Who wears the face mask? Preventive measures against COVID-19 in Latin America before vaccination.

OBJECTIVES: We analyze the profile of adults who used a mask in the context of the COVID-19 pandemic in Latin America, between October and November 2020, right before the mass vaccination campaigns. STUDY DESIGN: Based on the Latinobarometer 2020 data, we assess the individual, regional, cultural and political factors of people who used a mask in the context of the COVID-19 pandemic in 18 countries of Latin America. METHODS: We applied a logistic regression to model the probability of using the mask regularly to avoid being infected with the COVID-19 virus. RESULTS: Women, older people, those with higher education, those being employed and not working in temporarily jobs, retirees, students, people with a centrist political ideology, and Catholics had a higher chance of using a face mask on a regular basis. People living in Venezuela, Chile, Costa Rica and Brazil were the most likely to use face masks. CONCLUSION: These results highlight the need to understand the social forces behind the willingness to adopt non-pharmacological preventive measures to make them more effective in health crisis emergencies.

Association of socio-economic deprivation with COVID-19 incidence and fatality during the first wave of the pandemic in Italy: lessons learned from a local register-based study.

BACKGROUND: COVID-19 has been characterised by its global and rapid spread, with high infection, hospitalisation, and mortality rates worldwide. However, the course of the pandemic showed differences in chronology and intensity in different geographical areas and countries, probably due to a multitude of factors. Among these, socio-economic deprivation has been supposed to play a substantial role, although available evidence is not fully in agreement. Our study aimed to assess incidence and fatality rates of COVID-19 across the levels of socio-economic deprivation during the first epidemic wave (March-May 2020) in the Italian Province of Foggia, Apulia Region. METHODS: Based on the data of the regional active surveillance platform, we performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia, Italy, from March 1st to May 5th, 2020. Geocoded addresses were linked to the individual Census Tract (CT) of residence. Effects of socio-economic condition were calculated by means of the Socio-Economic and Health-related Deprivation Index (SEHDI) on COVID-19 incidence and fatality. RESULTS: Of the 1054 confirmed COVID-19 cases, 537 (50.9%) were men, 682 (64.7%) were 0-64 years old, and 338 (32.1%) had pre-existing comorbidities. COVID-19 incidence was higher in the less deprived areas (p < 0.05), independently on age. The level of socio-economic deprivation did not show a significant impact on the vital status, while a higher fatality was observed in male cases (p < 0.001), cases > 65 years (p < 0.001), cases having a connection with a nursing home (p < 0.05) or having at least 1 comorbidity (p < 0.001). On the other hand, a significant protection for healthcare workers was apparent (p < 0.001). CONCLUSIONS: Our findings show that deprivation alone does not affect COVID-19 incidence and fatality burden, suggesting that the burden of disease is driven by a complexity of factors not yet fully understood. Better knowledge is needed to identify subgroups at higher risk and implement effective preventive strategies.

Are they still determining? Analysis of associations among ethnicity, gender, socioeconomic status, neighborhood factors, and COVID-19 vaccination

Introduction: This study explores associations among adult vaccination, ethnicity, gender, and socioeconomic variables such as educational attainment and income, as well as neighborhood factors. Methods: A telephone quota sample of New Jersey adults (N = 1,984) was used to text associations among proposed predictors of vaccination behaviors. Results: Our multivariate logistic regression analyses found that certain races/ethnicity, respondents' household income, and perceived safety of one's community were the strongest predictors of COVID-19 vaccination. The odds of COVID-19 vaccination were 52% lower for Black/African American respondents compared to white/Caucasian respondents (p = 0.001) and 44% lower for Hispanic/Latino respondents compared to white/Caucasian respondents (p = 0.001). Discussion: The results add new insights to public health communication research and suggest careful interventions across racial groups, considering existing racial disparities in vaccination. Copyright © 2023 Kim, Hong and Kim.

Rapid rise in COVID-19 among young people in England - learning for the future.

