Individual Socioeconomic Position Research Articles

Social inequalities in pregnancy metabolic profile: findings from the multi-ethnic Born in Bradford cohort study.

Lower socioeconomic position (SEP) associates with adverse pregnancy and perinatal outcomes and with less favourable metabolic profile in nonpregnant adults. Socioeconomic differences in pregnancy metabolic profile are unknown. We investigated association between a composite measure of SEP and pregnancy metabolic profile in White European (WE) and South Asian (SA) women. We included 3,905 WE and 4,404 SA pregnant women from a population-based UK cohort. Latent class analysis was applied to nineteen individual, household, and area-based SEP indicators (collected by questionnaires or linkage to residential address) to derive a composite SEP latent variable. Targeted nuclear magnetic resonance spectroscopy was used to determine 148 metabolic traits from mid-pregnancy serum samples. Associations between SEP and metabolic traits were examined using linear regressions adjusted for gestational age and weighted by latent class probabilities. Five SEP sub-groups were identified and labelled 'Highest SEP' (48% WE and 52% SA), 'High-Medium SEP' (77% and 23%), 'Medium SEP' (56% and 44%) 'Low-Medium SEP' (21% and 79%), and 'Lowest SEP' (52% and 48%). Lower SEP was associated with more adverse levels of 113 metabolic traits, including lower high-density lipoprotein (HDL) and higher triglycerides and very low-density lipoprotein (VLDL) traits. For example, mean standardized difference (95%CI) in concentration of small VLDL particles (vs. Highest SEP) was 0.12 standard deviation (SD) units (0.05 to 0.20) for 'Medium SEP' and 0.25SD (0.18 to 0.32) for 'Lowest SEP'. There was statistical evidence of ethnic differences in associations of SEP with 31 traits, primarily characterised by stronger associations in WE women e.g., mean difference in HDL cholesterol in WE and SA women respectively (vs. Highest-SEP) was -0.30SD (-0.41 to -0.20) and -0.16SD (-0.27 to -0.05) for 'Medium SEP', and -0.62SD (-0.72 to -0.52) and -0.29SD (-0.40 to -0.20) for 'Lowest SEP'. We found widespread socioeconomic differences in metabolic traits in pregnant WE and SA women residing in the UK. Further research is needed to understand whether the socioeconomic differences we observe here reflect pre-conception differences or differences in the metabolic pregnancy response. If replicated, it would be important to explore if these differences contribute to socioeconomic differences in pregnancy outcomes.

Neighborhood Deprivation and Changes in Oral Health in Older Age: A Longitudinal Population-Based Study

The aim of this study was to examine the extent to which neighborhood-level socioeconomic factors (objective and perceived) are associated with poor oral health in older adults over time, independent of individual socioeconomic position. Data for this cross-sectional and longitudinal observation study came from a socially and geographically representative cohort of men aged 71 to 92 y in 2010–12 (n = 1,622), drawn from British general practices, which was followed up in 2018–19 (aged 78–98 y; N = 667). Dental measures at both times included number of teeth, periodontal pocket depth, self-rated oral health, and dry mouth. Neighborhood deprivation was based on Index of Multiple Deprivation (IMD) and a cumulative index measuring perceptions about local environment. Individual-level socioeconomic position was based on longest-held occupation. Multilevel and multivariate logistic regressions, adjusted for relevant sociodemographic, behavioral, and health-related factors, were performed to examine the relationships of dental measures with IMD and perceived neighborhood quality index, respectively. Cross-sectionally, risks of tooth loss, periodontal pockets, and dry mouth increased from IMD quintiles 1 to 5 (least to most deprived); odds ratios (ORs) for quintile 5 were 2.22 (95% confidence interval [CI], 1.41–3.51), 2.82 (95% CI, 1.72–4.64), and 1.51 (95% CI, 1.08–2.09), respectively, after adjusting for sociodemographic, behavioral, and health-related factors. Risks of increased pocket depth and dry mouth were significantly greater in quintile 5 (highest problems) of perceived neighborhood quality index compared to quintile 1. Over the 8-y follow-up, deterioration of dentition (tooth loss) was significantly higher in the most deprived IMD quintiles after full adjustment (OR for quintile 5 = 2.32; 95% CI, 1.09–4.89). Deterioration of dentition and dry mouth were significantly greater in quintile 5 of perceived neighborhood quality index. Neighborhood-level factors were associated with poor oral health in older age, both cross-sectionally and longitudinally, particularly with tooth loss, and dry mouth, independent of individual-level socioeconomic position.

