Pregnancy-specific responses to COVID-19 revealed by high-throughput proteomics of human plasma.

BACKGROUND: Pregnant women are at greater risk of adverse outcomes, including mortality, as well as obstetrical complications resulting from COVID-19. However, pregnancy-specific changes that underlie such worsened outcomes remain unclear. METHODS: Plasma samples were collected from pregnant women and non-pregnant individuals (male and female) with (n = 72 pregnant, 52 non-pregnant) and without (n = 29 pregnant, 41 non-pregnant) COVID-19. COVID-19 patients were grouped as asymptomatic, mild, moderate, severe, or critically ill according to NIH classifications. Proteomic profiling of 7,288 analytes corresponding to 6,596 unique protein targets was performed using the SOMAmer platform. RESULTS: Herein, we profile the plasma proteome of pregnant and non-pregnant COVID-19 patients and controls and show alterations that display a dose-response relationship with disease severity; yet, such proteomic perturbations are dampened during pregnancy. In both pregnant and non-pregnant state, the proteome response induced by COVID-19 shows enrichment of mediators implicated in cytokine storm, endothelial dysfunction, and angiogenesis. Shared and pregnancy-specific proteomic changes are identified: pregnant women display a tailored response that may protect the conceptus from heightened inflammation, while non-pregnant individuals display a stronger response to repel infection. Furthermore, the plasma proteome can accurately identify COVID-19 patients, even when asymptomatic or with mild symptoms. CONCLUSION: This study represents the most comprehensive characterization of the plasma proteome of pregnant and non-pregnant COVID-19 patients. Our findings emphasize the distinct immune modulation between the non-pregnant and pregnant states, providing insight into the pathogenesis of COVID-19 as well as a potential explanation for the more severe outcomes observed in pregnant women.

Pregnant COVID-19 patients are at increased risk of experiencing complications and severe outcomes compared to the general population. However, the reasons for this heightened risk are still unclear. We measured the proteins present in the blood of pregnant and non-pregnant patients with COVID-19 and compared these to healthy individuals. We found that some COVID-19-associated proteins were present at lower levels in pregnant women, which could help to protect the fetus from harmful inflammation, the body's natural response to infection. While some proteins affected by COVID-19 are shared between pregnant and non-pregnant patients, others were distinctly affected only in pregnant women, providing a potential explanation for the more severe outcomes in this group.

Maternal and perinatal outcomes in mixed antenatal care modality implementing telemedicine in the southwestern region of Colombia during the COVID-19 pandemic.

INTRODUCTION: Contingency measures due to the COVID-19 pandemic limited access to routine prenatal care for pregnant women, increasing the risk of pregnancy complications due to poor prenatal follow-up, especially in those patients at high obstetric risk. This prompted the implementation and adaptation of telemedicine. OBJECTIVE: We aim to evaluate the maternal and perinatal outcomes of patients who received prenatal care in-person and by telemedicine. METHODS: We conducted a retrospective observational cohort study of pregnant women who received exclusive in-person and alternate (telemedicine and in-person) care from March to December 20,202, determining each group's maternal and neonatal outcomes. RESULTS: A total of 1078 patients were included, 156 in the mixed group and 922 in the in-person group. The patients in the mixed group had a higher number of prenatal controls (8 (6-9) vs 6 (4-8) p < 0.001), with an earlier gestational age at onset (7.1 (6-8.5) vs 9.3 (6.6-20.3), p < 0.001), however, they required a longer hospital stay (26 (16,67%) vs 86 (9,33%), p = 0.002) compared to those attended in-person; there were no significant differences in the development of obstetric emergencies, maternal death or neonatal complications. DISCUSSION: Incorporating telemedicine mixed with in-person care could be considered as an alternative for antenatal follow-up of pregnant women in low- and middle-income countries with barriers to timely and quality health care access.

Trends in COVID-19-related in-hospital mortality in women and men.

