Association Of Socioeconomic Deprivation Research Articles

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study.

The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies. Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models. A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96). In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes

Overprescribing of potentially harmful medication: an observational study in England's general practice.

Overprescribing of potentially harmful medication in UK general practice has a complex association with socioeconomic deprivation. To assess trends in general practice prescribing of five high-risk medications and their relationship with deprivation. An observational study was conducted using general practice data from three English regions with varied sociodemographic factors: West Yorkshire and Harrogate (WY), Black Country and West Birmingham (BC), and Surrey and East Sussex (SE). Practice-level prescribing data were obtained from 2016-2021 for five drug classes: opioids, hypnotics, gabapentinoids, non-steroidal anti-inflammatory drugs (NSAIDs), and antibacterials. Prescribing trends were demonstrated using a linear model. Reduction in NSAID, opioid, hypnotic and antibacterial prescriptions, and the increase in gabapentinoid prescriptions, were significant at each financial year time period. Index of Multiple Deprivation (IMD) was positively associated with all drug classes except antibacterials, which showed a positive association when incorporating the interaction term between IMD and age.When adjusting for IMD and population, region was independently associated with prescribing rate. Compared with WY, IMD had a smaller association with prescribing in BC for NSAIDs (coefficient = -0.01578, P = 0.004) and antibacterials (coefficient = -0.02769, P = 0.007), whereas IMD had a greater association with prescribing in SE for NSAIDs (coefficient = 0.02443, P<0.001), opioids (coefficient = 0.08919, P<0.001), hypnotics (coefficient = 0.09038, P<0.001), gabapentinoids (coefficient = 0.1095, P<0.001), and antibacterials (coefficient = 0.01601, P = 0.19). The association of socioeconomic deprivation with overprescribing of high-risk medication in general practice varies by region and drug type. Geographical location is associated with overprescribing, independent of socioeconomic status.

Abstract B083: Association of socioeconomic deprivation with breast cancer incidence, survival and ipsilateral recurrence by molecular subtype in Scotland, United Kingdom

Abstract Cancer disparities reflect the interplay of biological, environmental, and socioeconomic determinants. In the United States, disentangling racial and ethnic disparities in breast cancer (BC) including the effects of health care access and socioeconomic deprivation is challenging, given the latter highly correlated with race and ethnicity. In Scotland, United Kingdom (UK), the population is 96% White and there is a single payer National Health Service (NHS). The Scottish Index of Multiple Deprivation (SIMD) measures the extent to which a geographic area is deprived across seven domains: income, employment, education, health, access to services, crime and housing. Scotland is renowned for high-quality electronic health records including breast tumor estrogen receptor (ER) status collected since 1997 and Progesterone Receptor and HER2 since 2009, which can be linked to hospital data and mortality. To gain a better understanding of individual patients’ SIMD status (measured in quintiles) at BC diagnosis with incidence and survival, we used data on 62,378 women diagnosed with invasive BC between 2000 and 2016. For ipsilateral breast recurrence (IBR) outcomes, we used a subset of data for BC diagnosed 2007-2008 where manual case-note review was performed for 3495 patients from 10 years post-diagnosis. Screen-detected ER+ tumor incidence increased over time, particularly in the least deprived quintile [Average Annual Percentage Change = 2.9% with 95% CI from 1.2 to 4.7]. No marked differences were observed for non-screen-detected ER+ tumors or ER- tumors by SIMD. Most versus least deprived SIMD-quintile was associated with significantly higher mortality for luminal A and HER2-enriched tumors in multivariable Cox proportional hazard models adjusted for mode of detection and confounders (aHR = 1.46 [1.13, 1.88] and 2.10 [1.23, 3.59] respectively) but weaker non-significant associations for luminal B and triple negative BC tumors (aHR &amp;lt;1.20). Among 2,819 ER+ tumors, 423 patients had IBR (15%) and 438 died: SIMD was related to death (p=0.018) with the most deprived more likely to have died in the first decade of follow-up (17.7% vs 12.9%). We found no significant differences by SIMD in prognostic tumor characteristics (grade, TNM stage, treatment, screen-detection) or risk of IBR. Among 676 patients diagnosed with ER- tumors, 185 had IBR (27%) and 105 died: 50% had mastectomy and the most deprived had an increased 5-year IBR risk compared to the least deprived (aHR 3.03 [1.41-6.53]). Our analysis shows socioeconomic deprivation is associated with differential BC incidence trends for screen-detected ER+ tumors and higher mortality and IBR for selected tumor subtypes. The lack of inequities for triple negative tumors by SIMD and survival, and IBR for ER+ tumors may be due to standardized treatment protocols and healthcare access. The association with socioeconomic deprivation and survival for HER2+ and recurrence among ER- tumors requires further study on potential other factors such as co-morbidities and adherence to treatment. Citation Format: Ines Mesa-Eguiagaray, Hayley Dunlop, Sarah Wild, Sheila M. Bird, Linda Williams, Peter S. Hall, Jonine D. Figueroa. Association of socioeconomic deprivation with breast cancer incidence, survival and ipsilateral recurrence by molecular subtype in Scotland, United Kingdom [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B083.

