On the relationship between COVID-19 reported fatalities early in the pandemic and national socio-economic status predating the pandemic.
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ABSTRACT:
SUBMITTER: Foster KL
PROVIDER: S-EPMC8334639 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivesThe United States has the highest number of coronavirus disease 2019 (COVID-19) in the world, with high variability in cases and mortality between communities. We aimed to quantify the associations between socio-economic status and COVID-19-related cases and mortality in the U.S.Study designThe study design includes nationwide COVID-19 data at the county level that were paired with the Distressed Communities Index (DCI) and its component metrics of socio-economic status.MethodsSeverely distressed communities were classified by DCI>75 for univariate analyses. Adjusted rate ratios were calculated for cases and fatalities per 100,000 persons using hierarchical linear mixed models.ResultsThis cohort included 1,089,999 cases and 62,298 deaths in 3127 counties for a case fatality rate of 5.7%. Severely distressed counties had significantly fewer deaths from COVID-19 but higher number of deaths per 100,000 persons. In risk-adjusted analysis, the two socio-economic determinants of health with the strongest association with both higher cases per 100,000 persons and higher fatalities per 100,000 persons were the percentage of adults without a high school degree (cases: RR 1.10; fatalities: RR 1.08) and proportion of black residents (cases and fatalities: Relative risk(RR) 1.03). The percentage of the population aged older than 65 years was also highly predictive for fatalities per 100,000 persons (RR 1.07).ConclusionLower education levels and greater percentages of black residents are strongly associated with higher rates of both COVID-19 cases and fatalities. Socio-economic factors should be considered when implementing public health interventions to ameliorate the disparities in the impact of COVID-19 on distressed communities.
| S-EPMC7568122 | biostudies-literature
Project description:Comparison of whole blood DNA methylation in 45 year-old humans with low and high childhood and adulthood socio-economic position Background: Disadvantaged socio-economic position (SEP) in childhood is associated with increased adult mortality and morbidity. We aimed to establish whether childhood SEP was associated with differential methylation of adult DNA. Methods: Forty adult males from the 1958 British Birth Cohort Study were selected from SEP extremes in both early childhood and mid-adulthood. We performed genome-wide methylation analysis on blood DNA taken at 45y using MeDIP (methylated DNA immunoprecipitation). We mapped in triplicate the methylation state of promoters of ~20,000 genes and 400 microRNAs. Probe methylation scores were averaged across triplicates and differential methylation between groups of individuals was determined. Differentially methylated promoter sites of selected genes were validated using pyrosequencing of bisulfite-converted DNA. Results: 9,112 variably methylated probes (from N=223,359 on the microarray) corresponded to 6,176 gene promoters with at least one variable probe. Unsupervised hierarchical clustering of probes obtained from the 500 most variable promoters revealed a cluster enriched with high SEP individuals confirming that SEP differences contribute to overall epigenetic variation. Methylation levels for 1252 gene promoters were associated with childhood SEP vs 545 promoters for adulthood SEP. Functionally, associations with childhood SEP appear in promoters of genes enriched in key cell signalling pathways. The differentially methylated promoters associated with SEP cluster in megabase-sized regions of the genome. Conclusions: Adult blood DNA methylation profiles show more associations with childhood SEP than adult SEP. Organization of these associations across the genome suggests a well-defined epigenetic pattern linked to early socio-economic environment.
2016-05-25 | GSE31713 | GEO
Project description:Childhood wasting is a global problem and is significantly more pronounced in low and middle income countries like Bangladesh. Socio Economic Status (SES) and Water, Sanitation and Hygiene (WASH) practices may be significantly associated with wasting. Most previous research is consistent about the role of SES, but the significance of WASH in the context of wasting remains ambiguous. The effect of SES and WASH on weight for length (WHZ) is examined using a Structural Equation Model (SEM) to explicitly describe the direct and indirect role of WASH in the context of SES.A nationally representative survey of 10,478 Bangladeshi children under 5 were examined. An expert defined SEM was used to construct latent variables for SES and WASH. The SEM included a direct pathway from SES to WHZ and an indirect pathway from SES to WHZ via WASH along with regression of relevant covariates on the outcome WHZ and the latent variables. Both SES (p<0.01) and WASH (p<0.05) significantly affect WHZ. SES (p<0.01) also significantly affects WASH. Other structural components showed that child's age (p<0.01) affects WHZ and types of residence (p<0.01) affects SES. WASH practices at least partially mediate the association between SES and wasting status. WASH and SES are both significantly associated with WHZ.
