Longitudinal estimates of resting energy expenditure using predictive equations in individuals with excess weight after weight loss: A systematic review with meta-analysis.

BACKGROUND & AIMS: To determine which resting energy expenditure (REE) predictive equation has the lowest bias in the aggregate level in individuals with excess weight during weight loss interventions. METHODS: Searches were performed in MEDLINE, Web of Science, Scopus, CENTRAL and gray literature databases. Longitudinal studies on weight loss interventions which evaluated REE by predictive equations compared to that measured by indirect calorimetry in adults with excess weight at different follow-up times were included. Meta-analyses were performed with the differences between biases of predictive equations of the REE at the different follow-up times of weight loss. RESULTS: Of the total of 2178 occurrences found in the databases, only eight studies were included. The Harris-Benedict (1919) equation showed the smallest differences between bias up to the third month (MD = 103.33 kcal; 95%CI = -39.01; 245.67), in the sixth month (MD = 59.16 kcal; 95%CI = 8.74; 109.57) and at the 12th month (MD = -71.41 kcal; 95%CI = -150.38; 7.55) of weight loss follow-up. Weight loss does not seem to have an effect on bias at different follow-up times. CONCLUSION: Harris-Benedict (1919) equation seems to be the most adequate to assess the REE of individuals with excess weight during weight loss. However, the finding of large estimated predictive intervals may indicate that predictive equations may not be handy tools for individuals losing and regaining weight due to changes other than body weight.

Prevalence of food addiction determined by the Yale Food Addiction Scale in Latin America: A systematic review with meta-analysis.

OBJECTIVE: Food addiction (FA) has been extensively investigated worldwide; however, the prevalence of FA in the Latin American population has yet to be established and past work has largely neglected the specificities of this region, that includes the most significant economic disparities in the world. Thus, the objective of this study was to assess the prevalence of FA measured by the Yale Food Addiction Scale in Latin America. METHOD: The search was performed on MEDLINE, ScienceDirect, LILACS, IBECS, SciELO, PsycArticles, CENTRAL, and the gray literature. FA prevalence data were collected, and random effects meta-analyses were performed to calculate the overall weighted prevalence, the prevalence by country, and by clinical and non-clinical samples. RESULTS: A total of 10,082 occurrences were identified through database searches, and 23 studies were included (Mexico = 9; Brazil = 7; Chile = 4; Argentina = 1; Peru = 1; Uruguay = 1). The prevalence of FA found in clinical samples was 38% (95% CI: 16%-63%; I2  = 98.67%; 8 studies), while in non-clinical samples, it was 15% (95% CI: 10%-21%; I2  = 98.51%; 15 studies). DISCUSSION: The average prevalence of FA in the Latin American countries included here was in accordance with that reported in other regions worldwide. It is noteworthy that the studies were conducted only in six countries, which are among those with the highest income in the region and do not represent the situation in native populations or those with lower purchasing power. This gap in the data also reflects the effects of economic disparities on the availability of empirical data in the region. PUBLIC SIGNIFICANCE: The prevalence of food addiction in Latin America was similar to that reported in other regions. It was higher among individuals with overweight, whether or not undergoing bariatric surgery, than in non-clinical samples. These findings contribute to aggregate information about this condition that has drawn the attention of clinicians and researchers.

OBJETIVO: La adicción a la comida (FA, por sus siglas en inglés) ha sido ampliamente investigada en todo el mundo; sin embargo, la prevalencia de la FA en la población latinoamericana aún no se ha establecido y el trabajo previo ha descuidado en gran medida las especificidades de esta región, que incluye las disparidades económicas más significativas del mundo. Por lo tanto, el objetivo de este estudio fue evaluar la prevalencia de FA medida por la Escala de Adicción a la Comida de Yale en América Latina. MÉTODO: La búsqueda se realizó en MEDLINE, ScienceDirect, LILACS, IBECS, SciELO, PsycArticles, CENTRAL y la literatura gris. Se recopilaron datos de prevalencia de FA y se realizaron metanálisis de efectos aleatorios para calcular la prevalencia ponderada general, la prevalencia por país y por muestras clínicas y no clínicas. RESULTADO: Se identificaron 10 082 casos mediante búsquedas en bases de datos y se incluyeron 23 estudios (México = 9; Brasil = 7; Chile = 4; Argentina = 1; Perú = 1; Uruguay = 1). La prevalencia de FA encontrada en muestras clínicas fue del 38% (IC95%:16%; 63%; I2 = 98,67%; 8 estudios), mientras que en muestras no clínicas, fue del 15% (IC del 95%: 10%; 21%; I2 = 98,51%; 15 estudios). DISCUSIÓN: La prevalencia promedio de FA en los países latinoamericanos incluidos aquí estuvo de acuerdo con la reportada en otras regiones del mundo. Cabe destacar que los estudios se realizaron solamente en seis países, que se encuentran entre los de mayores ingresos de la región y no representan la situación de las poblaciones nativas o de menor poder adquisitivo. Esta brecha en los datos también refleja los efectos de las disparidades económicas en la disponibilidad de datos empíricos en la región.

Estimates of resting energy expenditure and total energy expenditure using predictive equations in adults with overweight and obesity: a systematic review with meta-analysis.

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.

Prevalence of food addiction and its association with anxiety, depression, and adherence to social distancing measures in Brazilian university students during the COVID-19 pandemic: a nationwide study.

