Longitudinal Study Of Adult Health Research Articles

Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.

Biological age is a construct that seeks to evaluate the biological wear and tear process of the organism that cannot be observed by chronological age. We estimate individuals' biological age based on biomarkers from multiple systems and validate it through its association with mortality from natural causes. Biological age was estimated in 12,109 participants (6621 women and 5488 men) from the first visit of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) who had valid data for the biomarkers used in the analyses. Biological age was estimated using the Klemera and Doubal method. The difference between chronological age and biological age (Δage) was computed. Cox proportional hazard models stratified by sex were used to assess whether Δage was associated with mortality risk after a median follow-up of 9.1years. The accuracy of the models was estimated by the area under the curve (AUC). Δage had equal mean for men and women, with greater variability for men. Cox models showed that every 1-year increase in Δage was associated with increased mortality in men (HR (95% CI) 1.21; 1.17-1.25) and women (HR (95% CI) 1.24; 1.15-1.34), independently of chronological age. Results of the AUC demonstrated that the predictive power of models that only included chronological age (AUC chronological age = 0.7396) or Δage (AUC Δage = 0.6842) was lower than those that included both, chronological age and Δage (AUC chronological age + Δage = 0.802), in men. This difference was not observed in women. We demonstrate that biological age is strongly related to mortality in both genders and is a valid predictor of death in Brazilian adults, especially among men.

Associations of TSH, free T3, free T4, and conversion ratio with incident hypertension: results from the prospective Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

To evaluate the association of TSH, free T3 (FT3), free T4 (FT4), and conversion (FT3:FT4) ratio values with incident hypertension. The study included data from participants of the ELSA-Brasil study without baseline hypertension. Serum TSH, FT4 and FT3 levels, and FT3:FT4 ratio values were assessed at baseline, and incident hypertension (defined by blood pressure levels ≥ 140/90 mmHg) was estimated over a median of 8.2 years of follow-up. The risk of incident hypertension was evaluated considering a 1-unit increase in TSH, FT4, FT3, and conversion ratio values and after dividing these variables into quintiles for further analysis using Poisson regression with robust variance. The results are presented as relative risks (RR) and 95% confidence intervals (CIs) before and after adjustment for multiple variables. The primary analysis incorporated data from 5,915 euthyroid individuals, and the secondary analysis combined data from all euthyroid individuals, 587 individuals with subclinical hypothyroidism, and 31 individuals with subclinical hyperthyroidism. The rate of incident hypertension was 28% (95% CI: 27%-29.3%). The FT4 levels in the first quintile (0.18-1.06 ng/dL) were significantly associated with incident hypertension (RR: 1.03, 95% CI: 1.01-1.06) at follow-up. The association between FT4 levels in the first quintile and incident hypertension was also observed in the analysis of combined data from euthyroid individuals and participants with subclinical thyroid dysfunction (RR: 1.04, 95% CI: 1.01-1.07). The associations were predominantly observed with systolic blood pressure levels in euthyroid individuals. However, in the combined analysis incorporating euthyroid participants and individuals with subclinical thyroid dysfunction, the associations were more pronounced with diastolic blood pressure levels. Low FT4 levels may be a mild risk factor for incident hypertension in euthyroid individuals and persons with subclinical thyroid dysfunction.

GlycA Levels Independently Predict Coronary Artery Calcium Incidence and Progression in the ELSA-Brasil Cohort (Brazilian Longitudinal Study of Adult Health)

