Sleep duration, insomnia and cognitive performance in the Elsa-Brasil cohort: a cross-sectional analysis.

OBJECTIVE: To investigate the single and combined associations between sleep disturbances (sleep duration, insomnia symptoms in the last 30 nights, and daytime tiredness) and performance in cognitive tests. METHODS: Cross-sectional analysis of data from visit 2 (2012-2014) of the Longitudinal Study of Adult Health from a cohort of active and retired civil servants from six Brazilian capitals. Polynomial regression with quadratic term and multiple linear regression models were performed to assess single and combined associations between sleep disturbances and memory performance, fluency, executive functions, and global cognition. RESULTS: A total of 7,248 participants were included, with a mean age of 62.7 years (standard deviation [SD]=5.9), and 55.2% were women. Inverted U-shaped associations were observed between sleep duration and performance on all cognitive abilities, suggesting that durations shorter or longer than seven hours are associated with worse performance, regardless of age. Reported insomnia was associated with worse executive function (ß: -0.08; 95% confidence interval [CI]: -0.15 to -0.01), and the magnitudes of associations were higher for individuals with insomnia at two or more moments (ß: -0.12; 95%CI -0.19 to -0.05) or, especially, insomnia combined with short sleep (ß: -0.18; 95%CI -0.24 to -0.11). Insomnia in two or more periods was also associated with lower memory and global cognition. There was no association between any sleep disturbance tested and verbal fluency. Isolated daytime tiredness was not associated with performance in the evaluated tests. CONCLUSION: The results suggest that extreme sleep durations are detrimental to almost all cognitive abilities investigated, whereas insomnia appears to affect more severely the executive function.

Life satisfaction and ideal cardiovascular health score: A cross-sectional study from ELSA-Brasil.

OBJECTIVES: To investigate whether higher levels of life satisfaction are associated with a higher ideal cardiovascular health (CVH) score in middle-aged and older populations in the Brazilian context. METHOD: Cross-sectional analysis of 12,936 participants of the Brazilian Longitudinal Study of Adult Health, Visit 2 (2012-2014), aged 38-79 years. The response variables were the global, lifestyle, and biological ideal CVH scores, as defined by the American Heart Association Life's Simple 7. The scores were categorized as low, intermediate, and optimal. Life satisfaction was measured by the Satisfaction with the Life Scale. Multinomial logistic regression was used to estimate the magnitude with adjustment for potential confounding factors. Low scores were the categories of reference for the analyses. RESULTS: Only 10.5% of the participants had an optimal (≥5) global ideal CVH score. After total adjustment, 1 SD increment in the life satisfaction score was associated with an odds ratio (OR) of 1.05 (95% confidence interval [CI: 1.01-1.09]) and 1.15 (95% CI [1.07-1.23]) for intermediate and optimal global ideal CVH scores, respectively. Regarding the lifestyle ideal CVH score, the increment of 1 SD in the life satisfaction scale determined an OR of 1.11 (95% CI [1.06-1.15]) and 1.22 (95% CI [1.14-1.31]) for intermediate and optimal lifestyle ideal CVH score, respectively. Life satisfaction was not associated with the biological ideal CVH score. CONCLUSION: The results suggested that the higher the life satisfaction, the higher the CVH. The findings add to the knowledge of assets to promote CVH. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

ENDOCANNABINOID SYSTEM IN THE PARAVENTRICULAR NUCLEUS OF THE HYPOTHALAMUS MODULATES AUTONOMIC AND CARDIOVASCULAR CHANGES BUT NOT VASOPRESSIN RESPONSE IN A RAT HEMORRHAGIC SHOCK MODEL.

ABSTRACT: We evaluated the participation of the endocannabinoid system in the paraventricular nucleus of the hypothalamus (PVN) on the cardiovascular, autonomic, and plasma vasopressin (AVP) responses evoked by hemorrhagic shock in rats. For this, the PVN was bilaterally treated with either vehicle, the selective cannabinoid receptor type 1 antagonist AM251, the selective fatty acid amide hydrolase amide enzyme inhibitor URB597, the selective monoacylglycerol-lipase enzyme inhibitor JZL184, or the selective transient receptor potential vanilloid type 1 antagonist capsazepine. We evaluated changes on arterial pressure, heart rate, tail skin temperature (ST), and plasma AVP responses induced by bleeding, which started 10 min after PVN treatment. We observed that bilateral microinjection of AM251 into the PVN reduced the hypotension during the hemorrhage and prevented the return of blood pressure to baseline values in the posthemorrhagic period. Inhibition of local 2-arachidonoylglycerol metabolism by PVN treatment with JZL184 induced similar effects in relation to those observed in AM251-treated animals. Inhibition of local anandamide metabolism via PVN treatment with URB597 decreased the depressor effect and ST drop induced by the hemorrhagic stimulus. Bilateral microinjection of capsazepine mitigated the fall in blood pressure and ST. None of the PVN treatments altered the increased plasma concentration of AVP and tachycardia induced by hemorrhage. Taken together, present results suggest that endocannabinoid neurotransmission within the PVN plays a prominent role in cardiovascular and autonomic, but not neuroendocrine, responses evoked by hemorrhage.

