Long COVID Linked With Unemployment in New Analysis.

This Medical News article discusses new research on the association between long COVID and employment status.

Psychosocial Risk in COVID Context: The Impact of Economic Factors and Labour Protection Policy (ERTEs) in Spain.

The pandemic and the current situation have caused working poverty and therefore social risk, which implies a deterioration in well-being, affecting mental health and anxiety. In this context, the employment situation tends to be regarded ignoring previous social differences, economic and mental components, which should be considered when establishing priorities to program a global action of various synergistic elements. The study involved 4686 people (3500 women and 1186 men). They all completed a questionnaire that evaluated their anxiety, employment situation, income, changes of working status, and fears of becoming infected at the workplace. The results show the need to take into account the social determinants of mental health in vulnerable groups due to socioeconomic factors, job changes, contractual changes, age, or gender, considering the need to generate strategies to manage mental health and deal with it at a structural level, therefore displacing individual focus policies and interventions. An example of these policies are ERTEs (record of temporary employment regulation), constituting a perceived measure of protection and acting as an effective buffer against the economic crisis, thus reducing anxiety.

Food Security in the Time of COVID-19 for a Marshallese Community.

Using an individual and family ecological systems model, we explored food security among a Marshallese cohort in Northwest Arkansas during the COVID-19 pandemic. We hypothesized that Marshallese households were experiencing high rates of food insecurity due to socioeconomic and systemic risk factors. Seventy-one Marshallese adults shared socioeconomic information about their household via an online survey. Descriptive results indicate that 91% of respondents report food insecurity. In terms of systemic barriers, almost half of Marshallese respondents do not have health insurance. Additionally, while most respondents report feeling calm, peaceful, and energetic, paradoxically, 81% report feeling depressed and downhearted at least some of the time. Logistic regression findings suggest that food insecurity is significantly related to education levels and household economic strain. These results are analogous with national findings, whereby non-native households are more likely to experience higher levels of food insecurity, lower rates of education, and higher economic strain than native households. As a collective community, the Marshallese could benefit from culturally responsive individual and family systems approaches for improving educational, social, financial, and health opportunities through workforce development, household income and asset development, and food security initiatives. Additional implications for policy, practice, and research are provided.

Cohort Profile: Real-Time Insights of COVID-19 in India (RTI COVID-India).

BACKGROUND: The coronavirus disease (COVID) pandemic caused disruption globally and was particularly distressing in low- and middle-income countries such as India. This study aimed to provide population representative estimates of COVID-related outcomes in India over time and characterize how COVID-related changes and impacts differ by key socioeconomic groups across the life course. METHODS: The sample was leveraged from an existing nationally representative study on cognition and dementia in India: Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). The wave-1 of LASI-DAD enrolled 4096 older adults aged 60 years and older in 3316 households from 18 states and union territories of India. Out of the 3316 LASI-DAD households, 2704 with valid phone numbers were contacted and invited to participate in the Real-Time Insights COVID-19 in India (RTI COVID-India) study. RTI COVID-India was a bi-monthly phone survey that provided insight into the individual's knowledge, attitudes, and behaviour towards COVID-19 and changes in the household's economic and health conditions throughout the pandemic. The survey was started in May 2020 and 9 rounds of data have been collected. FINDINGS TILL DATE: Out of the 2704 LASI-DAD households with valid phone numbers, 1766 households participated in the RTI COVID-India survey at least once. Participants were in the age range of 18-102 years, 49% were female, 66% resided in rural area. Across all rounds, there was a higher report of infection among respondents aged 60-69 years. There was a greater prevalence of COVID-19 diagnosis reported in urban (23.0%) compared to rural areas (9.8%). Respondents with higher education had a greater prevalence of COVID-19 diagnosis compared to those with lower or no formal education. Highest prevalence of COVID-19 diagnosis was reported from high economic status compared to middle and low economic status households. Comparing education gradients in experiencing COVID-19 symptoms and being diagnosed, we observe an opposite pattern: respondents with no formal schooling reported the highest level of experiencing COVID-19 symptoms, whereas the greatest proportion of the respondents with secondary school or higher education reported being diagnosed with COVID-19. FUTURE PLANS: The study group will analyse the data collected showing the real-time changes throughout the pandemic and will make the data widely available for researchers to conduct further studies.

