Vascular service provision during the COVID-19 pandemic worsened major amputation rates in socially deprived diabetic populations.

Introduction: The Coronavirus Disease - 2019 (COVID-19) pandemic significantly impacted healthcare service provision and put diabetic patients at increased risk of adverse health outcomes. We aimed to assess the impact of the COVID-19 pandemic on the incidence and demographic shift of major lower-limb amputation in diabetic patients. Methods: We performed a retrospective analysis of diabetic patient records undergoing major lower-limb amputation between 01/03/2019 and 01/03/2021 at the Royal Sussex County Hospital, the regional arterial hub for Sussex. Primary outcomes were amputation incidence rates and patient demographics compared between the prepandemic and pandemic cohorts. Results: The incidence rate ratio of major lower-limb amputations shows a drop in amputations during the pandemic compared to pre-pandemic (IRR 0.82; 95% CI 0.57-1.18). Data suggests a shift in the social deprivation background of patients receiving amputations to disproportionately affect those in the more deprived 50% of the population (p=0.038). Younger patients received more amputations during the pandemic compared to prepandemic levels (p=0.001). Conclusion: Results suggest that during the COVID-19 pandemic there was a paradoxical reduction in amputations compared to prepandemic levels. However, changes to the demographic makeup of patient's receiving amputations are alarming as younger, and more deprived patients have been disproportionately affected by the pandemic.

Impact of Neighborhood Social Deprivation on Delays to Access for Transcatheter Aortic Valve Replacement: Wait-Times and Clinical Consequences.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) has become the standard of care for severe aortic stenosis treatment. Exponential growth in demand has led to prolonged wait times and adverse patient outcomes. Social marginalization may contribute to adverse outcomes. Our objective was to examine the association between different measures of neighborhood-level marginalization and patient outcomes while on the TAVR waiting list. A secondary objective was to understand if sex modifies this relationship. METHODS AND RESULTS: We conducted a population-based retrospective cohort study of 11 077 patients in Ontario, Canada, referred to TAVR from April 1, 2018, to March 31, 2022. Primary outcomes were death or hospitalization while on the TAVR wait-list. Using cause-specific Cox proportional hazards models, we evaluated the relationship between neighborhood-level measures of dependency, residential instability, material deprivation, and ethnic and racial concentration with primary outcomes as well as the interaction with sex. After multivariable adjustment, we found a significant relationship between individuals living in the most ethnically and racially concentrated areas (quintile 4 and 5) and mortality (hazard ratio [HR], 0.64 [95% CI, 0.47-0.88] and HR, 0.73 [95% CI, 0.53-1.00], respectively). There was no significant association between material deprivation, dependency, or residential instability with mortality. Women in the highest ethnic or racial concentration quintiles (4 and 5) had significantly lower risks for mortality (HR values of 0.52 and 0.56, respectively) compared with quintile 1. CONCLUSIONS: Higher neighborhood ethnic or racial concentration was associated with decreased risk for mortality, particular for women on the TAVR waiting list. Further research is needed to understand the drivers of this relationship.

Is it legitimate to use unplanned hospitalizations as a quality indicator for cancer patients? A retrospective French cohort study with special attention to the influence of social deprivation.

PURPOSE: Readmission indicators are used around the world to assess the quality of hospital care. We aimed to assess the relevance of this type of indicator in oncology, especially for socially deprived patients. Our objectives were (1) to assess the proportion of unplanned hospitalizations (UHs) in cancer patients, (2) to assess the proportion of UHs that were avoidable, i.e., related to poor care quality, and (3) to analyze cancer patients the effect of patients' deprivation level on the type of UH (avoidable UHs vs. unavoidable UHs). METHODS: In a French university hospital, we selected all hospitalizations over a year for a random sample of cancer patients. Based on medical records, we identified those among UHs due to avoidable health problems. We assessed the association between social deprivation, home-to-hospital distance, or home-to-general practitioner with the type of UH (avoidable vs. unavoidable) via a multivariate binary logit estimation. RESULTS: Among 2349 hospitalizations (355 patients), there were 383 UHs (16 %), among which 38% were avoidable. Among UHs, the European Deprivation Index was significantly associated with the risk of avoidable UHs, with a lower risk of avoidable UH for patients with medium or high social deprivation. CONCLUSION: Our results suggest that the use of UHs rate as a quality indicator is questionable in oncology. Indeed, the majority of UHs were not avoidable. Furthermore, within UHs, those involving patients with medium or high social deprivation are more often unavoidable in comparison with other patients.