Trends in prevalence of obesity and its association with hypertension across socioeconomic gradients in rural Yunnan Province, China

BackgroundThis study aimed to uncover the changing prevalence of obesity and its association with hypertension across socioeconomic gradients in rural southwest China.MethodsData were collected from two cross-sectional health interviews and surveys from 2011 to 2021 among individuals aged ≥ 35 years in rural China. Each participant’s height, weight, waist circumference, and blood pressure were measured. The overall prevalence of obesity, central obesity, and hypertension was directly standardized by age based on the total population of the two surveys. Multivariate logistic regression was used to analyze the association between obesity and prevalence of hypertension and an individual socioeconomic position (SEP) index was constructed using principal component analysis.ResultsFrom 2011 to 2021, the prevalence of obesity, central obesity, and hypertension increased substantially, from 5.9%, 50.2%, and 26.1–12.1%, 58.0%, and 40.4% (P < 0.01), respectively. These increasing rates existed in all subcategories, including sex, age, ethnicity, education, annual household income, access to medical services, and SEP (P < 0.05). In both 2011 and 2021, lower education level and poor access to medical services correlated with higher prevalence of central obesity, while higher SEP correlated with higher prevalence of obesity and central obesity (P < 0.01). Prevalence of obesity was higher in the Han ethnicity participants and individuals with poor access to medical services than in their counterparts (P < 0.01). Whereas the prevalence of central obesity was lower in Han participants than in ethnic minority participants in 2011 (P < 0.01), this trend reversed in 2021 (P < 0.01). A positive relationship between annual household income and prevalence of obesity and central obesity was only found in 2021 (P < 0.01). Obese and centrally obese participants were more likely to be hypertensive in both survey years (P < 0.01).ConclusionsFuture interventions to prevent and manage obesity in rural China should give increased attention to high income, less educated, poor access to medical services, and high SEP individuals. The implementation of these obesity interventions would also help reduce the prevalence of hypertension.

Does use of GP and specialist services vary across areas and according to individual socioeconomic position? A multilevel analysis using linked data in Australia

ObjectiveTimely access to primary care and supporting specialist care relative to need is essential for health equity. However, use of services can vary according to an individual’s socioeconomic circumstances or...

Surgeon Understanding and Perceptions of Social Determinants of Health

IntroductionSocial determinants of health impact surgical outcomes. Characterization of surgeon understanding of social determinants of health is necessary prior to implementation of interventions to address patient needs. The study objective was to explore understanding, perceived importance, and practices regarding social determinants of health among surgeons. MethodsSurgical residents and attending surgeons at a single academic medical center completed surveys regarding social determinants of health. We conducted semi-structured interviews to further explore understanding and perceived importance. A conceptual framework from the World Health Organization (WHO) Commission on Social Determinants of Health informed the thematic analysis. ResultsSurvey response rate was 47.9% (n = 69, 44 residents [63.8%], 25 attendings [36.2%]). Respondents primarily reported good (n = 29, 42.0%) understanding of social determinants of health and perceived this understanding to be very important (n = 42, 60.9%). Documentation occurred seldom (n = 35, 50.7%), and referrals occurred seldom (n = 26, 37.7%) or never (n = 20, 29.0%). Residents reported a higher rate of prior training than attendings (95.5% versus 56.0%, P < 0.001). Ten interviews were conducted (six residents, four attendings). Residents demonstrated greater understanding of socioeconomic positions and hierarchies shaped by structural mechanisms than attendings. Both residents and attendings demonstrated understanding of intermediary determinants of health status and linked social determinants to impacting patients' health and well-being. Specific knowledge gaps were identified regarding underlying structural mechanisms including the social, economic, and political context that influence an individual's socioeconomic position. ConclusionsSelf-reported understanding and importance of social determinants of health among surgeons were high. Interviews revealed gaps in understanding that may contribute to limited practices.

