Religion and sociodemographic characteristics at baseline of the Brazilian Longitudinal Study of Adult Health study.

OBJECTIVE: The aim of this study was to investigate whether sex, age, race, income, education, and marital status are associated with having a religion in a sample of Brazilian men and women. METHODS: Data were obtained from 15,098 participants of the Brazilian Longitudinal Study of Adult Health, a longitudinal study that ultimately aims to investigate long-term outcomes of chronic diseases. The sociodemographic characteristics and data on religion status were self-reported during interviews conducted by trained personnel. All study procedures followed standard and validated protocols. RESULTS: There was a strong association between being a woman and having a religion (adjusted OR=2.12, 95%CI 1.95-2.31) when compared to men. Regarding age, those with 45-54 years were more likely to have a religion (adjusted OR=1.14, 95%CI 1.03-1.27). Blacks and Browns were more religious (adjusted OR=1.31, 95%CI 1.15-1.49, and OR=1.22, 95%CI 1.10-1.34, respectively) compared to Whites. Those with high income and education were less likely to state having a religion (adjusted OR=0.78, 95%CI 0.70-0.87, and adjusted OR=0.50, 95%CI 0.43-0.59, respectively). Those who did not have a stable conjugal union were found to be less religious (adjusted OR=0.82, 95%CI 0.75-0.89). Stratifying the analysis according to income showed that higher education was inversely associated with religion on both strata: lower and higher annual earnings. CONCLUSION: This study suggests that education is one of the most important socioeconomic characteristics to consider when studying religion. Race, sex, income, and marital status are also important factors; however, there was not a clear association between religion and age.

Association of mental health symptoms with the migraine-tension-type headache spectrum in the Brazilian longitudinal study of adult health.

OBJECTIVE: To investigate the relationship between mental health symptoms and the migraine-tension-type headache (TTH) spectrum in middle-aged adults from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil study). METHODS: In this cross-sectional analysis (baseline data: 2008-2010), it was evaluated the relationship between each mental health symptom assessed by the Clinical Interview Schedule-Revised (CIS-R) questionnaire and headache subtypes (migraine and TTH) according to international criteria. It was performed binary logistic regression models, with estimated odds ratios (OR) with their respective 95% confidence intervals (CI) adjusted for confounders including migraine attack frequency. RESULTS: Among 13,916 participants, 70.1% reported any major primary headache subtype within the last year. The most common subtype was definite TTH (33.4%), followed by probable migraine (21.0%), definite migraine (8.5%), and probable TTH (7.2%). Our main findings indicated positive associations between anxiety-related symptoms and the migraine-tension type headache (TTH) spectrum with a clear trend toward definite migraine more than tension-type headache. The presence of somatic symptoms presented a high likelihood for the associations with headaches, mainly definite migraine (OR: 7.9, 95% CI: 6.4-9.8), probable migraine (OR: 4.5, 95% CI 3.7-5.4) and probable TTH (OR: 3.0, 95% CI: 2.3-3.8). Other symptoms associated with headache disorders included fatigue, panic, irritability, anxiety symptoms, concentration problems, forgetfulness, depressive symptoms, and worry. The effect of associations remained significant after controlling for headache attack frequency. CONCLUSION: This study provides evidence of consistent associations between mental health symptoms and primary headache disorders, with a higher burden of anxiety-based symptoms observed in people with migraine than those with TTH.

Potential Determinants of Thyroid Peroxidase Antibodies and Mortality Risk: Results From the ELSA-Brasil Study.

