Optimal cardiovascular health is associated with slower cognitive decline.

BACKGROUND: Life's Simple 7, a lifestyle and cardiovascular index associated with cognition, has been updated to Life's Essential 8 (LE8) to include sleep. LE8 has been related to cardiovascular outcomes but its association with cognition is unclear. METHODS: In this longitudinal analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), LE8 score was based on health behaviors (diet, physical activity, nicotine exposure, and sleep health) as well as health-related factors (body mass index, blood lipids, blood glucose, and blood pressure). Cognition was assessed in three waves, 4 years apart, using the Consortium to Establish a Registry for Alzheimer's Disease - Word List, semantic and phonemic verbal fluency, the Trail-Making Test B (TMT-B), and a global composite score. We used linear mixed-model analysis, inverse probability weighting, and interaction analysis. RESULTS: At baseline, the mean age of the study cohort was 51.4 ± 8.9 years, 56% were women, and 53% were White. Higher baseline LE8 scores were associated with slower decline in global cognition (ß = 0.001, 95% confidence interval [CI] 0.001, 0.002; p < 0.001), memory (ß = 0.001, 95% CI 0.000, 0.002; p = 0.013), verbal fluency (ß = 0.001, 95% CI 0.000, 0.002; p = 0.003), and TMT-B (ß = 0.004, 95% CI 0.003, 0.005; p < 0.001). This association was mainly driven by LE8 health factors, particularly blood glucose and blood pressure. Age, sex, and race were modifiers of the association between LE8 and global cognitive decline (p < 0.001), suggesting it was more pronounced in older, male, and Black participants. CONCLUSIONS: Higher baseline LE8 scores were associated with slower global and domain-specific cognitive decline during 8 years of follow-up, mainly due to health factors such as blood glucose and blood pressure. Sociodemographic factors were modifiers of this association.

Predictive value of functional disability scales among stroke survivors: A long-term mortality evaluation in a Brazilian stroke cohort.

OBJECTIVE: To assess the influence of two functional scales- Modified Rankin Scale (m-RS) and Modified Katz Index (m-Katz Index) on long-term mortality in a stroke cohort. MATERIAL AND METHODS: Among 760 stroke survivors (median age: 66 (IQR:56-75), 56.4 % women) m-Katz Index and m-RS scales applied at 1 and 6 months after stroke, were investigated in relation to 12-years of all-cause mortality. Kaplan-Meier survival curves were computed, and time-varying covariate Cox regression models were fitted to calculate hazard ratios (HRs) with 95 % confidence intervals (CIs) in all sample and by sex. The prognostic ability of the fitted models was computed for each model by six different measures. RESULTS: After 12 years of follow-up (median survival time: 7.3 years), 311 participants died. Overall survival curves show lower survival rates among those with the highest levels of disability/dependence (all log-rank p-values <0.0001). These findings were confirmed in all regression models for both sexes, particularly in men who had higher levels of dependence on Activities of Daily Living (ADLs) by m-Katz Index and severe disability by m-RS and presented the highest HR of dying (HR: 3.34 (95 %CI: 2.27-4.92) and HR: 4.94 (95 % CI: 3.15-7.75), respectively). CONCLUSIONS: Both the m-Katz Index and the m-RS scale were good predictors of long-term mortality, which is of importance for guiding the functional rehabilitation of stroke patients. Besides, high levels of disability and dependence were implicated with high mortality risks, regardless of sex.

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.

Percentiles of predicted 10-year cardiovascular disease risk by sex and age in Brazil and their association with estimated risk of long-term atherosclerotic events.