INTRODUCTION: Whether political, scientific and medical development in a country is associated with better clinical results according to gender in patients with COVID-19 has not yet been clearly elucidated. OBJECTIVE: To determine the trends of COVID-19-related in-hospital mortality in women and men from March 2020 to February 2022. METHODS: Clinical data of all patients with COVID-19 cared for at 21 Spanish hospitals were used, both of those who were discharged and of those who died during hospitalization. The association between hospital length of stay and mortality was analyzed with logistic regression models. RESULTS: Out of 7,974 patients that were included, 3,234 were women; 928 patients died. A significant decreasing trend in mortality was identified. When the analysis was carried out by gender, no significant mortality trend was found in women (OR = 0.96 [0.90-1.03], p = 0.239), while in men there was a significant decreasing trend identified (OR = 0.87 [0.82-0.92], p < 0.001). CONCLUSION: Health policies, together with clinical and preventive interventions, may explain these results. Response to treatment and behavioral differences may explain why mortality does not decrease for women.

INTRODUCCIÓN: Todavía no se comprende si el desarrollo político, científico y médico en un país se asocia a mejores resultados clínicos de los pacientes con COVID-19 según el sexo. OBJETIVO: Determinar las tendencias de mortalidad hospitalaria asociada a COVID-19 en mujeres y hombres entre marzo de 2020 y febrero de 2022. MÉTODOS: Se utilizaron los datos clínicos de todos los pacientes con COVID-19 atendidos en 21 hospitales españoles, tanto de quienes fueron dados de alta como de quienes fallecieron durante el ingreso. La asociación entre la fecha del ingreso y la mortalidad se analizó con modelos de regresión logística. RESULTADOS: Fueron incluidos 7974 pacientes, de los cuales 3234 fueron mujeres y 928 fallecieron. Se encontró una tendencia significativa y decreciente en la mortalidad según avanzaba la fecha del ingreso. Cuando el análisis se realizó por sexos, no se halló una tendencia significativa en las mujeres (RM = 0.96 [0.90-1.03], p = 0.239), pero sí en los hombres (RM = 0.87 [0.82-0.92], p < 0.001). CONCLUSIÓN: Las políticas de salud, junto con las intervenciones clínicas y preventivas, pueden dar cuenta de los resultados. Diferencias en la respuesta al tratamiento o en los comportamientos pueden explicar por qué la mortalidad no disminuye en las mujeres.

Head turning is an effective cue for gaze following: Evidence from newly sighted individuals, school children and adults.

In referential communication, gaze is often interpreted as a social cue that facilitates comprehension and enables word learning. Here we investigated the degree to which head turning facilitates gaze following. We presented participants with static pictures of a man looking at a target object in a first and third block of trials (pre- and post-intervention), while they saw short videos of the same man turning towards the target in the second block of trials (intervention). In Experiment 1, newly sighted individuals (treated for congenital cataracts; N = 8) benefited from the motion cues, both when comparing their initial performance with static gaze cues to their performance with dynamic head turning, and their performance with static cues before and after the videos. In Experiment 2, neurotypical school children (ages 5-10 years; N = 90) and adults (N = 30) also revealed improved performance with motion cues, although most participants had started to follow the static gaze cues before they saw the videos. Our results confirm that head turning is an effective social cue when interpreting new words, offering new insights for a pathways approach to development.

Evolution and long­term respiratory sequelae after severe COVID-19 pneumonia: nitric oxide diffusion measurement value.

INTRODUCTION: There are no published studies assessing the evolution of combined determination of the lung diffusing capacity for both nitric oxide and carbon monoxide (DLNO and DLCO) 12 months after the discharge of patients with COVID-19 pneumonia. METHODS: Prospective cohort study which included patients who were assessed both 3 and 12 months after an episode of SARS-CoV-2 pneumonia. Their clinical status, health condition, lung function testings (LFTs) results (spirometry, DLNO-DLCO analysis, and six-minute walk test), and chest X-ray/computed tomography scan images were compared. RESULTS: 194 patients, age 62 years (P25-75, 51.5-71), 59% men, completed the study. 17% required admission to the intensive care unit. An improvement in the patients' exercise tolerance, the extent of the areas of ground-glass opacity, and the LFTs between 3 and 12 months following their hospital discharge were found, but without a decrease in their degree of dyspnea or their self-perceived health condition. DLNO was the most significantly altered parameter at 12 months (19.3%). The improvement in DLNO-DLCO mainly occurred at the expense of the recovery of alveolar units and their vascular component, with the membrane factor only improving in patients with more severe infections. CONCLUSIONS: The combined measurement of DLNO-DLCO is the most sensitive LFT for the detection of the long-term sequelae of COVID-19 pneumonia and it explain better their pathophysiology.

