Análise calorimétrica de pastas de cimento Portland contendo polímero superabsorvente (SAP) e nanopartículas de sílica (NS)

A aplicação da técnica de calorimetria por condução isotérmica possibilita a avaliação da velocidade das reações de hidratação de forma simplificada e eficiente, ao longo do tempo, pelas curvas de evolução de calor. Essa técnica pode ser a ferramenta adequada para a avaliação do processo de dessorção do polímero superabsorvente (SAP), parâmetro fundamental que determina a eficiência do polímero como agente mitigador da retração autógena. Com o uso da calorimetria foi possível avaliar o comportamento do SAP durante o estado fresco e a mudança que a nanosílica (NS) causou na cinética de hidratação dos compostos cimentícios. Nas pastas estudadas nesse trabalho, observou-se um leve retardo na ocorrência do pico principal de hidratação do C3S nas pastas contendo SAP e uma aceleração das reações de hidratação das pastas contendo NS. Notou-se ainda que quanto maior a quantidade de SAP e de NS, maior foi a quantidade de calor liberado, o que pode ser correlacionado com maior formação de hidratos.Palavras-chave: calorimetria, hidratação, polímero superabsorvente, nanosílica.

Main and moderated effects of multimorbidity and depressive symptoms on cognition

Objective: Multimorbidity, or the occurrence of two or more chronic conditions, is a global challenge, with implications for mortality, morbidity, disability, and life quality. Psychiatric disorders are common among the chronic diseases that affect patients with multimorbidity. It is still not well understood whether psychiatric symptoms, especially depressive symptoms, moderate the effect of multimorbidity on cognition. Methods: We used a large (n=2,681) dataset to assess whether depressive symptomatology moderates the effect of multimorbidity on cognition using structural equation modelling. Results: It was found that the more depressive symptoms and chronic conditions, the worse the cognitive performance, and the higher the educational level, the better the cognitive performance. We found a significant but weak (0.009; p = 0.04) moderating effect. Conclusion: We have provided the first estimate of the moderating effect of depression on the relation between multimorbidity and cognition, which was small. Although this moderation has been implied by many previous studies, it was never previously estimated

Multimorbidity worsened anxiety and depression symptoms during the COVID-19 pandemic in Brazil

Multimorbidity is a global health issue impacting the quality of life of all ages. Multimorbidity with a mental disorder is little studied and is likely to have been affected by the COVID-19 pandemic. We used a survey of 14,007 respondents living in Brazil to investigate whether people who already had at least one chronic medical condition had more depression and anxiety symptoms during social distancing in 2020. Generalized linear models and structural equation modelling were used to estimate the effects. A 19 % and 15 % increase in depressive symptoms were found in females and males, respectively, for each unit of increase in the observed value of reported chronic disease. Older subjects presented fewer symptoms of depression and anxiety. There was a 16 % increase in anxiety symptoms in females for each unit increase in the reported chronic disease variable and a 14 % increase in males. Younger subjects were more affected by anxiety symptoms in a dose-response fashion. High income was significantly related to fewer depressive and anxiety symptoms in both males and females. Physical activity was significantly associated with fewer anxiety and depression symptoms. Structural equation modelling confirmed these results and provided further insight into the hypothesised paths

Inequalities in the prevalence of major depressive disorder in Brazilian slum populations : a cross-sectional analysis

The mental health of slum residents is under-researched globally, and depression is a significant source of worldwide morbidity. Brazil's large slum-dwelling population is often considered part of a general urban-poor demographic. This study aims to identify the prevalence and distribution of depression in Brazil and compare mental health inequalities between slum and non-slum populations. Data were obtained from Brazil's 2019 National Health Survey. Slum residence was defined based on the UN-Habitat definition for slums and estimated from survey responses. Doctor-diagnosed depression, Patient Health Questionnaire (PHQ-9)-screened depression and presence of undiagnosed depression (PHQ-9-screened depression in the absence of a doctor's diagnosis) were analysed as primary outcomes, alongside depressive symptom severity as a secondary outcome. Prevalence estimates for all outcomes were calculated. Multivariable logistic regression models were used to investigate the association of socioeconomic characteristics, including slum residence, with primary outcomes. Depressive symptom severity was analysed using generalised ordinal logistic regression. Nationally, the prevalence of doctor diagnosed, PHQ-9 screened and undiagnosed depression were 9.9% (95% confidence interval (CI): 9.5-10.3), 10.8% (95% CI: 10.4-11.2) and 6.9% (95% CI: 6.6-7.2), respectively. Slum residents exhibited lower levels of doctor-diagnosed depression than non-slum urban residents (8.6%; 95% CI: 7.9-9.3 v. 10.7%; 95% CI: 10.2-11.2), while reporting similar levels of PHQ-9-screened depression (11.3%; 95% CI: 10.4-12.1 v. 11.3%; 95% CI: 10.8-11.8). In adjusted regression models, slum residence was associated with a lower likelihood of doctor diagnosed (adjusted odds ratio (adjusted OR): 0.87; 95% CI: 0.77-0.97) and PHQ-9-screened depression (adjusted OR: 0.87; 95% CI: 0.78-0.97). Slum residents showed a greater likelihood of reporting less severe depressive symptoms. There were significant ethnic/racial disparities in the likelihood of reporting doctor-diagnosed depression. Black individuals were less likely to report doctor-diagnosed depression (adjusted OR: 0.66; 95% CI: 0.57-0.75) than white individuals. A similar pattern was observed in Mixed Black (adjusted OR: 0.72; 95% CI: 0.66-0.79) and other (adjusted OR: 0.63; 95% CI: 0.45-0.88) ethnic/racial groups. Slum residents self-reporting a diagnosis of one or more chronic non-communicable diseases had greater odds of exhibiting all three primary depression outcomes. Substantial inequalities characterise the distribution of depression in Brazil including in slum settings. People living in slums may have lower diagnosed rates of depression than non-slum urban residents. Understanding the mechanisms behind the discrepancy in depression diagnosis between slum and non-slum populations is important to inform health policy in Brazil, including in addressing potential gaps in access to mental healthcare

