Understanding the Highs and Lows of Socioeconomic Status

Associations of socioeconomic status and chronic stress with incident atrial fibrillation among older adults: A prospective cohort study from the UK biobank

BACKGROUND

This study aimed to assess the relationship between socioeconomic status (SES) and chronic stress on the incidence of atrial fibrillation (AF) in older adults, and the potential role of chronic stress in the association.

METHODS

This study included 122,494 UK Biobank participants aged ≥60 years without AF at baseline. Latent class analysis was used to define the SES of participants. Chronic stress was measured using allostatic load (AL), and participants were categorized into low, medium and high AL groups. The Cox proportional hazards model, mediation, and interaction analyses were conducted to investigate the associations between SES, AL, and AF risk.

RESULTS

Low SES (hazard ratio [HR]: 1.10; 95 % confidence interval [CI]: 1.04-1.15) and high AL (HR: 1.37; 95 % CI: 1.30-1.45) were associated with an increased risk of AF, respectively. Individuals in the low SES and high AL groups exhibited the highest risk of AF compared to those in the high SES and low AL groups (HR: 1.46; 95 % CI: 1.32-1.61). We identified additive and multiplicative interactions in the low SES and high AL groups (relative risk due to interaction: 0.12 (95 % CI: 0.02-0.22); P for interaction = 0.0385). AL also exerted a partial mediating effect on the association between SES and the incidence of AF (mediation proportion: 17.3 %; 95 % CI: 5.9-28.7 %).

CONCLUSIONS

Our study revealed significant associations between SES, chronic stress, and the incidence of AF in older adults. Chronic stress was also shown to partially mediate the association.

Temporal trends of health disparity in the utilization of curative-intent treatments for hepatocellular carcinoma: are we making progress?

BACKGROUND

Liver-directed treatments - ablative therapy (AT), surgical resection (SR), liver transplantation (LT), and transarterial chemoembolization (TACE) - improve the overall survival of patients with early-stage hepatocellular carcinoma (HCC). Although racial and socioeconomic disparities affect access to liver-directed therapies, the temporal trends for the curative-intent treatment of HCC remain to be elucidated.

METHODS

This study performed chi-square, logistic regression, and temporal trends analyses on data from the Nationwide Inpatient Sample from 2011 to 2019. The outcome of interest was the rate of AT, SR, LT (curative-intent treatments), and TACE utilization, and the primary predictors were racial/ethnic group and socioeconomic status (SES; insurance status).

RESULTS

African American and Hispanic patients had lower odds of receiving AT (African American: odds ratio [OR], 0.78; P < .001; Hispanic: OR, 0.84; P = .005) and SR (African American: OR, 0.71; P < .001; Hispanics: OR, 0.64; P < .001) than White patients. Compared with White patients, the odds of LT was lower in African American patients (OR, 0.76; P < .001) but higher in Hispanic patients (OR, 1.25; P = .001). Low SES was associated with worse odds of AT (OR, 0.79; P = .001), SR (OR, 0.66; P < .001), and LT (OR, 0.84; P = .028) compared with high SES. Although curative-intent treatments showed significant upward temporal trends among White patients (10.6%-13.9%; P < .001) and Asian and Pacific Islander/other patients (14.4%-15.7%; P = .007), there were nonsignificant trends among African American patients (10.9%-10.1%; P = .825) or Hispanic patients (12.2%-13.7%; P = .056).

CONCLUSION

Our study demonstrated concerning disparities in the utilization of curative-intent treatment for HCC based on race/ethnicity and SES. Moreover, racial/ethnic disparities have widened rather than improved over time.

The Child Opportunity Index and asthma morbidity among children younger than 5 years old in Washington, DC

BACKGROUND

Place-based social determinants of health are associated with pediatric asthma morbidity. However, there is little evidence on how social determinants of health correlate to the disproportionately high rates of asthma morbidity experienced by children <5 years old.

OBJECTIVES

This study sought to evaluate census tract associations between the Child Opportunity Index ±COI) and at-risk rates (ARRs) for pediatric asthma-related emergency department (ED) encounters and hospitalizations in Washington, DC.

METHODS

This was a cross-sectional study of children <5 years old with physician-diagnosed asthma included in the DC Asthma Registry between January 2018 and December 2019. Census tract COI score (1-100) and its 3 domains (social/economic, health/environmental, and educational) were the exposures (source: www.diversitydatakids.org). ED and hospitalization ARRs (outcomes) were created by dividing counts of ED encounters and hospitalizations by populations with asthma for each census tract and adjusted for population-level demographic (age, sex, insurance), clinical (asthma severity), and community (violent crime and limited English proficiency) covariates.