Influence of neighborhood-level socioeconomic deprivation and individual socioeconomic position on risk of developing type 2 diabetes in older men: a longitudinal analysis in the British Regional Heart Study cohort

IntroductionEvidence from longitudinal studies on the influence of neighborhood socioeconomic deprivation in older age on the development of type 2 diabetes mellitus (T2DM) is limited. This study investigates the prospective...

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001–20

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position—education, occupation, and household wealth—and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001–20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Geographical variation in cardiovascular disease mortality in Norway: The role of life course socioeconomic position and parental health.

Despite substantial geographical variation in cardiovascular (CVD) mortality within countries, little is known about whether this variation can be explained by individuals' life course socioeconomic position (SEP) or differences in family history of premature CVD deaths. Cox proportional hazards models were used to investigate the association between the county of residence at ages 50-59 and CVD death in Norwegians born between 1940 and 1959 and survived to at least age 60, using national data. Individual life course SEP and family history of premature CVD death reduced the geographical variation in CVD mortality across Norwegian counties, but some significant differences remained. Furthermore, CVD risk varied by residents' migration histories between two counties with distinct CVD and socioeconomic profiles.

Health inequalities in the geographic distribution of dental practitioners in Costa Rica: An ecological study.

The uneven distribution of dental health services in a territory can cause an imbalance in accessibility, increasing health inequalities. This study aimed to describe the geographical distribution of dental health practitioners according to urbanicity and area-level socio-economic status in Costa Rica. A National Dentist Survey was developed to identify employment status, number of working hours, address and list of the working clinics. Data was completed using information from the national College of Surgeons, including all Costa Rican dentists. The Minimal Geographic Units (MGU) allowed for aggregating the population's individual level socio-economic position. Local Potential Accessibility (LPA) calculated the density of full-time hour's equivalents around each MGU using floating sectors. Clinics were geocoded using Geographic Information Systems, creating 2853 clinical points. Distance between each MGU and the nearest accessible clinics considering full-time working hours equivalents was estimated. MGU were divided into six categories: 'No accessibility', 'Very low accessibility', 'Low accessibility', 'Good accessibility' 'High accessibility' and 'Very high accessibility'. Mean national LPA was 6.5 full-time equivalents per 10 000 inhabitants, 3.4% of the Costa Rican population had no access to dentist; 12.9% had very low accessibility, 22.7% had low accessibility, 35.0% had good accessibility, 16.2% had high accessibility, and 9.8% had very high accessibility. Overall, 39% of the population has a rather low accessibility. LPA was higher in urban districts compared to rural districts and in wealthiest districts compared to most disadvantaged districts. Within districts, after adjustment for district's characteristics, LPA was higher in urban MGU compared to rural MGU and in wealthiest MGU compared to most disadvantaged MGU. This study found that despite having a high number of dentists, their numbers are small in many areas, increasing inequalities in access to health care. The dentist's free establishment, where they can decide to provide private services within a community, creates zones with very high densities, in particular in the wealthiest urban areas, and others with very low densities, in particular the poorest rural areas. The lack of territorial planning has been one of the reasons that has encouraged an imbalance in the availability of dental human resources. To achieve effective universal health coverage, public institutions should focus their efforts on improving access to dental services in underserved areas.

Trends in the Prevalence of Chronic Non-Communicable Diseases and Multimorbidity across Socioeconomic Gradients in Rural Southwest China.

