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Social determinants of mental and physical health that influence young peoples' trajectories into adulthood are often remediable through law. To address inequalities, including those exacerbated since the COVID-19 pandemic, there is a need to better understand young people's need for and uptake of advice for social welfare legal problems. This scoping review aimed to review available evidence and identify gaps to inform further research. To identify studies relevant to social welfare legal advice among young adults we conducted searches of eight bibliographic databases (compiled between January 1998 and June 2020), hand searches of included article reference lists and targeted grey literature searches. 35 peer reviewed and grey literature studies were selected based on inclusion and exclusion criteria including evaluations of interventions to promote access to advice, general population surveys, observational studies, and audits of charity data or targeted surveys. Evidence suggests considerable and inequitable need for social welfare legal advice among young adults with adverse consequences for health and wellbeing. Needs among higher risk groups are likely underestimated. Evidence for interventions to enhance access/uptake of advice is limited and methodologically weak. We identify several gaps in the literature to inform research and to enable systematic reviews around more specific questions to inform practice.
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Nowadays, the social dimension of product sustainability is increasingly in demand, however, industrial designers struggle to pursue it much more than the environmental or economic one due to their unfamiliarity in correlating design choices with social impacts. In addition, this gap is not filled even by the supporting methods that have been conceived to only support specific areas of application. To fill this gap, this study proposed a method to support social failure mode and effect analysis (SFMEA), though the automatic failure determination, based on the use of a chatbot (i.e., an artificial intelligence (AI)-based chat). The method consists of 84 specific questions to ask the chatbot, resulting from the combination of known failures and social failures, elements from design theories, and syntactic structures. The starting hypothesis to be verified is that a GPT Chat (i.e., a common AI-based chat), properly queried, can provide all the main elements for the automatic compilation of a SFMEA (i.e., to determine the social failures). To do this, the proposed questions were tested in three case studies to extract all the failures and elements that express predefined SFMEA scenarios: a coffee cup provoking gender discrimination, a COVID mask denying a human right, and a thermometer undermining the cultural heritage of a community. The obtained results confirmed the starting hypothesis by showing the strengths and weaknesses of the obtained answers in relation to the following factors: the number and type of inputs (i.e., the failures) provided in the questions;the lexicon used in the question, favoring the use of technical terms derived from design theories and social sustainability taxonomies;the type of the problem. Through this test, the proposed method proved its ability to support the social sustainable design of different products and in different ways. However, a dutiful recommendation instead concerns the tool (i.e., the chatbot) due to its filters that limit some answers in which the designer tries to voluntarily hypothesize failures to explore their social consequences.
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The COVID-19 pandemic has struck educational experience systems around the globe. This paper investigates and evaluates the student participants' perceptions who joined the international exchange seminar on global citizenship and peace held at a University in Hiroshima, Japan. Approximately seventy students and faculty members from nine to ten different universities from around the globe joined this summer program in August 2021 (online) and 2022 (face-to-face). This study is a mixed-method study. The first part consists of a quantitative analysis of BEVI data obtained from the students in the seminar before COVID-19 and after. The research concludes that there are no changes in the effects of what students learn. The second part consists of qualitative data. The data shows the perceptions of students of online teaching versus hybrid teaching. It compares the differences in participants' perceptions reported in students' feedback on the programs during and post-COVID-19. Our results confirm prominent differences exist in the students' perceptions of their learning experience during the pre-pandemic and post-pandemic periods. The findings indicate based on lessons learned post-pandemic, universities need to strive and define the meaning and purpose of international seminars, which enable students to experience a high level of intercultural social interaction online and face-to-face. As the world becomes more interconnected, virtual environments, such as the ones presented within the International Seminar in Hiroshima, Japan, are vital to facilitating intercultural teaching environments and the implications within this paper indicate that these virtual mediums can promote inclusion, leading to a more sustainable world.