Assessment of the impact of social deprivation, distance to hospital and time to diagnosis on survival in idiopathic pulmonary fibrosis.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive condition associated with a variable prognosis. The relationship between socioeconomic status or distance travelled to respiratory clinics and prognosis is unclear. RESEARCH QUESTION: To determine whether socioeconomic status, distance to hospital and time to referral affects survival in patients with IPF. STUDY DESIGN AND METHODS: In this retrospective cohort study, we used data collected from the British Thoracic Society Interstitial Lung Diseases Registry, between 2013 and 2021 (n = 2359) and calculated the quintile of Index of Multiple Deprivation 2019 score, time from initial symptoms to hospital attendance and distance as the linear distance between hospital and home post codes. Survival was assessed using Cox proportional hazards models. RESULTS: There was a significant association between increasing quintile of deprivation and duration of symptoms prior to hospital presentation, Gender Age Physiology (GAP) index and receipt of supplemental oxygen and antifibrotic therapies at presentation. The most deprived patients had worse overall survival compared to least deprived after adjusting for smoking status, GAP index, distance to hospital and time to referral (HR = 1.39 [1.11, 1.73]; p = 0.003). Patients living furthest from a respiratory clinic also had worse survival compared to those living closest (HR = 1.29 [1.01, 1.64]; p = 0.041). INTERPRETATION: The most deprived patients with IPF have more severe disease at presentation and worse outcomes. Living far from hospital was also associated with poor outcomes. This suggests inequalities in access to healthcare and requires consideration in delivering effective and equitable care to patients with IPF.

Impact of Residential Social Deprivation on Prediction of Heart Failure in Patients With Type 2 Diabetes: External Validation and Recalibration of the WATCH-DM Score Using Real World Data.

BACKGROUND: Patients with type 2 diabetes are at risk of heart failure hospitalization. As social determinants of health are rarely included in risk models, we validated and recalibrated the WATCH-DM score in a diverse patient-group using their social deprivation index (SDI). METHODS: We identified US Veterans with type 2 diabetes without heart failure that received outpatient care during 2010 at Veterans Affairs medical centers nationwide, linked them to their SDI using residential ZIP codes and grouped them as SDI <20%, 21% to 40%, 41% to 60%, 61% to 80%, and >80% (higher values represent increased deprivation). Accounting for all-cause mortality, we obtained the incidence for heart failure hospitalization at 5 years follow-up; overall and in each SDI group. We evaluated the WATCH-DM score using the C statistic, the Greenwood Nam D'Agostino test χ2 test and calibration plots and further recalibrated the WATCH-DM score for each SDI group using a statistical correction factor. RESULTS: In 1 065 691 studied patients (mean age 67 years, 25% Black and 6% Hispanic patients), the 5-year incidence of heart failure hospitalization was 5.39%. In SDI group 1 (least deprived) and 5 (most deprived), the 5-year heart failure hospitalization was 3.18% and 11%, respectively. The score C statistic was 0.62; WATCH-DM systematically overestimated heart failure risk in SDI groups 1 to 2 (expected/observed ratios, 1.38 and 1.36, respectively) and underestimated the heart failure risk in groups 4 to 5 (expected/observed ratios, 0.95 and 0.80, respectively). Graphical evaluation demonstrated that the recalibration of WATCH-DM using an SDI group-based correction factor improved predictive capabilities as supported by reduction in the χ2 test results (801-27 in SDI groups I; 623-23 in SDI group V). CONCLUSIONS: Including social determinants of health to recalibrate the WATCH-DM score improved risk prediction highlighting the importance of including social determinants in future clinical risk prediction models.

Higher complication rates following primary total shoulder arthroplasty in patients presenting from areas of higher social deprivation.

Aims: The aim of this study was to characterize the influence of social deprivation on the rate of complications, readmissions, and revisions following primary total shoulder arthroplasty (TSA), using the Social Deprivation Index (SDI). The SDI is a composite measurement, in percentages, of seven demographic characteristics: living in poverty, with < 12 years of education, single-parent households, living in rented or overcrowded housing, households without a car, and unemployed adults aged < 65 years. Methods: Patients aged ≥ 40 years, who underwent primary TSA between 2011 and 2017, were identified using International Classification of Diseases (ICD)-9 Clinical Modification and ICD-10 procedure codes for TSA in the New York Statewide Planning and Research Cooperative System database. Readmission, reoperation, and other complications were analyzed using multivariable Cox proportional hazards regression controlling for SDI, age, ethnicity, insurance status, and Charlson Comorbidity Index. Results: A total of 17,698 patients with a mean age of 69 years (SD 9.6), of whom 57.7% were female, underwent TSA during this time and 4,020 (22.7%) had at least one complication. A total of 8,113 patients (45.8%) had at least one comorbidity, and the median SDI in those who developed complications 12 months postoperatively was significantly greater than in those without a complication (33 vs 38; p < 0.001). Patients from areas with higher deprivation had increased one-, three-, and 12-month rates of readmission, dislocation, humeral fracture, urinary tract infection, deep vein thrombosis, and wound complications, as well as a higher three-month rate of pulmonary embolism (all p < 0.05). Conclusion: Beyond medical complications, we found that patients with increased social deprivation had higher rates of humeral fracture and dislocation following primary TSA. The large sample size of this study, and the outcomes that were measured, add to the literature greatly in comparison with other large database studies involving TSA. These findings allow orthopaedic surgeons practising in under-served or low-volume areas to identify patients who may be at greater risk of developing complications.