This study aimed to determine the changing prevalence of five chronic non-communicable diseases (NCDs)- hypertension, coronary heart disease (CHD), stroke, chronic obstructive pulmonary disease (COPD), and asthma-- and its multimorbidity (refers to the co-existence of two or more chronic diseases in an individual) across socioeconomic spectra in rural southwest China. Two cross-sectional health interviews and examination surveys were conducted among individuals aged ≥35 years in rural China. An individual socioeconomic position (SEP) index was constructed using principal component analysis. Anthropometric measurements, blood pressure, and post-bronchodilator spirometry tests were recorded for each participant. The mean age and proportion of men was 56.1 years and 48.4% in 2011, while was 56.6 years and 49.4% in 2021. From 2011 to 2021, the overall prevalence of hypertension, stroke and COPD increased from 26.1%, 1.1%, and 8.7% to 40.4%, 2.4%, and 12.8%, respectively (P < 0.01), while prevalence of CHD (2.1% vs. 2.2%) and asthma (1.4% vs. 1.5%) did not differ between the two study years (P > 0.05). The prevalence of NCDs multimorbidity increased from 2.3% to 9.7%, and was also observed among subgroups categorized by sex, age, ethnicity, level of education, income, and SEP (P < 0.01). In addition, the relative increases in the prevalence of multimorbidity were greater among men, old individuals, ethnic minorities, and those with low level of education and low SEP. Both in 2011 and 2021, ethnic minorities and individuals with lower level of education and low SEP had a higher prevalence of multimorbidity of the five studied chronic NCDs than their counterparts (P <0.01). The prevalence of NCDs multimorbidity increased substantially across all socioeconomic gradients in rural southwest China. Future interventions to further manage NCDs and their multimorbidity must be tailored to address socioeconomic factors.

Evaluation of Socioeconomic Position and Survival After Out-of-Hospital Cardiac Arrest in Korea Using Structural Equation Modeling

The association between low socioeconomic position (SEP) and poor survival after out-of-hospital cardiac arrest (OHCA) has not been thoroughly investigated. To evaluate the association between individual SEP and survival after OHCA and to identify any mediating pathways using structural equation modeling (SEM). This is a retrospective cohort study that used data collected from January 2013 to December 2019. Participants were adults with OHCA with a presumed cardiac etiology. The study was conducted in Korea, which has a universal health insurance system. Data were analyzed from January 2022 to February 2023. Individual SEP was measured by insurance type (National Health Insurance [NHI] and medical aid [MA]) and premiums. SEP was categorized into 5 groups, in which NHI beneficiaries were divided into quartiles (Q1, highest quartile; Q4, lowest quartile), and MA was the lowest SEP group. The primary outcome was survival to discharge. The association between SEP and OHCA survival was examined using multivariable logistic regression, and mediating factors were identified using SEM. A total of 121 516 patients (median [IQR] age, 73 [60-81] years; 43 912 [36.1%] female patients) were included. Compared with the NHI Q1 group, individuals with lower SEP had lower odds of survival to discharge. The adjusted odds ratios of survival to discharge were 0.97 (95% CI, 0.94-1.00), 0.88 (95% CI, 0.85-0.91), 0.91 (95% CI, 0.88-0.94), and 0.53 (95% CI, 0.50-0.56) for the NHI Q2, NHI Q3, NHI Q4, and MA groups, respectively. Several factors were found to mediate the association of SEP and survival in the total study population, with mediating proportions of 15.1% (95% CI, 11.8%-18.4%) for witnessed status, 4.8% (95% CI, 3.5%-6.0%) for bystander cardiopulmonary resuscitation provision, 41.8% (95% CI, 35.4%-48.1%) for initial rhythm, and 9.4% (95% CI, 7.4%-11.4%) for emergency department level. Among patients who survived to hospital admission, the mediation proportions were 11.8% (95% CI, 6.7%-16.9%) for witnessed status, 3.7% (95% CI, 1.3%-6.1%) for bystander cardiopulmonary resuscitation provision, 56.2% (95% CI, 41.0%-71.4%) for initial rhythm, 10.7% (95% CI, 6.1%-15.3%) for emergency department level, 20.2% (95% CI, 14.0%-26.5%) for coronary angiography, and 4.2% (95% CI, 2.2%-6.1%) for targeted temperature management. In this cohort study of patients with OHCA, lower individual SEP was significantly associated with lower survival to discharge. Potentially modifiable mediators can be targeted for public health interventions to reduce disparities in survival among patients with OHCA of different SEP.

