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1.
Phys Chem Chem Phys ; 2020 Jan 08.
Artigo em Inglês | MEDLINE | ID: mdl-31912822

RESUMO

Herein, we propose a new approach of molecule occupancy via a vapor treatment to facilitate the conversion of PbI2 to perovskite in sequential deposition. We have shown that the morphology of PbI2 and the subsequent crystallization of perovskite can be effectively tuned, thus leading to the elimination of residual PbI2 and promotion of perovskite growth.

2.
J Gastrointestin Liver Dis ; 28(4): 397-404, 2019 Dec 09.
Artigo em Inglês | MEDLINE | ID: mdl-31826062

RESUMO

BACKGROUND AND AIMS: Endoscopic submucosal dissection (ESD) has become a standard treatment for early gastric neoplasia. However, as the upper and middle body of the greater curvature has a rich vasculature and submucosal fibrosis, ESD of neoplasia in these locations requires a specific strategy. We aimed to investigate the efficacy and safety of the J-shaped superficial cutting and splashed submucosal dissection (JSCS) technique for neoplasia of the greater curvature by comparing ESD using JSCS with conventional ESD. METHODS: Twenty-two patients who underwent ESD for gastric neoplasia affecting the upper and middle body of the greater curvature were divided into two groups for retrospective analysis. Nine patients underwent conventional ESD (c-Group), while 13 underwent ESD with JSCS (j-Group). Primary outcome was the en bloc resection rate. Secondary outcomes included complete resection (R0) rate, procedure time, perforation rate, total bleeding time, and the total number of massive bleeding events and of hemostatic forceps times applied during ESD. RESULTS: There were no significant differences between both groups (c-Group vs j-Group) in en bloc resection rate, or R0 resection rate. Compared with the c-Group, the j-Group tended to have a decreased mean procedure time (mean 133 minutes vs 74 minutes, p=0.11) and perforation rate (11% vs 0%, p=0.41). Compared with the c-Group, the j-Group had significantly fewer bleeding incidents (13.4 times vs 6.6 times, p=0.0095), shorter total bleeding time (17.6 min vs 7.4 min, p=0.036), and fewer usages of hemostatic forceps (6.3 times vs 2.4 times, p=0.026) during ESD. CONCLUSION: Endoscopic submucosal dissection with JSCS is superior to conventional ESD, as it reduces intraprocedural bleeding. This technique has the potential to become the standard strategy for neoplasia affecting the upper and middle body of the greater curvature.

3.
Nanoscale ; 2019 Dec 12.
Artigo em Inglês | MEDLINE | ID: mdl-31829376

RESUMO

Intercalation has proven to be a powerful strategy for physical and chemical property modulation in two dimensional (2D) van der Waals (vdW) materials. Traditional gaseous and chemical intercalation methods offer the ability for mass production, and the electrochemical method provides reversible fine tuning for in situ material investigation. Spatial control, or even direct patterning, of ions is widely required for practical device fabrication and integration; yet it is not realized. Here we demonstrate a self-driven ion (Co2+, Sn4+, and Cu2+) intercalation approach with patterning ability on vdW α-MoO3. It is proved that the self-driven intercalation was enabled by the formation of a local galvanic cell and could be controlled by the metal electrode potential and the solution concentration. The universality of self-intercalation was confirmed in various types of 2D materials (MoS2, WS2, MoSe2, WSe2 and graphene). Furthermore, the feasibility of building heterostructures by multiple species (Sn & Co) intercalation in a single nanosheet was demonstrated for broadband photodetection. The enhancement of conductivity and photoresponse was found to be due to the synergistic effect of lattice distortion from Sn intercalation and the d orbital from the Co atom. This approach offers a feasible way for direct nano-fabrication in 2D vdW material and functional device integration.

4.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4073-4077, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872678

RESUMO

Taking the Xiushui township of Baisha county in Hainan province as the research area,the random forest algorithm with obvious advantages in feature selection and classification extraction was used to extract the information of the Callicarpa nudiflora planting in the study area. Firstly,four kinds of different characteristic variables were generated based on World View-3 data,including spectral features,principal component features,vegetation index and texture features. Secondly,the spatial distribution of the C. nudiflora in the study area was extracted by remote sensing by random forest classification algorithm. Finally,the feature space of the random forest classification algorithm was optimized based on the feature importance to obtain the best random forest classification results,and this result is compared with the classification result of the random forest algorithm of the unoptimized feature space. The results showed that:①The overall accuracy of the C. nudiflora extracted by World View-3 image was 89. 97%,and the Kappa coefficient was 0. 84,which indicates that the random forest algorithm had higher classification accuracy and better applicability in Hainan C. nudiflora recognition.② The overall accuracy of extracting C. nudiflora with the dimension reduction feature was 90. 4,and the Kappa coefficient was 0. 85,which indicates that the random forest algorithm can effectively select features. At the same time as the feature variable data mining,the precision of the information extraction of the C. nudiflora was still guaranteed,and the operation efficiency was improved. This study provides a new idea,method and technical means for information extraction of cultivated medicinal plant resources in terms of feature selection and method selection.