The study's objective was to determine the prevalence of food addiction (FA) in Brazilian university students and to verify whether there is an association with anxiety, depression, and adherence to the social distancing measures adopted during the COVID-19 pandemic. This is a nationwide cross-sectional study carried out through the application of online questionnaires. Self-reported data on age, sex, economic class, race/skin color, anthropometric data, depression diagnosis, anxiety, modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), and adherence to social distancing measures were collected. 5368 participants were included, with a mean age was 24.1 ± 6.3 years, the majority were female (n = 3990; 74.3%), and the mean BMI in our sample was 24.5 ± 5.3 kg/m2. The prevalence of FA was 19.1% (95%CI: 18.0; 20.0%). An association was observed between FA with depression (PR: 1.60; 95%CI: 1.43; 1.78; p < 0.01), and anxiety (3.13; 95%CI: 2.74; 3.58; p < 0.01), but not with adherence to social distancing measures (p = 0.70). In conclusion, there was a higher prevalence of FA in Brazilian university students. Besides, university students with anxiety, depression, overweight, or obesity and females are more prone to FA.Level of evidence Level V, Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Racial Differences in Generalized Anxiety Disorder During the COVID-19 Pandemic among Brazilian University Students: a National Survey.

There is evidence that during the COVID-19 pandemic, there was an increase in anxiety and depression rates among college students. However, little is known about how generalized anxiety disorder (GAD) developed among individuals of different race/skin color. This study aimed to determine whether there are racial differences in GAD in Brazilian university students during the COVID-19 pandemic. This is a nationwide cross-sectional study, carried out through the application of online questionnaires to university students from 94 Brazilian universities. Self-reported data on age, sex, economic class, race/skin color, anthropometric data, and adherence to social distancing measures were collected. To determine the GAD, the Generalized Anxiety Disorder 7-item scale was applied. A total of 5879 participants were included, with a mean age of 24.1 ± 6.4 years, and the majority were female (n = 4324, 73.5%), most self-declared to be whites (n = 2945, 50.1%), followed by browns (n = 2185, 37.2%) and blacks (n = 749, 12.7%). The prevalence of GAD among black Brazilian university students (47.3% [95% CI 43.7, 50.8]) was significantly higher than that of browns (38.6% [95% CI 36.6, 40.7]) and whites (44.1% [95% CI 42.3, 45.9]), even after multivariable adjustment by other sociodemographic factors. The findings of the present study suggest a possible racial difference in GAD among Brazilian university students, in which those who declared their race/skin color as black showed a greater risk for GAD than those who declared themselves as white or brown.

Association between sitting/lying down, standing, walking time and number of steps per day with the hormonal profile and resting energy expenditure of women with obesity living in a low-income region.

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/m2) 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 (FT4) (ß = 0·56 ng/dl; 95 % CI = -1·10, -0·02). Standing time showed a direct association with FT4 (ß = 0·75 ng/dl; 95 % CI = 0·01; 1·48) and inverse association with free triiodothyronine (ß = -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.

Effects of time-restricted feeding on body weight, body composition and vital signs in low-income women with obesity: A 12-month randomized clinical trial.

BACKGROUND & AIMS: Time-restricted feeding (TRF) studies usually are of short-term, involving heterogeneous populations, without a control group with similar energy restriction. Besides, it seldom assess vital signs such as body temperature and heart rate, which may be influenced by the fasting state. In this investigation, we assessed the long-term effects of TRF on body weight, body composition and vital signs of low-income women with obesity undergoing diets with the same energy deficit. METHODS: Low-income women with obesity were randomly allocated to a group with a hypoenergetic diet and 12 h of TRF or to a group with only a hypoenergetic diet, for 12 months. Body fat and waist circumference were estimated using a tetrapolar electrical bioimpedance and an inelastic measuring tape, respectively, at baseline and after 4, 6 and 12 months of intervention. Systolic and diastolic blood pressure, heart rate, and axillary temperature were measured at baseline and 12 months of intervention. The energy content of the diets was determined based on the women's resting metabolic rate (by indirect calorimetry) and level of physical activity (by triaxial accelerometers). Effects were analyzed using an intention-to-treat approach. RESULTS: Fifty-eight women were randomized and 31 (53.44%) were lost to follow-up at 12 months. Dropout rates were similar between groups. In the intention-to-treat analysis, there were no significant changes in the body weight after 12 months (Differences in changes from baseline between groups: -0.05 95%CI [-2.34; 2.24] Kg; p = 0.96). An increase in axillary temperature (0.40 °C, 95% CI [-0.14; 0.67]°C, p < 0.01), a reduction in the percentage of body fat (-1.64%, 95% CI [-3.08; -0.19]%, p = 0.02) and waist circumference (-2.57 cm, 95% CI [-5.73; 0.58] cm, p = 0.03 in the mixed model involving 4 measurements) were observed in the intervention group, when compared to the control group. CONCLUSIONS: TRF showed no effects on weight loss. Nevertheless the findings on waist circumference and body fat, although not clinically meaningful, suggest that this strategy may help in the long-term management of obesity in this population, since it is an easy to apply intervention. Axillary temperature findings warrants further investigation. Registered under www.ensaiosclinicos.gov.br Identifier no. RBR-387v6v. TRIAL REGISTRATION: http://www.ensaiosclinicos.gov.br/rg/RBR-387v6v/.

Effect of early time-restricted feeding on the metabolic profile of adults with excess weight: A systematic review with meta-analysis.

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/m2 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; I2 = 88.7%; 7 studies) and HOMA-IR. (WMD: -0.50; 95% CI [-0.82; -0.19]; p < 0.01; I2 = 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.