Relative index of inequality for being bullied by BMI category, children aged 11-15, 2013‑14, by sex and by country

2019 ◽  
Keyword(s):  
Relative Index ◽  
Being Bullied ◽  
Index Of Inequality ◽  
Relative Index Of Inequality

Social inequalities in self-rated health: A comparative cross-national study among 32,560 Nordic adolescents

2017 ◽  
Vol 46 (1) ◽  
pp. 150-156 ◽  
Author(s):  
Torbjørn Torsheim ◽  
Jens M. Nygren ◽  
Mette Rasmussen ◽  
Arsæll M. Arnarsson ◽  
Pernille Bendtsen ◽  
...  
Keyword(s):  
Young People ◽  
Social Inequalities ◽  
Poor Health ◽  
National Study ◽  
Family Affluence ◽  
Relative Index ◽  
Self Rated Health ◽  
Family Wealth ◽  
Index Of Inequality ◽  
Relative Index Of Inequality

Aims: We aimed to estimate the magnitude of socioeconomic inequality in self-rated health among Nordic adolescents (aged 11, 13 and 15 years) using the Family Affluence Scale (a composite measure of material assets) and perceived family wealth as indicators of socioeconomic status. Methods: Data were collected from the Health Behaviour in School-aged Children (HBSC) survey in 2013–2014. A sample of 32,560 adolescents from Denmark, Norway, Finland, Iceland, Greenland and Sweden was included in the study. Age-adjusted regression analyses were used to estimate associations between fair or poor self-rated health and the ridit scores for family affluence and perceived wealth. Results: The pooled relative index of inequality of 2.10 indicates that the risk of fair or poor health was about twice as high for young people with the lowest family affluence relative to those with the highest family affluence. The relative index of inequality for observed family affluence was highest in Denmark and lowest in Norway. For perceived family wealth, the pooled relative index of inequality of 3.99 indicates that the risk of fair or poor health was about four times as high for young people with the lowest perceived family wealth relative to those with the highest perceived family wealth. The relative index of inequality for perceived family wealth was highest in Iceland and lowest in Greenland. Conclusions: Social inequality in self-rated health among adolescents was found to be robust across subjective and objective indicators of family affluence in the Nordic welfare states.

scholarly journals An Islamic Perspective on Inequality in Pakistan

1992 ◽  
Vol 31 (3) ◽  
pp. 295-316
Author(s):  
Geoffrey A. Jehle
Keyword(s):  
Significant Decline ◽  
Data Series ◽  
Relative Index ◽  
Islamic Perspective ◽  
Urban Rural ◽  
Index Of Inequality ◽  
Relative Index Of Inequality ◽  
Distribution Of Income ◽  
Very High

This paper examines the distribution of income in Pakistan, and in each of its four provinces, from an explicit and formal Islamic perspective. A cardinally significant Atkinson-Kolm-Sen relative index of inequality reflecting that perspective is proposed and computed from the full HIES data series for the years 1984-85, 1985-86, 1986-87, and 1987-88. There is evidence of a significant decline in overall inequality in Pakistan from 1984-85 to 1987-88, but the level of inequality remains very high. Inter-province and inter-urban/rural differences in inequality profiles within Pakistan and each of its provinces are found to be generally less. significant than intra-province and intraurban/ rural differences.

scholarly journals Relative Index of Inequality and Slope Index of Inequality

Epidemiology ◽  
2015 ◽  
Vol 26 (4) ◽  
pp. 518-527 ◽  
Author(s):  
Margarita Moreno-Betancur ◽  
Aurélien Latouche ◽  
Gwenn Menvielle ◽  
Anton E. Kunst ◽  
Grégoire Rey
Keyword(s):  
Relative Index ◽  
Index Of Inequality ◽  
Relative Index Of Inequality

scholarly journals Mapping socioeconomic inequalities in malaria in Sub-Sahara African countries

