Levels Of Socioeconomic Deprivation Research Articles

The accuracy of parent/carer proxy-reporting of caries experience in children and association with socioeconomic circumstances: a cross-sectional data linkage study.

To compare parent/carer proxy-reported dental caries experience of their 5-year-old child with epidemiological survey clinician examination of caries experience in the same children. To determine any differences in the accuracy by area-based socioeconomic group. A cross-sectional data linkage study linked data from the Growing Up in Scotland (GUS) study and the National Dental Inspection Programme (NDIP) school epidemiology survey. Parent/carer proxy-reported caries experience was compared with clinician-measured caries experience on n=3008 children, and data were stratified by home-residential area-based socioeconomic deprivation levels (Scottish Index of Multiple Deprivation (SIMD)). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated overall and stratified by SIMD. Overall, parent/carer proxy-reporting had low sensitivity (42.3% 95%CI: 39.0, 45.7) that decreased with decreasing deprivation (SIMD-1(most deprived): 49.4% to SIMD-5 (least deprived): 37.2%). Specificity remained consistently high overall and across area-based socioeconomic deprivation levels (overall=96.2%, 95%CI: 95.3, 97.0; SIMD-1: 94.4% SIMD-5: 97.8%). In children whose parents/carers reported them to have caries experience (GUS) a high percentage were found to have caries experience (NDIP) (PPV=81.8%, 95%CI: 78.2, 84.9). Parent/carer proxy-reporting of caries experience in 5-year-old children had very low sensitivity and was lowest in children from the least deprived areas. In contrast, parents/carers who reported their child had caries experience did so reasonably accurately. This study concludes that proxy reporting caries experience is not sufficiently sensitive to replace clinician examination in assessing dental caries experience in surveys of child populations and highlights the importance of data linkage to routine datasets.

Staffing and Antipsychotic Medication Use in Nursing Homes and Neighborhood Deprivation

Inappropriate use of antipsychotic medications in nursing homes is a growing public health concern. Residents exposed to higher levels of socioeconomic deprivation in the area around a nursing home may be currently exposed, or have a long history of exposure, to more noise pollution, higher crime rates, and have less opportunities to safely go outside the facility, which may contribute to psychological stress and increased risk of receiving antipsychotic medications inappropriately. However, it is unclear whether neighborhood deprivation is associated with use of inappropriate antipsychotic medications and whether this outcome is different by facility staffing levels. To evaluate whether reported inappropriate antipsychotic medication use differs in severely and less severely deprived neighborhoods, and whether these differences are modified by higher levels of total nurse staffing. This was a cross-sectional analysis of a national sample of nursing homes that linked across 3 national large-scale data sets for the year 2019. Analyses were conducted between April and June 2023. Neighborhood deprivation status (severe vs less severe) and total staffing hours (registered nurse, licensed practical nurse, certified nursing assistant). This study estimated the association between neighborhood deprivation and the percentage of long-stay residents who received an antipsychotic medication inappropriately in the nursing home at least once in the past week and how this varied by nursing home staffing through generalized estimating equations. Analyses were conducted on the facility level and adjusted for state fixed effects. This study included 10 966 nursing homes (1867 [17.0%] in severely deprived neighborhoods and 9099 [83.0%] in less deprived neighborhoods). Unadjusted inappropriate antipsychotic medication use was greater in nursing homes located in severely deprived neighborhoods (mean [SD], 15.9% [10.7%] of residents) than in those in less deprived neighborhoods (mean [SD], 14.2% [8.8%] of residents). In adjusted models, inappropriate antipsychotic medication use was higher in severely deprived neighborhoods vs less deprived neighborhoods (19.2% vs 17.1%; adjusted mean difference, 2.0 [95% CI, 0.35 to 3.71] percentage points) in nursing homes that fell below critical levels of staffing (less than 3 hours of nurse staffing per resident-day). These findings suggest that levels of staffing modify disparities seen in inappropriate antipsychotic medication use among nursing homes located in severely deprived neighborhoods compared with nursing homes in less deprived neighborhoods. These findings may have important implications for improving staffing in more severely deprived neighborhoods.

