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.

Adequacy of the "pocket formulas" for measuring total energy expenditure in healthy women compared with the new DRI equation: A doubly labeled water study.

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.

Use of the activPAL® triaxial accelerometer to estimate total energy expenditure in low-income women: differences between body mass index classifications.

Objective: This study aimed to assess the agreement between the total energy expenditure (TEE) estimated by the activPAL® triaxial accelerometers (ACC) and the TEE measured by the doubly labeled water method (DLW), as well as to assess if these values differ between the classifications of body mass index (BMI). Materials and methods: This is a cross-sectional study. Low-income adult women (19-45y) with BMI ≥ 18.5 kg/m2 were included. Accelerometry data (activPAL® ) were collected over 7 consecutive days, which were used to calculate TEE-ACC and compared with DLW data. The Bland-Altman method, concordance correlation coefficient and root mean square error were used to assess agreement between methods. Results: The sample consisted of 55 women with a mean age of 31 ± 5 years. The agreement between TEE-ACC and TEE-DLW showed a bias of -142.5 kcal (-7.1%). Among the BMI classifications, participants with normal weight show a bias of -417.1 kcal (-21.0%), participants with overweight, -87.5 kcal (-3.9%) and participants with obesity, 97.5 kcal (4.3%). Furthermore, the bias between the methods showed a significant and positive correlation with the body weight (r = 0.49; p < 0.01). Conclusion: The TEE-ACC estimates from activPAL® were reasonably accurate when compared to the TEE-DLW, especially in women with overweight and obesity, being much less accurate in individuals with normal weight.

[Assessment of food insecurity in the context of COVID-19: association with emergency aid and collecting food donations among the socially vulnerable population of a capital in Northeastern Brazil]. / Avaliação da insegurança alimentar no contexto da COVID-19: associação com o auxílio emergencial e recebimento de doação de alimentos na população em vulnerabilidade social de uma capital do Nordeste do Brasil.

The scope of this study was to investigate the prevalence of food insecurity in the context of COVID-19 and its association with the emergency aid income-transfer program and the collecting of food donations by the population in a situation of social vulnerability. A cross-sectional study was carried out with socially vulnerable families eight months after confirming the first case of COVID-19 in Brazil. A total of 903 families, living in 22 underprivileged communities of Maceió, in the state of Alagoas, were included. Sociodemographic characteristics were evaluated, and the Brazilian Food Insecurity Scale was applied. The association of food insecurity with the variables studied was performed using Poisson regression with robust variance estimation, considering α = 5%. Of the total sample, 71.1% were food insecure, a situation associated with receiving food donations (PR = 1.14; 95%CI: 1.02; 1.27) and being a beneficiary of emergency aid (PR =1.23; 95%CI: 1.01; 1.49). The results show that the population in a situation of social vulnerability was strongly affected by food insecurity. On the other hand, the population group in question benefited from actions implemented at the outset of the pandemic.

O estudo objetivou investigar a prevalência de insegurança alimentar no contexto da COVID-19 e sua associação com o programa de transferência de renda Auxílio Emergencial e o recebimento de doação de alimentos na população em vulnerabilidade social. Estudo transversal, realizado com famílias em vulnerabilidade social, oito meses após a confirmação do primeiro caso de COVID-19 no Brasil. Foram incluídas 903 famílias, residentes em 22 aglomerados subnormais de Maceió, em Alagoas. Avaliaram-se características sociodemográficas e foi aplicada a Escala Brasileira de Insegurança Alimentar. A associação da insegurança alimentar com as variáveis estudadas foi realizada por meio de regressão de Poisson com estimativa robusta das variâncias, considerando α = 5%. Do total da amostra, 71,1% estavma em insegurança alimentar, situação que se associou com o recebimento de doação de alimentos (RP = 1,14, IC95%: 1,02; 1,27) e ser beneficiário do Auxílio Emergencial (RP = 1,23, IC95%: 1,01; 1,49). Os resultados mostram que a população em vulnerabilidade social foi fortemente afetada pela insegurança alimentar. Em contrapartida, essa população foi beneficiada por ações que foram implementadas no início da pandemia.

