scholarly journals Unsafe and unequal: a decomposition analysis of income inequalities in fear of crime in northern Sweden

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Beáta Vivien Boldis ◽  
Miguel San Sebastián ◽  
Per E. Gustafsson
Keyword(s):  
Fear Of Crime ◽  
Decomposition Analysis ◽  
Northern Sweden ◽  
Income Inequalities

Income inequalities in leisure time physical inactivity in northern Sweden: A decomposition analysis

2019 ◽  
Vol 48 (4) ◽  
pp. 442-451
Author(s):  
Máté Szilcz ◽  
Paola A. Mosquera ◽  
Miguel San Sebastián ◽  
Per E. Gustafsson
Keyword(s):  
Physical Inactivity ◽  
Leisure Time ◽  
Present Report ◽  
Functional Limitations ◽  
Decomposition Analysis ◽  
Minor Importance ◽  
Northern Sweden ◽  
Explanatory Variables ◽  
Income Inequalities ◽  
Psychosocial Conditions

Aims: Increasing income inequalities in leisure time physical inactivity have been reported in the relatively socially equal setting of northern Sweden. The present report seeks to contribute to the literature by exploring the contribution of different factors to the income inequalities in leisure time physical inactivity in northern Sweden. Methods: This study was based on the 2014 Health on Equal Terms survey, distributed in the four northernmost counties of Sweden. The analytical sample consisted of 21,000 respondents aged 16–84. Six thematic groups of explanatory variables were used: demographic variables, socioeconomic factors, material resources, family-, psychosocial conditions and functional limitations. Income inequalities in leisure time physical inactivity were decomposed by Wagstaff-type decomposition analysis. Results: Income inequalities in leisure time physical inactivity were found to be explained to a considerable degree by health-related limitations and unfavourable socioeconomic conditions. Material and psychosocial conditions seemed to be of moderate importance, whereas family and demographic characteristics were of minor importance. Conclusions: This study suggests that in order to achieve an economically equal leisure time physical inactivity, policy may need to target the two main barriers of functional limitations and socioeconomic disadvantages.

scholarly journals Explaining mental health inequalities in Northern Sweden: a decomposition analysis

2017 ◽  
Vol 10 (1) ◽  
pp. 1305814 ◽  
Author(s):  
Nada Amroussia ◽  
Per E. Gustafsson ◽  
Paola A. Mosquera
Keyword(s):  
Mental Health ◽  
Health Inequalities ◽  
Decomposition Analysis ◽  
Northern Sweden

scholarly journals Income-related inequalities in mental health in Sweden and the role of social determinants

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
S Fritzell ◽  
H Källberg ◽  
H Busch ◽  
P Gustafsson
Keyword(s):  
Mental Health ◽  
Psychosocial Factors ◽  
Social Determinants ◽  
Concentration Index ◽  
Decomposition Analysis ◽  
Demographic Factors ◽  
Economic Factors ◽  
Income Inequalities ◽  
Socio Economic Factors

Abstract Background Mental health is an increasing concern in all European countries as the burden of mental disorders continue to grow and cause substantial suffering and costs to societies. Furthermore, research shows there are social inequalities in the distribution of mental illness. This study aims to increase knowledge on income-related inequalities in mental health in Sweden and the role of social determinants. Methods Drawing on a national survey (Health on Equal Terms) representative of the population aged 16-84, years 2010-2015 (n = 57107) we quantify the income-related inequality in mental health and estimate the contribution of social determinants of the inequality. Poor mental health is defined as a value of at least 3, based on the general health questionnaire (GHQ)-12. Income is measured as yearly disposable income. Income related inequalities in mental health are quantified by the concentration index and decomposed using the Wagstaff-type decomposition analysis. Results Preliminary results show that the income inequalities in mental health, as measured by the overall concentration index in mental health was - 0,16 (95% CI -0.17 to -0.15), indicating income inequalities to the disadvantage of those less affluent. The determinants that contributed most to the inequalities were employment, financial strain and experiencing harassment. Together they explained 43 % of the income inequalities in mental health. Generally, socio-economic factors had highest importance for the inequalities found, while demographic factors and psychosocial factors were of smaller importance. Conclusions The income related inequalities in mental health are substantial in Sweden. Recently, a national target of reducing the preventable inequalities in health within a generation was adopted. To improve surveillance of inequalities and inform policy we need to closely follow the development of inequalities in mental health and to disentangle the contribution of specific social determinants. Key messages Income-related inequalities in mental health in Sweden are considerable. Socio-economic factors had highest importance for the inequalities found, while demographic factors and psychosocial factors were of smaller importance.

