SOCIAL INEQUALITIES IN CHILDREN’S ENVIRONMENTAL QUALITY: THE IMPACT OF INDIVIDUAL SOCIAL CHARACTERISTICS AND FACTORS OF THE NEIGHBOURHOOD SOCIOECONOMIC CONTEXT

2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Inke Thiele ◽  
Gabriele Bolte ◽  
Keyword(s):  
Environmental Quality ◽  
Social Inequalities ◽  
Social Characteristics ◽  
Socioeconomic Context ◽  
The Impact

scholarly journals Social Inequalities and Famine and Severe Food Insecurity Risk

2021 ◽  
Author(s):  
Becky Carter ◽  
Luke Kelly
Keyword(s):  
Food Insecurity ◽  
Gender Gap ◽  
Social Inequalities ◽  
National Level ◽  
Humanitarian Assistance ◽  
Rapid Review ◽  
Social Characteristics ◽  
Regional Food ◽  
Household Level ◽  
The Impact

This rapid review summarises the evidence on the ways in which social inequalities and discrimination affect the risk of famine or severe food insecurity. Looking at the risk at the national and sub-national level, gender and other horizontal inequities can affect a society’s risk of violent conflict and therefore food insecurity, while fragile livelihoods associated with ethnic marginalisation can impact regional food security. At the individual and household level, there is a lack of disaggregated data on people’s social characteristics and famines. There is a broader literature on the impact of systemic discrimination (based on gender, age, disability, sexuality, and ethnic identity) on individuals’ and households’ livelihoods and assets, thereby increasing their vulnerability to food insecurity. A key finding from the literature is the gender gap, with women more at risk of being food insecure than men. Also, some ethnic groups are highly vulnerable particularly in conflict-related famines; starvation is used as a warfare tactic in political and ethnic conflicts. There is evidence of how social inequalities heighten individuals’ risks during food crises and famines, including through exposure to protection threats, while limiting their access to essential services and humanitarian assistance. A broad range of measures seeks to address the multi-dimensional ways in which social inequalities affect vulnerability and resilience to food insecurity.

scholarly journals The Impact of Work Characteristics on Social Distancing: Implications at the Time of COVID-19

2021 ◽  
Vol 18 (10) ◽  
pp. 5074
Author(s):  
Keisuke Kokubun ◽  
Yoshinori Yamakawa
Keyword(s):  
Information Processing ◽  
Multiple Regression ◽  
Explanatory Power ◽  
Work Conditions ◽  
Multiple Regression Model ◽  
Social Characteristics ◽  
Work Characteristics ◽  
Social Distancing ◽  
Using Data ◽  
The Impact

The coronavirus disease (COVID-19) continues to spread globally. While social distancing has attracted attention as a measure to prevent the spread of infection, some occupations find it difficult to implement. Therefore, this study aims to investigate the relationship between work characteristics and social distancing using data available on O*NET, an occupational information site. A total of eight factors were extracted by performing an exploratory factor analysis: work conditions, supervisory work, information processing, response to aggression, specialization, autonomy, interaction outside the organization, and interdependence. A multiple regression analysis showed that interdependence, response to aggression, and interaction outside the organization, which are categorized as ”social characteristics,” and information processing and specialization, which are categorized as “knowledge characteristics,” were associated with physical proximity. Furthermore, we added customer, which represents contact with the customer, and remote working, which represents a small amount of outdoor activity, to our multiple regression model, and confirmed that they increased the explanatory power of the model. This suggests that those who work under interdependence, face aggression, and engage in outside activities, and/or have frequent contact with customers, little interaction outside the organization, and little information processing will have the most difficulty in maintaining social distancing.

scholarly journals Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development

2021 ◽  
Vol 13 (2) ◽  
pp. 858
Author(s):  
Wojciech Kisiała ◽  
Izabela Rącka
Keyword(s):  
Urban Space ◽  
Social Inequalities ◽  
Urban Poverty ◽  
Sustainable Urban Development ◽  
Social Aspect ◽  
City Development ◽  
Residential Properties ◽  
City Structure ◽  
High Level ◽  
The Impact

One of the main pillars of sustainable urban development at the local scale is to control the social aspect of urban equality of socio-economic systems. A number of studies confirm that poverty in urban space is accompanied by negative phenomena, such as high unemployment, social pathologies, increased crime rate, or the high level of the decapitalization of space, including the poor condition of housing and municipal infrastructure. However, there is a gap in defining the relation between urban poverty and city structure to control and preferably minimize social inequalities. The aim of the study was to empirically verify the impact of the location of residential properties in relation to poverty-stricken areas in the city. The research covered the housing market in one Polish city (Kalisz) in the years 2006–2018. By applying GIS technologies, we identified the location of each property in relation to poverty areas. The data was subjected to regression analysis, with the use of the hedonic approach based on exponential models. The analysis of data allowed us to conclude that location in a poorer area does affect the prices of new flats, which is not only a contribution to the development of science, but is also information that could be used by developers or property valuers to establish the prices of flats, as well as city managers to avoid pauperization of urban districts.

scholarly journals COVID-19 Inequalities: Individual and Area Socioeconomic Factors (Aragón, Spain)