CONTEXT: The presence of thyroid peroxidase antibodies (TPOAbs) may be considered as an indicator of adverse health outcomes. OBJECTIVE: We aimed to investigate the potential determinants of TPOAb levels and to analyze the association between TPOAb titers and the risk of all- and specific-cause mortality. METHODS: Baseline and longitudinal data of 13 187 participants from the ELSA-Brasil Study were analyzed. We investigated the association of TPOAb, detectability, positivity, and persistent positivity with sociodemographic and lifestyle factors using logistic regressions. Cox proportional hazards and Fine-Gray subdistribution hazard regression analyses were used to verify the association of TPOAbs with mortality. RESULTS: The determinants of TPOAb detectability and positivity were younger age, higher body mass index, female sex, and former and current smoking status. Black, mixed, and other self-reported races, intermediate and higher education, and heavy drinking were determinants of detectable and positive TPOAb levels. Female sex, White race, and former smoking were determinants of persistent TPOAb positivity at 2 visits, although only the female sex maintained its association at 3 visits. Moreover, after multivariate adjustment, there were associations between higher levels of TPOAbs and higher risk of cancer-related mortality among men, and TPOAb detectability and mortality by other causes among women. CONCLUSION: Sociodemographic and lifestyle-related factors were determinants of multiple TPOAb categories. TPOAb levels were associated with mortality risk; however, the low mortality rate in this sample might have compromised this finding. We suggest further studies to explore the clinical importance of detectable TPOAb levels, not only its positivity, as a potential marker of inflammation.

Dietary acid load and the risk of events of mortality and kidney replacement therapy in people with chronic kidney disease: the Progredir Cohort Study.

BACKGROUND/OBJECTIVES: The association between dietary acid load (DAL) and chronic kidney disease (CKD) progression remains controversial. Also, there is a gap in the literature on the association between DAL and mortality. In this study, we evaluated the association between NEAP (net endogenous acid production) and PRAL (potential renal acid load) and the risk of events of all-cause mortality and kidney replacement therapy (KRT) in people with CKD. SUBJECTS/METHODS: We included 442 patients (250 diabetics) from the Progredir Cohort Study, based in São Paulo, Brazil. We estimated NEAP and PRAL from dietary intake. Events of death before KRT and KRT were ascertained after a median follow-up of 5.8 and 5.1 years, respectively. Cox proportional hazards regression, Weibull regression, and competing risk models were performed. RESULTS: Median NEAP and PRAL were 49.5 and 4.8 mEq/d. There were 200 deaths and 75 KRT events. Neither NEAP nor PRAL were associated with mortality or KRT when all participants were analyzed. After stratification for diabetes, both estimates were positively related to the risk of KRT even after adjustment for age, sex, weight status, glomerular filtration rate, serum bicarbonate, and intakes of protein, phosphorus, and energy (HR 1.31; 95% CI 1.07, 1.60 for NEAP, and HR 1.27; 95% CI 1.04, 1.57 for every 10 mEq/d increments). Competing risk analyses confirmed these findings. CONCLUSIONS: DAL estimates were associated with the risk of KRT in people with CKD and diabetes but not in non-diabetics. There was no association between all-cause mortality and DAL.

Psoriasis and associated risk factors: a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health.

OBJECTIVE: This study investigated the association of psoriasis with cardiovascular risk factors and psychological aspects among participants of the Brazilian Longitudinal Study of Adult Health. METHODS: This is a cross-sectional study from the baseline data of the Brazilian Longitudinal Study of Adult Health cohort, collected between 2008 and 2010 in six state capitals of Brazil (i.e., Belo Horizonte, Porto Alegre, Rio de Janeiro, Salvador, São Paulo, and Vitória). Participants were active and retired civil servants from college and research institutions, aged between 35 and 74 years. Exclusion criteria included the intention to quit working at the institution, pregnancy, severe cognitive impairment, and, if retired, residence outside of a study center's corresponding area. Psoriasis case identification was based on a previous medical diagnosis of psoriasis. Cardiovascular risk profile, psychological aspects, and sociodemographic variables were investigated. RESULTS: Data from 15,105 participants were analyzed (mean age of 52.3 years, 51.3% women). The prevalence of psoriasis was 1.6% (n=236). Psoriasis was associated with higher education (OR 1.94 [CI 1.07-3.52]), health insurance plan (OR 1.56 [CI 1.08-2.25]), central obesity (OR 1.63 [CI 1.10-2.40]), smoking status (former OR 1.40 [CI 1.03-1.88]; current OR 1.61 [CI 1.08-2.40]), and very bad self-perception of health (OR 7.22 [CI 2.41-21.64]), remaining significant even after multivariate adjustment. Self-reported Black participants were less likely to have psoriasis (OR 0.45 [CI 0.26-0.75]). CONCLUSION: In a sample of healthy workers, psoriasis was associated with central obesity, smoking, and a very bad self-perception of health, which may contribute to future cardiovascular disease.

