The quantity and quality of cropland plays an important role in ensuring food security. In order to explore spatiotemporal patterns of the extent to which cropland satisfies people’s grain need, we integrate multi-source heterogeneous data to investigate in which era, and in which region, the cultivated land can meet people’s food demands. It turns out that in the past 30 years, with the exception of the late 1980s, the amount of cropland could satisfy people’s grain needs at the nation scale. However, more than 10 provinces , mainly located in western China and southeast coastal areas, have been unable to meet the grain needs of local people. We projected the guarantee rate to the late 2020s. Our study concludes that the guarantee rate of cropland is estimated to be higher than 150% in China. Compared to 2019, except Beijing, Tianjin, Liaoning, Jilin, Ningxia, as well as Heilongjiang in the Sustainability scenario, and Shanghai in the Sustainability and the Equality scenarios, the guarantee rate of cultivated land will increase in every province  in 2030. This study has reference value for the study of China’s cultivated land protection system, as well as important significance for China’s sustainable development. Globally, factors such as population growth, higher incomes and urban lifestyles are driving changes in food demand and consumption, putting pressure on the quantity and quality of land resources ,2. SimilSince the reform and opening up in 1978, after 40 years of spectacular growth, China has become the world’s second-largest economy. The population has increased by almost 40 percent, from 987 million in 1980 to 1.412 billion in 2020 . MeanwhiA great deal of effort has been made in China to safeguard domestic food security. Grain output in China has increased steadily under a series of polices and measures implemented by the Chinese government and farmers, such as the delimitation of farmland protection red line and the construction of well-facilitated cropland, etc . Grain o6 hm2, which was mainly distributed in plains, rapidly expanded and densely populated regions, such as Huang-Huai-Hai Plain, the Yangtze River Delta, the Pearl River Delta, and the Sichuan Basin. Approximately 3.18 × 106 hm2 of cropland were occupied for construction [Achievements in alleviating and eradicating hunger have increased in recent decades, but challenges remain. For example, land and water resources have never been more stressed and their accumulation is pushing the productive power of land and water systems to their ultimate limit. From 1990 to 2010, built-up land in China increased by 5.52 × 10truction ,12. In atruction , irrigattruction  pose sertruction . More noTherefore, it is of great urgency to rethink deeply about China’s ability to ensure food security under these complex contexts. Many studies have concentrated upon the food security of China in the view of food production ,17, foodThis study includes three steps for the analysis of the past and the future. First, we calculated people’s grain needs based on the population and per capita grain requirements. Then, by taking gain crops sown area, farm crops sown area, grain yield per unit area and cropland area into account, we obtain the cropland requirement. Finally, according to the cropland requirements, cropland guarantee degree was calculated . The folProjections of the level of cropland satisfying people’s grain need in the future are critical to enable a better understanding and anticipation of cropland’s bearing capacity. The climate projections and scenarios assessed by the IPCC  based on SSP - RCP  framework, have furnished an exhaustive grasp of the restrictions and opportunities for policy action . 2 by the middle of this century, and then returned to 2.6 W/m2 by 2100. In order to achieve such a level of radiative forcing, greenhouse gas emissions (as well as indirect emissions of air pollutants) should gradually decrease over time [The Representative Concentration Pathway 2.6 represents scenarios that lead to quite low greenhouse gas concentrations. This is a scene of “peak and fall”. Its radiative forcing level first reached about 3.1 W/mver time . Under Rver time . The Repver time .The Shared Socioeconomic Pathway describes possible changes in various aspects of society in the 21st century, such as population, economy, technology, society, governance and environmental factors. The purpose is to promote a comprehensive analysis of future climate influence, vulnerability, adaptation and mitigation ,32. In SIn this study, people’s grain consumption was considered as the grain demand by people.Ration and feed grain were two parts that people needed, and the calculation of grain demand is:(1)RationThe calculation of ration consumption in rural and urban areas is the same with previous study , and it (2)Feed GrainThe method of calculation of feed grain in rural and urban areas is similar to the previous study , which cHere, we take the calculation of The calculation of the amount of grain needed in the people’s consumption of pork in rural areas is the same as the calculation in urban areas.However, there are some differences:First, the change in feeding structure has been taken into account when calculating feed grain. The details are as follows:Forage required per unit of product in 1989 and 1999 is based on the research results of Wang Minli and other researchers of the Institute of Agricultural Economy and Development, Chinese Academy of Agricultural Sciences . With soSecond, the proportion of edible parts of meat, aquatic products, milk and eggs and the loss of production and circulation are considered. The proportion of edible parts was 65.9%, 55.6%, 100% and 85% respectively, and the loss proportion was 15%, 34%, 6% and 10% respectively [m is the grain yield per unit area; n is the percentage of the area sown by grain crops in the area of cultivated land; k is multiple-crop index, which means the ratio of crop sown area to cultivated area. The definition of cropland requirement is as below:Data from 1989 to 2019 used in this part can be seen and calculated from m: Due to the bottleneck of per unit yield potential of cultivated land, when the per unit yield level continues to increase and approaches the maximum per unit yield potential, the potential for per unit yield increase will gradually decrease. The function curve of exponential decay model can better reflect this change trend. This paper assumes that the external environment disturbance variable of crop growth is constant, that is, without considering crop improvement factors, we can use the grain yield data over the years (1997–2020) to build regression analysis models of every province, and the formula is as follow:2; t. n and k in 2030 originated from previous studies, which were 0.68 and 1.2 respectively. In this study, the values of Guarantee level of cropland is defined as:Six categories of data were applied in this study, including population, per capita grain requirement, cropland, per unit area grain yield, sown areas of farm crops, and sown areas of grain crops , the detThe population in 1989, 1999, 2009 and 2019, as well as population in rural and urban areas in 2009 and 2019 was collected from China Statistical Yearbook 1990, China Statistical Yearbook 2000, China Statistical Yearbook 2010 and China Statistical Yearbook 2020 ,5,36,37.https://dataguru.lu.se/app#worldpop, accessed on 2 September 2022) [Population data in 2030 under three scenarios were accessed from the high resolution data set for global future population developed with RCP  and SSP  scenarios (er 2022) . Population of each province from 1989 to 2030 can be seen from People’s needs for grain include ration and feed grain. Therefore, per capita food consumption is necessary in the calculation of ration and feed grain. The data for per capita food consumption in rural and urban area in 1989, 1999, 2009, and 2019 were obtained from China Statistical Yearbook 1990, China Statistical Yearbook 2000, China Statistical Yearbook 2010 and China Statistical Yearbook 2020 ,5,36,37.The data on per capita food consumption in rural and urban areas in 2030 were from the China dietary nutrition guidelines .https://www.resdc.cn/, accessed on 8 October 2022).The cropland data for 1989, 1999, 2009 and 2019 were obtained from the 1-Km land remote sensing data in 1990, 2000, 2010 and 2020 . And the amount of cropland in each province can be seen from Gridded 1km land use/land cover change projections of China under comprehensive SSP-RCP  scenarios of 2030 were used to obtain the cropland for 2030  of 2030 is 1.92 × 10e lowest .To capture the regional heterogeneity of grain needed by people, we disaggregate grain consumption into five categories from low to high: Lowest (<3); Medium low (3≥ and <9); Low (9≥ and <15); Medium high (15≥ and <21); Highest (≥21). There are distinct patterns of the amount of grain needed by people : for exaA look at demand patterns over time provides insight into the amount of grain needed by people . Over thDelineating cropland by group is critical to understanding cropland demanding trends. Provinces in the western part of China led in cropland demand from 1989 to 2009. In 2019 and 2030, it can be seen that the southeastern coastal areas, from Huang