Sleep duration, insomnia and cognitive performance in the Elsa-Brasil cohort: a cross-sectional analysis / Duração do sono, insônia e desempenho cognitivo na coorte Elsa-Brasil: uma análise transversal

ABSTRACT Objective: To investigate the single and combined associations between sleep disturbances (sleep duration, insomnia symptoms in the last 30 nights, and daytime tiredness) and performance in cognitive tests. Methods: Cross-sectional analysis of data from visit 2 (2012-2014) of the Longitudinal Study of Adult Health from a cohort of active and retired civil servants from six Brazilian capitals. Polynomial regression with quadratic term and multiple linear regression models were performed to assess single and combined associations between sleep disturbances and memory performance, fluency, executive functions, and global cognition. Results: A total of 7,248 participants were included, with a mean age of 62.7 years (standard deviation [SD]=5.9), and 55.2% were women. Inverted U-shaped associations were observed between sleep duration and performance on all cognitive abilities, suggesting that durations shorter or longer than seven hours are associated with worse performance, regardless of age. Reported insomnia was associated with worse executive function (β: -0.08; 95% confidence interval [CI]: -0.15 to -0.01), and the magnitudes of associations were higher for individuals with insomnia at two or more moments (β: -0.12; 95%CI -0.19 to -0.05) or, especially, insomnia combined with short sleep (β: -0.18; 95%CI -0.24 to -0.11). Insomnia in two or more periods was also associated with lower memory and global cognition. There was no association between any sleep disturbance tested and verbal fluency. Isolated daytime tiredness was not associated with performance in the evaluated tests. Conclusion: The results suggest that extreme sleep durations are detrimental to almost all cognitive abilities investigated, whereas insomnia appears to affect more severely the executive function.

RESUMO Objetivo: Investigar a associação isolada e combinada entre distúrbios do sono (duração do sono, sintomas de insônia nas últimas 30 noites e cansaço diurno) e desempenho em testes cognitivos. Métodos: Análise transversal dos dados da visita 2 (2012-2014) do Estudo Longitudinal de Saúde do Adulto de coorte de servidores públicos ativos e aposentados de seis capitais brasileiras. Regressão polinomial com termo quadrático e modelos de regressão linear múltipla foram realizados para avaliar associações isoladas e combinadas entre distúrbios do sono e desempenho na memória, fluência, funções executivas e cognição global. Resultados: Foram incluídos um total de 7.248 participantes, com média etária de 62,7 anos (desvio padrão [DP]=5,9), sendo 55,2% mulheres. Associações em forma de U invertido foram observadas entre duração do sono e desempenho em todas as habilidades cognitivas, sugerindo que durações menores ou maiores que sete horas estão associadas ao pior desempenho, independentemente da idade. O relato de insônia foi associado à pior função executiva (β: -0.08; IC95% -0.15 a -0.01), sendo as magnitudes das associações maiores para indivíduos com insônia em dois ou mais momentos (β: -0.12; intervalo de confiança [IC]95% -0.19 a -0.05) ou, especialmente, insônia combinada com sono curto (β: -0.18; IC95% -0.24 a -0.11). Insônia em dois ou mais períodos também foi associada à menor memória e cognição global. Não houve associação entre qualquer distúrbio do sono testado e fluência verbal. Cansaço diurno isolado não foi associado ao desempenho nos testes avaliados. Conclusão: Os resultados sugerem que a duração extrema do sono é prejudicial para quase todas as funções cognitivas investigadas, enquanto a insônia parece afetar mais fortemente a função executiva.

Association between ultra-processed food consumption and the incidence of type 2 diabetes: the ELSA-Brasil cohort.

BACKGROUND: Ultra-processed food (UPF) consumption increases the risk of type 2 diabetes in various high-income countries, with some variation in the magnitude across studies. Our objective was to investigate the association of UPF consumption and specific subgroups with incident type 2 diabetes in Brazilian adults. METHODS: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a multicenter cohort study of 15,105 adults (35-74 years) enrolled in public institutions in Brazil (2008-2010). We followed participants with two clinic visits (2012-2014; 2017-2019) and annual telephone surveillance. After excluding those with diabetes at baseline, who died or were lost in the follow-up, with missing data, with implausible energy food intake, or reporting bariatric surgery, there were 10,202 participants. We used the NOVA classification to assess UPF consumption based on a food frequency questionnaire. We defined type 2 diabetes by self-report, medication use, or comprehensive laboratory tests. We estimated relative risks (RR) and 95% confidence intervals (95% CI) using robust Poisson regression. RESULTS: Median UPF consumption was 372 g/day. Over 8.2 (0.7) years of follow-up, we detected 1799 (17.6%) incident cases. After adjustment for socio-demographics, family history of diabetes, and behavioral risk factors, comparing the fourth (≥ 566 g/day) with the first (< 236 g/day) quartile of UPF distribution, RR was 1.24 (1.10-1.39); every 150 g/day increments in UPF consumption resulted in a RR of 1.05 (1.03-1.07). Reclassifying natural beverages with added sweeteners as UPF increased risk (RR 1.40; 1.25-1.58). Among UPF subgroupings, consumption of processed meats and sweetened beverages increased diabetes risk, while yogurt and dairy sweets decreased the risk (p < 0.05). CONCLUSIONS: UPF consumption increased the incidence of type 2 diabetes in Brazilian adults, with heterogeneity across specific food items. These findings add to previous evidence for the role of UPFs in the development of diabetes and other chronic diseases, supporting recommendations to avoid their intake in diabetes prevention and management.

Impact of socioeconomic factors on lifestyle changes among employees of public higher education institutions in ELSA-Brasil during COVID-19 pandemic.

