scholarly journals Role of socio-economic status in the relationship between air pollution and health

2019 ◽  
Vol 3 ◽  
pp. 324-325
Author(s):  
Ranzi A ◽  
Ottone M ◽  
Broccoli S ◽  
Parmagnani F ◽  
Bonvicini L ◽  
...  
2021 ◽  
Author(s):  
Lou Safra ◽  
Coralie Chevallier ◽  
Amine Sijilmassi

A correlational study to test the relationship between socio-economic status and reactivity to threats.


2019 ◽  
Vol 147 ◽  
Author(s):  
N. L. Adams ◽  
L. Byrne ◽  
T. C. Rose ◽  
G. K. Adak ◽  
C. Jenkins ◽  
...  

Abstract Shiga toxin-producing Escherichia coli (STEC) infection can cause serious illness including haemolytic uraemic syndrome. The role of socio-economic status (SES) in differential clinical presentation and exposure to potential risk factors amongst STEC cases has not previously been reported in England. We conducted an observational study using a dataset of all STEC cases identified in England, 2010–2015. Odds ratios for clinical characteristics of cases and foodborne, waterborne and environmental risk factors were estimated using logistic regression, stratified by SES, adjusting for baseline demographic factors. Incidence was higher in the highest SES group compared to the lowest (RR 1.54, 95% CI 1.19–2.00). Odds of Accident and Emergency attendance (OR 1.35, 95% CI 1.10–1.75) and hospitalisation (OR 1.71, 95% CI 1.36–2.15) because of illness were higher in the most disadvantaged compared to the least, suggesting potential lower ascertainment of milder cases or delayed care-seeking behaviour in disadvantaged groups. Advantaged individuals were significantly more likely to report salad/fruit/vegetable/herb consumption (OR 1.59, 95% CI 1.16–2.17), non-UK or UK travel (OR 1.76, 95% CI 1.40–2.27; OR 1.85, 95% CI 1.35–2.56) and environmental exposures (walking in a paddock, OR 1.82, 95% CI 1.22–2.70; soil contact, OR 1.52, 95% CI 2.13–1.09) suggesting other unmeasured risks, such as person-to-person transmission, could be more important in the most disadvantaged group.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1795-1795
Author(s):  
D. Bhugra

IntroductionWith the process of globalisation in full flow, the movement of people and products across the globe has brought a series of difficulties. With migration the socio-economic status of the individuals may change with the likelihood that this status will be lower rather than higher, although depending upon the reasons for migration this may change too.ObjectivesLiterature shows that low socio-economic status is associated with a higher level of psychiatric morbidity.AimsWhether migration acts as a mediator needs to be investigated further.MethodsVarious studies have shown that rates of psychosis are elevated in migrants though these rates are differentially increased in different groups indicating that factors other than migration may be at play.ResultsIn this presentation the literature and link the acculturation and cultural identity with post-migration experiences will be reviewed.ConclusionA link exists between the perceptions within cultures and level of economic development of what constitutes mental health. The state of advancement of mental health services of a country will certainly have a large impact on prevalence rates. Further investigation should be carried out to examine in greater depth the relationship between social inequality and disorder prevalence, as distinct from income inequality.


2021 ◽  
Vol 10 ◽  
pp. 124-129
Author(s):  
Björn Quanjer ◽  
Kristina Thompson

While in modern, high-income populations, obesity is associated with being from a low socio-economic background, this may not have always been the case. We test the relationship between obesity and educational level (as a proxy for socio-economic status) in a historical cohort of Dutch military conscripts, from the conscription years 1950–1979. We find that in the 1950s cohort, being in tertiary education was significantly associated with an increased likelihood of being overweight. In contrast, in the 1970s cohort, being in tertiary education was significantly associated with a decreased likelihood of being overweight. We find evidence that the prevalence of obesity remained broadly similar among more highly educated men, while it increased among men of a lower educational level. This likely contributed to the overall rise in the obesity rate. Our findings echo other studies that find a crossover in education’s relationship to BMI as populations become wealthier and obesity rates rise.


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