Huai Hai Plain to Sichuan Basin areas, and northwest areas play major role in the demand for cropland . In the past thirty years, the guarantee rate of cultivated land in the other provinces  has declined, with the exception of Beijing, Tianjin, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi, Hainan, Sichuan, Tibet, and Qinghai .In 1989, cropland in Tianjin, Shanxi, Inner Mongolia, Liaoning, Jilin, Heilongjiang, Shanghai, Hainan, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia, and Xinjiang could not meet people’s grain needs. Cropland in Sichuan, Jiangsu and Fujian met people’s grain needs to a great extent. While the cropland of the remaining provinces  was able to satisfy people’s grain need basically.In 1999, the cropland in Beijing, Tianjin, Shanxi, Liaoning, Shanghai, Yunnan, Tibet, Shaanxi, Gansu, Qinghai and Xinjiang was unable to meet people’s grain need. Cropland in Heilongjiang, Jilin, Hebei, Shandong, Henan, Hubei, Anhui, Jiangsu, Hunan, Jiangxi, Zhejiang and Guangxi met people’s grain need to a great extent. While the cropland in other provinces  was able to satisfy people’s grain need basically.In 2009, cropland in Beijing, Tianjin, Shanxi, Liaoning, Shanghai, Zhejiang, Fu-jian, Guangdong, Hainan, Tibet, Shaanxi, Gansu and Qinghai could not meet people’s grain needs. Cropland in Inner Mongolia, Ningxia, Heilongjiang, Jilin, Hebei, Henan, Shandong, Jiangsu, Anhui, Hubei, Hunan, Jiangxi and Guizhou met people’s grain need to a great extent, while the cropland of the remaining provinces  was able to satisfy people’s grain need basically.In 2019, the cropland in Beijing, Tianjin, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi, Hainan, Tibet, Shaanxi and Qinghai was unable to meet people’s grain need. Cropland in Xinjiang, Inner Mongolia, Ningxia, Heilongjiang, Jilin, Hebei, Henan, Shandong, Jiangsu, Anhui, Hubei, Hunan, Jiangxi, Guizhou and Yunnan met people’s grain need to a great extent, while the cropland of the remaining provinces  was able to satisfy people’s grain need basically.Under the Sustainability, the Middle Road and the Inequality scenarios, apart from Beijing, Tianjin, Shanghai, Jiangsu, Fujian, Guangdong, as well as Hainan in the Sustainability scenario, all provinces  are projected to achieve guarantee rate of cropland greater than 100% . With the exception of Beijing, Tianjin, Liaoning, Jilin, Ningxia as well as Heilongjiang in the sustainability scenario and Shanghai in the sustainability and equality scenario, the guaranteed rate pf cropland is expected to be higher in all provinces  compared to 2019 . In this study, we analyzed whether or not cropland in China could satisfy people’s grain needs across geographic and temporal scales. The following conclusions can be drawn:(1) With the exception of 1989, the amount of cropland could meet people’s grain need. Moreover, the ability of cropland to satisfy people’s grain need increased from 1989 to 2009, while decreased from 2009 to 2019. Under the three scenarios in 2030, the guarantee rate of cropland is estimated to be higher than 150%. (2) From 1989 to 2019, the guarantee rate of cultivated land in other provinces  decreased except Beijing, Tianjin, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi, Hainan, Sichuan, Tibet and Qinghai. Furthermore, more than 10 provinces , which are mainly located in western China and southeast coastal areas, were unable to satisfy the grain demand of local people. Compared to 2019, all provinces  except Beijing, Tianjin, Liaoning, Jilin, Ningxia, and Heilongjiang in the Sustainability scenario, and Shanghai in the Sustainability and the Equality scenarios, are projected to have a higher guarantee rate of cropland in 2030 than in 2019.The demand for cultivated land is the key content of this study. By comparing with the existing research, the demand for cultivated land calculated in 2030 (161 million hectares to 164 million hectares) is slightly higher than the previous research results (about 150 million hectares) , which iFrom 1989 to 2009, under the comprehensive influence of population and per capita grain ration and feed grain consumption changes, the grain consumption demand of the Chinese population changed little, but due to technological progress, the unit yield of cultivated land increased, and the amount of cultivated land required decreased. As a result of urbanization and the project of returning farmland to forests, a large amount of cultivated land in China has been occupied . HoweverChina is a vast country with large regional differences. The differences in natural conditions, diet structure, population development and urbanization process in different regions have led to differences in the cultivated land satisfaction rate in different regions of China. The cultivated land resources in western China are poor, and the problems of soil erosion, desertification and soil salinization are serious ,44,45. TChina now is in a new era of food security. The decline in the area of cultivated land and low utilization efficiency have a very negative impact on the potential productivity of China’s cultivated land. Although the results of this study suggest that the amount of cultivated land in China will be more than 1.5 times of that needed to meet people’s grain needs by 2030, the marginalization of cultivated land in the process of urbanization, the non-agricultural transformation of cultivated land, and the transformation of agricultural cropping patterns to achieve economic benefits have potential impacts on China’s food production. Hence, under the background of food security, we need to reasonably use and control the cultivated land, strictly monitor the quantity of cultivated land, and improve the productivity of cultivated land. In addition, due to the geographical differences in population distribution, cultivated land quantity and cultivated land production potential, cultivated land protection in different regions of China faces various pressures. Therefore, under the strategic background of national food security, each region should actively explore and formulate cultivated land protection policies and agricultural production plans, that are suitable for itself and promote the sustainable development of China’s food production.


Both natural disasters such as wildfires, earthquakes, tsunamis, and hurricanes, as well as man-made disasters such as civil wars, have been known to result in significant mental health effects on their victims.The purpose of this general literature review is to analyze the impact and contribution of social determinants to mental health and resilience following natural and man-made disasters.In this paper, we specifically explore some of the most studied factors relating to vulnerability and protection, such as gender, age, ethnicity, social support, and socioeconomic status on mental health and resiliency in disaster survivors. In addition, several other possible factors were discussed, such as previous trauma, childhood abuse, family psychiatric history, and subsequent life stress.Using key words such as mental health, social determinants, disasters, wildfires, earthquakes, terrorism attacks, and resilience, we conducted a literature search in major scientific databasesA discussion of the implications for public health policy and practice is presentedNone Declared


PLOS ONE Editors retract this article [The  article  because PLOS ONE Editors note that primary data were not provided with the article, contrary to the Data Availability statement.The AH, MA, MN, ZI, ML, AM, and JTC did not agree with the retraction. MJ, FMP, SA, MNA, and PA either did not respond directly or could not be reached.


Food is not only a source of nutrition for humans; it also encompasses social, cultural, and psychological dynamics. Understanding of food products, preferences, and practices provides us with knowledge of historical, cultural and contemporary uses . In addiIn the first paper published in this Special Issue, Valli et al.  analyze Zorell  highlighIn addition, Cipriano-Crespo et al.  present Muñoz et al.  focused In the context of Poland as a particular example in Europe, Raftowicz  analyzedRos-Baró et al.  carried Dancausa Millán and Millán Vázquez de la Torre  analyzedFinally, in the context of the relationship between food and tourism, Yang et al.  focused This Special Issue on ‘Public Awareness of Food Products, Preferences and Practices’ discusses the conception, protection, and promotion of food from a broad perspective, analyzing food-based experiences, consumption, food cultures, social behavior related to food, and healthy and sustainable food practices. All these papers came from original and innovative international research and case studies that show food, from all perspectives, as it is: a necessary fact that straddles the biological and the social, with strong implications for our daily life. They also invite researchers and decision-makers in the field to look into future lines of research, which will span various different areas, such as artificial intelligence, advances in measuring food carbon footprint, demographic and climate change, the preservation of biodiversity, and other factors that could affect individuals’ food preferences, lifestyle, health, and wellbeing.


