Area-based Socioeconomic Status Research Articles

Neighborhood socioeconomic status and postpartum depression among commercial health insurance enrollees: a retrospective cohort study

BackgroundPostpartum depression (PPD) is a prevalent psychological condition. Although the effect of obstetrical and maternal complications on PPD are well described, the impact of neighborhood socioeconomic status (SES) on PPD is relatively unexplored.ObjectivesThis study examined the relationship between neighborhood SES score and PPD.MethodsA summary SES measure for each U.S. zip code was constructed using income, education, and occupational 2021 Census data and linked to national commercial claims for 2017–2023. PPD status using diagnosis codes at outpatient and inpatient visits, and prescription drug use 3, 6, 9, and 12 months postpartum, were determined. Multivariate analysis controlled for potential confounders.ResultsPPD prevalence in commercial claims was 11.48%. Patients with PPD had higher rates of obstetrical (OR: 1.555, p < .0001) and maternal complications (OR: 1.145, p < .0001), and more lifestyle risk factors (OR: 1.113, p < .0001). Comorbidity scores were higher for patients with PPD. Controlling for age and clinical factors, living in a disadvantaged neighborhood was associated with an increased incidence of PPD (OR: 1.137, p < .0001).LimitationsClaims data may include potential inaccurate coding of diagnoses/procedures. Clinical information is limited to conditions and treatments defined by ICD-10-CM codes. Area-based SES measures inevitably misclassify people on both ends of the socioeconomic spectrum (this misclassification is random; direction of bias is known).ConclusionsThe inverse and significant effect of area-based high SES on PPD rates demonstrates that preventive efforts may require interventions focusing on both the patient and the lived environment.

Head and neck cancer incidence is rising but the sociodemographic profile is unchanging: a population epidemiological study (2001–2020)

BackgroundIncreasing incidence of head and neck cancers (HNCs), driven by rising rates of oropharynx cancer (OPC), has been recorded around the world. This study examined trends in HNC and subsites (oral cavity, oropharynx, and larynx cancers) in Scotland focusing on assessing whether the sociodemographic profile has changed over the past 20 years.MethodsScottish Cancer Registry data (2001–2020) including European Age Standardised Rates of HNC and subsites were analysed in multivariate Poisson regression by age, sex, area-based socioeconomic status, and year of diagnosis (with interaction tests).ResultsOverall HNC and oral cavity cancer (OCC) incidence remained relatively stable. OPC incidence rates increased by 78%, while larynx cancer incidence declined by 27%. Over time, there were marginal shifts to a slightly older age profile for HNC (p = 0.001) and OCC (p = 0.001), but no changes in OPC (p = 0.86) and larynx cancer (p = 0.29). No shift in the sex profile of HNC was observed except for minor increases in female OCC rates (p = 0.001), and the socioeconomic distribution remained unchanged across all HNC subsites.ConclusionsThere have been no significant changes in the sociodemographic profile of HNC in Scotland over the last 20 years, despite the changing trends in HNCs with dramatically increasing incidence rates in OPC and reducing larynx cancer. This information can be used to target or stratify HNC prevention and control.

Long-Term Implications of Socioeconomic Status on Major Adverse Cardiovascular, Cerebrovascular Events (MACCE), and All-Cause Mortality

