Lifestyle choices of Brazilian college students

Lifestyle choices reflect the beliefs that individuals attribute to aspects of life. This construct can be assessed with the Individual Lifestyle Profile (PEVI) questionnaire, which measures elements of Nutrition, Physical Activity, Preventive Behaviors, Social Relationships and Stress Management.info:eu-repo/semantics/publishedVersio

Early psychological impact of the COVID-19 pandemic in Brazil: A sational survey

Isolation measures used to contain epidemics generate social interaction restrictions and impose changes in routines of the public that increase negative psychological outcomes. Anxiety and depression are the most common symptoms.info:eu-repo/semantics/publishedVersio

Symptoms related to mental disorder in healthcare workers during the COVID-19 pandemic in Brazil

Background Studies of previous pandemics indicate that healthcare workers have a high risk of developing symptoms related to mental health, especially depression, anxiety, and stress. Objective To identify mental disorder symptoms among Brazilian healthcare workers during the Sars-Cov-2 pandemic and compare findings in different work categories. Methods This was an online cross-sectional study. Information related to the pandemic and mental disorder symptoms was collected. The Depression, Anxiety, and Stress Scale and the Impact of Event Scale-revised were used. Associations were estimated by the chi-square test. The mean scores were compared among work categories with ANOVA (α = 5%) and the prevalence of symptoms was estimated. Results 1,609 healthcare workers participated in the survey [mean age: 36.9 (SD = 11.6) years, women = 83.6%]. There was no association between work category and changes in mental health during the pandemic (p = 0.288) or prevalence of unsafe feeling (p = 0.218). A significant relationship was observed between maintaining work activities during the pandemic and work category (p < 0.001). Physicians had the lowest out-of-work prevalence (9.5%) while dentists had the highest (32.3%). Physicians and nurses showed the highest prevalence of in-person work routine. Psychologists presented the highest prevalence of remote work (64.0%) while dentists had the lowest (20.2%). A high prevalence of depression (D), anxiety (A), and stress (S) symptoms was observed in all professional categories (D: 57.2, 95% CI 48.3–66.1%; A: 46.20%, 95% CI = 37.2–55.2%; S: 55.80%, 95% CI = 46.8–64.8%), with physicians (D = 38.4%, A = 25.80%, S = 37.90%), psychologists (D = 50.2%, A = 39.0%, S = 43.1%), and nurses (D = 50.0%, A = 40.9%, S = 49.0%) having significantly lower scores. Psychologists had the lowest pandemic-related psychological impact (42.70%, 95% CI 36.8–48.6%). Conclusion Extreme changes in the work routine of dentists and psychologists and an overall high prevalence of mental symptoms due to the pandemic were found. Researchers should focus on gathering information that can identify workers at increased risk of mental illness to guide discussions and develop actions to minimize the harm of the pandemic. In addition, we suggest that healthcare and support systems urgently adopt mental health care measures with specialized professionals to protect the psychological well-being of the healthcare community.· · · · ·info:eu-repo/semantics/publishedVersio

Subjective wellbeing of preschool children

Objective: The aim of the present study was to evaluate the psychometric properties of the Autoquestionnaire Qualité de Vie Enfant Imagé (AUQEI) in pre-school children and estimate the influence of demographic characteristics on their subjective wellbeing. Methods: Construct validity was estimated using confirmatory analysis and the chi-square per degrees of freedom ratio (χ2/df), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA). Reliability was assessed by the ordinal alpha (α) and omega (ω) coefficients and the factorial invariance by the difference in CFI (ΔCFI). Mean scores for each AUQEI item and the general score were calculated. Results: A total of 443 Preschool children enrolled in public education institutions participated. The original 4-factor AUQEI model showed collinearity between factors and a high correlation between two items. A single factor model was tested, presenting adequate fit to the data (χ2/df = 4.47; CFI = 0.98; TLI = 0.98; RMSEA = 0.08; α = 0.98; ω = 0.93; UniCo > 0.95, EVC > 0.85, and MIREAL 0.05). Conclusions: The assessment of subjective wellbeing with the single-factor AUQEI model provided valid, reliable, and invariant. Thus, being a relevant and interesting instrument to assess wellbeing in young children.Peer reviewe

The Psychological Impact of COVID-19 on Individuals With and Without Mental Health Disorders

Objective: To identify people with history of mental health disorders before the COVID-19 pandemic in the Brazilian population and estimate the prevalence of mood swings and the subjective distress of the pandemic among individuals with or without mental health disorders. Methods: Through an online survey, participants were asked about presence or absence of mental health disorders. In addition, they answered the Brunel Mood Scale and the Impact of Event Scale. The mean percentile of mood swing indicators and psychological impact scores were estimated, and data were analyzed by logistic regression. Results: 13,248 people participated (70.5% women, mean age 35.4 years, 31.2% with history of mental health disorder). Women and younger people were more likely to be diagnosed with mental health disorder. All participants had significant changes in mood due to the pandemic. Anger, depressed mood, mental confusion, and fatigue were higher among individuals with bipolar disorder or with combined disorders. Individuals with mental health disorders had a greater subjective distress, especially the group with bipolar disorder (OR = 4.89 [3.64–6.56]) and combined disorders (OR = 6.89 [5.21–9.10]). Conclusion: Individuals previously diagnosed with mental health disorders at some point in life are more vulnerable to psychological impact from the pandemic.acceptedVersionPeer reviewe

