The Effect of Sociodemographic Factors on COVID-19 Mortality in Costa Rica: A Geographic Approach

Introduction: The coronavirus disease (COVID-19) has spread among the population of Costa Rica and has had a great global impact. However, there are important geographic differences in mortality from COVID-19 among world regions and within Costa Rica.Objective: To explore the effect of some sociodemographic factors on COVID-19 mortality in the small geo-graphic divisions or cantons of Costa Rica.Methods: We used official records and applied a classical epidemiological Poisson regression model and a geographically weighted regression model.Results: We obtained a lower Akaike Information Criterion with the weighted regression (927.1 in Poisson regression versus 358.4 in weighted regression). The cantons with higher risk of mortality from COVID-19 had a denser population;higher material well-being;less population by health service units and are located near the Pacific coast.Conclusions: A specific COVID-19 intervention strategy should concentrate on Pacific coast areas with denser population, higher material well-being and less population by health service units.

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.

Factors Associated with Psychiatric Morbidity among Patients who tested Positive and Isolated for COVID-19

ABSTRACT Objective: To look for the psychiatric morbidity and associated socio-demographic factors among patients who tested positive and isolated for COVID-19. Study Design: Cross-sectional study. Place and Duration of Study: Combined Military Hospital, Malir Pakistan, from Mar to May 2020. Methodology: All patients who tested positive for COVID-19 and were admitted to the COVID-19 Ward without complications were included in the study. General Health Questionnaire-12 (GHQ-12) was administered to look for the presence of psychiatric morbidity. Results: Out of 61 patients included in the study, 45(73.7%) showed the presence of psychiatric morbidity, while 16(26.3%) did not show psychiatric morbidity when screened with GHQ-12. 43(70.4%) were male, while 18(29.6%) were female. The mean age of the patients was 35.21±2.355 years. The advanced age and female gender have a statistically significant relationship (p-value<0.05) with the presence of psychiatric morbidity among patients of COVID-19. Conclusion: Many patients had psychiatric morbidity after being tested positive for COVID-19 and were isolated in the health facility. Female patients and patients aged more than 40 years were found to be more at risk of developing psychiatric morbidity among the patients admitted to COVID-19 ward.

Patient satisfaction with oncological care during the virus pandemic - SARS-CoV-2 taking into account social and demographic factors.

INTRODUCTION AND OBJECTIVE: The aim of the study was to examine the perception of medical services by oncological patients during the pandemic, identifying the key factors influencing it. The assessment of patient satisfaction with the treatment and care provided by doctors and other hospital staff provides important information on the quality of health services. MATERIAL AND METHODS: The study involved 394 patients diagnosed with cancer treated as inpatients in five oncology departments. The diagnostic survey method was used with a proprietary questionnaire and the standardized EORTC IN-PATSAT32 questionnaire. Calculations were carried out using Statistica 10.0 with p≤0.05 s considered statistically significant. RESULTS: Overall patient satisfaction with cancer care was 80.77/100. Higher values were shown for the competences of nurses than for doctors, especially for their interpersonal skills (79.34 - nurses vs. 74.13 - doctors) and availability (80.11 - nurses vs. 75.6 - doctors). It was also shown that the level of satisfaction with cancer care increased with age; women rated cancer care lower than men (p = 0.031), particularly its aspect related to the competences of doctors. A lower degree of satisfaction was observed among rural residents (p=0.042). Other demographic data, such as marital status and education, determined satisfaction with cancer care on the selected scale although it did not affect the overall level of satisfaction. CONCLUSIONS: The analysed socio-demographic factors, primarily age, gender and place of residence, determined some of the scales concerning patient satisfaction with cancer care during the COVID-19 pandemic. The results of this and other studies of a similar profile should be used in the formation of health policy, particularly in implementing programmes to improve the quality of cancer care in Poland.

