Revista brasileira de epidemiologia = Brazilian journal of epidemiology最新文献

Objective: To analyze the trend and spatial pattern of intimate partner rape reports against women in Northeast Brazil.

Methods: Ecological time-series study and spatial analysis with secondary data from the Notifiable Diseases Information System between 2013 and 2022. Gross rape rates were calculated by type of intimate partner and by age group of the victim. Prais-Winsten regression was used to calculate the trend, and the global and local Moran indices were used for spatial analysis.

Results: A total of 5,542 cases of intimate partner rape were reported. Spousal rates ranged from 0.34/100,000 women in 2013 to 0.51/100,000 in 2017, with greater increases between 2018 (1.04/100 thousand) and 2022 (1.28/100 thousand). There was an upward trend in the Northeast as a whole (APC=19.47; 95%CI 15.88-23.22) and in almost all states, except Paraíba and Sergipe. Cases perpetrated by boyfriends (APC=23.90; 95%CI 12.80-36.09) and among women aged 15 to 19 years (APC=22.63; 95%CI 4.18-44.35) showed the highest annual variation. A concentration of high rates was observed in several municipalities in the northwest of Ceará and southeast of Pernambuco.

Conclusion: The trend in intimate partner rape rates against women increased in the Northeast, especially among younger women and by boyfriends, with a greater agglomeration of notifications in Ceará and Pernambuco.

Objective: To evaluate the impact of the state action-research project on vaccination coverage in children under two years of age in the state of Minas Gerais, according to the size of the municipalities, comparing the years 2021 and 2022.

Methods: This is a study nested within the state action-research project, a before-after community clinical trial carried out in 212 municipalities in the state of Minas Gerais. This study used secondary data on Vaccination Coverage (VC), Homogeneity of Vaccines (HVC) and Abandonment rate of multi-dose vaccines. After classifying municipalities by size and vaccination coverage rates were equitably classified, an analysis of secondary data on 12 immunobiologicals indicated for the age group in question and their abandonment rate of multi-dose vaccines was carried out.

Results: There was an increase in the proportion of municipalities classified as small that reached the vaccination coverage target set by the National Immunization Program (PNI) after the action-research project was carried out. There was an increase in the proportion of small municipalities classified as having a low abandonment rate for the rotavirus vaccine, in the adequate homogeneity of vaccination coverage and in the classification of risk as very low risk and low and medium risk, all with a statistically significant difference.

Conclusion: There was an influence of municipal size on the effectiveness of the actions applied to increase vaccination coverage, explaining that proposing individualized actions for each municipality is essential to improve vaccination coverage.

Objective: To analyze the survival of patients with Chagas disease, beneficiaries of social security and social assistance, in Brazil, from 1942 to 2016.

Methods: This is a retrospective cohort study with data from the Brazilian Ministry of Social Security. The event of interest was death, and the survival functions were estimated by the Kaplan-Meier and Cox regression methods.

Results: In the period "onset of the disease until death", women (HR=0.54; 95%CI 0.43-0.53) and receiving social security benefits (HR=0.13; 95%CI 0.11-0.23) were associated with longer survival. Lower survival was associated with the cardiac form of the disease (HR=2.64; 95%CI 2.23-3.12), living in a rural area (HR=1.23; 95%CI 1.14-1.21), and manifestation of the disease between the years 2000 and 2016 (HR=5.32; 95%CI 4.74-5.93). Likewise, in the period "work disability until death", women (HR=0.51; 95%CI 0.41-0.52) and receiving social security benefits (HR=0.24; 95%CI 0,14-0.45) were associated with longer survival, as well as the cardiac form of the disease (HR=1.95; 95%CI 1.83-2.13), living in a rural area (HR=1.31; 95%CI 1.21-1.54), and manifestation of the disease between 2000 and 2016 (HR=1.53; 95%CI 1.33-1.71) were associated with lower survival.

Conclusion: The main predictors of mortality and survival of patients with Chagas disease who receive social security and assistance benefits in Brazil were presented. These findings can guide the definition of priorities for follow-up actions by Primary Health Care, currently recommended for the longitudinal management of the disease.

Objective: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a significant burden in Brazil and its Amazonian region. This study focused on the "riverine municipalities" and hypothesizes the presence of TB clusters in the area. We also aimed to train a machine learning model to differentiate municipalities classified as hot spots vs. non-hot spots using disease surveillance variables as predictors.

Methods: Data regarding the incidence of TB from 2019 to 2022 in the riverine town was collected from the Brazilian Health Ministry Informatics Department. Moran's I was used to assess global spatial autocorrelation, while the Getis-Ord GI* method was employed to detect high and low-incidence clusters. A Random Forest machine-learning model was trained using surveillance variables related to TB cases to predict hot spots among non-hot spot municipalities.

