Trends in Income Inequities in Cardiovascular Health Among US Adults, 1988-2018.

BACKGROUND: Mean cardiovascular health has improved over the past several decades in the United States, but it is unclear whether the benefit is shared equitably. This study examined 30-year trends in cardiovascular health using a suite of income equity metrics to provide a comprehensive picture of cardiovascular income equity. METHODS: The study evaluated data from the 1988-2018 National Health and Nutrition Examination Survey. Survey groupings were stratified by poverty-to-income ratio (PIR) category, and the mean predicted 10-year risk of a major cardiovascular event or death based on the pooled cohort equations (PCE) was calculated (10-year PCE risk). Equity metrics including the relative and absolute concentration indices and the achievement index-metrics that assess both the prevalence and the distribution of a health measure across different socioeconomic categories-were calculated. RESULTS: A total of 26 633 participants aged 40 to 75 years were included (mean age, 53.0-55.5 years; women, 51.9%-53.0%). From 1988-1994 to 2015-2018, the mean 10-year PCE risk improved from 7.8% to 6.4% (P<0.05). The improvement was limited to the 2 highest income categories (10-year PCE risk for PIR 5: 7.7%-5.1%, P<0.05; PIR 3-4.99: 7.6%-6.1%, P<0.05). The 10-year PCE risk for the lowest income category (PIR <1) did not significantly change (8.1%-8.7%). In 1988-1994, the 10-year PCE risk for PIR <1 was 6% higher than PIR 5; by 2015-2018, this relative inequity increased to 70% (P<0.05). When using metrics that account for all income categories, the achievement index improved (8.0%-7.1%, P<0.05); however, the achievement index was consistently higher than the mean 10-year PCE risk, indicating the poor persistently had a greater share of adverse health. CONCLUSIONS: In this serial cross-sectional survey of US adults spanning 30 years, the population's mean 10-year PCE risk improved, but the improvement was not felt equally across the income spectrum.

Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019-2021).

BACKGROUND/OBJECTIVES: Over the past 10 yrs, the prevalence of diabetes in Korea has continued to incline, and the importance of lifestyle modification to manage diabetes has been highlighted. For patients with diabetes, carbohydrate intake reduction is effective in improving glycemic control; thus, we aimed to analyze the effect of carbohydrate intake ratio and suggest an appropriate carbohydrate intake ratio. SUBJECTS/METHODS: Using the 8th Korea National Health and Nutrition Examination Survey (2019-2021), we analyzed the data including participants aged 30 yrs or older with diabetes, and they were stratified into good and poor glycemic control groups. To analyze the correlation between the dietary behavior characteristics of participants with diabetes and the carbohydrate intake ratio, sociodemographic characteristics, dietary behavior, and health behavior were adjusted, and multivariate logistic regression analysis was conducted to present the adjusted odds ratio and 95% confidence interval (CI). RESULTS: In the unadjusted crude model, when carbohydrate intake ratio in total energy intake increased by 1%, the likelihood of poor glycemic control increased by 1.007-fold (95% CI, 0.998-1.016; P = 0.121). In model 1, which uses age and sex as adjustment variables, an increase of up to 1.011-fold was possible (95% CI, 1.001-1.021; P = 0.008). In model 2, which added variables such as diabetes duration, frequency of fruit consumption, frequency of lunch and, frequency of dinner, the risk of poor glycemic control increased by 1.010-fold as the carbohydrate intake ratio increased (95% CI, 0.998-1.022; P < 0.001). CONCLUSION: This study confirmed that as the ratio of carbohydrate intake to total energy intake increases the likelihood of poor glycemic control also increases in patients with diabetes. Therefore, to improve glycemic control in patients with diabetes, controlling the carbohydrate intake may be helpful.

Analysis of the influence of educational level on the nutritional status and lifestyle habits of the young Spanish population.

Aim: This study aims to analyze some nutrition and health habits of young people and the impact of educational attainment on health. Methods: An observational, descriptive, and cross-sectional study was carried out using surveys. Using non-probabilistic snowball sampling, a previously validated questionnaire was disseminated through networks, collecting a sample of 9,681 people between 18 and 30 years old. Comparative analyses between groups were obtained by clustering and the corresponding statistical tests. Results: The results showed how young people with higher education generally have a lower BMI, a higher healthy nutrition index, less frequent consumption of sugary drinks, and less smoking than their peers with basic education. These healthier habits are reflected in the higher self-perceived health status of the higher-educated group. While for all the educational levels analyzed, the minutes of physical activity practice are above the 150 min recommended by the WHO. Conclusion: Our findings suggest that young people's education level is of fundamental importance for health, particularly for nutritional habits. In general, the lifestyle habits of the young Spanish population are healthy, but there is a need for improvement in those aspects related to nutrition and food.