Association between dietary patterns and carotid intima-media thickness: cross-sectional analysis of ELSA-Brasil study.

PURPOSE: We aimed to perform a cross-sectional evaluation of the association between dietary patterns and carotid intima-media thickness (cIMT), using baseline data from the Brazilian Longitudinal Study of Adult Health. METHODS: The participants with measurement of the cIMT were included (n = 9,624). cIMT was evaluated in a continuous way and categorized as < 75th and ≥ 75th and ≤ 0.9 mm and > 0.9 mm. Dietary patterns (DPs) were identified by principal component factor analysis. Linear and logistic regression models were used to evaluate the association between cIMT and DPs. RESULTS: Three DPs were derived. For each unit increase in the convenience DP score, the odds for cIMT ≥ 75th increased by 13% (OR 1.13; 95% CI 1.05: 1.22) and for cIMT > 0.9 mm increased by 14% (OR 1.14; 95% CI 1.07: 1.22) in the fully adjusted model. In contrast, each unit increase in the prudent DP score decreased by 8% the odds of having cIMT ≥ 75th (OR 0.92; 95% CI 0.86: 0.98) and by 11% of cIMT > 0.9 mm (OR 0.89; 95% CI 0.84: 0.95). Furthermore, each increase in the convenience DP score was associated with increase in the cIMT (ß 0.01; 95% CI 0.01: 0.02), while each increase in the prudent DP score was associated with decrease in the cIMT (ß -0.01; -0.01; -0.01) in linear regression models. CONCLUSIONS: Our results demonstrate that those individuals with adherence to the convenience dietary pattern are more likely to have high cIMT, while those with adherence to a prudent dietary pattern have lower odds for this characteristic.

A pandemic toll in frail older adults: Higher odds of incident and persistent common mental disorders in the ELSA-Brasil COVID-19 mental health cohort.

INTRODUCTION: We aimed to investigate the association of frailty with persistent and incident common mental disorders (CMD) in older adults during the pandemic. METHODS: We included 706 older adults who participated in the onsite wave of the ELSA-Brasil study (2017-2019) and the online COVID-19 assessment (May-July 2020). CMD were assessed in both waves by the Clinical Interview Schedule-Revised. Frailty was defined according to the physical phenotype and Frailty Index in the 2017-2019 wave. Logistic regression was used to investigate the association of frailty with persistent and incident CMD, adjusted for sociodemographics. RESULTS: Frailty according to both definitions were associated with persistent CMD (Frailty Index: OR = 8.61, 95 % CI = 4.08-18.18; physical phenotype: OR = OR = 23.67, 95 % CI = 7.08-79.15), and incident CMD (Frailty Index: OR = 2.79, 95 % CI = 1.15-6.78; physical phenotype OR = 4.37, 95 % CI = 1.31-14.58). The exclusion of exhaustion (that overlaps with psychiatric symptoms) from the frailty constructs did not change the association between frailty and persistent CMD, although the associations with indent CMD were no longer significant. LIMITATIONS: Fluctuations in CMD status were not captured between both assessments. CONCLUSION: Frailty status before the COVID-19 outbreak was associated with higher odds of persistent and incident CMD in older adults during the pandemic first wave. Identifying individuals at higher risk of mental burden can help prioritize resources allocation and management.

Adherence to the EAT-Lancet sustainable reference diet and cardiometabolic risk profile: cross-sectional results from the ELSA-Brasil cohort study.