Social Deprivation and End-of-Life Care Use Among Adults With Cancer.

PURPOSE: Socioeconomic differences are partially responsible for racial inequities in cancer outcomes, yet the association of area-level socioeconomic disadvantage and race with end-of-life (EOL) cancer care quality is poorly understood. METHODS: This retrospective study used electronic medical records from an academic health system to identify 33,635 adults with cancer who died between 2013 and 2019. Using multivariable logistic regression, we examined associations between decedent characteristics and EOL care, including emergency department (ED) visits, intensive care unit (ICU) stays, palliative care consultation (PCC), hospice order, and in-hospital deaths. Social deprivation index was used to measure socioeconomic disadvantages. RESULTS: Racially minoritized decedents had higher odds of ICU stay than the least deprived White decedents (eg, other race Q3: aOR, 2.06 [99% CI, 1.26 to 0.3.39]). White and Black decedents from more deprived areas had lower odds of ED visit (White Q3: aOR, 0.382 [99% CI, 0.263 to 0.556]; Black Q3: aOR, 0.566 [99% CI, 0.373 to 0.858]) than least deprived White decedents. Compared with White decedents living in least deprived areas, racially minoritized decedents had higher odds of receiving PCC and hospice order, whereas White decedents in most deprived areas had lower odds of PCC (aOR, 0.727 [99% CI, 0.592 to 0.893]) and hospice order (aOR, 0.845 [99% CI, 0.724 to 0.986]). Greater deprivation was associated with greater odds of hospital death relative to least deprived White decedents, but only among minoritized decedents (eg, Black Q4: aOR, 2.16 [99% CI, 1.82 to 2.56]). CONCLUSION: Area-level socioeconomic disadvantage is not uniformly associated with poorer EOL cancer care, with differences among decedents of different racial groups.

Are Social Deprivation and Low Traditional Health Literacy Associated With Higher PROMIS CAT Completion in Orthopaedic Surgery?