Association between dietary protein intake and constipation: Data from the National Health and nutrition examination survey 2005-2010.

BACKGROUND: The association between dietary protein intake and constipation remains inconclusive. The aim of this study was to investigate whether dietary protein intake is associated with constipation. METHODS: This cross-sectional study included 13,941 adults from the 2005 to 2010 National Health and Nutrition Examination Survey. A weighted logistic regression analysis was used to control for confounding factors. In addition, weighted interaction and stratified analyses were conducted to ascertain the potential modifying factors. RESULTS: The prevalence of constipation was 7.5% when constipation was defined by stool consistency and 3.5% when constipation was defined by stool frequency. After adjusting for covariates, an increase in dietary protein intake of 10 g was not associated with constipation, as defined by stool frequency (OR = 0.94, 95% CI = 0.54, 1.62) or stool consistency (OR = 1.02, 95% CI = 0.75, 1.39). Subgroup analyses revealed that dietary protein intake was associated with an increase in constipation defined by stool consistency risk in participants who consumed a low amount of carbohydrates (OR = 1.08, 95% CI = 1.02-1.14 for every 10-g increase in protein intake), but a decrease in risk in participants in the moderate-carbohydrate group (OR = 0.94, 95% CI = 0.89-0.99 for every 10-g increase in protein intake), suggesting a significant interaction (p = 0.001). CONCLUSION & INFERENCES: Dietary protein intake is not associated with stool consistency or frequency-defined constipation. However, the association between dietary protein intake and constipation defined by stool consistency in participants with a low carbohydrate intake differed from that in participants with a moderate carbohydrate intake.

Machine learning-based prediction of vitamin D deficiency: NHANES 2001-2018.

Background: Vitamin D deficiency is strongly associated with the development of several diseases. In the current context of a global pandemic of vitamin D deficiency, it is critical to identify people at high risk of vitamin D deficiency. There are no prediction tools for predicting the risk of vitamin D deficiency in the general community population, and this study aims to use machine learning to predict the risk of vitamin D deficiency using data that can be obtained through simple interviews in the community. Methods: The National Health and Nutrition Examination Survey 2001-2018 dataset is used for the analysis which is randomly divided into training and validation sets in the ratio of 70:30. GBM, LR, NNet, RF, SVM, XGBoost methods are used to construct the models and their performance is evaluated. The best performed model was interpreted using the SHAP value and further development of the online web calculator. Results: There were 62,919 participants enrolled in the study, and all participants included in the study were 2 years old and above, of which 20,204 (32.1%) participants had vitamin D deficiency. The models constructed by each method were evaluated using AUC as the primary evaluation statistic and ACC, PPV, NPV, SEN, SPE, F1 score, MCC, Kappa, and Brier score as secondary evaluation statistics. Finally, the XGBoost-based model has the best and near-perfect performance. The summary plot of SHAP values shows that the top three important features for this model are race, age, and BMI. An online web calculator based on this model can easily and quickly predict the risk of vitamin D deficiency. Conclusion: In this study, the XGBoost-based prediction tool performs flawlessly and is highly accurate in predicting the risk of vitamin D deficiency in community populations.

Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria.

BACKGROUND: The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization. METHODS: A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups. RESULTS: The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status. CONCLUSIONS: The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

Exploring Diet and Nutrient Insufficiencies across Age Groups: Insights from a Population-Based Study of Brazilian Adults.