Income inequalities in asthma and bronchitis in northern Sweden: changes over a 20-year period

2021 ◽  
Author(s):  
Christian Schyllert ◽  
Anne Lindberg ◽  
Linnea Hedman ◽  
Caroline Stridsman ◽  
Martin Andersson ◽  
...  
Keyword(s):  
Northern Sweden ◽  
Income Inequalities

Trends in educational and income inequalities in cardiovascular morbidity in middle age in Northern Sweden 1993–2010

2018 ◽  
Vol 47 (7) ◽  
pp. 713-721 ◽  
Author(s):  
Anna-Karin Waenerlund ◽  
Paola A. Mosquera ◽  
Per E. Gustafsson ◽  
Miguel San Sebastián
Keyword(s):  
Cardiovascular Disease ◽  
Social Inequalities ◽  
Educational Inequality ◽  
Educational Inequalities ◽  
Northern Sweden ◽  
Middle Aged ◽  
Intervention Programme ◽  
Public Health Perspective ◽  
Cross Sectional ◽  
Income Inequalities

Aims: Research is scarce regarding studies on income and educational inequality trends in cardiovascular disease in Sweden. The aim of this study was to assess trends in educational and income inequalities in first hospitalizations due to cardiovascular disease (CVD) from 1993 to 2010 among middle-aged women and men in Northern Sweden. Methods: The study comprised repeated cross-sectional register data from year 1993–2010 of all individuals aged 38–62 years enrolled in the Västerbotten Intervention Programme (VIP). Data included highest educational level, total earned income and first-time hospitalization for CVD from national registers. The relative and slope indices of inequality (RII and SII, respectively) were used to estimate educational and income inequalities in CVD for six subsamples for women and men, and interaction analyses were used to estimate trends across time periods. Results: Educational RII and SII were stable in women, while they decreased in men. Income inequalities in CVD developed differently compared with educational inequalities, with RII and SII for both men and women increasing during the study period, the most marked for RII in women rising from 1.52 in the 1990s to 2.62 in the late 2000s. Conclusions: The trend of widening income inequalities over 18 years in the middle-aged in Northern Sweden, in the face of stable or even decreasing educational inequalities, is worrisome from a public health perspective, especially as Swedish authorities monitor socioeconomical inequalities exclusively by education. The results show that certain social inequalities in CVD rise and persist even within a traditionally egalitarian welfare regime.

scholarly journals Inequality in the Four Provinces of Pakistan

1986 ◽  
Vol 25 (4) ◽  
pp. 685-706 ◽  
Author(s):  
Hans De Kruijk
Keyword(s):  
Income Inequality ◽  
Rural Areas ◽  
Decomposition Analysis ◽  
Relative Importance ◽  
Decomposition Tree ◽  
Labour Income ◽  
Income Inequalities ◽  
Urban And Rural Areas

The purpose of this paper is to analyse, compare and explain income inequalities in the four provinces of Pakistan on the basis of decomposition analysis. Overall income inequality is decomposed into various categories of inequalities in such a manner that the relative importance of each category can be quantified. Decomposition analysis searches for the main origins of income inequality not only within or between provinces, but also within and between urban and rural areas, labour income and non-labour income, etc. Identification of origins of inequality is important if policies aiming at reducing inequalities are considered. Clearly, different causes require different policies. A large 'decomposition tree' built for Pakistan recently [2] which provides information on the components of inequality is presented in the accompanying chart. The structure of inequalities in the four provinces is analysed on the basis of this 'decomposition tree'.

Sign in / Sign up

Export Citation Format

Share Document