This study aimed to identify lifestyle changes and associated sociodemographic factors in women and men participating in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) cohort during the COVID-19 pandemic. Longitudinal study with 3,776 (aged 58.8 years; SD ± 8.5) employees of public higher education institutions in the second follow-up and the wave-COVID of ELSA-Brasil. Data collected using structured questionnaires. An exploratory analysis was performed using binary and multinomial logistic regression on the dependent variables with two and three categories, respectively, by obtaining crude and adjusted odds ratio estimates in SPSS 20.0, considering a p-value < 0.05. There was a reduction in physical activity of 195.5 (SD ± 1,146.4) metabolic equivalents per week in women and 240.5 (SD ± 1,474.2) in men, and in smoking by 15.2%. There was an increase in alcohol consumption in men and women (434.2 ± 5,144.0; and 366.1 ± 4,879.0, respectively), in the food quality score (0.8 ± 3.7, women; 0.5 ± 3.7, men), sleeping time (0.4 ± 1.2, women; 0.5 ± 1.1, men), screen time (1.7 ± 2.4, women; 1.4 ± 2.3, men), and sitting time (1.7 ± 2.6, women; 1.5 ± 2.4, men) (hours/day). In total, 18.6% increased the purchase of ultra-processed foods and 36% increased the purchase of natural foods. Age and work activity contributed to increase the chance of purchasing ultra-processed foods, and age and adherence to social distancing influenced the shift to a more sedentary behavior, while income and active work favored the increase in alcoholic beverage consumption. These factors should be considered when developing public policies to avoid individual behaviors that are harmful to health during pandemics.

Untangle the relationship of muscle mass and bone mineral content on handgrip strength: Results of ELSA-Brasil.

The study aims to investigate the independent association of muscle mass (MM) and bone mineral content (BMC) in the performance of the handgrip strength (HGS) test and whether there is effect modification by sex and age. In 12,491 participants from the ELSA-Brasil we estimated the associations between MM, BMC and HGS using linear regression models. All the analyses were performed for total population, also stratified for sex and age. For total population an interaction term was included between each explanatory variable of interest with sex and age to verify the presence of effect modification. We observed that the higher quintiles of MM and BMC were associated to an increasing in the mean of HGS compared to the first quintile, with greater magnitudes in men compared to women, also adults compared to elderly. When we estimated the independent effect of each exposure of interest, MM showed stronger effect in HGS in women, men and adults then BMC. In conclusion, we observed that higher amounts of MM and BMC are associated with higher HGS, regardless of sociodemographic characteristics, health conditions and lifestyle, with this effect being greater in men and adults.

Untangle the relationship of muscle mass and bone mineral content on handgrip strength: Results of ELSA-Brasil / Desvendando a relação entre massa muscular e conteúdo mineral ósseo na força de preensão palmar: Resultados do ELSA-Brasil

Abstract The study aims to investigate the independent association of muscle mass (MM) and bone mineral content (BMC) in the performance of the handgrip strength (HGS) test and whether there is effect modification by sex and age. In 12,491 participants from the ELSA-Brasil we estimated the associations between MM, BMC and HGS using linear regression models. All the analyses were performed for total population, also stratified for sex and age. For total population an interaction term was included between each explanatory variable of interest with sex and age to verify the presence of effect modification. We observed that the higher quintiles of MM and BMC were associated to an increasing in the mean of HGS compared to the first quintile, with greater magnitudes in men compared to women, also adults compared to elderly. When we estimated the independent effect of each exposure of interest, MM showed stronger effect in HGS in women, men and adults then BMC. In conclusion, we observed that higher amounts of MM and BMC are associated with higher HGS, regardless of sociodemographic characteristics, health conditions and lifestyle, with this effect being greater in men and adults.

Resumo O estudo tem como objetivo investigar a associação independente da massa muscular (MM) e conteúdo mineral ósseo (CMO) na realização do teste de força de preensão manual (FPM) e se há modificação do efeito por sexo e idade. Em 12.491 participantes do ELSA-Brasil estimamos as associações entre MM, CMO e FPM usando modelos de regressão linear. Todas as análises foram realizadas para a população total, também estratificada por sexo e idade. Para a população total foi incluído um termo de interação entre cada variável explicativa de interesse com sexo e idade para verificar a presença de modificação de efeito. Observamos que os maiores quintis de MM e BMC estiveram associados a um aumento na média da FPM em relação ao primeiro quintil, com maiores magnitudes em homens em relação a mulheres, também em adultos em relação a idosos. Quando estimamos o efeito independente de cada exposição de interesse, MM mostrou efeito mais forte na FPM em mulheres, homens e adultos do que BMC. Em conclusão, observamos que maiores quantidades de MM e BMC estão associadas a maior FPM, independentemente das características sociodemográficas, condições de saúde e estilo de vida, sendo esse efeito maior em homens e adultos.

Consumption of ultra-processed foods and eight-year risk of death from all causes and noncommunicable diseases in the ELSA-Brasil cohort.

Increased consumption of ultra-processed foods (UPF) is associated with higher incidences of many noncommunicable diseases (NCDs) and death from all causes. However, the association between UPF and cardiovascular disease (CVD) mortality remains controversial. Our study investigated whether UPF consumption is associated with a higher risk of death from all causes, NCDs, and CVD. This study includes 14,747 participants from the ELSA-Brasil cohort followed up over an eight-year period. The NOVA classification was used to estimate the proportion of UPF (grams/day) in one's diet. Cox regression was also applied. After adjustment for sociodemographic, health, and behavioural factors, a 10% increase in UPF in participants' diets raised the risk of death from all causes and NCDs by 10% (95%CI: 1.01-1.19) and 11% (95%CI:1.02-1.21), respectively. However, UPF consumption was not associated with CVD mortality. The findings support public policies aimed at reducing UPF consumption in an attempt to reduce the NCD burden.

Screening for Chagas disease from the electrocardiogram using a deep neural network.