Assessing dietary inadequacies can contribute to understanding the nutritional vulnerabilities of a country. This study aimed to investigate nutrient intakes and micronutrient inadequacies in the Brazilian adult population, with an interest in different age subgroups. We conducted a cross-sectional study with 1812 individuals aged 19 to 65 years from a population-based study with a representative sample of Brazilian adults. Dietary intake was assessed by two 24 h food recalls, and the probabilities of inadequate intake were estimated using the Dietary Reference Intake targets. Adequate macronutrient intake was over 99% for proteins, 84.7% for carbohydrates, and 80.7% for total fats. There was a high probability of inadequacy (above 90%) for vitamins D and E, but vitamin D inadequacy was very similar between the sexes. In contrast, vitamin E was more likely to be inadequately consumed among women. A high probability of inadequacies (above 85%) of calcium and magnesium were found in the population, regardless of age group. Except for iron, the probability of an inadequacy of other minerals increased with age. The results showed a relevant proportion of nutrient inadequacies, with those most at risk being women and older individuals, helping with the better targeting and monitoring of public-health policies that address nutritional problems in the population.

Perceiving a need for dietary change in adults living with and beyond cancer: A cross-sectional study.

BACKGROUND: Many people living with and beyond cancer (LWBC) do not meet dietary recommendations. To implement a healthier diet, people LWBC must perceive a need to improve their diet. METHODS: Participants included people diagnosed with breast, prostate or colorectal cancer in the UK. Two binary logistic regression models were conducted with perceived need for dietary change as the outcome (need to improve vs. no need). Predictor variables included demographic and clinical characteristics, receipt of dietary advice, and either body mass index (BMI) or adherence to seven relevant World Cancer Research Fund (WCRF) dietary recommendations. RESULTS: The sample included 5835 responses. Only 31% perceived a need to improve their diet. Being younger (odds ratio [OR] 0.95, 95% confidence interval [CI] = 94-0.95), female (OR = 1.33, 95% CI = 1.15-1.53), not of white ethnicity (OR = 1.8, 95% CI = 1.48-2.27), not married/cohabiting (OR = 1.32, 95% CI = 1.16-1.52) and having received dietary advice (OR = 1.36, 95% CI = 1.43-1.86) was associated with an increased odds of perceiving a need to improve diet. This association was also seen for participants with two or more comorbidities (OR = 1.31, 95% CI = 1.09-1.57), those not meeting the recommendations for fruit and vegetables (OR = 0.47, 95% CI = 0.41-0.55), fat (OR = 0.67, 95% CI = 0.58-0.77), and sugar (OR = 0.86, 95% CI = 0.75-0.98) in the dietary components model and those who had a higher BMI (OR = 1.53, 95% CI = 1.32-1.77) in the BMI model. CONCLUSIONS: Most of this sample of people LWBC did not perceive a need to improve their diet. More research is needed to understand the reasons for this and to target these reasons in dietary interventions.

Association between urinary organophosphate ester metabolite exposure and thyroid disease risk among US adults: National Health and Nutrition Examination Survey 2011-2014.

Background: Organophosphate esters (OPEs) may interfere with thyroid function, but the relationship between OPEs and thyroid disease remains unclear. This study aims to elucidate the relationship between OPEs exposure and thyroid disease risk in the general population in the United States. Method: Data were obtained from the 2011-2014 National Health and Nutrition Examination Survey cycle. All participants were tested for seven OPE metabolites in their urine and answered questions about whether they had thyroid disease through questionnaires. Logistic regression was employed to analyze the association between exposure to individual OPE metabolites and thyroid disease. Weighted Quantile Sum (WQS) regression modeling was utilized to assess exposure to mixed OPE metabolites and risk of thyroid disease. Bayesian kernel machine regression(BKMR) models to analyze the overall mixed effect of OPE metabolites. Result: A total of 2,449 participants were included in the study, 228 of whom had a history of thyroid disease. Bis(1,3-dichloro-2-propyl) phos (BDCPP), Diphenyl phosphate (DPHP) and Bis(2-chloroethyl) phosphate (BCEP) were the top three metabolites with the highest detection rates of 91.75%, 90.77% and 86.57%, respectively. In multivariate logistic regression models, after adjustment for confounding variables, individuals with the highest tertile level of BCEP were significantly and positively associated with increased risk of thyroid disease (OR=1.57, 95% CI=1.04-2.36), using the lowest tertile level as reference. In the positive WQS regression model, after correcting for confounding variables, mixed exposure to OPE metabolites was significantly positively associated with increased risk of thyroid disease (OR=1.03, 95% CI=1.01-1.06), with BCEP and DPHP having high weights. In the BKMR model, the overall effect of mixed exposure to OPE metabolites was not statistically significant, but univariate exposure response trends showed that the risk of thyroid disease decreased and then increased as BCEP exposure levels increased. Conclusion: The study revealed a significant association between exposure to OPE metabolites and an increased risk of thyroid disease, with BCEP emerging as the primary contributor. The risk of thyroid disease exhibits a J-shaped pattern, whereby the risk initially decreases and subsequently increases with rising levels of BCEP exposure. Additional studies are required to validate the association between OPEs and thyroid diseases.