Has COVID-19 increased inequality in mortality by income in the Netherlands?

BACKGROUND: In the Netherlands in 2020, COVID-19 deaths were more concentrated among individuals with a lower income. At the same time, COVID-19 was a new cause that also displaced some deaths from other causes, potentially reducing income-related inequality in non-COVID deaths. Our aim is to estimate the impact of the COVID-19 pandemic on the income-related inequality in total mortality and decompose this into the inequality in COVID-attributed deaths and changes in the inequality in non-COVID causes. METHODS: We estimate excess deaths (observed minus trend-predicted deaths) by sex, age and income group for the Netherlands in 2020. Using a measure of income-related inequality (the concentration index), we decompose the inequality in total excess mortality into COVID-19 versus non-COVID causes. RESULTS: Cause-attributed COVID-19 mortality exceeded total excess mortality by 12% for the 65-79 age group and by about 35% for 80+ in the Netherlands in 2020, implying a decrease in the number of non-COVID deaths compared with what was predicted. The income-related inequality in all-cause mortality was higher than predicted. This increase in inequality resulted from the combination of COVID-19 mortality, which was more unequally distributed than predicted total mortality, and the inequality in non-COVID causes, which was less unequal than predicted. CONCLUSION: The COVID-19 pandemic has led to an increase in income-related inequality in all-cause mortality. Non-COVID mortality was less unequally distributed than expected due to displacement of other causes by COVID-19 and the potentially unequal broader societal impact of the pandemic.

Area-level deprivation, neighbourhood factors and associations with mental health.

The COVID-19 pandemic saw residential neighbourhoods become more of a focal point in people's lives, where people were greater confined to living, working, and undertaking leisure in their locality. This study investigates whether area-level deprivation and neighbourhood conditions influence mental health, accounting for demographic, socio-economic and health circumstances of individuals. Using nationally representative data from Ireland, regression modelling revealed that area-level deprivation did not in itself have a discernible impact on mental health status (as measured using the Mental Health Inventory-5 instrument and the Energy and Vitality Index), or likelihood of having suffered depression in the previous 12 months. However, positive perceptions of area safety, service provision, and area cleanliness were associated with better mental health, as was involvement in social groups. Broad ranging policies investing in neighbourhoods, could have benefits for mental health, which may be especially important for deprived communities.

Timing, extent and outcomes of public health measures in the first wave of the COVID-19 pandemic in Israel and a comparative analysis by socioeconomic indices.

BACKGROUND: Early in the coronavirus disease 2019 (COVID-19) pandemic, governments implemented exceptional public health measures (PHMs) in the face of uncertainty. This study aimed to compare mitigation policies implemented by Israel and their timing in the first wave of the pandemic to those of other countries, and to assess whether country characteristics such as democracy, trust, education, economic strength and healthcare reserve were associated with decision-making. METHODS: PHMs and pre-pandemic characteristics, using internationally accepted indices, of 50 countries were collected from 1/1/2020-30/06/2020; and associations between them were assessed. Time to implementation of these measures was compared among the Organisation for Economic Co-operation (OECD) nations. Log-rank test was used for univariate analysis. Cox regression was performed to assess the independent contribution of pre-pandemic characteristics to time-to-implementation of measures. Correlations between timing of specific measures and COVID-19 mortality at 60 days were assessed. RESULTS: Israel ranked in the upper third of the OECD in swiftness to implementation of eight of the ten measures compared. In univariate survival analysis, countries with an education level below the OECD median were more likely to implement a lockdown (p-value = 0.043) and to close restaurants and entertainment venues (p-value = 0.007) when compared to countries above the OECD median. In Cox regression models, controlling for geographic location, democracy level above the OECD median was associated with a longer time-to-implementation of a lockdown (HR=0.35, 95% CI=0.14-0.88, p-value=0.025). Similarly, a high level of GDP per capita was inversely associated with closing schools; and a high level of education inversely associated with closure of restaurants and entertainment venues. Earlier initiation of all PHMs was associated with lower mortality at 60 days, controlling for geographic location. CONCLUSIONS: Israel's initial response to the pandemic was relatively quick, and may have been facilitated by its geographic isolation. Countries with lower pre-pandemic socio-economic indices were quicker to initiate forced social distancing. Early initiation of PHMs was associated with reduced mortality in the short run. Timing of initiation of measures relative to the country-specific spread of disease is a significant factor contributing to short-term early local pandemic control, perhaps more than the exact measures implemented. It is important to note that this study is limited to the initial pandemic response. Furthermore, it does not take into account the broader long-term effects of certain PHMs, which should be a focus of further research.