BACKGROUND: Worldwide, it is estimated that over 6 million people are infected with Chagas disease (ChD). It is a neglected disease that can lead to severe heart conditions in its chronic phase. While early treatment can avoid complications, the early-stage detection rate is low. We explore the use of deep neural networks to detect ChD from electrocardiograms (ECGs) to aid in the early detection of the disease. METHODS: We employ a convolutional neural network model that uses 12-lead ECG data to compute the probability of a ChD diagnosis. Our model is developed using two datasets which jointly comprise over two million entries from Brazilian patients: The SaMi-Trop study focusing on ChD patients, enriched with data from the CODE study from the general population. The model's performance is evaluated on two external datasets: the REDS-II, a study focused on ChD with 631 patients, and the ELSA-Brasil study, with 13,739 civil servant patients. FINDINGS: Evaluating our model, we obtain an AUC-ROC of 0.80 (CI 95% 0.79-0.82) for the validation set (samples from CODE and SaMi-Trop), and in external validation datasets: 0.68 (CI 95% 0.63-0.71) for REDS-II and 0.59 (CI 95% 0.56-0.63) for ELSA-Brasil. In the latter, we report a sensitivity of 0.52 (CI 95% 0.47-0.57) and 0.36 (CI 95% 0.30-0.42) and a specificity of 0.77 (CI 95% 0.72-0.81) and 0.76 (CI 95% 0.75-0.77), respectively. Additionally, when considering only patients with Chagas cardiomyopathy as positive, the model achieved an AUC-ROC of 0.82 (CI 95% 0.77-0.86) for REDS-II and 0.77 (CI 95% 0.68-0.85) for ELSA-Brasil. INTERPRETATION: The neural network detects chronic Chagas cardiomyopathy (CCC) from ECG-with weaker performance for early-stage cases. Future work should focus on curating large higher-quality datasets. The CODE dataset, our largest development dataset includes self-reported and therefore less reliable labels, limiting performance for non-CCC patients. Our findings can improve ChD detection and treatment, particularly in high-prevalence areas.

Liver steatosis as a predictor of incident diabetes in adults: a prospective evaluation in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Increasing epidemiological evidence suggests a bidirectional relationship between non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes, and that NAFLD may precede and/or promote the development of diabetes. This study aimed to investigate whether liver steatosis is associated with the incidence of diabetes in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The ELSA-Brasil is an occupational cohort study of active or retired civil servants, aged 35-74 years, in six capital cities in Brazil. We excluded participants with diabetes at baseline, those who reported excessive alcohol consumption or with missing information on relevant covariates, and those with self-referred hepatitis or cirrhosis. In total, 8,166 individuals participated, and the mean duration of follow-up was 3.8 years. The Cox proportional regression model was used to estimate the adjusted hazard ratio (HR) for the associations. Abdominal ultrasonography was used to detect liver steatosis. In the follow-up period, the cumulative incidence of diabetes was 5.25% in the whole sample, 7.83% and 3.88% in the groups with and without hepatic steatosis, respectively (p < 0.001). Compared to those without steatosis, individuals with hepatic steatosis had an increased risk of developing diabetes (HR = 1.31; 95%CI: 1.09-1.56) after adjustment for potential confounders, including body mass index (BMI). Hepatic steatosis was an independent predictor of incident diabetes in the ELSA-Brasil cohort study. Physicians should encourage changes in lifestyle and screen for diabetes in patients with fatty liver.

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.

BACKGROUND: Left ventricular (LV) systolic dysfunction is associated with a >8-fold increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in screening for LV systolic dysfunction is limited by their availability to clinicians. We developed a novel deep learning-based approach that can use ECG images for the screening of LV systolic dysfunction. METHODS: Using 12-lead ECGs plotted in multiple different formats, and corresponding echocardiographic data recorded within 15 days from the Yale New Haven Hospital between 2015 and 2021, we developed a convolutional neural network algorithm to detect an LV ejection fraction <40%. The model was validated within clinical settings at Yale New Haven Hospital and externally on ECG images from Cedars Sinai Medical Center in Los Angeles, CA; Lake Regional Hospital in Osage Beach, MO; Memorial Hermann Southeast Hospital in Houston, TX; and Methodist Cardiology Clinic of San Antonio, TX. In addition, it was validated in the prospective Brazilian Longitudinal Study of Adult Health. Gradient-weighted class activation mapping was used to localize class-discriminating signals on ECG images. RESULTS: Overall, 385 601 ECGs with paired echocardiograms were used for model development. The model demonstrated high discrimination across various ECG image formats and calibrations in internal validation (area under receiving operation characteristics [AUROCs], 0.91; area under precision-recall curve [AUPRC], 0.55); and external sets of ECG images from Cedars Sinai (AUROC, 0.90 and AUPRC, 0.53), outpatient Yale New Haven Hospital clinics (AUROC, 0.94 and AUPRC, 0.77), Lake Regional Hospital (AUROC, 0.90 and AUPRC, 0.88), Memorial Hermann Southeast Hospital (AUROC, 0.91 and AUPRC 0.88), Methodist Cardiology Clinic (AUROC, 0.90 and AUPRC, 0.74), and Brazilian Longitudinal Study of Adult Health cohort (AUROC, 0.95 and AUPRC, 0.45). An ECG suggestive of LV systolic dysfunction portended >27-fold higher odds of LV systolic dysfunction on transthoracic echocardiogram (odds ratio, 27.5 [95% CI, 22.3-33.9] in the held-out set). Class-discriminative patterns localized to the anterior and anteroseptal leads (V2 and V3), corresponding to the left ventricle regardless of the ECG layout. A positive ECG screen in individuals with an LV ejection fraction ≥40% at the time of initial assessment was associated with a 3.9-fold increased risk of developing incident LV systolic dysfunction in the future (hazard ratio, 3.9 [95% CI, 3.3-4.7]; median follow-up, 3.2 years). CONCLUSIONS: We developed and externally validated a deep learning model that identifies LV systolic dysfunction from ECG images. This approach represents an automated and accessible screening strategy for LV systolic dysfunction, particularly in low-resource settings.

