains can be divided into 3 groups with between-group distances ranging from 0.254 to 0.293. These results revealed that the OMRV isolate had high genetic diversity with those identified previously, and enriched the genetic information of family Totiviridae.

Ecological network construction and gradient zoning optimization strategy in urban-rural fringe: A case study of Licheng District, Jinan City, China

Ecological network construction and optimization is an effective way to balance the contradiction between regional development and ecological protection in the process of urbanization. The urban–rural fringe is both a frontier zone in the direction of urban expansion and an important space for improving the urban ecological environment. However, there are few studies on how to construct and optimize the ecological networks in urban–rural fringe. In this paper, the morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance model (MCR) were firstly employed to initially construct the ecological network and reveal the characteristics and problems of ecological security pattern in the study area. Then, a new ecological network optimization strategy with a multi-scenario coupling of urban–rural gradient spatial zoning was proposed to meet the maximization of integrated benefits of future urban development and ecological protection. The study results show that: (1) Urbanization caused a high fragmentation of ecological patches, and exerted a strong spatial hindrance to ecological processes. (2) The spatial distribution of the initially constructed ecological network was extremely uneven, and ecological communication in the north–south direction was severely difficult. The optimized ecological network was significantly improved in this respect, and the priority construction of important corridors will also help to strengthen ecological communication in the direction of urban–rural gradient. (3) The proposed optimization strategy improved the connectivity and accessibility of the ecological network in Licheng District, and enhanced its structure, which will promote the overall ecological process cycle and better balanced the urban development and ecological protection. (4) Policy makers should strengthen the construction and implementation of ecological green corridors and forest belts in urban–rural fringe to achieve a balance between urban development and ecological protection. This study can provide scientific references for biodiversity conservation, green infrastructure planning, and sustainable development in the process of urbanization.

Soil reconstruction and heavy metal pollution risk in reclaimed cultivated land with coal gangue filling in mining areas

Coal gangue filling reclamation is an important means to restore coal mining subsided cultivated land. However, coal gangue can release heavy metals, threatening the overlying soil environment. During the reconstruction of reclaimed mine soils (RMSs), soil properties evolve in a complex manner and influence the distribution of heavy metals, forming complex network relationships that differ from those of non-subsided cultivated soils (NCSs). It is difficult to determine the mechanism of RMS reconstruction and heavy metal accumulation and distribution by studying the trends of only a few variables. Complex network theory (CNT), however, can reveal the original internal characteristics and mechanisms of the system in a comprehensive and effective way. This study aimed at revealing the characteristics and mechanisms of soil reconstruction and heavy metal distribution in RMSs from a holistic perspective. Reclaimed cultivated land with coal gangue filling in high-groundwater-level mining areas in Jining City, Shandong Province, China, was selected for the study. First, soil samples were collected from depths of 0–20, 20–40, and 40–60 cm, and a total of 21 soil indicators were determined. Then, CNT was applied to explore the special soil property relationships and key factors in the RMS reconstruction process. Finally, the intrinsic mechanism of RMS reconstruction and heavy metal distribution was revealed by comparison with NCSs. The results showed that coal gangue filling reclamation and reconstruction activities led to increases in bulk density (BD), decreases in nutrients, and the accumulation of heavy metals. These activities also changed the relationship strength and cooperation efficiency among soil properties. BD reduction due to soil aggregate recovery increased microbial activity and accumulated organic carbon and nutrients, which became essential for RMS recovery. The filled coal gangue became a new source of heavy metals for the RMSs, with water-dissolved colloids acting as carriers of the heavy metals.

Monitoring Impervious Surface Area Dynamics in Urban Areas Using Sentinel-2 Data and Improved Deeplabv3+ Model: A Case Study of Jinan City, China