Solving poverty or tackling healthcare inequalities? Qualitative study exploring local interpretations of national policy on health inequalities under new NHS reforms in England

ObjectivesMajor reforms to the organisation of the National Health Service (NHS) in England established 42 integrated care systems (ICSs) to plan and coordinate local services. The changes are based on...

Higher area deprivation index is associated with poorer local control and overall survival in non-metastatic nasopharyngeal carcinoma.

Neighborhood socioeconomic deprivation impacts outcomes in various cancers. We examined this association in nasopharyngeal carcinoma (NPC) patients using the area deprivation index (ADI). We conducted a single-institution retrospective cohort study on NPC patients treated with definitive radiotherapy from 1980 to 2023. ADI was used as the primary exposure measure. Higher ADI indicates higher levels of socioeconomic deprivation. Of 561 patients, those with higher ADI (6-10 vs. 1-5) presented more commonly with AJCC stage III/IV compared to I/II (87% vs. 76%, p = 0.03). Increasing ADI decile score correlated with poorer overall survival (HR 1.14, 95% CI 1.01-1.28, p = 0.04). Local control was worse in patients from the most deprived quartile in the cohort ADI 5-10 (HR 2.11, 95% CI 1.01-4.41, p = 0.05). NPC patients from more disadvantaged neighborhoods undergoing radiotherapy had worse local control and survival outcomes. Interventions to address structural determinants of health and neighborhood disparities may improve these outcomes.

The association of socioeconomic status with semen parameters in a cohort of men in the United States.

Socioeconomic differences are present within the population of men who experience infertility and seek treatment. To study the association of socioeconomic status with semen parameters in a group of men using mail-in semen analyses. The records of 11,134 men that used mail-in semen analyses from a fertility company were identified. Their demographic information, semen parameters, and ZIP codes were collected. Area deprivation index (ADI) was used as a proxy for socioeconomic status and was calculated for each individual using their ZIP codes in order to measure their level of socioeconomic deprivation. A higher ADI signifies a more deprived area. The association between ADI and the semen parameters of this group was measured using linear regression analysis adjusted for age. 11,134 men were included in the study with a median age of 35 years (interquartile range (IQR): 32-40) and a median ADI of 83 (IQR: 68-97). The cohort had a median sperm concentration of 31 million/mL (IQR: 14-59), median total sperm count of 123 million (IQR: 57-224), median total motile sperm of 35 million (IQR: 9-95), median total motility of 32% (IQR: 15-52), progressive motility of 22% (IQR: 9-38), and morphology percent normal of 4% (IQR: 2-7). Higher ADI, indicating lower socioeconomic status, was negatively associated with various semen parameters, including sperm concentration, total sperm count, total motile sperm, and total and progressive motility. Men who live in more deprived areas are more likely to have worse semen parameters. Further research is needed to thoroughly examine the impact of socioeconomic status on male fertility. A comprehensive approach that targets upstream social, economic, and healthcare factors can possibly alleviate the negative association of socioeconomic status with fertility and semen parameters.

Diabetes mellitus as a cause of premature death in small areas of Spain by socioeconomic level from 2016 to 2020: A multiple-cause approach

ObjectiveThis study aimed to assess premature mortality due to Diabetes in small areas of Spain between 2016 and 2020, and its relationship with socioeconomic level and the immediate cause of death. As a secondary objective, we evaluated the effect of the Covid 19 pandemic. MethodsThis was an ecological study of premature mortality due to Diabetes from 2016 to 2020, with a focus on small areas. All deaths in people under 75 years of age due to Diabetes as the underlying cause were included ResultsThe final sample comprised 7382 premature deaths in 5967 census tracts. Women living in census tracts with an high level of deprivation(RR=2.40) were at a significantly higher risk. Mortality from Diabetes increased with deprivation, especially people aged 0–54(RR=2.40). People with an immediate cause of death related to a circulatory disease, living in census tracts with an high level of deprivation(RR=3.86) was associated with a significantly greater risk of death with underlying Diabetes. When a disease of the circulatory system was recorded as the immediate cause of death, being 65–74 years (RR=71.01) was associated with a significantly higher risk of premature mortality. ConclusionsLiving in geographic areas with higher levels of socioeconomic deprivation is associated with a higher risk of premature death from Diabetes in Spain. This relationship has a greater impact on women, people under 54 years, and people at risk of death caused directly by diseases of the circulatory system. Premature mortality due to diabetes saw a modest increase in 2020.