Factors Associated with Psychiatric Morbidity among Patients who tested Positive and Isolated for COVID-19

Objective: To look for the psychiatric morbidity and associated socio-demographic factors among patients who tested positive and isolated for COVID-19. Study Design: Cross-sectional study. Place and Duration of Study: Combined Military Hospital, Malir Pakistan, from Mar to May 2020. Methodology: All patients who tested positive for COVID-19 and were admitted to the COVID-19 Ward without complications were included in the study. General Health Questionnaire-12 (GHQ-12) was administered to look for the presence of psychiatric morbidity. Results: Out of 61 patients included in the study, 45(73.7%) showed the presence of psychiatric morbidity, while 16(26.3%) did not show psychiatric morbidity when screened with GHQ-12. 43(70.4%) were male, while 18(29.6%) were female. The mean age of the patients was 35.21±2.355 years. The advanced age and female gender have a statistically significant relationship (pvalue<0.05) with the presence of psychiatric morbidity among patients of COVID-19. Conclusion: Many patients had psychiatric morbidity after being tested positive for COVID-19 and were isolated in the health facility. Female patients and patients aged more than 40 years were found to be more at risk of developing psychiatric morbidity among the patients admitted to COVID-19 ward. © 2022, Army Medical College. All rights reserved.

First-Generation SARS-CoV-2 Vaccines: A Comparative Analysis between Vaccinated and Unvaccinated Hospitalized Patients Infected with SARS-CoV-2

Background Severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) variants, which have emerged due to several mutations in spike protein, have a potential to escape immune protection provided by the first-generation vaccines, thereby resulting in breakthrough infections. Objective To identify the socio-demographic factors, clinical features, and outcomes in both vaccinated and unvaccinated hospitalized patients infected with SARS-CoV-2. Method Socio-demographic details, clinical features, and the outcomes among fully vaccinated (double for Covishield/AstraZeneca and BBIBP-CorV and single for Janssen), partially vaccinated, and unvaccinated hospitalized patients with coronavirus disease of 2019 (COVID-19) were collected and analyzed using SPSS version 17. Result Among the hospitalized COVID-19 patients (n=299), 175 (58.5%) patients received a single-dose, 82 (27.4%) double-dose, and 124 (41.5%) did not receive any dose of the COVID-19 vaccines. The risk of SARS-CoV-2 infection when compared between vaccinated and unvaccinated patients was found to be associated among professional degree holders (23.4% versus 9.7%) (p<0.05), professional workers (43.4% vs. 25.0%) (p<0.05), hospitalization to general ward (76.6% vs. 72.6%) (p<0.05), and presence of multiple symptoms (>=3) (86.8% vs. 75.0%) (p>0.05) and comorbidities (>=2) (15.5% vs. 13.7%) (p>0.05). Despite such approximate incidences, the risk of in-hospital mortality among the vaccinated patients was reduced (0.6% vs. 3.2%) (p>0.05), when compared to the unvaccinated patients. The risk of in-hospital mortality was associated with the older age and the presence of multiple comorbidities including bronchial asthma, diabetes, and hypertension. Conclusion Full or partial vaccination against the SARS-CoV-2 variants of concerns might be effective in preventing in-hospital mortality among COVID-19 patients. Copyright © 2022, Kathmandu University. All rights reserved.

Analysis of the incidence and influencing factors of postpartum depression and anxiety: A cross-sectional study in Xinjiang from 2018 to 2021.