Results: Our analysis revealed distinct geographical clusters with high and low TB incidence following a west-to-east distribution pattern. The Random Forest Classification model utilizes six surveillance variables to predict hot vs. non-hot spots. The machine learning model achieved an Area Under the Receiver Operator Curve (AUC-ROC) of 0.81.

Conclusion: Municipalities with higher percentages of recurrent cases, deaths due to TB, antibiotic regimen changes, percentage of new cases, and cases with smoking history were the best predictors of hot spots. This prediction method can be leveraged to identify the municipalities at the highest risk of being hot spots for the disease, aiding policymakers with an evidenced-based tool to direct resource allocation for disease control in the riverine municipalities.

Objective: To analyze the factors associated with the individual use of insect repellent by women of childbearing age living in area endemic for arboviruses in Fortaleza, Brazil.

Methods: This is a cohort study carried out between 2018 and 2019 with women aged between 15 and 39 years in Fortaleza, state of Ceará, Brazil. A total of 1,173 women users of one of the four selected primary health care units participated in the study. The outcome was divided into: continued use, discontinued use, and nonuse of insect repellent. Crude and adjusted multinominal logistic regression analysis was carried out guided by a hierarchical model, with presentation of the respective odds ratio (OR) and 95% confidence intervals (95%CI). The independent variables include: socioeconomic and demographic data, environmental and sanitary characteristics, knowledge of the insect repellent, and behavioral and pregnancy-related aspects.

Results: Only 28% of the participants reported using insect repellent during the two waves of the cohort. Women with higher education (OR=2.55; 95%CI 1.44-4.51); who are employed (OR=1.51; 95%CI 1.12-2.03); who received guidance from healthcare professionals (OR=1.74; 95%CI 1.28-2.36) and the media (OR=1.43; 95%CI 1.01-2.02); who intensified precautions against mosquitoes during the epidemic (OR=3.64; 95%CI 2.29-5.78); and who were pregnant between 2016 and 2019 (OR=2.80; 95%CI 1.83-4.30) had increased odds for continued use of insect repellent.

Conclusion: The use of insect repellent among women of childbearing age was associated with a higher level of education, employment, guidance on insect repellent provided by healthcare professionals and the media, behavioral changes to protect against mosquitoes during the Zika virus epidemic, and pregnancy when occurring as of the beginning of the epidemic period.

Objective: To detect spatial and spatiotemporal clusters of urban arboviruses and to investigate whether the social development index (SDI) and irregular waste disposal are related to the coefficient of urban arboviruses detection in São Luís, state of Maranhão, Brazil.

Methods: The confirmed cases of Dengue, Zika and Chikungunya in São Luís, from 2015 to 2019, were georeferenced to the census tract of residence. The Bayesian Conditional Autoregressive regression model was used to identify the association between SDI and irregular waste disposal sites and the coefficient of urban arboviruses detection.

Results: The spatial pattern of arboviruses pointed to the predominance of a low-incidence cluster, except 2016. For the years 2015, 2016, 2017, and 2019, an increase of one unit of waste disposal site increased the coefficient of arboviruses detection in 1.25, 1.09, 1.23, and 1.13 cases of arboviruses per 100 thousand inhabitants, respectively. The SDI was not associated with the coefficient of arboviruses detection.

Conclusion: In São Luís, spatiotemporal risk clusters for the occurrence of arboviruses and a positive association between the coefficient of arbovirus detection and sites of irregular waste disposal were identified.

Objective: To assess the social, metabolic, and lifestyle determinants of consumption of fruits, vegetables, and greens (FVG) and ultra-processed food (ULT) in adults from Pernambuco.

Methods: Cross-sectional and analytical study, conducted in 2015/2016. In addition to sociodemographic variables, the determinants of lifestyle were level of physical activity, alcohol consumption, tobacco use, and metabolic variables were self-reported hypertension, blood glucose, and Body Mass Index (BMI). Consumption was measured by the Food Frequency Questionnaire, then created the Frequency of Consumption Index (SFI) of the mean intake of ULT and FVG foods. The indices of FVG and ULT consumption were transformed into quartiles and these variables were included in the multinomial logistic regression, considering their determinants when p<0.05.

Results: The sample was representative of the state, with 1,067 people being interviewed, whose intake of ULT was higher than that of FVG in the lowest and highest quartile of the consumption index. Consumption of fruit and vegetables was higher in higher consumption of alcoholic beverages (p=0.031) and BMI>25 kg/m2 (p=0.047); and lower in the lowest income (p=0.001). ULT intake was higher in young adults (p=0.005), lower income (p=0.044), and controlled blood glucose (p=0.021). Rural areas were 52% less exposed to medium-high ULT consumption (p<0.006).