PURPOSE: The EAT-Lancet Commission released a reference sustainable diet to improve human health and respect the planetary boundaries. The Planetary Health Diet Index (PHDI) was developed with the purpose of evaluate the adherence to this reference diet. The aim of the present study was to evaluate the association between adherence to the EAT-Lancet diet with cardiometabolic risk profile. METHODS: We used the cross-sectional baseline data from 14,155 participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a multicenter ongoing cohort study. Dietary data were collected using a 114-item validated food frequency questionnaire. The PHDI was used to assess the adherence to the EAT-Lancet diet. It consists of 16 components and the total score can range from 0 to 150 points. Linear, logistic and quasi-Poisson regression models were built to evaluate the associations between PHDI and the outcomes. RESULTS: Individuals with higher adherence to EAT-Lancet diet (PHDI, 5th quintile) had lower values for systolic blood pressure (ß - 0.84; 95% CI - 1.66: - 0.01), diastolic blood pressure (ß - 0.70; 95% CI - 1.24: - 0.15), total cholesterol (ß - 3.15; 95% CI - 5.30: - 1.01), LDL-c (ß - 4.10; 95% CI - 5.97: -  2.23), and non-HDL-cholesterol (ß - 2.57; 95% CI - 4.62: - 0.52). No association was observed for HDL-c, triglycerides and HOMA-IR. CONCLUSIONS: Our results indicate that higher adherence to the EAT-Lancet diet is associated with lower levels of blood pressure, total cholesterol, LDL-c, and non-HDL-c.

The association between salt intake and blood pressure is mediated by body mass index but modified by hypertension: The ELSA-Brasil study.

High salt intake has been linked to both obesity and high blood pressure (BP). Part of the variability of BP attributed to salt intake might be BMI-mediated. To investigate whether hypertension would be an effect modifier in the complex network including salt intake, obesity, and BP, we tested the hypothesis that salt intake has direct and BMI-mediated effects on systolic (SBP) and diastolic blood pressure (DBP). Data from 9,028 participants (aged 34-75 years, 53.6% women) were analyzed. A validated formula was used to estimate daily salt intake from the sodium excretion (12 h urine collection). A path model adjusted for covariates was designed in which salt intake has both a direct and a BMI-mediated effect on BP. In normotensives, standardized beta coefficients showed significant direct (Men: 0.058 and 0.052, Women: 0.072 and 0,061, P < 0.05) and BMI-mediated (Men: 0.040 and 0.065, Women: 0.038 and 0.067, P < 0.05) effect of salt intake on the SBP and DBP, respectively. However, in hypertensive individuals, neither the direct (Men: 0.006 and 0.056, Women: 0.048 and 0.017) nor the indirect effect (Men: -0.044 and 0.014, Women: 0.011 and 0.050) of salt intake on the SBP and DBP were significant. These data suggest that cardiovascular risk stratification should consider the complex interaction between salt intake and weight gain, and their effects on BP of normotensive and hypertensive individuals.

Prevalence and risk factors of psychiatric symptoms and diagnoses before and during the COVID-19 pandemic: findings from the ELSA-Brasil COVID-19 mental health cohort.

BACKGROUND: There is mixed evidence on increasing rates of psychiatric disorders and symptoms during the coronavirus disease 2019 (COVID-19) pandemic in 2020. We evaluated pandemic-related psychopathology and psychiatry diagnoses and their determinants in the Brazilian Longitudinal Study of Health (ELSA-Brasil) São Paulo Research Center. METHODS: Between pre-pandemic ELSA-Brasil assessments in 2008-2010 (wave-1), 2012-2014 (wave-2), 2016-2018 (wave-3) and three pandemic assessments in 2020 (COVID-19 waves in May-July, July-September, and October-December), rates of common psychiatric symptoms, and depressive, anxiety, and common mental disorders (CMDs) were compared using the Clinical Interview Scheduled-Revised (CIS-R) and the Depression Anxiety Stress Scale-21 (DASS-21). Multivariable generalized linear models, adjusted by age, gender, educational level, and ethnicity identified variables associated with an elevated risk for mental disorders. RESULTS: In 2117 participants (mean age 62.3 years, 58.2% females), rates of CMDs and depressive disorders did not significantly change over time, oscillating from 23.5% to 21.1%, and 3.3% to 2.8%, respectively; whereas rate of anxiety disorders significantly decreased (2008-2010: 13.8%; 2016-2018: 9.8%; 2020: 8%). There was a decrease along three wave-COVID assessments for depression [ß = -0.37, 99.5% confidence interval (CI) -0.50 to -0.23], anxiety (ß = -0.37, 99.5% CI -0.48 to -0.26), and stress (ß = -0.48, 99.5% CI -0.64 to -0.33) symptoms (all ps < 0.001). Younger age, female sex, lower educational level, non-white ethnicity, and previous psychiatric disorders were associated with increased odds for psychiatric disorders, whereas self-evaluated good health and good quality of relationships with decreased risk. CONCLUSION: No consistent evidence of pandemic-related worsening psychopathology in our cohort was found. Indeed, psychiatric symptoms slightly decreased along 2020. Risk factors representing socioeconomic disadvantages were associated with increased odds of psychiatric disorders.