Avaliação da insegurança alimentar no contexto da COVID-19: associação com o auxílio emergencial e recebimento de doação de alimentos na população em vulnerabilidade social de uma capital do Nordeste do Brasil / Assessment of food insecurity in the context of COVID-19: association with emergency aid and collecting food donations among the socially vulnerable population of a capital in Northeastern Brazil

Resumo O estudo objetivou investigar a prevalência de insegurança alimentar no contexto da COVID-19 e sua associação com o programa de transferência de renda Auxílio Emergencial e o recebimento de doação de alimentos na população em vulnerabilidade social. Estudo transversal, realizado com famílias em vulnerabilidade social, oito meses após a confirmação do primeiro caso de COVID-19 no Brasil. Foram incluídas 903 famílias, residentes em 22 aglomerados subnormais de Maceió, em Alagoas. Avaliaram-se características sociodemográficas e foi aplicada a Escala Brasileira de Insegurança Alimentar. A associação da insegurança alimentar com as variáveis estudadas foi realizada por meio de regressão de Poisson com estimativa robusta das variâncias, considerando α = 5%. Do total da amostra, 71,1% estavma em insegurança alimentar, situação que se associou com o recebimento de doação de alimentos (RP = 1,14, IC95%: 1,02; 1,27) e ser beneficiário do Auxílio Emergencial (RP = 1,23, IC95%: 1,01; 1,49). Os resultados mostram que a população em vulnerabilidade social foi fortemente afetada pela insegurança alimentar. Em contrapartida, essa população foi beneficiada por ações que foram implementadas no início da pandemia.

Abstract The scope of this study was to investigate the prevalence of food insecurity in the context of COVID-19 and its association with the emergency aid income-transfer program and the collecting of food donations by the population in a situation of social vulnerability. A cross-sectional study was carried out with socially vulnerable families eight months after confirming the first case of COVID-19 in Brazil. A total of 903 families, living in 22 underprivileged communities of Maceió, in the state of Alagoas, were included. Sociodemographic characteristics were evaluated, and the Brazilian Food Insecurity Scale was applied. The association of food insecurity with the variables studied was performed using Poisson regression with robust variance estimation, considering α = 5%. Of the total sample, 71.1% were food insecure, a situation associated with receiving food donations (PR = 1.14; 95%CI: 1.02; 1.27) and being a beneficiary of emergency aid (PR =1.23; 95%CI: 1.01; 1.49). The results show that the population in a situation of social vulnerability was strongly affected by food insecurity. On the other hand, the population group in question benefited from actions implemented at the outset of the pandemic.

Social and Racial Disparities in Food Consumption Among Brazilian College Students: a Nationwide Study.

This study aims to assess the association between economic class, race/skin color, and food consumption among Brazilian college students. A cross-sectional web-based survey was conducted with college students from all over Brazil. Demographic data, economic class, self-reported race/skin color, anthropometry, and food consumption markers from the Brazilian Food and Nutrition Surveillance System were collected. The final sample comprised 5843 participants with a mean age of 24.1 (SD: 6.3) years, 4292 (73.5%) were female, and 810 (13.9%) in the highest economic stratum. We observed a progressive decrease in the frequency of fresh fruits and vegetables consumption from higher to lower economic classes (p < 0.01 for both). Contrarily, there was a progressive increase in the frequency of consumption of beans from higher to lower economic classes (p < 0.01). The frequency consumption of vegetables was also associated with race/skin color (p < 0.01), being lower in brown (PR: 0.94; CI 95%: 0.90; 0.98), and black (PR: 0.91; 95% CI: 0.85; 0.98) individuals, compared to white individuals. Brown individuals showed higher frequency consumption of beans (PR: 1.10; 95% CI: 1.05; 1.15) than whites. When compared to individuals of white race/skin color, brown (PR: 1.07; 95% CI: 1.01; 1.13) and black (PR: 1.15; 95% CI: 1.07; 1.23) individuals showed higher frequency consumption of sweetened beverages. Economic class and race/skin color were independent factors associated with the food consumption of Brazilian college students.

