Generation and External Validation of a Histologic Transformation Risk Model for Patients with Follicular Lymphoma.

Follicular lymphoma (FL) is the most frequent indolent lymphoma. Some patients (10%-15%) experience histologic transformation (HT) to a more aggressive lymphoma, usually diffuse large B-cell lymphoma (DLBCL). This study aimed to validate and improve a genetic risk model to predict HT at diagnosis.We collected mutational data from diagnosis biopsies of 64 FL patients. We combined them with the data from a previously published cohort (total n = 104; 62 from nontransformed and 42 from patients who did transform to DLBCL). This combined cohort was used to develop a nomogram to estimate the risk of HT. Prognostic mutated genes and clinical variables were assessed using Cox regression analysis to generate a risk model. The model was internally validated by bootstrapping and externally validated in an independent cohort. Its performance was evaluated using a concordance index and a calibration curve. The clinicogenetic nomogram included the mutational status of 3 genes (HIST1HE1, KMT2D, and TNFSR14) and high-risk Follicular Lymphoma International Prognostic Index and predicted HT with a concordance index of 0.746. Patients were classified as being at low or high risk of transformation. The probability HT function at 24 months was 0.90 in the low-risk group vs 0.51 in the high-risk group and, at 60 months, 0.71 vs 0.15, respectively. In the external validation cohort, the probability HT function in the low-risk group was 0.86 vs 0.54 in the high-risk group at 24 months, and 0.71 vs 0.32 at 60 months. The concordance index in the external cohort was 0.552. In conclusion, we propose a clinicogenetic risk model to predict FL HT to DLBLC, combining genetic alterations in HIST1H1E, KMT2D, and TNFRSF14 genes and clinical features (Follicular Lymphoma International Prognostic Index) at diagnosis. This model could improve the management of FL patients and allow treatment strategies that would prevent or delay transformation.

Serum Zinc Concentrations by Inflammation Status, Time of Day, and Fasting Status for Estimating Zinc Deficiency in 6-59-Mo-Old Children: Results from the Brazilian National Survey on Child Nutrition (ENANI-2019).

BACKGROUND: Serum zinc concentration (SZC) is considered the best biomarker of zinc status in population-level evaluations. However, zinc deficiency (ZD) estimations can be biased if they do not consider blood collection timing, inflammation, and fasting status. OBJECTIVES: The objectives of this study were to determine SZC without and with adjustment for inflammation, according to blood collection timing and fasting status, estimate ZD prevalence, and evaluate the associated factors with ZD in a representative sample of Brazilian children aged <5 y. METHODS: Population-based study with 7597 children aged 6-59 mo surveyed by the Brazilian National Survey on Child Nutrition. SZC was adjusted for inflammation using the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia regression correction approach, with high-sensitive C-reactive protein, assessed according to blood collection timing (morning/afternoon) and fasting status (<8 and ≥8 h). SZC <65 µg/dL (morning collection) or SZC <57 µg/dL (afternoon collection) were classified as ZD. The analysis between associated factors and ZD used the adjusted prevalence ratio (PR). RESULTS: After adjusting for inflammation, SZC was higher in all percentiles and varied according to collection timing and fasting status. Children who had blood collected in the morning without fasting or in the afternoon had lower SZC than those assessed in the morning with fasting. The differences in adjusted SZC according to the timing of collection and fasting status were greater in the higher percentiles of the distribution, with the greatest absolute difference observed when comparing the 95th percentile of morning fasting compared with nonfasting (20.3 µg/dL). The prevalence of ZD estimated without and with adjusting SZC for inflammation was 17.8% and 13.8%, respectively. The occurrence of diarrhea, fever, or respiratory symptoms in the 15 d before blood collection was associated with a higher prevalence of ZD (PR: 1.42; 95% confidence interval: 1.04, 1.94). CONCLUSIONS: Adjusting SZC for inflammation and considering fasting status is important to avoid overestimating the prevalence of ZD.

Effects of selenium supplementation on glycaemic control markers in healthy rodents: a systematic review and meta-analysis.