Prevalence and change in social inequalities in physical activity before and during the COVID-19 pandemic in Sweden.

BACKGROUND: Physical activity is crucial for our wellbeing. Since the COVID-19 pandemic emerged, physical activity behaviour has changed globally, and social inequalities that already exist in physical activity have increased. However, there is limited knowledge of how these inequalities have evolved in Sweden. Thus, the aim of this study was to assess the prevalence of physical activity, and the socioeconomic inequalities in physical activity before and during the COVID-19 pandemic. METHODS: This study analysed data from the national 'Health on Equal Terms' survey which was conducted on participants between 16 and 84, through a repeated cross-sectional design in 2018 (pre-pandemic) and 2021 (during the pandemic). The socioeconomic variables included gender, age, education, occupation, income, and place of birth. For both years, the prevalence of low physical activity, the absolute risk differences, the slope index of inequality, and the slope index difference for each of the variables were calculated. RESULTS: The level of physical activity increased for the total population studied. However, the social inequalities that existed in 2018 increased over time and across age, education, occupation, income, and place of birth, but not with regard to gender. CONCLUSIONS: Even though the Swedish population increased their levels of physical activity during the COVID-19 pandemic, the social inequalities that already existed in physical activity increased. Interventions to increase the level of physical activity among the young, people with low socioeconomic status, and those born outside Sweden are needed to reduce these social inequalities, and to improve the Swedish population's wellbeing.

Temporal trend of COVID-19 incidence and mortality rates and their relationship with socioeconomic indicators in the state of Piauí, Brazil: an ecological study, 2020-2021. / Tendência temporal das taxas de incidência e de mortalidade por COVID-19 e sua relação com indicadores socioeconômicos no Piauí: estudo ecológico, 2020-2021.

OBJECTIVE: To analyze the temporal trend of COVID-19 incidence and mortality rates and their relationship with socioeconomic indicators. METHODS: This was an ecological time series study of COVID-19 cases/deaths in municipalities in Piauí, Brazil, between March, 2020 and May, 2021. Prais-Winsten linear regression model and Spearman's correlation test were used. RESULTS: There were 271,228 cases and 5,888 deaths in the period. There was a rising trend in COVID-19 incidence rate, while the mortality trend was stable. The spatio-temporal analyses showed higher incidence/mortality in the second and fifth quarters of the period. There was no statistically significant correlation between COVID-19 and the Social Vulnerability Index (IVS). Significant correlations between the Municipal Human Development Index (IDHM) and COVID-19 incidence (p-value < 0.001) and mortality rates (p-value < 0.001) were found. CONCLUSION: There was a rising trend in COVID-19 incidence and stability in COVID-19 mortality. Correlation between the MHDI and these two indicators was moderate and weak, respectively, demanding public service management decisions aimed at improving the population's quality of life.

The association between chronic conditions, COVID-19 infection, and food insecurity among the older US adults: findings from the 2020-2021 National Health Interview Survey.