Racial discrimination predicts the increase in body weight and BMI in Black individuals from ELSA-Brasil cohort / Discriminação racial prediz o aumento do peso corporal e do IMC em indivíduos pretos da coorte ELSA-Brasil

Abstract We investigated whether racial discrimination accelerates the weight and Body Mass Index (BMI) gain in Blacks and Browns participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) in four years of follow-up. We compared body weight and BMI between the 1st (2008-2010) and 2nd visit (2012-2014) of 5,983 Blacks and Browns participants. Exposure to racial discrimination and covariates (age, sex, education, and research center) were obtained at the 1st visit. Linear mixed effects models stratified by race/skin color were used. Report of racial discrimination was more frequent among Blacks (32.1%) than Browns (6.3%). During the follow-up period, Blacks and Browns gained an average of 1.4kg and 1.2kg, respectively. This increase was greater among those who reported discrimination when compared to those who did not, both in Blacks (2.1kg vs.1.0kg, p < 0.001) and Browns (1.9kg vs. 1.1kg, p < 0.05). The results of the interaction between racial discrimination and time showed that Blacks, but not Browns, who reported racial discrimination had greater weight and BMI gains between visits. Our results suggest that reducing racial discrimination would contribute to prevent and/or control obesity increase in the country.

Resumo Investigou-se se a discriminação racial acelera o ganho de peso corporal e o Índice de Massa Corporal (IMC) em pretos e pardos participantes do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil) em quatro anos de seguimento. Comparou-se o peso corporal e o IMC entre a 1ª (2008-2010) e a 2ª visita (2012-2014) de 5.983 participantes pretos e pardos. A exposição à discriminação racial e às covariáveis ​​(idade, sexo, escolaridade e centro de pesquisa) foram obtidas na 1ª visita. Foram utilizados modelos lineares de efeitos mistos estratificados por raça/cor da pele. O relato de discriminação racial foi mais frequente entre pretos (32,1%) do que em pardos (6,3%). Durante o período de acompanhamento, pretos e pardos ganharam uma média de 1,4kg e 1,2kg, respectivamente. Esse aumento foi maior entre os que relataram discriminação, quando comparados aos que não relataram, tanto em pretos (2,1 kg vs. 1,0 kg, p < 0,001) quanto em pardos (1,9kg vs. 1,1kg, p < 0,05). Após ajustes, os pretos, mas não os pardos, que relataram discriminação racial apresentaram maiores ganhos de peso e IMC entre as visitas. Nossos resultados sugerem que a redução da discriminação racial pode contribuir para prevenir e/ou controlar o aumento da obesidade no país.

Spatial clusters of diabetes: individual and neighborhood characteristics in the ELSA-Brasil cohort study.

This study identified spatial clusters of type 2 diabetes mellitus among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two cities and verified individual and neighborhood socioeconomic environmental characteristics associated with the spatial clusters. A cross-sectional study was conducted with 4,335 participants. Type 2 diabetes mellitus was defined as fasting blood glucose ≥ 126mg/dL (7.0mmol/L), oral glucose tolerance test ≥ 200mg/dL (11.1mmol/L), or glycated hemoglobin ≥ 6.5% (48mmol/L); by antidiabetic drug use; or by the self-reported medical diagnosis of type 2 diabetes mellitus. Neighborhood socioeconomic characteristics were obtained from the 2011 Brazilian census. A spatial data analysis was conducted with the SaTScan method to detect spatial clusters. Logistic regression models were fitted to estimate the magnitude of associations. In total, 336 and 343 participants had type 2 diabetes mellitus in Belo Horizonte, Minas Gerais State (13.5%) and Salvador, Bahia State (18.5%), respectively. Two cluster areas showing a high chance of type 2 diabetes mellitus were identified in Belo Horizonte and Salvador. In both cities, participants living in the high type 2 diabetes mellitus cluster area were more likely to be mixed-race or black and have a low schooling level and manual work; these were also considered low-income areas. On the other hand, participants in the low type 2 diabetes mellitus cluster area of Salvador were less likely to be black and have low schooling level (university degree) and live in a low-income area. More vulnerable individual and neighborhood socioeconomic characteristics were associated with living in clusters of higher type 2 diabetes mellitus occurrence , whereas better contextual profiles were associated with clusters of lower prevalence.

Racial discrimination predicts the increase in body weight and BMI in Black individuals from ELSA-Brasil cohort.

We investigated whether racial discrimination accelerates the weight and Body Mass Index (BMI) gain in Blacks and Browns participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) in four years of follow-up. We compared body weight and BMI between the 1st (2008-2010) and 2nd visit (2012-2014) of 5,983 Blacks and Browns participants. Exposure to racial discrimination and covariates (age, sex, education, and research center) were obtained at the 1st visit. Linear mixed effects models stratified by race/skin color were used. Report of racial discrimination was more frequent among Blacks (32.1%) than Browns (6.3%). During the follow-up period, Blacks and Browns gained an average of 1.4kg and 1.2kg, respectively. This increase was greater among those who reported discrimination when compared to those who did not, both in Blacks (2.1kg vs.1.0kg, p < 0.001) and Browns (1.9kg vs. 1.1kg, p < 0.05). The results of the interaction between racial discrimination and time showed that Blacks, but not Browns, who reported racial discrimination had greater weight and BMI gains between visits. Our results suggest that reducing racial discrimination would contribute to prevent and/or control obesity increase in the country.