Socioeconomic differentials of trends in the prevalence and economic burden of chronic obstructive pulmonary disease in rural southwest China

BackgroundChronic obstructive pulmonary disease (COPD) is a leading cause of mortality and morbidity, and imposes a substantial financial burden on society. However, few studies have examined the role of individual socioeconomic status (SES) in temporal trends of COPD prevalence and economic cost. This study aimed to uncover the changing prevalence and economic burden of COPD across socioeconomic gradients in rural southwest China.MethodsData were collected from two cross-sectional health interviews and examination surveys administered 10 years apart among individuals aged ≥ 35 years in rural China. A prevalence-based cost-of-illness method was used to estimate the cost of COPD. The individual socioeconomic position (SEP) index was constructed using principal component analysis. Post-bronchodilator spirometry tests were performed for each participant.ResultsFrom 2011 to 2021, the prevalence of COPD increased from 8.7% to 12.8% (P < 0.01), while the economic cost of COPD increased 1.9-fold. Unit hospital costs and outpatient costs increased 1.57–fold and 1.47–fold, while unit medication costs fell by 10.6%. Increasing prevalence was also observed when the data were stratified by sex, age, ethnicity, level of education, level of income, and SEP (P < 0.05). Men, ethnic minorities, and those with a lower educational level, lower income, or lower SEP had a higher prevalence of COPD than their counterparts both in 2011 and 2021 (P < 0.05). Unit outpatient costs and medication costs increased with patients’ SEP in both survey years (P < 0.05).ConclusionsThe prevalence and economic costs of COPD increased substantially across all socioeconomic gradients in rural southwest China in the decade from 2011 and 2021. Future COPD prevention and management interventions as well as efforts to improve access to affordable COPD medication and treatment should focus in particular on ethnic minority and low SEP populations.

The effect of the Flemish breast cancer screening program on breast cancer-specific mortality: A case-referent study

BackgroundBreast cancer screening programs were introduced in many countries worldwide following randomized controlled trials in the 1980s showing a reduction in breast cancer-specific mortality. However, their effectiveness remains debated and estimates vary. A breast cancer screening program was introduced in 2001 in Flanders, Belgium where high levels of opportunistic screening practices are observed. The effectiveness of this program was estimated by measuring its effect on breast cancer-specific mortality. MethodsWe performed a case-referent study to investigate the effect of participation in the Flemish population-based mammography screening program (PMSP) on breast cancer-specific mortality from 2005 to 2017. A multiple logistic regression model assessed the association between breast cancer-specific death and screening program participation status in the four years prior to (pseudo)diagnosis (yes/no), with adjustment for potential confounders (individual socio-economic position and calendar year of diagnosis) and stratified for age. In addition, we performed different sensitivity analyses. ResultsWe identified 1571 cases and randomly selected 6284 referents. After adjustment, women who participated in PMSP had a 51 % lower risk of breast cancer-specific mortality compared to those who did not (adjusted odds ratio [aOR] =0.49, 95 % CI: 0.44–0.55). Sensitivity analyses did not markedly change the estimated associations. Correction for self-selection bias reduced the effect size, but the estimate remained significant. ConclusionOur results indicate that in a context of high opportunistic screening rates, participation in breast cancer screening program substantially reduces breast cancer-specific mortality. For policy, these results should be balanced against the potential harms of screening, including overdiagnosis and overtreatment.