Atherosclerosis is an inflammatory disease. Coronary artery calcium (CAC) is a marker of atherosclerotic disease events and mortality risk. Elevated GlycA, an emerging marker of inflammation, is associated with a higher risk for coronary artery disease (CAD). However, there is conflicting evidence on whether GlycA predicts subclinical CAD progression. We hypothesized that GlycA can predict subclinical CAC incidence/progression in healthy individuals. We included 2,690 ELSA-Brasil cohort participants without cardiovascular/chronic inflammatory disease not receiving statin therapy who had GlycA levels measured and two interval CAC assessments between 2010 through 2018. Multivariable logistic and linear regression models were computed to evaluate GlycA as a predictor of CAC incidence and progression. CAC incidence required a baseline CAC of 0. CAC progression required a baseline CAC > 0. The mean age of participants was 48.6 ± 7.7 years, 56.7% were female, 54.6% and 16.1% (429/2690) were White and Black, respectively. The mean CAC interscan period was 5.1 ± 0.9 years, the mean GlycA level was 414.7 ± 65 μmol/L, and the incidence of CAC was 13.1% (280/2,129). GlycA level odds ratio (OR) for CAC incidence was 1.002 [95% confidence interval (CI) 1.0005-1.005, p=0.016] adjusted for demographics, lifestyle, a family history of early CAD (≤60 years), lipids, and comorbidities. The GlycA (≤p25 vs ≥p75) OR for CAC progression (Berry definition) was 1.77 (95% CI 1.07-2.96, p=0.03) in a similar multivariable-adjusted model. Higher GlycA levels were associated with CAC incidence and progression in a healthy Brazilian cohort.

Hair cortisol levels are associated with overweight and obesity in the ELSA-Brasil cohort.

Hair cortisol level has recently been identified as a promising marker for detecting long-term cortisol levels and a marker of hypothalamic-pituitary-adrenal cortex (HPA) axis activity. However, research on the association between obesity and an altered cortisol metabolism remains controversial. This study aimed to investigate the relationship between hair cortisol levels and overweight and obesity in participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). This was a cross-sectional study involving 2,499 participants from the second follow-up (visit 3, 2017-2019) attending research centers in Rio de Janeiro and Rio Grande do Sul states. Hair samples were collected, and cortisol levels were analyzed using enzyme-linked immunosorbent assay (ELISA) kits. Cortisol levels were classified as low (< 40 pg/mg), medium (40-128 pg/mg), or high (> 128 pg/mg). The participants were classified as eutrophic, overweight, or obese according to their weight (kg) and height (m2). Odds ratios (ORs) with 95% confidence intervals (95%CI) were estimated. Of the 2499 individuals, 30% had eutrophic weight, 40% were overweight, and 30% were obese. Notably, cortisol levels gradually increased with increasing body weight. Among participants with high hair cortisol levels, 41.2% were classified as overweight and 34.2% as obese. Multinomial logistic regression analysis indicated that participants with high cortisol levels were 43% (OR =1.43; 95%CI: 1.02-2.03) more likely to be overweight and 72% (OR =1.72; 95%CI:1.20-2.47) more likely to be obese than participants with low hair cortisol levels. After adjustment for all covariates, high cortisol levels remained associated with obesity (OR = 1.54; 95%CI:1.02-2.31) and overweight (OR =1.33; 95%CI:0.91-1.94). In the ELSA-Brazil cohort, hair stress were positively associated with overweight and obesity. These results underscore the importance of considering stress and cortisol as potential factors in obesity prevention and intervention efforts, and highlight a novel aspect of the complex relationship between stress and obesity in the Brazilian population.

Thyroid hormone homeostasis in levothyroxine-treated patients: Findings from ELSA-Brasil.

The effectiveness of levothyroxine (LT4) in restoring thyroid hormone (TH) homeostasis, particularly serum thyroxine (T4) and triiodothyronine (T3) levels, remains debatable. To assess TH homeostasis in LT4-treated individuals using data from the Longitudinal Study of Adult Health in Brazil (ELSA-Brasil) study. The ELSA-Brasil study follows 15,105 adult Brazilians (aged 35 to 74 years) over 8.2 years (2008-2019) with 3 observation points assessing health parameters including serum thyroid stimulating hormone (TSH), free T4 (FT4), and free T3 (FT3) levels. We analyzed 186 participants that initiated treatment with LT4 during the study, and 243 individuals continuously treated with LT4 therapy. Initiation of therapy with LT4 resulted in a 11-19% decrease in TSH, a ∼19% increase in FT4, and a 7% reduction in FT3 serum levels (FT3 dropped >10% in ∼40% of the LT4-treated patients). This was associated with an increase in triglyceride levels and utilization of hypolipidemic and anti-diabetic medications. Participants continuously treated with LT4 exhibited a stable elevation in serum FT4 and, a reduction in serum FT3 and TSH levels. While 115 participants (47.3%) had at least one serum FT4 levels above the control reference range (>1.52 ng/dL), 38 participants (15.6%) had at least one serum FT3 below the reference range (<0.23 ng/dL). The present results challenge the dogma that treatment with LT4 for hypothyroidism restores TH homeostasis in all patients. A substantial number of LT4-treated patients exhibit repeated FT4 and FT3 levels outside the normal reference range, despite normal TSH levels. Further studies are needed to define the clinical implications of these findings.