Assuntos
Callicarpa , Plantas Medicinais , Algoritmos
5.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4078-4081, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872679

RESUMO

In order to solve the problem of manual area measurement,the traditional methods of medicinal planting area statistics are difficult to meet the needs of rapid area survey application. This paper uses the UAV remote sensing method with the advantages of unmanned,automatic,high efficiency,high score and short production cycle to monitor the shape of Callicarpa nudiflora. A solution for aerial photography,image data acquisition and data processing of drones were designed for characteristics and planting conditions. After data processing and statistical analysis,detailed information on the location and area of the C. nudiflora in the target area was obtained. Then the accuracy comparison analysis was carried out with the measured results of the C. nudiflora. The results show that the UAV is feasible for the monitoring of C. nudiflora,and has a good application prospect in the monitoring of Chinese herbal medicine planting.


Assuntos
Callicarpa , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , Fotografação
6.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4090-4094, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872681

RESUMO

The dried roots of Panax ginseng are used as medicines. In this paper,multi-time satellite sensing image data are used for image registration by radiometric correction,atmospheric pressure correction,the data of different years were compared. The multiscale segmentation of the sensing image was successively carried out by using object-oriented method. Combining with the characteristics of the sensing image participated in the field survey,the objective was to understand the speckles of the environmental parameters distribution map of Changbai county in 2017 and 2018. The parameter area of Changbai county was calculated by using GIS spatial analysis tools. The union,erase and intersect tools of " analysis to OLS" overlay in " Arc Toolbox" were used to analyze the parametric area of Changbai county from 2017 to 2018. The results showed that the parameter area of Changbai county in 2017 was 27 400 mu( 1 mu≈667 m2),and the parameter area in 2018 was 13 900 mu. The parameter area of the new park in Changbai County in 2018 was 12 500 mu,and the harvested area in 2017 was 27 000 mu. Through the analysis and study of the regional change of the park participating in the training area,it has significance for guiding the park participating in the actual production planning and layout in Changbai county in the next step.


Assuntos
Panax , Tecnologia de Sensoriamento Remoto , Jardins
7.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4095-4100, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872682

RESUMO

The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.


Assuntos
Altitude , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Tecnologia de Sensoriamento Remoto , Recursos Naturais , Máquina de Vetores de Suporte
8.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4101-4106, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872683

RESUMO

In order to comprehensively monitor the dynamic change of Paeonia lactiflora planting area,the investigation of P. lactiflora planting area in Dangshan was carried out. It can provide reference for the planting detection of P. lactiflora in Huaibei Plain.Based on remote sensing technology,this paper extracts the planting area of P. lactiflora in Dangshan in 2018 by using the minimum distance method,maximum likelihood method,parallel hexahedron method and Mahalanobis distance method,using the remote sensing image of ZY-3 Satellite as the data source,and makes a comparative analysis with the results. The results show that the maximum likelihood method is better than the other three methods. This method can provide reference for remote sensing monitoring of P. lactiflora planting area in China.


Assuntos
Paeonia , Tecnologia de Sensoriamento Remoto , China
9.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4107-4110, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872684

RESUMO

Moutan Cortex is one kind of famous medicinal materials. The dry root bark of Paeonia ostii which is a genuine medicinal material produced in Tongling,Anhui province,and later was introduced to Heze,Shandong province and Bozhou,Anhui province.Dangshan county is located at the northern end of Anhui province and adjacent to Shandong province. Its medicinal seedlings were came from Heze,Shandong province. At present,there is a lack of scientific investigation on the planting area of P. ostii in north China plain. On the basis of field investigation and remote sensing technology,through the data source provided by the remote sensing image of " Resources 3"( ZY-3),combined with the biological characteristics of P. ostii,the planting area of P. ostii in Dangshan county was extracted by field investigation and supervisory classification. The supervise classification method with the highest interpretation accuracy so far,the overall accuracy was 97. 81%,Kappa coefficient 0. 96. The results showed that the remote sensing classification method based on the maximum likelihood classification could extract P. ostii plots in the study area effectively. This study provides a scientific basis for the protection and rational utilization of traditional Chinese medicine resources,the development policy of traditional Chinese medicine industry and the long-term development plan in Dangshan county,and provides technical support for the poverty alleviation of traditional Chinese medicine industry in Dangshan county. It provides scientific reference for the application of remote sensing technology to investigate the planting area of P. ostii in in north China plain.