Subjective wellbeing of preschool children

ObjectiveThe aim of the present study was to evaluate the psychometric properties of the Autoquestionnaire Qualité de Vie Enfant Imagé (AUQEI) in pre-school children and estimate the influence of demographic characteristics on their subjective wellbeing.MethodsConstruct validity was estimated using confirmatory analysis and the chi-square per degrees of freedom ratio (χ2/df), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA). Reliability was assessed by the ordinal alpha (α) and omega (ω) coefficients and the factorial invariance by the difference in CFI (ΔCFI). Mean scores for each AUQEI item and the general score were calculated.ResultsA total of 443 Preschool children enrolled in public education institutions participated. The original 4-factor AUQEI model showed collinearity between factors and a high correlation between two items. A single factor model was tested, presenting adequate fit to the data (χ2/df = 4.47; CFI = 0.98; TLI = 0.98; RMSEA = 0.08; α = 0.98; ω = 0.93; UniCo &gt; 0.95, EVC &gt; 0.85, and MIREAL &lt; 0.30) and strict model invariance (ΔCFI &lt; 0.01). The AUQEI model proved to be valid in relation to the external variables. Most children (76.7%) had positive subjective wellbeing. Higher scores were observed for items concerning recreation, holidays, and birthdays, and lower scores for those referring to hospitalization, medication, medical consultation, and being away from the family. The relationship between the demographic characteristics of the child or his/her mother and subjective wellbeing was not significant (p &gt; 0.05).ConclusionsThe assessment of subjective wellbeing with the single-factor AUQEI model provided valid, reliable, and invariant. Thus, being a relevant and interesting instrument to assess wellbeing in young children

COVID-19 pandemic : Prevalence of depression, anxiety, and stress symptoms among Brazilian psychologists

Introduction: Symptoms related to mental health disorders became the background of the COVID-19 pandemic, and psychologists had to adapt to the demands, while they themselves were exposed to the pandemic and its stressors. Objectives: To identify demographic and professional characteristics of Brazilian psychologists in different phases of pandemic and their reported care practices, concerns, and symptoms. Methods: This was an observational study conducted online in four independent phases with no pairing among the samples (May/June 2020, n = 263; November/December 2020, n = 131; May/June 2021, n = 378; November/December 2021, n = 222). Depression, Anxiety and Stress Scale was used. The validity and reliability of the data obtained with the DASS-21 were attested to by confirmatory factor analysis. Basic lexographic and similarity analysis were conducted to obtain textual information. Prevalence of variables was estimated and compared between phases using the z-test (α = 5%). Similarity analysis was performed to identify the psychologists’ concerns. Results: Most of participants were women and were self-employed or employed. There was rapid adjustment to remote work and more than 70% reported changes in their mental health since the onset of pandemic. One in four participants had a previous mental health disorder, and there was a high prevalence of symptoms such as anxiety, fear, and angst. The prevalence of professionals who reported not caring about their own mental health was significant. In 2020, one cluster (health) of concern was identified, while in 2021 there were three clusters (health, family, and COVID-19). The prevalence of depression, anxiety, and stress symptoms was high and did not change during the pandemic. Conclusions: Psychologists adapted to the demands of the population in the face of the pandemic. However, there was a high prevalence of mental health symptoms and a disregard for self-care among these professionals.publishedVersionPeer reviewe

Combined fit to the spectrum and composition data measured by the Pierre Auger Observatory including magnetic horizon effects

The measurements by the Pierre Auger Observatory of the energy spectrum and mass composition of cosmic rays can be interpreted assuming the presence of two extragalactic source populations, one dominating the flux at energies above a few EeV and the other below. To fit the data ignoring magnetic field effects, the high-energy population needs to accelerate a mixture of nuclei with very hard spectra, at odds with the approximate E$^{-2}$ shape expected from diffusive shock acceleration. The presence of turbulent extragalactic magnetic fields in the region between the closest sources and the Earth can significantly modify the observed CR spectrum with respect to that emitted by the sources, reducing the flux of low-rigidity particles that reach the Earth. We here take into account this magnetic horizon effect in the combined fit of the spectrum and shower depth distributions, exploring the possibility that a spectrum for the high-energy population sources with a shape closer to E$^{-2}$ be able to explain the observations

Studies of the mass composition of cosmic rays and proton-proton interaction cross-sections at ultra-high energies with the Pierre Auger Observatory

In this work, we present an estimate of the cosmic-ray mass composition from the distributions of the depth of the shower maximum (Xmax) measured by the fluorescence detector of the Pierre Auger Observatory. We discuss the sensitivity of the mass composition measurements to the uncertainties in the properties of the hadronic interactions, particularly in the predictions of the particle interaction cross-sections. For this purpose, we adjust the fractions of cosmic-ray mass groups to fit the data with Xmax distributions from air shower simulations. We modify the proton-proton cross-sections at ultra-high energies, and the corresponding air shower simulations with rescaled nucleus-air cross-sections are obtained via Glauber theory. We compare the energy-dependent composition of ultra-high-energy cosmic rays obtained for the different extrapolations of the proton-proton cross-sections from low-energy accelerator data