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Context: The thermic effect of food (TEF) may be a therapeutic target for the prevention and treatment of obesity., Objective: The impact of different biological and nutritional characteristics on TEF in humans was analyzed., Data Sources: The MEDLINE/PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Latin American and Caribbean Health Sciences Literature databases were searched until November 2023 without language restrictions., Data Extraction: Clinical trials were included that offered an oral test meal to adult and elderly individuals in a fasting state and measured TEF using calorimetry. The average TEF of each group was the outcome, and the impact of the individuals' and meal characteristics on the TEF was assessed using subgroups, meta-regression, and compositional analysis., Data Analysis: The review included 133 studies, with 321 different groups. The mean TEF at 60 minutes after the test meal was 262 (95% CI, 236-288) kcal/d and decreased over time until 240 minutes after the test meal (P < .01). Male participants, individuals with normal body mass index, meals with energy content offered according to individual requirements, and meals with a mixed degree of food processing yielded a higher TEF. The total energy content of meals was the variable most strongly associated with TEF. Compositional analysis showed that the amount of lipids in meals was the only macronutrient consistently and negatively associated with TEF., Conclusions: The TEF is influenced by specific individuals' and meal characteristics. Total energy content and the amount of lipids were the characteristics of the meals most consistently associated with TEF. However, due to important methodological differences between studies, it is difficult to determine how to use TEF as a potential therapeutic target against obesity., Systematic Review Registration: PROSPERO registration no. CRD42023432504., (© The Author(s) 2024. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: The association between ultra-processed foods (UPF) consumption and cognitive performance needs to be better characterized in adolescents, especially in low-income settings, where the cost of human capital is high. This study investigated the association between cognitive performance and UPF in adolescents from the countryside of the Brazilian Northeast., Methods: Adolescents (15-18 years old) from three public high schools were included. Food intake was assessed using three 24-hour dietary recalls. The classification of foods as UPF was determined according to the Nova classification. Cognitive performance was evaluated using the Non-Verbal General Intelligence Test., Results: 116 adolescents were included, of which 50 (43.1%) showed low cognitive performance. The average energy intake was 1973.5 kcal, with 24.2% coming from UPF. Participants with low cognitive performance consumed 26.5% (95% CI: [22.2; 30.7]%) of daily energy intake from UPF compared to 22.5% ([18.8; 26.2]%) of those with medium-high cognitive performance ( P = 0.17), without differences in energy and macronutrient intake., Conclusion: Despite similar UPF consumption compared to the Brazilian average, no association was found between UPF consumption and cognitive performance in this low-income adolescent sample., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 dos Santos, de Melo, Costa, de Almeida, Silva, Ferro, Paula, Macena and Bueno.)

Purpose: Patients after metabolic bariatric surgery (MBS) require attention to maintain energy balance and avoid weight regain. Predictive equations for resting energy expenditure (REE) and total energy expenditure (TEE) are needed since gold standard methods like calorimetry and doubly labeled water are rarely available in routine clinical practice. This study aimed to determine which predictive equation for REE and TEE has the lowest bias in subjects after MBS., Methods: MEDLINE, Embase, Web of Science, and CENTRAL searches were performed. Meta-analyses were performed with the data calculated by the predictive equations and measured by the gold standard methods for those equations that had at least two studies with these data. The DerSimonian and Laird random-effects model and the I 2 statistic were used to quantify heterogeneity in the quantitative analyses. The risk of bias was assessed using the Joanna Briggs Institute critical appraisal checklist., Results: Seven studies were included. The present study found that the Mifflin St. Jeor (1990) equation had the lowest bias (mean difference =  - 39.71 kcal [95%CI =  - 128.97; 49.55]) for calculating REE in post-BS individuals. The Harris-Benedict (1919) equation also yielded satisfactory results (mean difference =  - 54.60 kcal [95%CI =  - 87.92; - 21.28])., Conclusion: The predictive equation of Mifflin St. Jeor (1990) was the one that showed the lowest bias for calculating