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

ObjectiveTo 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). MethodsIn 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. ResultsAmong 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. ConclusionThis 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.

Dietary patterns and adiposity over time - analysis of the ELSA-Brasil.

Combining different statistical methods to identify dietary patterns (DP) may provide new insights on how diet is associated with adiposity. This study investigated the association of DP derived from three data-driven methods and adiposity indicators over time. This study used data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). DP were identified at baseline applying three statistical methods: Factor Analysis (FA), Treelet Transform (TT), and Reduced Rank Regression (RRR). The association between DP and adiposity indicators (weight, body mass index, waist circumference, body fat percentage and fat mass index) over the period of 8.2 years of follow-up was assessed by linear mixed-models. Convenience DP, marked by unhealthy food groups, was associated with higher adiposity over the follow-up period, regardless of the method applied. The DP identified by TT and marked by high consumption of rice and beans was associated with lower adiposity, whereas the similar DP identified by FA, but additionally characterised by consumption of poultry and red meat was associated with higher adiposity. Prudent DP, marked by plant-based food groups and fish, identified by FA was associated with lower adiposity across the median follow-up time. Applying different methods to identify DP showed that a convenience DP was associated with higher adiposity independent of the method applied. We also identified the nuances within adherence to a Brazilian traditional dietary pattern characterised by the consumption of rice and beans, that only when combined with reduced consumption of animal protein and unhealthy foods was associated with lower adiposity over time.

Triglyceride-glucose index demonstrates reasonable performance as a screening tool but exhibits limited diagnostic utility for insulin resistance: Data from the ELSA-Brasil cohort

Insulin resistance (IR) is a key risk factor for chronic metabolic diseases, but its laboratory diagnosis is still costly; thus, the triglyceride-glucose (TyG) index has been proposed as a surrogate method. Our aim was to provide a detailed analysis of cutoffs and test the hypothesis that the TyG index would present reasonable performance parameters for IR screening. This is a cross-sectional study with baseline data from 12,367 eligible participants of both sexes (aged 35-74 years) from the Brazilian Longitudinal Study of Adult Health. TyG correlation and agreement with the Homeostasis Model Assessment for Insulin Resistance were analyzed. Positive and negative predictive values (PV+, PV-) and likelihood ratio (LR+, LR-) were calculated. A moderate positive correlation between TyG and Homeostasis Model Assessment for Insulin Resistance was observed (Pearson r = 0.419). The area under the receiver operating characteristic curve of TyG for IR diagnosis was 0.742 and the optimal cutoff was 4.665, reaching a kappa agreement value of 0.354. For this cutoff, a PV+ of 59.3% and PV- of 76.0%, as well as an LR+ of 2.07 and LR- of 0.45 were obtained. Alternatively, because high sensitivity is desired for screening tests, selecting a lower cutoff, such as 4.505, increases the PV- to 82.1%, despite decreasing the PV+ to 50.8%. We conclude that TyG has important performance limitations for detecting IR, but that it may still be reasonably useful to help screening for IR in adults because it can be calculated from low-cost routine blood tests.

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

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. 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. 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. 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).

The impact of diabetes and subclinical hypothyroidism association with coronary artery calcium: results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

We aimed to analyze the association of diabetes and subclinical hypothyroidism with subclinical atherosclerosis measured by coronary artery calcium (CAC) in the baseline of the ELSA-Brasil study. CAC was measured using a 64-detector computed tomographic scanner. The association of CAC > 0 was presented as an odds ratio (OR) and 95% confidence intervals (95%CI) in logistic models and as β (95%CI) in linear models after multivariable adjustment for confounders. We analyzed 3,809 participants (mean-age (SD) 50.5 (8.8); 51.7% women). In the main analysis, we did not find an association of diabetes and subclinical hypothyroidism with CAC. However, in stratified analysis according to age strata, we found no significative interaction terms, an important heterogeneity between the groups, with the younger age strata showing an association of the group with both diseases and CAC > 0 (OR 7.16; 95%CI, 1.14; 44.89) with a wide but significative 95%CI, suggesting that the smaller number of participants in the younger group may influence the results. Our findings also showed an association of CAC > 0 and log (CAC+1) with diabetes in logistic (OR, 1.31; 95%CI, 1.05-1.63) and linear models (β, 0.24, 0.16, 0.40), respectively. Diabetes was independently associated with CAC > 0 in linear models. In conclusion, our results showed a great heterogeneity in stratified analysis based on age in the younger age strata. Although we found no significant interaction factors, the smaller sample size for the analysis may influence the negative findings.

