Socioeconomic status and depression-a systematic review.

Childhood adversity significantly increases the risk of depression, but it is unclear whether this risk is most pronounced for depression occurring early in life. In the present study, we examine whether three aspects of childhood adversity--low socio-economic status (SES), family disruption, and residential instability--are related to increased risk of depression during specific stages of the life course. We also examine whether these aspects of childhood adversity are related to the severity of depression. A sample of 1089 of the 4140 births enrolled in the Providence, Rhode Island cohort of the National Collaborative Perinatal Project was interviewed between the ages of 18 and 39. Measures of parental SES, childhood family disruption and residential instability were obtained upon mother's enrolment and at age 7. Age at onset of major depressive episode, lifetime number of depressive episodes, and age at last episode were ascertained via structured diagnostic interviews. Survival analysis was used to identify risk factors for depression onset and remission and Poisson regression was used to model the recurrence rate of depressive episodes. Low parental SES, family disruption and a high level of residential instability, defined as three or more family moves, were related to elevated lifetime risks of depression; the effects of family disruption and residential instability were most pronounced on depression onset by age 14. Childhood adversity was also related to increased risk of recurrence and reduced likelihood of remission. Childhood social disadvantage significantly influences risk of depression onset both in childhood and in adulthood. Early childhood adversity is also related to poor prognosis.

This is a critical, systematic review of the relationship between socioeconomic status (SES) and HIV infection in women in Southern, Central and Eastern Africa. In light of the interest in micro-credit programmes and other HIV prevention interventions structured to empower women through increasing women's access to funds and education, this review examines the epidemiological and public health literature, which ascertains the association between low SES using different measurements of SES and risk of HIV infection in women. Also, given the focus on structural violence and poverty as factors driving the HIV epidemic at a structural/ecological level, as advocated by Paul Farmer and others, this study examines the extent to which differences in SES between individuals in areas with generalized poverty affect risk for SES. Out of 71 studies retrieved, 36 studies met the inclusion criteria including 30 cross-sectional, one case-control and five prospective cohort or nested case-control studies. Thirty-five studies used at least one measurement of female's SES and fourteen also included a measurement of partner's SES. Studies used variables measuring educational level, household income and occupation or employment status at the individual and neighbourhood level to ascertain SES. Of the 36 studies, fifteen found no association between SES and HIV infection, twelve found an association between high SES and HIV infection, eight found an association between low SES and HIV infection and one was mixed. In interpreting these results, this review examines the role of potential confounders and effect modifiers such as history of STDs, number of partners, living in urban or rural areas and time and location of study in sub-Saharan Africa. It is argued that STDs and number of partners are on the causal pathway under investigation between HIV and SES and should not be adjusted as confounders in any analysis. In conclusion, it is argued that in low-income sub-Saharan Africans countries, where poverty is widespread, increasing access to resources for women may initially increase risk of HIV or have no effect on risk-taking behaviours. In some parts of Southern Africa where per capita income is higher and within-country inequalities in wealth are greater, studies suggest that increasing SES may decrease risk. This review concludes that increased SES may have differential effects on married and unmarried women and further studies should use multiple measures of SES. Lastly, it is suggested that the partner's SES (measured by education or income/employment) may be a stronger predictor of female HIV serostatus than measures of female SES.