After struggling with COVID-19 pandemic for two years, the world is finally recovering from this crisis. Nonetheless, another virus, Monkeypox, is quickly spreading throughout the world and in non-endemic regions and continents, threatening the world to a new pandemic. Twitter as a popular social media has successfully been used for predicting and controlling outbreaks. Much research previously has been done for building early warning systems, trend prediction, and misinformation and fake news detection. Since tweets are not accessible to all researchers, in this work, a publicly available dataset containing 2400202 tweets gathered from May first to December twenty-fifth, 2022 is presented. Twitter developers academic researcher API which returns all the tweets matching a given query was used to gather the dataset. To this end, the full archive search and keywords related to Monkeypox and its equivalents in other languages, i.e. Monkeypox or “monkey pox” or “viruela dei mono” or “variole du singe” or “variola do macoco” were used. The retweets were excluded using the negation operator, and the tweet ids and user ids were extracted and shared with public. Approximately, 1.79 percent (43047 number) of tweets were geotagged. To visualize the geotagged tweets, the longitude and latitude of the bounding box coordinates were averaged. This work will help researchers shed light on the news, patterns, and on-going discussions of Monkeypox on social media, identify hotspots, and help contain the Monkeypox virus. Specifications Table•The COVID-19 pandemic has created havoc throughout the world. After more than two years, just when the Non-Pharmaceutical Interventions (NPI) are being lifted, and the world needs to recover from the damages caused, a new virus, Monkeypox, emerges in more than 20 countries, and threatens the globe to a new pandemic.•NPIs have canceled or postponed many surgeries, diagnostic tests  and procedures , causing a great number of patients to fall out of their timeline •It is critical to contain the Monkeypox virus and extinguish the menace. Twitter has previously been successful in early warning systems for outbreaks •Researchers from Data Science, Computer Science, Social Science, Mathematics and Statistics, Medicine and even Economy can use Twitter data further to understanding misinformation/disinformation regarding Monkeypox •The results of the studies could be used by decision-makers to inform more targeted policies, and health officials to provide better services suitable for all communities especially vulnerable and marginalized populations.•Social media platforms such as Twitter are increasingly being used by public to discuss their opinions, concerns, and experiences. This dataset could help researchers understand the popularity of Twitter posts over time, locations and hotspots where people are more concerned, the discussed topics at their hotspots, and sentiments/emotions of the topics of concern.•Previously, a Twitter dataset was prepared for Monkeypox in June 2022 1Each line in the file Monkeypox_May1_to_Dec25_2022.csv is associated with a defferent tweet and includes two columns, TweetID and AuthorID which represent the tweet id and the user id. The file includes 2400202 lines in total. To access the actual tweets and their metadata, the tweet ids need to be hydrated. One software that can hydrate the tweets is DocNow hydrator The tweets belong to 69 different languages. Roughly, 81.82 percent (1963797 number) of the tweets are in English. About 1.79 percent (43047 number) of tweets are geotagged. The longitude and latitude of geotagged tweets were estimated by averaging the longitude and latitude of their bounding box coordinates. Twitter as one of the most popular social media platforms is capable of providing researchers with information to understand the global situation better, and help reduce the number of cases. Therefore, in this work, a dataset containing all the tweets posted since May first to December twenty-fifth 2022 is presented. This dataset can be updated in the future and help researchers overcome various issues regarding the current Monkeypox outbreak.2Twitter API academic researcher account returns all the tweets available with a certain query and allows the user to retrieve ten million tweets per month. The full archive search of the Twitter API academic researcher account was used to retrieve the tweets. This endpoint accepts a query as input which includes a set of keywords and returns all the tweets and their metadata that match the keywords. Since European countries are the hotspots for current Monkeypox virus, the keywords used to build the query included Monkeypox and its equivalents in Spanish, French, and Romanian, i.e., Monkeypox or “monkey pox” or “viruela dei mono” or “variole du singe” or “variola do macoco”. In addition, the retweets were excluded using the negation operator, -is:retweet. The tweets were gathered from May first to December twenty-fifth 2022, and 2400202 number of tweets were retrieved. Other than the actual text, the metadata obtained included tweet id, conversation id, in reply to user id and in reply to username (in case of the tweet being a reply), created at, type , language, retweets count, reply count, like count, geo id, geo-country, geo-province/city, geo-coordinates, author id, author name, author username, author description, author-reported location, author hashtags, created account at, follower count, following count, tweet count, and image URL. However, due to Twitter developers’ privacy policy agreement, only the tweet ids and user ids are shared with the public This dataset complies with the Twitter developers’ API terms of use and privacy policy Zahra M. Nia: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. Nicola L. Bragazzi: Conceptualization, Formal analysis, Investigation, Methodology, Validation, Supervision, Writing – original draft, Writing – review & editing. Jianhong Wu: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Software, Validation, Writing – review & editing. Jude D. Kong: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing – review & editing.The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.


The aim of this review was to assess the possible risk factors arising from working conditions, that could have an impact on the stress, fear, and anxiety of construction workers.A systematic review was conducted following the PRISMA format in the Pubmed, Cochrane, Web of Science, Scopus, and PsycInfo electronic databases on February 3, 2023, using the following key words: anxiety, stress, fear, and construction workers. Methodological quality was assessed using the critical appraisal tools of the Joanna Briggs Institute.A total of 35 studies were included. The results showed a number of conditioning factors for stress, anxiety, and fear among construction workers such as age, inappropriate safety equipment, safety culture, high workload and long working hours, physical pain, low social support from direct supervisor or co-workers, lack of organizational justice and lack of reward, financial situation, maladaptive coping strategies, and characteristics of the pandemic.There are a number of risk factors related to working conditions, organizations, and individuals that can affect the levels of stress, anxiety, and fear among construction workers, such as age, work hardship, safety culture and, especially, the long hours that construction professionals work. This may lead to an increase in the number of occupational accidents and higher associated fatality rates.https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022367724, identifier: CRD42022367724. The construction sector is currently one of the main productive sectors and economic engines in most countries . It is iThe tasks that construction workers perform may be found to be unsatisfactory for them due to the concurrence of factors related to the work itself, individual characteristics, lifestyle and concomitant health problems, and/or problems related to the professional performance itself , 7. In fStress can be considered as the body's response to frequent and/or continuous mismatches between an individual's demands and the individual's ability to cope with them . This haIt is well known that construction projects often have very tight deadlines. This means that the teams of people who carry out the work, whether they are craftsmen, site teams, supervisors, or technical staff, are under a lot of pressure from their companies. In addition to stress, this can cause anxiety in the worker. Anxiety, according to Spielberger , can be In order to assess the risk factors related to levels of anxiety, stress, and fear among construction workers in the construction industry, a systematic review was conducted following the guidelines of the PRISMA statement  . The proThe search was carried out in the Pubmed, Cochrane Library, Web of Science Scopus, and PsycInfo electronic databases on the basis of the keywords that the research question yielded following the PECO strategy .Based on these keywords, the Medical Subject Headings (MeSH) thesaurus was consulted, yielding the descriptors Anxiety, Psychological Stress, Fear, and Construction industry. In order to enlarge the scope of the search, synonymous terms were used to complete the search based on the Medical Subject Headings (MeSH) thesaurus , linked The following inclusion criteria were used for the selection of articles: (1) original articles published in English, Spanish, French, and Portuguese; (2) typology: original articles, meta-analysis, short communications, and case reports; (3) articles published in the last 10 years; and (4) articles measuring any of the following values and/or effects: level of stress, anxiety and fear, number of cases of people with stress/anxiety/fear, substance use, insomnia, physical manifestations of psychological stress, comparison according to type of profession/sex/country, possible risks for the materialization of accidents at work, coping measures, how work and/or psychosocial conditions influence, and health-work relationship and vice versa. Similarly, the