Fiscal austerity measures hamper noncommunicable disease control goals in Brazil

Tendo em vista a Emenda Constitucional 95 e a crise econômica, são discutidos os possíveis efeitos que as medidas de austeridade podem ter no cumprimento das metas estabelecidas para o controle das doenças crônicas não transmissíveis (DCNT) no Brasil. As tendências de DCNT e os fatores de risco foram analisadas, de acordo com os dados de levantamentos epidemiológicos e os de mortalidade do estudo Global Burden of Disease. Os resultados indicam uma tendência de estabilidade nas taxas de mortalidade por DCNT em 2015 e 2016. Os brasileiros com baixa escolaridade, em geral, apresentam maior prevalência de fatores de risco e menor de fatores de proteção. Entre 2015 e 2017, tendências anteriormente favoráveis foram revertidas para indicadores como consumo de frutas e vegetais, atividade física, estabilização das taxas de uso de tabaco e aumento do consumo de álcool. Conclui-se que, se tais tendências forem mantidas, o Brasil poderá não cumprir as metas previamente acordadas em conjunto com a Organização Mundial de Saúde e as Nações Unidas para reduzir as DCNT e seus fatores de risco.Given the Constitutional Amendment 95 and the economic crisis, we discussed the possible effects of austerity measures on the achievement of the goals established for the control of chronic noncommunicable diseases (NCDs) in the country. The trends of NCDs and risk factors were analyzed, according to data from epidemiological surveys and mortality data from the Global Burden of Disease study. The resultsindicate a trend of stability in mortality rates by NCD in 2015 and 2016. Brazilians with low schooling, in general, have a higher prevalence of risk factors and a lower prevalence of protective factors. In the 2015-2017 period, previously favorable trends reversed for indicators such as fruit and vegetable consumption and physical activity, tobacco trends stabilized, and alcohol intake increased. In conclusion, should these trends be maintained, it is unlikely that Brazil will achieve the goals previously agreed upon with the World Health Organization and the United Nations to curb NCDs and their risk factors

Patterns of multimorbidity and some psychiatric disorders : a systematic review of the literature

OBJECTIVE: The presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic effect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in 2015. Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association. METHODS: We performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from 2015 to 2021. These were processed using Covidence, including quality assessment. RESULTS: This resulted in the inclusion of 26 papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies. CONCLUSIONS: There is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021216101, identifier: CRD42021216101

Cohort profile: the 100 million Brazilian cohort

The creation of The 100 Million Brazilian Cohort was motivated by the availability of high quality but dispersed social and health databases in Brazil and the need to integrate data and evaluate the impact of policies aiming to improve the social determinants of health (e.g. social protection policies) on health outcomes, overall and in subgroups of interest in a dynamic cohort. • The baseline of The 100 Million Brazilian Cohort comprises 131 697 800 low-income individuals in 35 358 415 families from 2011 to 2018. The Cohort population is mostly composed of children and young adults, with a higher proportion of females than the general Brazilian population, who identify themselves as Brown and live in the urban area of the country. • Exposure to social protection and the follow-up of individuals are obtained through: (i) deterministic linkage using the Social Identification Number (NIS) to link the Cohort baseline to social protection programmes and to periodically renewed socioeconomic information in Cadatro U ́ nico datasets; and/or (ii) non-deterministic linkage using the CIDACS-RL non-deterministic linkage tool, to link the Cohort baseline to administrative health care datasets such as mortality (Mortality Information System, SIM), disease notification (Information System for Notifiable Diseases, SINAN), birth information (Live Birth Information System, SINASC) and nutrition status (Food and Nutrition Surveillance System, SISVAN). • So far, studies have used The 100 Million Brazilian Cohort to investigate the socioeconomic and demographic determinants of leprosy, leprosy treatment outcomes and low birthweight and to evaluate the impact of the Bolsa Familia Programme (BFP) on leprosy and child mortality. Other studies are now being conducted that are of utmost relevance to the health inequalities of Brazil and many low- and middle-income countries, and many research opportunities are being opened up with the linkage of a range of health outcomes