BACKGROUND: Postpartum depression(PPD) and anxiety(PPA) have become the one of major public health threats. However, the research evidence on PPD and PPA in Xinjiang is insufficient. This research reports the incidence of PPD and PPA in the past 4 years, and analyzes the impact of sociodemographic and obstetric factors on postpartum mental health. METHODS: The selected research objects are parturients who have undergone postpartum health check-ups in a tertiary hospital in Urumqi from January 2018 to September 2021. The study obtained the socio-demographic and obstetric information of the puerpera through general survey questionnaires, and used the PHQ-9 and GAD-7 scales to screen for PPD and PPA. Furthermore, after univariate analysis of related influencing factors of PPD and PPA, multiple binary logistic regression analysis was used to further explore the relationship between PPD and PPA and various influencing factors. RESULTS: A total of 7,703 parturients were included in this study. The incidence of PPD (PHQ-9 ≥ 10) was 9.7% in 2018, 11.1% in 2019, 13.3% in 2020, and 14.2% in 2021 (χ2 = 18.386, P < 0001). The incidence of PPA(GAD-7 ≥ 10) was 8.1% in 2018,8.6% in 2019, 11.4% in 2020, and 9.8% in 2021 (χ2 = 16.895, P = 0.001). The six factors that were statistically different after univariate analysis were included in the multivariate binary logistic regression analysis. The final results suggested that women who delivery in 2020 were 1.405 times (95%CI:1.145-1.723) more likely to suffer from depression than those who delivery in 2018 and 1.688 times (95%CI:1.237-2.303) than that in 2021. Compared with puerpera with formal jobs, the incidence of PPD among puerpera who were self-employed (AOR = 1.372,95%CI:1.085-1.735) or unemployed(AOR = 1.348,95%CI:1.137-1.599) was on the rise. Moreover, studies have shown that mixed feeding (AOR = 1.515,95%CI: 1.296-1.772) or artificial feeding (AOR = 1.736,95%CI: 1.299-2.321) 6 weeks postpartum was associated with a higher risk of depression, and puerpera who delivered female infants (AOR = 0.780, 95%CI: 0.626-0.971) were less likely to report depressive symptoms. Simultaneously, for PPA, women who delivered in 2020 were 1.418 times (95%CI: 1.065-1.887) more likely to suffer from anxiety than those who delivered in 2018. Women aged 18-29 years (AOR = 2.070,95%CI:1.229-3.487) were more likely to report PPA than those over the age of 29. Similarly, women who selected cesarean section delivery (AOR = 1.332,95%CI:1.087-1.632) were more likely to have PPA. Mixed feeding (AOR = 1.436,95%CI: (1.193-1.729) ) or artificial feeding (AOR = 1.742,95%CI: 1.243-2.441) at 6 weeks postpartum was associated with a higher risk of anxiety. While puerpera who delivered female infants (AOR = 0.746,95%CI: 0.567-0.982) were less likely to report anxiety symptoms. CONCLUSION: This study shows that in Xinjiang, the incidence of postpartum depression and anxiety was on the rise from 2018 to 2020, and although there was a slight decline in 2021, it was still higher than in 2019. Simultaneously, the proportion of overweight or obese, cesarean section, and non-breastfeeding women had increased year by year. Factors such as maternal age, occupation, mode of delivery, feeding pattern and neonatal gender may help to identify high-risk patients. Therefore, primary, secondary, and tertiary prevention should be given priority to reduce the incidence of postpartum depression and anxiety in high-risk groups.

Travel Intentions And Preferences Amid the Covid-19 Pandemic: the Case of Bulgaria

The paper deals with travel intentions and preferences of Bulgarian residents amid the pandemic as identified in a survey conducted online with 350 participants in April-May 2021. The analysis covers (1) intended frequency of different types of travel, (2) general travel preferences, and (3) specific preferences regarding the choice of accommodation. It also explores which demographic and social factors determine travel intentions and preferences during the pandemic. Both expected and unexpected findings are presented, with some wide-spread anticipations being challenged in a specific country context. Results show that people have become more restrained towards all types of travel, especially abroad and for business. However, in the case of Bulgaria the shift toward domestic tourism seems forced by external constraints rather than due to internal factors such as health risk perceptions of strong patriotic feelings. Of paramount importance for the travel choices of Bulgarian customers is the combination of economic and sanitary factors providing both financial and health safety. In contrast to most studies around the world, ‘pure’ health-related preferences associated with the level of COVID-19 contamination or vaccination are of relatively low significance. Age stands out as a major determinant of travel intentions and preferences while other socio-demographic factors are not clearly related to intended frequency of travel but do matter in terms of various travel preferences. © 2022 Transnational Press London

Case Fatality Rate of COVID-19 and its Relationship to Sociodemographic Characteristics in Ecuador, 2020.

Objective: To analyze sociodemographic factors' influence on COVID-19 case fatality rate (CFR) in Ecuador on a subnational level. Methods: Publicly available register-based observational study. A retrospective cohort of COVID-19 infections between epidemiological weeks 8-53 in the Ecuadorian public healthcare system was determined from available records. Statistical analyses were conducted to evaluate CFR trends according to factors such as sex, age, location, and healthcare provider. Results: Overall CFR was 9.4%; by canton, median CFR was 5.2%, with some cantons with much higher rates, like Santa Elena (39.1%). Overall CFR decreased during the period, from 16.6% (week 8) to 2.63% (week 53). Being in a rural area was an independent protective factor. Patients over 65 had a hazard ratio of 11.38 (95% CI [11.05, 11.72]). Sex, ethnicity, and treatment from public facilities were also associated with death risk. Conclusion: CFR is a proxy indicator of COVID-19 impact in Ecuador, and this location-based analysis provides new information on the disease's specific impact subnationally. Overall COVID-19 CFR during the entire period was high, suggesting the need to improve COVID-19 care in Ecuador.