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998–2019

BackgroundHigher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. We aim to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998–2019.MethodsWe used the 2001 and 2011 Belgian Indices of Multiple Deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction, and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles.ResultsMen and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998–2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas.ConclusionPremature mortality rates have declined over time, but inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most to the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

Association of plant-based diets with total and cause-specific mortality across socioeconomic deprivation level: a large prospective cohort.

Current evidence on the association between plant-based diet indices (PDIs) and mortality is inconsistent. We aimed to investigate the association of PDIs with all-cause and cause-specific mortality and to examine whether such associations were modified by socioeconomic deprivation level. A total of 189,003 UK Biobank participants with at least one 24-h dietary assessment were included. All food items were categorised into three groups, including healthy plant foods, less healthy plant foods, and animal foods. Three PDIs, including the overall PDI (positive scores for all plant-based food intake and inverse scores for animal-based foods), the healthful PDI (hPDI) (positive scores only for healthy plant food intake and inverse scores for others), and the unhealthful PDI (uPDI) (positive scores only for less healthy plant food intake and inverse scores for others), were calculated according to the quantities of each food subgroup in three categories. The Townsend deprivation index was used as the indicator of socioeconomic deprivation level. Cox proportional hazard models were used to estimate the hazard ratios (HRs) of PDIs for all-cause and cause-specific mortality. The modification effects of socioeconomic deprivation levels on these associations were evaluated. During a median follow-up of 9.6years, 9335 deaths were documented. Compared with the lowest quintile, the highest quintile of overall PDI was associated with adjusted HRs of 0.87 (95% CI 0.81-0.93) for all-cause mortality and 0.77 (0.66-0.91) for cardiovascular mortality. Compared with the lowest quintile, the highest quintile of hPDI was associated with lower risks of all-cause mortality (0.92, 0.86-0.98), and death caused by respiratory disease (0.63, 0.47-0.86), neurological disease (0.65, 0.48-0.88), and cancer (0.90, 0.82-0.99). Compared with the lowest quintile, the highest quintile of uPDI was associated with an HR of 1.29 (1.20-1.38) for all-cause mortality, 1.95 (1.40-2.73) for neurological mortality, 1.54 (1.13-2.09) for respiratory mortality, and 1.16 (1.06-1.27) for cancer mortality. The magnitudes of associations of hPDI and uPDI with mortality were larger in the most socioeconomically deprived participants (the highest tertile) than in the less deprived ones (p-values for interaction were 0.039 and 0.001, respectively). This study showed that having a high overall PDI and hPDI were related to a reduced risk of death, while the uPDI was linked to a higher risk of death. Sticking to a healthy plant-based diet may help decrease mortality risks across socioeconomic deprivation levels, especially for those who are the most socioeconomically deprived.

Trends in inequalities in avoidable hospitalisations across the COVID-19 pandemic: a cohort study of 23.5 million people in England

ObjectiveTo determine whether periods of disruption were associated with increased ‘avoidable’ hospital admissions and wider social inequalities in England.DesignObservational repeated cross-sectional study.SettingEngland (January 2019 to March 2022).ParticipantsWith the approval of...

