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This study described integrative community therapy (ICT) in the online modality as a health promotion resource in the context of COVID-19 in Latin America, characterizing the ICT circles, the ICT training centers, and the community therapists involved in this practice. It is a descriptive, observational, and cross-sectional study with a quantitative approach. Data were collected from November 2020 to July 2021 through an online questionnaire created on the Google Forms platform. The study's first stage involved the participation of ICT training centers, while the second involved community therapists. Forty-three centers participated in the first stage; 86.1% offered online ICT in the period evaluated, and 74.4% trained professionals to implement this modality. In the second stage, 66 community therapists responded to the questionnaire. Of these, 49 (74.2%) resided in Brazil, 84.8% were female, and 72.7% performed the work voluntarily, with an average of 6.1 hours per week dedicated to online circles. Community-based circles were the most cited, followed by those linked to the public sector, with an average of 20.7 participants/circle in the period. The most frequent themes were stress and negative emotions, problems with work/unemployment, and family conflicts. Strengthening self-care, participation in ICT circles, and personal empowerment stood out among the coping strategies. In conclusion, online ICT proved to be an innovative resource for health promotion during the pandemic through the articulation and engagement of community therapists and different institutions, expanding solidary social networks, and showing itself as a sustainable practice in the Latin American scenario. [ABSTRACT FROM AUTHOR]

This study investigated how the Brazilian population perceived the risk of COVID-19, people's behavior in response to the pandemic, and trust in the health system in case of COVID-19 infection. The sample comprised 7430 Brazilian recruited through non-probability sampling. Association analysis was performed using logistic regression. The results revealed that the economically active population and those who lived with health professionals most perceived greater susceptibility to infection. In addition, the high severity of COVID-19 was more perceived by the elderly and by those who lived with individuals in high-risk groups. [ABSTRACT FROM AUTHOR]

This study aimed to assess the fear of COVID-19 in the Brazilian population, validate the FCV-19S and examine the association of its scores with sociodemographic and pandemic-related variables. A total of 7430 participants were recruited in an online survey. From the factor analysis results, FCV-19S proved to be suitable, indicating a higher level of fear for women and also for those aged 18–29years. Besides, belonging to a high-risk group and having relatives diagnosed or deceased by COVID-19 showed a positive association with fear. These findings pointed out the most vulnerable groups, which can assist in planning mental health actions. [ABSTRACT FROM AUTHOR]

Ranked set sampling (RSS) has been proved to be an efficient sampling design for parametric and non-parametric inference. In this paper, we consider RSS-based estimation for the two-parameter Birnbaum–Saunders (BS) distribution, which is widely used in reliability analysis. The estimation methods considered for comparison purposes were: maximum likelihood (ML), modified method of moments (MMM), maximum product of spacings (MPS), and Anderson–Darling (AD). The performance of the RSS-based estimators was evaluated through Monte Carlo simulations under both perfect and imperfect ranking assumptions. The bias, mean squared error, and mean integrated squared error were used as the criteria for comparison. The results revealed that the RSS-based estimators perform better than their simple random sampling (SRS) counterparts. The ML estimator performed the best under the perfect ranking assumption, while the MMM provided better performance for higher levels of imperfect ranking. Additional simulations based on data from a forest inventory corroborated our findings. [ABSTRACT FROM AUTHOR]

Various studies have focused on breastfeeding and the possible factors associated with early weaning. This study aimed to identify risk factors and protective factors for duration of breastfeeding in low-income families in southern Curitiba, Paraná State, Brazil. A cohort study from November 2006 to March 2007 included 118 mothers of children less than two years of age and enrolled in the TC Health Unit (USTC) located in the southern area of Curitiba. Statistical analyses using the Kaplan-Meier method and Cox regression model identified the following protective factors for breastfeeding: mother's awareness of the benefits of extended breastfeeding, exclusive feeding with mother's breast milk while in the maternity ward, and rooming-in. Factors contributing to early weaning were low birth weight, mother's work outside the home, and difficulties experienced by the mother in breastfeeding during the first days postpartum.