Use of the activPAL® triaxial accelerometer to estimate total energy expenditure in low-income women: differences between body mass index classifications

ABSTRACT Objective: This study aimed to assess the agreement between the total energy expenditure (TEE) estimated by the activPAL® triaxial accelerometers (ACC) and the TEE measured by the doubly labeled water method (DLW), as well as to assess if these values differ between the classifications of body mass index (BMI). Materials and methods: This is a cross-sectional study. Low-income adult women (19-45y) with BMI ≥ 18.5 kg/m2 were included. Accelerometry data (activPAL®) were collected over 7 consecutive days, which were used to calculate TEE-ACC and compared with DLW data. The Bland-Altman method, concordance correlation coefficient and root mean square error were used to assess agreement between methods. Results: The sample consisted of 55 women with a mean age of 31 ± 5 years. The agreement between TEE-ACC and TEE-DLW showed a bias of -142.5 kcal (-7.1%). Among the BMI classifications, participants with normal weight show a bias of -417.1 kcal (-21.0%), participants with overweight, -87.5 kcal (-3.9%) and participants with obesity, 97.5 kcal (4.3%). Furthermore, the bias between the methods showed a significant and positive correlation with the body weight (r = 0.49; p < 0.01). Conclusion: The TEE-ACC estimates from activPAL® were reasonably accurate when compared to the TEE-DLW, especially in women with overweight and obesity, being much less accurate in individuals with normal weight.

Social network of malnourished children and its association with family's food and nutritional security / Rede social de crianças desnutridas e sua relação com a segurança alimentar e nutricional da família

Abstract Objectives: evaluate the relationship between family's food and nutrition insecurity (FNI) and the social network of malnourished children. Methods: cross-sectional study with 92 children, included in the economic class D-E. For the analysis of the children's social network, the mothers answered four simple questions. To investigate the FNI, the Brazilian Scale of Food Insecurity was used. The association between variables was analyzed by Poisson regression with robust analysis of variances. Results: 56.5% of the children had a weak social network (<10 individuals), and the prevalence of FNI was 72.8%. An inverse association was observed between children of the daily social network and FNI family (OR=0.94; CI95%=0.89-0.99], p=0.03). The number of individuals in the children's daily social network was negatively associated with the likelihood of FNI. The mother's educational level was also related to FNI (OR=2.20 [CI95%=1.11-4.34]; p=0.02), being the child up to 2.2 times more likely to be in FNI when the mother has less than four years of study. Conclusion: these results suggest that social network is associated with the FNI of malnourished children. Interventions designed to strengthen instrumental and other forms of support among small social networks can improve the health/nutrition of malnourished children with FNI.

Resumo Objetivos: avaliar a relação entre a insegurança alimentar e nutricional (IAN) da família e a rede social de crianças desnutridas. Métodos: estudo transversal com 92 crianças, inseridas na classe econômica D-E. Para a análise da rede social das crianças, as mães responderam quatro perguntas simples. Para investigar a IAN foi utilizada a Escala Brasileira de Insegurança Alimentar. A associação entre as variáveis foi analisada por regressão de Poisson com análise robusta das variâncias. Resultados: 56,5% das crianças apresentaram rede social fraca (<10 indivíduos), e a prevalência de IAN foi de 72,8%. Foi observada uma associação inversa entre rede social diária das crianças e IAN da família (RP=0,94, [IC95%=0,89-0,99]; p=0,03). O número de indivíduos na rede social diária das crianças se associou negativamente com a probabilidade de IAN. O nível de escolaridade materno também estava relacionado com a IAN (RP=2,20 [IC95%=1,11-4,34]; p=0,02), tendo a criança até 2,2 vezes mais probabilidade de estar em IAN quando a mãe apresenta menos de quatro anos de estudo. Conclusão: esses resultados sugerem que a rede social está associada à IAN de crianças desnutridas. Intervenções destinadas a fortalecer maneiras instrumentais e outras formas de apoio entre pequenas redes sociais podem melhorar a saúde/nutrição de crianças desnutridas com IAN.