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BackgroundRheumatoid Arthritis (RA) patients are effectively treated with anti-TNF-α therapy. However, pharmacological non-adherence limits the achievement of the therapeutic objective. This is a multifactorial behavior where factors such as the route of administration, frequency, tolerance, perception of improvement, polypharmacy and social factors are involved [1,2].ObjectivesTo explore the factors associated with non-adherence to anti TNF-α in RA patients during the COVID-19 pandemic.MethodsThis is a cohort of RA patients treated with anti TNF-α in Medicarte SAS, a Colombian center for Immune-Mediated Diseases, between January to December 2021. The program implements strategies such as pharmacotherapeutic support, informed dispensing, phone calls, text messages and home care services to increase adherence. Adherence was defined as dispensing at least 10/12 (>0.80) prescribed monthly doses for 1 year. Sociodemographic characteristics, time in the program, DAS28-CRP, HAQ and treatment were included as exposure variables. For continuous variables, median and interquartile range (IQR) were calculated. Adjusted Odds Ratio (AOR) with logistic regression were calculated, and a p-value <0.05 was considered as statistically significant.Results565 patients were included, 85.8% (n=485) were women, median age 56 years (IQR: 49-65), disease evolution time 13.7 years (IQR: 7.7-20.8), 51% (n=288) had been in the program for more than 3 years, the median time in treatment with anti TNF-α was 3 years (IQR: 1-3) and DAS-28-CRP 2.4 (IQR: 1.6-3.4). The most frequently anti TNF-α prescribed was etanercept 46.0% (n=260), followed by adalimumab 23% (n=130), subcutaneous golimumab 13.3% (n=75), certolizumab 11.0% (n=62) and intravenous golimumab 6.7% (n=38). At the admission, 18.2% (n=103) of the patients had high activity, 38.6% (n=218) mild activity, 9.2% (n=52) low activity and 34% (n=192) were in remission. At the end of follow-up, 6.4% (n=36) of patients had high activity, 18.2% (n=103) mild activity, 14.3% (n= 81) low activity and 61.1% (n= 345) were in remission. The 51.5% (n=291) did not have pharmacological adherence. The use of etanercept (AOR 0.36 CI95% 0.23- 0.58, p < 0.001) and adequate functionality measured through HAQ (AOR 0.64 CI95% 0.42- 0.97, p < 0.04) were associated with a lower risk of non-adherence. Higher DAS28-CRP at the end of follow up was associated with non-adherence (AOR 1.29 CI95% 1.12 - 1.48, p < 0.001).ConclusionDuring COVID-19 pandemic, the implementation of strategies in the home care patient program guaranteed adherence close to 50% in our cohort. Higher values of DAS28-CRP were associated with non-adherence, whilst etanercept use and a normal HAQ value were associated with a higher probability of adherence.References[1]Marengo MF, Suarez-Almazor ME. Improving treatment adherence in patients with rheumatoid arthritis: what are the options? Int J Clin Rheumtol. 2015 Oct 1;10(5):345-356.[2]Smolen JS, Gladman D, McNeil HP, Mease PJ, Sieper J, Hojnik M, et al. Predicting adherence to therapy in rheumatoid arthritis, psoriatic arthritis or ankylosing spondylitis: a large cross-sectional study. RMD Open. 2019 Jan 11;5(1):e000585.Acknowledgements:NIL.Disclosure of InterestsWilmer Gerardo Rojas Zuleta Speakers bureau: Pfizer, Jannsen Cilag, Bristol Myers Squibb, Amgen, Eli lilly, Mario Barbosa: None declared, Oscar Jair Felipe Díaz Speakers bureau: Pfizer, Jannsen Cilag, Bristol Myers Squibb, Amgen, Eli lilly, Adelis Enrique Pantoja Marquez: None declared, Jeixa Canizales: None declared, Carolina Becerra-Arias: None declared, Jorge Hernando Donado Gómez: None declared, Natalia Duque Zapata: None declared.
