Adesão aos 10 passos para uma alimentação saudável em gestantes do Sudeste Brasileiro

Introduction: Nutritional guidelines in prenatal care can influence the pregnant woman's eating behavior, reducing the risks for the mother-baby binomial. Objective: To analyze adherence to the 10 steps for healthy eating during pregnancy and its association with maternal and socioeconomic factors in pregnant women in Espírito Santo, Brazil. Methods: Data were obtained through an electronic questionnaire widely publicized on social networks. Socioeconomic, prenatal and eating behavior data were collected from 368 participants. The 10 Steps to Healthy Eating during pregnancy, adapted from the Brazilian Ministry of Health, using the Praise-Guide-Recommend System (EOR) were used as evaluation criteria. Pearson's chi-square test and Fisher's exact test were used to analyze differences between proportions. The binary logistic regression model was used to investigate the association between independent variables and steps towards healthy eating. A significance level of 5% and a confidence interval of 95% were adopted. Results: Most pregnant women reported adherence of 3 to 5 steps (78.5%), fitting into the O-Orientation category. It was observed that receiving nutritional guidance during prenatal care increased adherence in step 4 (OR: 1.99; 95%CI: 1.26-3.15), in step 5 (OR: 2.02; 95%CI: 1 .26-3.24) and step 9 (OR: 1.66; 95%CI: 1.66-2.58). Conclusion: The results suggest the need to strengthen prenatal actions, mainly related to guidelines on encouraging healthy and adequate eating habits.Introdução: Orientações nutricionais no pré-natal podem influenciar no comportamento alimentar da gestante e reduzir os riscos para o binômio mãe-bebê. Objetivo: Analisar a adesão aos 10 passos para alimentação saudável na gestação e sua associação com fatores maternos e socioeconômicos em gestantes do Espírito Santo, Brasil. Métodos: Os dados foram obtidos por meio de um questionário eletrônico amplamente divulgado em redes sociais. Foram coletados dados socioeconômicos, do pré-natal e do comportamento alimentar de 368 participantes. Utilizou-se como critério de avaliação os 10 Passos para Alimentação Saudável na gestação, adaptados do Ministério da Saúde do Brasil, com utilização do Sistema Elogiar-Orientar-Recomendar (EOR). O teste Qui-quadrado de Pearson e o exato de Fisher foram usados para analisar as diferenças entre as proporções. O modelo de regressão logística binária foi utilizado para investigar a associação entre as variáveis independentes e os passos para uma alimentação saudável. Adotou-se o nível de significância de 5% e o intervalo de confiança de 95%. Resultados: A maioria das gestantes referiu adesão de 3 a 5 passos (78,5%), enquadrando-se na categoria O-Orientar. Observou-se que receber orientações nutricionais no pré-natal aumentou a adesão no passo 4 (OR: 1,99; IC95%: 1,26-3,15), no passo 5 (OR: 2,02; IC95%: 1,26-3,24) e no passo 9 (OR: 1,66; IC95%: 1,66-2,58). Conclusão: Os resultados sugerem a necessidade de fortalecimento das ações do pré-natal, principalmente relacionadas às orientações quanto ao incentivo aos hábitos alimentares saudáveis e adequados

Ações de alimentação e nutrição para o enfrentamento das Doenças Não Transmissíveis na perspectiva da Atenção Primária à Saúde no Brasil: uma revisão de escopo