Overexposure to Se is detrimental to glucose metabolism, mainly because of its pro-oxidant effects and the overexpression of selenoproteins. This systematic review evaluated the effects of Se supplementation on glycaemic control in healthy rodents. The methodology followed the PRISMA. We searched the databases for articles published up to May 2022. The risk of bias and the methodological quality were assessed using the SYRCLE and CAMARADES. The results are presented as meta-analytic estimates of the overall standardised mean difference (SMD) and 95 % CI. Of the 2359 records retrieved, thirteen studies were included, of which eleven used sodium selenite and two used zero-valent Se nanoparticles as supplement. Nine studies were included in the meta-analysis. Generally, the risk of bias was high, and 23·1 % of the studies were of high quality. Supplementation with sodium selenite significantly increased fasting blood glucose (SMD = 2·57 (95 % CI (1·07, 4·07)), I2 = 93·5 % (P = 0·001). Subgroup analyses showed effect size was larger for interventions lasting between 21 and 28 d (SMD = 25·74 (95 % CI (2·29, 9·18)), I2 = 96·1 % (P = 0·001)) and for a dose of 864·7 µg/kg/d of sodium selenite (SMD = 10·26 (95 % CI (2·42, 18·11), I2 = 97·1 % (P = 0·010)). However, it did not affect glutathione peroxidase activity (SMD = 0·60 (95 % CI (-0·71, 1·91)), I2 = 83·2 % (P = 0·37)). The current analysis demonstrated the adverse effects of sodium selenite supplementation on glycaemic control in healthy rodents.

Motivations for weight loss in adolescents with overweight and obesity: a systematic review.

BACKGROUND: Adolescents with overweight and obesity report various motivations for weight loss other than the desire for better health. However, there is little evidence regarding the main motivations for weight loss in adolescents. The present systematic review aimed to identify the motivations for weight loss in adolescents with overweight and obesity. METHODS: A systematic search for original articles published up to December 2016 was carried out in the PubMed, Scopus, LILACS, and ADOLEC databases. The terms used in the search were: motivation, motive, reason, "weight loss," "lose weight," and adolescent. RESULTS: Six studies (all cross-sectional) met the selection criteria and were included in the review. The instruments used to assess the participants' motivations for weight loss were interviews and questionnaires with open questions. Seventeen motivations for weight loss were identified, the main ones being better health, esthetic/cosmetic reasons, improvements in self-esteem, and avoidance of provocation/bullying. CONCLUSIONS: The results of the present review show the need for validated instruments to assess the motivations for weight loss in adolescents with overweight and obesity. Moreover, the high frequency of motivations for weight loss related to appearance and social acceptance evidences the need for multidisciplinary weight loss interventions that consider not only the biological factors, but also the psychological and social aspects.

Food cravings among Brazilian population.

This study aimed to develop and validate a Brazilian version of the Food Craving Inventory (FCI-Br), adapted to the cultural-gastronomic context of Brazil, and to explore this behavior among adult Brazilians. The Study 1 population consisted of 453 adults from all regions of Brazil. Participants responded to a preliminary form of the instrument online. Exploratory factor analysis revealed an FCI-Br presenting 23 items and three factors: High Fat, Sweet Food and Traditional Meal. The FCI-Br overall reliability was considered adequate (α = 0.82), as were each of the sub-scales. The food items receiving higher average scores from the application of the instrument were chocolate (3.14 ± 1.28; women) and bread (2.94 ± 1.44, men). A significant association was observed between the specific-craving for Sweet Food and female respondents. Most participants reported experiencing more frequent episodes of food craving when alone (68.0%; n = 391) and during the afternoon (32.2%; n = 127) or evening (43.8%; n = 173) hours. Application of the FCI-Br in a population of 649 university students (Study 2) demonstrated a good adjustment of the model developed according to the Confirmatory factor analysis (χ2/gl = 2.82, CFI = 0.94; TLI = 0.93; RMSEA = 0.06). The current findings indicate that the FCI-Br has adequate psychometric properties to measure craving behavior with respect to specific food groups in the resident population of Brazil. The results of this study also shed light on the importance of considering the cultural diversity of a population when investigating eating behaviors.

The Brazilian version of the three-factor eating questionnaire-R21: psychometric evaluation and scoring pattern.