Socio-economic status (SES) has a large impact on health through a complex interplay of upstream, midstream and downstream factors. However, little is known about the predictive role of SES on long-term major adverse cardiovascular, cerebrovascular events, and mortality (MACCE). To determine the long-term relationship between SES and MACCE for men and women. The secondary endpoint was to determine the relationship between SES and all-cause mortality. A total of 3,034 participants (1,494 women and 1,540 men) were assessed at baseline in the Geelong Osteoporosis Study, a large regional Australian population cohort study. Area-based SES was assessed, utilising the Index of Relative Socio-Economic Disadvantage (IRSD) and grouped into quintiles. The primary endpoint, MACCE, was defined as a composite of myocardial infarction, heart failure hospitalisation, malignant arrhythmias, stroke, and all-cause mortality. The secondary endpoint was all-cause mortality. Baseline data including age, sex, smoking status and alcohol use, and comorbidities were collected between 1993-1997 for women, and 2001-2006 for men, with follow-up over 30 and 22 years, respectively. Logistic regression was utilised to assess MACCE and all-cause mortality outcomes across the SES quintiles. Participants lost to follow-up or with incomplete data collection were excluded leaving 2,173 participants eligible for analysis. SES was associated with MACCE outcomes. Compared with Quintile I (lowest SES stratum), the odds of MACCE for each IRSD stratum were: Quintile II, odds ratio (OR) 0.85 (95% confidence interval [CI] 0.65-1.13); Quintile III, OR 0.69 (95% CI 0.51-0.91); Quintile IV, OR 0.66 (95% CI 0.50-0.88); and, Quintile V, OR 0.55 (95% CI 0.41-0.72). In the adjusted model, an inverse trend was noted, with reducing MACCE outcomes with an increasing SES status; IRSD Quintile II, OR 0.85 (95% CI 0.62-1.17); Quintile III, OR 0.70 (95% CI 0.50-0.97); Quintile IV, OR 0.73 (95% CI 0.52-1.02); and, Quintile V, OR 0.54 (95% CI 0.39-0.74). SES was inversely associated with all-cause mortality; IRSD Quintile II (OR 0.87, 95% CI 0.66-1.16) failed to achieve significance however IRSD Quintile III (OR 0.65, 95% CI 0.48-0.88), Quintile IV (OR 0.59, 95% CI 0.44-0.80) and Quintile V (OR 0.46, 95% CI 0.34-0.62) had a lower risk of mortality compared with Quintile I. In the adjusted model, an inversely proportional trend was noted between SES and all-cause mortality; IRSD Quintile II (OR 0.82, 95% CI 0.59-1.15), IRSD Quintile III (OR 0.63, 95% CI 0.49-0.95), Quintile IV (OR 0.59, 95% CI 0.45-0.90) and Quintile V (OR 0.44, 95% CI 0.31-0.61) had fewer mortality events compared with IRSD Quintile I. Our research indicates that being part of a lower socio-economic stratum is linked to a higher likelihood of experiencing negative cardiovascular and cerebrovascular events, along with an increased risk of overall mortality. SES is an important risk stratification marker for long-term prognosis of cardiovascular diseases and stroke, and warrants further investigation.

Abstract 4826: Cancer mortality attributable to area-level socioeconomic inequalities in Japan from 2015 to 2020

Abstract Background: In the 3rd Healthy Japan 21 and the 4th National Cancer Plan, the government focused on reducing health inequalities. However, current monitoring of socioeconomic inequalities in cancer is still insufficient to set the targets for the plan. To prioritize strategy aimed at reducing socioeconomic inequalities in cancer mortality, we estimated the population attributable risk fraction (PAF) and excess death due to socioeconomic inequalities, by sex, age group and cancer site. Method: We used the areal deprivation index (ADI) to establish area-based socioeconomic status. We categorized municipalities to ADI quintile weighted by the size of population, Q1 is the least deprived and Q5 the most deprived group. Excess death due to socioeconomic inequalities was calculated by the difference between observed number of deaths and expected death of Q2 to Q5 group with Q1 as standard population. We used cancer mortality data obtained from vital statistics in 2015-2020. Results: In total, about 12000 male and 2800 female excess deaths per year due to socioeconomic inequalities were estimated; that is 5.5% and 1.8% as PAF. PAF due to socioeconomic inequalities limited to premature death, less than 75 years old, was estimated as 7.6% in men and 3.3% in women. By age group, the 0-39 years group showed the largest PAF at 15.7% in men and 16.6% in women. In men of all age groups, except 0-39 years, lung cancer was the highest excess death due to socioeconomic inequalities. For women, some cancer sites (breast, ovary, esophagus) showed an opposite association, Q1 was the highest mortality group. Therefore, total excess death was lower than in men. In women of all ages, the highest rate of excess death due to socioeconomic inequalities was gallbladder cancer. For the 0-39 years group, a high rate of excess death in stomach, leukemia, and cervical cancer was observed. Discussion: Excess death and PAF due to socioeconomic inequalities differed by sex and age group. A greater impact of socioeconomic inequality on cancer mortality was observed in men than in women. Among women, further attention should be paid to areal variation of cancer death related to socioeconomic inequalities, based on the different area-based indices. Citation Format: Yuri Ito, Tomoki Nakaya, Manami Inoue, Tomotaka Sobue, Hitoshi Nakagama. Cancer mortality attributable to area-level socioeconomic inequalities in Japan from 2015 to 2020 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4826.