OBJECTIVES: We determined the age and sociodemographic distribution of COVID-19 cases between January and September 2020 to identify the group with the highest incidence rates at the beginning of the second wave in England. STUDY DESIGN: We undertook a retrospective cohort study design. METHODS: SARS-CoV-2 cases in England were linked with area-level socio-economic status indicators using quintiles of the Index of Multiple Deprivation (IMD). Age-specific incidence rates were stratified by IMD quintile to further assess rates by area-level socio-economic status. RESULTS: Between July and September 2020, SARS-CoV-2 incidence rates were highest amongst those aged 18-21 years, reaching rates of 213.9 (18-19 years) and 143.2 (20-21 years) per 100,000 population by week ending 21 September 2022. Stratification of incidence rates by IMD quintile evidenced that despite high rates observed in the most deprived areas of England amongst the very young and older age groups, the highest rates were observed in the most affluent areas of England amongst the 18- to 21-year-olds. CONCLUSIONS: The reversal of sociodemographic trend in COVID-19 cases in England for those aged 18-21 years at the end of the summer of 2020 and beginning of the second wave showed a novel pattern of COVID-19 risk. For other age groups, the rates remained highest for those from more deprived areas, which highlighted persisting inequalities. Combined, this demonstrates the need to reinforce awareness of COVID-19 risk for young people, particularly given the late inclusion of the 16-17 years age group for vaccination administration, as well as continued efforts to reduce the impact of COVID-19 on vulnerable populations.

Evidence of mental health-related morbidities and its association with socio-economic status among previously hospitalized patients with symptoms of COVID-19 in Bangladesh.

Introduction: The long-term impact of COVID-19 on mental health, particularly in relation to socio-economic vulnerabilities, has received little attention. This study reports the prevalence of mental health-related symptoms among previously hospitalized patients after recovery from COVID-19, and its association with socio-economic status (SES). Methods: Data collection of this cross-sectional study was conducted during February-April 2021, among previously hospitalized patients with COVID-19 like symptoms, on average six months after their discharge from the hospital. Using DASS-21, a validated scale to document symptoms of depression, anxiety, and stress, information on mental health-related symptoms were recorded from 481 respondents along with sociodemographic and economic information through telephone interviews. Chi-square tests were performed to identify significant group differences. Multinomial logistic regression analyzed the association between the changes in socioeconomic characteristics and mental health-related symptoms. Relative index of inequality (RII), slope index of inequality (SII), and concentration index (CIX) were applied to capture relevant inequalities in relation to mental health-related symptoms. Results: Eleven percent of the respondents reported changes in employment status, nearly half changes in income and expenditure. Forty-five percent reported symptoms of depression, anxiety and/or stress, and 12% reported coexistence of all three symptoms. Women [Adjusted Odds Ratio, AOR: 2.95; 95% Confidence Interval, CI: 1.39-5.68], and those who reported changes in occupation [AOR: 3.04; 95% CI: 1.01-9.08] and expenditure [AOR: 2.46; 95% CI: 1.12-5.37] were more likely to report all three mental health-related symptoms compared to men and those without changes in occupation and expenditure. The older age group was less likely [AOR: 0.96; 95%CI: 0.93-0.99] to report coexistence of all three symptoms compared to their younger counterparts. Negative values of concentration index (CIX) indicate that any one mental health-related symptom was significantly concentrated among those with lower expenditure and poor SES. Conclusion: This study will help in addressing mental health-related challenges after recovery from COVID-19 among the identified vulnerable groups through relevant community-based and clinical response, including counseling services, in Bangladesh and similar LMIC contexts.

[Text-mining of children's answers to national web-survey questions on parental status during COVID-19].