Evaluation of simple laboratory parameters in SARS-CoV-2 infection: the role of ratios.

BACKGROUND: The real predictive prognostic capacity of cellular indices (or ratios) is unclear in SARS-CoV-2 infection. This study aimed to assess the prognostic role of previously well-known laboratory indices and new ones in hospitalized COVID-19 patients. METHODS: A retrospective observational study from March to May 2022 evaluated laboratory indices on admission (neutrophil to lymphocyte-, derived neutrophil to lymphocyte-, platelet to lymphocyte-, CRP to lymphocyte-, CRP to albumin-, fibrinogen to lymphocyte-, d-dimer to lymphocyte-, ferritin to lymphocyte-, LDH to lymphocyte-, and IL-6 to lymphocyte ratios), in patients hospitalized due to SARS-CoV2 infection to determine the association with mortality, admission to an intensive care unit (ICU), need for non-invasive mechanical ventilation (NIMV), orotracheal intubation (OTI), or combined event at 30 days follow-up. RESULTS: A total of 1113 COVID-19 patients were evaluated with a mean age of 64.1 ± 15.9 years (58.49% male), 166 (14.91%) patients died, 58 (5.21%) required ICU admission, 73 (6.56%) needed NIMV, 46 (4.23%) needed OTI, and 247 (22.19%) presented the combined event. All the ratios evaluated in this study showed statistical significance in the univariate analysis for mortality and combined event; however, only d-dimer to lymphocyte ratio >0.6 presented an independent association in the multivariate analysis for 30-day mortality (adjusted OR 2.32; p = .047) and 30-day combined event (adjusted OR 2.62; p = .014). CONCLUSIONS: Laboratory indices might be a potential biomarker for better prognosis stratification in hospitalized COVID-19 patients. d-Dimer to lymphocyte ratio presents an independent association for 30-day mortality and 30-day adverse outcomes in hospitalized COVID-19 patients.

Hematological- and Immunological-Related Biomarkers to Characterize Patients with COVID-19 from Other Viral Respiratory Diseases.

COVID-19 has overloaded health system worldwide; thus, it demanded a triage method for an efficient and early discrimination of patients with COVID-19. The objective of this research was to perform a model based on commonly requested hematological variables for an early featuring of patients with COVID-19 form other viral pneumonia. This investigation enrolled 951 patients (mean of age 68 and 56% of male) who underwent a PCR test for respiratory viruses between January 2019 and January 2020, and those who underwent a PCR test for detection of SARS-CoV-2 between February 2020 and October 2020. A comparative analysis of the population according to PCR tests and logistic regression model was performed. A total of 10 variables were found for the characterization of COVID-19: age, sex, anemia, immunosuppression, C-reactive protein, chronic obstructive pulmonary disease, cardiorespiratory disease, metastasis, leukocytes and monocytes. The ROC curve revealed a sensitivity and specificity of 75%. A deep analysis showed low levels of leukocytes in COVID-19-positive patients, which could be used as a primary outcome of COVID-19 detection. In conclusion, this investigation found that commonly requested laboratory variables are able to help physicians to distinguish COVID-19 and perform a quick stratification of patients into different prognostic categories.

Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort.

The use of routine laboratory biomarkers plays a key role in decision making in the clinical practice of COVID-19, allowing the development of clinical screening tools for personalized treatments. This study performed a short-term longitudinal cluster from patients with COVID-19 based on biochemical measurements for the first 72 h after hospitalization. Clinical and biochemical variables from 1039 confirmed COVID-19 patients framed on the "COVID Data Save Lives" were grouped in 24-h blocks to perform a longitudinal k-means clustering algorithm to the trajectories. The final solution of the three clusters showed a strong association with different clinical severity outcomes (OR for death: Cluster A reference, Cluster B 12.83 CI: 6.11-30.54, and Cluster C 14.29 CI: 6.66-34.43; OR for ventilation: Cluster-B 2.22 CI: 1.64-3.01, and Cluster-C 1.71 CI: 1.08-2.76), improving the AUC of the models in terms of age, sex, oxygen concentration, and the Charlson Comorbidities Index (0.810 vs. 0.871 with p < 0.001 and 0.749 vs. 0.807 with p < 0.001, respectively). Patient diagnoses and prognoses remarkably diverged between the three clusters obtained, evidencing that data-driven technologies devised for the screening, analysis, prediction, and tracking of patients play a key role in the application of individualized management of the COVID-19 pandemics.

Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina.

SARS-CoV-2 variants with concerning characteristics have emerged since the end of 2020. Surveillance of SARS-CoV-2 variants was performed on a total of 4,851 samples from the capital city and 10 provinces of Argentina, during 51 epidemiological weeks (EWs) that covered the end of the first wave and the ongoing second wave of the COVID-19 pandemic in the country (EW 44/2020 to EW 41/2021). The surveillance strategy was mainly based on Sanger sequencing of a Spike coding region that allows the identification of signature mutations associated with variants. In addition, whole-genome sequences were obtained from 637 samples. The main variants found were Gamma and Lambda, and to a lesser extent, Alpha, Zeta, and Epsilon, and more recently, Delta. Whereas, Gamma dominated in different regions of the country, both Gamma and Lambda prevailed in the most populated area, the metropolitan region of Buenos Aires. The lineages that circulated on the first wave were replaced by emergent variants in a term of a few weeks. At the end of the ongoing second wave, Delta began to be detected, replacing Gamma and Lambda. This scenario is consistent with the Latin American variant landscape, so far characterized by a concurrent increase in Delta circulation and a stabilization in the number of cases. The cost-effective surveillance protocol presented here allowed for a rapid response in a resource-limited setting, added information on the expansion of Lambda in South America, and contributed to the implementation of public health measures to control the disease spread in Argentina.

Clinical Presentation of the SARS-CoV-2 Virus Infection and Predictive Validity of the PCR Test in Primary Health Care Worker Patients of the Spanish National Health System.

BACKGROUND: Despite the impact that the SARS-CoV-2 virus infection has presented in Spain, data on the diagnostic capacity of the symptoms associated with this infection are limited, especially among patients with mild symptoms and who are detected in the primary care field (PC). The objective of the present study was to know the associated symptoms and their predictive criterial validity in SARS-CoV-2 infection among professionals working in PC. METHODS: A cross-sectional, multicenter study was carried out in the Spanish National Health System, through an epidemiological survey directed to patients who underwent the PCR test for SARS-CoV-2 in the PC setting. RESULTS: A total of 1612 patients participated, of which 86.6% were PC healthcare professionals, and of these, 67.4% family doctors. Hyposmia, with a sensitivity of 42.69% (95% CI: 37.30-48.08) and a specificity of 95.91% (95% CI: 94.78-97.03), and ageusia with a sensitivity of 39.47% (34.15-44.80) and a specificity of 95.20% (93.98-96.41) were the symptoms with the highest criteria validity indexes. CONCLUSIONS: This study identifies the specific symptoms of loss of smell or taste as the most frequently associated with SARS-CoV-2 infection, essential in the detection of COVID-19 given its high frequency and predictive capacity.

Proinflammatory and Hepatic Features Related to Morbidity and Fatal Outcomes in COVID-19 Patients.

OBJECTIVE: to screen putative associations between liver markers and proinflammatory-related features concerning infectious morbidity and fatal outcomes in COVID-19 patients. METHODS: a total of 2094 COVID-19 positive patients from the COVID-DATA-SAFE-LIFES cohort (HM hospitals consortium) were classified according to median values of hepatic, inflammatory, and clinical indicators. Logistic regression models were fitted and ROC cures were generated to explain disease severity and mortality. RESULTS: intensive care unit (ICU) assistance plus death outcomes were associated with liver dysfunction, hyperinflammation, respiratory insufficiency, and higher associated comorbidities. Four models including age, sex, neutrophils, D-dimer, oxygen saturation lower than 92%, C-reactive protein (CRP), Charlson Comorbidity Index (CCI), FIB-4 and interactions with CRP, neutrophils, and CCI explained ICU plus death variance in more than 28%. The predictive values of ROC curves were: FIB-4 (0.7339), AST/ALT ratio (0.7107), CRP (0.7003), CCI index (0.6778), neutrophils (0.6772), and platelets (0.5618) concerning ICU plus death outcomes. CONCLUSIONS: the results of this research revealed that liver and proinflammatory features are important determinants of COVID-19 morbidity and fatal outcomes, which could improve the current understanding of the COVID-19 physiopathology as well as to facilitate the clinical management and therapy decision-making of this disease under a personalized medicine scope.