Assuntos
Medicina Tradicional Chinesa , Paeonia , Tecnologia de Sensoriamento Remoto , China
10.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4111-4115, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872685

RESUMO

The planting area of Chinese medicinal materials is an important basis for formulating policies such as production and poverty alleviation of Chinese medicinal materials and is determining the quantity of medicinal materials trade. Accurately mastering the information of the distribution,area and yield of Chinese medicinal materials cultivation is the basis of the adjustment of the planting structure of traditional Chinese medicine. It is now the largest planting place of Mongolian traditional Chinese medicinal materials in Naiman banner that is belonging to Tongliao city,Inner Mongolia. It is of great significance to obtain the planting area of Mongolian Chinese medicinal materials in Naiman banner in time and effectively for the development of subsequent industries. In this study,Saposhnikovia divaricata,a medicinal plant planted in Naiman banner,was selected as an example,and the fusion 2 m resolution ZY-3 remote sensing image was used as the data source. Based on the ground survey data,the sample data of each typical ground object were selected,and the spectral characteristic curves of different ground objects were obtained,and the S. divaricata spectral information was obtained. Using the filtering texture analysis method based on probability statistics,five kinds of texture image display results under different texture filtering were compared and analyzed,and finally the S. divaricata texture features based on information entropy are determined. The distribution range and planting area of S. divaricata in Naiman banner were extracted and interpreted by using the texture and spectral information of remote sensing images. The results showed that: S. divaricata was mainly distributed in the northeast and central south of Naiman banner,and the planting area was 5 336 mu( 1 mu≈667 m2). The field verification data were in good agreement with the remote sensing interpretation results,and the difference was small. It shows that the combination of spectral information and texture information can realize the discrimination of S. divaricata,and the interpretation results can provide a reference for the county to formulate the poverty alleviation action of Chinese medicinal material industry and the economic development plan of agricultural producing areas.


Assuntos
Apiaceae , Medicina Tradicional Chinesa , Plantas Medicinais , Agricultura , China
11.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4116-4120, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872686

RESUMO

With digital satellite remote sensing image data of GF-1,in 2018 the object-oriented classification method was used to extract Zizyphus jujuba planting area in Jia county of Shaanxi province. The results showed that the remote sensing classification method based on rule set could extract and reckon Z. jujube planting area in the study area effectively. The planting area of Z. jujube in Jia county was about 5. 34×104 hm2 and the area of consistent accuracy was 97. 92%. The method used in this study could provide a technical reference for the area extraction of the same type of medicinal materials. And it is of great significance to provide decision support for the protection and utilization of Z. jujube resources.


Assuntos
Ziziphus , Agricultura , China , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa
12.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4121-4124, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872687

RESUMO

Due to the large amount of Codonopsis pilosula planted in Weiyuan county,and the arable land area,the local medicinal materials office uses a large amount of manpower,financial resources and material resources to estimate its area every year. In order to extract the information of local Chinese medicinal materials more quickly and simply,we try to apply remote sensing technology to the extraction of Chinese medicinal materials. This paper will use Weiyuan county of Gansu province as the research area,and use the domestic ZY-3 Satellite multi-spectral remote sensing image as the data source to find out the spectral characteristics of the party's participation in other remote sensing images. The visual interpretation method was used to extract the planting area of the C. pilosula in Weiyuan county. The estimated value of the planting area of C. pilosula using satellite remote sensing technology was 75 965 mu( 1 mu≈667 m2),which was basically consistent with the field survey data of the local medicinal materials office. After the accuracy verification,it was found that the precision of C. pilosula planted by visual interpretation was more than 70%. It is concluded that the satellite remote sensing technology can be used to extract the information of C. pilosula and it can provide the relevant information of the planting area of Chinese medicinal materials quickly and accurately.