OBJECTIVE: Expressing the cardiovascular disease (CVD) risk in relation to peers may complement the estimation of absolute CVD risk. We aimed to determine 10-year CVD risk percentiles by sex and age in the Brazilian population and evaluate their association with estimated long-term atherosclerotic CVD (ASCVD) risk. METHODS: A cross-sectional analysis of baseline data from the ELSA-Brasil study was conducted in individuals aged 40-74 years without prior ASCVD. Ten-year CVD risk and long-term ASCVD risk were estimated by the WHO risk score and the Multinational Cardiovascular Risk Consortium tool, respectively. Ten-year risk percentiles were determined by ranking the calculated risks within each sex and age group. RESULTS: Ten-year CVD risk versus percentile plots were constructed for each sex and age group using data from 13,364 participants (55% females; median age, 52 [IQR, 46-59] years). Long-term ASCVD risk was calculated in 12,973 (97.1%) participants. Compared to individuals at the <25th risk percentile, those at the ≥75th percentile had a greater risk of being in the highest quartile of long-term risk (ORs [95% CIs] 6.57 [5.18-8.30] in females and 11.59 [8.42-15.96] in males) in regression models adjusted for age, race, education, and 10-year CVD risk. In both sexes, the association between risk percentile and long-term risk weakened after age 50. A tool for calculating 10-year CVD risk and the corresponding percentile is available at https://bit.ly/3CzPUi6. CONCLUSIONS: We established percentiles of predicted 10-year CVD risk by sex and age in the Brazilian population, which independently reflect the estimated long-term ASCVD risk in younger individuals.

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.

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.

Anaemia and its causes at the Brazilian Longitudinal Study of Adult Health: a cross-sectional analysis of baseline data.

BACKGROUND: Most anaemia studies focus on children and women of childbearing age. We assessed the frequency and main aetiologies of anaemia according to sociodemographic characteristics at the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of middle-aged adults. METHODS: The primary analyses included 15,051 participants aged 35-74 years with a valid blood cell count. We built logistic models to analyse the association between socioeconomic characteristics and anaemia diagnosis. We also described the main aetiologies in a subset (n = 209) of participants with anaemia. RESULTS: Anaemia was present in 3.0% (95% confidence interval [95%CI]: 2.6-3.4%) of men and 7.4% (95%CI: 6.9-8.0%) of women. The frequency of anaemia diagnosis was higher in women in all subgroups except for the oldest age stratum (65-74 years). The frequency of anaemia was particularly high in Blacks (6.0% and 15.5% in men and women, respectively). The most common causes of anaemia were iron deficiency (in women), chronic kidney disease, and chronic inflammation (in men). The frequency of unexplained anaemia was respectively 33.3% and 34.2% for men and women, and this condition was more frequent among participants of Black or Mixed races. CONCLUSIONS: Anaemia was associated with age, female sex, Black race, and low socioeconomic status. Unexplained anaemia was common and more frequent in individuals of Black and Mixed races. ELSA-Brasil follow-up data may provide further insight into the relevance of unexplained anaemia in this setting.

This study aims to assess the frequency, associated factors, and (in a subsample) the leading causes of anaemia in a large epidemiological study in 6 Brazilian state capitals. Our primary analyses included 15,051 participants aged 35­74 years. Anaemia was present in 3.0% of men and 7.4% of women. The frequency of anaemia diagnosis was higher in women in all subgroups except for the oldest age stratum (65­74 years). The frequency of anaemia was particularly high in Blacks (6.0% and 15.5% in men and women, respectively). The most common causes of anaemia were iron deficiency (in women), chronic kidney disease, and chronic inflammation (in men). Despite an extensive workout to determine the causes of anaemia, this condition remained unexplained in approximately one-third of cases. Unexplained anaemia was more frequent among participants of Black or Mixed races. Besides providing a clear epidemiological description of anaemia in this setting, our work also provides insight into the interpretation of current cutoffs for anaemia diagnosis.

Remote vs. face-to-face activities in the teaching of renal pathophysiology in the context of social isolation during the early phase of the COVID-19 pandemic.