the REE of patients following MBS., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objectives: "Pocket formulas" are practical alternatives for calculating an individual's total energy expenditure (TEE). Typically, more sophisticated predictive equations are used, such as the new equations proposed in the Dietary Reference Intakes (DRI). Nevertheless, these new equations necessitate estimating physical activity levels (PALs). The aim of this study was to compare the use of pocket formulas (kcal/kg of body weight) with the new predictive equations for energy expenditure proposed by the DRI (2023) in healthy women and with the doubly labeled water (DLW) method to predict TEE., Methods: The TEEs of healthy adult women were measured by DLW and calculated using the pocket formulas (× 20, × 25, × 30, and × 35 kcal/kg of body weight) and the new DRI equation. PALs by triaxial accelerometers were also collected., Results: The study included 55 women. For the entire sample, the × 30 pocket formula had the lowest bias (-6%; limits of agreement [LOAs]: -39.8; 27.5; root mean square error: 373.4) and the highest precision (42%). The pocket formulas showed reasonable agreement in the different body mass index categories compared with the results found by the 2023 DRI proposal. For individuals with normal weight, the agreement was × 35 kcal/kg: bias (%) = -4.8; LoA = -41.5; 31.8, with overweight, it was × 30 kcal/kg: bias (%) = -2.2; LoA = -25.1; 20.6, and with obesity, it was × 30 kcal/kg: bias (%) = 4.2; LoA = -21.1; 29.4., Conclusion: Pocket formulas provide a reasonable agreement with TEE in healthy, sedentary, or low-active adult women, which may be a more simplistic strategy when there is no PAL data for calculating the DRI equations., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Candidates for metabolic/bariatric surgery show a high prevalence of food addiction (FA). However, few studies have investigated FA prevalence after bariatric surgery, especially using longitudinal studies. This systematic review with a meta-analysis aimed to determine pre- and postoperative prevalence of FA among patients undergoing metabolic/bariatric surgery. It included both cross-sectional and longitudinal studies that used the Yale Food Addiction Scale (YFAS). The following databases were searched: MEDLINE, ScienceDirect, LILACS, PsycArticles, CENTRAL, greylit.org, and opengrey.eu. Studies that used the YFAS to evaluate FA in pre- or postoperative patients were included. A random-effects meta-analysis was performed with cross-sectional studies to calculate the weighted prevalence of FA at the pre- and postoperative moments. For longitudinal studies, which measured FA at both time points for the same individuals, absolute prevalence reduction (APR) was calculated. Of the 6626 records, 40 studies were included in the meta-analysis. The preoperative weighted prevalence of FA was 32% (95% CI: 27-37%; 33 groups), whereas the postoperative prevalence was 15% (95% CI: 12-18%; 14 groups). Seven longitudinal studies showed a weighted APR of 26 p.p. (95% CI: 10-41 p.p.). Observational data suggest a reduction in the prevalence of FA among patients that undergo bariatric surgery. Interventional studies are needed to confirm these findings., (© 2022 World Obesity Federation.)

Few studies have investigated which types of food are least reported among underreporters of energy intake (EI). This study assessed the association between the underreporting of EI and the consumption report of food groups according to NOVA classification in women in social vulnerability. EI was measured through three 24-h dietary recalls administered by the research team. Total energy expenditure (TEE) was evaluated using the doubly labelled water method. The percentage of EI arising from each NOVA group food classification (unprocessed/minimally processed foods, culinary ingredients, processed foods and ultra-processed foods [UPF]) was calculated. The agreement between the EI and the TEE was assessed using the ratio EI:TEE. Associations were assessed with Pearson's correlation and multivariable linear regression, adjusted for age, education and body fat. The sample (63 women, age: 30.8 years, Body Mass Index: 27.6 kg/m 2 ) reported an EI of 1849 kcal and a TEE of 2223 kcal, with a mean EI:TEE of 0.85. There were no significant correlations between the EI:TEE and the reported food intake according to NOVA classifications. Multivariable linear regression also did not show any significant associations (UPF: 8.47, 95% CI: [-3.65; 20.60] %kcal; Processed: -6.85, [-19.21; 7.71] %kcal; Culinary ingredients: 1.30 [-5.10; 7.71] %kcal; Unprocessed/minimally processed: -2.92 [-10.98; 5.13] %kcal). In conclusion, socially vulnerable women that underreport their EI do not report a lower intake of any specific group of foods according to NOVA classification., (© 2022 British Nutrition Foundation.)