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Traditional villages are a valuable cultural asset that occupy an important position in Chinese traditional culture. This study focuses on 206 traditional villages in Hebei Province and aims to explore their spatial distribution characteristics and influencing factors using ArcGIS spatial analysis. The analysis shows that traditional villages in Hebei Province were distributed in clusters during different historical periods, and eventually formed three core clusters in Shijiazhuang, Zhangjiakou and Xingtai-Handan after different historical periods. Moreover, the overall distribution of traditional villages in Hebei Province is very uneven, with clear regional differences, and most of them are concentrated in the eastern foothills of the Taihang Mountains. To identify the factors influencing traditional villages, natural environmental factors, socio-economic factors, and historical and cultural factors are considered. The study finds that socio-economic and natural environmental factors alternate in the spatial distribution of traditional villages in Hebei Province. The influence of the interaction of these factors increases significantly, and socio-economic factors have a stronger influence on the spatial distribution. Specifically, the spatial distribution of traditional villages in Hebei Province is influenced by natural environmental factors, while socio-economic factors act as drivers of spatial distribution. Historical and cultural factors act as catalysts of spatial distribution, and policy directions are external forces of spatial distribution. Overall, this study provides valuable insights into the spatial distribution characteristics and influencing factors of traditional villages in Hebei Province, which can be used to develop effective strategies for rural revitalisation in China.
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This paper clarifies the medical and socio-economic factors affecting the prevalence of COVID-19 by using clinical and survey data in a binary probit model. Socio-economic factors are associated with risk of infection and can increase exposure to and mortality from COVID-19. Inequalities in socio-economic variables affect the prevalence to different degrees. Disparities in education and poverty are more important than being employed or being a smoker for the spread of COVID-19, we find evidence that confirms the hypothesis.
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Poor food environments are considered to trigger obesity and related health complications by restricting the local food options to predominantly low quality, energy-dense foods. This study investigated the impact of the food environment on obesity with a focus on any changes that might have occurred around the COVID lockdown period in the UK when majority of the population relied on food delivery and the local food environments. The proportion of fast-food retailers in the area and the Retail Food Environment Index (RFEI) were calculated for participants of the 1970 British Cohort Study (BCS70) at three timepoints: pre-COVID (2016), the first UK nation-wide lockdown (April–May 2020) and post lockdown (September–October 2020). The association of the food environment and the odds of obesity was estimated through multivariable logistic regression, with adjustments being made for selected socioeconomic variables. A model using the fast-food proportion as the sole predictor estimated that higher fast-food proportion increased the odds of obesity by 2.41 in 2016, 2.89 during the lockdown and 1.34 post lockdown, compared with 1.87, 2.23, and 0.73, respectively, for the same three periods with adjustments being made for select socioeconomic variables. On the other hand, RFEI increased the odds of obesity only slightly at 1.01, 1.02 and 1.03, respectively, with the model with adjustments yielding respective similar values. The fast-food proportion model indicates that proximity to a poor food environment is linked to obesity, especially during the COVID lockdown period, but the impact of a poor-food environment is limited if the RFEI is used as its indicator. The findings will add much needed insights on the UK data and will inform public health planning and policy.
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Emerging evidence suggests that the COVID-19 pandemic has extracted a substantial toll on immigrant communities in the United States, due in part to increased potential risk of exposure for immigrants to COVID-19 in the workplace. In this article, we use federal guidance on which industries in the United States were designated essential during the COVID-19 pandemic, information about the ability to work remotely, and data from the 2019 American Community Survey to estimate the distribution of essential frontline workers by nativity and immigrant legal status. Central to our analysis is a proxy measure of working in the primary or secondary sector of the segmented labor market. Our results indicate that a larger proportion of foreign-born workers are essential frontline workers compared to native-born workers and that 70 percent of unauthorized immigrant workers are essential frontline workers. Disparities in essential frontline worker status are most pronounced for unauthorized immigrant workers and native-born workers in the secondary sector of the labor market. These results suggest that larger proportions of foreign-born workers, and especially unauthorized immigrant workers, face greater risk of potential exposure to COVID-19 in the workplace than native-born workers. Social determinants of health such as lack of access to health insurance and living in overcrowded housing indicate that unauthorized immigrant essential frontline workers may be more vulnerable to poor health outcomes related to COVID-19 than other groups of essential frontline workers. These findings help to provide a plausible explanation for why COVID-19 mortality rates for immigrants are higher than mortality rates for native-born residents.