exclusion criteria were: (1) studies in a language other than English, Spanish, French, and Portuguese; (2) typology: opinion articles, editorials, and letters to the editor; (3) studies of low scientific-technical quality after applying the quality assessment tool; and (4) articles that did not answer the research question and were not related to the objective of the review.For this search, a pre-established protocol was initially followed for the search and revision strategy in order to minimize the risk of bias in the selection and subsequent publication. This strategy was similar in the different databases by using the aforementioned descriptors and related keywords through the Boolean operators AND and OR. In the drafting of this work, two researchers independently carried out the bibliographic searches. As a secondary strategy, a search was carried out based on the use of references and names of the authors cited in the different records selected  with the intention of verifying the existence of works not found in the primary search. For the screening and selection of articles, duplicate studies were eliminated and those articles that could be included were selected after reading the abstract and title according to the previously established criteria. After this initial screening, the same authors analyzed the full articles and selected those studies potentially suitable for inclusion in the review. This selection was made by consensus between the two researchers and any discrepancies that may have arisen were resolved by a third author.Two reviewers independently determined the methodological quality of the selected studies using the critical appraisal tools of the Joanna Briggs Institute (JBI) at the University of Adelaide. These tools allow the assessment of the methodological quality of a study and the extent to which a study has excluded or minimized the possibility of bias in its design, conduct, and/or analysis. The versions for analytical cross-sectional studies (8 items) , for quaA total of 35 studies were selected. The initial search strategies identified a total of 1,150 references, which were then screened according to the topic of this review. Twenty-six of the 35 studies were analytical cross-sectional studies, 2 carried out qualitative research, 6 were mixed methods, and 1 was a quasi-experimental study .Of the 35 selected studies, 8 articles were conducted in China; 4 in the United States, Australia and Korea; 2 studies were conducted in Singapore, Ghana, and India; and 1 study was conducted in Canada, Ethiopia, the Netherlands, Indonesia, Nigeria, the United Kingdom, Pakistan, Saudi Arabia, and Taiwan. In 26 of the 35 selected articles, the sample consisted of construction workers in general, and in 3 of them a distinction was made between workers and supervisors. In another 2, the sample consisted of foreign or migrant construction workers, and the rest had specific characteristics, making a total aggregate sample of 13,399 subjects. As for the topic of research, 31 studies were found on stress, 10 on anxiety, and 3 on fear.The prevalence of substantial mental distress was between 16 and 50% among construction workers , 32 [20,Between 37 and 50% of construction workers showed moderate to extremely severe levels of anxiety , 50. AmoFear among construction workers was mainly associated with the characteristics of the COVID-19 pandemic , 51, witThe different studies showed multiple conditioning factors for stress, anxiety, and fear among construction workers such as age, inappropriate safety equipment, safety culture, high workload and long working hours, physical pain, low social support from direct supervisor or co-workers, lack of organizational justice and lack of reward, financial situation, maladaptive coping strategies, and characteristics of the pandemic.The number of hours worked by employees is a determining factor for the level of stress according to the Occupational Stress Index (OSI). Several studies have found working hours of more than 12 h per day  or up toIn many cases, construction projects have to comply with a completion date, and must be finished within that timeframe with the resources that were initially planned. In this sense, many construction workers, despite being fatigued, continue to work for fear of losing their jobs, prioritizing the economic needs of their families over their physical health . LikewisOn the other hand, several of the studies in this systematic review link the age of individuals to mental health , 33, 39.Safety culture is another factor that has been linked to higher levels of stress and anxiety , 34, 43.In this line, the low social support of the direct supervisor or co-workers is a key element as a protective or risk factor, depending on the case , 34, 41.Finally, with appropriate coping techniques, construction workers can improve their stress levels. However, maladaptive coping techniques such as substance use , self-distraction, denial, venting, among others, lead to increased depression, anxiety, and stress , 43, 46.The present study has a number of limitations. Firstly, while the studies included in this review offered valuable contributions to knowledge about the mental health of construction workers, there are not enough studies that encompass the geographical dispersion and socio-cultural differences, types of construction work, and situations that can be encountered in the construction sector. This is why the results found in this review cannot be extended to all construction typologies, company types and sizes, and the important contextual variations that may exist in different regions of the world. Secondly, the multifactorial nature that can give rise to the different risk factors related to mental health makes it impossible to establish a precise interpretation of their cause, as many of these factors are found outside the workplace, such as education, culture, religion, family, or the personal condition of each worker, among others. In this sense, another limitation to be considered is the fact that the different working conditions established in each country at a global level and the laws and customs applied in each one of them in this area hinder the performance of a homogeneous analysis in general terms, as coping behaviors may differ considerably between one place or another, since certain working contexts that could a priori be considered susceptible to harming the health of the worker have become normalized.Accidents at work can be related to the mental health of workers, and age, hardship, and especially the long hours worked by construction professionals are factors that are significantly related to stress, anxiety, and fear. However, further studies are needed in this area that also include different work contexts and variables such as culture, education, professional qualifications, work environment, support systems, among others, in order to establish an early detection of risks.The findings of this review could help construction companies to establish policies toward improving the working conditions of their employees and to increase knowledge about mental health in this sector. In this way, researchers and professionals dedicated to occupational safety, health, and risk prevention can identify these psychosocial factors and establish strategies and proposals to minimize the possible occurrence of such risk factors.The original contributions presented in the study are included in the article/Conceptualization, formal analysis, investigation, writing—original draft, and writing—review and editing: CG-S, JG-I, JG-S, JF-R, JC-V, RA-C, JM-P, and CR-F. Data curation: CG-S, JC-V, CR-F, and JG-I. Methodology, resources, and visualization: CG-S, JG-I, JG-S, JF-R, JC-V, RA-C, and CR-F. Project administration: JG-S, JC-V, and CG-S. Software: CG-S, JG-I, and JG-S. Supervision: JG-S, JG-I, JF-R, RA-C, and CR-F. Validation: JG-I, JC-V, JG-S, RA-C, and JF-R. All authors contributed to the article and approved the submitted version.


Carbon nanotubes (CNTs) were first filled with a number of metals starting in 1993 . Single-Several groups are working on the topic. The groups of Jeremy Sloan in the UK ,5, MariaFirst of all, more substances are waiting to be incorporated into carbon nanotubes. Secondly, the filling of carbon nanotubes opens new possibilities. Third, incorporated substances form new phases inside CNT. Many new works on modeling the atomic structure of filled SWCNTs are forthcoming. Fourth, the filling modifies the electronic properties of SWCNTs. In all cases, the collaboration of researchers around the world is required, which brings new ideas and results. The electronic properties of SWCNTs were first modified and extensively investigated by Marianna V. Kharlamova ,15,16. IA large variety of incorporated substances allows tuning the electronic properties of SWCNTs for targeted applications. Recently, Hisanori Shinohara et al. filled SWCNTs with HgTe, WTe, and MoTe and investigated the electronic properties of filled SWCNTs with spectroscopic techniques ,9. It isSpeaking of applications, most carbon nanotube papers target nanoelectronics, electrochemical energy storage, nanomedicine, thermoelectric power generation, catalysis, sensors, spintronics, and magnetic recording. From one side, all these applications can be developed on an industrial scale. On the other side, the synthesis methods of filled SWCNTs, manipulation, and building device methods are optimized and ready to be implemented in factories. For these reasons, a boom in investigations of filled CNTs is expected. In the Special Issue entitled “Applications of Functionalized Carbon Nanomaterials: Advances and Perspectives”, we focus on applications of chemically functionalized carbon nanomaterials such as carbon nanotubes, graphene, graphene nanoribbons, 2D heterostructures, fullerenes, and nanodiamonds. In my review paper , I summaIn a research paper , the autInterested authors are invited to submit their excellent experimental and theoretical works to this special issue entitled “Applications of Functionalized Carbon Nanomaterials: Advances and Perspectives”.