Context: Polyphenols have antioxidant, anti-inflammatory, and anti-glycation properties., Objective: To assess the effects of dietary polyphenols, from food sources or supplements, on the anthropometric, glycemic, renal, inflammatory, and oxidative stress markers in adults with diabetic nephropathy (DN)., Data Sources: Systematic searches for randomized clinical trials were performed in MEDLINE, Embase, CENTRAL, Web of Science, LILACS, SciELO, opengrey.eu, and ClinicalTrials.gov databases until December 2021., Data Extraction: Studies with adults with DN were included. Random-effects meta-analyses were conducted. Risk of bias of the studies and Grading of Recommendations, Assessment, Development, and Evaluation assessment were carried out., Data Analysis: The searches resulted in 5614 unique occurrences, and 34 full-text articles were retrieved. Of these, 17 studies were included in the qualitative synthesis. Most of the studies used soy protein or milk (n = 5; 0.5-1 g/kg of body weight/d of soy protein, or introduction of 240 mL/d of soy milk) or turmeric/curcumin (n = 5; dose range, 80 to 1500 mg/d) as the intervention. The following outcomes were analyzed: body mass index, glycated hemoglobin (HbA1c), proteinuria, creatinine clearance, glomerular filtration rate (GFR), urinary albumin to creatinine ratio, and levels of fasting blood glucose, insulin, serum urea and creatinine, C-reactive protein, serum tumor necrosis factor-α, and serum malondialdehyde (MDA). The polyphenol intervention significantly decreased HbA1c (n = 7 studies; -0.27% [95%CI, -0.51%, -0.04%]), proteinuria (n = 5 studies; -109.10 [95%CI, -216.57, -1.63] mg/24 h), and MDA (n = 5 studies; z-score: -0.41; 95%CI, -0.71, -0.10), and significantly increased GFR (n = 7 studies; 3.65 [95%CI, 0.15-7.15] mL/min/1.73 m2). Overall, studies showed a high risk of bias, and outcomes showed a low or very-low quality in the Grading of Recommendations, Assessment, Development, and Evaluation assessment., Conclusions: There is a clinically modest effect of dietary polyphenols intervention in HbA1c, proteinuria, GFR, MDA, and C-reactive protein levels in patients with DN. It is impossible to establish clinical recommendations, because the evidence was of' low or very-low quality and because of the heterogeneity of types and dose regimens used in the studies., Systematic Review Registration: PROSPERO registration no. ID245406., (© The Author(s) 2022. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Context: Energy expenditure predictive equations can generate inaccurate estimates for overweight or obese individuals., Objective: The objective of this review was to determine which predictive equations for resting energy expenditure (REE) and total energy expenditure (TEE) have the lowest bias and the highest precision in adults with overweight and obesity., Data Sources: Searches were performed in January 2022 in MEDLINE, Web of Science, Scopus, CENTRAL, and the gray literature databases., Data Extraction: Meta-analyses were performed with equations included in more than 1 study. The DerSimonian and Laird random-effects model and the I2 statistic were used to quantify heterogeneity in the quantitative analyses. The Egger test was performed to assess potential publication biases, and metaregressions were conducted to explore the heterogeneity. Findings were presented separated by participants' body mass index classification (overweight and obesity)., Data Analysis: Sixty-one studies were included. The FAO/WHO/UNU (1985) equation, which uses only body weight in its formula, showed the lowest bias in estimating REE (mean difference [MD] = 8.97 kcal; 95% CI = -26.99; 44.94). In the subgroup analysis for individuals with obesity, the Lazzer (2007) equation showed the lowest bias (MD = 4.70 kcal; 95% CI = -95.45; 104.86). The Harris-Benedict equation (1919) showed the highest precision