| S-EPMC5344309 | biostudies-literature
Project description:BackgroundBehavioral factors such as (excessive) alcohol consumption play a major role in the explanation of social inequalities in health. The unequal distribution of health risk behaviors among socio-economic groups has important consequences for both the current and future health status of the younger generation. However, little is known about socio-economic differences in unhealthy lifestyles during adolescence. The purpose of the present study is to investigate socio-economic differences in adolescent drinking behaviour among 11-15 year old adolescents in Europe and North America.MethodsData was obtained from the Health Behaviour in School-aged Children (HBSC) study 2001/02, a cross-national survey conducted in collaboration with the World Health Organization. The present analysis is based on 69249 male and 73619 female students from 28 countries. The effect of parental occupation and family affluence on episodes of drunkenness was assessed using separate logistic regression models controlling for age.ResultsSocio-economic circumstances of the family had only a limited effect on repeated drunkenness in adolescence. For girls only in one out of 28 countries a significant association between family affluence and repeated drunkenness was observed, while boys from low and/or medium affluent families in nine countries faced a lower risk of drunkenness than boys from more affluent families. Regarding parental occupation, significant differences in episodes of drunkenness were found in nine countries for boys and in six countries for girls. Compared to family affluence, which was positively related to risk of drunkenness, a decreasing occupational status predicted an increasing risk of drunkenness. This pattern was identified within a number of countries, most noticeably for boys.ConclusionParental socio-economic status is only of limited importance for episodes of drunkenness in early adolescence, and this very limited role seems to apply for girls more than for boys and for parental occupation more than family affluence. For future studies it might be important to look at the effects of socio-economic status within the context of other peer, family and school related factors in order to assess to what extent those factors might mediate the effects of social class background.
| S-EPMC1693920 | biostudies-literature
Project description:Social trust and income are associated both within and across countries, such that higher income typically correlates with increased trust. While this correlation is well-documented, the psychological mechanisms sustaining this relationship remain poorly understood. One plausible candidate is people's temporal discounting: on the one hand, trust has a strong time component-it exposes the individual to immediate costs in exchange of uncertain and delayed benefits; on the other hand, temporal discounting is robustly influenced by income. The goal of our studies was to test whether temporal discounting mediates the relationship between income and trust and whether experimentally manipulating perceived income has a downstream impact on temporal discounting and trust. To do so, participants who underestimated their relative income position received information about their true position in the income distribution in order to correct their misperception. Our results indicate that temporal discounting partially mediates the effect of income on social trust in a pre-registered online study on British participants (N = 855). However, receiving a positive information shock on one's income position had no impact on either temporal discounting or social trust. In a second pre-registered study, we replicated the finding that temporal discounting partially mediates the effect of income on social trust in a representative sample of the British population (N = 1130).
| S-EPMC8220284 | biostudies-literature
Project description:BackgroundManagement of cardiovascular risk factors (high cholesterol, diabetes, and hypertension) should start by implementing a healthy lifestyle. Whereas lifestyle recommendations are provided irrespective of the patient's socio-economic status has not been recently assessed in the Brazilian population.AimsTo assess the preventive measures against cardiovascular risk factors according to educational level and income in the Brazilian population.MethodsSurvey data of the 2019 Brazilian National Health Survey (PNS). The PNS is a nationwide household-based survey carried out by the Brazilian Ministry of Health. The PNS included face-to-face interviews and collected information on lifestyle management of high cholesterol, diabetes, and hypertension by a healthy diet, an adequate weight, exercise, and quitting smoking. The participant's educational level and income (in multiples of the basic salary per capita) was collected.ResultsOf the 88,052 participants included, 13,151 (14.9%), 6,986 (7.9%) and 22,516 (25.6%) reported being diagnosed with high cholesterol, diabetes, or hypertension, respectively. Dietary recommendations were the most frequently provided (94.5%, 94.6% and 88.1% for high cholesterol diabetes, and hypertension, respectively), while recommendations to quit smoking to current smokers were the least frequently provided (74.9%, 85.8% and 81.1% for high cholesterol, diabetes, and hypertension, respectively). After multivariable adjustment, participants with a higher educational level or a higher income had a higher likelihood of reporting receipt lifestyle recommendations for high cholesterol or hypertension, while no associations were found for most recommendations for diabetes.ConclusionBetter-educated, wealthier Brazilians report receiving more lifestyle recommendations regarding high cholesterol and hypertension management more frequently than lower-educated or with low-income.