Social determinants of health and cognitive function: A cross-sectional study among men without dementia.

Certain age-related and medical factors have been associated with cognitive dysfunction; however, less is known regarding social determinants of health. The current study aimed to investigate associations between social determinants of health and cognitive function in a population-based sample of men without dementia. Data were drawn from the ongoing Geelong Osteoporosis Study (n=536). Cognitive function was determined using the Cog-State Brief Battery. Area-based socioeconomic status (SES) was determined using the Index of Relative Socioeconomic Advantage and Disadvantage, marital status by self-report, and social support by the Multidimensional Scale of Perceived Social Support, which considers family, friends, and significant others. Belonging to a higher SES group, being in a relationship (married/de-facto) and perceived social support from a significant other and friends were each associated with better overall cognitive function. In regard to the specific cognitive domains, higher SES was associated with better psychomotor function and visual learning, being in a relationship was associated with better working memory, and perceived social support from a significant other was associated with better attention and working memory, with perceived social support from friends associated with better psychomotor function. There were no associations detected between social support from family and any of the cognitive domains. Higher SES, being in a relationship, and greater perceived social support from a significant other and friends were associated with better cognitive function. Further studies identifying underlying mechanisms linking social factors with cognition are needed to establish prevention strategies and enhance cognitive health.

P23-081-23 Assessing the Effect of Area-based Socioeconomic Status on Hypertension in Patients With Diabetes Mellitus

P23-081-23 Assessing the Effect of Area-based Socioeconomic Status on Hypertension in Patients With Diabetes Mellitus

Skin cancer-related conditions managed in general practice in Australia, 2000–2016: a nationally representative, cross-sectional survey

ObjectiveSkin cancer is Australia’s most common and costly cancer. We examined the frequency of Australian general practice consultations for skin cancer-related conditions, by patient and general practitioner (GP) characteristics and...

Abstract MP18: Associations of Individual and Area-Based Socioeconomic Status With Cardiovascular Outcomes and Mortality: A Prospective Cohort Study

Introduction: Evidence is limited regarding the interactions between individual socioeconomic status (SES) and neighborhood deprivation on long-term health outcomes. We aimed to evaluate the joint impacts of individual- and area-based SES on risks of disease-specific incidence and mortality. Hypothesis: We hypothesized that neighborhood deprivation would be related to disproportionate harm on health outcomes in those of lower individual SES. Methods: Data were sourced from UK Biobank. We assessed individual SES by self-reported education attainment (college or university degree/others) and measured area-based SES by the Townsend deprivation index (in quintiles: Q1 was the least deprived and Q5 was the most deprived). Poisson regression was used to examine the associations of individual- and area-based SES with incident CVD and heart failure (HF), and mortality from all, CVD, and cancer causes. Results: During a mean follow-up of 11.9-12.3 years, we documented 24,936 incident CVD cases, 10,887 HF cases, and 36,584 deaths. Individual- and area-based SES were each significantly associated with higher risks of incident cardiovascular events and mortality. Compared with those with college/university degrees, the multivariable-adjusted relative risks (95% CIs) for less-educated participants were 1.18 (1.14, 1.21) for CVD, 1.24 (1.19, 1.30) for HF, 1.14 (1.12, 1.17) for all-cause mortality, 1.11 (1.05, 1.17) for CVD mortality, and 1.09 (1.06, 1.13) for cancer mortality. Being in the Q5 group (vs. Q1) was associated with 19-48% higher risks of health outcomes. A significant interaction between education attainment and neighborhood deprivation was found for incident CVD and HF, all-cause and cancer mortality, but not for CVD mortality (Fig1). The associations between higher deprivation and increased risks of CVD events and mortality were more prominent in less-educated subgroups. Conclusions: The detrimental impacts of neighborhood deprivation on health outcomes might be exacerbated by low education attainment.

