Global trends of purinergic receptors and depression:A bibliometric analysis from 2003 to 2023

BACKGROUND Depression significantly threatens human health.Purinergic receptors are reported to be associated with depression.However,there is no bibliometric research in this field have been published.AIM To provide some reference for the further research in the field of purinergic receptors and depression utilizing bibliometric analysis.METHODS Relevant researches were retrieved from the Web of Science Core Collection database.The period of the search was from January 1,2003 to December 31,2023.The CiteSpace(6.2.R7)and VOSviewer(1.6.19)were applied to identify the main contributors of countries,authors,institutions,references and journals.Besides,we evaluate keywords to assess the hotspots and trends over the previous 2 decades.RESULTS Totally,247 articles were identified,showing an increasing trend over time.The most productive country,institution,and journal in this field are China,Harvard University,and Biological Psychiatry,respectively.Liang SD and Rodrigues,Ana Lucia S were the most prolific authors.Burnstock G ranked first among the cited authors.The cooperation among countries and disciplines is crucial.The P2X7 receptor provides promising prospects for treating depression and further studies are warranted to validate the scope and significance of depression therapeutic strategies.CONCLUSION This study provides an overview of the worldwide research status and future trends in purinergic receptors and depression.P2X7 receptor is considered an appropriate target for the treatment of depression,as well as neurological diseases.It is implied that based on purinergic system,the future prospects for interventions aimed at depression treatment are promising,showing the way for both augmentation strategies and new drug treatments in the context of the pharmacology of depression.

Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis

BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.

Analysis of the spatiotemporal trends and influencing factors of Hyphantria cunea in China

In recent years,the situation of the Hyphantria cunea(Drury)(Lepidoptera:Erebidae),infestation in China has been serious and has a tendency to continue to spread.A comprehensive analysis was carried out to examine the spa-tial distribution trends and influencing factors of H.cunea.This analysis involved integrating administrative division and boundary data,distribution data of H.cunea,and envi-ronmental variables for 2021.GeoDetector and gravity analysis techniques were employed for data processing and interpretation.The results show that H.cunea exhibited high aggregation patterns in 2021 and 2022 concentrated mainly in eastern China.During these years,the focal point of the infestation was in Shandong Province with a spread towards the northeast.Conditions such as high vegetation density in eastern China provided favorable situations for growth and development of H.cunea.In China,the spatial distribution of the moth is primarily influenced by two critical factors:precipitation during the driest month and elevation.These play a pivotal role in determining the spread of the species.Based on these results,suggestions are provided for a mul-tifaceted approach to prevention and control of H.cunea infestation.

Bibliometric analysis of hotspots and trends of global myopia research

AIM:To gain insights into the global research hotspots and trends of myopia.METHODS:Articles were downloaded from January 1,2013 to December 31,2022 from the Science Core Database website and were mainly statistically analyzed by bibliometrics software.RESULTS:A total of 444 institutions in 87 countries published 4124 articles.Between 2013 and 2022,China had the highest number of publications(n=1865)and the highest H-index(61).Sun Yat-sen University had the highest number of publications(n=229)and the highest H-index(33).Ophthalmology is the main category in related journals.Citations from 2020 to 2022 highlight keywords of options and reference,child health(pediatrics),myopic traction mechanism,public health,and machine learning,which represent research frontiers.CONCLUSION:Myopia has become a hot research field.China and Chinese institutions have the strongest academic influence in the field from 2013 to 2022.The main driver of myopic research is still medical or ophthalmologists.This study highlights the importance of public health in addressing the global rise in myopia,especially its impact on children’s health.At present,a unified theoretical system is still needed.Accurate surgical and therapeutic solutions must be proposed for people with different characteristics to manage and intervene refractive errors.In addition,the benefits of artificial intelligence(AI)models are also reflected in disease monitoring and prediction.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022

BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field is vital.AIM To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research,focusing on key contributors,institutions,and thematic evolution.METHODS This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the"bibliometrix"R package,VOSviewer,and CiteSpace.The analysis focused on the distribution of publications,contributions by institutions and countries,and trends in keywords.The methods included data synthesis,network analysis,and visualization of international collaboration networks.RESULTS This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration.It highlights the United States'critical role in advancing this field,with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute.The last five years,substantial advancements have been made,representing nearly 45%of the examined literature.Publication rates have dramatically increased,from 20 articles in 2002 to 112 in 2022,reflecting intensified research efforts.This study underscores a growing trend toward interdisciplinary and international collaboration,with the Journal of Clinical Oncology standing out as a key publication outlet.This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.CONCLUSION This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis.This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy,ultimately enhancing worldwide patient care.