Association between carotid intima-media thickness and cognitive decline differs by race.

INTRODUCTION: Common carotid intima-media thickness (cIMT) is a marker of subclinical atherosclerosis and is associated with cognitive decline. Although carotid atherosclerosis is more frequent in White than in Black participants, little is known whether race modifies the association between cIMT and cognitive decline. METHODS: In this longitudinal analysis of the ELSA-Brasil, we assessed cIMT using ultrasound and cognitive performance using different domain tests. We used linear mixed models, interaction analysis, and race stratified analyses. RESULTS: Baseline high IMT values were associated with memory (p < 0.001), verbal fluency (p < 0.001), TMT-B (p < 0.001)), and global cognitive decline (p < 0.001). Race was an effect modifier in the association between IMT and global cognitive decline (0.043), with stronger association in White (p < 0.001) than in Black (p = 0.009) participants. DISCUSSION: Baseline IMT was associated with global and domain-specific cognitive decline and race modified this relationship, with stronger associations in White participants. HIGHLIGHTS: Carotid intima-media thickness (cIMT) was associated with cognitive decline. cIMT and cognitive decline association was stronger in White than in Black participants. We used inverse probability weighting to address attrition bias.

Gender, race/skin colour and incidence of hypertension in ELSA-Brasil: an intersectional approach.

OBJECTIVE: Race and gender inequities in the incidence of hypertension (HTN) are well documented; however, few empirical investigations looked into these associations, considering the synergies and heterogeneous experiences of intersectional gender and race/skin colour groups. This study investigated the association of intersectional identities defined by gender and race/skin colour with HTN incidence, and verified whether they are affected by educational level in adulthood. DESIGN: We used the Longitudinal Study of Adult Health (ELSA-Brasil) data to estimate the incidence of HTN between visits 1 (2008-2010) and 2 (2012-2014), in 8528 participants without hypertension at visit 1. HTN was defined as systolic blood pressure ≥140 mmHg, or diastolic blood pressure ≥90 mmHg, or use of antihypertensive drugs. Generalized linear models with Poisson distribution and log link function were used to assess the associations. RESULTS: The incidence of HTN was 43.4/1000 person-years, ranging from 30.5/1000 in White women to 59.4/1000 in Black men. After adjusting by age and family history of HTN, the incidence rate ratio (IRR) was higher in Black men (2.25; 95%CI: 1.65-3.08), Brown (Pardo) men (1.89; 95%CI: 1.59-2.25), Black women (1.85; 95%CI: 1.50-2.30), Brown (Parda) women (1.47; 95%CI: 1.31-1.67) and White men (1.76; 95%CI: 1.49-2.08), compared to White women. These associations were maintained even after considering socioeconomic, behavioural and health mediators in the model. No interaction was found between education level and intersectional identities in the IRRs observed. CONCLUSION: By using an intersectional approach, we showed the complex relations between race/skin colour and gender inequities in the incidence of HTN, pointing not only that Black men have the highest risk of developing HTN, but also that the risk of HTN is greater in Black women than in White men, when compared to White women.

Ultra-Processed Food Consumption and Increased Risk of Metabolic Syndrome in Adults: The ELSA-Brasil.

OBJECTIVE: To investigate the association between ultra-processed food (UPF) consumption and the incidence of metabolic syndrome (MetS). RESEARCH DESIGN AND METHODS: From 2008 to 2010, we enrolled 15,105 adults, aged 35-74 years, who were employees from six public education and research institutions to assemble the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We used a food frequency questionnaire to assess UPF consumption (measured in grams per day) at baseline. We then assessed the outcomes of those returning to visits between 2012 and 2014 and between 2017 and 2019. We defined incident MetS by the presence of at least three of the following five abnormalities: high fasting glucose level, high triglyceride level, low HDL cholesterol level, high blood pressure, and abdominal obesity, after excluding those meeting such criteria at baseline. We also excluded those who had missing data or an implausible energy intake, leaving 8,065 participants in the study. RESULTS: The median age was 49 years, 59% of participants were women, and the median consumption of UPFs was 366 g/day. After 8 years, there were 2,508 new cases of MetS. In robust Poisson regression, adjusting for sociodemographics, behavioral factors, and energy intake, we found a 7% (relative risk [RR] 1.07; 95% CI 1.05-1.08) higher risk of incident MetS for an increase of 150 g/day in UPF consumption. Similarly, those in the fourth quartile (compared with the first quartile) had a 33% increased risk (RR 1.33; 95% CI 1.20-1.47). Further adjustment for BMI attenuated these associations (for 150 g/day increases in UPF consumption and for the fourth quartile compared to the first one, respectively, RR = 1.04, 95% CI 1.02-1.06; RR = 1.19, 95% CI 1.07-1.32). CONCLUSIONS: Greater consumption of UPFs is associated with an increased risk of MetS. These findings have important implications for diabetes and cardiovascular disease prevention and management.