values for individuals with overweight (60.65%) and for individuals with obesity (62.54%). Equations with body composition data showed the highest biases. The equation proposed by the Institute of Medicine (2005) showed the lowest bias (MD = -2.52 kcal; 95% CI = -125.94; 120.90) in estimating the TEE. Most analyses showed high heterogeneity (I2 > 90%). There was no evidence of publication bias., Conclusion: For individuals with overweight, the FAO/WHO/UNU (1985) and the Harris-Benedict equations (1919) showed the lowest bias and the highest precision in predicting the REE, respectively. For individuals with obesity, the Harris-Benedict equation (1919) showed the highest precision and the Lazzer equation (2007) showed the lowest bias. More studies are needed on predictive equations to estimate the TEE., Systematic Review Registration: PROSPERO registration no. CRD42021262969., (© The Author(s) 2022. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: This study aimed to describe how strong is the relationship between TEE and PAL in women living in an impoverished Brazilian urban area., Methods: Anthropometric, hormonal (insulin, TSH, FT 4 , and FT 3 ), body composition (deuterium), TEE (doubly labeled water) and PAL (metabolic equivalent task [MET]-7-day triaxial accelerometer, ActivPAL®) data were collected from 55 women (mean age: 31y, mean BMI: 27.4 kg/m 2 ). Adjusted-TEE models were calculated incorporating the residuals of anthropometric, hormonal, and body composition variables in the TEE, to assess the relation between MET and adjusted-TEE, through three different analyzes: linear regression, nonlinear regression and change-point regression., Results: Most participants (89.1%, n = 49) were classified as low-active. There was no association between crude TEE and MET.h/d (R 2  = 0.05; p = 0.09). There was a positive, although weak, linear relationship between adjusted-TEE and MET.h/d (β = 2705.26 kcal; 95% CI: 436.25; 4974.27; adj-R 2  = 0.08). A change point of this relationship was identified in the MET.h/d value of 1.53 (SD = 0.02; adj-R 2 = 0.13). The association between adjusted-TEE and MET.h/d before the change point (β = 5101.46 kcal; 95%CI: 978.84; 9224.08; adj-R 2  = 0.11) was stronger than the association in the full linear model, nevertheless, it was still weak. This association stop existing when it is assessed in individuals after the change point (β = -6609.92 kcal; 95%CI: -16773.24; 3553.40; adj-R 2  = 0.08)., Conclusions: These results suggest that the relationship between TEE and PAL is weak and it is not completely linear in women living in an impoverished Brazilian urban area., (© 2022 Wiley Periodicals LLC.)

Objectives: The present study aimed to identify associations between extremes in body weight status (underweight and excess body weight) before a COVID-19 diagnosis and clinical outcomes in patients infected with SARS coronavirus type 2., Methods: A multicenter cohort study was conducted in eight different states in northeastern Brazil. Demographic, clinical (previous diagnosis of comorbidities), and anthropometric (self-reported weight and height) data about individuals who tested positive for COVID-19 were collected. Outcomes included hospitalization, mechanical ventilation, and death. Multivariable logistic regression models, adjusted based on age, sex and previous comorbidities, were used to assess the effects of extremes in body weight status on clinical outcomes., Results: A total of 1308 individuals were assessed (33.6% were elderly individuals). The univariable analyses showed that only hospitalization was more often observed among underweight (3.2% versus 1.2%) and overweight (68.1% versus 63.3%) individuals. In turn, cardiovascular diseases were more often observed in all clinical outcomes (hospitalization: 19.7% versus 4.8%; mechanical ventilation: 19.9% versus 13.5%; death: 21.8% versus 