2021 ◽  
Vol 18 (12) ◽  
pp. 6607
Author(s):  
Isabel Aguilar-Palacio ◽  
Lina Maldonado ◽  
Sara Malo ◽  
Raquel Sánchez-Recio ◽  
Iván Marcos-Campos ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort ◽  
Social Inequalities ◽  
Deprivation Level ◽  
Social Consequences ◽  
Multilevel Analyses ◽  
The Social ◽  
The Individual ◽  
The Impact ◽  
Second Wave

It is essential to understand the impact of social inequalities on the risk of COVID-19 infection in order to mitigate the social consequences of the pandemic. With this aim, the objective of our study was to analyze the effect of socioeconomic inequalities, both at the individual and area of residence levels, on the probability of COVID-19 confirmed infection, and its variations across three pandemic waves. We conducted a retrospective cohort study and included data from all individuals tested for COVID-19 during the three waves of the pandemic, from March to December 2020 (357,989 individuals) in Aragón (Spain). We studied the effect of inequalities on the risk of having a COVID-19 confirmed diagnosis after being tested using multilevel analyses with two levels of aggregation: individuals and basic healthcare area of residence (deprivation level and type of zone). Inequalities in the risk of COVID-19 confirmed infection were observed at both the individual and area level. There was a predominance of low-paid employees living in deprived areas. Workers with low salaries, unemployed and people on minimum integration income or who no longer receive the unemployment allowance, had a higher probability of COVID-19 infection than workers with salaries ≥ €18,000 per year. Inequalities were greater in women and in the second wave. The deprivation level of areas of residence influenced the risk of COVID-19 infection, especially in the second wave. It is necessary to develop individual and area coordinated measures by areas in the control, diagnosis and treatment of the epidemic, in order to avoid an increase in the already existing inequalities.

scholarly journals Clinical and social factors associated with attention-deficit hyperactivity disorder medication use: population-based longitudinal study

2014 ◽  
Vol 205 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Cédric Galéra ◽  
Jean-Baptiste Pingault ◽  
Grégory Michel ◽  
Manuel-Pierre Bouvard ◽  
Maria Melchior ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Psychiatric Comorbidity ◽  
Medication Use ◽  
Population Based ◽  
Social Characteristics ◽  
Adhd Medication ◽  
Social Variables ◽  
Hyperactivity Disorder ◽  
The Impact

BackgroundThe impact of longitudinal psychiatric comorbidity, parenting and social characteristics on attention-deficit hyperactivity disorder (ADHD) medication use is still poorly understood.AimsTo assess the baseline and longitudinal influences of behavioural and environmental factors on ADHD medication use.MethodSurvival regressions with time-dependent covariates were used to model data from a population-based longitudinal birth cohort. The sample (n = 1920) was assessed from age 5 months to 10 years. Measures of children's psychiatric symptoms, parenting practices and social characteristics available at baseline and during follow-up were used to identify individual and family-level features associated with subsequent use of ADHD medication.ResultsUse of ADHD medication ranged from 0.2 to 8.6% between ages 3.5 to 10 years. Hyperactivity–inattention was the strongest predictor of medication use (hazard ratio (HR) = 2.75, 95% CI 2.35–3.22). Among all social variables examined, low maternal education increased the likelihood of medication use (HR = 2.09, 95% CI 1.38–3.18) whereas immigrant status lowered this likelihood (HR = 0.40, 95% CI 0.17–0.92).ConclusionsBeyond ADHD symptoms, the likelihood of receiving ADHD medication is predicted by social variables and not by psychiatric comorbidity or by parenting. This emphasises the need to improve global interventions by offering the same therapeutic opportunities (including medication) as those received by the rest of the population to some subgroups (i.e. immigrants) and by diminishing possible unnecessary prescriptions.

Wzbogacona rzeczywistość a nierówności społeczne

2021 ◽  
Vol 66 (2) ◽  
pp. 80-93
Author(s):  
Piotr Nieradka ◽  
Keyword(s):  
Social Inequality ◽  
Digital Divide ◽  
Social Inequalities ◽  
Individual Characteristics ◽  
Advanced Technology ◽  
Original Research ◽  
Augmented Reality Technology ◽  
Digital Gap ◽  
The One ◽  
The Impact

This paper focuses on the technology of extended reality, whereby the aim is to draw attention to selected issues related to technology and solutions in the extended reality area in the context of social inequalities. The first part of the article discusses the essence of extended reality technology, paying attention to its place in the modern economy, along with a description of such solutions. The remainder of the study focuses on the issue of social inequality, with particular emphasis on the impact of extended reality on the problem of the digital gap and digital divide. The article presents the results of original research undertaken on a group of 88 respondents with both CAWI and equipment supporting augmented reality technology, of which 39.36% declared testing with this type of equipment in the past. The article also presents the results of original research with the use of XR equipment. XR-related solutions are currently still perceived as luxury goods, despite both the increasing availability for users and undoubtedly unique advantages. These include realism of generated experiences and the phenomenon of immersion in the synthetic world. The analysis of the role of such solutions in the context of social inequality provides a conclusion about their dichotomous nature. On the one hand, by popularizing the XR technology, the possibility of overcoming barriers and inequalities resulting from individual characteristics or social position is created, which leads to the improvement in the life situations of some people who have been struggling with exclusion so far. On the other hand, it provides the conclusion that such advanced technology entering everyday life has the potential to create another digital divide, which in the long term will result in increasing digital disproportions and exclusion.

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