Timely and rapidly mapping impervious surface area (ISA) and monitoring its spatial-temporal change pattern can deepen our understanding of the urban process. However, the complex spectral variability and spatial heterogeneity of ISA caused by the increased spatial resolution poses a great challenge to accurate ISA dynamics monitoring. This research selected Jinan City as a case study to boost ISA mapping performance through integrating the dual-attention CBAM module, SE module and focal loss function into the Deeplabv3+ model using Sentinel-2 data, and subsequently examining ISA spatial-temporal evolution using the generated annual time-series ISA data from 2017 to 2021. The experimental results demonstrated that (a) the improved Deeplabv3+ model achieved satisfactory accuracy in ISA mapping, with Precision, Recall, IoU and F1 values reaching 82.24%, 92.38%, 77.01% and 0.87, respectively. (b) In a comparison with traditional classification methods and other state-of-the-art deep learning semantic segmentation models, the proposed method performed well, qualitatively and quantitatively. (c) The time-series analysis on ISA distribution revealed that the ISA expansion in Jinan City had significant directionality from northeast to southwest from 2017 to 2021, with the number of patches as well as the degree of connectivity and aggregation increasing while the degree of fragmentation and the complexity of shape decreased. Overall, the proposed method shows great potential in generating reliable times-series ISA data and can be better served for fine urban research.

Fight back against the stress: The effects of parental job insecurity on career networking behaviors of emerging adults.

This study investigates whether and how parental job insecurity motivates emerging adults' career networking behaviors. Using the framework of ecological system theory, we particularly focus on the sequential mediating role that overparenting behavior and emerging adults' intolerance of uncertainty could play. We recruit 741 fresh undergraduates (63.2% females) and their parents from the city of Jinan, Province Shandong in China. All of the participants are between the ages of 17 and 20 years. We apply a structural equation model using data obtained from multiple sources (i.e., fathers, mothers, and their children) at two time points to test our research model. The results from the structural equation model support the spillover effect of paternal and maternal job insecurity on overparenting behavior. Overparenting is significantly related to emerging adults' intolerance of uncertainty. In turn, emerging adults' intolerance of uncertainty is positively associated with their career networking behavior. The results also support the indirect effect, which demonstrates that parental job insecurity indirectly leads to emerging adults' career networking behavior via overparenting behavior and emerging adults' intolerance of uncertainty. This study builds on and extends existing research on parental job insecurity and career networking behavior by systematically bringing together the streams of research on youth development and organizational behavior. Specific theoretical implications and limitations are discussed as well.

Exploring the relationship between seasonal variations of land surface temperature and urban morphological factors in complex urban areas.

The urban heat island effect is an increasingly serious problem in urban areas. Previous studies suggest that spatial variation in the urban land surface temperature (LST) is determined by interactions among urban morphological factors, but few studies have explored the main factors that affect the LST in different seasons in complex urban areas, especially at a fine scale. By considering the central Chinese city of Jinan as an example, we selected 19 parameters related to the architectural morphological factors, ecological basis factors, and humanistic factors and explored their effects on the LST in different seasons. A correlation model was used to identify the key factors and to analyze the main impact thresholds in different seasons. In the four seasons, the 19 factors all had significant correlations with LST. In particular, architectural morphological factors comprising the average building height and high building ratio had significant negative correlations with the LST in the four seasons. The architectural morphological factors comprising the floor area ratio, spatial concentration degree, building volume density, and urban surface pattern index comprising the mean nearest neighbor distance to green land, as well as humanistic factors comprising the point of interest density, nighttime light intensity, and human activity intensity of land surface had significant positive correlations with LST in the summer and autumn. Ecological basis factors made the main contributions to the LST in the spring, summer, and winter, whereas humanistic factors contributed the most in the autumn. The contributions of architectural morphological factors were relatively low in the four seasons. The dominant factors differed in each season but their thresholds had similar characteristics. The results obtained in this study deepen our understanding of the relationships between urban morphology and the urban heat island effect, and provide practical suggestions for improving the urban thermal environment through reasonable building planning and management.

The House Price Prediction Using Machine Learning Algorithm: The Case of Jinan, China

House prices increase substantially in China from 1998. Because of expensive house prices, most Chinese people have only one chance to select suitable houses. Therefore, building a house price prediction model based on housing conditions is significant for customers to make decisions. This paper collects the estate market data of Jinan city from the HomeLink website and performs several feature selection algorithms to get critical features for house price prediction. The paper compares the classical machine learning methods for the problem, including Multiple Linear Regression, Random Forest, and Catboost. After cross-validation tests, the CatBoost, algorithm with the lowest Mean Square Error (MSE) is regarded as the most accurate algorithm to predict house prices. The analytic results show that the house price is dominated by the location features such as area and block.

Association between Organophosphate Ester Exposure and Insulin Resistance with Glycometabolic Disorders among Older Chinese Adults 60-69 Years of Age: Evidence from the China BAPE Study.