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

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. 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. 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. 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.

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

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. 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. 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. 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.

Dynapenia and sarcopenia: association with the diagnosis, duration and complication of type 2 diabetes mellitus in ELSA-Brasil.

Sarcopenia (the loss of muscle mass, strength and skeletal muscle function) increases mortality and the risk of hospitalization in the older population. Although it is known that older adults with type 2 diabetes mellitus (T2DM) have a higher risk of dynapenia and sarcopenia, few studies have investigated these conditions in middle-aged populations. The objective of this study was to investigate whether T2DM, its duration, the presence of albuminuria, and glycemic control are associated with sarcopenia and its components in adults. The cross-sectional analysis was based on data from visit 2 of the Brazilian Longitudinal Study of Adult Health (2012-2014). The 2018 European Working Group on Sarcopenia in Older People criteria were used to define dynapenia, low appendicular muscle mass (LAMM), and sarcopenia (absent/probable/confirmed). The explanatory variables were: T2DM; duration of T2DM; T2DM according to the presence of albuminuria; and glycemic control (HbA1C < 7%) among people with T2DM. A total of 12,132 participants (mean age = 55.5, SD: 8.9 years) were included. The odds ratio for LAMM was greater among those with T2DM, T2DM duration from 5 to 10 years, and T2DM without albuminuria. Chances of dynapenia were higher among those with T2DM, T2DM duration > 10 years, and T2DM with and without albuminuria. The variables T2DM, T2DM ≥ 10 years, and T2DM with albuminuria increased the odds of probable sarcopenia, and T2DM duration from 5 to 10 years increased the odds of confirmed sarcopenia. The results support the importance of frequently monitoring the musculoskeletal mass and strength of individuals with T2DM to prevent sarcopenia and related outcomes.

Thrombin generation and all-cause mortality in The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Introduction: Thrombin generation assay (TGA) is a laboratory method that provides the global evaluation of hemostasis. The association between thrombin generation and all-cause mortality is poorly investigated and results are contradictory. This study evaluated whether TGA parameters are associated with all-cause mortality in a prospective cohort. Methods: This study was conducted in 2,588 participants enrolled at baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). TGA was performed using the Calibrated Automated Thrombogram (CAT) method, and its parameters lagtime, time-to-peak, peak, Endogenous Thrombin Potential (ETP) and normalized ETP (nETP) were evaluated according to the reference interval (RI). The association between TGA parameters and all-cause mortality was estimated by Cox regression and adjusted for confounders. Results: The mean follow-up time was 6.6 ± 2.7 years and 85 deaths occurred. After adjustment, time-to-peak values above the RI at low and high tissue factor (TF) concentrations were associated with higher risk of death [HR = 2.45 (95 % CI: 1.17–5.13) and HR = 2.24 (95 % CI: 1.02–4.93), respectively] and nETP and peak values below RI at high TF concentration were associated with higher risk of death [HR = 3.85 (95 % CI: 1.39–10.68) and HR = 2.56 (95 % CI: 1.17–5.61), respectively]. Conclusions: Delayed thrombin generation was associated with higher risk of all-cause mortality.

Are ambulatory blood pressure parameters associated more with central adiposity than with total adiposity? Results of the ELSA-Brasil study.