Exploring spatially heterogeneous associations between COVID-19 cases and the influencing factors in England

Coronavirus pandemic (COVID-19), caused by the SARS-CoV-2 virus, has spread expeditiously around the world since early 2020 and led to a tremendous number of deaths, severely impacting overall human well-being. The pandemic largely affected economic and social activities. The beneficial way to slow down or prevent the transmission is to be well informed about the disease and how the virus spreads. Therefore, analyzing factors that affect the COVID-19 transmission was of great importance in disease control and policy decisions. Socio-demographic factors show considerable impacts on the rate of COVID-19 infection, but the correlations would vary both temporally and spatially. Generally, the global correlation coefficients of all variables rocketed at the beginning of the COVID-19 outbreak and plateaued at a high level eventually. Then localized correlations were also calculated to map the spatial distribution of correlation coefficients. Results show that in the north of England, all socio-demographic factors are highly related to the COVID-19 cases with figures above 0.75, arising from the climatic, cultural and economic differences. As time flowed for both 55+ age structure and GDP, the southern part experienced sustainable increases in correlation values, which eventually rose above 0.5 at most locations. This finding confirmed our expectation that the higher GDP was, the more COVID-19 cases were, since high GDP always accompanies by more entertainment activities and more chances for face-To-face human contact. However, the interesting point was that around London, the GDP maintained uncorrelated and even negatively correlated with the cumulative cases as time went by. As for the number of pubs, the overall spatial distribution of correlation coefficients experienced unremarkable changes at three-Time points. The variable was significantly correlated with COVID-19 cases in the north. In contrast, in the south values kept below 0.5. Overall, this study provides an interesting view on investigating the relative factors of the COVID-19 pandemic. © 2022 IEEE.

The Causes of Suicide and Its Socio-demographic Factors in the Philippines

The study aimed to find out the common causes of suicide in relation to socio-demographic factors in Cagayan de Oro (CDO), Philippines. Only secondary data were gathered which were already publicly published. Results revealed that the common causes of suicide were depression, family problem, financial problem, work pressure and the COVID-19 pandemic. The socio-demographic factors were age, sex, location, civil status and economic status (with or without employment). The highest percentage (37.18%) was due to depression followed by family problem (21.79%). The most number of suicide cases was found among males (82.05%) as compared to females (15.38%) and lesbian, gay, bisexual and transgender (LGBT) (2.56%). A total of 78.20% of cases came from urban part while only 21.80% were from rural area. Results revealed that the socio-demographic factors significantly predict the causes of suicide (p =.053). Among the factors, only the location had a significant coefficient (β = 1.41, p =.22) which indicated that the propensity of suicide cases were mostly at urban areas. The regression analysis identified were age, sex, location, and civil status as predictors of completed suicide cases. In conclusion, depression was the most common cause of suicide particularly among single individuals in the urban area © 2022, Pakistan Journal of Life and Social Sciences.All Rights Reserved.

Socio-Demographic Factors Affecting Food Security for Low-Income Household During the COVID-19 Pandemic in the Special Region of Yogyakarta

The COVID-19 pandemic has affected household food security, especially those with low incomes. This study aims to: (1) analyze the influence of socio-demographic factors (gender, age, mother’s education, marital status, occupation, dependents, income, and social assistance) on food security. (2) Measuring the level of food security of low-income families in the Special Region of Yogyakarta seen from the share of food expenditure, using a cross-sectional design and a quantitative approach and involved a sample of 250 low-income households, determined randomly by purposive sampling technique. We collected data through questionnaires, and the data were analyzed using descriptive statistical methods and multiple linear regression models using SPSS software. Three socio-demographic variables affect food security: employment, income, and the number of dependents. Simultaneously, these factors significantly affect the respondents’ food consumption expenditure. This study found that only 42.4% of respondents had food security. It shows that the current COVID-19 pandemic has exacerbated the poverty experienced by respondents. As for recommendations: (1) The government needs to provide social protection to help low-income households through food assistance programs. (2) Social protection programs need to be combined with household-based socio-economic empowerment programs to improve the food security of low-income households sustainably.

Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques.

The aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were "family", "anxiety", "house", and "life". Besides this finding, we also have shown that staff have a slightly less negative perception of the consequences of COVID-19 in their daily life. We have used artificial intelligence models such as swivel embedding and a multilayer perceptron as classification algorithms. The performance that was reached in terms of accuracy metrics was 88.8% and 88.5% for students and staff, respectively. The main conclusion of our study is that higher education institutions and policymakers around the world may benefit from these findings while formulating policy recommendations and strategies to support students during this and any future pandemics.

The Making and Breaking of Social Ties During the Pandemic. Socio-Economic Position, Demographic Characteristics, and Changes in Social Networks.

Contact restrictions and distancing measures are among the most effective non-pharmaceutical measures to stop the spread of the SARS-CoV2 virus. Yet, research has only begun to understand the wider social consequences of these interventions. This study investigates how individuals' social networks have changed since the outbreak of the pandemic and how this is related to individuals' socio-economic positions and their socio-demographic characteristics. Based on a large quota sample of the German adult population, we investigate the loss and gain of strong and weak social ties during the pandemic. While about one third of respondents reported losing of contact with acquaintances, every fourth person has lost contact to a friend. Forming new social ties occurs less frequently. Only 10-15% report having made new acquaintances (15%) or friends (10%) during the pandemic. Overall, more than half of our respondents did not report any change, however. Changes in social networks are linked to both socio-demographic and socio-economic characteristics, such as age, gender, education, and migration background, providing key insights into a yet underexplored dimension of pandemic-related social inequality.

Walking Behavior in Temuco, Chile: The Contribution of Built Environment and Socio-Demographic Factors.

The increase in active travel contributes to maintaining the minimum rate of physical activity and therefore has a positive impact on inhabitants' public health. The level of walking for daily transport has decreased significantly during the last decades in Temuco, Chile. This study examined the contribution of socio-demographic factors, active family environment, and built environment factors to walking behavior and walking level based on three types of destination in Temuco. The results of Encuesta Origin Destino (EOD 2013), geographic information system (GIS), and, finally, hierarchical multiple regression analysis were used to examine the objectives. Correlations were found between total walking behavior, walking level based on three destination types, and several socio-demographic factors such as age, gender, and access to TV and Internet. Furthermore, correlations were found between walking behavior and active family environment, as well as several built environment factors. For instance, the higher mixed land use as well as number of parks and plazas contribute towards more overall walking as well as two types of walking. Identifying that most persons who walk come from low-income families and the negative impact of network connectivity on overall walking are the major differences between this context and developed countries.

Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques

The aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were “family”, “anxiety”, “house”, and “life”. Besides this finding, we also have shown that staff have a slightly less negative perception of the consequences of COVID-19 in their daily life. We have used artificial intelligence models such as swivel embedding and a multilayer perceptron as classification algorithms. The performance that was reached in terms of accuracy metrics was 88.8% and 88.5% for students and staff, respectively. The main conclusion of our study is that higher education institutions and policymakers around the world may benefit from these findings while formulating policy recommendations and strategies to support students during this and any future pandemics.

The Effects of Media Encouragements on Coronavirus Vaccination Decision and Public Interest in Traveling Abroad

A lack of knowledge exists about individuals’ vaccination decisions and their relation to their tourism behaviors. In this regard, this study examines the willingness of international travelers to take a COVID-19 vaccine prior to traveling. A quantitative research design with a survey method and the ordinary least square (OLS) multiple regression analysis was used to test the hypotheses. The media encouragement positively affected the travelers’ attitude toward the behavior and their injunctive social norm, whereas the travelers’ attitude toward the behavior and injunctive social norm positively affected their COVID-19 vaccination intention. The regression results also proved the mediating effect of both attitudes toward the behavior and injunctive social norm in the relationship between media encouragement and COVID-19 vaccination intention. This research successfully provided evidence regarding the role of media encouragement in travelers’ willingness to take the COVID-19 vaccination.