Psoriasis and associated risk factors: a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health

SUMMARY OBJECTIVE: This study investigated the association of psoriasis with cardiovascular risk factors and psychological aspects among participants of the Brazilian Longitudinal Study of Adult Health. METHODS: This is a cross-sectional study from the baseline data of the Brazilian Longitudinal Study of Adult Health cohort, collected between 2008 and 2010 in six state capitals of Brazil (i.e., Belo Horizonte, Porto Alegre, Rio de Janeiro, Salvador, São Paulo, and Vitória). Participants were active and retired civil servants from college and research institutions, aged between 35 and 74 years. Exclusion criteria included the intention to quit working at the institution, pregnancy, severe cognitive impairment, and, if retired, residence outside of a study center's corresponding area. Psoriasis case identification was based on a previous medical diagnosis of psoriasis. Cardiovascular risk profile, psychological aspects, and sociodemographic variables were investigated. RESULTS: Data from 15,105 participants were analyzed (mean age of 52.3 years, 51.3% women). The prevalence of psoriasis was 1.6% (n=236). Psoriasis was associated with higher education (OR 1.94 [CI 1.07-3.52]), health insurance plan (OR 1.56 [CI 1.08-2.25]), central obesity (OR 1.63 [CI 1.10-2.40]), smoking status (former OR 1.40 [CI 1.03-1.88]; current OR 1.61 [CI 1.08-2.40]), and very bad self-perception of health (OR 7.22 [CI 2.41-21.64]), remaining significant even after multivariate adjustment. Self-reported Black participants were less likely to have psoriasis (OR 0.45 [CI 0.26-0.75]). CONCLUSION: In a sample of healthy workers, psoriasis was associated with central obesity, smoking, and a very bad self-perception of health, which may contribute to future cardiovascular disease.

Recommender System Based on Collaborative Filtering for Personalized Dietary Advice: A Cross-Sectional Analysis of the ELSA-Brasil Study.

This study aimed to predict dietary recommendations and compare the performance of algorithms based on collaborative filtering for making predictions of personalized dietary recommendations. We analyzed the baseline cross-sectional data (2008-2010) of 12,667 participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The participants were public employees of teaching and research institutions, aged 35-74 years, and 59% female. A semiquantitative Food Frequency Questionnaire (FFQ) was used for dietary assessment. The predictions of dietary recommendations were based on two machine learning (ML) algorithms-user-based collaborative filtering (UBCF) and item-based collaborative filtering (IBCF). The ML algorithms had similar precision (88-91%). The error metrics were lower for UBCF than for IBCF: with a root mean square error (RMSE) of 1.49 vs. 1.67 and a mean square error (MSE) of 2.21 vs. 2.78. Although all food groups were used as input in the system, the items eligible as recommendations included whole cereals, tubers and roots, beans and other legumes, oilseeds, fruits, vegetables, white meats and fish, and low-fat dairy products and milk. The algorithms' performances were similar in making predictions for dietary recommendations. The models presented can provide support for health professionals in interventions that promote healthier habits and improve adherence to this personalized dietary advice.

Lower paraoxonase 1 paraoxonase activity is associated with a worse prognosis in patients with non-ST-segment elevation myocardial infarction in long-term follow-up.

