Abstract 2630: Lower Socioeconomic Status is Associated with Higher Rates of First Hospitalization for Stroke and Subsequent Case Fatality: A Population Study of 5.1 Million People in Scotland 1985–2005

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Pardeep S Jhund ◽  
James Lewsey ◽  
Michelle Gillies ◽  
James Chalmers ◽  
Adam Redpath ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Cox Regression ◽  
Case Fatality ◽  
Mortality Data ◽  
Lower Socioeconomic Status ◽  
Stroke Subtype ◽  
Model Case ◽  
Stroke Incidence ◽  
Hospitalization Rates ◽  
Lower Socioeconomic

Introduction Small, age or geographically restricted studies suggest that stroke incidence and case fatality increase with lower socioeconomic status (SES). We examined the relationship between SES and stroke incidence and case fatality in a whole country. Methods Linked morbidity and mortality data were used to identify all first hospitalizations in Scotland where stroke was coded in the principal diagnostic position at discharge from 1986 –2005. SES was measured using the quintiles of Carstairs index of deprivation (quintile 1= most affluent, 5=most deprived). Age and sex specific incidence rates by SES were calculated. Cox regression was used to model case-fatality by SES at 30 days, 1 and 5 years adjusted for comorbidities. Results From 1986 –2005 73,676 men and 88,808 women were admitted with a first stroke. In men (women) 11575 (14713) occurred in individuals in deprivation quintile 1 and 15800 (19022) in quintile 5. Rates of stroke were higher in the most deprived vs the most affluent individuals. In 1986, in men aged <55, 55– 64, 65–74, 75– 84 and >85 years, the rate ratios (deprived vs affluent) were 2.05(1.46 –2.87), 1.82(1.38 –2.38), 1.56(1.27–1.92), 1.06(0.87–1.31) and 1.16(0.78 –1.74) respectively. In women the respective ratios were 2.57(1.71–3.87), 2.06(1.50 –2.83), 1.62(1.32–1.99), 1.27(1.09 –1.49) and 1.36(1.07–1.74). These gradients persisted from 1986 to2005 in both men and women and in all ages. Adjusted case fatality did not vary by SES at 30 days,, HR (deprived vs affluent) = 1.01(95%CI 0.96 –1.06) in men, 1.03(0.99 –1.08) in women. However, at 30 days-1 year the HR was 1.17(1.09 –1.24) in men and 1.11 (1.05–1.17) in women. At 1–5 years the HRs were 1.20(1.13–1.26) in men and 1.14(1.09 –1.20) in women. The effect of SES on case fatality and hospitalization rates did not vary by year or stroke subtype (p for interactions >0.05). Conclusion Not only are stroke hospitalization rates highest in the most deprived individuals, but adjusted longer term case fatality after discharge is also higher. There is no evidence that this disparity is decreasing over time.

scholarly journals Social Disparities in Adopting Non-pharmaceutical Interventions During COVID-19

2021 ◽  
pp. 0169796X2199685
Author(s):  
Svenn-Erik Mamelund ◽  
Jessica Dimka ◽  
Nan Zou Bakkeli
Keyword(s):  
Socioeconomic Status ◽  
Survey Data ◽  
Public Transportation ◽  
Positive Association ◽  
Social Disparities ◽  
Lower Socioeconomic Status ◽  
Home Office ◽  
Disease Outcomes ◽  
Lower Socioeconomic ◽  
Pharmaceutical Interventions

In the absence of vaccines to fight the COVID-19 pandemic, in 2020 governments had to respond by rely on non-pharmaceutical interventions (NPIs). Socioeconomic inequalities likely influenced the uptake of NPIs. Using Norwegian survey data, we study whether income was associated with increased handwashing, keeping 1 m distance, using facemasks increased use of home office, and less use of public transportation. Except for using facemasks and less public transportation in a non-work context, all analyzed NPIs showed an independent positive association with income. Social disparities in NPI uptake may be important drivers of higher risks of disease outcomes for people of lower socioeconomic status.

Abstract 88: Social Inequalities in Stroke Mortality, Incidence and Case-fatality in Europe.

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Marco M Ferrario ◽  
Giovanni Veronesi ◽  
Kari Kuulasmaa ◽  
Martin Bobak ◽  
Lloyd E Chambless ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Inequalities ◽  
Cox Regression ◽  
Case Fatality ◽  
Stroke Mortality ◽  
Stroke Incidence ◽  
Low Education ◽  
Mortality Incidence ◽  
European Populations