BACKGROUND: This study aims to examine how the presence of chronic conditions or positive COVID-19 infection (as exposures) is related to food insecurity (as an outcome) in the older population and whether there is a dose-response relationship between the number of chronic conditions and the severity of food insecurity. METHODS: Cross-sectional data of 17,977 older adults (≥ 65 years) from the 2020-2021 National Health Interview Survey were analyzed. Chronic conditions included physical health conditions (i.e., arthritis, coronary heart diseases, hypertension, stroke, prediabetes, diabetes, asthma, chronic obstructive pulmonary disease, and disability) and mental health conditions (i.e., anxiety and depression disorder). COVID-19 infection status was determined by a self-reported diagnosis of COVID-19. Household food insecurity was measured using the 10-item US Department of Agriculture (USDA) Food Security Survey Module with a 30-day look-back window. Multinomial logistic regression models were used to examine the association between health conditions and food insecurity controlling for socio-demographic factors. RESULTS: Our results indicated that 4.0% of the older adults lived in food-insecure households. The presence of chronic conditions was significantly associated with higher odds of being food insecure independent of socio-demographic factors (AOR ranged from 1.17 to 3.58, all p < 0.0001). Compared with participants with 0-1 chronic condition, the odds of being (low or very low) food insecure was 1.09 to 4.07 times higher for those with 2, or ≥ 3 chronic conditions (all p < 0.0001). The severity of food insecurity significantly increased as the number of chronic conditions increased (p for trend < 0.0001). Besides, COVID-infected participants were 82% more likely to be very low food secure than the non-infected participants (AOR = 1.82, 95% CI: 1.80, 1.84). CONCLUSIONS: The presence of chronic conditions or positive COVID-infection is independently associated with household food insecurity. Clinical health professionals may help identify and assist individuals at risk of food insecurity. Management and improvement of health conditions may help reduce the prevalence and severity of food insecurity in the older population.

Household food insecurity before and during COVID-19 pandemic and its association with perceived stress: population-based studies.

The growing prevalence of food insecurity observed in the last years, has been favored by the COVID-19 pandemic, leading to mental health issues, such as stress. We aim to analyze the prevalence of household food insecurity before and during the COVID-19 pandemic and its association with perceived stress. We analyzed data from two population-based studies conducted in 2019 and 2020-2021 in the municipality of Criciúma, State of Santa Catarina, Southern Brazil. Food insecurity and perceived stress were assessed with the Brazilian Food Insecurity Scale and the Perceived Stress Scale. The covariables were sex, age, skin color, schooling level, income, job status, marital status, household crowding, overweight, and diet quality. Crude and adjusted associations between food insecurity and perceived stress were assessed using Poisson regression. A total of 1,683 adult individuals were assessed. Prevalence of food insecurity was 25.8% in 2019, decreasing to 21.6% in 2020. Prevalence of perceived stress was about 38% for both years. Before the pandemic, food insecurity increased the prevalence of perceived stress by 29% (PR = 1.29; 95%CI: 1.02; 1.63), but no association was found during COVID-19. We found a worrying prevalence of food insecurity before and after de pandemic, nonetheless food insecurity and perceived stress were associated only in 2019. An assessment of these aspects after COVID-19 is needed to ensure basic life rights for all.

Mortality inequalities in France since the 1920s: Evidence of a reversal of the income gradient in mortality.

Many recent studies show that Europe has had a lower mortality inequality for most ages than the United States over the last thirty years. However, the evolution of the income gradient in mortality all along the twentieth century remains poorly understood. This article uses a unique dataset that gives the annual lifetables and fiscal income for the 90 administrative regions of mainland France from 1922 to 2020. The income gradients in mortality are computed across regions using a traditional method with calendar ages and, alternatively, with mortality milestones to control for the increase in life expectancy over time. The study reveals a systematic reversal of the gradient that occurred around the 1970s for both sexes and all ages or mortality groups when calculated at an aggregated level. Inequality in mortality amongst the oldest age groups has however returned to a level observed at least ten years earlier because of Covid-19, even after controlling for mortality improvements over the period.

The effects of department of Veterans Affairs medical centers on socio-economic outcomes: Evidence from the Paycheck Protection Program.