Organophosphate esters (OPEs) are common endocrine-disrupting chemicals, and OPE exposure may be associated with type 2 diabetes (T2D). However, greater knowledge regarding the biomolecular intermediators underlying the impact of OPEs on T2D in humans are needed to understand biological etiology. We explored the associations between OPE exposure and glycometabolic markers among older Chinese adults 60-69 years of age to elucidate the underlying mechanisms using a multi-omics approach. This was a longitudinal panel study comprising 76 healthy participants 60-69 years of age who lived in Jinan city of northern China. The study was conducted once every month for 5 months, from September 2018 to January 2019. We measured a total of 17 OPEs in the blood, 11 OPE metabolites in urine, and 4 glycometabolic markers (fasting plasma glucose, glycated serum protein, fasting insulin, and homeostatic model assessment for insulin resistance). The blood transcriptome and serum/urine metabolome were also evaluated. The associations between individual OPEs and glycometabolic markers were explored. An adverse outcome pathway (AOP) was established to determine the biomolecules mediating the associations. Exposure to five OPEs and OPE metabolites (trimethylolpropane phosphate, triphenyl phosphate, tri-iso-butyl phosphate, dibutyl phosphate, and diphenyl phosphate) was associated with increased levels of glycometabolic markers. The mixture effect analysis further indicated the adverse effect of OPE mixtures. Multi-omics analyses revealed that the endogenous changes in the transcriptional and metabolic levels were associated with OPE exposure. The putative AOPs model suggested that triggers of molecular initiation events (e.g., insulin receptor and glucose transporter type 4) with subsequent key events, including disruptions in signal transduction pathways (e.g., phosphatidylinositol 3-kinase/protein kinase B and insulin secretion signaling) and biological functions (glucose uptake and insulin secretion), may constitute the diabetogenic effects of OPEs. OPEs are associated with the elevated risk of T2D among older Chinese adults 60-69 years of age. Implementing OPE exposure reduction strategies may help reduce the T2D burden among these individuals, if the relationship is causal. https://doi.org/10.1289/EHP11896.

Construction of an evaluation system for medical staff’s occupational protection ability based on knowledge, attitude, and practice theory, and a cross-sectional survey of current conditions

IntroductionMedical personnel should be in close proximity and high frequency of contact with patients, and be exposed to physical, biological and chemical risk factors for a long time. The incidence of various occupational exposures is high. however, there is still a lack of the medical staff Occupational Protection Core Competence Evaluation Index system with high reliability and validity.AimBased on the theory of knowledge, attitude, and practice, the evaluation system of occupational protection ability of medical personnel was established, and the current situation of occupational protection ability of medical personnel at different levels was investigated, so as to take targeted training and intervention measures to improve the occupational protection ability of medical personnel and reduce the incidence of occupational exposure.MethodsBased on the knowledge, attitude, and practice theory, the index system of occupational protection core competence of medical personnel was initially constructed by literature retrieval, expert consultation, group discussion, semi-structured interview and other qualitative and quantitative methods, and the reliability and validity of the index system was tested by Delphi expert consultation method. By convenient cluster sampling method, from March to September 2021, the current status of occupational protection core competence of medical personnel was investigated among medical staff from one Class III Grade A hospital and two medical schools in Jinan City, Shandong Province, China.ResultsThe evaluation system for medical staff’s occupational protection ability included 3 first-level indexes, 11 second-level indexes, and 109 third-level indexes. A total of 684 valid questionnaires were collected from Grade III, Class A hospital medical staff and two medical school students in clinical practice in Shandong, China. Kruskal Walls test showed that there were significant differences in the overall distribution of occupational protection knowledge, attitude, and practice among registered nurses, nursing students, registered physicians, and physician students (H = 70.252, P < 0.001; H = 76.507, P < 0.001; H = 80.782, P < 0.001); there were statistical significance in the knowledge/ attitude/ practice of nursing and physician students at different levels (H = 33.733, P < 0.001; H = 29.158, P < 0.001; H = 28.740, P < 0.001).ConclusionThe results of the evaluation system for the medical staff’s occupational protection ability are reliable and can provide a reference for training the medical staff’s occupational protection ability. Managers should strengthen the training of theoretical knowledge of occupational protection ability of medical staff.