Objectives　Behavior at school has been restricted due to infection control during the COVID-19 pandemic. This study aimed to clarify children's opinions by examining the structure of their text responses to open-ended web survey questions, as well as how they differed to the psychological and socio-economic status of their parents.Method　From September to October 2020, approximately six months after the temporary closure of schools in Japan due to COVID-19, 2,111 respondents (elementary, junior high, and high school students) answered a questionnaire on "The third wave of CORONA-CODOMO project" website. The text data of 1,140 students who provided free-text answers to open-ended questions such as, "what are you concerned about and what do you want to say?" (comments) and "how should I get them to understand?" (proposals) were analyzed. Results were stratified by parental demographics such as age, employment status, the Kessler Psychological Distress Scale (K6), and financial status. The text mining assessed the frequency of word appearances, analyzed characteristic words, and showed a term network (word-relationship diagram).Results　The total number of lines (number of respondents) of comments and proposal texts were 531 and 1,017, respectively, and the average line length (number of characters) was 21.5 and 31.5, respectively. In the dependency relations frequency analysis, the actions of proposals and comments such as "speaking-listening", "event-disappearing", and "mask-removing" appeared. In the word network, words such as "moving" and "speaking" formed a strong co-occurrence network to "I", which had the largest node in proposals, while "COVID-19" in the comments strongly co-occurred with "end+?" (predicate attribute: question) and "I+want to disappear" (predicate attribute: aspirations). According to the parent attributes, in the proposals, the characteristic words (complementary similarity measure) were "talk" (35.9) in the employed group, "talk" (26.6) in the K6 lower score group, and "understand+not" (23.5/17.3, predicate attribute: negation) in the K6 higher score group/bad economic status. In the comments, it was "COVID-19" (28.1, 27.5) in the employed group and the high mental health group.Conclusions　While children displayed discomfort and fear of COVID-19 when asked about proposals, the children were willing to talk directly, also, they wanted someone to listen to them. The characteristics of the proposals in their answers were "I don't know" in both the high mental burden group and the bad economic status group of the parents.

Socioeconomic differences in COVID-19 infection, hospitalisation and mortality in urban areas in a region in the South of Europe.

BACKGROUND: To analyse differences in confirmed cases, hospitalisations and deaths due to COVID-19 related to census section socioeconomic variables.  METHODS: Ecological study in the 12 largest municipalities in Andalusia (Spain) during the first three epidemic waves of the COVID-19 (02/26/20-03/31/21), covering 2,246 census sections (unit of analysis) and 3,027,000 inhabitants. Incidence was calculated, standardised by age and sex, for infection, hospitalisation and deaths based on average gross income per household (AGI) for the census tracts in each urban area. Association studied using a Poisson Bayesian regression model with random effects for spatial smoothing. RESULTS: There were 140,743 cases of COVID-19, of which 12,585 were hospitalised and 2,255 died. 95.2% of cases were attributed to the second and third waves, which were jointly analysed. We observed a protective effect of income for infection in 3/12 cities. Almeria had the largest protective effect (smoothed relative risk (SRR) = 0.84 (0.75-0.94 CI 95%). This relationship reappeared with greater magnitude in 10/12 cities for hospitalisation, lowest risk in Algeciras SRR = 0.41 (0.29-0.56). The pattern was repeated for deaths in all urban areas and reached statistical significance in 8 cities. Lowest risk in Dos Hermanas SRR = 0.35 (0.15-0.81). CONCLUSIONS: Income inequalities by geographical area were found in the incidence of COVID-19. The strengths of the association increased when analysing the severe outcomes of hospitalisations and, above all, deaths.

Impact of Work from Home During Covid-19 on the Socio-economic Status of India

Socioeconomic status (SES) is an instrument to measure the economic and social status of an individual or an economy concerning others. Though, Socioeconomic status is more commonly used to represent an economic difference in any society. Work from home is now a day (Covid-19) contributing to the nation for its socio-economic activities. This paper has examined the impact of ‘work from home' on the socio-economic status of India as so many people became unemployed, the income of the society decreased as well as the Education system was worse affected. The present situation of the pestilence provided great importance to work from home (WFH) for many employees to have the opportunity to both carries on working and safely from the risk of virus vulnerability. As this Pandemic period is uncertain, working from home is more acceptable as the new normal working way. On the contrary, to find the impact of WFH on socioeconomic status, we took three variables: education, employment, and income & wealth. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Impact of post-COVID-19 on the elderly-emotional stress and effects: A data science approach