| S-EPMC10728434 | biostudies-literature
Project description:In the U.S. in early 2020, heterogenous and incomplete county-scale data on COVID-19 hindered effective interventions in the pandemic. While numbers of deaths can be used to estimate actual number of infections after a time lag, counties with low death counts early on have considerable uncertainty about true numbers of cases in the future. Here we show that supplementing county-scale mortality statistics with socioeconomic data helps estimate true numbers of COVID-19 infections in low-data counties, and hence provide an early warning of future concern. We fit a LASSO negative binomial regression to select a parsimonious set of five predictive variables from thirty-one county-level covariates. Of these, population density, public transportation use, voting patterns and % African-American population are most predictive of higher COVID-19 death rates. To test the model, we show that counties identified as under-estimating COVID-19 on an early date (April 17) have relatively higher deaths later (July 1) in the pandemic.
| S-EPMC8054145 | biostudies-literature
Project description:The aim of this paper is to develop a further understanding of the relationship between early-life socio-economic status (SES) and adult health disparities. This was accomplished through evaluation of state indicators of positive and negative affect as mechanisms through which early-life SES was associated with susceptibility to a rhinovirus (i.e. the common cold). Analyses were conducted among 286 adults in a viral challenge study in which participants were exposed to a rhinovirus via nasal drops and cold symptoms were evaluated over a period of 5 days. Participant age, body mass index, sex, education, ethnicity, pre-challenge virus-specific antibody titres and subjective adult SES, along with virus type and season of participation, were included as covariates. Early-life SES was associated with cold incidence through state positive affect, but not state negative affect. In addition, contrast analysis indicated that the indirect effect through state positive affect was stronger than the indirect effect through state negative affect. Findings provide further support for early-life SES being an important variable associated with adult health, and that state self-reported positive affect may be an underlying mechanism associated with susceptibility to rhinoviruses. Copyright © 2016 John Wiley & Sons, Ltd.
| S-EPMC5253328 | biostudies-other
Project description:Controlling the pandemic spread of newly emerging diseases requires rapid, targeted allocation of limited resources among nations. Critical, early control steps would be greatly enhanced if the key risk factors can be identified that accurately predict early disease spread immediately after emergence.Here, we examine the role of travel, trade, and national healthcare resources in predicting the emergence and initial spread of 2009 A/H1N1 influenza. We find that incorporating national healthcare resource data into our analyses allowed a much greater capacity to predict the international spread of this virus. In countries with lower healthcare resources, the reporting of 2009 A/H1N1 cases was significantly delayed, likely reflecting a lower capacity for testing and reporting, as well as other socio-political issues. We also report substantial international trade in live swine and poultry in the decade preceding the pandemic which may have contributed to the emergence and mixed genotype of this pandemic strain. However, the lack of knowledge of recent evolution of each H1N1 viral gene segment precludes the use of this approach to determine viral origins.We conclude that strategies to prevent pandemic influenza virus emergence and spread in the future should include: 1) enhanced surveillance for strains resulting from reassortment in traded livestock; 2) rapid deployment of control measures in the initial spreading phase to countries where travel data predict the pathogen will reach and to countries where lower healthcare resources will likely cause delays in reporting. Our results highlight the benefits, for all parties, when higher income countries provide additional healthcare resources for lower income countries, particularly those that have high air traffic volumes. In particular, international authorities should prioritize aid to those poorest countries where both the risk of emerging infectious diseases and air traffic volume is highest. This strategy will result in earlier detection of pathogens and a reduction in the impact of future pandemics.
| S-EPMC2939898 | biostudies-literature
Project description:ObjectiveThis article analyses the relationship between socio-economic status and the prevalence of overweight and obesity in the primary school population in Costa Rica.DesignA National School Weight/Height Census was disseminated across Costa Rica in 2016. The percentage of children who were overweight or obese was calculated by sex, age and socio-economic indicators (type of institution: private, public, mix; type of geographic location: rural, urban and the level of development of the district of residence: quartiles). A mixed-effects multinomial logistic regression model and mixed-effects logistic regression model were used to analyse the association between the prevalence of being overweight or obese and district socio-economic status.SettingThe survey was carried out in public and private primary schools across Costa Rica in 2016.ParticipantsIn total, 347 366 students from 6 to 12 years were enrolled in public and private primary schools.ResultsThe prevalence of overweight and obesity among children was 34·0 %. Children in private schools were more likely to be overweight or obese than students in public schools (OR = 1·10 [1·07, 1·13]). Additionally, children were less likely to be overweight or obese if attending a school in a district of the lowest socio-economic quartile compared with the highest socio-economic quartile (OR = 0·79 [0·75, 0·83]) and in a rural area compared with the urban area (OR = 0·92 [0·87, 0·97]).ConclusionsChildhood obesity in Costa Rica continues to be a public health problem. Prevalence of overweight and obesity in children was associated with indicators of higher socio-economic status.
| S-EPMC10195363 | biostudies-literature