Extracorporeal Membrane Oxygenation for COVID-19-associated Severe Acute Respiratory Distress Syndrome in Chile: A Nationwide Incidence and Cohort Study.

Rationale: The role of and needs for extracorporeal membrane oxygenation (ECMO) at a population level during the coronavirus disease (COVID-19) pandemic have not been completely established. Objectives: To identify the cumulative incidence of ECMO use in the first pandemic wave and to describe the Nationwide Chilean cohort of ECMO-supported patients with COVID-19. Methods: We conducted a population-based study from March 3 to August 31, 2020, using linked data from national agencies. The cumulative incidence of ECMO use and mortality risk of ECMO-supported patients were calculated and age standardized. In addition, a retrospective cohort analysis was performed. Outcomes were 90-day mortality after ECMO initiation, ECMO-associated complications, and hospital length of stay. Cox regression models were used to explore risk factors for mortality in a time-to-event analysis. Measurements and Main Results: Ninety-four patients with COVID-19 were supported with ECMO (0.42 per population of 100,000, 14.89 per 100,000 positive cases, and 1.2% of intubated patients with COVID-19); 85 were included in the cohort analysis, and the median age was 48 (interquartile range [IQR], 41-55) years, 83.5% were men, and 42.4% had obesity. The median number of pre-ECMO intubation days was 4 (IQR, 2-7), the median PaO2/FiO2 ratio was 86.8 (IQR, 64-99) mm Hg, 91.8% of patients were prone positioned, and 14 patients had refractory respiratory acidosis. Main complications were infections (70.6%), bleeding (38.8%), and thromboembolism (22.4%); 52 patients were discharged home, and 33 died. The hospital length of stay was a median of 50 (IQR, 24-69) days. Lower respiratory system compliance and higher driving pressure before ECMO initiation were associated with increased mortality. A duration of pre-ECMO intubation ≥10 days was not associated with mortality. Conclusions: Documenting nationwide ECMO needs may help in planning ECMO provision for future COVID-19 pandemic waves. The 90-day mortality of the Chilean cohort of ECMO-supported patients with COVID-19 (38.8%) is comparable to that of previous reports.

Psychological Effects of Home Confinement and Social Distancing Derived from COVID-19 in the General Population-A Systematic Review.

(1) Background: Home confinement and social distancing are two of the main public health measures to curb the spread of SARS-Cov-2, which can have harmful consequences on people's mental health. This systematic review aims to identify the best available scientific evidence on the impact that home confinement and social distancing, derived from the SARS-CoV-2 pandemic, have had on the mental health of the general population in terms of depression, stress and anxiety. (2) Methods: A systematic search was conducted on PubMed, Scopus, Web of Science and ScienceDirect between 2 January 2021 and 7 January 2021, in accordance with the recommendations of the PRISMA Declaration. The selection of studies and the evaluation of their methodological quality were performed in pairs, independently and blindly, based on predetermined eligibility criteria. (3) Results: The 26 investigations reviewed were developed in different regions and countries. Factors that are associated with poor mental health were female gender, young ages, having no income and suffering from a previous psychiatric illness. Inadequate management of the pandemic by authorities and a lack or excess of information also contributed to worse mental health. (4) Conclusions: There are groups of people more likely to suffer higher levels of anxiety, depression and stress during the restrictive measures derived from COVID-19.

Exploring the Occupational Balance of Young Adults during Social Distancing Measures in the COVID-19 Pandemic.

(1) Background: A balanced life is related to good health in young people, one of the groups most affected by confinement and social distancing measures during the COVID-19 pandemic. This study aims to explore the occupational balance of young adults during home confinement and its association with different sociodemographic factors. (2) Methods: A cross-sectional study was designed, and an online survey was disseminated to collect sociodemographic and occupational balance data, using the Occupational Balance Questionnaire (OBQ). The statistical analysis was performed using the SPSS statistical software package version 24.0. (3) Results: 965 young adults between 18 and 30 years old participated in the study. A predictive model showed that the main predictors of a lower occupational balance were a negative self-perception (ß= 0.377; p = <0.0001), student status (ß = 0.521; p = 0.001), not receiving enough information (ß = 0.951; p = 0.001) and long periods of quarantine (ß = 0.036; p = 0.007). (4) Conclusions: Considering people's occupational health and related factors could lessen many of the psychosocial consequences of isolation and contribute to the well-being of young people.