Considering the current level of the majority of people affected by the COVID-19 pandemic in public, there seem to be lengthy financial and psychiatric consequences. Depression is a significant psychological condition among the aged, affecting their well-being. The goal of this research is to investigate the levels of tension and related variables in older adults. These could result in severe emotional and physiological abnormalities, including PTSD (post-traumatic stress disorder), stress, nervousness, suicidal tendencies, and behavioral issues. Isolation, disinformation on social networking sites, financial instability, and discrimination are all possible causes. Because medical practitioners are at significantly higher risk of getting PTSD and exhaustion, it is critical to study and investigate the effects and drivers to avoid, recognize, and control these disorders. Providing customer service for nervous people, videoconferencing, internet networking & assistance communities, promoting relaxation, investigating psychiatric repercussions, and designing and implementing appropriate therapies are relevant diagnoses. © 2022 Nova Science Publishers, Inc. All rights reserved.

The impact of the COVID-19 pandemic on primary school students’ mathematical reasoning skills: a mediation analysis

The present research aimed to reveal how the COVID-19 pandemic influenced the mathematical reasoning of primary school students through mediation analysis. It was designed as ex post facto research. The research sample consisted of two cohorts. Cohort 1 included 415 primary school children who received face-to-face instruction by attending school for six months until COVID-19 emerged. Cohort 2 included 964 children who were taught curricular skills through distance education due to COVID-19 and school closures. In total, 1,379 primary school children were recruited into the research sample. Data were collected through a mathematical reasoning test by sending items from the instrument via Google Docs. The data were analysed with mediation analysis. Results demonstrated that the school closures due to the COVID-19 pandemic negatively influenced mathematical reasoning skills. Findings are discussed in the light of human interaction and Cattell’s intelligence theory. © 2022, Kerem Coskun and Cihan Kara.

The future of Mango farmers post COVID-19 pandemic outbreak: The Household Livelihood Resilience Approach

The future and welfare of mango farmers are important and if mango farmers can apply agribusiness behavior, namely perseverance, resilience, hard work, saving, carefulness, discipline, and respecting time, they stand a better chance of survival during a pandemic. How mango farmers’ livelihood will be going forward is, yet unknown since many aspects such as economic, physical, financial, and human factors of their way of earning a living are affected hugely by Covid-19. This study was conducted to determine the socio-economic nature of mango farmers in Vhembe district Limpopo province, determine the livelihoods of mango farmers after the Covid-19 pandemic, and identify challenges that mango farmers encountered during the Covid-19 pandemic. Descriptive statistics and household were employed to help analyze the results from the collected data. In the study area, 77% of the farmers were males and pensioners since they were above the age of 60. Currently, mango farmers are highly impacted by the outbreak of Covid-19 in terms of production and marketing their products, thus these changes in their livelihood and their survival in farming are in the line since 54% of the farmers currently have access to loans, which makes it easy for them to cover for their loss of income. The government should ease up other restrictions on farmers to enable them to farm and issue necessary support to those farmers who have lost the least they had due to Covid-19. Concerning access to information about Covid-19, the results of the study posit the significance of the relationship between finance and human capital, which the study recommended that the government should subsidize the farmers. © 2022, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.

Socio-economic determinants of SARS-CoV-2 infection: Results from a population-based cross-sectional serosurvey in Geneva, Switzerland.