BACKGROUND: Acute coronary syndrome (ACS) is one of the main manifestations of coronary artery disease, with a higher prevalence and worst prognosis. Oxidative stress is important in atherosclerosis and ACS, and paraoxonase 1 (PON1) is directly related to reducing the effects of oxidative stress on lipoproteins. The present study evaluated the prognostic value of PON1 activity in patients with non-ST-segment elevation ACS [non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina (UA)], included in the ERICO study. METHODS: PON1 paraoxonase activity was determined in serum samples from 485 patients collected on admission. The prognostic value in the follow-up of up to 5 years was evaluated according to cutoff points established by tertiles. Kaplan-Meier curves and Cox regression were used for the analysis of all-cause mortality and cardiovascular mortality. RESULTS: The sample consisted mainly of elderly patients with a high frequency of cardiovascular risk factors. At follow-up of up to 5 years, there were 126 deaths from all causes (80 deaths from CVD). The lowest tertile of PON1 paraoxonase activity was associated with a higher risk of death in patients with NSTEMI, but not in patients with UA. CONCLUSION: PON1 paraoxonase activity has potential prognostic value in patients with NSTEMI.

Biomarkers of Fruit Intake Using a Targeted Metabolomics Approach: an Observational Cross-Sectional Analysis of the ELSA-Brasil Study.

BACKGROUND: Advances in technology have led to the identification of a greater number of metabolites related to diet. Although fruit intake biomarkers have been reported in some studies, these findings require further replication, considering the relevance of fruits for diet quality and health. OBJECTIVES: The aim of this study was to explore the associations of a set of potential urinary biomarkers of diet, assessed using a targeted metabolomics approach, with self-reported fruit intake data in participants of a computer-assisted 24-h dietary recall (GloboDiet software) validation study. METHODS: A total of 93 individuals aged 43-72 y, 54% female, participated in this study. The subjects were a subsample of the Longitudinal Study of Adult Health (ELSA-Brasil). A 24-h dietary recall was obtained with the aid of GloboDiet software matching a 24-h urine sample from each participant. Candidate biomarkers were selected in a literature search and identified in urine by LC coupled to high-resolution MS. Spearman correlation analyses were performed between fruit intake and each biomarker. RESULTS: Spearman correlation analysis showed that total fruits intake was significantly correlated with citric acid (ρ = 0.213, P = 0.041), ferulic acid sulfate I (ρ = 0.240, P = 0.020), hesperetin glucuronide/homoeriodictyol glucuronide (ρ = 0.303, P = 0.003), hydroxyhippuric acid (ρ = 0.239, P = 0.021), homovanillic alcohol sulfate (ρ = 0.339, P = 0.001), methylgallic acid sulfate (ρ = 0.268, P = 0.009), naringenin glucuronide (NG; ρ = 0.278, P = 0.007), proline betaine (PB; ρ = 0.305, P = 0.003), syringic acid sulfate (ρ = 0.210, P = 0.044), and sinapic acid sulfate (ρ = 0.412, P < 0.001). Among them, 3 have been described in literature as promising biomarkers for intake of total fruit, oranges, and citrus fruit: NG, hesperetin glucuronide, and PB. CONCLUSIONS: Associations of total fruits intake with urinary measurements indicate the potential usefulness of dietary biomarkers in the Brazilian population as a complement to self-reported dietary assessments.

The AHA Recommendations for a Healthy Diet and Ultra-Processed Foods: Building a New Diet Quality Index.

The American Heart Association (AHA) has developed the concept of "ideal cardiovascular health" (ICH), a seven-component score, which includes health dietary metrics. Higher ultra-processed foods intake is related with several cardiometabolic and cardiovascular diseases. We propose to develop and validate the Cardiovascular Health Diet Index (CHDI), a diet quality index that combines the AHA's recommendations of a healthy diet for cardiovascular health and ultra-processed foods. We used dietary data obtained through a 114-item FFQ from 14,779 participants of the Brazilian Longitudinal Study of Adults Health (ELSA-Brasil). The CHDI had 11 components and a total score ranging from 0 to 110 points. Validation and reliability analyses were performed, including principal component analyses, association with selected nutrients, means differences between groups (for example, smokers vs. non-smokers), Cronbach's alpha, and linear regression analyses between CHDI and overall dietary quality. The mean CHDI was 57.1 points (95% CI 47.9:66.0). The CHDI had four dimensions; in addition, it was associated with nutrients related to cardiovascular health, and the points were significantly (p < 0.001) lower in smokers (52.1) than in non-smokers (57.8). Cronbach's alpha value was 0.50. After age and sex adjustment, the CHDI score remained associated with a higher overall dietary quality (ß 0.87, 95%CI 0.84:0.89, p < 0.001). The CHDI proved to be valid and reliable for use, in addition to being associated with higher overall dietary quality. The use of CHDI is expected to assess the population's compliance with dietary recommendations for promoting cardiovascular health and preventing cardiovascular disease.

Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

BACKGROUND: Machine learning investigates how computers can automatically learn. The present study aimed to predict dietary patterns and compare algorithm performance in making predictions of dietary patterns. METHODS: We analysed the data of public employees (n = 12,667) participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The K-means clustering algorithm and six other classifiers (support vector machines, naïve Bayes, K-nearest neighbours, decision tree, random forest and xgboost) were used to predict the dietary patterns. RESULTS: K-means clustering identified two dietary patterns. Cluster 1, labelled the Western pattern, was characterised by a higher energy intake and consumption of refined cereals, beans and other legumes, tubers, pasta, processed and red meats, high-fat milk and dairy products, and sugary beverages; Cluster 2, labelled the Prudent pattern, was characterised by higher intakes of fruit, vegetables, whole cereals, white meats, and milk and reduced-fat milk derivatives. The most important predictors were age, sex, per capita income, education level and physical activity. The accuracy of the models varied from moderate to good (69%-72%). CONCLUSIONS: The performance of the algorithms in dietary pattern prediction was similar, and the models presented may provide support in screener tasks and guide health professionals in the analysis of dietary data.

Different statistical methods identify similar population-specific dietary patterns: an analysis of Longitudinal Study of Adult Health (ELSA-Brasil).

In recent decades, different data-driven approaches have emerged to identify dietary patterns (DP) and little is discussed about how these methods are able to capture diet complexity within the same population. This study aimed to apply three statistical methods to identify the DP of the Longitudinal Study of Adult Health (ELSA-Brasil) population and evaluate the similarities and differences between them. Dietary data were assessed at baseline in the ELSA-Brasil study using a FFQ. DP were identified by applying three statistical methods: (1) factor analysis (FA), (2) treelet transform (TT) and (3) reduced rank regression (RRR). The characteristics of individuals classified in the last tertile of each DP were compared. Cross-classification and Pearson's correlation coefficients were assessed to evaluate the agreement between individuals' adherence to DP of the three methods. A similar convenience DP was identified for all three methods. FA and TT also identified a similar prudent DP and a DP highly loaded for the food groups rice and beans. Individuals classified in the third tertile of similar DP of each method presented similar socio-demographic and nutrient intake characteristics. Regarding the cross-classification, prudent DP from FA and TT presented a higher level of agreement (75 %), while convenience DP from TT and RRR presented the lowest agreement (44·8 %). The different statistical methods were able to capture the populations' DP in a similar way while highlighting the particularities of each method.

Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan.

Cohort studies have displayed mixed findings on changes in mental symptoms severity in 2020, when the COVID-19 pandemic outbreak started. Network approaches can provide additional insights by analyzing the connectivity of such symptoms. We assessed the network structure of mental symptoms in the Brazilian Longitudinal Study of Health (ELSA-Brasil) in 3 waves: 2008-2010, 2017-2019, and 2020, and hypothesized that the 2020 network would present connectivity changes. We used the Clinical Interview Scheduled-Revised (CIS-R) questionnaire to evaluates the severity of 14 common mental symptoms. Networks were graphed using unregularized Gaussian models and compared using centrality and connectivity measures. The predictive power of centrality measures and individual symptoms were also estimated. Among 2011 participants (mean age: 62.1 years, 58% females), the pandemic symptom 2020 network displayed higher overall connectivity, especially among symptoms that were related to general worries, with increased local connectivity between general worries and worries about health, as well as between anxiety and phobia symptoms. There was no difference between 2008 and 2010 and 2017-2019 networks. According to the network theory of mental disorders, external factors could explain why the network structure became more densely connected in 2020 compared to previous observations. We speculate that the COVID-19 pandemic and its innumerous social, economical, and political consequences were prominent external factors driving such changes; although further assessments are warranted.

