A tale of two cities: Heterogeneous effects of COVID-19 quarantine on domestic violence in Brazil.

Domestic violence calls to helplines surged worldwide immediately after COVID-19 lockdowns, but crime reporting, assaults, or homicides did not consistently rise. Using Brazilian data from health services and helplines, we analyze the impact of COVID-19 quarantine on domestic violence calls and assaults (health reports and hospitalizations). We use a difference-in-difference model to compare the evolution of domestic violence against women in municipalities that enacted the quarantine in March 2020 versus those that never did. Then, we estimate the difference in the quarantine effect between municipalities with and without protective services for women. Domestic violence calls increased by 11.8% in the first quarter of the quarantine, while health reports reduced by 12.6% a quarter later. These effects came from municipalities with protective services for women, where female hospitalizations due to assault decreased as well. In contrast, municipalities without such services saw a decrease in domestic violence calls and an increase in health reports in the first quarter. The supply of protective services for women could be a factor that explains why COVID-19-induced quarantine effects on domestic violence varied across populations. Our results suggest that when domestic violence calls increased, protective services actions prevented domestic violence from escalating into more severe cases, such as assaults.

Large motherhood penalties in US administrative microdata.

Whereas previous research has described motherhood penalties in US survey data, we leverage administrative data on 811,000 quarterly earnings histories from the US Unemployment Insurance program. We analyze contexts where smaller motherhood penalties might be expected: couples where the woman outearns her male partner prior to childbearing, at firms that are headed by women, and at firms that are predominantly women. Our startling result is that none of these propitious contexts appear to diminish the motherhood penalty, and indeed, the gap often increases in magnitude over time following childbearing. We estimate one of the largest motherhood penalties in "female-breadwinner" families, where higher-earning women experience a 60% drop from their prechildbirth earnings relative to their male partners. Turning to proximate mechanisms, women are less likely to switch to a higher-paying firm postchildbearing than men and are substantially more likely to quit the labor force. On the whole, our findings are discouraging relative even to existing research on motherhood penalties.

[Evaluation of data on deaths due to COVID-19 from the databases of the Civil Registry (RC-Arpen), SIVEP-Gripe, and SIM in Brazil in 2020]. / Avaliação dos dados de mortes por COVID-19 nas bases dos cartórios do RC-Arpen, SIVEP-Gripe e SIM no Brasil em 2020.

This study compares the death records due to COVID-19 in 2020 for Brazilian territory. Three distinct databases were used: Civil Registry (RC-Arpen), Brazilian Mortality Information System (SIM), and Influenza Epidemiological Surveillance Information System (SIVEP-Gripe). We identified differences between the numbers of deaths due to COVID-19 in these databases, varying in each federative unit. The RC database is updated faster than the other two databases (SIM and SIVEP-Gripe) and it is most suited for monitoring and for studies covering recent periods. Despite the slower update, Brazilian Health Informatics Department (DATASUS) databases present geographically similar numbers and disclose more detailed data on deaths. This detailed information improves the DATASUS databases for studies that require more information about the patient and treatment.

Este estudo compara os registros de óbitos por COVID-19 em 2020 para todo o território nacional. Utilizamos três bases distintas: Registro Civil (RC-Arpen), Sistema de Informação sobre Mortalidade (SIM) e Sistema de Informação da Vigilância Epidemiológica da Gripe (SIVEP-Gripe). Há discordâncias entre os números de mortes por COVID-19 divulgados pelas diversas bases e essas diferenças variam em cada Unidade da Federação. A base do RC-Arpen é atualizada mais rapidamente que as outras duas bases do Departamento de Informática do Sistema Único de Saúde - DATASUS (SIM e SIVEP-Gripe), além de ser mais indicada para monitoramentos e pesquisas que abrangem períodos mais recentes. Apesar da atualização mais lenta, as bases do DATASUS apresentam números geograficamente similares e divulgam dados mais detalhados sobre as mortes. Esse detalhamento das informações torna as bases do DATASUS mais adequadas para pesquisas que demandam mais informações sobre o paciente e o tratamento.

Este estudio compara los registros de defunciones por COVID-19 en 2020 para todo el territorio brasileño. Se utilizaron tres bases diferentes: Registro Civil (RC-Arpen), Sistema de Información de Mortalidad (SIM) y Sistema de Información de Vigilancia Epidemiológica de la Gripe (SIVEP-Gripe). Existen discrepancias entre las cifras de muertes por COVID-19 comunicadas por las distintas bases de datos y estas diferencias varían en cada Unidad Federal. La base de datos RC se actualiza más rápidamente que las otras dos bases de datos del Departamento de Informática del Sistema Único de Salud - DATASUS (SIM y SIVEP-Gripe) y es más adecuada para el seguimiento y las encuestas que abarcan periodos más recientes. A pesar de que la actualización es más lenta, las bases de datos del DATASUS presentan cifras geográficamente similares y revelan datos más detallados sobre las muertes. Este detalle de la información hace que las bases de datos del DATASUS sean más adecuadas para investigaciones que requieren más información sobre el paciente y el tratamiento.