PURPOSE: This study aimed to evaluate the psychometric properties and scoring pattern of the Brazilian version of the three-factor eating questionnaire-r21 (TFEQ-R21). METHODS: Data were collected from 410 undergraduate students. Confirmatory factor analysis was conducted to examine the factor structure of the TFEQ-R21. Convergent and discriminant validity also was assessed. Cluster analysis was performed to investigate scoring patterns. RESULTS: In assessing the quality setting, the model was considered satisfactory (χ 2/gl = 2.24, CFI = 0.97, TLI = 0.96, RMSEA = 0.05). The instrument was also considered appropriate in relation to the discriminant and convergent validity. There was a positive correlation between body mass index and the dimensions of cognitive restraint (r s  = 0.449, p < 0.001) and emotional eating (r s  = 0.112, p = 0.023). Using cluster analysis three respondent profiles were identified. The profile "A" was associated with appropriate weight, the "B" was characterized by high scores in cognitive restraint dimension, and the cluster "C" focused individuals who had higher scores on the uncontrolled eating and emotional eating dimensions. CONCLUSIONS: The Brazilian version of TFEQ-R21 has adequate psychometric properties, and the identified response profiles offer a promising prospect for its use in clinical practice, in weight loss interventions.

Brazilian version of food cravings questionnaires: Psychometric properties and sex differences.

The Food Cravings Questionnaires, State (FCQ-State) and Trait (FCQ-Trait), are commonly used to assess food-craving behavior. This study aimed to develop and validate the Brazilian version of these questionnaires, and to explore potential gender differences in the trait version scores. Data were collected from (n = 611) undergraduate students. Confirmatory factor analysis was conducted to examine the questionnaires structure, and construct validity was assessed. The FCQ-State-Br and FCQ-Trait-Br presented good psychometric properties, adequate model fit, and internal consistency, in general and by gender. A conservation of original structure of the Food Cravings Questionnaires was verified in the Brazilian versions. A good performance in the evaluations concerning the discriminant and convergent validity seem to corroborate these structures. Overweight individuals showed an increase in food-craving behavior. In females, this increase occurred in the guilt dimension, whereas in males, the increase was in the lack of control dimension. In addition, female dieters presented higher scores on the guilt dimension compared with female non-dieters. FCQ-State-Br and FCQ-Trait-Br constitute valid instruments for measuring food-craving behavior in the Brazilian population. Moreover, these findings suggest that food cravings may be an important aspect to be considered in clinical management of overweight individuals, and may require a sex-specific approach.

Glycemic Changes Related to Arsenic Exposure: An Overview of Animal and Human Studies.

BACKGROUND: Arsenic (As) is a risk factor associated with glycemic alterations. However, the mechanisms of action and metabolic aspects associated with changes in glycemic profiles have not yet been completely elucidated. Therefore, in this review, we aimed to investigate the metabolic aspects of As and its mechanism of action associated with glycemic changes. METHODS: We searched the PubMed (MEDLINE) and Google Scholar databases for relevant articles published in English. A combination of free text and medical subject heading keywords and search terms was used to construct search equations. The search yielded 466 articles; however, only 50 were included in the review. RESULTS: We observed that the relationship between As exposure and glycemic alterations in humans may be associated with sex, smoking status, body mass index, age, occupation, and genetic factors. The main mechanisms of action associated with changes induced by exposure to As in the glycemic profile identified in animals are increased oxidative stress, reduced expression of glucose transporter type 4, induction of inflammatory factor expression and dysfunction of pancreatic ß cells. CONCLUSIONS: Therefore, As exposure may be associated with glycemic alterations according to inter-individual differences.

Assessing the impact of arsenic, lead, mercury, and cadmium exposure on glycemic and lipid profile markers: A systematic review and meta-analysis protocol.

The toxicity of metals presents a significant threat to human health due to the metabolic changes they induce. Thus, it is crucial to understand the impact of exposure to toxic elements on glycemic and lipid profiles. To this end, we developed a systematic review protocol registered in PROSPERO (CRD42023393681), following PRISMA-P guidelines. This review aims to assess environmental exposure to arsenic, cadmium, mercury, and lead in individuals aged over ten years and elucidate their association with glycemic markers such as fasting plasma glucose, glycated hemoglobin, as well as lipid parameters including total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein cholesterol. Articles published in the MEDLINE (PubMed), EMBASE, Web of Science, LILACS, and Google Scholar databases until March 2024 will be included without language restrictions. The modified Newcastle-Ottawa scale will be employed to assess the quality of the included studies, and the results will be presented through narrative synthesis. If adequate data are available, a meta-analysis will be conducted. This review can help understand the metabolic responses to exposure to toxic elements and the associated health risks.