Adherence to the Planetary Health Diet Index and Obesity Indicators in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

The EAT-Lancet Commission has proposed a model diet to improve the health of human beings and that of the planet. Recently, we proposed the Planetary Health Diet Index (PHDI) to assess adherence of the population to this model diet. In this study, we aimed to evaluate adherence to the PHDI and obesity outcomes using baseline data from 14,515 participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The dietary data were assessed using a 114-item FFQ. Body mass index (BMI) and waist circumference (WC) were both used continuously and categorized. Linear and multinomial regression models adjusted for potential confounding factors were performed to assess the relationship between adherence to PHDI and outcomes. An inverse association was observed between adherence to PHDI and obesity indicators. Individuals with high adherence to the PHDI had lower BMI (ß-0.50 95% CI-0.73:-0.27) and WC (ß-1.70 95% CI-2.28:-1.12) values. They were also 24% less likely to be overweight (OR 0.76 95% CI 0.67:0.85) or obese (OR 0.76 95% CI 0.65:0.88), and they were 14% and 27% less likely to have increased WC (OR 0.86 95% CI 0.75:0.98) or substantially increased WC (OR 0.73 95% CI 0.64:0.83) than those with lower adherence. Our results showed that higher adherence to the PHDI may decrease obesity indicators.

Consumption of alcoholic and non-alcoholic beverages: ELSA-Brasil results. / Consumo de bebidas alcoólicas e não alcoólicas: Resultados do ELSA-Brasil.

The study aims to describe the consumption of alcoholic and non-alcoholic beverages according to sociodemographic, health and location variables. Cross-sectional study with ELSA-Brasil data (2008-2010). A questionnaire was used to collect sociodemographic, food, health data and anthropometry. Descriptive analysis and association with variables of interest were carried out. In the sample, 8% of the total caloric value comes from non-alcoholic beverages (5.6%: sugary drinks), and 4% from alcoholic beverages (2.7%: beer). Consumers of unsweetened and artificially sweetened beverages reported moderate/strong physical activity, former smokers and higher education. The opposite was true for sugary drinks. Eutrophic people reported higher consumption of sugary drinks and those obese, artificially sweetened and beer. Alcohol consumption varied with age (young: beer; elderly: wine/spirits) and education (low education: beer/spirits; higher education: wine). Coffee, natural juice and soda were the most consumed non-alcoholic beverages and beer was the most prevalent alcoholic beverage. Consumption variation was observed according to geographic location. The consumption of sugary and alcoholic beverages is high in Brazil and public health strategies are required.

Objetiva-se descrever o consumo de bebidas alcoólicas e não alcoólicas segundo variáveis sociodemográficas, de saúde e localização. Estudo transversal com dados do ELSA-Brasil (2008-2010). Aplicou-se questionário para coleta de dados sociodemográficos, de alimentação, saúde, além de antropometria. Realizou-se análise descritiva e associação com variáveis de interesse. Na amostra, 8% do valor calórico total é proveniente de bebidas não alcoólicas (5,6%: bebidas açucaradas), e 4% de bebidas alcoólicas (2,7%: cerveja). Os consumidores de bebidas não adoçadas e adoçadas artificialmente realizam atividade física moderada/forte, são ex-fumantes e apresentam escolaridade alta. O oposto foi verificado para as bebidas açucaradas. Indivíduos eutróficos relataram maior consumo de bebidas açucaradas e os obesos, as adoçadas artificialmente e cerveja. O consumo de bebidas alcoólicas variou com a idade (jovens: cerveja; idosos: vinho/destiladas) e escolaridade (baixa: cerveja/destiladas; alta: vinho). Café, suco natural e refrigerante foram as bebidas não alcoólicas mais consumidas e a cerveja a alcoólica mais prevalente. Observou-se variação de consumo segundo a localização geográfica. O consumo de bebidas açucaradas e alcoólicas é alto no Brasil e estratégias de saúde pública são necessárias.