Impact of socioeconomic factors on lifestyle changes among employees of public higher education institutions in ELSA-Brasil during COVID-19 pandemic / Impacto de fatores socioeconômicos na mudança do estilo de vida de funcionários de instituições públicas de Ensino Superior no ELSA-Brasil durante a pandemia de COVID-19 / Impacto de los factores socioeconómicos en el cambio del estilo de vida de los funcionarios en instituciones públicas de educación superior en ELSA-Brasil durante la pandemia de la COVID-19

Abstract: This study aimed to identify lifestyle changes and associated sociodemographic factors in women and men participating in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) cohort during the COVID-19 pandemic. Longitudinal study with 3,776 (aged 58.8 years; SD ± 8.5) employees of public higher education institutions in the second follow-up and the wave-COVID of ELSA-Brasil. Data collected using structured questionnaires. An exploratory analysis was performed using binary and multinomial logistic regression on the dependent variables with two and three categories, respectively, by obtaining crude and adjusted odds ratio estimates in SPSS 20.0, considering a p-value < 0.05. There was a reduction in physical activity of 195.5 (SD ± 1,146.4) metabolic equivalents per week in women and 240.5 (SD ± 1,474.2) in men, and in smoking by 15.2%. There was an increase in alcohol consumption in men and women (434.2 ± 5,144.0; and 366.1 ± 4,879.0, respectively), in the food quality score (0.8 ± 3.7, women; 0.5 ± 3.7, men), sleeping time (0.4 ± 1.2, women; 0.5 ± 1.1, men), screen time (1.7 ± 2.4, women; 1.4 ± 2.3, men), and sitting time (1.7 ± 2.6, women; 1.5 ± 2.4, men) (hours/day). In total, 18.6% increased the purchase of ultra-processed foods and 36% increased the purchase of natural foods. Age and work activity contributed to increase the chance of purchasing ultra-processed foods, and age and adherence to social distancing influenced the shift to a more sedentary behavior, while income and active work favored the increase in alcoholic beverage consumption. These factors should be considered when developing public policies to avoid individual behaviors that are harmful to health during pandemics.

Resumo: O objetivo do estudo é identificar mudanças no estilo de vida e fatores sociodemográficos associados em mulheres e homens participantes da coorte Estudo Longitudinal da Saúde do Adulto (ELSA-Brasil) durante a pandemia de COVID-19. Estudo longitudinal com 3.776 (58,8 anos; DP ± 8,5) funcionários de instituições públicas de Ensino Superior no segundo acompanhamento e na onda COVID do ELSA-Brasil. Os dados foram coletados por meio de questionários estruturados. Foi realizada análise exploratória por meio de regressão logística binária e multinomial nas variáveis dependentes com duas e três categorias, respectivamente, obtendo-se estimativas brutas e ajustadas de odds ratio no SPSS 20.0, considerando um valor de p < 0,05. Houve redução da atividade física de 195,5 (DP ± 1.146,4) equivalentes metabólicos por semana nas mulheres e de 240,5 (DP ± 1.474,2) nos homens, e do tabagismo de 15,2%. Houve aumento do consumo de álcool em homens e mulheres (434,2 ± 5.144,0 e 366,1 ± 4.879,0, respectivamente), do escore de qualidade alimentar (0,8 ± 3,7, mulheres; 0,5 ± 3,7, homens), do tempo de sono (0,4 ± 1,2, mulheres; 0,5 ± 1,1, homens), do tempo de tela (1,7 ± 2,4, mulheres; 1,4 ± 2,3, homens) e do tempo sentado (1,7 ± 2,6, mulheres; 1,5 ± 2,4, homens) (horas/dia). Além disso, 18,6% aumentaram a compra de alimentos ultraprocessados e 36% aumentaram a compra de alimentos naturais. A idade e a atividade laboral contribuíram para aumentar a chance de compra de alimentos ultraprocessados, e a idade e a adesão ao distanciamento social influenciaram a mudança para um comportamento mais sedentário, enquanto a renda e o trabalho ativo favoreceram o aumento do consumo de bebidas alcoólicas. Estes fatores devem ser considerados na elaboração de políticas públicas a fim de evitar comportamentos individuais deletérios à saúde em períodos de pandemia.

Resumen: El objetivo de este estudio es identificar los cambios en el estilo de vida y los factores sociodemográficos asociados en mujeres y hombres que participan en la cohorte Estudio Longitudinal de Salud del Adulto en Brasil (ELSA-Brasil) durante la pandemia de la COVID-19. Estudio longitudinal con 3.776 (58,8 años; DE ± 8,5) funcionarios en instituciones públicas de educación superior en el segundo seguimiento y en la ola COVID de ELSA-Brasil. Los datos se recopilaron de cuestionarios estructurados. El análisis exploratorio se realizó mediante regresión logística binaria y multinomial en variables dependientes con dos y tres categorías, respectivamente, en la cual se obtuvieron estimaciones brutas y ajustadas de odds ratios en SPSS 20.0, teniendo en cuenta un valor de p < 0,05. Hubo una reducción en la actividad física de 195,5 (DE ± 1.146,4) equivalentes metabólicos por semana en mujeres y de 240,5 (DE ± 1.474,2) en hombres, y del tabaquismo del 15,2%. Hubo un aumento en el consumo de alcohol en hombres y mujeres (434,2 ± 5.144,0 y 366,1 ± 4.879,0, respectivamente), en el puntaje de calidad de los alimentos (0,8 ± 3,7, mujeres; 0,5 ± 3,7, hombres), en el tiempo de sueño (0,4 ± 1,2, mujeres; 0,5 ± 1,1, hombres), en el tiempo frente a la pantalla (1,7 ± 2,4, mujeres; 1,4 ± 2,3, hombres) y en el tiempo sentado (1,7 ± 2,6, mujeres; 1,5 ± 2,4, hombres) (horas/día). Además, el 18,6% aumentó la compra de alimentos ultraprocesados y el 36% la compra de alimentos.