Effects of Demographic and Socio-Economic Factors on Investigation Time of Lung Cancer Patients in Denmark: A Retrospective Cohort Study.

Lung cancer is one of the most common cancer types worldwide. The significance of the individual socio-economic position on the delay in lung cancer diagnosis has not been properly investigated. The purpose of this nationwide population-based study is to examine the association between position and the length of the primary investigation for lung cancer. This register study was based on all lung cancer patients in Denmark who were diagnosed in 2012 to 2017, in total 28,431 patients. We used a multivariate logistic regression model and multivariate zero-inflated negative binomial model to estimate the effect of education level, family income, difficulty of transport, and cohabitation status on the length of the primary investigation. We found that the patients' income, difficulty of transport, and cohabitation status were associated with the length of the primary investigation. The chance of carrying out the investigation process within 24 days is higher for patients with a high income (adjusted OR = 0.86 with 95% CI (0.81; 0.91)), lower for patients with troublesome transport (adjusted OR = 0.67 with 95% CI (0.61; 0.72)), and lower for patients living alone (adjusted OR = 0.93 with 95% CI (0.88; 0.99)). Several socio-economic factors are associated with the length of the primary lung cancer investigation. To ensure that all patients receive the most appropriate health care and to avoid extra investigation time, clinicians may pay extra attention to patients who are less fortunate due to low income, troublesome transport to the hospital, or living alone.

Equity of referrals to type 2 diabetes rehabilitation in a universal welfare state

ObjectiveDespite aims of equal access to treatment and care in the Nordic countries, marked socioeconomic inequality in the development of type 2 diabetes (T2D) complications persists. The study purpose was to estimate the associations of individual socioeconomic position and deprivation at the general practitioner (GP) level with referrals to T2D rehabilitation.Research Design and Methods: In 2015–2018, 3390 people affiliated with 432 primary GPs living in the municipality of Copenhagen were identified through registry data as newly diagnosed with T2D. Of these, 656 (19%) individuals were referred to municipal rehabilitation services in 2015–2021. Individual socioeconomic position was measured by education, income, and employment. The Danish Deprivation Index (DADI) was used as a measure of GP-level deprivation. ResultsPatients were more likely to be referred to municipal rehabilitation if they had low vs. high income (hazard ratio (HR) 2.87 [women], 1.64 [men]), were not employed vs. employed (HR 1.95 [women], 1.23 [men]) and were affiliated with GPs with a low vs. very high level of deprivation (HR 7.63 [women], 4.30 [men]). The results suggest that GPs practice proportionate universalism by allocating treatment to lower socioeconomic individuals in likely higher need of care. However, the overall HR for referrals was lower among GPs with more deprived patient populations, indicating unequal treatment of all citizens, which conflicts with the aims of general universal health care. Inequality in rehabilitation healthcare services must be further addressed and investigated to prevent exacerbating health disparities.

Measures of Structural Racism Predict ICU Admission Following Intensive Chemotherapy for AML