14.1%). Based on the multivariable analysis, body weight status was not associated with risk of hospitalization (underweight: odds ratio [OR]: 1.10; 95% confidence interval [CI] 95%, 0.50-2.41 and excess body weight: OR: 0.81; 95 CI, 0.57-1.14), mechanical ventilation (underweight: OR: 0.92; 95% CI, 0.52-1.62 and excess weight: OR: 0.90; 95% CI, 0.67-1.19), and death (underweight: OR: 0.61; 95% CI, 0.31-1.20 and excess body weight: OR 0.88; 95% CI, 0.63-1.23)., Conclusions: Being underweight and excess body weight were not independently associated with clinical outcomes in patients with COVID-19 in the herein analyzed cohort. This finding indicates that the association between these variables may be confounded by both age and comorbidities., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Reducing sedentary behaviour (SB) and increasing physical activity (PA) by sitting less and standing/walking more is advised to prevent chronic diseases. However, the mechanisms underlying this recommendation are not well established, especially in individuals with obesity living in low-income regions. The present study evaluated whether there are associations between PA indicators (PAI - standing time, walking time and the number of steps/d) and SB indicators (SBI - sitting/lying down time) with the hormonal profile and resting energy expenditure (REE) of adult women living in a low-income region. This is a cross-sectional study. We collected data on hormones (insulin resistance, leptin and thyroid axis), body composition (tetrapolar bioimpedance), REE (indirect calorimetry), and PAI and SBI (triaxial accelerometers, ActivPAL). Multivariable linear models adjusting for age and fat-free mass were performed. Fifty-eight women (mean age of 31 years and BMI of 33 kg/m 2 ) were included. The mean sitting/lying down time and standing time were 16·08 and 5·52 h/d, respectively. Sitting/lying down time showed a direct association with free thyroxine (FT 4 ) ( β = 0·56 ng/dl; 95 % CI = -1·10, -0·02). Standing time showed a direct association with FT 4 ( β = 0·75 ng/dl; 95 % CI = 0·01; 1·48) and inverse association with free triiodothyronine ( β = -2·83 pg/ml 95 % CI = -5·56, -0·10). There were no associations between PAI and SBI with the REE, insulin resistance, leptin and thyroid-stimulating hormone. Thus, decreased SB is associated with thyroid hormones levels but not with REE, insulin resistance or leptin in women with obesity living in low-income regions.

Objective: To determine, through a systematic review with meta-analysis, the prevalence of food addiction (FA) using the Yale Food Addiction Scale (YFAS) and its derivatives exploring possible factors associated with the prevalence of FA in several contexts., Methods: The following databases were searched: MEDLINE, ScienceDirect, LILACS, PsycArticles, CENTRAL, Greylit.org, and OpenGrey.eu. Studies that assessed FA using YFAS were included. Two independent reviewers assessed the eligibility of each report. Random-effects meta-analysis was performed to calculate the weighted prevalence of FA. Subgroup analyses and meta-regression were conducted to explore sources of heterogeneity., Results: Of the 6425 abstracts reviewed, 272 studies were included. The weighted mean prevalence of FA diagnosis was 20% (95% CI: 18%; 21%). The prevalence of FA was higher in individuals with clinical diagnosis of binge eating (55%; 95% CI 34%; 75%). The prevalence in clinical samples was higher compared to non-clinical samples. Two studies included children only and no studies included only elderly people., Conclusions: Food addiction is a topic in which there has been a significant growth in studies. The highest prevalence was found in the group of participants with eating disorders and weight disorders. More studies with children and the elderly are needed., (© 2021 Eating Disorders Association and John Wiley & Sons Ltd.)