Chewing Gum Is Associated with Better Diet Quality but Not Oral Health Measures in U.S. Adults.

Objective: Chewing gum (especially sugar-free gum) has been linked to improved oral health, however there is an absence of observational research using nationally-representative data in the United States. We sought to examine the factors associated with chewing gum and its relationship with the oral health status of U.S. adults.Methods: Cross-sectional data from the U.S. National Health and Nutrition Examination Survey (NHANES) 2013-2018 cycles were used in these analyses. Primary outcomes were the odds of having gum disease, treatment for gum disease, ever being told of bone loss around teeth, root caries, caries, and restoration. Unadjusted and multivariate logistic regression models were used to investigate the relationship of chewing gum use with demographic/lifestyle factors and the oral health status of participants.Results: 2.40% (n = 365) of adults were users of chewing gum and the average among users was 5.20 ± 0.40 g/d. Users of chewing gum were more likely to be female, younger in age, and non-Hispanic Black or Hispanic. Self-reported chewing gum use did not affect the oral health status of U.S. adults (OR: 1.10, 95% CI: 0.42-2.88 for gum disease; OR: 1.34, 95% CI: 0.64-2.81 for treatment for gum disease; OR: 0.56, 95% CI: 0.27-1.17 for bone loss around teeth; OR: 1.01, 95% CI: 0.32-3.12 for root caries; OR: 0.96, 95% CI: 0.54-1.69 for caries), except for restoration (OR: 3.54, 95% CI: 1.78-7.06), but was associated with improved diet quality (OR: 1.86, 95% CI: 1.11-3.12 for a healthy eating index (HEI) of 51-59; OR: 1.96, 95% CI: 1.08-3.56 for HEI of 60-93); and decreased intakes of snacks (OR: 1.64, 1.01-2.69), and added sugars.Conclusion: Future observational studies that more accurately capture chewing gum usage are needed, as these analyses have several limitations.

Infant and young child feeding practices in refugee settings across 203 population-based surveys from 2013-2019.

Infant and young child feeding (IYCF) plays a crucial role in early childhood growth and development. This study summarizes recent IYCF practices in multiple refugee settings and compares them to those in the host countries. We analyzed 203 surveys conducted among refugees residing in 15 countries and 120 unique sites and assessed eight IYCF indicators available from those surveys. A total of 146 surveys were conducted in Eastern and Southern Africa (ESA) and 50 in Western and Central Africa (WCA) regions. The median prevalence across surveys of all four indicators describing intake of breast milk was relatively high: 96.6% for ever breastfed, 81.2% for initiation of breastfeeding within 1 h of birth, 76.9% for exclusive breastfeeding 0-5 months, and 75.0% for continued breastfeeding 12-23 months. The median prevalence of early initiation and exclusive breastfeeding was markedly higher in ESA than in WCA (85.0% vs. 37.5% and 83.5% vs. 56.1%, respectively). Conversely, the overall median prevalence of timely introduction of solid and semisolid foods and flesh food consumption was low: 51.8% and 16.1%, respectively. Flesh food consumption was higher in WCA than in ESA (27.4% vs. 11.6%). The median prevalence of mixed milk feeding at 0-5 months and bottle feeding was very low: 2.4% and 3.8%, respectively. Indicators describing breast milk intake were generally either similar or higher in refugees than in the host country populations, whereas the other indicators were generally higher in the host populations than in refugees. The low prevalence of timely introduction of solids and of flesh food consumption in refugees is concerning and requires substantial improvement.