Household income is associated with functional outcomes in a multi-institutional cohort of patients with ischemic stroke and COVID-19

ObjectivesThe COVID-19 pandemic has heightened awareness of health disparities associated with socioeconomic status (SES) across the United States. We examined whether household income is associated with functional outcomes after stroke and COVID-19. Materials and methodsThis was a multi-institutional, retrospective cohort study of consecutively hospitalized patients with SARS-CoV-2 and radiographically confirmed stroke presenting from March through November 2020 to any of five comprehensive stroke centers in metropolitan Chicago, Illinois, USA. Zip-code-derived household income was dichotomized at the Chicago median. Logistic regression was used to examine the relationship between household income and good functional outcome (modified Rankin Scale 0-3 at discharge, after ischemic stroke). ResultsAcross five hospitals, 159 patients were included. Black patients comprised 48.1%, White patients 38.6%, and Hispanic patients 27.7%. Median household income was $46,938 [IQR: $32,460-63,219]. Ischemic stroke occurred in 115 (72.3%) patients (median NIHSS 7, IQR: 0.5-18.5) and hemorrhagic stroke in 37 (23.7%). When controlling for age, sex, severe COVID-19, and NIHSS, patients with ischemic stroke and household income above the Chicago median were more likely to have a good functional outcome at discharge (OR 7.53, 95% CI 1.61 - 45.73; P=0.016). Race/ethnicity were not included in final adjusted models given collinearity with income. ConclusionsIn this multi-institutional study of hospitalized patients with stroke, those residing in higher SES zip codes were more likely to have better functional outcomes, despite controlling for stroke severity and COVID-19 severity. This suggests that area-based SES factors may play a role in outcomes from stroke and COVID-19.

Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status.

Cutaneous T-cell lymphoma (CTCL) is a rare type of extranodal non-Hodgkin lymphoma (NHL). This study uses population-based data from the New Jersey (NJ) State Cancer Registry to examine geographic variation in CTCL incidence and evaluates whether CTCL risk varies by race/ethnicity and census tract socioeconomic status (SES). The study included 1163 cases diagnosed in NJ between 2006 and 2014. Geographic variation and possible clustering of high CTCL rates were assessed using Bayesian geo-additive models. The associations between CTCL risk and race/ethnicity and census tract SES, measured as median household income, were examined using Poisson regression. CTCL incidence varied across NJ, but there were no statistically significant geographic clusters. After adjustment for age, sex, and race/ethnicity, the relative risk (RR) of CTCL was significantly higher (RR = 1.47, 95% confidence interval: 1.22-1.78) in the highest income quartile than in the lowest. The interactions between race/ethnicity and SES indicated that the income gradients by RR were evident in all groups. Compared to non-Hispanic White individuals in low-income tracts, CTCL risk was higher among non-Hispanic White individuals in high-income tracts and among non-Hispanic Black individuals in tracts of all income levels. Our findings suggest racial disparities and a strong socioeconomic gradient with higher CTCL risk among cases living in census tracts with higher income compared to those living in lower-income tracts.

Factors associated with follow-up care after pediatric concussion: A longitudinal population-based study in Alberta, Canada.

Concussion is a common injury in children and adolescents. Current best practice guidelines indicate that recovery should be supervised through recurrent follow-up visits. A more detailed understanding of the system-level and individual factors that are associated with follow-up care is a critical step towards increasing evidence-based practice. The objective of this study was to identify predisposing, enabling, and need-based factors associated with follow-up care after pediatric concussion. A retrospective population-based cohort study was conducted using linked, province-wide administrative health data for all patients <18 years of age with a diagnosis of concussion, other specified injuries of the head, unspecified injury of head, or post-concussion syndrome (PCS) between April 1, 2004 and March 31, 2018 in Alberta, Canada. The association between predisposing, enabling, and need-based factors and the receipt of follow-up care within a defined episode of care (EOC) was analyzed using logistic regression models for the entire cohort and for EOC that began with a concussion diagnosis. Predisposing factors included age and sex. Enabling factors included the community type of patient residence, area-based socioeconomic status (SES), and visit year. Need-based factors included where the EOC began (outpatient vs. emergency settings) and history of previous concussion-related EOC. 194,081 EOCs occurred during the study period but only 13% involved follow-up care (n = 25,461). Males and adolescents were more likely to receive follow-up care. Follow-up was less likely among patients who lived in remote communities or in areas of lower SES, while EOCs beginning in 2011 or later were more likely to involve follow-up care. Patients whose EOC began in outpatient settings, had more than one EOC, or a diagnosis of concussion were more likely to receive follow-up care. Follow-up care for pediatric concussion has increased over time and is associated with patient age and sex, history of concussion-related EOC, where a patient lives (community type and area-based SES), and when and where the index visit occurs. A better understanding of which children are more likely to receive follow-up care, as well as how and when they do, is an important step in aligning practice with follow-up guidelines.