Analysis and prediction of glacier evolution trend(2020-2100)in Northern Xinjiang

Glaciers,as“solid reservoirs”,are precious resources in arid areas.The study of glaciers is of great significance to the sustainable development and management of agriculture and the economy in northern Xinjiang.The area of glacier distribution on the 1963 topographic map data,1975 MSS data,2000 ETM data,2008 CBERS-2 data,2014 and 2018 ETM+were collected as secondary data.According to the remote sensing survey,the glacier areas in Northern Xinjiang are identified during 1963-2018.Based on the evolution of glacier area in the past 55 years,and using two scenarios,the average annual decrease area of a region during the whole 1963-2018 and the period with the minimum reduction area,the glacier areas of Southern Tianshan Mountains,Western Tianshan Mountains,Eastern Tianshan Mountains,the Sawuer Mountains and Altai Mountains in Northern Xinjiang,and the whole northern Xinjiang in 2030,2040,2050,and 2100 are examined and predicted.In 2100,the glacier area in Northern Xinjiang may decrease by 43%-59%.

Research hotspots and trends in transcranial magnetic stimulation for cognitive impairment:A bibliometric analysis from 2014 to 2023

BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.

Visual Analysis of the Application and Development Trend of Cinnamon in the Field of Traditional Chinese Medicine Based on CiteSpace

[Objectives]This study was conducted to explore the application and development trend of Chinese medicinal material cinnamon in the field of traditional Chinese medicine.[Methods]Articles published from 2008 to 2023 were exported using"cinnamon"as the subject word in the Chinese database of CNKI.Knowledge graphs were drawn by CiteSpace software on the number of articles published,the institutions publishing articles,and keyword clustering,and the data were sorted by Excel.Combined with the extracted information,the application of cinnamon in traditional Chinese medicine and integrated traditional Chinese and Western medicine was analyzed,and its development trend was discussed and prospected,providing further reference for researchers.[Results]The number of articles published showed an overall upward trend and maintained a high number of articles.In the analysis of the journals publishing articles,the journal with the largest number of articles was West China Journal of Pharmaceutical Sciences,which had certain representativeness.In the analysis of institutions publishing articles,the institution with the largest number of articles was Beijing University of Chinese Medicine,and most institutions had little cooperation.Four categories was obtained in keyword clustering,respectively,general research,component identification,production process and product development of cinnamon."Glycyrrhizin"was the keyword with the earliest burst time,and the hot words that have received much attention in recent years are"medication law"and"data mining".[Conclusions]The application of cinnamon in the field of traditional Chinese medicine is mainly to treat diseases and as raw materials for traditional Chinese medicine products.The development trend is"quality control"and"product research and development".Further research and development of cinnamon in traditional Chinese medicine need to promote the participation of more institutions to participate,and cooperation and communication between institutions should be strengthened to promote the deep integration of production,research and academia.

Analysis of Changing Trend of Summer Precipitation in North China

Based on the reanalysis data of the National Center for Environmental Prediction(NCEP)and the precipitation dataset of the U.S.Climate Prediction Center(CPC),the changing trend of summer precipitation in North China(35°-40°N,110°-125°E)during 1979-2020 was studied.By calculating the monthly climatic precipitation in North China,it is found that precipitation was mainly distributed from June to August,so the trend of precipitation in North China from June to August was mainly analyzed.Firstly,the five-point moving average of regional mean precipitation in North China from June to August during 1979-2020 was conducted.It is found that the fitting curve of the five-point sliding average was basically consistent with the changing trend of regional precipitation,and it showed a certain upward trend.Secondly,the cumulative anomaly of regional average summer precipitation in North China showed a significant upward trend after 2005,which was similar to the moving average result,indicating that the precipitation in the later period increased compared with the earlier period.The changing trend of summer precipitation in North China in the past 42 years was analyzed,and the results show that precipitation showed a significant increasing trend in most areas of North China,so that regional average precipitation also tended to increase significantly.By comparing the precipitation in the past five years(2016-2020)and the last 36 years(1979-2015),it is found that the increase of summer precipitation in North China was more obvious,so the reasons for the increase in precipitation were further analyzed.Since the occurrence of precipitation requires favorable thermal dynamic conditions,the one-dimensional linear regression of water vapor content at 850 hPa and meridional wind speed was conduced,and it is found that the two variables tended to increase obviously,which was consistent with the increasing trend of precipitation.Seen from both the results of regional average and the spatial distribution of trends,the lower atmospheric water vapor content and wind speed showed a significant positive trend,which led to the increase of summer precipitation.Therefore,it can be concluded that there was a certain changing trend of summer precipitation in North China in the past 42 years,which can provide certain reference for the future forecast of summer precipitation in North China.