Conclusion: Higher rate of ULT consumption in relation to fresh foods, with income as a common determinant, inversely associated with ULT intake and directly related to FVG, which demands structuring policies.

Objective: To longitudinally assess domestic violence (DV) during the postpartum period, identifying types, patterns and determinants of DV, according to mothers' reports in Fortaleza, Brazil.

Methods: Data from the Iracema-COVID cohort study interviewed at home mothers who gave birth in the first wave of COVID-19, at 18 and 24 months after birth. Patterns of reported DV were classified as follows: no DV, interrupted DV, started DV and persistent DV. Adjusted multinomial logistic regressions were used to assess factors associated with persistent DV.

Results: DV was reported by 19 and 24% of the mothers at 18 and 24 months postpartum, respectively, a 5 percentage points increase. Persistent DV was present in 11% of the households in the period. The most frequent forms of DV were verbal aggression, reported by 17-20% of the mothers at 18 and 24 months, respectively; drunkenness or use of drugs at home, present in 3-5% of the households; physical aggression, reported by 1.2-1.6% of the mothers. Households with two or more forms of DV increased from 2 to 12% in the period. Adjusted factors associated with persistent DV were maternal common mental disorder, family headed by the mother and head of family's poor schooling. Food insecurity was associated with starting DV.

Conclusion: Prevalence of DV was considerably high in the postpartum period. DV prevention policies should rely on improving care to women's mental health; preventing food insecurity; and fostering the educational level of young people of both sexes.

Objective: To calculate the rate of tuberculosis recurrence, estimate its average time until recurrence, and identify factors associated with recurrence in Brazil.

Methods: Retrospective cohort study with a linked database from the Notifiable Diseases Information System. The study included individuals diagnosed with tuberculosis in 2015, focusing on those who experienced their first recurrence within 6.5 years. We estimated the relative risk (RR) and its 95% confidence interval (95%CI), as well as the population attributable fraction (PAF) or the population preventable fraction (PPF) of associated factors.

Results: Within a 6.5-year period, 3,253 individuals (6.5%) experienced tuberculosis recurrence, with a median time of 2.2 years. Positively associated factors included: male sex (RR: 1.4; 95%CI 1.3-1.5; PAF: 22.9%), age 30 to 59 years (RR: 3.0; 95%CI 1.6-5.7; PAF: 36.0%), black race (RR: 1.3; 95%CI 1.2-1.5; PAF: 3.5%), mixed race (RR: 1.3; 95%CI 1.2-1.4; PAF: 10.6%), deprivation of liberty (RR: 1.9; 95%CI 1.7-2.1; PAF: 9.1%), pulmonary/mixed clinical form (RR: 1.7; 95%CI 1.4-1.9; PAF: 37.1%), acquired immunodeficiency syndrome diagnosis (RR: 1.8; 95%CI 1.5-1.9; PAF: 4.3%), and alcohol use (RR: 1.2; 95%CI 1.1-1.3; PAF: 2.9%). Negatively associated factors were: 12 or more years of schooling (RR: 0.5; 95%CI 0.4-0.6; PPF: 3.3%) and supervised treatment (RR: 0.9; 95%CI 0.8-0.9; PPF: 4.4%).

Conclusion: This study revealed high tuberculosis recurrence rates in Brazil, influenced by sociodemographic, compartmental, and social factors, both positively and negatively impacting disease recurrence.

Objective: To analyze the influence of individual and contextual factors of the hospital and the municipality of care on the survival of patients with Severe Acute Respiratory Syndrome due to COVID-19.

Methods: Hospital cohort study with data from 159,948 adults and elderly with Severe Acute Respiratory Syndrome due to COVID-19 hospitalized from January 1 to December 31, 2022 and reported in the Influenza Epidemiological Surveillance Information System. The contextual variables were related to the structure, professionals and equipment of the hospital establishments and socioeconomic and health indicators of the municipalities. The outcome was hospital survival up to 90 days. Survival tree and Kaplan-Meier curves were used for survival analysis.

Results: Hospital lethality was 30.4%. Elderly patients who underwent invasive mechanical ventilation and were hospitalized in cities with low tax collection rates had lower survival rates compared to other groups identified in the survival tree (p<0.001).

Conclusion: The study indicated the interaction of contextual factors with the individual ones, and it shows that hospital and municipal characteristics increase the risk of death, highlighting the attention to the organization, operation, and performance of the hospital network.