Do medical facilities also help advance improvements in socio-economic outcomes? We focus on Veterans, a vulnerable group over the COVID-19 pandemic who have access to a comprehensive healthcare network, and the receipt of funds from the Paycheck Protection Program (PPP) between April and June as a source of variation. First, we find that Veterans received 3.5% more loans and 6.8% larger loans than their counterparts (p < 0.01), controlling for a wide array of zipcode characteristics. Second, we develop models to predict the number of PPP loans awarded to Veterans, finding that the inclusion of local VA medical center characteristics adds almost as much explanatory power as the industry and occupational composition in an area and even more than the education, race, and age distribution combined. Our results suggest that VA medical centers can play an important role in helping Veterans thrive even beyond addressing their direct medical needs.

Household catastrophic health expenditure for COVID-19 during March-August 2021, in South India: a cross-sectional study.

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic increased the utilisation of healthcare services. Such utilization could lead to higher out-of-pocket expenditure (OOPE) and catastrophic health expenditures (CHE). We estimated OOPE and the proportion of households that experienced CHE by conducting a cross-sectional survey of 1200 randomly selected confirmed COVID-19 cases. METHODS: A cross-sectional survey was conducted by telephonic interviews of 1200 randomly selected COVID-19 patients who tested positive between 1 March and 31 August 2021. We collected household-level information on demographics, income, expenditure, insurance coverage, direct medical and non-medical costs incurred toward COVID-19 management. We estimated the proportion of CHE with a 95% confidence interval. We examined the association of household characteristics; COVID-19 cases, severity, and hospitalisation status with CHE. A multivariable logistic regression analysis was conducted to ascertain the effects of variables of interest on the likelihood that households face CHE due to COVID-19. RESULTS: The mean (95%CI) OOPE per household was INR 122,221 (92,744-1,51,698) [US$1,643 (1,247-2,040)]. Among households, 61.7% faced OOPE, and 25.8% experienced CHE due to COVID-19. The odds of facing CHE were high among the households; with a family member over 65 years [OR = 2.89 (2.03-4.12)], with a comorbid individual [OR = 3.38 (2.41-4.75)], in the lowest income quintile [OR = 1.82 (1.12-2.95)], any member visited private hospital [OR = 11.85 (7.68-18.27)]. The odds of having CHE in a household who have received insurance claims [OR = 5.8 (2.81- 11.97)] were high. Households with one and more than one severe COVID-19 increased the risk of CHE by more than two-times and three-times respectively [AOR = 2.67 (1.27-5.58); AOR = 3.18 (1.49-6.81)]. CONCLUSION: COVID-19 severity increases household OOPE and CHE. Strengthening the public healthcare and health insurance with higher health financing is indispensable for financial risk protection of households with severe COVID-19 from CHE.

Impact of social deprivation on clinical outcomes of adults hospitalised with community-acquired pneumonia in England: a retrospective cohort study.

INTRODUCTION: Socioeconomic deprivation has been associated with an increased incidence of infection and poorer clinical outcomes during influenza pandemics and the COVID-19 pandemic. The aim of this study was to determine the relationship between deprivation and adverse clinical outcomes following hospital admission with community-acquired pneumonia (CAP), specifically 30-day all-cause mortality and non-elective hospital readmission. METHODS: Data from the British Thoracic Society national CAP audit on patients admitted to hospital with CAP in England between 1 December 2018 and 31 January 2019 were linked to patient-level Hospital Episode Statistics data and Index of Multiple Deprivation (IMD) scores. Multivariable logistic regression models were used to examine the association between deprivation and (a) 30-day mortality and (b) 30-day readmission with p values for trend reported. Age was examined as a potential effect modifier on the effect of IMD quintile on mortality and subsequent subanalysis in those <65 and ≥65 years was performed. RESULTS: Of 9165 adults admitted with CAP, 24.7% (n=2263) were in the most deprived quintile. No significant trend between deprivation and mortality was observed (p trend=0.38); however, the association between deprivation and mortality differed by age group. In adults aged<65 years, 30-day mortality was highest in the most deprived and lowest in the least deprived quintiles (4.4% vs 2.5%, aOR 1.83, 95% CI 0.84 to 4.0) with a significant trend across groups (p trend=0.04). Thirty-day readmission was highest in the most deprived quintile (17.1%) with a significant p trend across groups (p trend 0.003). Age-adjusted odds of readmission were highest in the most deprived compared with the least deprived (aOR 1.41, 95% CI 1.16 to 1.73). CONCLUSIONS: In adults aged<65 years hospitalised with CAP in England, mortality varied inversely with indices of social deprivation. There was also a significant association between deprivation and 30-day readmission. Strategies are required to decrease health inequalities in pneumonia mortality and hospital readmissions associated with deprivation.