Background: SARS-CoV-2 infection and its health consequences have disproportionally affected disadvantaged socio-economic groups globally. This study aimed to analyze the association between socio-economic conditions and having developed antibodies for-SARS-CoV-2 in a population-based sample in the canton of Geneva, Switzerland. Methods: Data was obtained from a population-based serosurvey of adults in Geneva and their household members, between November and December, 2020, toward the end of the second pandemic wave in the canton. Participants were tested for antibodies for-SARS-CoV-2. Socio-economic conditions representing different dimensions were self-reported. Mixed effects logistic regressions were conducted for each predictor to test its association with seropositive status as the main outcome. Results: Two thousand eight hundred and eighty-nine adults completed the study questionnaire and were included in the final analysis. Retired participants and those living in suburban areas had lower odds of a seropositive result when compared to employed participants (OR: 0.42, 95% CI: 0.20-0.87) and those living in urban areas (OR: 0.67, 95% CI: 0.46-0.97), respectively. People facing financial hardship for less than a year had higher odds of a seropositive result compared to those who had never faced them (OR: 2.23, 95% CI: 1.01-4.95). Educational level, occupational position, and household income were not associated with being seropositive, nor were ethnicity or country of birth. Discussion: While conventional measures of socio-economic position did not seem to be related to the risk of being infected in this sample, this study sheds lights on the importance of examining the broader social determinants of health when evaluating the differential impact of the pandemic within the population.

Pre-pandemic socio-economic status and changes in employment during the first lockdown (2020) on the health of middle-aged people in England: a longitudinal study.

BACKGROUND: The COVID-19 pandemic markedly disrupted people's lives. It caused higher mortality and morbidity amongst individuals from poorer socio-economic position (SEP). It is well-recognised that job loss has a negative impact on health. We hypothesised that health effects of the pandemic on middle-aged people might be different depending on SEP and changes in employment. METHODS: Data are from the Health and Employment After Fifty (HEAF), a cohort recruited 2013-2014 when aged 50-64 through 24 English general practices. At baseline and annually since, participants completed a questionnaire reporting about demographics, employment, health, lifestyle, and finances. In 2021 we sent an e-survey to all contactable HEAF participants, asking about effects of the first lockdown (March-July 2020). Outcomes were participants' perception of worsening of mental, physical health, and self-rated health (SRH) since lockdown. Associations between SEP, COVID-19 related employment changes and health were explored with Poisson regression with robust standard error, with adjustment for age, sex, and pre-pandemic SRH. RESULTS: In total, 2,469 (53%) returned a usable questionnaire, amongst whom 2,344 provided complete information for these analyses (44% men, mean age 65.7 years). Worsening of mental, physical or SRH since lockdown was reported by 21%, 27% and 17% respectively. Mutually adjusted models showed that reporting struggling financially pre-pandemic (versus living comfortably) was associated with an increased risk of deterioration in: mental (RR = 2.0, 95%CI 1.7-2.5), physical health (RR = 2.0, 95%CI 1.6-2.3), and SRH (RR = 1.6, 95%CI 1.2-2.1). Participants working from home during lockdown and those who lost their job (as opposed to those with unchanged employment) were at increased risk of reporting deterioration in mental health and SRH. CONCLUSION: In a cohort of older workers, working from home, job loss and poorer pre-pandemic SEP were all associated with worsening of mental health and SRH since lockdown.

A Comparison of the Academic Performance of Rising Scholars with Other Student Demographic Groupings before and during the COVID Pandemic

The Purdue University Rising Scholars program was established in 2016 by a NSF grant designed to examine the effect of adult mentor support networks on student performance. The first students began classes in the fall of 2017, and their performance and many aspects of the program have been reported in the literature. Unfortunately, during this same time period, the COVID-19 pandemic moved across the globe and dramatically changed collegiate education. The effects of the pandemic in education will be felt for some time following the eventual demise of the virus. Because of this NSF grant period, the research team was uniquely positioned with matched pair sets of matriculating students from the Rising Scholars program, engineering, and exploratory studies. This paper will compare the performance of these students and the general student population for GPA and retention between the pre-COVID period (< spring of 2020) and the COVID period (spring 2020 onward). It is commonly perceived among collegiate instructors that student performance has suffered during the pandemic. The Rising Scholar demographic has the potential to have increased adverse effects from the pandemic disruption, but they also have an established adult mentor support network. The researchers have looked at differential performance outcomes between the various groups and exposed a tendency toward diminished performance with thinner networked students. Sample sizes were too small for the evaluation of any meaningful statistical tests. © 2022 ASABE. All Rights Reserved.