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The negative consequences of the COVID-19 pandemic on mental health have been widely reported, but less is known about how the impact of COVID-19 on others in one's social circle shapes these high distress levels. This study examines associations between social COVID-19 exposure-knowing someone who had a COVID-19 infection-and psychological functioning, as well as whether socio-demographic factors moderate these relationships. In June 2020, respondents (N = 343) from clinics in Tampa, Florida, U.S.A. reported whether they had social COVID-19 exposure, anxiety, depression, and stress, and other COVID-19-related concerns. Social COVID-19 exposure was associated with increased anxiety, stress, and concerns about a family member getting sick, and concerns about drinking and substance use. Several associations between exposure and psychological functioning were stronger in women, younger people, and people with lower income, implying these groups face elevated psychological risks due to the pandemic, and should be prioritized in mental health recovery efforts.
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The article highlights social factors of mental health and well-being of older Russians based on the results of wave sociological studies of the perceived quality of life for 2002-2019 and the author's representative survey of older Russians in 2022. Age, gender and employment are the most significant determinants not only of social activity, but also of mental health and emotional well-being. At the same time, the study shows that the pandemic had a multidirectional impact on perceived quality of life among older Russians. Compared to the pre-pandemic situation, after the relaxation of restrictive measures, the parameter of social activity increased significantly, the parameter of mental health remained virtually unchanged, but the emotional problems of elderly Russians became more acute. Due to the severe restrictions for older people, the long period of isolation, and for working pensioners - also due to the need to restructure their work remotely - stress, anxiety and worry have affected everyday life.
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Is observed a structure of five factors: representations, habitus, fields, capital, capabilities and enterprise that explained 54% of the total variance explained, although the research design limited findings local scenario, suggesting the inclusion of variables that the literature identifies Sociodemographic and socioeconomic variables to establish entrepreneurial profiles according to risk events;landslides, fires, droughts, floods, frosts or earthquakes. If a representation links coffee farming with other personal or community needs, then it supposes provisions that facilitate the objectification or anchoring of information related to sowing, harvesting, weather, pests, prices and prices. Faced with the environmental problems of droughts or floods, social capital networks in Xilitla respond with organization of the crop in diversified stages but confined to the achievement of goals that guarantee the productive cycle. The representations are discursive innovations from which scientific knowledge is disseminated in common sense and social thought, although this is exclusive of not only science, art or culture in general since the symbols to discover or invent are also prone to its transformation into interpretations of reality and more primarily discursive senses.
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This research designed to discover the relationship between the exposure of social media and social comparison level, taking Instagram as a model based on age, social status, educational level, job, frequency of opening Instagram daily and numbers of hours spend on the app per day as study variables to discover if there are relationships between these variables and social comparison level among Palestinian females Instagram users. This research is a descriptive study used the survey methodology that depended on pre- prepared questionnaire was developed by Sharmaa, et al. (2022). The internal consistency was checked by Cronbach's Alpha Coefficient. The values of the test were above 0.9, point out excellent (1.0–0.90) reliability for all the constructs (Sharma, et al., 2022). The sample included 140 Palestinian females who have an effective Instagram application and use it periodically. Frequencies tables and One Way ANOVA test were used by SPSS program to examine the hypothesis of the study. Six statistical hypotheses were tested. Results from data analyzing found that there is no significant statistical relationship between the exposure to Instagram and social comparison level based on age, educational level, social status, job, frequency of opening the app per day and number of hours spend on the app per day. The research found that the sample's majority expressed that Others' Instagram posts inspire and motivate them. Also,half of the sample care about the way the others interact with their posts and think that people present themselves on Instagram in a different way compared to reality and that they don't make positive or negative judgments on others based on their number of likes and followers.