CA and SE organized the database. CA, MD, and MoM performed the statistical analysis. CrC wrote the first draft of the manuscript. CrC, MD, CG, and MiM wrote sections of the manuscript. MD, CG, and MiM collected data. All authors contributed to manuscript revision, read, and approved the submitted version”.The correct spelling is CCr, GC, RL, VB, and CCo contributed to conception and design of the study. AC and ES organized the database. AC, DM, and MMo performed the statistical analysis. CCr wrote the first draft of the manuscript. CCr, DM, GC, and MMi wrote sections of the manuscript. DM, GC, and MMi collected data. All authors contributed to manuscript revision, read, and approved the submitted version.In the published article, author names were incorrectly written in Conflict of interest section as “CA has received research grants from Almirall, research grants from ECTRIMS-MAGNIMS and honoraria from Almirall, Biogen, Roche Sanofi-Genzyme and Novartis. MoM has received research grants from ECTRIMS-MAGNIMS, UK MS Society, and Merck; and honoraria from Biogen, Merck, Roche, and Sanofi-Genzyme. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest”.The correct spelling is AC has received research grants from Almirall, research grants from ECTRIMS-MAGNIMS and honoraria from Almirall, Biogen, Roche Sanofi-Genzyme and Novartis. MMo has received research grants from ECTRIMS-MAGNIMS, UK MS Society, and Merck; and honoraria from Biogen, Merck, Roche, and Sanofi-Genzyme. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.The authors apologize for this error and state that this does not change the scientific conclusions of the article in anyway. The original article has been updated.


In the published article, the author names were incorrectly written as “Ning Yan, Zi Zhang, San Guo, Shu Shen, Xing Li”. The correct spellings are “Ningning Yan, Ziheng Zhang, Sanxing Guo, Shujing Shen, Xingya Li”.In the published article, there was a mistake in the Author contributions. The correct Author contributions appears below.NNY, ZHZ, SJS, and XYL wrote the manuscript. NNY, ZHZ, and SXG prepared Figures and Tables. All authors have reviewed the manuscript and gave their consent to publication. All authors contributed to the article and approved the submitted version.The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article the author names were written in the incorrect order of given and family name. The author name order has been corrected.In the published article affiliation 3 was incorrect. Affiliation 3 has been corrected.The Copyright has been corrected as follows:© 2023 Ricci, Russo, Renzi, Baldi, Nannini, Lami, Menicatti, Pallecchi, Bartolucci, Niccolai, Cerboneschi, Smeazzetto, Ramazzotti, Amedei and Calabrò. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.The “Author contributions” has been corrected as follows:ASC, AA, and ER designed the study. FR, GN, and GL collected the samples. FR, DR, SB, MP, MM, and GB performed the experiments. FR, ER, SB, and EN analyzed the data. MC and MR analyzed microbiota data. ER and FR wrote the manuscript. ER edited the manuscript. AA, DR, and ASC supervised the manuscript. ER, AA, and ASC provided for funding acquisition. All authors have approved the final draft submitted.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Osteichthyes, Cypriniformes in Fauna Sinica was finally completed in 2021. After the efforts of four generations of ichthyologists, the last volume has been officially submitted to the Science Press for printing. The publication of this book is a lifelong dream of the Academician Hsien-wen Wu  (The three-volume H.W. Wu) , a famouAcademia Sinica. In the same time, he held a position concurrently as a professor in zoology, anatomy, embryology, and parasitology in the Central University, Fudan University, and Jiangsu Medical College, respectively. His research objects were not only fish, but also included helminths, amphibians, and reptiles. During World War II, the Institute of Zoology and Botany moved from Nanjing to Chonqing, where Professor Wu devoted himself to studies on experimental ichthyology, including physiology and functional morphology such as the mechanism of aerial respiration in fish. From 1940 to 1947, Professor Wu guided his early students, Dr. Jiankang Liu (刘建康) and Dr. Xiaowei Zhang (张孝威), the famous ichthyologists in China, in serially publishing many scientific reports on the respiration mechanism of rice eel, exploring in relative detail the structure and function of respiration organ of rice eel based on the morphology, histology, and physiology. In 1950, the Institute of Zoology and Botany was renamed the Institute of Hydrobiology (IHB), Chinese Academy of Sciences (CAS), and moved from Shanghai to Wuhan. From 1964 to 1977, Dr. Wu devoted himself to the editing of the two-volume monograph The Cyprinid Fishes of China , and systematically gave a comprehensive description of freshwater fishes in China  University in in China , 1977. Tiformes” . Also, iScience in China in 1981  were not developed until 1970s. Since 1977, encouraged and promoted by Hsien-wen Wu, Yiyu Chen (陈宜瑜), Xianglin Chen (陈湘粦), and the members of the team have conducted an extensive skeletal study on the representative species in the order Cypriniformes, as well as the descending families such as Cyprinidae, Cobitidae, Homalopteridae, and Catostomidae . They ap in 1981 , and the in 1984 . These p in 1984 .Professor Hsien-wen Wu paid high attention to the collection of fish specimens and emphasized the importance of long-term fieldwork. The team members Yiyu Chen and Wenxuan Cao (曹文宣) have long devoted themselves to field research on the Qinghai–Tibetan Plateau to collect specimens. Due to their efforts, China currently has the largest collection of cypriniform specimens in the world, and IHB has been rewarded to be one of the world’s leading centers for ichthyology, along with fish research centers in France, Sweden, the United Kingdom, and the United States. Until now, the fish museum founded by Hsien-wen Wu has collected more than 400,000 fish specimens, accounting for more than 1,200 species of fish.Molecular Phylogenetics and Evolution (Science China (Chinese Science Bulletin (Progress in Natural Science (Dr. Hsien-wen Wu emphasized the importance of frontier scientific research, which promoted the rapid development of the ichthyology research team in IHB. Following his heritage, the team has conducted a series of cutting-edge studies, including the evolution of Cyprinidae, Cypriniformes , and plavolution , Sciencece China , ChineseBulletin , Progres Science , and so  Science .Fauna Sinica, Osteichthyes, Cypriniformes,” and the launch of the phylogenetic studies on Cyprinidae and Cypriniformes.In summary, Hsien-wen Wu’s great contribution to ichthyological research in China is mainly manifested in the concentrated description of Cyprinidae and Cypriniformes, the publication of “The Cyprinid Fishes of China,” “Hsien-wen Wu’s great contribution also includes the establishment of the largest fish museum in Asia featuring Cypriniformes. After decades of improvement, there are now more than 400,000 fish specimens, about 1,200 species, and more than 260 type specimens housed in the museum.


