RESUMO: Objetivo: Avaliar a prevalência dos indicadores de doenças crônicas não transmíssiveis (DCNT), incluindo exames laboratoriais, na população de mulheres brasileiras em idade reprodutiva segundo o recebimento do benefício Bolsa Família (BF). Métodos: Consideraram-se as 3.131 mulheres de 18 a 49 anos que participaram da submamostra de exames laboratoriais da Pesquisa Nacional de Saúde (PNS). Foram comparados indicadores entre as mulheres em idade reprodutiva (18 a 49 anos) que disseram ter ou não Bolsa Família e calculados prevalência e intervalo de confiança (IC) usando χ2 de Pearson. Resultados: Observou-se que as mulheres em idade reprodutiva beneficiárias do BF quando comparadas às não beneficiárias têm piores desfechos em saúde, como maior ocorrência de sobrepeso (33,5%) e obesidade (26,9%) (p < 0,001), hipertensão 13,4% versus 4,4% (p < 0,001), uso de tabaco (11,2%) versus 8,2% (p = 0,029), além de 6,2% perceberem sua saúde pior, em comparação a 2,4% das mulheres não beneficiárias (p<0,001). Conclusão: Diversos indicadores de DCNT tiveram pior desempenho entre as mulheres em idade reprodutiva beneficiárias do BF. Destaca-se que essa não é uma relação causal, sendo o BF um marcador de desigualdade entre mulheres. O benefício tem sido direcionado à população com maior necessidade em saúde, buscando assim reduzir iniquidades.
Background: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde, IVS) is a measure that combines socioeconomic and environmental variables in the same indicator and allows for the analysis of the characteristics of population groups residing in census tracts, grouping them into four health risk areas (low, medium, high and very high risk) in addition to showing inequalities in the epidemiological profile of different social groups. This index was developed by the Municipal Health Secretariat of Belo Horizonte to guide health planning. Objective: The aim of the study is to produce a methodology for obtaining reliable estimates for tobacco smoking in small areas for which the IVS was not designed. Methods: The Vigitel dataset from 2006 to 2013 was used to obtain estimates of the prevalence of smokers based on the IVS employing small area estimation methods that use data from a larger domain to obtain estimates in smaller areas. For indirect estimates, the covariates included were sanitation, housing, education, income, and social and health factors. Post-stratification weights were used according to the IVS based on the population of the 2010 census. Results: From 2006 to 2009, 16.2% (95% CI: 13.6-14.8%) of the adult population in Belo Horizonte were smokers, and 14.8% (95% CI: 14.0-15.6%) were smokers between 2010 and 2013. The very high-risk population maintained a high prevalence over the same period of 21.1% (95% CI: 17.1-25.0%) between 2006 and 2009 and 20.8% (95% CI: 17.0-24.6%) between 2010 and 2013, while in the low-risk group, the prevalence in the same period fell from 14.9% (95% CI: 13.7-16.2%) to 11.8% (95% CI, 10.6-13.1%). Conclusions: The present study identified differences in the profile of smokers by the IVS in the city of Belo Horizonte. While the smoking prevalence declined in richer areas, it remained high in poor areas. This methodology can be used to produce reliable estimates for subgroups with greater vulnerability in small areas and thus subsidize the formulation, monitoring and evaluation of public health policies and programmes aimed at smoking.
Objective: To compare the prevalence of and trend in risk and protective factors for chronic non-communicable diseases (NCDs) among women beneficiaries and non-beneficiaries of Bolsa Família from 2016 to 2019. Methods: This is a cross-sectional time-series study. We estimated the prevalence and prevalence ratios, both crude and adjusted for age and schooling, of NCD indicators with their respective confidence intervals, using the Poisson regression model. A time-trend analysis was also performed employing a simple linear regression model, regarding the indicators as the outcome variable and the year of the survey as the explanatory variable. Results: Women beneficiaries were more exposed to risk factors for NCDs compared to non-beneficiaries. Prevalence ratios adjusted for smokers were 1.15 (1.07 – 1.24), for overweight were 1.08 (1.03 – 1.14), and for obesity were 1.09 (1.04 – 1.14), while the recommended fruit and vegetable consumption was 0.93 (0.87 – 0.99); they also showed lower practice of leisure-time physical activities (0.88; 0.82 – 0.93), spent more time watching TV (1.08; 1.02 – 1.13), had worse self-rated health status (1.12; 1.04 – 1.21), and lower rates of mammography (0.80; 0.71 – 0.90) and pap smear (0.93; 0.88 – 0.98). Among the beneficiaries, the trend analysis showed an increased prevalence of overweight, from 55.9 to 62.6%, and screen time except for TV, from 13.5 to 27.8%. Conclusion: NCD risk factors were higher among women beneficiaries of Bolsa Família, indicating the importance of maintaining affirmative policies for this vulnerable population.
Este estudo tem como objetivo fornecer dados estimados de mortes por suicídio após o início da Pandemia de Covid-19, com base em um modelo de previsão com dados do SIM, entre os anos de 2008 a 2019. No presente estudo foi utilizada uma avaliação da série temporal "mortes por suicídio" usando o modelo SARIMA (Seasonal Autoregressive Integrated Moving Average) para avaliar e prever suicídios após a pandemia de Covid-19, por meio da metodologia "Box-Jenkins". Os dados de óbito por suicídio entre 2008 e 2019 foram extraídos pelo DATASUS e utilizados com o objetivo de prever, com base nos dados anteriores, comportamentos futuros. O número esperado de suicídios nos anos de 2020 e 2021, considerando um intervalo de confiança de 95% na análise univariada, poderia variar de 12.844 a 14.983 e 13.025 a 15.640 respectivamente, o que reflete uma taxa de mortalidade por suicídio de 6,06 a 7,07 em 2020 e 6,09 a 7,31 em 2021. Este estudo forneceu dados estimados sobre mortes por suicídio após o início da pandemia de Covid-19, mostrando aumento constante, em um modelo que se mostrou adequado a esses dados. Como o Covid-19 é um evento externo que pode atrapalhar essas estimativas, ainda precisamos conhecer os efeitos da pandemia nas taxas de suicídio, que podem ser comparados com os achados aqui apresentados.
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