INTRODUCTION: Recent observational studies have revealed that real-world complications of intensive chemotherapy for frontline treatment of acute myeloid leukemia (AML) far exceed those reported in clinical trials. A 2017 analysis of over 40,000 AML patients found that 26% of patients who received induction chemotherapy were admitted to the intensive care unit (ICU), with increased mortality for non-white patients (Halpern, JAMA Oncology 2016). In a newly created Chicago AML registry (Abraham, Blood 2022), higher ICU admission rate was noted following induction chemotherapy for non-white patients. The current study aims to i) describe treatment complications based on race/ethnicity and ii) examine structural racism (SR) measures as risk factors for ICU admission following intensive chemotherapy in a diverse real-world patient population. METHODS: Using the Chicago AML registry, we compared ethnoracial differences in treatment complications including infections, thrombosis, renal or liver dysfunction (defined as peak creatinine >1.5 g/dL or peak bilirubin >1.2 mg/dL), respiratory failure requiring ventilatory support and hemodynamic instability needing pressor support. We then examined associations of race/ethnicity and previously published measures of census tract disadvantage, affluence, and segregation (referred to as SR measures) with ICU admission. These structural barriers were examined alongside known predictors of treatment mortality including disease characteristics and comorbidities. Additional outcomes included duration of ICU stay and mortality. RESULTS: In this cohort of 573 patients who underwent intensive induction chemotherapy for AML, 30-day complications differed based on race/ethnicity. Renal dysfunction was highest in non-Hispanic black (NHB) patients with an incidence of 27.8% with 6% initiating dialysis compared to 17.6% of non-Hispanic white (NHW) and 11.3% of Hispanic patients with 2% needing dialysis. Hepatotoxicity was highest in Hispanic patients (64%) vs. NHB (51%) and NHW (47%). Infectious complications were highest in NHB with microbiologically documented infections in 50.6% compared to 39.7% in NHW and 32.6% in Hispanic. Venous thrombosis occurred in 14.5% of NHB patients, compared to 14.7% of NHW and 13.3% Hispanic patients. In total, 141 (24.6%) patients required ICU admission during intensive induction with rates differing significantly by race and ethnicity (p = 0.014). Average length of stay in the ICU was 7.8 days for NHB patients, 6.7 days for NHW and 6.0 days for Hispanics. Due to low 30-day mortality, we were unable to detect differences between ethnoracial groups. Mechanical ventilation was utilized in 32% of NHB compared to 26% of NHW and 20% of Hispanic patients admitted to the ICU. Vasopressor were required in 31% of NHB patients vs. 27% of NHW patients. Predictors of ICU admission in our dataset included non-white race, unmarried status, living in a neighborhood with lower % of NHW residents, and WBC > 50,000/µL at diagnosis. Additional census tract variables including higher disadvantage and lower affluence conferred nonsignificant risk. Interestingly, comorbidities, ELN Score and baseline creatinine > 1.5 g/dL were not predictors of ICU admission. CONCLUSIONS: In a real-world population of AML patients, we show variation in the spectrum of treatment complications based on race/ethnicity. Moreover, with detailed individual and neighborhood socioeconomic position (SEP) data, measures of SR predicted ICU admission following induction chemotherapy. Other significant predictors include marital status - an individual measure of SEP, and hyperleukocytosis, which may indicate delay in medical presentation. High comorbidity index did not predict increased rate of ICU admission similar to prior studies (Tawfik, J Geriatr Oncol, 2016), while renal dysfunction was a non-significant predictor. Collectively our results suggest that there is a need to incorporate individual and neighborhood SR measures to identify patients at risk of clinical decline when stressed with intensive therapies. An algorithmic approach to identify 'high risk’ patients based on clinical/molecular and structural factors could prompt more detailed assessment of fitness prior to initiation of chemotherapy and directly influence leukemia outcome disparities. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

The influence of neighbourhood-level socioeconomic deprivation on developing type 2 diabetes in older men: a longitudinal analysis of the British Regional Heart Study cohort data