The advent of the COVID-19 pandemic forced medical schools around the world to adopt emergency remote learning as a resort to avoid interruption of courses. However, the effectiveness of online classes as an educational strategy has been questioned by medical educators and students. In a prospective observational study design, students enrolled in a renal physiology and pathophysiology course were exposed to either face-to-face or remote synchronous classes. Students taught online obtained significantly higher mean scores than the group who had in-person classes, both groups assessed with identical exams. Appropriate screening tests suggested that fraud is unlikely to have significantly influenced these results and that the observed differences in performance reflected increased learning by the remote group. These observations suggest that online classes can help to maintain the continuity of physiology and pathophysiology courses during periods of social isolation and may contribute to improving learning under normal conditions.NEW & NOTEWORTHY In this study, we were able to make a rare direct comparison of face-to-face and remote strategies for the teaching of undergraduate medical students in a specific area, namely, renal pathophysiology. Unexpectedly, students who attended the remote course had significantly higher grades than those who had mostly in-person classes.

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.

Obstructive Sleep Apnea, Sleep Duration, and Associated Mediators With Carotid Intima-Media Thickness: The ELSA-Brasil Study.

[Figure: see text].

Hearing Loss and Cognitive Function: Baseline Findings From the Brazilian Longitudinal Study of Adult Health: ELSA-Brasil.

OBJECTIVE: Hearing loss (HL) has been associated with cognitive impairment in high-income countries. However, no study has investigated this association in low- and middle-income countries. Therefore, our aim was to investigate the association between cognitive function and HL in the Brazilian Longitudinal Study of Adult Health. DESIGN: Cross-sectional analysis of Longitudinal Study of Adult Health (ELSA-Brasil) with 802 individuals (35-74 years old). Hearing was measured using pure-tone audiometry. A pure-tone average (s) of thresholds at 500, 1000, 2000, and 4000 Hz was calculated. HL was defined as a PTA above 25 dB in the better ear or either ear, as a categorical variable. Cognitive performance was measured using the Consortium to Establish a Registry for Alzheimer's Disease word list memory test, the semantic and phonemic verbal fluency (VF) tests, and the Trail Making test version B. To investigate the association between cognitive performance and HL, we used linear regression models adjusted for sociodemographic and clinical variables. RESULTS: Of the total of participants, 7.6% had HL. After adjustment for sociodemographic and health confounding variables, only VF was associated with HL; a 10 dB increase in the PTA in the better ear was associated with worse performance in the phonemic VF test (ß = -0.115 [95% CI, -0.203 to -0.027], p = 0.01). We found a significant interaction between HL and age in the VF domain ( p = 0.01). HL was related to poor VF performance among older adults only. CONCLUSION: In a community-dwelling sample of most middle-aged adults, objectively measured HL was associated with lower VF. These results should be evaluated with caution, given the likelihood of residual confounding and the fact that only VF showed an association with HL.

Trajectories of common mental disorders symptoms before and during the COVID-19 pandemic: findings from the ELSA-Brasil COVID-19 Mental Health Cohort.

AIM: Evidence indicates most people were resilient to the impact of the COVID-19 pandemic on mental health. However, evidence also suggests the pandemic effect on mental health may be heterogeneous. Therefore, we aimed to identify groups of trajectories of common mental disorders' (CMD) symptoms assessed before (2017-19) and during the COVID-19 pandemic (2020-2021), and to investigate predictors of trajectories. METHODS: We assessed 2,705 participants of the ELSA-Brasil COVID-19 Mental Health Cohort study who reported Clinical Interview Scheduled-Revised (CIS-R) data in 2017-19 and Depression Anxiety Stress Scale-21 (DASS-21) data in May-July 2020, July-September 2020, October-December 2020, and April-June 2021. We used an equi-percentile approach to link the CIS-R total score in 2017-19 with the DASS-21 total score. Group-based trajectory modeling was used to identify CMD trajectories and adjusted multinomial logistic regression was used to investigate predictors of trajectories. RESULTS: Six groups of CMD symptoms trajectories were identified: low symptoms (17.6%), low-decreasing symptoms (13.7%), low-increasing symptoms (23.9%), moderate-decreasing symptoms (16.8%), low-increasing symptoms (23.3%), severe-decreasing symptoms (4.7%). The severe-decreasing trajectory was characterized by age < 60 years, female sex, low family income, sedentary behavior, previous mental disorders, and the experience of adverse events in life. LIMITATIONS: Pre-pandemic characteristics were associated with lack of response to assessments. Our occupational cohort sample is not representative. CONCLUSION: More than half of the sample presented low levels of CMD symptoms. Predictors of trajectories could be used to detect individuals at-risk for presenting CMD symptoms in the context of global adverse events.