Combining information on polygenic risk scores (PRSs) with other known risk factors could potentially improve the identification of risk of depression in the general population. However, to our knowledge, no study has estimated the association of PRS with the absolute risk of depression, and few have examined combinations of the PRS and other important risk factors, including parental history of psychiatric disorders and socioeconomic status (SES), in the identification of depression risk. To assess the individual and joint associations of PRS, parental history, and SES with relative and absolute risk of early-onset depression. This case-cohort study included participants from the iPSYCH2012 sample, a case-cohort sample of all singletons born in Denmark between May 1, 1981, and December 31, 2005. Hazard ratios (HRs) and absolute risks were estimated using Cox proportional hazards regression for case-cohort designs. The PRS for depression; SES measured using maternal educational level, maternal marital status, and paternal employment; and parental history of psychiatric disorders (major depression, bipolar disorder, other mood or psychotic disorders, and other psychiatric diagnoses). Hospital-based diagnosis of depression from inpatient, outpatient, or emergency settings. Participants included 17 098 patients with depression (11 748 [68.7%] female) and 18 582 (9429 [50.7%] male) individuals randomly selected from the base population. The PRS, parental history, and lower SES were all significantly associated with increased risk of depression, with HRs ranging from 1.32 (95% CI, 1.29-1.35) per 1-SD increase in PRS to 2.23 (95% CI, 1.81-2.64) for maternal history of mood or psychotic disorders. Fully adjusted models had similar effect sizes, suggesting that these risk factors do not confound one another. Absolute risk of depression by the age of 30 years differed substantially, depending on an individual's combination of risk factors, ranging from 1.0% (95% CI, 0.1%-2.0%) among men with high SES in the bottom 2% of the PRS distribution to 23.7% (95% CI, 16.6%-30.2%) among women in the top 2% of PRS distribution with a parental history of psychiatric disorders. This study suggests that current PRSs for depression are not more likely to be associated with major depressive disorder than are other known risk factors; however, they may be useful for the identification of risk in conjunction with other risk factors.

OBJECTIVE: Little is known about the possible impacts of neighborhood socioeconomic status on birth outcomes and infant mortality among Aboriginal populations. We assessed birth outcomes and infant mortality by neighborhood socioeconomic status among First Nations and non-First Nations in Manitoba. STUDY DESIGN: We conducted a retrospective birth cohort study of all live births (26,176 First Nations, 129,623 non-First Nations) to Manitoba residents, 1991-2000. Maternal residential postal codes were used to assign four measures of neighborhood socioeconomic status (concerning income, education, unemployment, and lone parenthood) obtained from 1996 census data. RESULTS: First Nations women were much more likely to live in neighborhoods of low socioeconomic status. First Nations infants were much more likely to die during their first year of life [risk ratio (RR) =1.9] especially during the postneonatal period (RR=3.6). For both First Nations and non-First Nations, living in neighborhoods of low socioeconomic status was associated with an increased risk of infant death, especially postneonatal death. For non-First Nations, higher rates of pre-term and small-for-gestational-age birth were consistently observed in low socioeconomic status neighborhoods, but for First Nations the associations were less consistent across the four measures of socioeconomic status. Adjusting for neighborhood socioeconomic status, the disparities in infant and postneonatal mortality between First Nations and non-First Nations were attenuated. CONCLUSION: Low neighborhood socioeconomic status was associated with an elevated risk of infant death even among First Nations, and may partly account for their higher rates of infant mortality compared to non-First Nations in Manitoba.

Socioeconomic Status and Campylobacteriosis, Connecticut, USA, 1999–2009

To present and compare socioeconomic status (SES) rankings of households using consumption and an asset-based index as two alternative measures of SES; and to compare and evaluate the performance of these two measures in multivariate analyses of the socioeconomic gradient in malaria prevalence. Data for the study come from a survey of 557 households in 25 study villages in Tanzania in 2004. Household SES was determined using consumption and an asset-based index calculated using Principal Components Analysis on a set of household variables. In multivariate analyses of malaria prevalence, we also used two other measures of disease prevalence: parasitaemia and self-report of malaria or fever in the 2 weeks before interview. Household rankings based on the two measures of SES differ substantially. In multivariate analyses, there was a statistically significant negative association between both measures of SES and parasitaemia but not between either measure of SES and self-reported malaria. Age of individual, use of a mosquito net, and wall construction were negatively and significantly associated with parasitaemia, whilst roof construction was positively associated with parasitaemia. Only age remained significant when malaria self-report was used as the measure of disease prevalence. An asset index is an effective alternative to consumption in measuring the socioeconomic gradient in malaria parasitaemia, but self-report may be an unreliable measure of malaria prevalence for this purpose.