RESULTS

Within a study population of 3806 children with a mean age of 2.4 ± 1.4 years, 2132 (56%) had 5852 ED encounters, and 821 (22%) had 1418 hospitalizations. Greater census tract overall COI, social/economic COI, and educational COI were associated with fewer ED ARRs. There were no associations between the health/environmental COI and ED ARRs or between the COI and hospitalization ARRs.

CONCLUSION

Improving community-level social, economic, and educational opportunity within specific census tracts may reduce ED ARRs in this population.

Associations of socioeconomic status with infectious diseases mediated by lifestyle, environmental pollution and chronic comorbidities: a comprehensive evaluation based on UK Biobank

BACKGROUND

Socioeconomic status (SES) inequity was recognized as a driver of some certain infectious diseases. However, few studies evaluated the association between SES and the burden of overall infections, and even fewer identified preventable mediators. This study aimed to assess the association between SES and overall infectious diseases burden, and the potential roles of factors including lifestyle, environmental pollution, chronic disease history.

METHODS

We included 401,009 participants from the UK Biobank (UKB) and defined the infection status for each participant according to their diagnosis records. Latent class analysis (LCA) was used to define SES for each participant. We further defined healthy lifestyle score, environment pollution score (EPS) and four types of chronic comorbidities. We used multivariate logistic regression to test the associations between the four above covariates and infectious diseases. Then, we performed the mediation and interaction analysis to explain the relationships between SES and other variables on infectious diseases. Finally, we employed seven types of sensitivity analyses, including considering the Townsend deprivation index as an area level SES variable, repeating our main analysis for some individual or composite factors and in some subgroups, as well as in an external data from the US National Health and Nutrition Examination Survey, to verify the main results.

RESULTS

In UKB, 60,771 (15.2%) participants were diagnosed with infectious diseases during follow-up. Lower SES [odds ratio (OR) = 1.5570] were associated with higher risk of overall infections. Lifestyle score mediated 2.9% of effects from SES, which ranged from 2.9 to 4.0% in different infection subtypes, while cardiovascular disease (CVD) mediated a proportion of 6.2% with a range from 2.1 to 6.8%. In addition, SES showed significant negative interaction with lifestyle score (OR = 0.8650) and a history of cancer (OR = 0.9096), while a significant synergy interaction was observed between SES and EPS (OR = 1.0024). In subgroup analysis, we found that males and African (AFR) with lower SES showed much higher infection risk. Results from sensitivity and validation analyses showed relative consistent with the main analysis.

CONCLUSIONS

Low SES is shown to be an important risk factor for infectious disease, part of which may be mediated by poor lifestyle and chronic comorbidities. Efforts to enhance health education and improve the quality of living environment may help reduce burden of infectious disease, especially for people with low SES.

Anxiety Trajectories the First 10 Years Following a Traumatic Brain Injury (TBI): A TBI Model Systems Study

OBJECTIVE

Determine anxiety trajectories and predictors up to 10 years post-traumatic brain injury (TBI).

DESIGN

Prospective longitudinal, observational study.

SETTING

Inpatient rehabilitation centers.

PARTICIPANTS

2,836 participants with moderate to severe TBI enrolled in the TBI Model Systems National Database who had ≥2 anxiety data collection points.

MAIN OUTCOME MEASURE

Generalized Anxiety Disorder-7 (GAD-7) at 1, 2, 5, and 10-year follow-ups.

RESULTS

Linear mixed models showed higher GAD-7 scores were associated with Black race (p<.001), public insurance (p<.001), pre-injury mental health treatment (p<.001), 2 additional TBIs with loss of consciousness (LOC) (p=.003), violent injury (p=.047), and more years post-TBI (p=.023). An interaction between follow-up year and age was also related to GAD-7 scores (p=.006). A latent class mixed model identified three anxiety trajectories: low-stable (n=2,195), high-increasing (n=289), and high-decreasing (n=352). The high-increasing and high-decreasing groups had ≥mild GAD-7 scores up to 10 years. Compared to the low-stable group, the high-decreasing group was more likely to be Black (OR=2.25), have public insurance (OR=2.13), have had pre-injury mental health treatment (OR=1.77), and have had 2 prior TBIs (OR=3.16).

CONCLUSIONS

A substantial minority of participants had anxiety symptoms that either increased (10%) or decreased (13%) over 10 years, but never decreased below mild anxiety. Risk factors of anxiety included indicators of socioeconomic disadvantage (public insurance) and racial inequities (Black race) as well as having had pre-injury mental health treatment and two prior TBIs. Awareness of these risk factors may lead to identifying and proactively referring susceptible individuals to mental health services.