Area-Level Socioeconomic Inequalities in Intracranial Injury-Related Hospitalization in Korea: A Retrospective Analysis of Data From Korea National Hospital Discharge Survey 2008-2015.

Although inequality in traumatic brain injury (TBI) by individual socioeconomic status (SES) exists, interventions to modify individual SES are difficult. However, as interventions for area-based SES can affect the individual SES, monitoring or public health intervention can be planned. We analyzed the effect of area-based SES on hospitalization for TBI and revealed yearly inequality trends to provide a basis for health intervention. We included patients who were hospitalized due to intracranial injuries (ICIs) between 2008 and 2015 as a measure of severe TBI with data provided by the Korea National Hospital Discharge Survey. Area-based SES was synthesized using the 2010 census data. We assessed inequalities in ICI-related hospitalization rates using the relative index of inequality and the slope index of inequality for the periods 2008-2009, 2010-2011, 2012-2013, and 2014-2015. We analyzed the trends of these indices for the observation period by age and sex. The overall relative indices of inequality for each 2-year period were 1.82 (95% confidence interval, 1.5-2.3), 1.97 (1.6-2.5), 2.01 (1.6-2.5), and 2.01 (1.6-2.5), respectively. The overall slope indices of inequality in each period were 38.74 (23.5-54.0), 36.75 (21.7-51.8), 35.65 (20.7-50.6), and 43.11 (27.6-58.6), respectively. The relative indices of inequality showed a linear trend for men (P = 0.006), which was most evident in the ≥ 65-year age group. Inequality in hospitalization for ICIs by area-based SES tended to increase during the observation period. Practical preventive interventions and input in healthcare resources for populations with low area-based SES are likely needed.

An assessment of the spatial distribution of bulk billing-only GP services in Australia in relation to area-based socio-economic status.

The accessibility to affordable primary healthcare services contributes to population health and health equity. A key aspect to accessibility is the geographical distribution of primary healthcare services. Limited studies have assessed the nationwide spatial distribution of bulk billing-only medical practices or 'no-fee' services. The aim of this study was to provide a nationwide approximation of bulk billing-only services and evaluate the socio-demographic status and population characteristics in relation to the distribution of bulk billing-only GP services. The methodology in this study used Geographic Information System (GIS) technology to map the locations of all bulk bulking-only medical practices collected in mid-2020 and linked this with population data. The population data and practice locations were analysed at the level of Statistical Areas Level 2 (SA2) regions and used the most recent Census data. The study sample included (n =2095) bulk billing-only medical practice locations. The nationwide average Population-to-Practice (PtP) ratio was 1 practice to 8529 people for regions with access to bulk billing-only practice, and 57.4% of the Australian population lives within an SA2 that has access to at least one bulk billing-only medical practices. No significant associations were identified between practice distribution and area socio-economic status. The study identified areas with low access to affordable GP services, with many SA2 regions having no access to bulk billing-only practices. Findings also indicate that there was no association between area socio-economic status and the distribution of bulk billing-only services.

Association of Area-Based Socioeconomic Measures with Tuberculosis Incidence in California

We assessed the association of area-based socio-economic status (SES) measures with tuberculosis (TB) incidence in California. We used TB disease data for 2012–2016 (n = 9901), population estimates, and SES measures to calculate incidence rates, rate ratios, and 95% confidence intervals (95% CI) by SES and birth country. SES was measured by census tract and was categorized by quartiles for education, crowding, and the California Healthy Places Index (HPI)and by specific cutoffs for poverty. The lowest SES areas defined by education, crowding, poverty, and HPI had 39%, 40%, 41%, and 33% of TB cases respectively. SES level was inversely associated with TB incidence across all SES measures and birth countries. TB rates were 3.2 (95% CI 3.0–3.4), 2.1 (95% CI 1.9–2.2), 3.6 (95% CI 3.3–3.8), and 2.0 (95% CI 1.9–2.1) times higher in lowest SES areas vs. highest SES areas as defined by education, crowding, poverty and HPI respectively. Area-based SES measures are associated with TB incidence in California. This information could inform TB prevention efforts in terms of materials, partnerships, and prioritization.