A genetic profiling guideline to support diagnosis and clinical management of lymphomas.

The new lymphoma classifications (International Consensus Classification of Mature Lymphoid Neoplasms, and 5th World Health Organization Classification of Lymphoid Neoplasms) include genetics as an integral part of lymphoma diagnosis, allowing better lymphoma subclassification, patient risk stratification, and prediction of treatment response. Lymphomas are characterized by very few recurrent and disease-specific mutations, and most entities have a heterogenous genetic landscape with a long tail of recurrently mutated genes. Most of these occur at low frequencies, reflecting the clinical heterogeneity of lymphomas. Multiple studies have identified genetic markers that improve diagnostics and prognostication, and next-generation sequencing is becoming an essential tool in the clinical laboratory. This review provides a "next-generation sequencing" guide for lymphomas. It discusses the genetic alterations of the most frequent mature lymphoma entities with diagnostic, prognostic, and predictive potential and proposes targeted sequencing panels to detect mutations and copy-number alterations for B- and NK/T-cell lymphomas.

Association between exposure to plasma mixture of essential and toxic elements and the lipid profile in institutionalized older adults.

BACKGROUND: Older adults have a progressive deficiency in the ability to detoxify chemical elements and are susceptible to dyslipidemia and changes in glycemic control. The objective was to evaluate the association of the mixture of essential and toxic elements in the plasma of institutionalized older adults and test the associations with lipid profile variables and glycemic control. METHODS: Data were obtained from 149 Brazilian older adults aged ≥60 living in nursing homes (NH) in Natal, Brazil. The concentrations of sixteen chemical elements in plasma and lipid profile parameters and glycemic control of 149 institutionalized older adults were measured. Bayesian kernel machine regression was used to estimate the associations of the mixture of chemical elements with total cholesterol (TC), high-density lipoprotein (HDL-c), low-density lipoprotein (LDL-c), triglycerides (TG), fasting glucose, and glycated hemoglobin. RESULTS: Non-linear responses to exposure were observed for iron (Fe) about TC, LDL-c, and TG, and for barium (Ba) and copper (Cu) about TG. The concentration of the mixture of chemical elements below the 35th percentile was associated with a decrease in TC. Fe was the main element in the effect of the mixture associated with TC. CONCLUSIONS: The lower concentrations of the mixture of chemical elements in plasma had a protective effect on the increase in TC, with Fe being the main element. Considering the results, the levels of essential and toxic elements in the plasma of older adults require extensive screening, mainly to prevent dyslipidemia and monitor clinical interventions.

Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors.

Objectives: To evaluate the associations between individuals with and without changes in components of metabolic syndrome (MetS) and demographic, nutritional, and lifestyle factors. Methods: A cross-sectional study was conducted with 224 individuals followed-up at a public hospital in Northeast Brazil. We used National Cholesterol Education Program-Adult Treatment Panel III (NCEP) criteria to diagnose MetS. We assessed components of MetS as dependent variables, while sex, age, food consumption, smoking, alcohol intake, physical activity, anthropometric parameters, and sleep hours were independent variables. Results: Comparing individuals with and without changes in components of MetS, the logistic regression models revealed that female sex was predictive of increased waist circumference and low HDL-c levels while advanced age was predictive of increased blood pressure and blood glucose levels. BMI emerged as a predictor for waist circumference and a protective factor for triglyceride levels. In addition, potassium intake, physical activity, and sleep duration were protective against decreased HDL-c, elevated triglyceride, and elevated blood pressure levels, respectively. Conclusion: This study demonstrated that sex, age, BMI, dietary potassium intake, physical activity, and hours of sleep are factors to be targeted in public health actions for prevention and treatment of MetS.

Plasma Levels of Magnesium, Calcium, Calcium to Magnesium Ratio, and Associations with Metabolic Syndrome and Cardiometabolic Risk Factors.