Changes in food-related costs during the COVID-19 pandemic among families managing food allergy.

Background: The COVID-19 pandemic has affected the supply, cost, and demand for certain foods, but it is not clear how these changes have affected food-allergic households. Objective: To describe the changes in food-related costs that have followed COVID-19, as reported by higher- and lower-income households with a food-allergic member. Methods: Between May 1-June 30, 2020, Canadian households, with at least one food-allergic member, completed an online survey on food shopping and preparation habits before and during the COVID-19 pandemic. The sample was divided into binary groups, either higher or lower than the sample median income. Data were analyzed using descriptive statistics and multiple regression. Results: The sample was comprised of 102 participants (i.e., 51/ income group). The three most common food allergies amongst both groups were peanuts, tree nuts and milk. Since the start of the pandemic, both groups reported greater monthly direct grocery costs, although costs amongst the higher-income group were twice as high as the lower-income group ($212.86 vs. $98.89, respectively). Indirect food preparation costs were similarly elevated. Higher-income households with food procurement difficulties reported increased indirect shopping costs following the outbreak of COVID-19, whereas those without such difficulties reported decreased costs. Lower-income households with allergies to milk, wheat, or eggs (i.e., staple allergy) experienced a larger change in indirect food preparation costs following the outbreak of COVID-19 relative to those with other food allergies ($244.58 vs. -$20.28, respectively; p = 0.03). Conclusion: Both higher and lower income households with food allergy reported greater direct food costs and indirect food preparation costs following the COVID-19. Households with staple allergy and those with difficulties finding their typical food items were particularly affected.

Classification of COVID-19 Disease Severity using CT Scans via Deep Convolutional Neural Networks

The respiratory virus Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), commonly known as COVID-19, has caused wide concern and a need to be able to accurately determine its effects on individual lung capacities. Computerized Tomography (CT) scans were chosen as the main datatype for determining whether a patient had COVID-19 or had normal lung capacities. The rationale is that there is an inherent lack of CT scan experts, especially in counties with low socio-economic status (SES). Thus, an automated and objective artificially intelligent (AI) algorithm can assist in the hope to provide more efficacious use CT scans for classification of COVID-19 and monitoring of disease progression. In this study, a wide variety of CT scans with different formats were tested to determine the best approach for binary classification models using deep learning (DL) techniques. A total of three publicly available COVID-19 datasets were tested using a 2-dimensional and a 3-dimensional algorithm, where each dataset had its own subsets and unique parameters. A finalized version of the 3-dimensional model was shown to achieve a high accuracy, precision, sensitivity, and F1 Score of 86.6% each. The developed method provides an objective measure to automatically classify COVID-19 patients from CT scans © 2022 IEEE.

Multidimensional Determinants of Well-Being Among Community-Dwelling Older Adults During the Early Stage of the COVID-19 Pandemic in Taiwan.

Objectives: Due to the insufficient and inadequate policies on the psychological well-being of the aged population, we aimed to examine the multidimensional determinants of well-being during the early stage of the COVID-19 pandemic. Method: Data were collected from face-to-face interviews with1,232 participants aged 50 and older living in Southern Taiwan. We used multivariate logistic regression to examine the associations between demographics, the physical health, mental health, social ties domains, and well-being. Results: We found that (i) in physical health, no dental problems and exercise were related to better well-being; (ii) in mental health, stress and depression decreased well-being, but laughing every day, and a positive attitude toward aging had adverse effects; and (iii) in social ties, subjective social status, family support, and place attachment to the community were positively associated with well-being. Discussion: Our findings highlight the multidimensional needs at the individual and community levels for the Chinese population.