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes.

To investigate the association between socioeconomic deprivation and indicators of sleep health among patients with type 2 diabetes mellitus (T2DM), and additionally, to examine whether socioeconomic deprivation is associated with higher glycated haemoglobin (HbA1c) levels in these patients. We analysed data from the UK Biobank, consisting of 17 206 participants with T2DM, to explore the relationship between socioeconomic deprivation, self-reported indicators of sleep health, and HbA1c levels. Socioeconomic deprivation was assessed using the Townsend deprivation index. Participants were divided into two groups: low socioeconomic deprivation (n = 8604; reference group) and high socioeconomic deprivation (n = 8602). Logistic regression models were employed, adjusting for covariates such as body mass index (BMI), age, and biological sex. Patients with high socioeconomic deprivation had higher odds of reporting usual difficulties falling asleep or sleeping through the night (adjusted odds ratio 1.20, 95% confidence interval [CI] 1.12, 1.28), and they were more likely to use at least one hypnotic medication (adjusted odds ratio 1.41, 95% CI 1.09, 1.84). They also had higher odds of reporting snoring and difficulties staying awake during the daytime (adjusted odds ratio 1.09, 95% CI 1.01, 1.18), as well as experiencing short sleep duration (defined as <6 hours of sleep per day; adjusted odds ratio 1.69, 95% CI 1.50, 1.91). Moreover, patients with high socioeconomic deprivation had increased odds of experiencing comorbid sleep problems (P ≤ 0.001). Finally, high socioeconomic deprivation was associated with a 0.1% higher HbA1c level (P < 0.001). Controlling for indicators of poor sleep health did not alter the strength of this association. Socioeconomic deprivation may represent a risk factor for poor sleep health in patients with T2DM.

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study

BackgroundCOVID-19 has been characterised by its global and rapid spread, with high infection, hospitalisation, and mortality rates worldwide. However, the course of the pandemic showed differences in chronology and intensity in different geographical areas and countries, probably due to a multitude of factors. Among these, socio-economic deprivation has been supposed to play a substantial role, although available evidence is not fully in agreement. Our study aimed to assess incidence and fatality rates of COVID-19 across the levels of socio-economic deprivation during the first epidemic wave (March–May 2020) in the Italian Province of Foggia, Apulia Region.MethodsBased on the data of the regional active surveillance platform, we performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia, Italy, from March 1st to May 5th, 2020. Geocoded addresses were linked to the individual Census Tract (CT) of residence. Effects of socio-economic condition were calculated by means of the Socio-Economic and Health-related Deprivation Index (SEHDI) on COVID-19 incidence and fatality.ResultsOf the 1054 confirmed COVID-19 cases, 537 (50.9%) were men, 682 (64.7%) were 0–64 years old, and 338 (32.1%) had pre-existing comorbidities. COVID-19 incidence was higher in the less deprived areas (p < 0.05), independently on age. The level of socio-economic deprivation did not show a significant impact on the vital status, while a higher fatality was observed in male cases (p < 0.001), cases > 65 years (p < 0.001), cases having a connection with a nursing home (p < 0.05) or having at least 1 comorbidity (p < 0.001). On the other hand, a significant protection for healthcare workers was apparent (p < 0.001).ConclusionsOur findings show that deprivation alone does not affect COVID-19 incidence and fatality burden, suggesting that the burden of disease is driven by a complexity of factors not yet fully understood. Better knowledge is needed to identify subgroups at higher risk and implement effective preventive strategies.