In the published article, there was an error in the author list, and author Alan Anticevic was erroneously excluded. The corrected author list appears below.1*†, Jure Demšar1,2†, Alan Anticevic3,4 and Grega Repovš1Nina Purg1Department of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia2Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia3Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States4Department of Psychology, Yale University School of Medicine, New Haven, CT, United StatesIn the published article, there was an error. Alan Anticevic was erroneously excluded from the Author Contributions statement. The corrected Author Contributions statement is below.NP, JD, AA, and GR: conceptualization. JD and GR: methodology and software. NP and GR: investigation and formal analysis. NP, JD, and GR: writing—original draft, writing—review, and editing. AA and GR: resources, supervision, and funding acquisition. All authors contributed to the article and approved the submitted version.In the published article, there was an error. Alan Anticevic was erroneously excluded from the Conflict of Interest statement. The corrected Conflict of Interest statement is below.JD consults for Manifest Technologies. AA and GR consult for and hold equity in Neumora Therapeutics and Manifest Technologies.The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Numerous and heterogeneous populations of beneficial microorganisms originating from raw materials, equipment, and production and processing environments can affect the fermentation process by their metabolic activities, allowing for the enhancement of the nutritional value, sensory characteristics, overall quality, safety, and shelf-life of final food products ,2,3. In On the other hand, multiple sources of the contamination of raw materials, equipment, and environments involved in the manufacturing of fermented foods may allow for the establishment and proliferation of spoilage and pathogenic microorganisms, which can cause alterations in the final products and threaten consumer health ,7.Microorganisms, dedicated to “Beneficial and Detrimental Microorganisms Occurring in Fermented Foods”, aimed at collecting new studies concerning any aspect of pro-technological, probiotic, spoilage, and/or pathogenic microorganisms occurring in fermented foods, as well as on the characterization, evolution, and metabolism of microbiota that occurs during the production, storage, and distribution of these products.This Special Issue of In their study, Hussain et al.  examineddonejang, a fermented soybean product, using 29 samples originating from different regions of Korea. In particular, the biogenic amine content, bacterial composition, and metabolic functions were assessed.Jeong et al.  investigFagbemigun et al.  investigPediococcus acidilactici M76 for the lactic acid fermentation of black raspberry extract, whereas Thongwai et al. [Komagataeibacter maltaceti species, and characterized its ability to produce bacterial cellulose.Song et al.  assessedi et al.  identifiClostridium tyrobutyricum strains with different genotypic and proteotypic profiles, showing that strain-specific germination and growth characteristics should be considered among other factors to evaluate the risk of cheese spoilage by this spoilage agent of hard and semi-hard cheeses.Finally, Podrzaj et al.  compared


Incorrect AffiliationIn the published article, there was an error in affiliation(s) 1. Instead of “The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China”, it should be “Department of Radiology, Hainan Hospital of PLA General Hospital, Sanya, China”.In the published article, there was an error in affiliation(s) 2. Instead of “Department of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya, China”, it should be “The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China”.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.Additional Affiliation(s)The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.In the published article, there was an error regarding the affiliation 1 for Xin Li and Zhiye Chen. As well as having affiliation(s) 1, they should also have The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


The Oncologist, Volume 27, Issue 12, December 2022, Pages 1058–1066, https://doi.org/10.1093/oncolo/oyac188This is a correction to: Cara Mathews, Domenica Lorusso, Robert L Coleman, Susan Boklage, Jamie Garside, An Indirect Comparison of the Efficacy and Safety of Dostarlimab and Doxorubicin for the Treatment of Advanced and Recurrent Endometrial Cancer, In the originally published version of this article, there were errors in the panels A and B of Figure 2: Dostarlimab should show a blue line and Doxorubicin should show a red line.This error has been corrected.


The lower consumption of NP1 and NP2 by postmenopausal women was associated with a higher risk of osteopenia, but not osteoporosis.Nutrient patterns (NPs) and the synergistic effect between nutrients have been shown to be associated with changes in bone mineral density (BMD). This study aimed to identify NPs and to associate them with BMD categories in postmenopausal women. This cross-sectional, observational, analytical study was carried out with women in menopause for at least 12 months, aged ≥50 years. Sociodemographic, lifestyle, and clinical variables were investigated. BMD was assessed using dual energy X-ray absorptiometry. A dietary assessment was conducted using a food frequency questionnaire, and three nutrient patterns  were extracted from the principal component analysis. Multivariate logistic regression was applied to investigate the association between BMD classifications and NP consumption. A total of 124 women, aged on average, 66.8 ± 6.1 years, were evaluated. Of these, 41.9% had osteopenia and 36.3% had osteoporosis. The NP1 (OR: 6.64, [CI95%: 1.56–28.16];  Skeletal disorders such as osteopenia and osteoporosis result from reduced bone mineral density (BMD) and the deterioration of bone microarchitecture ,2. OsteoIn addition to hormonal changes, several modifiable factors such as smoking, physical activity, and dietary factors are associated with BMD in postmenopausal women and with the possible deleterious outcomes in the bone health of this population ,8,9. SomThe relationship between NPs and BMD in older adults, especially postmenopausal women, has only recently received attention ,14,15,16Considering the heterogeneity of the results of previous studies and the lack of a conclusive NP to address BMD, it is necessary to clarify which patterns may be related to bone mass and the consequent development of disorders such as osteopenia and osteoporosis. Furthermore, by evaluating the consumption patterns of postmenopausal women and their correlation with the aforementioned outcomes, it may be possible to add new nutritional recommendations for the prevention and treatment of osteoporosis. In this sense, the aim of this study was to identify NPs and to associate them with the BMD categories of postmenopausal women.® Version 3.01, Atlanta, GA, USA) software ; p = 0.030, respectively) when compared with women in the third tertile. In the adjusted models, the first tertile of NP2 consumption remained associated with osteopenia, with an increased risk , while the second tertile lost its association with osteopenia  when adjusting for PA level, antiresorptive drugs, and calcium and vitamin D supplementation. We found no association between the NPs and osteoporosis in the model presented (p > 0.05)  .In the present study, NP1  was inversely associated with osteopenia. In other words, the lower consumption of this pattern increases the risk of postmenopausal women of having compromised BMD. This same association was observed for NP2, defined by a high consumption of iron, vegetable protein, thiamine, folate, total fiber, PUFA, insoluble fiber, vitamin A, vitamin K, alpha-tocopherol, copper, sodium, and retinol.The NP1 and NP2 identified in our study are composed of a large number of nutrients that are important for bone health; hence, their association with osteopenia. Bone is composed mainly of proteins, which, in addition to playing a structural role, have an anabolic effect via insulin-like growth factor 1 (IGF-1) . IGF-1 aThe role of other B-complex vitamins in bone health is still unclear, but there are indications that they are linked to homocysteine metabolism, which involves remethylation that is dependent on vitamin B12 and folic acid (B9), and trans-sulfuration that is dependent on vitamin B6 . EvidencAmong minerals, zinc and copper are essential cofactors for enzymes involved in bone matrix synthesis, acting to stimulate bone formation and to suppress its remodeling , with poFurthermore, fibers seem to increase intestinal calcium absorption in both rats and humans, and improve bone parameters ,66,67. INP3, characterized by a high consumption of carbohydrates, soluble fiber, total sugar, and vitamin C, while being low in total lipids, saturated fat, and MUFA, was not associated with osteopenia and osteoporosis. That may be due to the low number of nutrients correlated in this pattern, in addition to the absence of important nutrients for bone health , althougIn contrast to our initial hypothesis, no association was observed between NP and osteoporosis. The explanation for the lack of association may lie in the characteristics of the population studied. Of the 124 women evaluated, only 45 were classified as having osteoporosis, and their distribution between NP1 and NP2 was uniform, which may have caused the loss of effect on BMD. In addition, because of the characteristics of the study, this condition was previously established, and the women may have modified their consumption patterns because they were oriented on the importance of calcium, vitamin D, and other nutrients for bone health during outpatient treatment.2 increase in BMD [Our results are consistent with those from the few other studies available on the relationship between NP and BMD in postmenopausal women ,15. In ae in BMD . It is ne in BMD . FurtherThis study has some limitations, such as the cross-sectional design that does not allow us to infer the causality between the NP identified and osteopenia. There is a need for longitudinal studies, especially in this population, in order to clarify the relationship between nutrients in the development of osteopenia and osteoporosis. The use of drugs such as glucocorticoids, and other chronic diseases such as cancer, diabetes, chronic kidney diseases, and human immunodeficiency virus (HIV), which may increase the risk of osteoporosis, were not evaluated, which could be a confounding factor . The meaIn conclusion, a lower consumption of NP1 and NP2 was negatively associated with BMD. So, postmenopausal women in this study were at greater risk of osteopenia when they consumed less of the dietary pattern rich in vitamin B12, pantothenic acid, phosphorus, riboflavin, animal protein, total protein, vitamin B6, potassium, vitamin D, vitamin E, calcium, cholesterol, β-carotene, omega 3, magnesium, zinc, niacin, and selenium (NP1); or of those rich in iron, vegetable protein, thiamine, folate, total fiber, PUFA, insoluble fiber, vitamin A, vitamin K, alpha-tocopherol, copper, sodium, and retinol (NP2). The nutrients present in these patterns are characteristic of a diet that is rich in vegetables and milk and their derivatives, and they are related to bone metabolism, demonstrating the importance of nutrition with essential nutrients, especially calcium, phosphorus, magnesium, protein, and vitamin B12 for the maintenance of bone health. Further studies, especially longitudinal ones, are needed to confirm our results, especially with postmenopausal women, who may suffer more from the consequences of bone deterioration.