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.

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.

Association between COVID-19 diagnosis and economic class, race/skin color and social distancing in Brazilian university students / Associação entre o diagnóstico de COVID-19 e a classe econômica, raça/cor da pele e distanciamento social em universitários brasileiros

ABSTRACT: Purpose: To determine the association between diagnosis of COVID-19 and the economic class, race/skin color, and adherence to social distancing in Brazilian university students. Methods: This is a nationwide cross-sectional study carried out with online questionnaires applied to Brazilian university students, at 94 universities in the public and private education network. Self-reported age, sex, economic class data, race/skin color, COVID-19 diagnosis, and adherence to social distancing measures were collected. Results: 5,984 individuals were evaluated. No significant association was found between the diagnosis of COVID-19 and economic class and race/skin color in the multivariable analysis. However, we observed that there were significant associations between the diagnosis of COVID-19 and partial adherence to social distancing, with leaving home only for going to work (PR: 1.35; 95% CI: 1.10­1.66; p < 0.01) and with non-adherence to social distancing (PR: 1.96; 95% CI: 1.29­2.97; p <0.01). Conclusion: The diagnosis of COVID-19 was associated with age, non-adherence and partial adherence to social distancing measures in Brazilian university students, but was not associated with race/skin color and economic class.

Objetivo: Verificar a associação entre o diagnóstico de COVID-19 e a classe econômica, raça/cor da pele e adesão às medidas ao distanciamento social em universitários brasileiros. Métodos: Estudo transversal, de abrangência nacional, realizado com universitários brasileiros. Foram coletados dados autorreferidos de idade, sexo, classe econômica, raça/cor, diagnóstico do COVID-19 e adesão às medidas de distanciamento social. Resultados: 5.984 indivíduos foram avaliados. Não foi encontrada associação significativa entre o diagnóstico de COVID-19, a classe econômica e raça/cor na análise multivariável. Observamos que houve associações significativas entre o diagnóstico de COVID-19 e adesão parcial ao distanciamento social (RP: 1,35; IC 95%: 1.10­1.66; p < 0,01) e com a não adesão ao distanciamento social (RP: 1,96; IC95%: 1.29­2.97; p < 0,01). Conclusão: O diagnóstico de COVID-19 foi associado à idade, não adesão e adesão parcial às medidas de distanciamento social em universitários brasileiros, mas não se associou à raça/cor e classe econômica. (AU)

Food insecurity and weight status of socially vulnerable child beneficiaries of a food assistance programme in Maceió, Northeast Brazil.

OBJECTIVE: To evaluate the association between weight status and food insecurity of children living in social vulnerability who are beneficiaries of a food assistance programme (FAP). DESIGN: Cross-sectional study. SETTING: From all children benefiting from the FAP in the municipality, 30 % were mapped in forty-seven distribution points. Their weight status was evaluated using BMI-for-age and food insecurity was determined with the Brazilian Food Insecurity Scale. Socio-economic data of the participants were collected using regular questionnaires. The main outcome measure was obesity. PARTICIPANTS: To be a beneficiary of the FAP, a family must have a child aged 24-96 months and receive less than half a minimum wage per capita. Participating families receive 1 litre of whole milk per day. RESULTS: In all, 1487 children had BMI-for-age and food insecurity data. Of these children, 376 (25·3 %) had excess weight, of whom 164 (11·0 %) presented with obesity, and only twenty-seven (1·8 %) were underweight; 76 % of the families had some degree of food insecurity. Multivariable analysis revealed no overall association between household food insecurity and weight status. In the specific comparison, children living in severe food insecurity were less likely to present obesity than those children living in food security (prevalence ratio = 0·60; 95 % CI 0·38, 0·96; P = 0·03). CONCLUSIONS: In a socially vulnerable population that participates in a FAP, there was no overall association between food insecurity and weight status in children, a result which is similar to what is observed in more developed contexts.