Socioeconomic Deprivation, Genetic Risk, and Incident Dementia

Socioeconomic factors and genetic predisposition are established risk factors for dementia. It remains unclear whether associations of socioeconomic deprivation with dementia incidence are modified by genetic risk. Participants in the UK Biobank aged ≥60 years and of European ancestry without dementia at baseline (2006-2010) were eligible for the analysis, with the main exposures area-level deprivation based on the Townsend Deprivation Index and individual-level socioeconomic deprivation based on car and home ownership, housing type and income, and polygenic risk of dementia. Dementia was ascertained in hospital and death records. Analysis was conducted in 2021. In this cohort study, 196,368 participants (mean [SD] age=64.1 [2.9] years, 52.7% female) were followed up for 1,545,316 person-years (median [IQR] follow-up=8.0 [7.4-8.6] years). In high genetic risk and high area-level deprivation, 1.71% (95% CI=1.44, 2.01) developed dementia compared with 0.56% (95% CI=0.48, 0.65) in low genetic risk and low-to-moderate area-level deprivation (hazard ratio=2.31; 95% CI=1.84, 2.91). In high genetic risk and high individual-level deprivation, 1.78% (95% CI=1.50, 2.09) developed dementia compared with 0.31% (95% CI=0.20, 0.45) in low genetic risk and low individual-level deprivation (hazard ratio=4.06; 95% CI=2.63, 6.26). There was no significant interaction between genetic risk and area-level (p=0.77) or individual-level (p=0.07) deprivation. An imaging substudy including 11,083 participants found a greater burden of white matter hyperintensities associated with higher socioeconomic deprivation. Individual-level and area-level socioeconomic deprivation were associated with increased dementia risk. Dementia prevention interventions may be particularly effective if targeted to households and areas with fewer socioeconomic resources, regardless of genetic vulnerability.

Socioeconomic Deprivation, Genetics and Risk of Dementia

AbstractBackgroundThe risk of Alzheimer’s disease and other subtypes of dementia is determined by multiple pathways including genetic, environmental and lifestyle factors. With higher risk in socioeconomically deprived individuals, it remains unclear whether associations of genetic risk with dementia incidence may be modified by individual‐ or area‐level socioeconomic deprivation.MethodParticipants of the UK Biobank study attended baseline assessments at 22 assessment centers between 2006 and 2010 and were followed‐up until 2016 or 2017. Cox proportional‐hazards regressions with area‐level socioeconomic deprivation based on the Townsend Deprivation Index and individual‐level socioeconomic deprivation based on car and home ownership, housing type, and income were run. A comprehensive polygenic risk score was employed and potential mediation through lifestyle and depressive symptoms was assessed. In an imaging substudy, associations of socioeconomic deprivation with six imaging‐derived phenotypes including white matter hyperintensities were examined.Result196,368 participants (mean [standard deviation] age, 64.1 [2.9] years, 52.7% female) aged 60 years and older, of European ancestry, without dementia diagnosis or cognitive impairment at baseline were followed‐up for 1,545,316 person‐years (median [interquartile range] follow‐up, 8.0 [7.4‐8.6] years). In high genetic risk and high area‐level deprivation 1.71% (95% confidence interval, 1.44% to 2.01%) developed dementia compared to 0.56% (95% confidence interval, 0.48% to 0.65%) in low genetic risk and low‐to‐moderate area‐level deprivation (hazard ratio, 2.31; 95% confidence interval, 1.84 to 2.91). In high genetic risk and high individual‐level deprivation 1.78% (95% confidence interval, 1.50% to 2.09%) developed dementia compared to 0.31% (95% confidence interval, 0.20% to 0.45%) in low genetic risk and low individual‐level deprivation (hazard ratio, 4.06; 95% confidence interval, 2.63 to 6.26). There was no significant interaction between genetic risk and area‐level (P =.77) or individual‐level (P =.07) deprivation. An imaging substudy including 11,083 participants found greater burden of white matter hyperintensities associated with higher socioeconomic deprivation.ConclusionIn older adults without dementia area‐level and individual‐level socioeconomic deprivation and genetic risk were significantly and independently associated with a higher risk of dementia. Dementia prevention interventions may be particularly effective if targeted to people living in deprived households and areas, regardless of genetic vulnerability.