BACKGROUND: The Patient-Reported Outcomes Measurement Information System® (PROMIS®) may be used to assess an individual patient's perspective of their physical, mental, and social health through either standard or computer adaptive testing (CAT) patient questionnaires. These questionnaires are used across disciplines; however, they have seen considerable application in orthopaedic surgery. Patient characteristics associated with PROMIS CAT completion have not been examined within the context of social determinants of health, such as social deprivation or health literacy, nor has patient understanding of the content of PROMIS CAT been assessed. QUESTIONS/PURPOSES: (1) What patient demographics, including social deprivation, are associated with completion of PROMIS CAT questionnaires? (2) Is health literacy level associated with completion of PROMIS CAT questionnaires? (3) Do patients with lower health literacy have a higher odds of completing PROMIS CAT without fully understanding the content? METHODS: Between June 2022 and August 2022, a cross-sectional study was performed via a paper survey administered to patients at a single, urban, quaternary academic medical center in orthopaedic subspecialty clinics of foot and ankle, trauma, and hand/upper extremity surgeons. We considered all English-speaking patients aged 18 or older, including those with limited reading and/or writing abilities, as eligible provided they received an iPad in clinic to complete the PROMIS CAT questionnaire as part of their routine standard clinical care or they completed the questionnaire via a patient portal before the visit. In all, 946 patients were considered eligible during the study period and a convenience sample of 36% (339 of 946) of patients was approached for inclusion due to clinic time constraints. Fifteen percent (52 of 339) declined to participate, leaving 85% (287 of 339) of patients for analysis here. Median (range) age of study participants was 49 years (35 to 64). Fifty-eight percent (167 of 287) of study participants self-identified as non-Hispanic Black or African American and 26% (75 of 287) as non-Hispanic White. Even proportions were observed across education levels (high school graduate or less, 29% [82 of 287]; some college, 25% [73 of 287]; college graduate, 25% [71 of 287]; advanced degree, 20% [58 of 287]). Eighteen percent (52 of 287) of patients reported an annual income bracket of USD 0 to 13,000, and 17% (48 of 287) reported more than USD 120,000. Forty-six percent (132 of 287) of patients worked full-time, 21% (59 of 287) were retired, and 23% (66 of 287) were unemployed or on disability. The primary outcome of interest was self-reported PROMIS CAT questionnaire completion grouped as: fully completed, partially completed, or no part completed. Overall, self-reported PROMIS CAT questionnaire completion proportions were: 80% (229 of 287) full completion, 13% (37 of 287) partial completion, and 7% (21 of 287) no part completed. We collected the National Area Deprivation Index (ADI) score and the Brief Health Literacy Screening Tool (BRIEF) as part of the study survey to associate with level of completion. Additionally, patient understanding of PROMIS CAT was assessed through Likert-scaled responses to a study survey question that directly asked whether the patient understood all of the questions on the PROMIS CAT questionnaire. Responses to this question may have been limited by social desirability bias, and hence may overestimate how many individuals genuinely understood the questionnaire content. However, the benefit of this approach was it efficiently allowed us to estimate the ceiling effect of patient comprehension of PROMIS CAT and likely had a high degree of specificity for detecting lack of comprehension. RESULTS: ADI score adjusted for age was not associated with PROMIS CAT completion (partial completion OR 1.00 [95% CI 0.98 to 1.01]; p = 0.72, no part completed OR 1.01 [95% CI 0.99 to 1.03]; p = 0.45). Patients with lower health literacy scores, however, were more likely to not complete any part of their assigned questionnaires than patients with higher scores (no part completed OR 0.85 [95% CI 0.75 to 0.97]; p = 0.02). Additionally, 74% (26 of 35) of patients who did not fully understand all of the PROMIS CAT questionnaire questions still fully completed them-hence, 11% (26 of 229) of all patients who fully completed PROMIS CAT did not fully understand the content. Among patients self-reporting full completion of PROMIS CAT with health literacy data (99% [227 of 229]), patients with inadequate/marginal health literacy were more likely than patients with adequate health literacy to not fully understand all of the questions (21% [14 of 67] versus 8% [12 of 160], OR 3.26 [95% CI 1.42 to 7.49]; p = 0.005). CONCLUSION: Within an urban, socioeconomically diverse, orthopaedic patient population, health literacy was associated with PROMIS CAT questionnaire completion. Lower health literacy levels increased the likelihood of not completing any part of the assigned PROMIS CAT questionnaires. Additionally, patients completed PROMIS CAT without fully understanding the questions. This indicates that patient completion does not guarantee comprehension of the questions nor validity of their scores, even more so among patients with low health literacy. This is a substantive concern for fidelity of data gathered from PROMIS CAT. CLINICAL RELEVANCE: Clinical implementation of the PROMIS CAT in orthopaedic populations will benefit from further research into health literacy to increase questionnaire completion and to ensure that patients understand the content of the questions they are answering, which will increase the internal validity of the outcome measure.

Correlations Between Relative Prevalence of Celiac Disease and Sociodemographic Variables in the United States.

INTRODUCTION: We evaluated the associations between celiac disease (CD) prevalence and regional sociodemographic variables in the United States. METHODS: The outcome was CD relative prevalence, defined as number of patients with CD among those in a Medicare registry per 3-digit ZIP code. Linear regression models assessed associations between relative prevalence of CD and sociodemographic variables. RESULTS: CD relative prevalence was positively correlated with median income, urban area, and proximity to a CD specialty center and negatively correlated with Black race, Latino/Hispanic ethnicity, and median social deprivation index score ( P < 0.01, all). DISCUSSION: CD relative prevalence is associated with indicators of economic advantage.

Race, community disadvantage, and cognitive decline: Findings from KHANDLE and STAR.

INTRODUCTION: Community disadvantage is associated with late-life cognition. Few studies examine its contribution to racial disparities in cognition/cognitive change. METHODS: Inverse probability weighted models estimated expected mean differences in cognition/cognitive change attributed to residing in less advantaged communities, defined as cohort top quintile of Area Deprivation Indices (ADI): childhood 66-100; adulthood ADI 5-99). Interactions by race tested. RESULTS: More Black participants resided in less advantaged communities. Semantic memory would be lower if all participants had resided in less advantaged childhood (b = -0.16, 95% confidence interval [CI] = -0.30, -0.03) or adulthood (b = -0.14, 95% CI = -0.22, -0.04) communities. Race interactions indicated that, among Black participants, less advantaged childhood communities were associated with higher verbal episodic memory (interaction p-value = 0.007) and less advantaged adulthood communities were associated with lower semantic memory (interaction p-value = 0.002). DISCUSSION: Examining racial differences in levels of community advantage and late-life cognitive decline is a critical step toward unpacking community effects on cognitive disparities.