Longitudinal trends in incidence and health care use for pediatric concussion in Alberta, Canada

BackgroundWe described longitudinal trends in the incidence of episodes of care (EOC) and follow-up care for pediatric concussion in relation to age, sex, rurality of patient residence, point of care, and area-based socioeconomic status (SES) in Alberta, Canada.MethodsA retrospective population-based cohort study was conducted using linked, province-wide administrative health data for all patients <18 years of age who received a diagnosis of concussion, other specified injuries of head, unspecified injury of head, or post-concussion syndrome between April 1, 2004 and March 31, 2018. Data were geospatially mapped.ResultsConcussion EOCs increased 2.2-fold over the study period, follow-up visits 5.1-fold. Care was increasingly received in physician office (PO) settings. Concussion diagnoses in rural and remote areas occurred in emergency department (ED) settings more often than in metro centres or urban areas (76%/75% vs. 52%/60%). Proportion of concussion diagnoses was positively related to SES and age. Diagnosis and point of care varied geographically.ConclusionsThe shift in care to PO settings, increased incidence of all diagnoses, and the higher use of the ED by some segments of the population all have important implications for appropriate clinical management and the efficient provision of health care for pediatric concussion.ImpactThis is the first study to use EOC to describe longitudinal trends in incidence and follow-up care for pediatric concussion in relation to age, sex, rurality, point of care, and area-based SES.We report increased incidence of concussion in both emergency and outpatient settings and the proportion of diagnoses was positively related to SES and age.Patients increasingly received care for concussion in PO over time.Geospatial mapping indicated that the incidence of concussion and unspecified injury of head varied geographically and temporally.Results have important implications for appropriate clinical management and efficient provision of health care following pediatric concussion.

Pandemic effects on health condition specific healthcare encounters in British Columbia, Canada.

ObjectiveWhile overall health service use declined following the start of the pandemic, the aim of this analysis is to generate insights to inform public health priorities by identifying higher-than-expected patterns of health care service use for some health condition and population groups.&#x0D; ApproachHealth care encounters for hospital, emergency department, and primary care encounters between 2011 and 2021 were categorized into condition groups according to the CIHI Population Grouping Methodology (British Columbia version). Actual health condition encounters were compared with ARIMA-based encounter forecasts to identify conditions with different-from-expected encounter rates in 2020 and 2021. For each of 225 CIHI-defined health conditions, we identified health conditions for which service use was higher-than-expected. Area-based socioeconomic status and virtual care visit data are examined to further explore conditions that continue to differ from their pre-pandemic encounter patterns.&#x0D; ResultsThis analysis demonstrates that some health condition groups have seen dramatic increases in service use. The three most impacted groups with higher-than-expected encounters are hypercholesterolaemia/high cholesterol [47.8% increase in average monthly encounters since 2019], emotional and behavioural disorder (w/onset generally in childhood) [+37.3%] and neurotic/anxiety/obsessive compulsive disorder [+28.0%]. Since the start of the pandemic in British Columbia, the health condition groups with both the highest volumes of services and higher than expected service use included: hypercholesterolemia &amp; hypothyroidism, mental health conditions (eating disorder, depression, and others), hypertension and heart failure, and diabetes. Additional descriptive analysis explores potential inequities in encounters by socio-economic status and how virtual care has changed service patterns.&#x0D; ConclusionIncreased service use may reflect greater need, better access to virtual care or potential changes in diagnoses. Identifying patterns of higher-than-expected use can support program planning to address growing need in certain regions or populations. Additional exploration will be undertaken to examine lower-than-expected service use as potential unmet need.

Frailty associations with socioeconomic status, healthcare utilisation and quality of life among older women residing in regional Australia.

Objectives:The health and well-being of older women may be influenced by frailty and low socioeconomic status (SES). This study examined the association between frailty and SES, healthcare utilisation and quality of life (QOL) among older women in regional Australia.Methods:Cross-sectional analysis of the Geelong Osteoporosis Study was conducted on 360 women (ages ≥60yr) in the 15-year follow up. Frailty was identified using modified Fried’s phenotype. Individual SES measures and healthcare utilisation were documented by questionnaire. Area-based SES was determined by cross-referencing residential addresses with the Australian Bureau of Statistics Index of Relative Socio-economic Advantage and Disadvantage (IRSAD). QOL was measured using the Australian World Health Organisation Quality of Life Instrument (WHOQoL-Bref). Multinomial logistic regression was conducted with frailty groupings as outcome.Results:Sixty-two (17.2%) participants were frail, 199 (55.3%) pre-frail and 99 (27.5%) robust. Frail participants were older with higher body mass index. Frailty was associated with lower education but not marital status, occupation or IRSAD. Strong associations with frailty were demonstrated for all WHOQoL-Bref domains. Frailty was associated with more primary care doctor visits (p<0.001).Conclusions:This population-based study highlights the significant impact of frailty on older women, indicating reduced QOL and increased primary care doctor visits.