Avaliação dos dados de mortes por COVID-19 nas bases dos cartórios do RC-Arpen, SIVEP-Gripe e SIM no Brasil em 2020 / Evaluation of data on deaths due to COVID-19 from the databases of the Civil Registry (RC-Arpen), SIVEP-Gripe, and SIM in Brazil in 2020 / Evaluación de datos de muertes por COVID-19 en las bases de datos del Registro Civil-Arpen, SIVEP-Gripe y SIM en Brasil en 2020

Este estudo compara os registros de óbitos por COVID-19 em 2020 para todo o território nacional. Utilizamos três bases distintas: Registro Civil (RC-Arpen), Sistema de Informação sobre Mortalidade (SIM) e Sistema de Informação da Vigilância Epidemiológica da Gripe (SIVEP-Gripe). Há discordâncias entre os números de mortes por COVID-19 divulgados pelas diversas bases e essas diferenças variam em cada Unidade da Federação. A base do RC-Arpen é atualizada mais rapidamente que as outras duas bases do Departamento de Informática do Sistema Único de Saúde - DATASUS (SIM e SIVEP-Gripe), além de ser mais indicada para monitoramentos e pesquisas que abrangem períodos mais recentes. Apesar da atualização mais lenta, as bases do DATASUS apresentam números geograficamente similares e divulgam dados mais detalhados sobre as mortes. Esse detalhamento das informações torna as bases do DATASUS mais adequadas para pesquisas que demandam mais informações sobre o paciente e o tratamento.

This study compares the death records due to COVID-19 in 2020 for Brazilian territory. Three distinct databases were used: Civil Registry (RC-Arpen), Brazilian Mortality Information System (SIM), and Influenza Epidemiological Surveillance Information System (SIVEP-Gripe). We identified differences between the numbers of deaths due to COVID-19 in these databases, varying in each federative unit. The RC database is updated faster than the other two databases (SIM and SIVEP-Gripe) and it is most suited for monitoring and for studies covering recent periods. Despite the slower update, Brazilian Health Informatics Department (DATASUS) databases present geographically similar numbers and disclose more detailed data on deaths. This detailed information improves the DATASUS databases for studies that require more information about the patient and treatment.

Este estudio compara los registros de defunciones por COVID-19 en 2020 para todo el territorio brasileño. Se utilizaron tres bases diferentes: Registro Civil (RC-Arpen), Sistema de Información de Mortalidad (SIM) y Sistema de Información de Vigilancia Epidemiológica de la Gripe (SIVEP-Gripe). Existen discrepancias entre las cifras de muertes por COVID-19 comunicadas por las distintas bases de datos y estas diferencias varían en cada Unidad Federal. La base de datos RC se actualiza más rápidamente que las otras dos bases de datos del Departamento de Informática del Sistema Único de Salud - DATASUS (SIM y SIVEP-Gripe) y es más adecuada para el seguimiento y las encuestas que abarcan periodos más recientes. A pesar de que la actualización es más lenta, las bases de datos del DATASUS presentan cifras geográficamente similares y revelan datos más detallados sobre las muertes. Este detalle de la información hace que las bases de datos del DATASUS sean más adecuadas para investigaciones que requieren más información sobre el paciente y el tratamiento.

Carbohydrate complexity and proportion of serum FSH isoforms reflect pituitary-ovarian activity in perimenopausal women and depot medroxyprogesterone acetate users.

BACKGROUND: FSH is synthesized and secreted in multiple glycosylation variants with different oligosaccharide structures; the endocrine milieu regulates the composition of FSH carbohydrate moiety. OBJECTIVES: To characterize serum FSH isoforms according to their sialic acid content and oligosaccharide complexity in regularly menstruating women and in depot medroxyprogesterone acetate (DMPA) users during the menopausal transition. Subjects and methods Ten regularly menstruating perimenopausal women aged 45-52, with mid-follicular phase FSH levels < or =10 IU/l and 10 regularly menstruating women, aged 20-39, were included. Blood samples were collected on the ninth day of the menstrual cycle. Twenty DMPA users were divided into two groups (n = 10) according to age: DMPA(1), age range 20-39 and DMPA(2), age range 45-52. Blood samples were collected 90 +/- 5 days after the last injection of DMPA. Oestradiol (E(2)), inhibin B (Inh B), Pro-alphaC levels and the relative abundance of FSH isoforms on the basis of charge (preparative isoelectric focusing) and carbohydrate complexity (Concanavalin A chromatography) were determined. RESULTS: Decreased Inh B and moderately elevated E(2) levels were observed in perimenopausal women associated with an increase in FSH sialylation and a decrease in its oligosaccharide complexity. DMPA induced changes in the hormonal profile and FSH molecular microheterogeneity; the secreted hormone was more heterogeneous and its oligosaccharides were less complex under this condition. CONCLUSION: Serum FSH glycoforms with increased sialylation and decreased oligosaccharide complexity reflect the decline of the gonadal activity induced either by age or by the use of a DMPA as a contraceptive.