Prevalence of internet addiction and psychological factors in adolescents during the covid-19 pandemic / Prevalência de dependência da internet e fatores psicológicos em adolescentes durante a pandemia de covid-19 / Prevalencia de la adicción a internet y factores psicológicos en adolescentes durante la pandemia de la covid-19

Addictive behaviors related to Internet are becoming more common and this tool has been essential once it enables home office, entertainment, homeschooling, and easy access to information. Despite the easiness brought by technology, the exaggerated use has affected users in different ways, including in the development of psychiatric disorders. This study aimed to assess internet addiction, depression, anxiety, attention-deficit/hyperactivity disorder (ADHD), attention, impulsivity, and stress in 48 adolescents (26 young women and 22 young men), aged from 15 to 18 years, with a mean age of 16.74 (0.61), mostly students of public schools, during COVID-19, to investigate correlations between these variables according to sex and sociodemographic aspects. To assess the factors, the Internet Addiction Test (IAT); the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) Questionnaire ; the Depression, Anxiety, and Stress scale for brazilian adolescents (EDAE-A); the Barratt Impulsiveness Scale (BIS-11); and a sociodemographic questionnaire were applied. The data collection was performed in schools located in southern Brazil. The results indicated that 12 out of 48 adolescents were considered addicted to the Internet. Moreover, Internet addiction was a predictor of depression in regression analysis (p<0.001). In addition, participants classified as more addicted to the Internet scored lower averages in general attention (p<0.035) and higher averages in behavioral symptoms of inattention and ADHD (p<0.050), stress (p<0.003), anxiety (p<0.016), and depression (p<0.015), with effect sizes ranging from moderate to high. Therefore, the intense internet use by adolescents might cause psychological consequences such as depression in adolescents. Family support and professional intervention might help in the reduction of symptoms and consequences of internet addiction as well as in its prevention.(AU)

A dependência de internet é cada vez mais comum, pois essa ferramenta tem se tornado imprescindível, uma vez que possibilita home office, entretenimento, educação domiciliar e fácil acesso às informações. No entanto, o uso exagerado da tecnologia afeta os usuários de diversas formas, inclusive no desenvolvimento de transtornos psiquiátricos. Este estudo visou avaliar a dependência de internet, depressão, ansiedade, hiperatividade, atenção, impulsividade e estresse em 48 adolescentes (26 meninas e 22 meninos) de 15 a 18 anos, com idade média de 16,74 (0,61), estudantes de escolas públicas do Sul do Brasil durante a covid-19, para investigar correlações entre as variáveis anteriores de acordo com gênero e aspectos sociodemográficos. Para avaliar, aplicou-se o Internet Addiction Test (IAT), um teste de atenção, escala SNAP IV, escala de depressão, ansiedade e estresse para adolescentes (EDAE-A), escala de impulsividade de Barratt e um questionário sociodemográfico. Os resultados indicaram que 12 adolescentes foram considerados viciados em internet, e que a dependência desta foi preditora da depressão na análise de regressão (p < 0,001). Ainda, os participantes classificados como adictos tiveram médias mais baixas em atenção geral (p < 0,035) e mais altas em sintomas comportamentais de desatenção e hiperatividade (p < 0,050), estresse (p < 0,003), ansiedade (p < 0,016) e depressão (p < 0,015), com efeitos que variaram de moderado a alto. Portanto, o uso intenso da internet por adolescentes pode ter consequências psicológicas, como a depressão. Bom apoio familiar e intervenção profissional podem ajudar na redução dos sintomas e consequências, bem como na prevenção da dependência.(AU)

La adicción a Internet es cada vez más habitual, puesto que esta herramienta es esencial para el trabajo remoto, el entretenimiento, la educación domiciliar y el fácil acceso a la información. Sin embargo, su uso exagerado afecta a la vida de las personas de diferentes maneras, incluso en el desarrollo de trastornos psiquiátricos. El objetivo de este estudio fue evaluar la adicción a Internet, depresión, ansiedad, hiperactividad, atención, impulsividad y estrés en 48 adolescentes (26 muchachas y 22 muchachos), de entre 15 y 18 años, con una edad promedio de 16,74 (0,61), en su mayoría estudiantes de escuelas públicas del Sur de Brasil, durante la pandemia de la COVID-19, para investigar las correlaciones entre las variables mencionadas según género y aspectos sociodemográficos. Para evaluar los factores, se aplicaron el Test de Adicción a Internet (TAI), un test de atención, la escala SNAP IV, la Escala de Depresión, Ansiedad y Estrés para adolescentes (EDAE-A), la escala de impulsividad de Barratt y un cuestionario sociodemográfico. Los resultados indicaron que 12 adolescentes fueron considerados adictos a Internet, además, la adicción a Internet fue un predictor de la depresión en el análisis de regresión (p<0,001). Igualmente, los participantes clasificados como más adictos a Internet tuvieron promedios más bajos en atención general (p<0,035), y más altos en síntomas conductuales de falta de atención e hiperactividad (p<0,050), estrés (p<0,003), ansiedad (p<0,016) y depresión (p<0,015), con efectos que varían de moderado a alto. Por lo tanto, el uso intenso podría producir consecuencias psicológicas como la depresión en los adolescentes. Tener un buen apoyo familiar e intervención profesional puede ayudar a reducir los síntomas y las consecuencias de la adicción a Internet, así como prevenirla.(AU)