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Su, B.;Guan, C.;An, Q., and Wang, Q., 2020. Analysis and countermeasures of the influence of COVID-19 on the commodity category of port export in China: Taking Shanghai Port as an example. In: Liu, X. and Zhao, L. (eds.), Today's Modern Coastal Society: Technical and Sociological Aspects of Coastal Research. Journal of Coastal Research, Special Issue No. 111, pp. 298–301. Coconut Creek (Florida), ISSN 0749-0208.Since the end of 2019, the novel coronavirus has spread rapidly, which has affected the economy, social interaction, and foreign trade, both in China and around the world. Import and export trade has become an organic part of China's national economy. Import and export trade accounts for nearly 35% of the national economy, which is a major part of China's economic growth. This article takes Shanghai Port as an example, collecting and analyzing the exporters of Shanghai Port in China from January to May 2020. Compared with the relevant data of the same period in 2019, this article discusses the major commodity categories that are affected by the epidemic situation in the export trade volume of Shanghai Port, giving countermeasures according to the influence situation in order to stabilize the quantity of this category in the future and reduce the risk of lower port trade volume of the export commodity categories affected by public health emergencies in China's port trade. At the same time, some suggestions and countermeasures are given to the ecological environment problems affecting the sustainable development of ports.
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Recent research has mostly examined the role of health communication technology (HCT) in patient empowerment and in producing patient-focused outcomes. This study examines HCT in a larger context where it is used as a tool to improve public health. The objective is to examine how HCT is used to monitor Covid-19's spread, and how social factors affect individual assessment of HCT and individual compliance disposition of Covid-19 guidelines. Analyzing data collected from 360 HCT users suggests that the information and system quality of HCT indeed impact users' assessment of its effectiveness and their compliance disposition. However, such effects are strongly mediated by social factors: Peer influence and government trust can sway an individual's cognitive judgments of Covid-19 regardless of HCT's impacts. The findings highlight the importance of social factors in pandemic management and the need to socialize health informatics to make them more effective.
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2020 (Introduction) Jennifer C. Nash and Samantha Pinto 125 Abolish Marisol LeBrón 128 Asynchronous Monica L. Miller 134 COVID Silver Linings Ann Cvetkovich 139 Essential Worker Julie Livingston 144 Food-in-Place (Shelter-in-Place) Psyche Williams-Forson 148 Mask Ruha Benjamin 151 Mutual Aid Christina Hanhardt 152 PPE Harris Solomon, Neelima Navuluri, Charles W. Hargett, Peter S. Kussin 158 Risk Factor Noémi Tousignant 163 Social Distancing Joshua Chambers-Letson 169 Stay at Home Tiana Reid 175 Supply Chain Management Miriam Posner 178 Synchronous Racquel Gates 181 Wave/Forest Fire Sari Altschuler 187 Zoom Gayle Wald 192 Zoonosis (Virus) Banu Subramaniam 196 2020 Jennifer C. Nash and Samantha Pinto Academic projects are often born from desire. Essential workers—disproportionately Black and Brown—were ordered to continue working, while others began "panic baking" and "panic shopping" (the disappearance of flour, yeast, and toilet paper from grocery stores marked the first quarter of the year).1 While some buried their dead in anguish and isolation,2 others purchased real estate, thanks to record-low interest rates and new demands for more space as houses were transformed into offices and schools.3 In some ways, this is a quintessentially American story—the variety of ways that crisis is experienced and inhabited, with the starkest and most deathly outcomes reserved for those most precarious as the capitalist machine keeps rolling along. Bleeding into 2021, crisis and critique have merged into a lexicon that is repeated, rehearsed, rehashed, remade.5 These terms have become part of a collective vocabulary, a shared index for describing the relentless conditions of the present, even as that present is experienced and endured differently. Media has obsessively reported that this is a crisis that mostly women are bearing, but universities have done far too little to recognize these facts on the ground for caretakers, including the return to in-campus teaching when vaccines are not available for children under twelve.6 We name this as two senior scholars, keenly aware of how "home-schooling" disproportionately affects junior women scholars and primary caretaker colleagues navigating the dual demands of tenure and caregiving. [...]the same is true of race, as institutions have begun diversity trainings, hired diversity coordinators, promised diversity cluster hires, and launched university-wide reckonings with race and "DEI."