Association of socioeconomic deprivation with life expectancy and all-cause mortality in Spain, 2011–2013

Life tables summarise a population’s mortality experience during a time period. Sex- and age-specific life tables are needed to compute various cancer survival measures. However, mortality rates vary according to socioeconomic status. We present sex- and age-specific life tables based on socioeconomic status at the census tract level in Spain during 2011–2013 that will allow estimating cancer relative survival estimates and life expectancy measures by socioeconomic status. Population and mortality data were obtained from the Spanish Statistical Office. Socioeconomic level was measured using the Spanish Deprivation Index by census tract. We produced sex- and age-specific life expectancies at birth by quintiles of deprivation, and life tables by census tract and province. Life expectancy at birth was higher among women than among men. Women and men in the most deprived census tracts in Spain lived 3.2 and 3.8 years less than their counterparts in the least deprived areas. A higher life expectancy in the northern regions of Spain was discovered. Life expectancy was higher in provincial capitals than in rural areas. We found a significant life expectancy gap and geographical variation by sex and socioeconomic status in Spain. The gap was more pronounced among men than among women. Understanding the association between life expectancy and socioeconomic status could help in developing appropriate public health programs. Furthermore, the life tables we produced are needed to estimate cancer specific survival measures by socioeconomic status. Therefore, they are important for cancer control in Spain.

Contextualising the association of socioeconomic deprivation with hospitalisation rates of myocardial infarction in a rural area in eastern Germany.

Evidence on the association of socioeconomic deprivation with occurrence of acute myocardial infarction (AMI) is available from international studies and urban settings in western Germany. This study aimed to assess this association based on small geographical areas in a rural setting in eastern Germany. This study used routine data of all patients with AMI who were treated in the Hospital Brandenburg in the city of Brandenburg, Germany, between May 2019 and May 2020. Hospitalisation rates of AMI were calculated for postal code regions that were located within the catchment area of the Hospital Brandenburg. Poisson regression was used to compare hospitalisation rates in areas with medium socioeconomic deprivation to areas with high deprivation, controlling for age group, sex and period (before or during COVID-19 pandemic). Publicly available social, infrastructure and healthcare-related features were mapped to characterise the study region. In total, 265 cases of AMI were registered in the study area, which comprised 116,126 inhabitants. The city of Brandenburg was characterised by the highest level of socioeconomic deprivation, while neighbouring areas showed a rural settlement structure and medium levels of deprivation. The number of general practitioners per 10 000 inhabitants did not differ between both areas. The adjusted rate ratio comparing hospitalisations due to AMI in areas with medium socioeconomic deprivation to areas with high socioeconomic deprivation was 0.71 (95%CI 0.56-0.91, p=0.01). This study adds evidence about the association of socioeconomic deprivation and AMI occurrence from a rural area in eastern Germany. Further research about the relationship of socioeconomic deprivation and cardiovascular health is needed from heterogeneous contexts.

Is there an association of socioeconomic deprivation with acute primary angle closure?

BackgroundSocioeconomic deprivation is known to increase the risk of late presentation of many diseases. This is the largest study in United Kingdom investigating the relationship between socioeconomic deprivation and acute primary angle closure (APAC).MethodsA retrospective review of case notes was conducted of 718 consecutive patients who underwent laser peripheral iridotomy (LPI) in Edinburgh (Princess Alexandra Eye Pavilion) and Fife (Queen Margaret Hospital) between 2015 and 2019. Baseline demographics including sex, age, ethnicity, pre-existing diabetes, use of anti-depressants, and family history of glaucoma were collected. Deprivation was scored using the Scottish Index of Multiple Deprivation (SIMD) Index 2020v2. A lower rank and decile indicate higher degrees of deprivation. We investigated differences in characteristics between patients who were referred routinely versus patients who referred as APAC.ResultsThe SIMD rank and deciles were consistently lower in patients who were referred urgently with APAC in both centres (P = <0.05) when compared to those referred routinely for LPI. On univariate and multivariate logistic regression, the presentation of APAC is negatively associated with SIMD Decile (OR = −0.101, 95% CI −0.178 to −0.026, P = 0.008) and family history of glaucoma (OR = −1.010, 95% CI −1.670 to −0.426, P = 0.001), and positively associated with age (OR = 0.029, 95% CI 0.009–0.049, P = 0.004).ConclusionsSocioeconomic deprivation is an important risk factors for patients presenting with APAC. Socioeconomic deprivation should be incorporated into the design of glaucoma services and considered when triaging patients for prophylactic and therapeutic LPI and cataract surgery.