Introduction and aim: There are limited comparative data on social inequalities in stroke morbidity across Europe. We aimed to assess the magnitude of educational class inequalities in stroke mortality, incidence and 1-year case-fatality in European populations. Methods: The MORGAM study comprised 45 cohorts from Finland, Denmark, Sweden, Northern Ireland, Scotland, France, Germany, Italy, Lithuania, Poland and Russia, mostly recruited in mid 1980s-early 90s. Baseline data collection and follow-up (median 12 years) for fatal and non-fatal strokes adhered to MONICA-like procedures. Stroke mortality was defined according to the underlying cause of death (ICD-IX codes 430-438 or ICD-X I60-I69). We derived 3 educational classes from population-, sex- and birth year-specific tertiles of years of schooling. We estimated the age-adjusted difference in event rates, and the age- and risk factor-adjusted hazard ratios (HRs), between the bottom and the top of the educational class distribution from sex- and population-specific Poisson and Cox regression models, respectively. The association between 1-year case-fatality and education was estimated through logistic models adjusted for risk factors. Results: Among the 91,563 CVD-free participants aged 35-74 at baseline, 1037 stroke deaths and 3902 incident strokes occurred during follow-up. Low education accounted for 26 additional stroke deaths per 100,000 person-years in men (95%CI: 9 to 42), and 19 (7 to 32) in women. In both genders, inequalities in fatal stroke rates were larger in the East EU and in the Nordic Countries populations. The age-adjusted pooled HRs of first stroke, fatal or non-fatal, for the least educated men and women were 1.52 (95%CI: 1.29-1.78) and 1.51 (1.25-1.81), respectively, consistently across populations. Adjustment for smoking, blood pressure, HDL-cholesterol and diabetes attenuated the pooled HRs to 1.34 (95%CI: 1.14-1.57) in men and 1.29 (1.07-1.55) in women. A significant association between low education and increased 1-year case-fatality was observed in Northern Sweden only. Conclusions: Social inequalities in stroke incidence are widespread in most European populations, and less than half of the gap is explained by major risk factors.

Is Fringe Baking A Component of Socially Determined Health?

2017 ◽  
Vol 32 (3) ◽  
Author(s):  
Courtney L Hundley ◽  
Richard W. Wilson ◽  
John Chenault ◽  
Jamie L. Smimble
Keyword(s):  
Socioeconomic Status ◽  
Health Status ◽  
Exploratory Study ◽  
Health It ◽  
Lower Socioeconomic Status ◽  
Health Measures ◽  
Lower Socioeconomic ◽  
Level Data ◽  
Indirect Association ◽  
Zip Code

This was an exploratory study to assess the association between density of fringe lenders (e.g.payday) and health status. For Louisville, Kentucky, ZIP code level data on hospitalizations and mortalityrates as health measures were compared to fringe bank locations. We found lower socioeconomic status(SES) positively correlated with greater frequency of fringe banks; rates of illness appear to be higher in ZIPcodes with more fringe banks, but this finding was not statistically significant. In conclusion, neighbor-hoods between higher frequencies of fringe banks appear to have poorer health; it is premature to rule in orrule out a direct or indirect association between neighborhood presence of fringe banks, but there is enoughevidence to justify additional research to put any conclusions on a firmer footing.

'Just do it': An analysis of accounts of control over health amongst lower socioeconomic status groups

2003 ◽  
Vol 13 (1) ◽  
pp. 15-31 ◽  
Author(s):  
Bruce Bolam ◽  
Darrin Hodgetts ◽  
Kerry Chamberlain ◽  
Simon Murphy ◽  
Kate Gleeson
Keyword(s):  
Socioeconomic Status ◽  
Lower Socioeconomic Status ◽  
Lower Socioeconomic

scholarly journals COMPARISON OF POST-NATAL DEPRESSION AMONG WOMEN OF UPPER, MIDDLE AND LOWER SOCIOECONOMIC STATUS

2018 ◽  
Vol 6 (2) ◽  
pp. 2643-2647
Author(s):  
Dhwani.Prakash. Sidhpura ◽  
◽  
Satish Pimpale ◽  
Ajay Kumar ◽  
◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Lower Socioeconomic Status ◽  
Lower Socioeconomic ◽  
Post Natal Depression

scholarly journals Conceptions of poverty and wealth among schoolchildren

Psihologija ◽  
2003 ◽  
Vol 36 (2) ◽  
pp. 199-215
Author(s):  
Spomenka Miskovic
Keyword(s):  
Socioeconomic Status ◽  
Age Differences ◽  
Group Affiliation ◽  
Older Children ◽  
Lower Socioeconomic Status ◽  
Total N ◽  
Level Of Education ◽  
Life Styles ◽  
Lower Socioeconomic ◽  
Parental Level

This research attempts to explore conceptions of poverty and wealth typical for Belgrade schoolchildren in two different ages: 13,5 years and 17,5 years (total N=222). We identified the content and the structure of conceptions, as well as the age differences for every conception element. The criteria for identification that younger children used were: possessing, appearance, psychical characteristic and specific social group affiliation, while older children demonstrated social schemes of larger complexity and stated: general needs, evaluation of life, different ways of becoming rich or poor, describing life-styles. Relations between various explanations of poverty and wealth revealed the existence of one homogeneous structural component (blaming the system) as well as the presence of conditional non homogeneous individualistic one. Schoolchildren with higher socioeconomic status prefered individualistic (positive) explanations of wealth in comparison with children that had lower socioeconomic status. At the same time, we found no difference in using structuralistic explanations of poverty between schoolchildren who had different socioeconomic status. Parental level of education turned out to be irrelevant for social criticism.

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