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.

Thyroid-stimulating hormone levels and incident depression: Results from the ELSA-Brasil study.

OBJECTIVE: This study aimed to prospectively evaluate whether TSH levels at baseline were associated with incident depression after four years of follow-up in a cohort of middle-aged adults, the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). METHODS: TSH and free-thyroxine (FT4) levels were evaluated at baseline. Depression diagnoses were performed using the Clinical Interview Schedule-Revised (CIS-R) at baseline and after a 4-year follow-up. Poisson regression models (95% Confidence Intervals) were built to evaluate the association between TSH quintiles at baseline and incident depression. All analyses were stratified by sex. Models were presented crude, adjusted for age and sex; and further adjusted for race, education, BMI, smoking, alcohol consumption, use of antidepressants/benzodiazepines, kidney function and comorbidities. RESULTS: Mean age was 51.5 years, and 51.2% were women. Overall, low TSH levels (1st quintile) were associated with incident depression (adjusted RR = 1.36, 95% CI 1.02-1.81), remaining significant for women (adjusted RR = 1.64, 95% CI 1.15-2.33), but not for men. The same results were found when restricting analysis to euthyroid participants (adjusted RR = 1.46, 95% CI 1.08-1.99), also significant for women only (adjusted RR = 1.63, 95% CI 1.12-2.38). CONCLUSIONS: Our results showed that low TSH levels were positively associated with incident depression, particularly among women. Similar results were found when restricting the analysis to euthyroid participants. In contrast, high TSH levels were inversely associated with incident depression, also among women.

Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study.

Abstract. BACKGROUND: Depression is highly prevalent and marked by a chronic and recurrent course. Despite being a major cause of disability worldwide, little is known regarding the determinants of its heterogeneous course. Machine learning techniques present an opportunity to develop tools to predict diagnosis and prognosis at an individual level. METHODS: We examined baseline (2008-2010) and follow-up (2012-2014) data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a large occupational cohort study. We implemented an elastic net regularization analysis with a 10-fold cross-validation procedure using socioeconomic and clinical factors as predictors to distinguish at follow-up: (1) depressed from non-depressed participants, (2) participants with incident depression from those who did not develop depression, and (3) participants with chronic (persistent or recurrent) depression from those without depression. RESULTS: We assessed 15 105 and 13 922 participants at waves 1 and 2, respectively. The elastic net regularization model distinguished outcome levels in the test dataset with an area under the curve of 0.79 (95% CI 0.76-0.82), 0.71 (95% CI 0.66-0.77), 0.90 (95% CI 0.86-0.95) for analyses 1, 2, and 3, respectively. CONCLUSIONS: Diagnosis and prognosis related to depression can be predicted at an individual subject level by integrating low-cost variables, such as demographic and clinical data. Future studies should assess longer follow-up periods and combine biological predictors, such as genetics and blood biomarkers, to build more accurate tools to predict depression course.

Metabolic status is not associated with job stress in individuals with obesity: the ELSA-Brasil baseline.