Spatial and Temporal Analysis of Maximum and Minimum Temperature Trends in Northern Sudan during (1990-2019)

The study addresses an urgent and globally significant issue of climate change by focusing on the detailed spatial and temporal analysis of temperature trends in Northern Sudan. It fills a critical research gap by providing localized data over a substantial period (1990-2019), which could help in understanding the nuanced impacts of climate change in Sahel regions like Northern Sudan. In addition, the comprehensive coverage of both spatial and temporal dimensions, supported by a substantial dataset from five meteorological stations, provides a thorough understanding of the subject area. The utilization of robust statistical methods (Mann-Kendall test and Sen’s slope analysis) for analyzing temperature trends adds scientific rigor and credibility to the findings. Our results reveal a consistently increasing trend in maximum temperatures across most stations, particularly during the hot season (AMJ). However, the wet season (JAS) shows high maximum temperatures but no significant trend. Moreover, significant increasing trends in minimum temperatures were observed in all stations except Abu Hamed, where the trend, although increasing, did not reach statistical significance during the hot and cold seasons, and the coldest temperatures were observed during the cold season. These findings underscore the complex temperature dynamics in Northern Sudan and highlight the need for continued monitoring and adaptive measures in response to ongoing climate changes in the region.

Unveiling Global Human Trafficking Trends: A Comprehensive Analysis

This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.

Hotspots and research trends of Piwi-interacting RNAs from 2006 to 2023 based on bibliometric analysis

Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.

Visualization Analysis and Reflection on Research Hotspots and Trends in Pathophysiology Teaching

Pathophysiology is a science that deeply explores the occurrence and development of diseases,studies the mechanisms behind the final results,and integrates knowledge from multiple disciplines such as physiology,biochemistry,and immunology.The core lies in revealing the pathological and physiological changes during the disease process and analyzing the fundamental principles.In the medical education system,pathophysiology is an integral part of the foundational curriculum,serving as a bridge between basic medicine and clinical medicine.By studying pathophysiology,students can comprehensively understand the initial causes of diseases,pathological processes,and functional metabolic changes of the body under disease conditions.This discipline is also committed to cultivating students’systematic thinking,critical analysis skills,and problem-solving abilities,comprehensively enhancing their overall quality,making them more competitive and adaptable in the medical field.

The application of geostatistics in grain size trend analysis： A case study of eastern Beibu Gulf

There are 71 surface sediment samples collected from the eastern Beibu Gulf. The moment parameters （i.e. mean size, sorting and skewness） were obtained after applying grain size analysis. The geostatistical analysis was then applied to study the spatial autocorrelation for these parameters; while range, a parameter in the semivariogram that meters the scale of spatial autocorrelation, was estimated. The results indicated that the range for sorting coefficient was physically meaningful. The trend vectors calculated from grain size trend analysis model were consistent with the annual ocean circulation patterns and sediment transport rates according to previous studies. Therefore the range derived from the semivariogram of mean size can be used as the characteristic distance in the grain size trend analysis, which may remove the bias caused by the traditional way of basing on experiences or testing methods to get the characteristic distance. Hence the results from geostatistical analysis can also offer useful information for the determination of sediment sampling density in the future field work.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

The reverse sediment transport trend between abandoned Huanghe River(Yellow River) Delta and radial sand ridges along Jiangsu coastline of China——an evidence from grain size analysis

To reveal the sediment transporting mechanism between the abandoned Huanghe River （Yellow River） Delta and radial sand ridges, “End Member” Model and grain size trend analysis have been employed to separate the “dynamic populations” in the surficial sediment particle spectra and to determine the possible sediment transporting pathway. The results reveal four “dynamic subpopulations”（EM1 to EM4） and two reverse sediment transporting directions： a northward transport tend from the radial sand ridges to mud patch, and a southward transport trend in deep water area outside the mud patch. Combined with the published hydrodynamic information, the transporting mechanism of dynamic populations has been discussed, and the main conclusion is that the transporting of finer subpopulations EM1 and EM2 is controlled by the “anticlockwise residual current circulation” forming during tidal cycle, which favor a northward transporting trend and the forming of mud patch on the north of radial sand ridges, while the transporting of coarser EM3 is mainly controlled by wind driven drift in winter, which favors a southward transporting direction.

