Ruas de Lazer em Pelotas: Modelo lógico e descrição dos processos de planejamento e execução / Open streets in Pelotas: Logical model and description of the planning and execution process

O objetivo do estudo foi desenvolver o modelo lógico do projeto Ruas de Lazer na cidade de Pelotas em 2022, assim como descrever os processos de planejamento, pactuação e execução. Trata-se de um estudo qualitativo, que utilizou a técnica de observação participante e o emprego de modelo lógico. O projeto possui características de gestão compartilhada que demarcam potencial relevante na criação de vínculo entre universidade, gestão pública e população local. Em 2022, sete eventos foram realizados com proposição de atividades culturais com música e dança, atividades físicas e esportivas e de educação em saúde. O projeto está em permanente construção e evolução, apostando na ampliação de investimentos para atingir os objetivos imediatos de oferta de atividades de lazer e de ampliação da democratização de acesso aos espaços públicos para o uso da população.

The aim of this study was to develop a logical model of the Ruas de Lazer project in the city of Pelotas, Rio Grande do Sul, Brazil, in 2022, as well as to describe the processes of planning, agreement, and execution. This is a qualitative study that employed the technique of participant observation and the use of a logical model. The project has characteristics of shared management that mark a relevant potential in creating a bond between the university, public management, and the local population. In 2022, seven events were held, proposing cultural activities with music and dance, physical and sports activities, and health education. The project is in permanent construction and evolution, betting on the expansion of investments to achieve the immediate objectives of offering leisure activities and expanding the democratization of access to public spaces for the use of the population.

Association of Sleep Duration and Use of Sleeping Medication with Multimorbidity in Adults: Results from the PAMPA (Brazil) Cohort Study.

Objective To analyze the association of sleep duration and use of sleeping medication with multimorbidity. Materials and Methods We conducted a cross-sectional study using data from the Prospective Study about Mental and Physical Health (PAMPA) cohort. Multimorbidity was defined as the presence of two or more conditions from a list of twelve health problems. Descriptive analyses were performed considering proportion and its 95% confidence interval (95%CI). We performed logistic regression (to obtain odds ratios, ORs) to estimate the associations, including models adjusted for confounding factors. Results In total, 2,936 participants were included, 79,1% of them women, 54.2% aged between 18 and 39 years, and 88.9% with white skin color. Compared with regular sleep (seven to eight hours a day), five hours or less of sleep increased the odds of multimorbidity by 145% (95%CI: 1.90-3.14), and 9 hours or more of sleep increased the odds by 49% (95%CI: 1.14-1.95) for the crude model; the results remained significant even in the adjusted models. Discussion Consumption of sleeping medication was associated with multimorbidity. Short and prolonged sleep duration increased the odds of multimorbidity, regardless of the sociodemographic and behavior characteristics. The regular use of sleeping medication was also associated with multimorbidity. The results of the present study are important but require caution due to reverse causality, and longitudinal studies are needed to confirm the findings.

Incidence of multimorbidity and associated factors during the COVID-19 pandemic in Brazil: a cohort study

ABSTRACT BACKGROUND: Due to the coronavirus disease 2019 (COVID-19) pandemic, access to healthcare services may have become difficult, which may have led to an increase in chronic diseases and multimorbidity. OBJECTIVES: To assess the incidence of multimorbidity and its associated factors among adults living in the state of Rio Grande do Sul, Brazil. DESIGN AND SETTING: Cohort study conducted in Rio Grande do Sul, Brazil. METHODS: We included data from the two waves of the Prospective Study About Mental and Physical Health (PAMPA). Data were collected via online questionnaires between June and July 2020 (wave 1) and between December 2020 and January 2021 (wave 2). Multimorbidity was defined as the presence of two or more diagnosed medical conditions. RESULTS: In total, 516 individuals were included, among whom 27.1% (95% confidence interval, CI: 23.5-31.1) developed multimorbidity from wave 1 to 2. In adjusted regression models, female sex (hazard ratio, HR: 1.97; 95% CI: 1.19-3.24), middle-aged adults (31-59 years) (HR: 1.78; 95% CI: 1.18-2.70) and older adults (60 or over) (HR: 2.41; 95% CI: 1.25-4.61) showed higher risk of multimorbidity. Back pain (19.4%), high cholesterol (13.3%) and depression (12.2%) were the medical conditions with the highest proportions reported by the participants during wave 2. CONCLUSION: The incidence of multimorbidity during a six-month period during the COVID-19 pandemic was 27.1% in the state of Rio Grande do Sul, Brazil.

Incidence of multimorbidity and associated factors during the COVID-19 pandemic in Brazil: a cohort study.

BACKGROUND: Due to the coronavirus disease 2019 (COVID-19) pandemic, access to healthcare services may have become difficult, which may have led to an increase in chronic diseases and multimorbidity. OBJECTIVES: To assess the incidence of multimorbidity and its associated factors among adults living in the state of Rio Grande do Sul, Brazil. DESIGN AND SETTING: Cohort study conducted in Rio Grande do Sul, Brazil. METHODS: We included data from the two waves of the Prospective Study About Mental and Physical Health (PAMPA). Data were collected via online questionnaires between June and July 2020 (wave 1) and between December 2020 and January 2021 (wave 2). Multimorbidity was defined as the presence of two or more diagnosed medical conditions. RESULTS: In total, 516 individuals were included, among whom 27.1% (95% confidence interval, CI: 23.5-31.1) developed multimorbidity from wave 1 to 2. In adjusted regression models, female sex (hazard ratio, HR: 1.97; 95% CI: 1.19-3.24), middle-aged adults (31-59 years) (HR: 1.78; 95% CI: 1.18-2.70) and older adults (60 or over) (HR: 2.41; 95% CI: 1.25-4.61) showed higher risk of multimorbidity. Back pain (19.4%), high cholesterol (13.3%) and depression (12.2%) were the medical conditions with the highest proportions reported by the participants during wave 2. CONCLUSION: The incidence of multimorbidity during a six-month period during the COVID-19 pandemic was 27.1% in the state of Rio Grande do Sul, Brazil.