How many meals and snacks do Brazilians eat a day? Findings from the 2017-2018 Brazilian National Dietary Survey / Quantas refeições e lanches os brasileiros fazem por dia? Resultados do Inquérito Nacional de Alimentação de 2017-2018 / ¿Cuántas comidas y meriendas tienen los brasileños por día? Resultados de la Encuesta Nacional de Alimentación 2017-2018

The habit of eating specific meals has been addressed in several studies, but the evaluation of meal patterns has received less attention. This study aimed to describe the meal patterns of the Brazilian population. A complex sampling design was used to select the 46,164 ≥ 10-year-old individuals examined in the Brazilian National Dietary Survey. Food consumption was assessed by two non-consecutive 24-hour recalls applied throughout a one-week period. The exploratory data analysis approach was used to determine the meal patterns, i.e., how individuals combined the main meals (breakfast, lunch, dinner) and snacks (morning, afternoon, evening/night) throughout the day. The most common meal patterns were three main meals + one snack, reported by 25.1% of the individuals, and three main meals + two snacks (24.6%). Other meal patterns identified were: three main meals + three snacks (18.5%); three main meals and no snacks (10.9%); one or two main meals + two snacks (7.4%); one or two main meals + one snack (6.9%); one or two main meals + three snacks (4.2%); and one or two main meals and no snacks (2.3%). Meal patterns varied according to gender and age group, and on typical versus atypical food consumption days. We found that eight patterns characterized the daily meal consumption in Brazil. Furthermore, around 80% of the population had three main meals every day and about 13% did not report having any snacks. The characterization of meal habits is important for tailoring and targeting health promotion actions.

Os hábitos de consumo de refeições específicas têm sido abordados em diversos estudos, no entanto, a avaliação dos padrões refeições tem recebido menos atenção. O objetivo deste estudo foi descrever os padrões de refeições da população brasileira. Um desenho amostral complexo foi utilizado para selecionar os 46.164 indivíduos de ≥ 10 anos examinados no Inquérito Nacional de Alimentação de 2017-2018. O consumo alimentar foi avaliado por meio de dois recordatórios de 24 horas não consecutivos, aplicados durante um período de uma semana. A análise exploratória de dados foi utilizada para determinar os padrões de refeições, ou seja, como os indivíduos combinam as principais refeições (café da manhã, almoço, jantar) e lanches (manhã, tarde, noite) ao longo do dia. Os padrões de refeições mais frequentes foram três refeições principais + um lanche, conforme relatado por 25,1% dos indivíduos, e três refeições principais + dois lanches (24,6%). Outros padrões de refeições identificados foram: três refeições principais + três lanches (18,5%); três refeições principais e nenhum lanche (10,9%); uma ou duas refeições principais + dois lanches (7,4%); uma ou duas refeições principais + um lanche (6,9%); uma ou duas refeições principais + três lanches (4,2%); e uma ou duas refeições principais e nenhum lanche (2,3%). Os padrões de refeições variaram de acordo com o sexo e a faixa etária, e nos dias típicos em comparação com os atípicos de consumo alimentar. Verificou-se que oito padrões caracterizaram o consumo diário de refeições no Brasil. Além disso, cerca de 80% da população realizava três refeições principais diárias e cerca de 13% reportaram não lanchar. A caracterização dos padrões de refeições é importante para adequar e direcionar ações de promoção da saúde.

Los hábitos alimenticios específicos se han abordado en varios estudios, sin embargo, poco se sabe sobre la evaluación de los patrones de alimentación. El objetivo de este estudio fue describir el patrón de alimentación de la población brasileña. Se utilizó un diseño de muestra complejo para seleccionar a 46.164 individuos de ≥ 10 años quienes participaron en la Encuesta Nacional de Alimentación 2017-2018. El consumo alimentario se evaluó mediante dos registros de 24 horas no consecutivos, aplicados durante una semana. Para determinar el patrón de alimentación, se aplicó el análisis exploratorio, es decir, cómo las personas combinan las comidas principales (desayuno, almuerzo, cena) y las meriendas (mañana, tarde, noche) a lo largo del día. Los patrones de alimentación más frecuentes fueron tres comidas principales + una merienda según informan el 25,1% de los individuos, y tres comidas principales + dos meriendas (24,6%). Otros patrones identificados destacaron tres comidas principales + tres meriendas (18,5%); tres comidas principales sin merienda (10,9%); una o dos comidas principales + dos meriendas (7,4%); una o dos comidas principales + una merienda (6,9%); una o dos comidas principales + tres meriendas (4,2%); y una o dos comidas principales sin merienda (2,3%). Los patrones de alimentación tuvieron una variación según el sexo y el grupo de edad, y en días típicos en comparación con los atípicos de consumo de alimentos. Se encontró que ocho patrones caracterizan el consumo diario de comidas en Brasil. Por lo tanto, aproximadamente el 80% de la población tienen tres comidas principales al día y aproximadamente el 13% informan que no tienen merienda. Es importante caracterizar los patrones de alimentación para adaptar y orientar las acciones de promoción de la salud.