Respective roles of social deprivation, health literacy, and clinical factors for COVID-19: a case-control study in hospitalized patients.

Introduction: To investigate the association between social deprivation and COVID-19 among hospitalized patients in an underprivileged department of the greater Paris area. Methods: Individuals hospitalized for COVID-19 between March 1st and October 31, 2020, were included, matched on age and sex, and compared with patients hospitalized for any other reason with negative RT-PCR for SARS-CoV-2, through a case-control study. Clinical, socio-demographic characteristics, health literacy, and social deprivation, assessed by the EPICES score, were collected. Factors associated with COVID-19 in hospitalized patients were assessed using univariate and multivariate logistic regression models. Results: 69 cases and 180 controls were included. Participants were mostly men (N = 148: 59.4%) aged 65 or older (N = 109: 44.1%). Median EPICES score was 43.2 (IQR 29.4-62.9). EPICES score > 30.17 (precariousness threshold) was not significantly associated with COVID-19 in hospitalized patients (adjusted odds ratio (aOR) = 0.46; 95% Confidence Interval (CI) [0.21-1.01]). Advanced age, higher BMI, professional activity, home area of less than 25 m2 per person, and low health literacy, were significantly associated with COVID-19 in hospitalized patients. Discussion: This study highlights probable risk factors for specific exposition in disadvantaged area: maintenance of professional activity, smaller home area, and low health literacy.

Social deprivation and exclusion in Parkinson's disease: a cross-sectional and longitudinal study.

OBJECTIVE: To describe prevalence and associated factors of social deprivation in people with Parkinson's disease (PwPD). DESIGN: Cross-sectional and longitudinal cohort study. SETTING: Data were taken from the Survey of Health, Ageing and Retirement in Europe (SHARE), a multidisciplinary, cross-national and longitudinal research project. PARTICIPANTS: Community-dwelling adults from waves 5 (2013, n=66 188) and 6 (2015, n=68 186) of the SHARE dataset. After longitudinal analyses, participants in wave 5 can be retrospectively divided into the following three subgroups: PwPD at wave 5 (n=559), people newly reported PD from wave 5 to wave 6 (prodromal PD; n=215) and people without PD (n=46 737). OUTCOME MEASURES: The prevalence and associated factors of social deprivation in PD, its impact on quality of life (QoL) and its onset within the course of PD. RESULTS: PwPD had higher indices for material and social deprivation than non-PD participants, and 20% of PwPD were at risk of social exclusion. Social deprivation alone accounted for 35% and material deprivation for 21% of QoL variance and remained significant predictors of QoL after adjustment for cofactors. Social deprivation and risk of social exclusion were already increased in people with prodromal PD, and accordingly preceded PD diagnosis in wave 6. CONCLUSIONS: For the treatment of PD, we should consider the impact of social deprivation and exclusion on QoL and their association with mental and physical functioning. However, the relevance of social deprivation as a prodromal phenomenon requires further investigation.

Influence of social deprivation on morbidity and all-cause mortality of cardiometabolic multi-morbidity: a cohort analysis of the UK Biobank cohort.