Cholangiocarcinoma across England: Temporal changes in incidence, survival and routes to diagnosis by region and level of socioeconomic deprivation

While cholangiocarcinoma (CCA) incidence and mortality rates are increasing globally, whether there are regional/temporal variations in these rates for different biliary tract cancer (BTC) subtypes, or whether they differ by sex, socioeconomic status, or route to diagnosis (RtD) remains unknown. In this work, we aimed to perform an in-depth analysis of data on the incidence, mortality, survival and RtD of CCA and other BTCs. Data on all BTCs diagnosed in England between 2001 and 2018 were extracted from NHS Digital's National Cancer Registration Dataset. Age-standardised incidence rates (ASRs), mortality rates (ASMRs) and net survival rates were calculated, and Kaplan-Meier overall survival estimates and RtD trends were analysed. Analyses were stratified by sex, socioeconomic deprivation, tumour subtype and region. The ASR for CCA rose from 2.9 in 2001-2003 to 4.6 in 2016-2018 and from 1.0 to 1.8 for gallbladder cancers (GBCs). ASMR trends mirror those of incidence, with most deaths due to iCCA. Over 20% of patients with CCA were under 65 years old. The ASRs and ASMRs were consistently higher in the most socioeconomically deprived group for CCA and GBC. The most common RtD was the emergency route (CCA 49.6%, GBC 46.2% and ampulla of Vater cancer 43.0%). The least deprived patients with CCA and ampulla of Vater cancer had better overall survival (p <0.001). Net survival rates rose for all BTCs, with 3-year net survival for CCA increasing from 9.2% in 2001 to 12.6% in 2016-2018. There was notable geographical variation in ASRs, ASMRs and net survival for all BTCs. BTC incidence and mortality rates are increasing, with differences observed between tumour types, socioeconomic deprivation groups, RtDs and geographical regions. This highlights the need for targeted interventions, earlier diagnosis and better awareness of this condition amongst the public and healthcare professionals. Cholangiocarcinoma (CCA) incidence and mortality rates are rising globally, particularly for intrahepatic CCA. However, it has not previously been reported if, within a single country, there are temporal and regional differences in incidence, mortality and survival rates for different biliary tract subtypes, and whether these differ by sex, socioeconomic status, or route of diagnosis. In this study we show that mortality rates for patients with CCA continue to rise and are almost 40% higher in the most socioeconomically deprived compared to the least; additionally, we observed regional variation within England in incidence, mortality and survival. This study is relevant to researchers and policy makers as it highlights regional variation and inequality, as well as emphasising the need for earlier diagnosis and better awareness of this condition amongst the public and healthcare professionals.

The enrolment gap and the COVID-19 pandemic: an exploration of routinely collected primary care enrolment data from 2016 to 2023 in Aotearoa New Zealand.

Introduction For many countries, primary health care (PHC) serves as the gateway for individuals to access healthcare services. It has been shown to not only improve health but also health equity. To maximise this benefit, a substantial proportion of the population needs to be connected with PHC. The aim here was to assess the degree and evolution of enrolment in light of the coronavirus disease 2019 (COVID-19) pandemic in Aotearoa New Zealand. Methods We examined data on the enrolment of people in PHC organisations between 2016 and 2023. This analysis included breakdowns by sex, age groups, ethnicity, and socioeconomic deprivation levels. Poisson regression models were used to explore whether enrolment changed because of the COVID-19 pandemic. Results In 2016, Māori, young people and the most deprived had lower enrolment rates relative to their peers. Although young people's enrolment rate increased over time, especially during the COVID-19 pandemic, the Māori enrolment rate declined, as did the rate for Pacific people, and those who were the most deprived. The groups who had increases in enrolment rates were those with the lowest levels of socioeconomic deprivation and those in the 'Other' ethnic category, predominantly made up of European New Zealanders. Conclusion Enrolment statistics reveal disparities across sociodemographic lines. The COVID-19 pandemic was associated with changed patterns of enrolment that appear to have consequences for population health.

Heritage through collage: a participatory and creative approach to heritage making

ABSTRACT Drawing on collages created by residents in Great Yarmouth – a coastal location in the East of England, characterised by a prominent history of fishing and current high levels of socioeconomic deprivation – we use a participatory arts-based approach to explore how individuals and communities participate in the making of heritage. Through the process of creating collages that represent the history of the town, and their own history within it, participants choose how to materialise and communicate what we understand as intangible (the stories) and tangible (the collages) heritage, where a sense of place and belonging is preserved or restored. We found that, first, the non-linear nature of collaging, which we see as cultural practice, allowed participants to reconnect with the history of which they are proud to be a part yet felt was ‘lost’ in the transformations that have occurred in the town. Through collage, they were able to layer and juxtapose the different elements of the story in unique ways, with a focus on time, politics and affects. Second, the collages themselves – and their dissemination in various exhibitions through the course of one year – contributed to validate their key role in the creation and communication of heritage.