BackgroundDigital technologies such as wearables, websites and mobile applications are increasingly used in interventions targeting physical activity (PA). Increasing access to such technologies makes an attractive prospect for helping individuals of low socioeconomic status (SES) in becoming more active and healthier. However, little is known about their effectiveness in such populations. The aim of this systematic review was to explore whether digital interventions were effective in promoting PA in low SES populations, whether interventions are of equal benefit to higher SES individuals and whether the number or type of behaviour change techniques (BCTs) used in digital PA interventions was associated with intervention effects.MethodsA systematic search strategy was used to identify eligible studies from MEDLINE, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Library, published between January 1990 and March 2020. Randomised controlled trials, using digital technology as the primary intervention tool, and a control group that did not receive any digital technology-based intervention were included, provided they had a measure of PA as an outcome. Lastly, studies that did not have any measure of SES were excluded from the review. Risk of Bias was assessed using the Cochrane Risk of Bias tool version 2.ResultsOf the 14,589 records initially identified, 19 studies were included in the final meta-analysis. Using random-effects models, in low SES there was a standardised mean difference (SMD (95%CI)) in PA between intervention and control groups of 0.06 (− 0.08,0.20). In high SES the SMD was 0.34 (0.22,0.45). Heterogeneity was modest in both low (I2 = 0.18) and high (I2 = 0) SES groups. The studies used a range of digital technologies and BCTs in their interventions, but the main findings were consistent across all of the sub-group analyses (digital interventions with a PA only focus, country, chronic disease, and duration of intervention) and there was no association with the number or type of BCTs.DiscussionDigital interventions targeting PA do not show equivalent efficacy for people of low and high SES. For people of low SES, there is no evidence that digital PA interventions are effective, irrespective of the behaviour change techniques used. In contrast, the same interventions in high SES participants do indicate effectiveness. To reduce inequalities and improve effectiveness, future development of digital interventions aimed at improving PA must make more effort to meet the needs of low SES people within the target population.

The authors examined the risk that family disruption and low socioeconomic status in early childhood confer on the onset of major depression in adulthood. Participants were 1,104 offspring of mothers enrolled during pregnancy in the Providence, R.I., site of the National Collaborative Perinatal Project. Measures of childhood family disruption and socioeconomic status were obtained before birth and at age 7. Structured diagnostic interviews were used to assess respondents' lifetime history of major depressive episode between the ages of 18 and 39. Survival analysis was used to identify childhood risks for depression onset. Parental divorce in early childhood was associated with a higher lifetime risk of depression among subjects whose mothers did not remarry as well as among subjects whose mothers remarried. These effects were more pronounced when accompanied by high levels of parental conflict. Independent of the respondents' adult socioeconomic status, low socioeconomic status in childhood predicted an elevated risk of depression. Family disruption and low socioeconomic status in early childhood increase the long-term risk for major depression. Reducing childhood disadvantages may be one avenue for prevention of depression. Identification of modifiable pathways linking aspects of the early childhood environment to adult mental health is needed to mitigate the long-term consequences of childhood disadvantage.

Major depression occurs more frequently among people of lower socioeconomic status (SES) and among females. Although the focus of considerable investigation, the development of SES and sex differences in depression remains to be fully explained. In this study, we test the hypotheses that low childhood SES predicts an increased risk of adult depression and contributes to a higher risk of depression among females. Participants were 1132 adult offspring of mothers enrolled in the Providence, Rhode Island site of the US National Collaborative Perinatal Project between 1959 and 1966. Childhood SES, indexed by parental occupation, was assessed at the time of participants' birth and seventh year. A lifetime history and age at onset of major depressive episode were ascertained via structured interviews according to diagnostic criteria. Survival analyses were used to model the likelihood of first depression onset as a function of childhood SES. Participants from lower SES backgrounds had nearly a twofold increase in risk for major depression compared to those from the highest SES background independent of childhood sociodemographic factors, family history of mental illness, and adult SES. Analyses of sex differences in the effect of childhood SES on adult depression provided modest support for the hypothesis that childhood SES contributes to adult sex differences in depression. Low SES in childhood is related to a higher risk of major depression in adults. Social inequalities in depression likely originate early in life. Further research is needed to identify the pathways linking childhood conditions to SES differences in the incidence of major depression.