Introduction: Noncommunicable Diseases (NCDs) are considered a major public health problem, which makes it essential to develop interventions for promotion, prevention and treatment. Objective: To synthesize and evaluate the evidence on food and nutrition actions for coping with NCDs in adults and the elderly from the perspective of PHC in Brazil. Methods: This is a literature scoping review, guided by JBI guidelines and following the steps of Preferred Reporting Items for Systematic Reviews and Extended Meta-Analyses for Scoping Reviews. The search took place in 5 electronic databases: MEDLINE, Web of Science, EMBASE, Central Cochrane Library and LILACS, and the gray literature, including the official government websites and the SUS Food and Nutrition Network. Results: A total of 1844 articles were identified and only 42 articles met the eligibility criteria of the proposed methodology. It was identified that, among the available scientific evidence, food and nutrition actions in PHC are concentrated in education strategies and guidance on healthy habits for the treatment of NCD based on Public Nutrition Policies and Guidelines, mostly designated by a population composed of adults and a small proportion of elderly people. Conclusion: there is a need for more studies published on food and nutrition actions in PHC, as the available scientific evidence does not correspond to 50% of the Brazilian states, being insufficient to positively impact the country’s nutritional situation. In addition, more research with a preventive approach to NCDs is essential, since PHC is characterized by a set of health-related actions that have as their main focus the promotion and protection of health.Introdução: as Doenças Não Transmissíveis (DNT) são consideradas um grande problema de saúde pública, o que torna fundamental o desenvolvimento de intervenções de promoção, prevenção e tratamento. Objetivo: sintetizar e avaliar as evidências sobre as ações de alimentação e nutrição para o enfrentamento das DNT em adultos e idosos na perspectiva da APS no Brasil. Método: trata-se de uma revisão de escopo da literatura, guiada pelas diretrizes do JBI e seguida as etapas de Itens de Relatórios Preferenciais para Revisões Sistemáticas e Extensão de Meta-Análises para Revisões de Escopo. A busca ocorreu em 5 bases de dados eletrônicas: MEDLINE, Web of Science, EMBASE, Central Cochrane Library e LILACS, e a literatura cinza, contemplando os sítios eletrônicos oficiais do governo e a Rede de Alimentação e Nutrição do SUS. Resultados: foram identificados um total de 1844 artigos e apenas 42 artigos se enquadraram nos critérios de elegibilidade da metodologia proposta. Foi identificado que entre as evidências científicas disponibilizadas, as ações de alimentação e nutrição na APS, encontram-se concentradas em estratégias de educação e orientação de hábitos saudáveis para tratamento de DNT baseados em Políticas e Diretrizes Públicas de Nutrição designadas em sua maioria por uma população composta de adultos e uma parte reduzida de idosos. Conclusão: há necessidade de mais estudos publicados sobre ações de alimentação e nutrição na APS, pois as evidências científicas disponíveis não correspondem a 50% dos estados brasileiros, sendo insuficientes para impactar positivamente a situação nutricional do país. Além disso, mais pesquisas com abordagem preventiva às DNT são essenciais, uma vez que a APS caracteriza-se por um conjunto de ações relacionadas à saúde que têm como foco principal a promoção e proteção da saúde

Cut points of the conicity index and associated factors in Brazilian rural workers

Background: Metabolic syndrome is associated with cardiovascular complications. Therefore, this study aims to establish cut points for the conicity index based on the components of metabolic syndrome and to associate it with characteristic sociodemographic, food consumption, and occupational factors in Brazilian rural workers; (2) Methods: A cross-sectional study carried out with farmers. The receiver operating characteristic curve was calculated and the cut-off points for the conicity index were identified by the area under the curve, sensitivity, and specificity. The variables included in the binary logistic regression analysis were selected by considering p < 0.20 in the bivariate test; (3) Results: The cut points were similar in females according to both criteria, resulting in a single cut-off of 1.269. In males, the cut points showed differences, resulting in 1.272 according to the NCEP-ATP III and 1.252 according to the IDF. We have shown that younger people, those who work more than 40 h a week, and the lowest contribution of culinary ingredients are associated with increased odds of abdominal obesity, while the consumption of the products they sell or produce decreases these chances; (4) Conclusions: The conicity index showed high discriminatory power for the identification of abdominal obesity in rural workers. Therefore, there is a need to improve eating habits and promote healthier eating environments for individuals, respecting traditional food culture, mainly to contain the advance of MS in rural areas.This study was developed with FAPES’ resources—Brazilian public agency for the pro- motion of scientific research.info:eu-repo/semantics/publishedVersio

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Conicity index as an indicator of abdominal obesity in individuals with chronic kidney disease on hemodialysis.