BACKGROUND: The relation of social deprivation with single cardiometabolic disease (CMD) was widely investigated, whereas the association with cardiometabolic multi-morbidity (CMM), defined as experiencing more than two CMDs during the lifetime, is poorly understood. METHODS: We analyzed 345,417 UK Biobank participants without any CMDs at recruitment to study the relation between social deprivation and four CMDs including type II diabetes (T2D), coronary artery disease (CAD), stroke and hypertension. Social deprivation was measured by Townsend deprivation index (TDI), and CMM was defined as occurrence of two or more of the above four diseases. Multivariable Cox models were performed to estimate hazard ratios (HRs) per one standard deviation (SD) change and in quartile (Q1-Q4, with Q1 as reference), as well as 95% confidence intervals (95% CIs). RESULTS: During the follow up, 68,338 participants developed at least one CMD (median follow up of 13.2 years), 16,225 further developed CMM (median follow up of 13.4 years), and 18,876 ultimately died from all causes (median follow up of 13.4 years). Compared to Q1 of TDI (lowest deprivation), the multivariable adjusted HR (95%CIs) of Q4 (highest deprivation) among participants free of any CMDs was 1.23 (1.20 ~ 1.26) for developing one CMD, 1.42 (1.35 ~ 1.48) for developing CMM, and 1.34 (1.27 ~ 1.41) for all-cause mortality. Among participants with one CMD, the adjusted HR (95%CIs) of Q4 was 1.30 (1.27 ~ 1.33) for developing CMM and 1.34 (1.27 ~ 1.41) for all-cause mortality, with HR (95%CIs) = 1.11 (1.06 ~ 1.16) for T2D patients, 1.07 (1.03 ~ 1.11) for CAD patients, 1.07 (1.00 ~ 1.15) for stroke patients, and 1.24 (1.21 ~ 1.28) for hypertension patients. Among participants with CMM, TDI was also related to the risk of all-cause mortality (HR of Q4 = 1.35, 95%CIs 1.28 ~ 1.43). CONCLUSIONS: We revealed that people living with high deprived conditions would suffer from higher hazard of CMD, CMM and all-cause mortality.

Investigating social deprivation and comorbid mental health diagnosis as predictors of treatment access among patients with an opioid use disorder using substance use services: a prospective cohort study.

BACKGROUND: Opioid use is a major public health concern across the globe. Opioid use and subsequent access to care is often shaped by co-occurring issues faced by people using opioids, such as deprivation, mental ill-health, and other forms of substance use. We investigated the role of social deprivation and comorbid mental health diagnoses in predicting re-engagement with substance use services or contact with crisis and inpatient services for individuals with opioid use disorder in secondary mental health care in inner-city London. METHODS: We conducted a prospective cohort study which followed individuals diagnosed with a first episode of opioid use disorder who accessed substance use services between September 2015 and May 2020 for up to 12 months, using anonymised electronic health records. We employed negative binominal regression and Cox proportional survival analyses to assess associations between exposures and outcomes. RESULTS: Comorbid mental health diagnoses were associated with higher contact rates with crisis/inpatient services among people with opioid use disorder: incidence rate ratios (IRR) and 95% confidence intervals (CI) were 3.91 (1.74-9.14) for non-opioid substance use comorbidity, 8.92 (1.81-64.4) for a single comorbid mental health diagnosis, and 15.9 (5.89-47.5) for multiple comorbid mental health diagnoses. Social deprivation was not associated with contact rates with crisis/inpatient services within this sample. Similar patterns were found with time to first crisis/inpatient contact. Social deprivation and comorbid mental health diagnoses were not associated with re-engagement with substance use services. CONCLUSION: Comorbid substance and mental health difficulties amongst people with an opioid use disorder led to earlier and more frequent contact with crisis/inpatient mental health services during the first 12 months of follow up. Given the common co-occurrence of mental health and substance use disorders among those who use opioids, a better understanding of their wider needs (such as social, financial and other non-medical concerns) will ensure they are supported in their treatment journeys.

Impact of gender, ethnicity and social deprivation on access to surgical or transcatheter aortic valve replacement in aortic stenosis: a retrospective database study in England.

OBJECTIVE: To assess gender, ethnicity, and deprivation-based differences in provision of aortic valve replacement (AVR) in England for adults with aortic stenosis (AS). METHODS: We retrospectively identified adults with AS from the English Hospital Episode Statistics (HES) between April 2016 and March 2019 and those who subsequently had an AVR. We separately used HES-linked Clinical Practice Research Datalink (CPRD) to identify people with AVR and evaluate the timeliness of their procedure (CPRD-AVR cohort). ORs for AVR in people with an AS diagnosis were estimated using multivariable logistic regression adjusted for age, region and comorbidity. AVR was considered timely if performed electively and without evidence of cardiac decompensation before AVR. RESULTS: 183 591 adults with AS were identified in HES; of these, 31 436 underwent AVR. The CPRD-AVR cohort comprised 10 069 adults. Women had lower odds of receiving AVR compared with men (OR 0.65; 95% CI 0.63 to 0.66); as did people of black (OR 0.70; 95% CI 0.60 to 0.82) or South Asian (OR 0.75; 95% CI 0.69 to 0.82) compared with people of white ethnicities. People in the most deprived areas were less likely to receive AVR than the least deprived areas (OR 0.8; 95% CI 0.75 to 0.86). Timely AVR occurred in 65% of those of white ethnicities compared with 55% of both those of black and South Asian ethnicities. 77% of the least deprived had a timely procedure compared with 58% of the most deprived; there was no gender difference. CONCLUSIONS: In this large, national dataset, female gender, black or South Asian ethnicities and high deprivation were associated with significantly reduced odds of receiving AVR in England. A lower proportion of people of minority ethnicities or high deprivation had a timely procedure. Public health initiatives may be required to increase clinician and public awareness of unconscious biases towards minority and vulnerable populations to ensure timely AVR for everyone.