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gabriel Carrasco-Escobar ◽  
Kimberly Fornace ◽  
Tarik Benmarhnia
Keyword(s):  
Malaria Prevalence ◽  
Socioeconomic Inequalities ◽  
Eastern Africa ◽  
Economic Wealth ◽  
Relative Index ◽  
Incidence And Mortality ◽  
Wide Range ◽  
Index Of Inequality ◽  
Relative Index Of Inequality ◽  
Ssa Countries

AbstractDespite reductions in malaria incidence and mortality across Sub-Saharan (SSA) countries, malaria control and elimination efforts are currently facing multiple global challenges such as climate and land use change, invasive vectors, and disruptions in healthcare delivery. Although relationships between malaria risks and socioeconomic factors have been widely demonstrated, the strengths and variability of these associations have not been quantified across SSA. In this study, we used data from population-based malaria indicator surveys in SSA countries to assess spatial trends in relative and absolute socioeconomic inequalities, analyzed as social (mothers’ highest educational level—MHEL) and economic (wealth index—WI) inequalities in malaria prevalence. To capture spatial variations in socioeconomic (represented by both WI and MHEL) inequalities in malaria, we calculated both the Slope Index of Inequality (SII) and Relative Index of Inequality (RII) in each administrative region. We also conducted cluster analyses based on Local Indicator of Spatial Association (LISA) to consider the spatial auto-correlation in SII and RII across regions and countries. A total of 47,404 participants in 1874 Primary Sampling Units (PSU) were analyzed across the 13 SSA countries. Our multi-country assessment provides estimations of strong socioeconomic inequalities between and within SSA countries. Such within- and between- countries inequalities varied greatly according to the socioeconomic metric and the scale used. Countries located in Eastern Africa showed a higher median Slope Index of Inequality (SII) and Relative Index of Inequality (RII) in malaria prevalence relative to WI in comparison to countries in other locations across SSA. Pockets of high SII in malaria prevalence in relation to WI and MHEL were observed in the East part of Africa. This study was able to map this wide range of malaria inequality metrics at a very local scale and highlighted the spatial clustering patterns of pockets of high and low malaria inequality values.

scholarly journals Domestic violence and abuse related emergency room visits in Ontario, Canada

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sonica Singhal ◽  
Sarah Orr ◽  
Harkirat Singh ◽  
Menaka Shanmuganantha ◽  
Heather Manson
Keyword(s):  
Domestic Violence ◽  
Emergency Room Visits ◽  
Emergency Rooms ◽  
Relative Index ◽  
Efficient Management ◽  
Dissemination Area ◽  
Icd 10 ◽  
Index Of Inequality ◽  
Policies And Programs ◽  
Domestic Violence And Abuse

Abstract Background Hospitals’ emergency rooms (ERs) are generally the first point of contact of domestic violence and abuse (DVA) victims to the health care system. For efficient management and resource allocation for ERs to manage DVA-related emergencies in Canada, it is important to quantify and assess the pattern of these visits. Methods Aggregate DVA-related ER visits data, using relevant ICD-10-CA codes, from 2012 to 2016 were retrieved from IntelliHealth Ontario. The 2011 ON-Marg (Ontario Marginalization) indices were linked at the Dissemination Area level to ER data. Descriptive analyses including total number and rate of visits per 100,000 people were calculated, stratified by age and sex. The Slope Index of Inequality (SII) and Relative Index of Inequality (RII) were also assessed. Results From 2012 to 2016, 10,935 (81.2% by females and 18.8% by males) DVA-related visits were made to ERs in Ontario. An annual average of 25.5 visits per 100,000 females and 6.1 visits per 100,000 males was observed. Residential instability and deprivation were significant predictors of DVA-related ER visits. No particular site of injury was indicated in 38.5% of visits, 24.7% presented with cranio-maxillofacial (CMF) trauma in isolation, 28.9% presented with non-CMF injuries, and 7.9% visits presented with both CMF and non-CMF injuries. Conclusion This study identified that the burden of DVA-related ER visits is large enough to warrant timely public health interventions, and observed that certain populations in Ontario experience more DVA and/or are more prone to its impact. Our findings have important implications for various stakeholders involved in planning and implementing relevant policies and programs.

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