Sodium intake according to NOVA food classification in Brazil: trends from 2002 to 2018 / Ingestão de sódio segundo a classificação NOVA no Brasil: tendências de 2002 a 2018 / Ingesta de sodio según la clasificación NOVA en Brasil: tendencias del 2002 al 2018

Abstract: Excessive sodium intake is a major global public health issue and the identification of dietary sources and temporal trends in its consumption are a key to effective sodium reduction policies. This study aims to update estimates of sodium intake and its dietary sources in Brazil according to the NOVA food classification system. Records of 7-day food purchases of households from the Brazilian Household Budgets Survey of 2002-2003, 2008-2009, and 2017-2018 were converted into nutrients using food composition tables and the mean availability was estimated per 2,000kcal/day. Mean daily sodium available for consumption in Brazilian households has increased from 3.9 to 4.7g per 2,000kcal, from 2002-2003 to 2017-2018, over twice the recommended levels of sodium intake. From 2002-2003 to 2017-2018, the processed culinary ingredients, including table salt, represented the largest dietary source of sodium, although their participation in dietary sodium was reduced by 17% (66.6% to 55%), while the percentage of dietary sodium from processed foods increased by 20.3% and from ultra-processed foods increased by 47.6% (11.3% to 13.6% and 17% to 25.1%, respectively). In conclusion, the total household sodium availability remains high and has increased over time in Brazil, yet the participation of different dietary sources of sodium have gradually changed.

Resumo: A ingestão excessiva de sódio é um dos principais problemas de saúde pública em todo o mundo e a identificação de fontes alimentares e tendências temporais no seu consumo são fundamentais para a elaboração de políticas eficazes de redução de sódio. Este estudo tem como objetivo atualizar as estimativas de ingestão de sódio e suas fontes alimentares no Brasil de acordo com o sistema de classificação NOVA. Os registros de compras de alimentos no período de 7 dias de famílias das Pesquisas de Orçamentos Familiares de 2002-2003, 2008-2009 e 2017-2018 foram convertidos em nutrientes utilizando tabelas de composição de alimentos. A disponibilidade média foi estimada em 2.000kcal/dia. A média diária de sódio disponível para consumo nos domicílios brasileiros aumentou de 3,9 para 4,7g por 2.000kcal, de 2002-2003 a 2017-2018, mais do que o dobro dos níveis recomendados de ingestão desse nutriente. De 2002-2003 a 2017-2018, os ingredientes culinários processados, incluindo o sal de cozinha, representaram a maior fonte de sódio, embora a sua participação no sódio dietético tenha sido reduzida em 17% (de 66,6% para 55%), enquanto a porcentagem de sódio dietético dos alimentos processados aumentou 20,3% e dos alimentos ultraprocessados aumentou 47,6% (11,3% para 13,6% e 17% para 25,1%, respectivamente). Concluindo, a disponibilidade total de sódio nos domicílios permanece alta e tem aumentado ao longo do tempo no Brasil, mas a participação de diferentes fontes dietéticas de sódio mudou gradualmente.

Resumen: La ingesta excesiva de sodio es uno de los principales problemas de salud pública en todo el mundo, y la identificación de las fuentes alimentarias y tendencias temporales en su consumo son esenciales para desarrollar políticas efectivas de reducción de sodio. Este estudio tiene como objetivo actualizar las estimaciones de la ingesta de sodio y sus fuentes alimentarias en Brasil según el sistema de clasificación NOVA. Los registros de compras de alimentos en el período de 7 días de familias de las Encuestas de Presupuestos Familiares de Brasil de 2002-2003, 2008-2009 y 2017-2018 se convirtieron en nutrientes utilizando tablas de composición de alimentos. La disponibilidad media se estimó en 2.000kcal/día. El promedio diario de sodio disponible para el consumo en los hogares brasileños aumentó de 3,9 a 4,7g por 2.000kcal, entre 2002-2003 y 2017-2018, más del doble de los niveles de ingesta recomendados de este nutriente. Entre 2002-2003 y 2017-2018, los ingredientes culinarios procesados, incluida la sal de mesa, representaron la mayor fuente de sodio, aunque su participación en el sodio dietético se redujo en un 17% (del 66,6% al 55%), mientras que el porcentaje de sodio dietético de los alimentos procesados aumentó un 20,3% y de los alimentos ultraprocesados aumentó un 47,6% (11,3% a 13,6% y 17% a 25,1%, respectivamente). En conclusión, la disponibilidad total de sodio en los hogares sigue siendo alta y ha aumentado a lo largo del tiempo en Brasil, pero la proporción de diferentes fuentes dietéticas de sodio ha cambiado gradualmente.