Social Determinants of Health-Related Quality of Life Outcomes for Head and Neck Cancer Patients

The influence of area-based and individual indicators of socioeconomic status (SES) on health-related quality of life (HRQOL) and patient concerns following head and neck cancer is complex and under-reported. The aim of this study is to use baseline data collected as part of a randomised controlled trial to provide greater detail on the attribution of SES to University of Washington Quality of Life version 4 (UWQOL v4), Distress Thermometer and European Quality of Life Five-Dimension Five-Level (EQ-5D-5L) outcomes. A total of 288 trial patients attended baseline clinics a median (Interquartile (IQR)) of 103 (71–162) days after the end of treatment. Area-based SES was assessed using the Index of Multiple Deprivation (IMD) 2019. Thirty-eight per cent (110/288) of patients lived in the most deprived IMD rank quintile. Less than good overall quality of life (31% overall) was associated with current working situation (p = 0.008), receipt of financial benefits (p &lt; 0.001), total household income (p = 0.003) and use of tobacco (p = 0.001). Income and employment were significant patient level indicators predictors of HRQOL outcomes after case-mix adjustment. The number of Patient Concerns Inventory items selected varied significantly by overall clinical tumour clinical stage (p &lt; 0.001) and by treatment (p &lt; 0.001) but not by area IMD or patient-level deprivation indicators. In conclusion, interventions to improve employment and finance could make a substantial positive effect on HRQOL outcomes and concerns.

Ambient air pollution and risk of SARS-CoV-2 infection and of COVID-19 disease in a cohort study in Catalonia (COVICAT Cohort)

BACKGROUND AND AIM: Air pollution has been associated with a higher risk of COVID-19 in ecological studies. We examined the association of pre-pandemic air pollution with SARS-CoV-2 infection, immunological response, and COVID-19 disease in a general population cohort. METHODS: 9,605 adult participants from a general population cohort in Catalonia were contacted post-lockdown in June-November 2020 and administered web- or telephone-based questionnaires. We drew blood samples from 4090 participants, and determined IgG, IgM, and IgA antibodies for five viral target antigens (Luminex assay). We defined disease as previous diagnoses or hospital admission with COVID-19, or reporting 4 or more COVID-19 symptoms. We used the ELAPSE model to assess annual pre-pandemic (2010) exposure to particulate matter (PM2.5), NO2, Black Carbon (BC), and O3. We calculated log-binomial Relative Risks (RR) adjusting for age, sex, type of questionnaire, individual and area-based socioeconomic status, and lifestyle factors. RESULTS:Of the 9,605 participants 481 (5.0%) had COVID-19 disease. Among those tested for SARS-Cov-2 antibodies, 743 (18.1%) had been infected. There were no associations between air pollutants and SARS-CoV-2 infection: increases in average annual levels of 5μg/m3 of NO2 and PM2.5 and 1μg/m3 of BC were associated with RRs (95%CI) of 1.02 (0.98-1.06), 1.07 (0.85-1.35) and 1.08 (0.92-1.29) respectively. Among infected participants, increasing air pollutant levels were associated with higher IgG responses. Air-pollutants were associated in the overall population with increased risk of COVID-19 disease with RRs of 1.07 (95%CI 1.02-1.11) for NO2, 1.45 (1.07-1.97) for PM2.5, and 1.28 (1.02-1.59 for BC. O3 was associated with a slightly decreased risk (RR=0.98, 0.97-1.00). We observed similar results among those infected. We observed slightly higher risks of COVID-19 disease associated with air-pollutants in obese participants and those with lower socioeconomic position. CONCLUSIONS:Exposure to pre-pandemic air-pollutants was associated with a higher risk of COVID-19 disease although not associated with a higher risk of SARS-CoV-2 infection. KEYWORDS: COVID-19, SARS-CoV-2, immunology, air-pollution, cohort