Ancestry-attenuated effects of socioeconomic deprivation on type 2 diabetes disparities in the All of Us cohort

BackgroundDiabetes is a common disease with a major burden on morbidity, mortality, and productivity. Type 2 diabetes (T2D) accounts for roughly 90% of all diabetes cases in the USA and has a greater observed prevalence among those who identify as Black or Hispanic.MethodsThis study aimed to assess T2D racial and ethnic disparities using the All of Us Research Program data and to measure associations between genetic ancestry (GA), socioeconomic deprivation, and T2D. We used the All of Us Researcher Workbench to analyze T2D prevalence and model its associations with GA, individual-level (iSDI), and zip code-based (zSDI) socioeconomic deprivation indices among participant self-identified race and ethnicity (SIRE) groups.ResultsThe study cohort of 86,488 participants from the four largest SIRE groups in All of Us: Asian (n = 2311), Black (n = 16,282), Hispanic (n = 16,966), and White (n = 50,292). SIRE groups show characteristic genetic ancestry patterns, consistent with their diverse origins, together with a continuum of ancestry fractions within and between groups. The Black and Hispanic groups show the highest levels of socioeconomic deprivation, followed by the Asian and White groups. Black participants show the highest age- and sex-adjusted T2D prevalence (21.9%), followed by the Hispanic (19.9%), Asian (15.1%), and White (14.8%) groups. Minority SIRE groups and socioeconomic deprivation, both iSDI and zSDI, are positively associated with T2D, when the entire cohort is analyzed together. However, SIRE and GA both show negative interaction effects with iSDI and zSDI on T2D. Higher levels of iSDI and zSDI are negatively associated with T2D in the Black and Hispanic groups, and higher levels of iSDI and zSDI are negatively associated with T2D at high levels of African and Native American ancestry.ConclusionsSocioeconomic deprivation is associated with a higher prevalence of T2D in Black and Hispanic minority groups, compared to the majority White group. Nonetheless, socioeconomic deprivation is associated with reduced T2D risk within the Black and Hispanic groups. These results are paradoxical and have not been reported elsewhere, with possible explanations related to the nature of the All of Us data along with SIRE group differences in access to healthcare, diet, and lifestyle.

Levels of Socioeconomic Deprivation Are Associated with Worse Kidney Outcomes in Patients with IgA Nephropathy: Data from UK RaDaR

Levels of Socioeconomic Deprivation Are Associated with Worse Kidney Outcomes in Patients with IgA Nephropathy: Data from UK RaDaR

Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making

BackgroundAlthough lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS.MethodsThis retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 – March 18, 2021 in a centralized LCS program. Individuals were categorized into Complete Screening vs. Incomplete Screening subgroups based on the status of subsequent LDCT completion. A multi-level, multivariate model was constructed to identify factors associated with incomplete screening.ResultsAmong individuals undergoing telemedicine SDM during the study period, 20.6% did not complete a LDCT scan. Bivariate analysis demonstrated that Black/African-American race, Medicaid insurance status, and new patient type were associated with greater odds of incomplete screening. On multi-level, multivariate analysis, individuals who were new patients undergoing baseline LDCT or resided in a census tract with a high level of socioeconomic deprivation had significantly higher odds of incomplete screening. Individuals with a greater level of education experienced lower odds of incomplete screening.ConclusionsAmong high-risk individuals undergoing telemedicine SDM for LCS, predictors of incomplete screening included low education, high neighborhood-level deprivation, and new patient type. Future research should focus on testing implementation strategies to improve LDCT completion rates while leveraging telemedicine for high-quality LCS.

Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019

Cancer mortality has declined in recent decades, but—due to a lack of national individual-level data—it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany’s most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.

Evaluating the impact of minimum unit pricing for alcohol on road traffic accidents in Scotland after 20 months: An interrupted time series study.

On 1 May 2018, Scotland implemented Minimum Unit Pricing (MUP) of £0.50 per unit of alcohol with the aim to lower alcohol consumption and related harms, and reduce health inequalities. We measured the impact of MUP on the most likely categories of road traffic accidents (RTAs) to be affected by drink-driving episodes (fatal and nighttime) up to 20 months after the policy implementation. Further, we checked whether any association varied by level of socio-economic deprivation. An interrupted time series design was used to evaluate the impact of MUP on fatal and nighttime RTAs in Scotland and any effect modification across socio-economic deprivation groups. RTAs in England and Wales (E&W) were used as a comparator. Covariates representing severe weather events, bank holidays, seasonal and underlying trends were adjusted for. In Scotland, MUP implementation was associated with 40.5% (95% confidence interval: 15.5%, 65.4%) and 11.4% (-1.1%, 24.0%) increases in fatal and nighttime RTAs, respectively. There was no evidence of differential impacts of MUP by level of socio-economic deprivation. While we found a substantial increase in fatal RTAs associated with MUP, null effects observed in nighttime RTAs and high uncertainty in sensitivity analyses suggest caution be applied before attributing causation to this association. There is no evidence of an association between the introduction of minimum unit pricing for alcohol in Scotland and a reduction in fatal and nighttime road traffic accidents, these being outcome measure categories that are proxies of outcomes that directly relate alcohol consumption to road traffic accidents.

Greater Socioeconomic Disadvantage as Measured by the Area Deprivation Index Is Associated With Failure of Healing Following Arthroscopic Repair of Massive Rotator Cuff Tears but Not With Clinical Outcomes

To analyze the relationship between Area Deprivation Index (ADI) and preoperative status and short-term postoperative clinical outcomes among patients who underwent arthroscopic rotator cuff repair (ARCR) of massive rotator cuff tears (MRCTs). A retrospective review was conducted on prospectively maintained data on patients who underwent ARCR of MRCTs defined as tear size ≥5 cm or complete tear of at least 2 tendons, with a minimum 2-year follow-up and a valid home address between January 2015 and December 2018. Each patient's home address was mapped to the ADI to determine neighborhood disadvantage. This composite index is composed of 17 census-based indicators, including income, education, employment, and housing quality to quantify the level of socioeconomic deprivation. Ratings were recorded and categorized based on the sample's percentile. Patients were then divided into 2 groups: upper quartile (ie, most disadvantaged [≥75th percentile]) and lower 3 quartiles (ie, least disadvantaged [<75th percentile]). Bivariate analysis was performed to associate ADI with patient-reported outcomes (PROs) and range of motion pre- and postoperatively, as well as complications, healing rate, satisfaction, and return to work. Patients reaching or exceeding the minimal clinically important difference for visual analog scale (VAS), American Shoulder and Elbow Surgeons, Veterans Rand 12-Item questionnaire, and subjective shoulder value were recorded for both cohorts. Ninety-nine patients were eligible for study analysis. Preoperative PROs and range of motion were similar, except for a greater VAS for pain (6.3 vs 4.3; P < .01) and lower American Shoulder and Elbow Surgeons score (32.2 vs 45.1; P= .01) in the most disadvantaged group. Both groups showed similar postoperative PROs scores, but greater VAS improvement was seen in the upper quartile group (Δ 4.2 vs Δ 3.0; P= .04). In contrast, only the least-disadvantaged group significantly improved in internal rotation (P= .01) and forward flexion (18°; P < .01) from baseline. Although satisfaction, complications, and return to work were comparable (P > .05), failure of healing occurred more frequently in the most disadvantaged group (21% vs 6%; P= .03). Patients with MRCTs residing in the most disadvantaged neighborhoods as measured by the ADI have more pain and functional limitations before undergoing ARCR but demonstrate similar postoperative functional improvements to patients from other socioeconomic backgrounds. Failure of healing of MRCTs may be more common in disadvantaged groups. Furthermore, both groups reported similar rates of clinically important functional improvement. Level III, retrospective cohort comparison.