BackgroundThe conicity index is indicated as a tool for assessing the nutritional status of renal individuals undergoing hemodialysis. Thus, this study aimed to estimate the prevalence of abdominal obesity using the conicity index in individuals with chronic kidney disease undergoing hemodialysis to verify its association with sociodemographic, clinical, and lifestyle factors.Materials and methodsThis is a cross-sectional study with 941 individuals undergoing hemodialysis in a metropolitan area in southeastern Brazil. The conicity index was estimated and cutoffs of 1.275 and 1.285 for men and women, respectively, were used. For the analysis of the results, binary logistic regression was performed and the odds ratio (OR) was estimated with their respective confidence intervals (95% CI).ResultsThe conicity index was high in 56.54% of men (95% CI: 34.34-70.16) and 43.46% of women (95% CI: 38.45-55.20). We found that both adult men (OR = 3.71; 95% CI: 2.27-6.07) and adult women (OR = 4.06; 95% CI: 2.41-6.84) were more likely to have abdominal obesity, as well as self-declared mixed-raced (OR: 1.74; 95% CI: 1.01-3.00) and single men (OR: 1.64; 95% CI: 1.00-2.68).ConclusionsThe conicity index is an important anthropometric indicator to estimate abdominal obesity in individuals with chronic kidney disease on hemodialysis

Conicity index as an indicator of abdominal obesity in individuals with chronic kidney disease on hemodialysis

Background The conicity index is indicated as a tool for assessing the nutritional status of renal individuals undergoing hemodialysis. Thus, this study aimed to estimate the prevalence of abdominal obesity using the conicity index in individuals with chronic kidney disease undergoing hemodialysis to verify its association with sociodemographic, clinical, and lifestyle factors. Materials and methods This is a cross-sectional study with 941 individuals undergoing hemodialysis in a metropolitan area in southeastern Brazil. The conicity index was estimated and cutoffs of 1.275 and 1.285 for men and women, respectively, were used. For the analysis of the results, binary logistic regression was performed and the odds ratio (OR) was estimated with their respective confidence intervals (95% CI). Results The conicity index was high in 56.54% of men (95% CI: 34.34–70.16) and 43.46% of women (95% CI: 38.45–55.20). We found that both adult men (OR = 3.71; 95% CI: 2.27–6.07) and adult women (OR = 4.06; 95% CI: 2.41–6.84) were more likely to have abdominal obesity, as well as self-declared mixed-raced (OR: 1.74; 95% CI: 1.01–3.00) and single men (OR: 1.64; 95% CI: 1.00–2.68). Conclusions The conicity index is an important anthropometric indicator to estimate abdominal obesity in individuals with chronic kidney disease on hemodialysis

Comparison of sociodemographic and clinical indicators and lifestyle habits according to the conicity index stratified by sex of individuals on hemodialysis.

Comparison of sociodemographic and clinical indicators and lifestyle habits according to the conicity index stratified by sex of individuals on hemodialysis.</p

Binary logistic regression between associated variables in the bivariate analysis and the outcome.

Binary logistic regression between associated variables in the bivariate analysis and the outcome.</p

Binary logistic regression between associated variables in the bivariate analysis and the outcome.

Binary logistic regression between associated variables in the bivariate analysis and the outcome.</p

Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BackgroundAccurate assessments of current and future fertility—including overall trends and changing population age structures across countries and regions—are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. MethodsTo estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10–54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values—a metric assessing gain in forecasting accuracy—by comparing predicted versus observed ASFRs from the past 15 years (2007–21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FindingsDuring the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63–5·06) to 2·23 (2·09–2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137–147), declining to 129 million (121–138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1—canonically considered replacement-level fertility—in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7–29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59–2·08) in 2050 and 1·59 (1·25–1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6–43·1) in 2050 and 54·3% (47·1–59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions—decreasing, for example, in south Asia from 24·8% (23·7–25·8) in 2021 to 16·7% (14·3–19·1) in 2050 and 7·1% (4·4–10·1) in 2100—but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40–1·92) in 2050 and 1·62 (1·35–1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. InterpretationFertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FundingBill & Melinda Gates Foundation