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates is unknown. This study was a systematic review of peer-reviewed journal articles comparing fully automated AI-based (e.g. deep learning) methods of dietary assessment from digital images to human assessors and ground truth (e.g. doubly labelled water). MATERIALS AND METHODS: Literature was searched through May 2023 in four electronic databases plus reference mining. Eligible articles reported AI estimated volume, energy, or nutrients. Independent investigators screened articles and extracted data. Potential sources of bias were documented in absence of an applicable risk of bias assessment tool. RESULTS: Database and hand searches identified 14,059 unique publications; fifty-two papers (studies) published from 2010 to 2023 were retained. For food detection and classification, 79% of papers used a convolutional neural network. Common ground truth sources were calculation using nutrient tables (51%) and weighed food (27%). Included papers varied widely in food image databases and results reported, so meta-analytic synthesis could not be conducted. Relative errors were extracted or calculated from 69% of papers. Average overall relative errors (AI vs. ground truth) ranged from 0.10% to 38.3% for calories and 0.09% to 33% for volume, suggesting similar performance. Ranges of relative error were lower when images had single/simple foods. CONCLUSIONS: Relative errors for volume and calorie estimations suggest that AI methods align with - and have the potential to exceed - accuracy of human estimations. However, variability in food image databases and results reported prevented meta-analytic synthesis. The field can advance by testing AI architectures on a limited number of large-scale food image and nutrition databases that the field determines to be adequate for training and testing and by reporting accuracy of at least absolute and relative error for volume or calorie estimations.

These results suggest that AI methods are in line with ­ and have the potential to exceed ­ accuracy of human estimations of nutrient content based on digital food images.Variability in food image databases used and results reported prevented meta-analytic synthesis.The field can advance by testing AI architectures on a limited number of large-scale food image and nutrition databases that the field determines to be accurate and by reporting accuracy of at least absolute and relative error for volume or calorie estimations.Overall, the tools currently available need more development before deployment as stand-alone dietary assessment methods in nutrition research or clinical practice.

Is Dietary (Food) Supplement Intake Reported in European National Nutrition Surveys?

Dietary (food) supplements (DSs) have seen a sharp increase in use and popularity in recent years. Information on DS consumption is vital for national nutrition monitoring. The objective of this study was to investigate whether DS intake was reported in the National Nutrition Surveys (NNSs) in all European countries. NNSs reporting DS use were retrieved via literature review (i.e., PubMed, Google Scholar, Scopus), scientific and organizational publications (EFSA), or open-published government and other official reports. Included were the European NNSs referring to adults, published in English, French, or German, post-2000. Out of the 53 European countries, 30 recorded DS intake. Among them, related findings on the percentage of DS intake were published in 21 cases, 5 of them written in the local language. DS use varied by nation, with Finland and Denmark having the greatest (over 50%) and Italy having the lowest percentage (5%). In terms of comprehensive reported data on DS consumption in Europe and the investigation of the contribution of DSs to total nutrient intake, there is a need for improvement. Common DS categories should be defined upon agreement among the involved scientific parties to allow for comparable data and estimations between surveys.

Optimization of a Food List for Food Frequency Questionnaires Using Mixed Integer Linear Programming: A Proof of Concept Based on Data from the Second German National Nutrition Survey.

Food Frequency Questionnaires (FFQs) are important instruments to assess dietary intake in large epidemiological studies. To determine dietary intake correctly, food lists need to be adapted depending on the study aim and the target population. The present work compiles food lists for an FFQ with Mixed Integer Linear Programming (MILP) to minimize the number of foods in the food list. The optimized food lists were compared with the validated eNutri FFQ. The constraints of the MILP aimed to identify food items with a high nutrient coverage in a population and with a high interindividual variability. The optimization was based on data from the second German National Nutrition Survey. The resulting food lists were shorter than the one used in the validated eNutri FFQ.