M = 14.46 ± 1.883 years old). Using SPSS software, descriptive statistics were determined for all variables; mean differences between age and gender were found using ANOVA and the post hoc Scheffe test. Linear regressions with the Enter method were used to study how to predict perceived quality of life and satisfaction with life. Results: Males had scores indicating more SSES|optimism, emotional control, resilience, confidence, sociability, creativity, energy, a sense of belonging to school, and PYD. Girls had better skills for cooperating and relating to teachers but more test anxiety and DASS. Younger adolescents had better psychological health, greater skills, and a better perception of quality of life and life satisfaction when compared to older adolescents. Age, gender, SSES, PYD, and the DASS variables can explain 69% of the variance in life satisfaction, while these variables can explain 60.5% of the variance in perceived quality of life. Conclusions: These results point to the relevance of SSES for psychological health and well-being, suggesting that interventions should focus on promoting these variables, paying special attention to female gender and age-related challenges.Background: After two years of psychological, physical, social, economic, environmental, and societal challenges, this paper examines the psychological health and well-being of Portuguese students based on their socioemotional skills (SSES), positive youth development (PYD), depression, anxiety, and stress (DASS), as well as the relationship between these variables and their influence on perceived quality of life and life satisfaction. Methods: This study examined 3235 students from lower to upper secondary, half of whom were female ( The pandemic had a particularly negative impact on adolescent age groups’ on physical and psychological health ,2, but aConsidering gender disparities, girls were the gender most impacted by the pandemic in terms of psychological health and well-being ,17,18, eWhen examining the various socio-emotional competencies, girls demonstrated greater ability, particularly in social awareness, pro-social behavior, and responsible decision-making, whereas boys demonstrated greater self-management ability and motivation . Taking From a positive developmental analysis perspective , the litA positive development is associated with the efficacy of mental health problem prevention practices ,27,28. PRavens-Sieberer et al.  observedThe present study looks at the psychological health and well-being of Portuguese students based on their socio-emotional skills (SSES), positive youth development (PYD), depression, anxiety, and stress (DASS), as well as the relationship between these variables and their effects on perceived quality of life and life satisfaction.H1. Gender differences exist for socio-emotional skills (SESS), positive youth development (PYD), depression, anxiety, and stress (DASS).H2. Socio-emotional skills (SESS), positive youth development (PYD), and depression, anxiety, and stress (DASS) vary with age.H3. There is a correlation between gender, age, socio-emotional skills (SESS), positive youth development (PYD), depression, anxiety, and stress.H4. Gender, age, socioemotional skills (SSES), positive youth development (PYD), depression, anxiety, and stress (DASS) are predictors of perceived quality of life.H5. Gender, age, socioemotional skills (SESS), positive youth development (PYD), depression, anxiety, and stress (DASS) all predict life satisfaction.With the answers to these hypotheses, we hope to contribute not only to the investigation of the current landscape of the psychological health and well-being of adolescents, which has been extensively studied, but also to the relationship between SSES, PYD, and DASS with perceived quality of life and life satisfaction, which we did not find to be extensively studied and which could be a key focus for the development or adaptation of health promotion interventions.In the study “Psychological Health and Well-being|Observatory of Psychological Health and Well-being: Monitoring and Action”, the Directorate-General for Education and Science Statistics, the Directorate-General for Education, the National Program for the Promotion of School Success, the Aventura Social Team/ISAMB/University of Lisbon, the Order of Portuguese Psychologists, and the Calouste Gulbenkian Foundation collaborated and approved all the instruments used. This investigation began in December 2021 with Ministry of Education approval.The sample consisted of a stratified  and random selection of Portuguese mainland public schools by geographic region/NUTS III . In total, 27 groups of schools were included in which classes were also drawn, including all levels of education available in the school cluster . In February and March 2022, after stratified and random selection of each grade’s classes, the liaison teachers and psychologists of the participating schools administered the data collection instruments in computer rooms. Students only completed online questionnaires with parental informed consent. The application protocol lasted between 20 and 30 min on average. Methods and outcomes are described in detail in the online study report  that is M = 14.46 ± 1.883 years) from lower secondary  to upper secondary . In total, 46.1% of respondents were male, 50% were female, and 3.9% did not respond.This study included 3235 pupils aged 11 to 18  , examinePositive Youth Development , and homogeneity, which was not guaranteed in the majority of the variables, but was prioritized due to the similar number of cases in each subgroup and the robustness of the parametric tests in the face of violation.→Starting with descriptive statistics  for all variables under consideration, ANOVA tests were used to look at differences in means based on gender and level of education. The post hoc Scheffe test was used to control multiple comparisons whenever there were more than two conditions. This test was prioritized since it was intended to investigate all possible contrasts between the means of the groups and can be used when there is or is not an equality of cases in the groups. Using the Pearson test, a cross-sectional analysis was conducted to confirm the relationship between the variables under investigation and to ascertain their magnitude and effect. The correlational analysis and literature review bolstered the need for an in-depth examination of the variables gender, age, SSES, PYD, and DASS in predicting perceived quality of life and life satisfaction.→Linear regressions were performed with the Enter method to assess the prediction of perceived quality of life and life satisfaction. The assumptions of the model, namely normal distribution, homogeneity, and error independence, were analyzed. The first two hypotheses were validated graphically, while the independence hypothesis was validated using the Durbin–Watson test. VIF was utilized to identify multicollinearity. Every outlier was removed.→The significance level was set at 0.05.In the analysis of gender-based mean differences in the scales and subscales SSES , perceived quality of life, life satisfaction, PYD (Positive Youth Development)|competence, confidence, and connection, and DASS |depression, anxiety and stress, statistically significant differences were found in the variables: SSES|optimism, emotional control, resilience/resistance, confidence, sociability, PYD = competence, confidence, and connection; DASS = depression, anxiety, and stress. No statistically significant differences existed between the dimensions of SSES|curiosity and persistence.The male gender showed a higher mean across all domains except SSES|cooperation, relationship with teachers, and test anxiety, DASS|depression, anxiety, and stress .In the study of academic year differences, all variables (except DASS|anxiety) exhibit statistically significant differences when comparing differences in means.Regarding lower secondary, the 7th grade has a higher average in the domains SSES|optimism, emotional control, resilience/resistance, confidence, curiosity, sociability, persistence/perseverance, creativity, energy, cooperation, self-control, sense of belonging to school, bullying, and relationships with teachers; PYD|competence, confidence, and connection; perceived quality of life and life satisfaction, in contrast to the 8th grade. The 8th grade has higher averages for DASS|stress and depression, with less favorable results.With a more positive outlook, the 7th grade only stands out negatively in terms of bullying, while the 9th grade has a lower result.However, in upper secondary, 10th graders have a higher average in the dimensions of optimism, emotional control, resilience/resistance, confidence, curiosity, sociability, persistence/perseverance, creativity, energy, cooperation, self-control, and a sense of belonging to school; PYD|competence, confidence, and connection; perceived quality of life and life satisfaction, compared to 12th graders. Year 12, excluding SSES|curiosity, persistence/perseverance, creativity, cooperation, self-control (11th grade), a sense of school belonging, and relationships with teachers. Year 11 has a higher mean for SSES | bullying and a lower mean for relationships with teachers than Year 12, which stands out favorably. In contrast to the 10th grade, the 12th grade has a higher average in the DASS|stress and depression.In the 8th grade, the means of all SSES dimensions (except test anxiety), PYD, perceived quality of life, and life satisfaction decrease, except DASS|stress and depression, which tend to rise. The dimensions SSES, PYD, and perceived quality of life tend to increase in the 9th grade, then again in the 10th grade, before decreasing in the 11th grade, and, in some cases, tending to decrease in the year that follows (12th grade). Bullying and test anxiety tend to increase in 11th grade.With an improved outlook in 7th grade, a decline in 8th grade, and an improvement in 9th grade, satisfaction with life tends to decline after 9th grade. DASS|stress and depression are also more positive in 7th grade, with an