Worldwide obesity has a high prevalence, as well as carries a high risk of several chronic diseases, including hypertension. Studies of the association between obesity and ambulatory blood pressure (BP) are scarce and most use only body mass index (BMI) as indicator of adiposity. Thus, we aimed to examine for associations between total and central adiposity and ambulatory BP parameters (BP means and variability, nocturnal dipping and morning surge) among participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). This cross-sectional study (2012-2014) used a subsample of participants (n = 812) of ELSA-Brasil who underwent 24-hour ambulatory BP monitoring to assess systolic and diastolic BP (SBP and DBP, respectively) over 24-hour periods and sub-periods. Indicators for total adiposity were BMI and body fat (BF) and, for central adiposity, waist circumference (WC) and waist-to-height ratio (WHR). Associations were tested using crude and adjusted gamma and logistic regression. Overweight (BMI) and abdominal obesity (WC and WHR) associated positively with mean 24-hour (Coef = 2.71, 3.09 and 4.00, respectively), waking (Coef = 2.87, 3.26 and 4.16, respectively), and sleeping (Coef = 2.30, 2.74 and 3.50, respectively) SBP; mean DBP associated with high WHR in these three periods (Coef = 2.00, 2.10 and 1.68, respectively) and with WC in the waking period (Coef = 1.44). Overweight and abdominal obesity (WC and WHR) were positively associated with SBP variability over 24 h (Coef = 0.53, 0.45 and 0.49, respectively) and in sleep (Coef = 0.80, 0.74 and 0.59, respectively), and with DBP variability in 24 h (Coef = 0.64, 0.73 and 0.58, respectively), wakefulness (Coef = 0.50, 0.52 and 0.52, respectively) and sleep (Coef = 0.53, 0.45 and 0.49); excess BF associated positively with DBP variability over 24 h (Coef = 0.43) and in wakefulness (Coef = 0.38). Lastly, high WHR and excess BF were associated with higher odds of extreme dipping (OR = 1.03 for both), while high WC and WHR associated with higher odds of exacerbated diastolic morning surge (OR = 3.18 and 3.66, respectively). Indicators of adiposity were associated with the BP means and variability, nocturnal dipping and morning surge, with more substantial results for indicators of central adiposity that the others.

Potentially Inappropriate Medications and cognitive performance: cross‐sectional results from the ELSA–Brasil study

AbstractBackgroundPotentially inappropriate medications (PIM), especially those with potential effects on the central nervous system, can increase the risk of cognitive impairment. We investigated the association of the use of PIM with cognitive performance among older adults.MethodIn this cross‐sectional analysis of the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil), 2,626 participants were included (mean age = 65.1±4.1 years old, 54% women, and 61% White). PIM was defined by the 2019 American Geriatrics Society Beers criteria. We calculated global cognition and memory, verbal fluency, and Trail Making Test B version (TMT‐B) z‐scores. Linear regression models adjusted for sociodemographic and clinical variables were used to investigate the association between PIM and cognition.Result27% of the sample used at least one PIM. PIM use was associated with worse performance in the TMT‐B (β = ‐0.17, 95% Cl = ‐0.29; ‐0.05, p = 0.007).ConclusionThe use of PIM was associated with worse executive function among older adults.

Baseline thyroid hormone levels are not associated with cognitive decline: the ELSA‐Brasil study

AbstractBackgroundThyroid dysfunction has been associated with cognitive decline and dementia. However, the role of subtle thyroid hormone alterations in cognitive function is still debatable. Additionally, most studies have been conducted in high‐income countries. The aim of this study was to investigate the longitudinal association between baseline thyrotropin (TSH), free thyroxine (FT4), and free triiodothyronine (FT3) levels with cognitive decline in the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) during 8 years of follow‐up.MethodParticipants were evaluated every four years in three study waves (2008‐10, 2012‐14, and 2017‐19). Baseline TSH, FT4, and FT3 were collected after overnight fast and analyzed using immunoenzymatic assay. Cognitive performance was evaluated using the immediate and late recall, semantic and phonemic verbal fluency, and the trail‐making tests. A global composite z‐score was derived from these tests. Association of TSH, FT4 and FT3 levels with cognitive decline over time was evaluated using linear mixed‐effects models, adjusted for sociodemographic, lifestyle, and clinical variables.ResultIn 9,524 participants (mean age 51.2±8.9 y, 51% women, 52% White), the mean baseline TSH level was 2.3 ± 1.3 mIU/L, the mean baseline FT4 level was 1.2 ± 0.1 ng/dL, and the mean FT3 level was 0.2 ± 0.04 pg/mL (Table 1). There was no association between circulating TSH, FT4, and FT3 levels and cognitive decline during the follow‐up (Table 2 and Figure 1).ConclusionThyroid hormone levels were not associated with cognitive decline in middle‐aged and older adults without overt thyroid dysfunction during 8 years of follow‐up.