Magnesium and calcium are elements that have been associated with cardiometabolic risk factors related to metabolic syndrome (MetS). However, there are gaps in the knowledge regarding the impact of the calcium to magnesium (Ca/Mg) ratio in plasma. Thus, we aim to evaluate the associations between magnesium and calcium levels in plasma, and the Ca/Mg ratio in plasma with MetS components and other cardiometabolic risk factors. This cross-sectional study was carried out with 112 adults and older people, distributed into groups with (n = 60) and without MetS (n = 52). We evaluated sociodemographic, anthropometric, and biochemical data. Magnesium and calcium levels in plasma were measured by inductively coupled plasma mass spectrometry technique (ICP-MS). There was a high frequency of MetS, with no significant differences in magnesium and calcium levels and Ca/Mg ratio in plasma observed between groups. There were no associations between magnesium and MetS components or other cardiometabolic risk factors (all p > 0.05). Calcium levels were associated with total cholesterol (ß = - 0.020; p = 0.000) and high-density lipoprotein cholesterol (HDL-c) (ß = - 0.046; p = 0.005). The total cholesterol (ß = - 0.025; p = 0.000) and low-density lipoprotein cholesterol (LDL-c) (ß = 0.017; p = 0.020) were preditors of the Ca/Mg ratio. These results indicate important associations of calcium and the Ca/Mg ratio in plasma with cardiometabolic risk factors related to MetS.

Dietary Intake of Micronutrients and Disease Severity in Patients with Amyotrophic Lateral Sclerosis.

Vitamins and essential metals have been studied as potential risk and prognostic factors in amyotrophic lateral sclerosis (ALS). This study aimed to evaluate the prevalence of inadequate micronutrient intake in ALS patients, comparing subgroups according to the disease severity. Data were obtained from the medical records of 69 individuals. Assessment of disease severity was determined by the revised ALS Functional Scale (ALSFRS-R), using the median as the cutoff. The prevalence of inadequate micronutrient intake was estimated using the Estimated Average Requirements (EAR) cut-point method. The prevalence of inadequate vitamin D, E, riboflavin, pyridoxine, folate, cobalamin, calcium, zinc, and magnesium intake was considered severe. Patients with lower ALSFRS-R scores had lower intakes of vitamin E (p < 0.001), niacin (p = 0.033), pantothenic acid (p = 0.037), pyridoxin (p = 0.008), folate (p = 0.009) and selenium (p = 0.001). Therefore, ALS patients should be monitored regarding dietary intake of micronutrients essential in neurological processes.

Vitamin D3 supplementation had no benefits in patients with metabolic syndrome and vitamin D deficiency: A pilot study.

BACKGROUND: Vitamin D deficiency has been observed in individuals with metabolic syndrome (MetS). This study evaluated the effects of vitamin D supplementation in patients with MetS and vitamin D deficiency. METHODS: Vitamin D3 supplementation was performed in patients with MetS and 25(OH)D levels ≤20 ng/mL arranged in two phases. The first phase corresponded to 50,000 IU/week for eight weeks, and the second phase was 7000 IU/week for twelve weeks. RESULTS: The 20-week intervention resulted in an increment of 14.3 ng/mL of 25(OH)D. HbA1c showed a reduction of 0.69% (95% CI [-1.16, -0.21], p = 0.005); however, the triglycerides, HDL-cholesterol, fasting blood glucose, blood pressure, and waist circumference were not responsive to supplementation. CONCLUSION: Vitamin D3 supplementation did not favor the MetS components.

Are Phosphatidylcholine and Lysophosphatidylcholine Body Levels Potentially Reliable Biomarkers in Obesity? A Review of Human Studies.

Phosphatidylcholines (PCs) are the major components of biological membranes in animals and are a class of phospholipids that incorporate choline as a headgroup. Lysophosphatidylcholines (LPCs) are a class of lipid biomolecules derived from the cleavage of PCs, and are the main components of oxidized low-density lipoproteins (oxLDLs) that are involved in the pathogenesis of atherosclerosis. Since obesity is associated with a state of chronic low-grade inflammation, one can anticipate that the lipidomic profile changes in this context and both PCs and LPCs are gaining attention as hypothetically reliable biomarkers of obesity. Thus, a literature search is performed on PubMed, Latin American and Caribbean Health Science Literature (LILACS), and Excerpta Medica DataBASE (Embase) to obtain the findings of population studies to clarify this hypothesis. The search strategy resulted in a total of 2403 reports and 21 studies were included according to the eligibility criteria. Controversial data on the associations of PCs and LPCs with body mass index (BMI) and body fat parameters have been identified. There is an inverse relationship between BMI and most species of PCs, and a majority of studies exhibited negative associations between BMI and LPCs. Other findings regarding the differences between PCs and LPCs in obesity are presented, and the associated uncertainties are discussed in detail.