Analysis of neonatal mortality risk factors in Brazil: a systematic review and meta-analysis of observational studies / Análise dos fatores de risco na mortalidade neonatal no Brasil: uma revisão sistemática e metanálise de estudos observacionais

Abstract Objective: To identify, using a systematic review and meta-analysis of observational studies, which risk factors are significantly associated with neonatal mortality in Brazil, and to build a comprehensive national analysis on neonatal mortality. Sources: This review included observational studies on neonatal mortality, performed between 2000 and 2018 in Brazilian cities. The MEDLINE, Elsevier, Cochrane, LILACS, SciELO, and OpenGrey databases were used. For the qualitative analysis, the Newcastle-Ottawa Scale was used. For the quantitative analysis, the natural logarithms of the risk measures and their confidence intervals were used, as well as the DerSimonian and Laird method as a random effects model, and the Mantel-Haenszel model for heterogeneity estimation. A confidence level of 95% was considered. Summary of findings: The qualitative analysis resulted in six studies of low and four studies of intermediate-low bias risk. The following exposure factors were significant: absence of partner, maternal age ≥35 years, male gender, multiple gestation, inadequate and absent prenatal care, presence of complications during pregnancy, congenital malformation in the assessed pregnancy, Apgar < 7 at the fifth minute, low and very low birth weight, gestational age ≤ 37 weeks, and caesarean delivery. Conclusion: The most significant risk factors presented in this study are modifiable, allowing aiming at a real reduction in neonatal deaths, which remain high in the country.

Resumo: Objetivo: Identificar, através de uma revisão sistemática e da metanálise de estudos observacionais, quais fatores de risco associam-se significativamente com a mortalidade neonatal no Brasil e construir uma análise nacional abrangente sobre a mortalidade neonatal. Fontes: Foram avaliados os estudos observacionais sobre mortalidade neonatal realizados entre 2000 e 2018 em cidades brasileiras. Usaram-se as bases MEDLINE, Elsevier, Cochrane, LILACS, SciELO e OpenGrey. Para a análise qualitativa, foi usada a Escala Newcastle-Ottawa. Para a análise quantitativa, foram utilizados os logaritmos naturais das medidas de risco e de seus intervalos de confiança, o método de DerSimonian e Laird como modelo de efeitos aleatórios e o modelo de Mantel-Haenszel para estimativa da heterogeneidade. Considerou-se nível de confiança de 95%. Resumo dos achados: A análise qualitativa resultou em seis estudos de baixo e quatro estudos de intermediário-baixo risco de viés. Foram significativos os seguintes fatores de exposição: ausência de companheiro, idade materna ≥ 35 anos, sexo masculino, gestação múltipla, pré-natal inadequado e ausente, presença de intercorrências durante a gestação, de malformação congênita na gestação em estudo, Apgar < 7 no quinto minuto, baixo e muito baixo peso ao nascer, idade gestacional ≤ 37 semanas e parto cesariano. Conclusão: Os fatores de risco mais significativos apresentados neste estudo são modificáveis, o que possibilita almejar uma redução real das mortes neonatais, que ainda permanecem elevadas no país.

Analysis of neonatal mortality risk factors in Brazil: a systematic review and meta-analysis of observational studies.

OBJECTIVE: To identify, using a systematic review and meta-analysis of observational studies, which risk factors are significantly associated with neonatal mortality in Brazil, and to build a comprehensive national analysis on neonatal mortality. SOURCES: This review included observational studies on neonatal mortality, performed between 2000 and 2018 in Brazilian cities. The MEDLINE, Elsevier, Cochrane, LILACS, SciELO, and OpenGrey databases were used. For the qualitative analysis, the Newcastle-Ottawa Scale was used. For the quantitative analysis, the natural logarithms of the risk measures and their confidence intervals were used, as well as the DerSimonian and Laird method as a random effects model, and the Mantel-Haenszel model for heterogeneity estimation. A confidence level of 95% was considered. SUMMARY OF FINDINGS: The qualitative analysis resulted in six studies of low and four studies of intermediate-low bias risk. The following exposure factors were significant: absence of partner, maternal age ≥35 years, male gender, multiple gestation, inadequate and absent prenatal care, presence of complications during pregnancy, congenital malformation in the assessed pregnancy, Apgar<7 at the fifth minute, low and very low birth weight, gestational age≤37 weeks, and caesarean delivery. CONCLUSION: The most significant risk factors presented in this study are modifiable, allowing aiming at a real reduction in neonatal deaths, which remain high in the country.