Social Deprivation and Population Density Trajectories Before and After Psychotic Disorder Diagnosis.

Importance: People with psychosis are more likely to be born and live in densely populated and socioeconomically deprived environments, but it is unclear whether these associations are a cause or consequence of disorder. Objective: To investigate whether trajectories of exposure to deprivation and population density before and after diagnosis are associated with psychotic disorders or nonpsychotic bipolar disorder. Design, Setting, and Participants: This nested case-control study included all individuals born in Sweden between January 1, 1982, and December 31, 2001, diagnosed for the first time with an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) psychotic disorder or nonpsychotic bipolar disorder between their 15th birthday and cohort exit (December 31, 2016). One sex- and birth year-matched control participant per case was selected. Data analysis was performed from July 2021 to June 2023. Exposures: The main exposures were quintiles of neighborhood-level deprivation and population density each year from birth to age 14 years and from first diagnosis until cohort exit. Main Outcomes and Measures: The main outcomes were the odds of a serious mental illness outcome associated with trajectories of deprivation and population density, before and after diagnosis in cases. Group-based trajectory modeling was used to derive trajectories of each exposure in each period. Logistic regression was used to examine associations with outcomes. Results: A total of 53 458 individuals (median [IQR] age at diagnosis in case patients, 23.2 [15.0-34.8] years; 30 746 [57.5%] female), including 26 729 case patients and 26 729 control participants, were studied. From birth to early adolescence, gradients were observed in exposure to deprivation and population density trajectories during upbringing and psychotic disorder, with those in the most vs least deprived (adjusted odds ratio [AOR], 1.17; 95% CI, 1.08-1.28) and most vs least densely populated (AOR, 1.49; 95% CI, 1.34-1.66) trajectories at greatest risk. A strong upward mobility trajectory to less deprived neighborhoods was associated with similar risk to living in the least deprived trajectory (AOR, 1.01; 95% CI, 0.91-1.12). Only 543 case patients (2.0%) drifted into more deprived areas after diagnosis; people with psychotic disorder were more likely to belong to this trajectory (AOR, 1.38; 95% CI, 1.16-1.65) or remain in the most deprived trajectory (AOR, 1.36; 95% CI, 1.24-1.48) relative to controls. Patterns were similar for nonpsychotic bipolar disorder and deprivation but weaker for population density. Conclusions and Relevance: In this case-control study, greater exposure to deprivation during upbringing was associated with increased risk of serious mental illness, but upward mobility mitigated this association. People with serious mental illness disproportionately remained living in more deprived areas after diagnosis, highlighting issues of social immobility. Prevention and treatment should be proportionately located in deprived areas according to need.

The Relationship between Diet and the Occurrence of Depressive Symptoms in a Community Example with High Rates of Social Deprivation: A Cross-Sectional Study.

Research suggests that various biological and psychosocial mechanisms are involved in the heterogeneous and complex relationship between dietary patterns and depressive symptoms. The occurrence of depressive symptoms is thought to be related to socioeconomic status (SES), with those with lower SES being more likely to experience persistent depression. The aim of the undertaken study was to investigate whether socioeconomic and health variables are associated with dietary assessment in a population with high rates of social deprivation and whether a relationship exists between dietary assessment and depressive symptoms (DS). The respondents' nutrition was evaluated through a qualitative method, using the Perinumeric Periodic Table questionnaire by Starzynska. At the same time, the prevalence of DS was assessed employing the Patient Health Questionnaire-9 (PHQ-9). In the DS screening (PHQ-9 ≥ 10), in the entire study population, the risk of DS was 16.1% (n = 605). In our entire study population, up to 61.2% (n = 2297) of the respondents exhibited poor dietary patterns. In the multivariate model, women with almost adequate or poor dietary assessment were 1.62 and 2.18 times more likely to score at least 10 on the PHQ-9 questionnaire, as compared to women whose dietary assessment was good or adequate. In conclusion, it was determined that sociodemographic variables affect nutritional habits. Women who lived in rural areas limited to a vocational education had significantly poorer diets. Moreover, men, younger men, smokers, and those without chronic diseases were characterized by a poorer dietary assessment. Additionally, women who had a better dietary assessment were significantly more likely to have lower scores on the questionnaire assessing the occurrence of DS (PHQ-9 10).