Students' Adaptability Level Prediction in Online Education using Machine Learning Approaches

Online Education has become a buzzword since the COVID-19 hit the World. Most of the educational institutions went online to continue educational activities while developing countries like Bangladesh took a significant period of time to ensure online education at every education level. Students of several levels also faced many difficulties when they got introduced to online education. It is important for the decision-makers of educational institutions to be informed about the effectiveness of online education so that they can take further steps to make it more beneficial for the students. Our main motivation is to contribute to this matter by analyzing the relevant factors associated with online education. In this work, we have collected students' information of all three different levels(School, College, and University) by conducting both online and physical surveys. The surveys form consists of an individual's socio-demographic factors. To get an idea about the effectiveness of online education we have applied several machine learning algorithms named Decision Tree (DT), Random Forest (RF), Naive Bayes (NB), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and also Artificial Neural Network(ANN) on our dataset to predict the adaptability level of the students to online education. Among used algorithms, the Random Forest classifier achieved the best accuracy of 89.63% and outperformed other algorithms. © 2021 IEEE.

Relationship between Socio-Demographic Factors and Adherence to Social Distancing Recommendations During Covid-19 Pandemic in Gonabad, Iran: A Cross-Sectional Study.

Background: Adherence to social distancing recommendations provided by health authorities plays an important role in the prevention and control of COVID-19 transmission, regarding the lack of effective drug therapies. Therefore, this study aimed to identify the relationship between socio-demographic factors and adherence to social distancing recommendations during COVID-19 pandemic in Gonabad, Iran. Methods: In this cross-sectional study, 587 subjects aged 15 and older were selected using the convenience sampling method from urban and rural areas in Gonabad, Iran, from July to September 2020. Data were collected online using a socio-demographic characteristics form, the adherence to social distancing recommendations scale, and a coronavirus disease awareness survey. Subsequently, the obtained data were analyzed in SPSS software (version 16) using hierarchical linear regression. The statistical significance was considered as P<0.05. Results: 72.23% (95% confidence interval: 68.41%-75.82%) of the participants followed the recommendations of social distancing at the high level. Nevertheless, many differences were observed in the subgroups which resulted from the socio-demographic characteristics of the participants. According to the multiple linear regression model, sex (ß=0.24, P<0.001) was the most important determinant of adherence to social behavioral recommendations, followed by occupation (ß=0.15, P<0.001), age (ß=0.14, P=0.007), awareness (ß=0.13, P=0.001), and history of mental illness (ß=-0.08, P=0.049). Conclusion: For the effective management of pandemics, the general public health policies should also consider the variability in responses and behavioral changes caused by socio-demographic characteristics, rather than focusing only on general measures, such as social distancing.

The links of stress, substance use and socio-demographic factors with domestic violence during the Covid-19 pandemic in Portugal.

BACKGROUND: Lockdown, as a measure implemented to combat the coronavirus disease 2019 (COVID-19) pandemic, left many domestic violence (DV) victims trapped with their abusers. This study intends to explore the links between perceived stress, substance use and socio-demographic factors with DV experiences during COVID-19 pandemic in Portugal. METHODS: A cross-sectional study was carried out on a sample of 1062 participants over 16 years old, residing in Portugal. Data were collected through an online survey conducted between April and October 2020. The associations between potential factors and DV were investigated using bivariable analysis and multivariable logistic regression. RESULTS: The prevalence of DV reported was 13.75% (n = 146), disaggregated into psychological violence (13%, n = 138), sexual violence (1.0%, n = 11) and physical violence (0.9%, n = 10). Multivariable analyses confirmed that perceived financial difficulties (OR = 1.608; P = 0.019), use of medications to sleep or calm down (OR = 1.851; P = 0.002) and perceived stress (OR = 2.443; P = 0.003) were responsible for DV exposure during COVID-19 pandemic. Younger age (<25 years old) and consumption of alcohol were associated with a higher risk of DV victimization. CONCLUSIONS: Interventions aimed at preventing and confronting DV are necessary within the strategies to combat COVID-19 in Portugal, especially aimed at groups in vulnerable situations, during and after the pandemic.