Energy Intake in Socially Vulnerable Women Living in Brazil: Assessment of the Accuracy of Two Methods of Dietary Intake Recording Using Doubly Labeled Water.

BACKGROUND: Diet is related to the prevention of chronic diseases, but assessing dietary intake is a complex task, especially in socially vulnerable populations. OBJECTIVES: To assess the accuracy of the 24-hour food recall (24HFR) and the food frequency questionnaire (FFQ) methods in socially vulnerable women in Brazil and compare these methods against doubly labeled water (DLW). DESIGN: Cross-sectional study. Energy intake (EI) was measured using 3 24HFRs and 1 FFQ. Total energy expenditure (TEE) was measured using DLW. Cutoff points were calculated to assess underreporting and overreporting using both the difference and the ratio between the EI and TEE. PARTICIPANTS/SETTING: Sixty-seven socially vulnerable, nondieting adult women with stable body weight and mothers of malnourished children. MAIN OUTCOME MEASURES: EI, in kilocalories, derived from 24HFR and FFQ. STATISTICAL ANALYSES: Repeated measures analysis of variance was used to compare EI and TEE and Bland-Altman graphs were plotted to assess the agreement between these variables. Spearman correlation coefficient between the ratio of EI to TEE and socioeconomic or anthropometric variables was calculated. RESULTS: Mean TEE was 2,186 kcal (95% CI 2,063 to 2,309 kcal). EI obtained through 24HFR (mean=1,848.6 kcal [95% CI 1,737.5 to 1,959.7 kcal]) was significantly lower than TEE (P=0.01), and significantly lower than the EI obtained through FFQ (mean=2,084.5 [95% CI 1,929.0 to 2,240.0 kcal]; P<0.01). There were no statistically significant differences between the EI values of FFQ and TEE (P=0.89). The distribution of underreporters, nonunderreporters, and overreporters were more homogenous in the FFQ method. There was a positive correlation between body fat percentage and underreporting in the FFQ method (r=0.245; P=0.046). CONCLUSIONS: The methods of assessing dietary intake in our study showed poor agreement with TEE obtained by DLW. These may, therefore, not be the most suitable methods for assessing EI in this population.

Association between Adult Stature and Energy Expenditure in Low-Income Women from Northeastern Brazil.

BACKGROUND: Perinatal undernutrition may lead to important metabolic adaptations in adult life, short stature being the most visible. The present study aimed to evaluate the association between stature and total energy expenditure of low-income women. METHOD: Women aged 19-45 years from low-income communities in Maceió-AL were recruited. A sample of 67 volunteers was selected and divided into either short stature (≤ 152.4 cm; n = 34) or non-short stature (≥ 158.7 cm; n = 33) group. Data on socioeconomic status, anthropometric variables, and hormonal profiles was collected. Total energy expenditure and body composition were assessed by the doubly labeled water technique with multiple points over 14 days. In addition, physical activity levels were measured with triaxial accelerometers and dietary intake data were collected using three 24-hour food records. RESULTS: The mean subject age was 30.94 years. Women of short stature had lower body weight and lean body mass compared to non-short women, but there were no differences in thyroid hormone concentrations or daily energy intake between the two groups. Short-stature women showed lower total energy expenditure (P = 0.01) and a significantly higher physical activity level (P = 0.01) compared to non-short women. However, the difference in total energy expenditure was no longer significant after statistical adjustment for age, lean body mass, and triiodothyronine concentrations. CONCLUSION: Women with short stature present the same energy intake, but lower total energy expenditure than non-short women, even with a higher physical activity level, which suggests that they are more prone to weight gain.