Socioeconomic inequalities in infant temperament

Background  A low socioeconomic status (SES) has consistently been associated with behavioural problems during childhood. The studies of SES and behaviour in infants used temperament as a behavioural measure. However, these studies in younger children yielded inconsistent findings. Furthermore, they generally did not examine explanatory mechanisms underlying the association between SES and temperament. We investigated the association between SES and temperament in infancy. Methods  The study was embedded in the Generation R study, a population-based cohort in The Netherlands. Maternal and paternal education, family income, and maternal occupational status were used as indicators of SES. At the age of 6 months, 4,055 mothers filled out six scales of the Infant Behaviour Questionnaire-Revised. Results  Lower SES was associated with more difficult infant temperament as measured by five of the six temperament dimensions (e.g. Fear: unadjusted z-score difference between lowest and highest education: 0.57 (95%CI: 0.43, 0.71)). Only the direction of the association between SES and Sadness was reversed. The effect of SES on Distress to Limitations, Recovery from Distress, and Duration of Orienting scores was largely explained by family stress and maternal psychological well-being. These covariates could not explain the higher levels of Activity and Fear nor the lower Sadness scores of infants from low SES groups. Conclusions  SES inequalities in temperament were already present in six months old infants and could partially be explained by family stress and maternal psychological well-being. The results imply that socioeconomic inequalities in mental health in adults may have their origin early in life.     

Socioeconomic disparities affect prefrontal function in children

Social inequalities have profound effects on the physical and mental health of children. Children from low socioeconomic status (SES) backgrounds perform below children from higher SES backgrounds on tests of intelligence and academic achievement, and recent findings indicate that low SES (LSES) children are impaired on behavioral measures of prefrontal function. However, the influence of socioeconomic disparity on direct measures of neural activity is unknown. Here, we provide electrophysiological evidence indicating that prefrontal function is altered in LSES children. We found that prefrontal-dependent electrophysiological measures of attention were reduced in LSES compared to high SES (HSES) children in a pattern similar to that observed in patients with lateral prefrontal cortex (PFC) damage. These findings provide neurophysiological evidence that social inequalities are associated with alterations in PFC function in LSES children. There are a number of factors associated with LSES rearing conditions that may have contributed to these results such as greater levels of stress and lack of access to cognitively stimulating materials and experiences. Targeting specific prefrontal processes affected by socioeconomic disparity could be helpful in developing intervention programs for LSES children.     

Socioeconomic inequalities in the incidence, mortality and prognosis of subarachnoid hemorrhage: the FINMONICA Stroke Register.

Low socioeconomic status (SES) is associated with increased mortality from stroke, but usually no distinction is made between stroke subtypes. We analyzed the relationship of SES with mortality and morbidity of subarachnoid hemorrhage (SAH). In the FINMONICA Stroke Register, 956 consecutive SAH events were recorded during 1983-1992 in patients aged 25-74 years. We used taxable income stratified into three categories, low, middle, and high, as an indicator of SES. The age-standardized incidence of SAH among men and women aged 25-44 years was approximately three times higher in the low-income group than in the high-income group. In older individuals, differences between the income groups were less pronounced. Among survivors of the acute stage, a poorer prognosis was observed in patients with low income than in those with high income. In conclusion, there is a clear excess mortality and morbidity of SAH in young individuals with low income, particularly among men.     

Racial disparities in sleep health between Black and White young adults: The role of neighborhood safety in childhood

ObjectivesBlack adults in the United States have shorter sleep durations and poorer sleep efficiency relative to White adults, yet reasons for these disparities are not well explicated. The objective of this study was to examine neighborhood safety in childhood as a mediator of subsequent racial disparities in sleep.MethodsData were from Black and White young adults attending a large, predominantly White university in the Southeastern United States (N = 263; 52% Black, 53% female; Mean age = 19.21 years, SD = 1.01). Sleep parameters were assessed from eight nights of wrist actigraphy (time in bed, sleep duration, and efficiency) and an established self-report measure of daytime sleepiness. Residential histories from birth through age 18 were documented, and retrospective self-reports of neighborhood safety in childhood were assessed.ResultsBlack participants had less time in bed (p < 0.001), shorter sleep duration (p < 0.001), poorer sleep efficiency (p < 0.001), and more daytime sleepiness (p = 0.009) than White participants. Neighborhood safety mediated race differences in time in bed (p = 0.028), sleep duration (p = 0.033), and daytime sleepiness (p = 0.048), but not sleep efficiency. Findings were substantively unchanged after adjustment for family socioeconomic status, BMI, and substance use.ConclusionsFindings support the hypothesis that neighborhood safety in childhood may partially account for race differences in subsequent sleep duration and daytime sleepiness. Addressing racial inequities in childhood neighborhood safety may be an important step toward reducing racial disparities in sleep health.     

Socioeconomic status variables predict cardiovascular disease risk factors and prospective mortality risk among women with chest pain. The WISE Study

This study examined the relationship between socioeconomic status (SES), coronary artery disease (CAD) risk factors, and all-cause mortality in a cohort of women with chest pain. A total of 743 women (mean age = 59.6 years) with chest pain who were referred for coronary angiography completed a diagnostic protocol including CAD risk factor assessment, ischemic testing, psychosocial testing, and queries of SES. Patients were followed for about 2 years to track subsequent all-cause mortality. Results indicated that low SES was associated with CAD risk factors, including higher BMI and waist-hip ratios, cigarette smoking, lower reported activity levels, and a greater probability of hypertension. Low income also predicted all-cause mortality (RR = 2.7, 95% CI 1.4, 5.2), including after adjusting for proposed psychosocial and behavioral variables (RR = 5.9, 95% CI 1.2-29.7). Future research will require a thorough a priori focus on potential mechanisms to better understand SES effects on health.     

Social inequalities contribute to racial/ethnic disparities in depressive symptomology among men who have sex with men

Purpose

Racial/ethnic minorities experience disproportionate rates of depressive symptoms in the United States. The magnitude that underlying factors—such as social inequalities—contribute to these symptoms is unknown. We sought to identify exposures that explain racial/ethnic differences in clinically significant depressive symptomology among men who have sex with men (MSM).

Methods

Data from the Multicenter AIDS Cohort Study (MACS), a prospective cohort study, were used to examine clinically significant symptoms of depression (Center for Epidemiologic Studies Depression Scale score ≥ 20) among non-Latinx White, non-Latinx Black, and Latinx MSM. We included 44,823 person-visits by 1729 MSM seen in the study sites of Baltimore/Washington, DC; Chicago; Pittsburgh/Columbus; and Los Angeles from 2000 to 2017. Regression models estimated the percentage of depressive symptom risk explained by social, treatment, and health-related variables related to race/ethnicity. Machine-learning methods were used to predict the impact of mitigating differences in determinants of depressive symptoms by race/ethnicity.

Results

At the most recent non-missing MACS visit, 16% of non-Latinx White MSM reported clinically significant depressive symptoms, compared to 22% of non-Latinx Black and 25% of Latinx men. We found that income and social-environmental stress were the largest contributors to racial/ethnic disparities in risk for depressive symptoms. Similarly, setting the prevalence of these two exposures to be equal across racial/ethnic groups was estimated to be most effective at reducing levels of clinically significant depressive symptoms.

Conclusion

Results suggested that reducing socioeconomic inequalities and stressful experiences may be effective public health targets to decrease racial/ethnic disparities in depressive symptoms among MSM.