Real-World Testing and Treatment Patterns in Chronic Lymphocytic Leukemia (CLL) in the United States during the Modern Era: A SEER Patterns of Care Analysis

Introduction: The use of fluorescence in situ hybridization (FISH) and IgVH mutation analyses were initially used to help prognosticate CLL patients in clinical trials. In the modern era of Bruton tyrosine kinase inhibitors and improved response rates in patients with deletion 17p, and demonstrated long-term remissions among mutated IgVH patients treated with fludarabine, cyclophosphamide and rituximab (FCR), the use of testing prior to treatment is now considered standard of care to determine appropriate therapy. Several therapies were FDA approved for CLL since 2008 through 2014, including bendamustine and novel therapeutics (obinutuzumab, ibrutinib, and idelalisib). We aimed to look at patterns of real-world testing frequencies and treatment patterns by comparing two United States population based samples of untreated and treated CLL patients in 2008 and 2014.Methods: The National Cancer Institute sponsored Patterns of Care (POC) study was conducted in a population of CLL patients, randomly sampled from 13 Surveillance, Epidemiology, and End Results (SEER) program registries, diagnosed in 2008 and again in 2014. Trained abstractors collected data on demographics, diagnostics, testing, and treatments from patient medical records within 24 months post-diagnosis (along with a physician verification survey). Patient characteristics were described by age, sex, race, Charlson comorbidity index, area-based socioeconomic status, insurance status, receipt of systemic therapy, and type of treatments by diagnosis year. Patient characteristics and frequency of testing (FISH and IgVH mutation analyses) in 2008 and 2014 were compared using Rao-Scott chi-square tests. Logistic regression taking into account sampling weights was used to estimate odd ratios and 95% confidence intervals for receipt of FISH testing, both unadjusted and adjusted for age, sex, race, insurance status, and receipt of systemic treatment. Adjusted models were run overall and stratified by age at diagnosis (<65 and ≥65).Results: This study included 1,008 CLL patients diagnosed in 2008 and 1,367 CLL patients diagnosed in 2014. The mean age was 69.6 years in 2008, and 68.0 years in 2014. Among those with a known status for FISH testing, the proportion of patients who underwent testing was 51.3% in 2008, which increased to 59.6% in 2014 (p<0.01). Among those with a known status for IgVH mutation analyses, 8.5% underwent testing in 2008, which increased to 15.1% in 2014 (p<0.01). Older age was a strong predictor for not receiving FISH testing in both 2008 and 2014 (adjusted p-trend <0.01 for both years). In 2014, Hispanic patients were less likely to undergo testing (aOR 0.68, 95% CI: 0.48-0.96) compared to non-Hispanic whites, but no significant difference was found among non-Hispanic blacks. Among patients 65 or older, those with Medicare without private insurance were less likely to receive testing compared to Medicare patients with private insurance (aOR 0.49, CI: 0.32-0.74).Most CLL patients were untreated within the first two years from diagnosis (74.3% in 2008, and 70.6% in 2014). FISH testing occurred in a majority but not all patients who received therapy (64.5% of treated patients in 2008, increased to 74.7% in 2014). In 2008, the four most frequently used regimens for first treatment were 1) FCR, 2) rituximab monotherapy, 3) FR, and 4) chlorambucil based regimens. This is in contrast to 2014, where the regimens were 1) bendamustine and rituximab (BR), 2) rituximab monotherapy, 3) FCR, and 4) ibrutinib. When evaluating the use of novel therapies (obinutuzumab, ibrutinib, and idelalisib) for those diagnosed in 2014, there were no significant differences in distribution by age, race/ethnicity, comorbid conditions, SES, or insurance type.Conclusions: There has been an increase in frequency of FISH testing and IgVH mutation analyses from 2008 to 2014. FISH testing is more common compared to IgVH mutation analyses which was modest in both years. Patients of older age, Hispanic ethnicity, and Medicare with no private insurance were also less likely to receive FISH testing in 2014. There are significant differences in the treatment patterns of patients in 2008 compared to 2014, with the use of bendamustine being more common at the expense of FCR. These results highlight rapidly changing practices within CLL in the modern era. DisclosuresNo relevant conflicts of interest to declare.