One Year after the COVID-19 Pandemic in the city of Guayaquil: Evidence of Municipal Response and the Socio-economic Impact

The objective of this article is to monitor the socio-economic impact of COVID-19 on the most vulnerable areas of Guayaquil one year after the start of the pandemic and to point out areas that remain vulnerable for future social linkage projects. The survey was used for the "EPICO-ECOTEC" Project, validated by expert judgment and the average score using Cronbach's alpha. Additionally, a description of the questions and contingency tables were made for better proactive decisions. In this way, this article recommends developing a System of Public Policies from the local level to face the consequences of inequity and the problems of sustainable human development due to COVID-19.

The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study.

BACKGROUND: Due to its large impact on human health, socio-economic status (SES) could at least partially influence the established association between obesity and coronavirus disease 2019 (COVID-19) severity. To estimate the independent effect of body size and SES on the clinical manifestations of COVID-19, we conducted a Mendelian randomization (MR) study. METHODS: Applying two-sample MR approaches, we evaluated the effects of body mass index (BMI, n = 322 154), waist circumference (WC, n = 234 069), hip circumference (n = 213 019) and waist-hip ratio (n = 210 088) with respect to three COVID-19 outcomes: severe respiratory COVID-19 (cases = 8779, controls = 1 000 875), hospitalized COVID-19 (cases = 17 992, controls = 1 810 493) and COVID-19 infection (cases = 87 870, controls = 2 210 804). Applying a multivariable MR (MVMR) approach, we estimated the effect of these anthropometric traits on COVID-19 outcomes accounting for the effect of SES assessed as household income (n = 286 301). RESULTS: BMI and WC were associated with severe respiratory COVID-19 [BMI: odds ratio (OR) = 1.51, CI = 1.24-1.84, P = 3.01e-05; WC: OR = 1.48, 95% CI = 1.15-1.91, P = 0.0019] and hospitalized COVID-19 (BMI: OR = 1.50, 95% CI = 1.32-1.72, P = 8.83e-10; WC: OR = 1.41, 95% CI = 1.20-1.67, P = 3.72e-05). Conversely, income was associated with lower odds of severe respiratory (OR = 0.70, 95% CI = 0.53-0.93, P = 0.015) and hospitalized COVID-19 (OR = 0.78, 95% CI = 0.66-0.92, P = 0.003). MVMR analyses showed that the effect of these obesity-related traits on increasing the odds of COVID-19 negative outcomes becomes null when accounting for income. Conversely, the association of income with lower odds of COVID-19 negative outcomes is not affected when including the anthropometric traits in the multivariable model. CONCLUSION: Our findings indicate that SES contributes to the effect of obesity-related traits on COVID-19 severity and hospitalization.

High rates of impaired quality of life and social and economic problems at 6 months after COVID-19-related ARDS.

PURPOSE: Assess long-term quality of life (HR-QoL) and socio-economic impact in COVID-19-related ARDS (C-ARDS) survivors. METHODS: C-ARDS survivors were followed up at 6 months in this prospective, cohort study. HR-QoL was assessed using SF-36 and EQ-5D-5L, and the socio-economic burden of COVID-19 was evaluated with a dedicated questionnaire. Clinical data were prospectively recorded. RESULTS: Seventy-nine survivors, age 63 [57-71], 84% male, were enrolled. The frequency of EQ-5D-5L reported problems was significantly higher among survivors compared to normal, in mobility, usual activities, and self-care; anxiety and depression and pain were not different. SF-36 scores were lower than the reference population, and physical and mental summary scores were below normal in 52% and 33% of the subjects, respectively. In the multivariable analysis, prolonged hospital length of stay (OR 1.45; p 0.02) and two or more comorbidities on admission (OR 7.42; p 0.002) were significant predictors of impaired "physical" and "mental" HR-QoL, respectively. A total of 38% subjects worsened social relations, 42% changed their employment status, and 23% required personal care support. CONCLUSIONS: C-ARDS survivors have long-term impairment in HR-QoL and socio-economic problems. Prolonged hospital stay and previous comorbidities are risk factors for developing health-related issues.