The association of demographic and socioeconomic factors with COVID-19 during pre- and post-vaccination periods: A cross-sectional study of Virginia.

Sociodemographic factors have been found to be associated with the transmission of coronavirus disease 2019 (COVID-19), yet most studies focused on the period before the proliferation of vaccination and obtained inconclusive results. In this cross-sectional study, the infections, deaths, incidence rates, case fatalities, and mortalities of Virginia's 133 jurisdictions during the pre-vaccination and post-vaccination periods were compared, and their associations with demographic and socioeconomic factors were studied. The cumulative infections and deaths and medians of incidence rates, case fatalities, and mortalities of COVID-19 in 133 Virginia jurisdictions were significantly higher during the post-vaccination period than during the pre-vaccination period. A variety of demographic and socioeconomic risk factors were significantly associated with COVID-19 prevalence in Virginia. Multiple linear regression analysis suggested that demographic and socioeconomic factors contributed up to 80% of the variation in the infections, deaths, and incidence rates and up to 53% of the variation in the case fatalities and mortalities of COVID-19 in Virginia. The demographic and socioeconomic determinants differed during the pre- and post-vaccination periods. The developed multiple linear regression models could be used to effectively characterize the impact of demographic and socioeconomic factors on the infections, deaths, and incidence rates of COVID-19 in Virginia.

Considering social inequalities in health in COVID-19 response: insights from a French case study.

The COVID-19 pandemic highlighted the impact of social inequalities in health (SIH). Various studies have shown significant inequalities in mortality and morbidity associated with COVID-19 and the influence of social determinants of health. The objective of this qualitative case study was to analyze the consideration of SIH in the design of two key COVID-19 prevention and control interventions in France: testing and contact tracing. Interviews were conducted with 36 key informants involved in the design of the intervention and/or the government response to the pandemic as well as relevant documents (n = 15) were reviewed. We applied data triangulation and a hybrid deductive and inductive analysis to analyze the data. Findings revealed the divergent understandings and perspectives about SIH, as well as the challenges associated with consideration for these at the beginning stages of the pandemic. Despite a shared concern for SIH between the participants, an epidemiological frame of reference dominated the design of the intervention. It resulted in a model in which consideration for SIH appeared as a complement, with a clinical goal of the intervention: breaking the chain of COVID-19 transmission. Although the COVID-19 health crisis highlighted the importance of SIH, it did not appear to be an opportunity to further their consideration in response efforts. This article provides original insights into consideration for SIH in the design of testing and contact-tracing interventions based upon a qualitative investigation.

The COVID-19 pandemic has highlighted the importance of social inequalities in health (SIH) and the disproportionate burden of the pandemic and its consequences related to socioeconomic status, ethnicity and race, among other determinants of health. Public health interventions are likely to increase SIH when they are not considered in the design phase. Through a qualitative case study, we analyzed the design of one of the first local initiative providing testing and contact tracing offer to the general population in the Île-de-France region (Paris region, France) in response to the COVID-19 pandemic. This article discusses the uncertainty and challenges associated with consideration for SIH in the intervention design. It explores the diverse understandings of SIH among the actors and the complexities of cross-sectoral partnerships addressing SIH in times of health crisis. Despite a consensual concern for this issue among the respondents, an epidemiological frame of reference dominated the intervention design. It resulted in a model in which consideration for SIH appeared as a complement, with a clinical goal of the intervention: breaking the chain of COVID-19 transmission.