Background Major depression occurs more frequently among people of lower socioeconomic status (SES) and among females. Although the focus of considerable investigation, the development of SES and sex differences in depression remains to be fully explained. In this study, we test the hypotheses that low childhood SES predicts an increased risk of adult depression and contributes to a higher risk of depression among females. Methods Participants were 1132 adult offspring of mothers enrolled in the Providence, Rhode Island site of the US National Collaborative Perinatal Project between 1959 and 1966. Childhood SES, indexed by parental occupation, was assessed at the time of participants' birth and seventh year. A lifetime history and age at onset of major depressive episode were ascertained via structured interviews according to diagnostic criteria. Survival analyses were used to model the likelihood of first depression onset as a function of childhood SES. Results Participants from lower SES backgrounds had nearly a twofold increase in risk for major depression compared to those from the highest SES background independent of childhood sociodemographic factors, family history of mental illness, and adult SES. Analyses of sex differences in the effect of childhood SES on adult depression provided modest support for the hypothesis that childhood SES contributes to adult sex differences in depression. Conclusions Low SES in childhood is related to a higher risk of major depression in adults. Social inequalities in depression likely originate early in life. Further research is needed to identify the pathways linking childhood conditions to SES differences in the incidence of major depression.

Individuals with low socioeconomic status (SES) are disproportionally affected by depressive disorders which are among the main causes for loss in healthy life years in adults worldwide. The main objective of the research presented here was to identify a psychological mindset of individuals with low SES and to investigate whether this mindset mediates the relationship between low SES and symptoms of depression. Towards these goals, a series of four studies was conducted: Study 1 identified a set of ten statements reflecting a psychological mindset associated with low SES using a population-based sample from Germany (N = 1,969). Study 2 cross-validated a psychometric scale (S-Scale) that was created based on these statements in a population-based sample from Germany (N = 3,907). Study 3 introduced a longitudinal perspective and showed that the S-Scale mediated the relationship between low SES and symptoms of depression assessed one year later in a German student sample (N = 1,275). Study 4 supported unidimensionality and construct validity of a unified version of the S-Scale and confirmed the mediation effect of the S-Scale for SES and depression while controlling for confounding variables (e.g., socially desirable responding) in a U.S. American convenience sample (N = 1,000). Evidence from four studies supported the reliability and validity of the S-Scale. Controlling for a psychological mindset as measured with this scale, low SES was no longer a predictor of depressive symptoms. The S-Scale can be used in clinical and research settings to assess a psychological mindset that puts individuals at risk for depression. Overall strengths of this series of studies include the use of population-based and longitudinal datasets and the application of findings to different operationalizations of SES. Future studies should investigate whether this mindset can be modified by psychological interventions and whether changes in this mindset predict improvements in depressive symptoms.

10547 Background: Disruptions of daily life activities during the CVOID-19 pandemic have adversely affected cancer-prevention behaviors. Socioeconomic status (SES) impacts on changes in cancer prevention behaviors have not been fully investigated. To tackle this gap, we examined the effects of SES on COVID-19 related changes in cancer prevention behaviors. Methods: We invited participants from previous studies conducted at the Ohio State University Comprehensive Cancer Center who agreed to be re-contacted to participate in a survey assessing the impact of COVID-19 on various behaviors between June and November 2020. Participants reported current cancer prevention behaviors, including physical activity, daily fruit and vegetable intake, alcohol consumption, and tobacco use. In addition, participants reported qualitative changes in current behaviors relative to pre-COVID levels. We combined current behaviors with COVID-related changes to construct a 24-point cancer prevention score. Participants were classified into low, middle, or high SES based on household income, education, and employment status. Adjusted multinomial logistic regression was used to examine the association between SES and COVID-19 related changes in cancer prevention behaviors. Results: The study sample included 6136 eligible participants. The average age was 57 years, 67% were female, 89% were non-Hispanic White, and 33% lived in non-metro counties. The proportion of participants in the lowest cancer prevention behavior quartile decreased significantly with higher SES [low SES vs. high SES; 32% vs. 28%; P-value <.001]. Relative to pre-COVID-19 levels, higher SES was significantly associated with increases in post-COVID-19 prevalence of more physical activity [low SES vs. high SES; 12% vs. 28%; P-value <.001], higher fruit and vegetable intake [low SES vs. high SES; 12% vs. 14%; P-value <.001], and more alcohol consumption [low SES vs. high SES; 15% vs. 22%; P-value <.001]. Higher SES was associated with lower tobacco use prevalence [low SES vs. high SES; 5% vs. 2%; P-value <.001]. Relative to the highest prevention score quartile, the adjusted odds of scoring in the lowest prevention score quartile were: adjusted odds ratio (aOR) 1.55 (95% CI: 1.27 - 1.89) and aOR 1.40 (95% CI: 1.19 - 1.66), respectively higher for low and middle SES. Low SES was significantly associated with higher odds of less frequent physical activity (aOR = 1.87; 95% CI: 1.49 - 2.35) and less fruit and vegetable consumption (aOR = 1.56; 95% CI: 1.15 - 2.12). Middle SES relative to high SES was associated with lower odds of more alcohol consumption (aOR = 0.64; 95% CI: 0.49 - 0.85) and higher odds of binge drinking (aOR = 1.32; 95% CI: 1.09 - 1.59). Conclusions: The adverse impacts of COVID-19 on cancer prevention behaviors were seen most in those with lower SES. Public health efforts are currently needed to promote cancer prevention behaviors, especially amongst lower SES adults.