Baseline neuropsychological intra‐individual variability predicts cognitive impairment 8 years later in the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil)

AbstractBackgroundNeuropsychological assessment is still vastly based on a nomothetic approach. However, middle‐aged and older adults might start to reveal higher intra‐individual cognitive variability (IICV) as an early sign of cognitive impairment, even when still cognitively normal. IICV refers to inconsistency in function and has been related to an increased risk for dementia. Therefore, we aimed to verify if baseline IICV predicts the occurrence of cognitive impairment after eight years.MethodWe included 10,783 participants from the ELSA‐Brasil study, a multicenter, prospective cohort study with three waves, approximately four years apart each, starting in 2008. The ELSA‐Brasil baseline exclusion criteria included the presence of clinically observed severe cognitive or communication impairment. Participants' health status and cognitive performance were evaluated at baseline (W1) and Wave 3 (W3). Baseline neuropsychological assessment comprised measures of memory and executive function. We used regression corrected‐based norms, from a robust normative subsample, to generate the presence of baseline cognitive deficit (&lt; ‐1.5 SD) (BCD) and the mean standard deviation across baseline cognitive scores (IICV). Mini‐Mental State Exam at W3 was corrected according to education‐based cutoff to verify the presence of cognitive impairment. Logistic regression, adjusted for sociodemographic (age, sex/gender, education, race/ethnicity) and clinical confounders (depressive symptoms, hypertension, diabetes, and alcohol consumption), was used to predict the odds ratios (OR) of being cognitively impaired after eight years of follow‐up when considering IICV, BCD and both.ResultParticipants had a mean age of 59.0±8.7 years old, 56% were women, 7% had less than high school level, and 42% were Black/Brown (Table 1). IICV within tasks ranged from 0.7 to 7.9 standard deviations, and only 1% of the sample had BCD. Higher IICV is associated with a higher occurrence of cognitive impairment after eight years, even after controlling for other risk factors (Table 2). IICV was associated with cognitive impairment even after controlling for BCD.ConclusionHigher cognitive intra‐individual variability among test scores at baseline was associated with a higher risk for cognitive impairment later in life. Cognitive heterogeneity should be considered during the neuropsychological assessment interpretation and can be a target for the detection of pre‐clinical cognitive impairment.

Optimal cardiovascular health is associated with slower cognitive decline.

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. 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. 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 (β = 0.001, 95% confidence interval [CI] 0.001, 0.002; p < 0.001), memory (β = 0.001, 95% CI 0.000, 0.002; p = 0.013), verbal fluency (β = 0.001, 95% CI 0.000, 0.002; p = 0.003), and TMT-B (β = 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. 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.

Examining the Usage Patterns of Non-Nutritive Sweeteners among Non-Diabetic Individuals: Insights from the Longitudinal Study of Adult Health (ELSA-Brasil).

Although non-nutritive sweeteners (NNSs) were formulated primarily for sugar-restricted diets, nowadays, their consumption has become widespread among the general population. Thus, the purpose of this study was to estimate the prevalence of the regular use of NNSs and their associated factors among non-diabetic individuals from the baseline of the Longitudinal Study of Adult Health (ELSA-Brasil). In total, 9226 individuals were analysed, and the regular consumption of NNSs was defined as follows: NSSs are used at least once a day. Associations between exposure and outcomes were analysed using chi-square and Student's t-tests. Significant variables were inserted into a binary logistic regression model to determine the adjusted association measures (significance level of 5%). The prevalence of regular NNS consumption was 25.7%. Regular NNS consumption increased with age, categories of BMI, income, and schooling. The odds of regularly consuming NNSs were 1.9-times higher among women, 6.1-times higher among obese individuals, and 1.8-times higher among those with higher schooling and income. Specific groups seem to present a larger association relative to the use of NNS. Based on the significant overall prevalence of the regular use of NNSs, a discussion regarding country-wide policies related to their intake is needed to address recent WHO directions concerning this additive.