Changes in neighborhood physical and social environments matter for change in mental health: Longitudinal evidence from Dutch panel data

Numerous neighborhood environments have been recognized to affect mental health, but only a few longitudinal studies investigated these associations jointly and whether different population groups are affected differently. We used three-wave panel data of 2699 adults between 2010 and 2016 in the Netherlands to assess the associations between changes in neighborhood physical and social environments and mental health changes. Further, we assessed possible effect modification of gender and income. Mental health was measured using the Mental Health Inventory. Time-varying exposure to green space, blue space, population density, air pollution, socioeconomic deprivation, and social fragmentation were assigned based on individuals' neighborhood histories. Fixed-effect regressions were conducted to assess within-person associations between single and multiple exposures on mental health for the entire sample and stratified by gender and income. Our single-exposure models showed that increases in blue space were significantly associated with mental health improvements, while increases in fine particulate matter (PM2.5) resulted in declines in mental health. These associations were not attenuated in the multi-exposure model. We observed no significant associations for the remaining environments. Stratification analyses showed that females’ mental health further declined as PM2.5 concentrations increased compared to males. Increasing levels of socioeconomic deprivation were associated with further declines in mental health among the less well-off compared with higher-income earners. Our longitudinal findings suggested that neighborhood physical and social environment changes were associated with mental health changes. Future research is required to establish the underlying pathways.

Association between socioeconomic deprivation and presentation with a ruptured abdominal aortic aneurysm

ObjectiveGiven the ongoing nature of research in the social determinants space and urges to improve United States Preventive Services Task Force screening efforts for abdominal aortic aneurysms (AAAs), this project aims to characterize the association between the level of socioeconomic deprivation, rurality, and ruptured AAA (rAAA) presentation across the United States. MethodsWe queried the Vascular Quality Initiative registry (2010-2019) for patients with AAAs. The area deprivation index (ADI) is an index from 1 to 100 used to capture socioeconomic status. ADI was grouped into quintiles, with the most deprived regions being quintile 5 and having the highest ADI index. Multivariable logistic regression assessed the association between ADI, rurality, and rAAA presentation overall and before age 65. ResultsOf the 82,909 patients included, 11,458 patients (14%) resided in the most socioeconomically deprived regions, and 18,083 patients (22%) lived in rural regions. Overall, 6831 patients (8.2%) experienced an rAAA, with 4696 patients (69%) residing in the three most deprived quintiles. Most patients underwent endovascular repair (n = 67,933; 82%), followed by open repair (n = 14,976; 18%). On multivariable analysis, residence in the most socioeconomically deprived region was associated with a near 1.5-fold increased odds of presenting with an rAAA compared with a residence in the least deprived regions (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.31-1.63; P < .001), whereas urban residence was associated with a decreased odds to present with an rAAA compared with rural residence (OR, 0.84; 95% CI, 0.79-0.89; P < .001). When stratifying the study population by the United States Preventive Services Task Force recommended age for AAA screening (65 years old), 14,147 patients (17%) were under 65. Of those under 65, 1381 patients (9.8%) experienced a rAAA, and 9955 patients (71%) resided in the three most deprived quintiles. Residence in the most socioeconomically deprived region was associated with an increased odds of presenting with an rAAA compared with residence in the least deprived region (OR, 1.31; 95% CI, 1.01-1.69; P = .042). However, there were no significant associations between rural residence and increased rAAA presentation among individuals under 65 (OR, 1.07; 95% CI, 0.93-1.23; P = .36). ConclusionsAmong all patients in this study, patients residing in highly socioeconomically deprived or rural regions were more likely to present with an rAAA, but among those under 65, only residence in a socioeconomically deprived area was associated with increased odds of rAAA presentation. Understanding the effects of socioeconomic deprivation on rAAA presentation can identify at-risk populations for early AAA screening before rupture.