BackgroundEvidence from the British longitudinal studies on the influence of neighbourhood-level socioeconomic deprivation in older men on developing type 2 diabetes mellitus is scarce. This study investigates the prospective associations of neighbourhood-level deprivation and individual socioeconomic position with type 2 diabetes mellitus incidence in older men. MethodsThe British Regional Heart Study comprises a cohort of 4252 men aged 60–79 years in 1998–2000 from 24 towns across the UK. Neighbourhood-level deprivation was based on the country specific 2004–05 Index of Multiple Deprivation (IMD) quintiles for participants' postcode of residence at baseline. Individual socioeconomic position was defined as occupational social class based on longest-held occupation at recruitment. Participants with prevalent diabetes were excluded. The incidence of type 2 diabetes mellitus was ascertained from biannual reviews of primary care records over 18 years of follow-up. Cox proportional hazard models were undertaken to examine associations. FindingsThe incidence of type 2 diabetes mellitus cases observed was 368 (9·9%), amongst the 3706 male participants. Age-adjusted rates of type 2 diabetes mellitus increased from IMD quintile 1 (least deprived) to quintile 4 (second most deprived), before decreasing in quintile 5. Compared with quintile 1, the age and individual social class adjusted hazard ratio (aHR) in quintile 4 was 1·52 (95% CI 1·09–2·13), remaining significant after further adjustments for obesity and family history of type 2 diabetes mellitus. Participants in the lowest social class had the highest rates of type 2 diabetes mellitus. The aHR by age and IMD scores for type 2 diabetes mellitus in the lowest social class compared with the highest social class was 2·12 (95% CI 1·15–3·89). InterpretationNeighbourhood-level and individual-level socioeconomic factors remain important predictors of developing type 2 diabetes mellitus in older men, demonstrating that inequalities persist in later life. Inequalities in diabetes and its underlying modifiable risk factors need to be addressed to reduce the burden of this disease in socioeconomically deprived older-age populations. FundingNone.

Impact of subjective and objective neighbourhood characteristics and individual socioeconomic position on allostatic load: A cross-sectional analysis of an all-age UK household panel study.

Research suggests that individuals living in more disadvantaged neighbourhoods experience higher levels of stress but this has generally been based on self-reported stress. We used survey-based neighbourhood quality indicators and biomarker data from Understanding Society, linked to census and crime statistics to explore associations of allostatic load (AL), an objective biomarker-based measure of cumulative stress, with subjective and objective neighbourhood characteristics. Analyses of 6887 respondents living in England show greater AL among those living in more disadvantaged areas, with objective measure associations stronger than subjective. Neighbourhood inequalities in AL were lower among respondents with higher individual SEP. These results suggest that individual-level SEP mitigates against the impact of negative, particularly objective, neighbourhood characteristics. Policies to reduce health inequalities should consider both individual and neighbourhood circumstances.

Relationship Between Neighborhood Disadvantage and Mild Traumatic Brain Injury Symptoms.

To test the hypotheses that (1) higher neighborhood disadvantage is associated with greater injury-related symptom severity in civilians with mild traumatic brain injury (mTBI) and (2) neighborhood disadvantage remains predictive after controlling for other established predictors. Level 1 trauma center and affiliated academic medical center. N = 171 individuals with mTBI. Prospective cohort study. Rivermead Post Concussion Symptoms Questionnaire (RPQ) total score assessed less than 24 hours and at 2 weeks, 3 months, and 6 months postinjury. Linear mixed-effects models were used to assess the relationship between predictor variables and mTBI-related symptom burden (RPQ score). Neighborhood disadvantage was quantified by the Area Deprivation Index (ADI), a composite of 17 markers of socioeconomic position (SEP) scored at the census block group level. Individuals in the upper ADI quartile of the national distribution displayed higher RPQ symptoms than those in the lower 3 quartiles ( P < .001), with a nonsignificant ADI × visit interaction ( P = .903). In a multivariable model, the effect of ADI remained significant ( P = .034) after adjusting for demographics, individual SEP, and injury factors. Other unique predictors in the multivariable model were gender (gender × visit P = .035), health insurance type ( P = .017), and injury-related litigation ( P = .012). Neighborhood disadvantage as quantified by the ADI is robustly associated with greater mTBI-related symptom burden throughout the first 6 months postinjury. That the effect of ADI remained after controlling for demographics, individual SEP, and injury characteristics implies that neighborhood disadvantage is an important, understudied factor contributing to clinical recovery from mTBI.

Socioeconomic inequalities in health status and survival: a cohort study in Rome

ObjectivesTo analyse the association between individual and contextual socioeconomic position (SEP) with health status and to investigate the role of SEP and baseline health status on survival.DesignCross-sectional and cohort study.SettingRome,...