Association of socioeconomic deprivation with opioid prescribing in primary care in England: a spatial analysis

BackgroundThe increasing trends in opioid prescribing and opioid-related deaths in England are concerning. A greater understanding of the association of deprivation with opioid prescribing is needed to guide policy responses...

The association of socioeconomic deprivation and paediatric open tibia fractures.

The primary aim of this study is to test the association of open tibial fractures (OTF), in a paediatric age group, with socioeconomic deprivation. The secondary objectives are to more clearly define the epidemiological characteristics of these high-energy injuries. A consecutive series of patients with OTF presenting to a major trauma centre at a children's hospital in Liverpool had age, gender, fracture pattern, mechanism, timing of the injury and their postcode of residence recorded. Those cases outside Liverpool, Sefton and Knowsley local authorities were excluded from incidence calculations. Postcodes were used to generate deprivation scores (Index of Multiple Deprivation, 2010) based on census data (2011). Cases were ranked and allocated to deprivation quintiles. A comparison to the normal population within Merseyside was undertaken using regression analysis. There were 71 cases over a 9-year period. Fifty cases resided within the geographical limits of Merseyside and were included in the incidence calculations. The annual incidence of paediatric OTF is 3.09 per 100 000 children (0-16 years). The median age at injury was 11 years (range 2-16) and this occurred most usually during term-time between 3 and 5 p.m. from road traffic collisions. Paediatric OTFs are strongly associated with socioeconomic deprivation. The association with deprivation reflects an exposure to unsafe roads in busy urban areas with limited access to safe playing spaces. Socioeconomically deprived men are most at risk from this injury. The links between deprivation and outcomes of treatment or long-term prospects are unclear.

Associations of Socioeconomic Deprivation and Preterm Birth With Speech, Language, and Communication Concerns Among Children Aged 27 to 30 Months

Successful acquisition of language is foundational for health and well-being across the life course and is patterned by medical and social determinants that operate in early life. To investigate the associations of neighborhood disadvantage, gestational age, and English as first language with speech, language, and communication concerns among children aged 27 to 30 months. This cohort study used birth data from the National Health Service maternity electronic medical record linked to the Child Health Surveillance Programme for preschool children. The cohort included 28 634 children in the United Kingdom (NHS Lothian, Scotland) born between January 2011 and December 2014 who were eligible for a health review at age 27 to 30 months between April 2013 and April 2016. Data analysis was conducted between January 2018 and February 2019. The associations of neighborhood deprivation (using the Scottish Index of Multiple Deprivation 2016 quintiles), gestational age, and whether English was the first language spoken in the home with preschool language function were investigated using mutually adjusted logistic regression models. Speech, language, and communication (SLC) concern ascertained at age 27 to 30 months. Records of 28 634 children (14 695 [51.3%] boys) with a mean (SD) age of 27.7 (2.2) months were matched. After excluding records with missing data, there were 26 341 records. The prevalence of SLC concern was 13.0% (3501 of 26 963 children with SLC data). In fully adjusted analyses, each 1-week increase in gestational age from 23 to 36 weeks was associated with an 8.8% decrease in the odds of a child having an SLC concern reported at 27 months (odds ratio, 0.92; 95% CI, 0.90-0.93). The odds of a child for whom English is not the first language of having SLC concern at age 27 to 30 months were 2.1-fold higher than those for a child whose first language is English (OR, 2.09; 95% CI, 1.66-2.64). The odds ratio for having an SLC concern among children living in the most deprived neighborhoods, compared with the least deprived neighborhoods, was 3.15 (95% CI, 2.79-3.56). The estimated probabilities for preterm children having an SLC concern were highest for those living in the most deprived areas. This study found that SLC concerns at age 27 to 30 months are common and independently associated with increasing levels of neighborhood deprivation and lower gestational age. Policies that reduce childhood deprivation could be associated with improved preschool language ability and potentially avoid propagation of disadvantage across the life course, including for children born preterm.