Understanding the highs and lows of socioeconomic status

Background: Socioeconomic status (SES) has been associated with intracerebral hemorrhage (ICH) incidence, but its impact on ICH-related features and outcomes is unclear. Methods: We performed a single-center cohort study on consecutive ICH patients admitted over 2 years. Demographics, ICH characteristics, and outcomes were prospectively collected, while SES-related data were retrospectively abstracted. We classified SES quartiles using census estimates of median household incomes corresponding to patients’ home ZIP codes, then categorized patients as “lower SES” if their ZIP code was in the lowest SES quartile, if they were uninsured, or had Medicaid as their source of insurance. We compared ICH characteristics between patients with lower vs. higher SES, then determined associations between lower SES and unfavorable 3-month outcome (modified Rankin Scale 4-6) using multivariable logistic regression. Results: Of 665 patients, 31% (n=207) were categorized as lower SES. Patients with lower SES were significantly younger (mean [SD] 64.7 [16.1] vs. 73.1 [14.2] years, p<0.001), more often non-white (38% vs. 8%, p<0.001), and had a higher prevalence of multiple vascular risk factors. There were no significant differences in ICH volume or prevalence of infratentorial or intraventricular hemorrhage. However, patients with lower SES had a shorter time-to-presentation (median [IQR] 4.5 [1.3-15.2] vs. 7.4 [1.4-21.7]), hours from last known well, p=0.01), and had fewer ICH due to cerebral amyloid angiopathy (13% vs. 30%, p<0.001). Despite these differences, patients with lower SES did not have a significantly higher likelihood of unfavorable 3-month outcomes (OR 1.2 [95% CI 0.7-1.8]). Conclusions: Differences in ICH features may be driven by pre-morbid healthcare disparities in lower SES patients. Although their younger age and shorter time to presentation may have mitigated the deleterious effects of comorbidities on long-term outcomes, these factors may also belie a greater loss of quality-adjusted life years from ICH-related disability.

Bacterial vaginosis (BV), an important risk factor for preterm birth, is a more common infection in Black compared with White pregnant women. Because Black women in the United States are more likely to have lower measures of socioeconomic status (SES), this study examined the hypothesis that BV is associated with low SES. The project evaluated data from the Preterm Prediction Study of 2,929 women prospectively followed during their pregnancies. The women, who were screened for BV at 24 and 28 weeks of gestation, underwent a structured interview to evaluate demographic factors, SES, home and work environment, drug or alcohol use, and prior medical history. Black women in the study had many measures of lower SES compared with the White women, and reported less use of tobacco, alcohol and drugs. In neither the Black nor White women was an association found between BV and measures of SES (with the sole exception of "absence of a home telephone"). Most measures of SES do not explain the difference in rates of BV in Black and in White pregnant women.