Spatial clusters of diabetes: individual and neighborhood characteristics in the ELSA-Brasil cohort study / Aglomerados espaciais de diabetes: características individuais e de vizinhança no estudo longitudinal ELSA-Brasil / Grupos espaciales de diabetes: características individuales y vecinales en el estudio longitudinal ELSA-Brasil

This study identified spatial clusters of type 2 diabetes mellitus among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two cities and verified individual and neighborhood socioeconomic environmental characteristics associated with the spatial clusters. A cross-sectional study was conducted with 4,335 participants. Type 2 diabetes mellitus was defined as fasting blood glucose ≥ 126mg/dL (7.0mmol/L), oral glucose tolerance test ≥ 200mg/dL (11.1mmol/L), or glycated hemoglobin ≥ 6.5% (48mmol/L); by antidiabetic drug use; or by the self-reported medical diagnosis of type 2 diabetes mellitus. Neighborhood socioeconomic characteristics were obtained from the 2011 Brazilian census. A spatial data analysis was conducted with the SaTScan method to detect spatial clusters. Logistic regression models were fitted to estimate the magnitude of associations. In total, 336 and 343 participants had type 2 diabetes mellitus in Belo Horizonte, Minas Gerais State (13.5%) and Salvador, Bahia State (18.5%), respectively. Two cluster areas showing a high chance of type 2 diabetes mellitus were identified in Belo Horizonte and Salvador. In both cities, participants living in the high type 2 diabetes mellitus cluster area were more likely to be mixed-race or black and have a low schooling level and manual work; these were also considered low-income areas. On the other hand, participants in the low type 2 diabetes mellitus cluster area of Salvador were less likely to be black and have low schooling level (university degree) and live in a low-income area. More vulnerable individual and neighborhood socioeconomic characteristics were associated with living in clusters of higher type 2 diabetes mellitus occurrence , whereas better contextual profiles were associated with clusters of lower prevalence.

Este estudo identificou aglomerados espaciais de diabetes mellitus tipo 2 entre participantes do Estudo Longitudinal de Saúde do Adulto no Brasil (ELSA-Brasil) em duas cidades e verificou características socioeconômicas ambientais individuais e de vizinhança associadas aos aglomerados espaciais. Se trata de um estudo transversal com 4.335 participantes. Diabetes mellitus tipo 2 foi definido com base em glicemia de jejum ≥ 126mg/dL (7,0mmol/L); teste oral de tolerância à glicose ≥ 200mg/dL (11,1mmol/L); hemoglobina glicada ≥ 6,5% (48mmol/L); uso de drogas antidiabéticas; ou pelo autodiagnóstico médico de diabetes mellitus tipo 2. As características socioeconômicas do bairro foram obtidas a partir do censo brasileiro de 2011. A análise dos dados espaciais foi realizada pelo método SaTScan para detectar os aglomerados espaciais. Os modelos de regressão logística foram ajustados para estimar a magnitude das associações. Um total de 336 e 343 participantes apresentaram diabetes mellitus tipo 2 em Belo Horizonte, Minas Gerais (13,5%) e Salvador, Bahia (18,5%), respectivamente. Foram identificadas duas áreas de aglomerados com alta probabilidade de diabetes mellitus tipo 2 em Belo Horizonte e Salvador. Em ambas as cidades, os participantes residentes nos aglomerados com alta taxa de diabetes mellitus tipo 2 tinham maior probabilidade de relatar cor de pele parda ou preta, baixa escolaridade e ocupação de trabalho manual; essas áreas também foram consideradas de baixa renda. Por outro lado, os participantes do aglomerado com baixa taxa de diabetes mellitus tipo 2 de Salvador tinham menor probabilidade de serem negros e maior probabilidade de terem diploma universitário, além de morarem em áreas de alta renda. Características socioeconômicas individuais e de vizinhança mais vulneráveis estavam associadas à residência em aglomerados de maior ocorrência de diabetes mellitus tipo 2, enquanto o oposto foi observado para perfis contextuais melhores.

Este estudio identificó grupos espaciales de diabetes mellitus tipo 2 entre los participantes del Estudio Longitudinal de Salud del Adulto en Brasil (ELSA-Brasil) en dos ciudades y verificó las características socioeconómicas ambientales individuales y de vecindario asociadas con los grupos espaciales. Se trata de un estudio transversal con 4.335 participantes. La diabetes mellitus tipo 2 se definió en base a glucosa en ayunas ≥ 126mg/dL (7,0mmol/L); prueba de tolerancia oral a la glucosa ≥ 200mg/dL (11,1mmol/L); hemoglobina glicosilada ≥ 6,5% (48mmol/L); uso de medicamentos antidiabéticos; o por autodiagnóstico médico de diabetes mellitus tipo 2. Las características socioeconómicas del barrio se obtuvieron a partir del censo brasileño de 2011. El análisis de datos espaciales se realizó utilizando el método SaTScan para detectar grupos espaciales. Los modelos de regresión logística se ajustaron para estimar la magnitud de las asociaciones. Un total de 336 y 343 participantes presentaron diabetes mellitus tipo 2 en Belo Horizonte, Minas Gerais (13,5%) y Salvador, Bahia (18,5%), respectivamente. Se identificaron dos áreas de grupos con alta probabilidad de diabetes mellitus tipo 2 en Belo Horizonte y Salvador. En ambas ciudades, los participantes que residían en las áreas del grupo con una alta tasa de diabetes mellitus tipo 2 tenían más probabilidades de informar el color de piel pardo o negro, la baja educación y la ocupación del trabajo manual; estas áreas también se consideraron de bajos ingresos. Por el contrario, los participantes en el área del grupo con baja tasa de diabetes mellitus tipo 2 de Salvador tenían menos probabilidades de ser negros y más probabilidades de tener un título universitario, además de vivir en áreas de altos ingresos. Las características socioeconómicas individuales y de vecindario más vulnerables se asociaron con la residencia en grupos de mayor incidencia de diabetes mellitus tipo 2, mientras que se observó lo contrario para mejores perfiles contextuales.