Assuntos
Codonopsis , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , China
13.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4125-4128, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872688

RESUMO

Due to the large amount of nutrients required during the cultivation of Angelica sinensis and in order to prevent the occurrence of pests and diseases,and the annual reduction of the planting area of Angelica and the balance of supply and demand of A. sinensis,the A. sinensis plantation adopts the rotation mode. This paper takes Wuyuan county of Gansu province as the research scope and use GF-1 Satellite data as the data source,using remote sensing technology combined with field survey results,to explore the effective method of visual interpretation for the extraction of A. sinensis planting area. A sample was selected to generate a spectrum according to different feature types. The different characteristics of A. sinensis and other features were analyzed and distinguished in remote sensing images,so that the A. sinensis planting plots were extracted and verified in remote sensing images. The results showed that the accuracy verification value of the visual interpretation method was 95. 85%. It is determined that the visual interpretation method can effectively extract the A. sinensis planting plots within the research scope and realize the comprehensive grasp of the spatial distribution information of A. sinensis.


Assuntos
Angelica sinensis , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , China
14.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4129-4133, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872689

RESUMO

Traditional Chinese medicine is planted in mountainous areas with suitable natural conditions. The planting area is complex in terrain,and the planting plots are mostly irregularly shaped. It is difficult to accurately calculate the planting area by traditional survey methods. The method of extracting Chinese herbal medicine planting area combined with remote sensing and GIS technology is of great significance for the rational development and utilization of traditional Chinese medicine resources. Taking Bletilla striata planting in Ningshan county of Shaanxi province as an example,the extraction method of planting area of traditional Chinese medicine in county was studied. High-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing images were used as data sources. Through field sampling,samples such as B. striata,cultivated land,forest land,water body,artificial surface,alpine meadow,etc. are collected. The spectral features,texture features and shape features of remotely identifiable objects in different planting areas and cultivated land,vegetable sheds were analyzed,confusing ground objects were eliminated and interpretation marks were establish. The method of visual interpretation is used to realize the extraction of B. striata planting areas,and the B. striata planting area are calculated by combining GIS technology. The results showed that the method of visual interpretation,using high-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing image data extracted the planting area of 403.05 mu. It can effectively extract the B. striata planting area in research region.


Assuntos
Medicina Tradicional Chinesa , Orchidaceae , Tecnologia de Sensoriamento Remoto , Florestas
15.
Opt Express ; 27(23): 34067-34078, 2019 Nov 11.
Artigo em Inglês | MEDLINE | ID: mdl-31878463

RESUMO

We report a high-resistivity silicon (HR-Si) prism coupled terahertz (THz) spoof surface plasmon polaritons (SSPPs) on flat subwavelength metasurface. Using a high refractive index prism as an external coupler, a more tightly confined SSPPs mode can be excited in a smaller resonant cavity, leading to strong light-matter interaction. Besides, theoretical analysis and experimental results have both indicated that the SSPPs resonance response to the filling patterns of analyte in the resonant cavity are quite different. In particular, we have found that the interaction between analyte and SSPPs wave can be maximized when the analyte filled with the whole resonant cavity and a higher sensitivity for THz sensing can be obtained. A high sensitivity varied from 0.31 THz/RIU to 0.85 THz/RIU is predicted. Furthermore, these SSPPs modes exhibit high Q-factor, and characteristic spectra of water caused by surface plasmon resonance (SPR) are observed, which is significant in promoting the THz-SPR sensing of polar liquids or aqueous analytes with THz metasurfaces.

16.
Tree Physiol ; 2019 Dec 20.
Artigo em Inglês | MEDLINE | ID: mdl-31860707

RESUMO

WRKY transcription factors, one of the largest transcription factor families, play important roles in regulating the synthesis of secondary metabolites. In sweet osmanthus (Osmanthus fragrans), the monoterpenes have been demonstrated as the most important volatile compounds, and the W-box, which is the cognate binding site of WRKY transcription factors could be identified in most of terpene synthesis related genes' promoters. However, the role of the WRKY family in terpene synthesis in sweet osmanthus has rarely been examined. In this study, 154 WRKY genes with conserved WRKY domain were identified and classified into three groups. The group II was further divided into five subgroups and almost all members of IId contained a plant zinc cluster domain. Eight OfWRKYs (OfWRKY7/19/36/38/42/84/95/139) were screened from 20 OfWRKYs for their flower-specific expression patterns in different tissues. Simultaneously, the expression patterns of OfWRKYs and emission patterns of volatile compounds during the flowering process were determined and GC-MS results showed that monoterpenes, such as linalool and ocimene, accounted for the highest proportion, contributing to the floral scent of sweet osmanthus in two cultivars. In addition, correlation analysis revealed the expression patterns of OfWRKYs (OfWRKY7/19/36/139) were each correlated with distinct monoterpenes (linalool, linalool derivatives, ocimene, and ocimene derivatives). Subcellular localization analysis showed that p35S::GFP-OfWRKY7/38/95/139 were localized in the nucleus and OfWRKY139 had very strong transactivation activity. Collectively, the results indicated potential roles of OfWRKY139 and OfWRKYs with plant zinc cluster domain in regulating synthesis of aromatic compounds in sweet osmanthus, laying the foundation for use of OfWRKYs to improve aroma of ornamental plants.