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

Sediment transport in the Luanhe River delta:grain size trend analysis

Sediment grain size in the deltaic environment of the Luanhe River(LR),Liaoning,China,contains sediment transport pathway information useful in elucidating the shoreline change and fluvialmarine interaction.In this study,we utilized numerical partitioning of the sedimentary components and geostatistical grain size trend analysis(GSTA)to define the sediment transport pattern in the Luanhe River delta(LRD)and interpolated the sediment transport pattern using content changes of end numbers(EM).EM1(the mean grain size 7.12Ф,fine silt),EM2(2.37Ф,fine sand),and EM3(1.27Ф,medium sand)components were identified by the numerical partitioning by GSTA.Kriging interpolation method was used to interpolate the parameters of the grain size for the regular grid,and the interpolation radius was 0.015 decimal degree.We chose 0.09 decimal degree as the characteristic distance for GSTA in the semivariogram model using the geostatistical method.The FB(-)case(finer,better sorted and more negatively skewed)was adopted in GSTA for its satisfaction in the Global Moran’s I test.The result of the GSTA shows that the sediments in the south barriers(SBs)were transported to the southwest of the study area.The sediments in the north,in the SE direction of sediment transport trend from the river mouth,indicated that the sediments in the north of the study area were transported from the LR to the northern beaches,and to the south and east of the study area.The sediment transport trend that simplified by GSTA as the FB(-)case was approved by the content changes of sedimentary components(i.e.EM1,EM2,and EM3).In addition,the turbulent jet diffusion pattern indicated that the coarse sediments(EM3)were delivered by LR during the flood season,and the EM2 and EM1 were from wave and tide,respectively.

Innovative trend analysis of annual and seasonal precipitation in Ningxia,China

Based on daily rainfall data from 26 station records,spatial and temporal variations in annual and seasonal precipitation of different rainfall intensities from 1961 to 2018 in Ningxia,China are investigated using the innovative trend analysis(ITA)method.The results show that annual precipitation increases on the northern plain but decreases in the southern mountainous area.The increase in regional annual precipitation is mainly due to an increase in weak precipitation,while the decrease in regional annual rainfall is a result of a reduction in heavy precipitation.Lowintensity precipitation shows an upward trend,while high-intensity precipitation shows a downward trend.The variation trend of extreme precipitation is more obvious.The contributions of different types of extreme precipitation vary by season.During spring,the increase in regional rainfall is mainly caused by the increase in heavy precipitation,while the decrease in regional precipitation is mainly caused by the decrease in weak precipitation.During summer and autumn,the increase in regional precipitation is caused by the increase in light precipitation,while the reduction in regional rainfall is caused by the decrease in heavy precipitation.This study provides support for water resources planning and addressing droughts and floods.

Trends in suicide by hanging, strangulation, and suffocation in Serbia, 1991-2020: A joinpoint regression and age-period-cohort analysis

BACKGROUND Hanging is one of the most commonly used methods for suicide in both sexes worldwide.In a number of countries,hanging mortality has increased over the last decades.Nevertheless,there is a scarcity of studies that have explored the patterns and trends for mortality of suicide by hanging on global,regional and national levels,as most evaluations are limited to certain populations.AIM To assess the trends of suicide mortality by hanging,strangulation,and suffocation in Serbia,from 1991 to 2020.METHODS This nationwide study,with epidemiological descriptive study design,was carried out based on official data.The age-standardized rates(ASRs,expressed per 100000 persons)were calculated by direct standardization,using the World Standard Population.Mortality trends from suicide by hanging were assessed using the joinpoint regression analysis:The average annual percent change(AAPC)with the corresponding 95%confidence interval(95%CI)was calculated.Age-period-cohort analysis was performed to address the possible underlying reasons for the observed suicide trends.RESULTS Over the 30-year period studied,there were 24340 deaths by hanging(17750 males and 6590 females)in Serbia.In 2020,the ASR of deaths by hanging was 4.5 per 100000 persons in both sexes together(7.6 in males vs 1.7 in females).The trends of suicide mortality by hanging decreased significantly between 1991 and 2020 in both males(AAPC=-1.7%per year;95%CI:-2.0 to-1.4)and females(AAPC=-3.5%per year;95%CI:-3.9 to-3.1).Mortality rates of suicide by hanging had a continuously decreasing tendency in both sexes together in all age groups:The only exception was among males in 40-49 age group,with an increasing trend of suicide by hanging from 1991 to 2011(by+0.3%per year).CONCLUSION The trends in suicide mortality by hanging have been decreasing in Serbia in the last three decades in both sexes,but this was more pronounced in women than in men.Despite the decreasing trends observed in mortality of suicide by hanging,further research is needed for better clarification of trends and help in suicide prevention in the future.