increase in 8th grade, an improvement in 9th grade, and successive increases in subsequent years .In the examination of variable correlations, a significant negative correlation was found between age and SSES|optimism, resilience/resistance, confidence, sociability, energy, sense of belonging to school, bullying, perceived quality of life, and life satisfaction; PYD|competence and connection, indicating that these domains tend to decline with age. Nonetheless, there is a significant positive correlation between age and SSES|cooperation, curiosity, and test anxiety, and DASS|depression and stress.No significant correlations existed between age and the variables SSES|emotional control; PYD|confidence; DASS|anxiety.Overall, significant positive correlations were found between all SSES subscales, suggesting that as one subscale increases, the others tend to increase as well, except bullying, which demonstrates a significant negative correlation with the other subscales. There is no significant correlation between test anxiety and curiosity and bullying, and there is a negative correlation between test anxiety and all subscales except cooperation and relationship with teachers.All variables except SSES|bullying and test anxiety and DASS|depression, anxiety, and stress are significantly and positively correlated with perceived quality of life and life satisfaction. This analysis suggests that as life satisfaction and perceived quality of life increase, so do SSES capabilities.PYD|competence correlates positively and significantly with all domains except age, bullying, test anxiety, and DASS dimensions. Except for the lack of a substantial correlation between age and PYD|confidence, the pattern holds for both PYD|confidence and connection.DASS|stress has a significant correlation with all variables, both positively and negatively, with age, bullying, test anxiety, and other DASS domains|depression and stress. The DASS|depression and anxiety (correlation with age is not significant), exhibit the same trend .A multiple linear regression (Enter method) was conducted using the variable age, gender, PYD, SSES, and DASS to determine the predictability of perceived quality of life after checking for and deleting outliers. Multicollinearity was not an issue as the VIF never exceeded 10 in any of the variables, and the tolerance never fell below. The data do not satisfy the assumption of independent errors . The histogram of standardized residuals and the normal P–P plot of standardized residuals indicated that the error distribution of the data was approximately normal. The data also support the hypothesis of non-zero variances.F(23.2804) = 186.812. p ˂ 0.001. R2 = 0.605. R2Adjusted = 0.602), indicating that the independent variables explain 60.5% of the variance in perceived quality of life , pointing to positive autocorrelation. The histogram of standardized residuals and the normal P–P plot of standardized residuals indicated that the data contained approximately normally distributed errors. The data also met the assumption of non-zero variances.F(23.2802) = 110.879. p ˂ 0.001. R2 = 0.69. R2Adjusted = 0.47) revealing that the total variation in life satisfaction can be explained by 69% by age, gender, and the variables SSES, PYD, and DASS (A multiple regression (Enter method) based on the previous set of independent variables but investigating their prediction of life satisfaction revealed a significant equation , positive youth development (PYD), and depression, anxiety, and stress symptoms (DASS). The results align with earlier studies that suggest that a person’s ability to adjust to environmental challenges has an impact on their overall well-being and quality of life ,18,29. AGender differences exist for SSES, PYD, and DASS. Regarding gender, it was observed that SSES, DASS, PYD, perceived quality of life, and life satisfaction scores were lower for the female group in comparison to the male group. These findings are consistent with previous studies . The lowSSES, PYD, and DASS vary with age. Aging (measured by the school year proxy) was associated with lower levels of emotional health, optimism, resiliency, self-confidence, and sociability. Prior studies have shown a connection between advancing age, increased socioemotional skills deficits, and psychological symptoms , which lAs youth mature and approach maturity, the indicator of bullying tends to decrease. Consistent with the present study, the HBSC 2022 study in Portugal found that younger people were more likely to report being abusers or victims of bullying . SimilarIn our models, aging (measured by the school year proxy) was associated with a lower perception of life satisfaction, but not with perceived quality of life. Growing up implies maturation, but the results indicate a negative impact on the young person’s socio-emotional state. Literature has shown that as individuals grow and develop, they are faced with increasingly complex and difficult challenges related to their personal and environmental circumstances. This can include academic pressure and family issues ,48. MakiIn adolescents’ own words, when students are required to take entrance examinations for higher education in the twelfth grade, test anxiety tends to increase relative to other grades, possibly due to the increased importance of the exams. The difficulties associated with rising student development and school demands may help to explain the negative correlation between this variable and the majority of socioemotional skills. Similar results were found in a national study by Matos et al.  analyzinAge is not a predictor of quality of life perception, unlike gender, SSES, PYD, and DASS. Age, SSES, PYD, and DASS can all predict life satisfaction, but gender is not one of them. According to our results, satisfaction with life is also impacted by SSES|optimism, sense of belonging to school, PYD|confidence, and connection. For their part, SSES|optimism, confidence, curiosity, energy, and PYD|connection reveal a favorable impact on the explanation of perceived quality of life. An interesting result from our perspective is the fact that SSES|bullying does not reveal a negative relationship with perceived quality of life, and in the literature, bullying shows a negative impact on health-related quality of life , or the Promote socio-emotional skills and literacy, adapting to the gender and years of schooling specifics identified here, e.g., proactive work;Increase (or acquisition) clinical psychologists in schools and health facilities, e.g., preventive work;Avoid reactive work, which is required in instances of moderate or severe symptomatology or pathology.It is crucial to understand that, in addition to their academic environment, adolescents’ familial environment has a significant impact on their mental health. According to Matos et al.’s study , adolescRegarding the study’s strengths, it is important to note that it was conducted during the first school year after the return to the new post-COVID-19 normality, allowing us to see the actual situation and the psychological health requirements and characteristics of Portuguese students. In addition, the size of the sample and its stratification by the Portuguese mainland territories enable a country-wide perspective. Third, a period of development analysis between lower and upper secondary has different features. On the other hand, we note that the study is cross-sectional, we cannot be sure that the sample is representative, and we only used one method to collect data.In a subsequent study, in order to comprehend how the model behaves, a more in-depth examination will be conducted by education level and gender.


The use of selective serotonin reuptake inhibitors (SSRIs) has increased exponentially and worldwide in the last decade. Taking into account their tolerability and safety profile, they constitute the first line, in all age groups and in polimedicated population, for treatment of depressive, anxious, and phobic disorders, among others. Although safe, especially when compared to first generation antidepressants, they are not totally exempt of adverse effects, and may cause, especially in this context, some degree of cognitive impairment, which may or may not be completely reversible. On the other hand, and despite the controversy related to the subject, some studies suggest a possible protective effect of this pharmacologic class regard the development of cognitive disfunction, which, although not very consistent, should not be neglected.To understand the cognitive impact of short- and long-term use of SSRIs, given the increasing use in an aging, polymedicated population.SSRIs”, “cognitive”, “impairment”, “adverse effects”, “dementia”.Brief sistematic review of selected articles from Pubmed, Medline and Uptodate databases, with the keywords “SSRIs are not entirely exempt from cognitive effects, despite their recognized safety profile. Some of the adverse effects typically related to the class, such as hyponatraemia, especially when insidious and silent course, as well as anticholinergic activity  interfere with global functionality and may clinically present as mild cognitive impairment or even major neurocognitive disorders. Furthermore, given their potential to induce or inhibit the cytochrome P450 system, they are significantly implicated in pharmacokinetic drugs interactions that increase cognitive burden associated with other psychotropic drugs.In the long term, and in certain patient populations, it has been hypothesized that they may exert some protective effect on physiological and pathological cognitive functions decline, by preventing neuronal death, acetylcholine decrease and amoyloidogenesis.Despite their benign adverse effect profile, when compared with tricyclic antidepressants, SSRIs are not devoid of adverse effects on cognitive domains. However, and despite contradictory and inconsistent results, when well tolerated, SSRIs may confer benefits in terms of preserving global functionality, far beyond the affective symptoms resolution that motivated their introduction in the first place.None Declared