17.
Blood Press ; : 1-10, 2019 Nov 13.
Artigo em Inglês | MEDLINE | ID: mdl-31718311

RESUMO

Purposes: Many studies have indicated that orthostatic hypotension (OH) may be a risk factor for dementia and stroke, but the results have been inconsistent. To further ascertain the links between OH and cognition or stroke, a meta-analysis was performed.Methods: The Chinese Biomedical Database, PubMed, Web of Science, and the Cochrane Library database were searched (up to March 2019) to identify prospective cohort studies that examined the associations between OH and the risks of stroke and dementia among adult populations. Subgroup analyses and meta-regression analyses were conducted to identify sources of heterogeneity. We also performed Begg's test and Egger's test to assess publication bias.Results: A total of 3490 articles were identified, and 18 prospective observational cohort studies were ultimately included. Among these studies, eight prospective studies were about stroke, nine studies were about cognition and one study reported data about both stroke and dementia. Meta-analysis revealed an association between OH and worse cognition (hazard ratio (HR): 1.18, 95% confidence interval (CI): 1.03-1.35, I2 = 69.5%). For dementia, the pooled HR was 1.30, with 95% CI: 1.14-1.48, I2 = 31.0%. In addition, we found that OH was associated with a higher risk of stroke (HR: 1.36, 95% CI = 1.17-1.57, I2 = 67.3%). No publication bias was detected.Conclusion: This meta-analysis provides evidence that OH was associated with worse cognition. OH accounted for a 30% increase in the risk of dementia and a 36% increase in the risk of stroke.

19.
J Clin Periodontol ; 2019 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-31697412

RESUMO

OBJECTIVE: To evaluate the association between periodontitis and the incidence and mortality of gastrointestinal cancer. METHOD: A comprehensive literature search was conducted to identify all relevant studies published prior to April 2019 according to the established inclusion criteria. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated with a random-effects model. RESULTS: We identified 10 studies with 26 estimates of the relationship between periodontitis and gastrointestinal cancer. The HR for the incidence of gastrointestinal cancer in periodontitis was 1.23 (95% CI: 1.10-1.37). Subgroup analyses showed that periodontitis was associated with an increased risk of gastrointestinal cancers in prospective cohort studies and high-quality studies, North American individuals, and individuals 18 years or older, as well as when the dental status was self-reported and when the study was adjusted for smoking. A meta-analysis of nine reports demonstrated that periodontitis was associated with increased mortality from gastrointestinal cancer (HR = 1.59, 95% CI: 1.16-2.16). Additionally, periodontitis was associated with mortality from pancreatic cancer (HR = 2.20, 95% CI: 1.44-3.37); thus, periodontitis may be a risk factor for pancreatic cancer. CONCLUSION: Our meta-analysis demonstrated that periodontitis may be a risk factor for gastrointestinal cancers. Additional prospective cohort studies are warranted to confirm these findings.

20.
Environ Health ; 18(1): 98, 2019 11 20.
Artigo em Inglês | MEDLINE | ID: mdl-31771610

RESUMO

BACKGROUND: Very few studies have focused on the relationship between ambient apparent temperature (AT) and admission of mental and behaviour disorders (MDs). Therefore, a time-series study was conducted in Yancheng, China, to explore the effects of AT on the daily emergency admissions of patients with MDs over the period of 2014-17. METHODS: A quasi-Poisson generalized linear model (GLM) combined with a distributed lag non-linear model (DLNM) was adopted to explore the associations after adjusting for time trend, day of the week, humidity, sunshine duration, rainfall, holidays and air pollutants. In the subgroup analysis, the modification effects of age and sex were also examined. RESULTS: Overall, 8438 cases of MDs emergency admissions were identified. With the apparent temperature with the minimum number of admissions (- 3.4 °C) serving as a reference, a positive correlation emerged between high AT and daily emergency admissions of patients with MDs in Yancheng, China, with the lagged effect of 1 to 5 days. The subgroup analysis demonstrated a positive relationship between AT and MDs emergency admissions among males and individuals younger than 45 years old, with no lagged effect. CONCLUSIONS: The results will provide important scientific evidence for mental health policy-makers and practitioners for possible intervention, especially among the vulnerable populations.

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