Background & Aims: The phase angle (PA) has been used as an indicator of prognosis and nutritional status because it reflects the integrity of the individuals' cellular function. In contrast to the investigations that assessed acute malnutrition (weight deficit) and PA in children, studies that evaluated the relationship of this indicator with stunting (height deficit) are still scarce and inconclusive. Thus, we aim to investigate whether there are differences in PA according to the classifications of the height-for-age (H/A) index of children under five years of age., Methods: This is a cross-sectional study carried out in a nutritional recovery center, in households, and in a daycare center in Maceió-Alagoas, Brazil. Anthropometric data were collected, and resistance and reactance were obtained through the use of tetrapolar electrical bioimpedance, from children aged 2-5 years. The PA and the percentage of body fat were calculated. Children were divided into 3 groups: adequate H/A, at-risk of stunting and stunted. Analysis of covariance for the main outcome was performed using age, sex, and the body mass index-to-age as covariates, and the H/A classification as the exposure., Results: The mean children's PA in the adequate H/A group was 3.9° [95% CI 3.6-4.2], while in the group at-risk of stunting and stunted it was 4.5° [95% CI 4.3-4.7] and 4.6° [95% CI 4.4-4.8], respectively, showing statistical difference (p < 0.01)., Conclusion: In the present sample, stunted children have higher PA values than children with adequate H/A., Competing Interests: Declaration of competing interest None declared., (Copyright © 2021 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)

This ecological study aimed to analyze the trend of the nutritional status of pregnant adolescent beneficiaries of the Brazilian Bolsa Família conditional cash transfer program in the 2008-2018 period. We evaluated secondary data of pregnant adolescent beneficiaries of the Bolsa Família Program from January 2008 to December 2018, extracted from the public reports of the WEB Food and Nutrition Surveillance System. We accessed the monitoring reports on the consolidated public-access health conditionalities of the Bolsa Família Program, always considering the second validity. An annual variation of -1.2% (95%CI: [-1.6; -0.8] p<0.01) was observed in the prevalence of underweight in Brazil in the studied sample. The prevalence of overweight and obesity in the country had annual variations of 2.9% (95%CI: [2.0; 3.7] p<0.01) and 7.5% (95%CI: [5.7; 9.3] p<0.01), respectively. We conclude by saying, that, in the evaluated period, the prevalence of underweight among pregnant adolescent beneficiaries of the Bolsa Família Program showed a decreasing trend, while the prevalence of overweight and obesity increased throughout Brazil.

Background & Aims: Time-restricted feeding (TRF) studies have been summarized in previous systematic reviews, but these were not specific for individuals with excess weight and studies involving early time-restricted feeding (eTRF). This meta-analysis aimed to evaluate the effect of eTRF on the metabolic profile of adults with excess weight., Methods: Data were extracted from MEDLINE, CENTRAL, LILACS, Web of Science, ClinicalTrials.gov, OpenGrey.eu, Greylit, and by manual search. Randomized controlled trials in which the participants were older than 18 years, with a body mass index greater than 25 kg/m 2 and that were allocated in an intervention with eTRF were included. The studies should have assessed any of the following outcomes from the metabolic profile: resting metabolic rate, triacylglycerol, total cholesterol, HDL-cholesterol, and LDL-cholesterol, fasting blood glucose, insulin, HOMA-IR, C-reactive protein, Interleukin-6, cortisol, leptin, Ghrelin, Peptide YY and glucagon-like peptide, hemodynamic parameters, and appetite. The risk of bias was assessed using the Cochrane collaboration tool. Publication bias was examined with a funnel plot and Egger's test. GRADE was used to assess the overall quality of evidence., Results: Ten articles from nine randomized clinical trials, with 264 individuals, were included in qualitative analysis and eight articles with 184 individuals were included in the meta-analysis. There were significant effects on the fasting blood glucose (WMD: -2.75; 95% CI [-4.59; -0.90] mg/dL; p < 0.01; I 2  = 88.7%; 7 studies) and HOMA-IR. (WMD: -0.50; 95% CI [-0.82; -0.19]; p < 0.01; I 2  = 50.8%; 4 studies). The other outcomes were not significant. Three studies showed a high risk of bias. Seven outcomes were classified as very low quality and one as low quality. There was evidence of publication bias for fasting blood glucose., Conclusions: Although the eTRF regimen seems to have a beneficial effect on the fasting blood glucose and HOMA-IR of individuals with excess weight, the results of this meta-analysis should be analyzed with caution due to the low-quality evidence., Competing Interests: Conflict of interest The authors declare no conflicts of interests., (Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Objective: The aim of this study was to evaluate the acute effects of time-restricted feeding in obese women living in social vulnerability who were placed on diets with the same energy deficit., Methods: Fifty-eight obese women (19-44 y of age) were randomized to a group with a hypoenergetic diet and 12 h of fasting daily or to a group with only a hypoenergetic diet for 21 d, with body weight and waist circumference monitoring up to 81 d of intervention. The determination of the individual's energy content of the diets was based on their resting metabolic rate (by indirect calorimetry) and physical activity level (by triaxial accelerometers). Body composition, temperature, blood pressure, appetite, adhesion difficulty, thyroid axis hormones, leptin, glucose concentration, and insulin were measured before and after 21 d of intervention. A mixed analysis of variance test was performed., Results: The women had a mean age of 31 y and mean body mass index of 33 kg/m². Significant interaction between group × time was observed only in axillary temperature (0.44°C; 95% confidence interval [CI], 0.17-0.74°C; P < 0.01), which increased in the experimental group and in body fat (-0.75%; 95% CI, -1.43% to -0.07%; P = 0.02) decreased in the experimental group. Also, there was a significant decrease in waist circumference in the time-restricted feeding group after 81 d. There were no differences in hormonal profile, resting metabolic rate, reported appetite, or adherence difficulty., Conclusion: Time-restricted feeding may be considered an alternative strategy for treating obesity in socially vulnerable women., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objectives Indirect calorimetry is established as a gold standard to determine the resting metabolic rate (RMR), however, its clinical use is limited, especially in low-income settings. Thus, the use of predictive equations appear as an alternative to estimate the RMR, but its precision is debatable, especially in obese individuals and in populations without specifically developed equations. To evaluate the agreement between the RMR estimated by equations and by indirect calorimetry in low-income obese women. Subjects and methods A cross-sectional study with adult and obese women, which estimated the RMR by indirect calorimetry and compared with 13 predictive equations using the concordance correlation coefficient, root mean square error (RMSE) and Bland-Altman methods. The maximum allowed differences were predefined as 10%. Results No equation presented its confidence intervals for the Bland-Altman limits of agreement inside the predefined acceptable range. The Harris-Benedict equation achieved better agreement (bias of 2.9% and RMSE of 274.3kcal) whereas the Henry-Rees equation achieved better precision (42.3% of the sample within the 10% maximum allowed difference). Conclusion None of the studied equations satisfactorily estimated the RMR estimated by indirect calorimetry. In the absence of specific equations for this population, the use of the Harris-Benedict and Henry-Rees equations could be considered.

Low-income women are the group with the highest levels of obesity worldwide. In low-income settings, the use of predictive equations, which yield a measure of the individuals' BMR, is a feasible approach to estimate the individuals' total energy expenditure (TEE), using the factorial method (calculated-TEE = BMR × physical activity level), an important step of the obesity nutritional care. The present study aimed to identify the predictive equation that, in conjunction with metabolic equivalents of tasks (MET) data from accelerometers, yields the calculated-TEE with better agreement compared with the TEE measured by doubly labelled water (TEE-DLW). Forty-five women aged 19-45 years, with excess weight and mothers of undernourished children, were included. They received DLW to determine TEE (14 d); at the same time, they used triaxial accelerometers (7 d) to estimate their MET. The Bland-Altman method, paired-sample t tests, concordance correlation coefficient and root-mean-square error were used to assess the agreement. Maximum allowed differences were defined as 24 %, based on the within-variance coefficient of the energy intake of the sample. Eleven equations were studied. The calculated-TEE obtained by five equations showed non-significant bias: Dietary Reference Intake (Institute of Medicine (2005) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids), FAO/WHO/UNU ((2001) Food and Nutrition Technical Report Series), Harris & Benedict ((1919) Proc Natl Acad Sci USA4, 370-373), Henry & Rees ((1991) Eur J Clin Nutr45, 177-185) and Schofield ((1985) Hum Nutr Clin Nutr39, 5-41). The mean percentage differences were -1·5, -0·8, 2·2, -2·2 and 2·0 %, respectively. Considering all parameters, FAO/WHO/UNU ((2001) Food and Nutrition Technical Report Series) equation performed slightly better than the others; nevertheless, no equation in conjunction with the estimated-MET showed a calculated-TEE with its CI for the Bland-Altman limits of agreement inside the pre-defined acceptable range.