PURPOSE: Job stress has proven to be a relevant cause of stress for adults, but its effect on the development of metabolic alterations in individuals with obesity is still poorly explored. We aimed to investigate the association between job stress and metabolically unhealthy obesity (MUO) phenotype in participants with obesity at the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline assessment. METHODS: This study analyzed data collected at the baseline examination between 2008 and 2010. A total of 2371 individuals with obesity were included. Two metabolic phenotypes were characterized based on the US National Health and Nutrition Examination Survey criteria. The job stress scale was based on the Brazilian version of the Swedish Demand-Control-Support Questionnaire. The association between job stress domains and MUO phenotype was assessed by binary logistic models. RESULTS: In our sample, 1297 (54.7%) participants were women, mean age was 49.6 ± 7.1 years and 1696 (71.5%) had MUO. Low skill discretion was associated with MUO after adjustment for age, sex and race. However, in fully-adjusted models, the MUO phenotype was not associated with high job demand (odds ratio [OR] = 1.05; 95% confidence interval [95%CI] 0.82-1.35), low skill discretion (OR = 1.26; 95%CI 0.95-1.68), low decision authority (OR = 0.94; 95%CI 0.70-1.25) nor low social support (OR = 0.93; 95%CI 0.71-1.20). CONCLUSION: We found a significant association between low skill discretion and an adverse metabolic profile in models adjusted for age, sex and race. No associations were significant between job stress domains and the metabolic profile of individuals with obesity in full models.

Sleepiness, sleep deprivation, quality of life, mental symptoms and perception of academic environment in medical students.

BACKGROUND: It has been previously shown that a high percentage of medical students have sleep problems that interfere with academic performance and mental health. METHODS: To study the impact of sleep quality, daytime somnolence, and sleep deprivation on medical students, we analyzed data from a multicenter study with medical students in Brazil (22 medical schools, 1350 randomized medical students). We applied questionnaires of daytime sleepiness, quality of sleep, quality of life, anxiety and depression symptoms and perception of educational environment. RESULTS: 37.8% of medical students presented mild values of daytime sleepiness (Epworth Sleepiness Scale - ESS) and 8.7% presented moderate/severe values. The percentage of female medical students that presented ESS values high or very high was significantly greater than male medical students (p <  0.05). Students with lower ESS scores presented significantly greater scores of quality of life and perception of educational environment and lower scores of depression and anxiety symptoms, and these relationships showed a dose-effect pattern. Medical students reporting more sleep deprivation showed significantly greater odds ratios of presenting anxiety and depression symptoms and lower odds of good quality of life or perception of educational environment. CONCLUSIONS: There is a significant association between sleep deprivation and daytime sleepiness with the perception of quality of life and educational environment in medical students.

Association of Carotid Plaques and Common Carotid Intima-media Thickness with Modifiable Cardiovascular Risk Factors.

OBJECTIVE: To assess the association of carotid plaques and common carotid artery intima-media thickness with traditional modifiable cardiovascular risk factors. METHODS: We examined 4,266 participants aged 35-74years in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline. The presence of plaques at all carotid arteries sites was evaluated. The mean far wall common carotid artery intima-media thickness was measured. To evaluate the association of cardiovascular risk factors with plaques and plaque burden, we applied logistic regression models presented as crude, adjusted by sociodemographic variables, along with multivariate further adjustment for hypertension, diabetes, hypercholesterolemia, and smoking. For the association of cardiovascular risk factors and common carotid artery intima-media thickness, linear regression models were used with the same adjustments. RESULTS: Median age was 51 years (interquartile range: 45-58 years; 54.5% of females). Plaque prevalence in at least one segment of the carotid arteries was 35.9%. Mean common carotid artery intima-media thickness of the far walls was 0.609 ± 0.133 mm. In the multivariate model for plaque presence, the odds ratios were:1.39 (1.19-1.63) for hypertension;1.58 (1.36-1.82) for hypercholesterolemia; 2.00 (1.65-2.43),1.19 (1.02-1.40) for current and past smoking, and 1.13 (0.95-1.35) for diabetes. In the multivariate linear regression models, common carotid artery intima-media thickness beta-coefficients were: 0.035 mm (0.027-0.043) for hypertension; 0.020 mm (0.013-0.027) for hypercholesterolemia; 0.020 mm (0.010-0.029), 0.012 mm (0.004-0.020) for current and past smoking, and 0.024 mm (0.015-0.033) for diabetes. CONCLUSION: Cardiovascular risk factors were independently associated with increasing common carotid artery intima-media thickness, plaque prevalence, and plaque scores. Diabetes did not show an independent association with plaques in the multivariate model.