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-The pervasive role of the COVID-19 pandemic in the economy and subjective well-being is the focus of this research study. There is extensive evidence suggesting a relationship between psychological well-being and income. In this study, we make use of data collected during the pandemic in the fall of 2021 from a cross-sectional online survey of Albanian adults living and working in the country. This study examines the association between average income level, age, civil status, and level of education with psychological well-being during the pandemic. We examined the data through descriptive statistics and Chi-square tests. We synthesize a wide range of information from the literature on well-being and economy and use the Wellbeing Index as a standardized scale. According to the study's findings, income level is relatively related to happiness. The general well-being of the population under investigation is below average. Young and single people have a higher quality of life. In conclusion, economic and social variables are essential and related to psychological well-being. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.
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Certain populations have been excluded from the benefits of telehealth and the recent advances and widespread use of technology in health promotion due to limited technology access. Although research has identified these specific groups, none has explored these issues using the social determinants of health (SDH) framework. This exploratory study aimed 1) to investigate technology access and 2) to identify associated SDHs. A cross-sectional research design was implemented, and participants were recruited from rural Alabama (N=185). Binary logistic regressions were conducted. Only 60% of participants had technology access. People with food insecurity and health illiteracy were less likely to have internet and PC/tablet access. In addition, older age was associated with a lower likelihood of access to a smartphone. This study provided insights into SDH correlates of the digital divide, particularly among rural African Americans, and indicated that addressing affordability could be a partial solution.
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Study aim: To identify symptoms of depression, anxiety, and stress in Brazilian university students of both sexes and the association of physical activity parameters during the COVID-19 pandemic.Material and methods: An online cross-sectional study was conducted from March to April 2021. Data on occupational and social variables and mental health symptoms were investigated using the Beck Anxiety Inventory, Hamilton depression rating scale, and Perceived Stress Scale questionnaires. Physical activity levels were assessed using the International Physical Activity Questionnaire.Results: In total, 277 college students over eighteen years old participated in the study (66% female;46.7% brown race). Higher scores and symptoms of anxiety and depression were observed in women (p < 0.0001). Anxiety symptoms were negatively associated with physical activity levels in women. Sedentary time, including sitting correlated with depression scores in women (r = 0.171;p < 0.05).Conclusions: University students are a risk group for the appearance of symptoms related to mental health. In addition, these disorders occur more frequently in females, and sedentary habits, such as more time sitting, were related to higher scores in depression and anxiety.
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Financial distress is a research topic in finance that has attracted attention from academia following past financial crises. Although previous studies associate financial distress with several elements, the relationship between distress and ESG has not been broadly explored. This paper investigates these issues by elaborating a Dynamic Network DEA model to address the underlying connections between accounting and financial indicators. Thus, a model that includes profit and loss, balance sheet, and capital and operating expenditures indicators is demonstrated under the dynamic network structure to compute financial-distress efficiency scores. Then, the impact of carryovers is considered for the accurate calculation of efficiency scores for the three substructures. The influence of contextual variables, such as socioeconomic and macroeconomic variables, and whether the firm owns an ESG Risk Score or not, is assessed through a stochastic non-linear model that combines three distinct regression types: Simplex, Tobit, and Beta. The results indicate that firms that hold an ESG Risk Score are less prone to be in financial distress, and Governance Score is negatively associated with financial distress efficiency.
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Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.