Alterations in Respiratory Function Test Three Months after Hospitalisation for COVID-19 Pneumonia: Value of Determining Nitric Oxide Diffusion.

Three to four months after hospitalisation for COVID-19 pneumonia, the most frequently described alteration in respiratory function tests (RFTs) is decreased carbon monoxide transfer capacity (DLCO). METHODS: This is a prospective cohort study that included patients hospitalised because of SARS-CoV-2 pneumonia, three months after their discharge. A clinical evaluation, analytical parameters, chest X-ray, six-minute walk test, spirometry and DLCO-DLNO analysis were performed. Demographic variables, comorbidities, and variables related to the severity of the admission were recorded. RESULTS: Two hundred patients completed the study; 59.5% men, age 62 years, 15.5% admitted to the intensive care unit. The most frequent functional alteration, in 27% of patients, was in the DLCO-DLNO combination. This alteration was associated with age, male sex, degree of dyspnoea, poorer perception of health, and limited ability for physical effort. These patients also presented higher levels of D-Dimer and more residual radiological alterations. In 42% of the patients with diffusion alterations, only reduced DLNO was presented, along with lower D-Dimer levels and less capillary volume involvement. The severity of the process was associated with the reduction in DLCO-DLNO. CONCLUSIONS: The most sensitive RFT for the detection of the sequelae of COVID-19 pneumonia was the combined measurement of DLCO-DLNO and this factor was related to patient health status and their capacity for physical exertion. In 40% of these cases, there was only a reduction in DLNO, a finding that may indicate less pulmonary vascular involvement.

Life Satisfaction during Forced Social Distancing and Home Confinement Derived from the COVID-19 Pandemic in Spain.

Life satisfaction is one of the main dimensions of well-being related to psychological factors, being essential for a person to adjust to difficult circumstances. The restrictive measures adopted to minimize the diffusion of the coronavirus disease (COVID-19) could alter the subjective dimension of well-being, so the objective of this study was to determine the factors related to life satisfaction of the Spanish population during forced home confinement derived from the COVID-19 pandemic. A cross-sectional study was designed, based on an online survey, and disseminated through the main social networks, which included the Satisfaction with Life Scale (SWLS) and sociodemographic and COVID-19-related variables. The possible relationships between the different variables were studied using univariate and multivariable regression analyses. A total of 3261 subjects participated in the study. Factors associated with greater personal life satisfaction were fewer days of home confinement (ß = (-0.088); p ≤ 0.001), the perception of having received enough information (ß = 0.076; p ≤ 0.001), having private access to the outside (ß = 0.066; p ≤ 0.001), being employed (ß = 0.063; p ≤ 0.001), being male (ß = 0.057; p = 0.001) and not having been isolated (ß = 0.043; p = 0.013). The results of this study provide novel information about the profiles of people related to greater well-being and life satisfaction during forced social distancing and home confinement, but more studies are needed to help to understand and complement these findings.

Relationship of Forced Social Distancing and Home Confinement Derived from the COVID-19 Pandemic with the Occupational Balance of the Spanish Population.

Abrupt interruption in the performance of everyday occupations as a consequence of forced social distancing and home confinement, coupled with a lack of regulatory capacities and skills, can trigger harmful effects on people's health and well-being. This study aimed to determine the factors related to the occupational balance in the Spanish population during home confinement as a consequence of the coronavirus disease 19 (COVID-19) pandemic. A total of 3261 subjects completed an online survey, which was disseminated through the mainstream social media platforms in Spain and included the Occupational Balance Questionnaire (OBQ), sociodemographic variables, and factors related to COVID-19 infection. The mean age of the participants (81.69% women) was 40.53 years (SD ± 14.05). Sociodemographic variables were related to a greater occupational balance, and the multivariate analysis showed that age (ß = 0.071; p = 0.001), the perception of having received enough information (ß = 0.071; p ≤ 0.001), not telecommuting (ß = -0.047; p = 0.022), and not being infected by COVID-19 (ß = 0.055; p = 0.007) contributed to a better occupational balance. There were profiles of people less likely to suffer disturbances in occupational balance during home confinement, but more studies are needed to help understand and analyze the effects of the COVID-19 pandemic on people's occupational and mental health.