Food frequency questionnaires developed and validated in Brazil: A scoping review protocol.

A food frequency questionnaire (FFQ) is used to assess habitual food and nutrient intake. The choice of a FFQ should consider the study objectives, instrument particularities, target population, and geographic region. Over the past few years, FFQs have been constructed and validated in Brazil for children, adolescents, adults, athletes, and individuals with specific clinical conditions. The aim of this scoping review is to map the food frequency questionnaires developed and validated in Brazil. The Population-Concept-Context (PCC) framework was used for search strategy and defined as P-not applicable (open), C-food frequency questionnaire, and C-Brazil. FFQ validation studies performed with healthy or sick people will be included, regardless of clinical condition, age, sex, or region in the country. Studies with populations from other countries will be excluded. The review will be conducted in accordance with JBI (formerly known as Joanna Briggs Institute) methodology for scoping reviews. Search databases will include PubMed/MEDLINE, LILACS, Embase, Web of Science (ISI), Scopus, and Google Scholar. Data extraction will be performed by two independent reviewers and discrepancies resolved by a third reviewer. In order to improve the understanding and contextualization of the studies, a description of the results and presentation in tables and figures will be provided. Applications and implications for future research, practices, and policies will be discussed. Our protocol is registered through the Open Science Framework (doi 10.17605/OSF.IO/G5J3K).

Effects of vitamin D supplementation on cardiometabolic parameters among patients with metabolic syndrome: A systematic review and GRADE evidence synthesis of randomized controlled trials.

Various pathophysiologic mechanisms were proposed to underlie the effect of vitamin D on MetS components. In this systematic review, we reviewed randomized control clinical trials to verify whether vitamin D supplementation (VDS) at different doses is effective concomitantly in controlling high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), fasting glucose level, blood pressure, and central obesity in adults diagnosed with MetS. The following scientific databases were searched from 1998 until April 2023: EMBASE, MEDLINE (PubMed), Web of Science, Latin American and Caribbean Health Sciences Literature (Lilacs), the Cochrane Central Register of Controlled Trials, clinicaltrial.gov, and Google Scholar. No language restrictions were applied. Seven studies were included, and they showed a high level of heterogeneity. All studies reported a significant increase in serum 25(OH)D levels in the intervention groups. Of these, only two noted a significant decrease in triglyceride (TG) level and waist circumference. However, the certainty levels of the evidence rating were very low and low for triglyceride (TG) level and waist circumference, respectively, and moderate for fasting glucose level, blood pressure, and HDL-c. In conclusion, despite these benefits, considering the low certainty, the evidence does not support that VDS decreases triglyceride (TG) level and waist circumference in adults with MetS.

Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions.

BACKGROUND: Weight measurement is important in the nutritional anthropometric monitoring of older adults. When this measurement is not possible, estimates may be used. AIM: Developing and validating weight predictive equations for older adult residents in long-term care institutions in Brazil. SUBJECTS AND METHODS: The sample comprised 393 older adult residents in long-term care institutions. Data were collected in two stages, with 315 older adults in the first and 78 in the second. We have measured the arm, calf, and waist circumferences, as well as the triceps and subscapular skinfold and knee height. Multiple linear regression was used to develop the equations, which were evaluated through the coefficient of determination, standard error of estimation, Akaike information criterion, intraclass correlation coefficient (ICC), and Bland-Altmann plot. RESULTS: Five models with different anthropometric measurements were developed, (1) arm circumference as a discriminant variable (ICC: 0.842); (2) best statistical fit for men and women (ICC: 0.874) and its stratification by sex (3) (ICC: 0.876); (4) easy-to-perform measurement for men and women (ICC: 0.842) and its stratification by sex (5) (ICC: 0.828). CONCLUSION: Five models for estimating the weight of older adult residents in long-term care institutions were developed and validated. The choice to use the models should be based on the physical capacity of the older adults to be evaluated.