Diabetes and subclinical hypothyroidism on heart rate variability.

BACKGROUND: We aimed to analyse if the effects of coexistent diabetes and subclinical hypothyroidism extend to the cardio autonomic nervous system, using heart rate variability baseline data from the Brazilian Longitudinal Study of Adult Health. MATERIALS AND METHODS: Heart rate variability analyses were performed by linear time and frequency domains in 5-minute time series collected in the supine position. The associations of diabetes and subclinical hypothyroidism with the lowest quartile group for heart rate and the highest quartile group for each heart rate variability parameter were analysed using additive and multiplicative terms in logistic models. For the first approach, the subsample was categorized into four groups: subjects without diabetes and normal thyroid function (controls); subjects without diabetes and subclinical hypothyroidism; patients with diabetes and normal thyroid function; and patients with diabetes and subclinical hypothyroidism. For the interaction alnalysis, diabetes and subclinical hypothyroidism diagnoses were included in separate, along with a multiplicative interaction term between them. RESULTS: Point odds ratio estimates for the 4th quartiles of heart rate, and 1st quartiles of all heart rate variability measurements were higher for subjects with combined diabetes and subclinical hypothyroidism than for diabetes only, independently of main sociodemographic and clinical variables (HR: 8.33 vs 2.63; SDNN: 2.59 vs 1.61; RMSSD: 2.37 vs 1.42; LF: 2.83 vs 1.71; HF: 3.06 vs 1.39), but not independently of HbA1c and TSH. Only the interaction term for the association with heart rate, adjusted for sociodemographic and clinical variables, had borderline statistical significance. CONCLUSION: Diabetes and subclinical hypothyroidism exert a potential joint impact on cardiac autonomic control, showed by additive effects between diabetes and subclinical hypothyroidism, as well as a significant interaction term for the association with heart rate.

Anemia and Cognitive Performance in the ELSA-Brasil Cohort Baseline.

OBJECTIVE: The association between cognitive performance and hemoglobin concentration has long been a topic of debate, but few data for middle-aged persons have been explored. The authors examined the association between anemia and cognitive performance at baseline assessment in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a multicenter cohort study of individuals from six Brazilian cities. METHODS: A total of 13,624 participants (mean age=51.6 years [SD=9.0]) were included in this cross-sectional study. Cognitive performance was evaluated by using standardized scores for verbal learning, late recall, word recognition, a semantic verbal fluency test, and the Trail-Making Test, Part B (TMT-B). The association between anemia and cognitive performance was examined by using linear regression models adjusted for sociodemographic characteristics and cardiovascular risk factors. RESULTS: Anemia was diagnosed in 713 (5.2%) participants. No association was found between anemia and worse cognitive performance for the main models. Global cognitive scores were similar between participants with and without anemia in adjusted models for the entire sample (ß=-0.004; 95% CI=-0.052, 0.044) or for men (ß=0.047; 95% CI=-0.053, 0.146) and women (ß=-0.015; 95% CI=-0.070, 0.040) separately. In addition, hemoglobin levels (in quintile groups) were not associated with global cognitive scores. Similarly, no significant associations with anemia or hemoglobin levels were observed when each cognitive performance test was evaluated separately. CONCLUSIONS: Anemia and hemoglobin levels were not associated with worse cognitive performance in this large cohort.