The Relationship between Physical Activity and Health-Related Quality of Life in Korean Adults: The Eighth Korea National Health and Nutrition Examination Survey.

This study used the raw data from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES-VIII), conducted under the supervision of the Ministry of Health and Welfare and the Korea Centers for Disease Control and Prevention in 2019. It was conducted to identify a significant correlation between physical activity (PA) and health-related quality of life (HR QOL) in the Korean population. In 2019, the KNHANES-VIII added the Health-related Quality of Life Instrument with 8 items (HINT-8) to assess the HR QOL. The independent variable is related to PA, specifically the presence or absence of PA, type of PA, and the frequency of PA. The dependent variable is HR QOL, measured either as the total score or specific items (e.g., pain, vitality, and memory) using the HINT-8 measurement tool. Demographic characteristics and health status may directly or indirectly influence the relationship between PA and HR QOL, which were used as covariates. A total of 4357 participants were included in the current study. The mean HINT-8 scores were significantly higher in the participants who performed PA on a weekly basis, leisure-related PA or MSPA, as compared with those who did not (p = 0.01 and <0.0001, respectively). In both the unadjusted and adjusted models, the mean HINT-8 scores were significantly higher in the participants who performed ≥500 MET-min/week of leisure-related PA as compared with those who did not (95% CI: 1.017-1.033; p < 0.001 and 95% CI: 1.005-1.02; p = 0.001, respectively). In both the unadjusted and adjusted models, the mean HINT-8 scores were significantly higher (95% CI: 1.015-1.03; p < 0.001 and 95% CI: 1.004-1.018; p = 0.003, respectively) in the participants who performed MSPA for ≥2 days/week as compared with those who did not. The current results confirmed that there is a significant positive correlation between the PA and HR QOL based on the HINT-8 scores. Because the HINT-8 was developed to assess the HR QOL in Koreans, however, further studies are warranted to evaluate its applicability to other ethnic populations.

Association between serum uric acid/high-density lipoprotein cholesterol ratio and hypertension among reproductive-aged women.

BACKGROUND: Uric acid/high-density lipoprotein cholesterol ratio (UHR) is a novel index of inflammation and metabolism that has been investigated in various diseases. However, association between UHR and hypertension among reproductive-aged women is unclear. METHODS: In this cross-sectional study, we investigated the association between serum UHR and hypertension among 5485 women aged 20-44 years based on the National Health and Nutrition Examination Survey (NHANES) database using various methods, including univariate and multivariate logistic regression analysis, stratified analysis, and spline regression. P < 0.05 was considered statistically significant. RESULTS: There was significant difference in UHR between the women with and without hypertension (P < 0.001). After adjusting for several covariates, UHR was positively correlated with hypertension (OR > 1, P < 0.001). In the subgroup analysis, the positive correlations still remained between UHR and hypertension in women with various age and those with BMI ≥ 30 kg/m2 (P < 0.05) excepted for adjusting for all covariates. We further found an inflection point of the threshold effect for UHR, and the prevalence of hypertension showed different increased trends below and above the threshold. CONCLUSION: This study indicated a positive association between serum UHR and hypertension among reproductive-aged women, indicating that UHR is a potential clinical marker of hypertension in women.

Association of environmental polycyclic aromatic hydrocarbons exposure with periodontitis in NHANES 2009-2014: A mixtures approach.

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs) can invade and cause harm to the human body through various pathways, but there is currently little research on the relationship between mixed-PAHs exposure and periodontitis. The purpose of this study was to examine the effects of mixed-urinary PAHs exposure on periodontitis in adults in the United States. METHODS: The cross-sectional study included 2749 subjects selected from the National Health and Nutrition Examination Survey (NHANES) 2009-2014 cycles. A professional examination of the periodontal status was conducted to distinguish between periodontitis and non-periodontitis based on the Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP) case definition. Laboratory testing of urine samples was performed to obtain the levels of urinary PAHs. Pearson correlation coefficients were utilized to determine the degree of correlation between urinary PAHs, while weighted binary logistic regression and Bayesian kernel machine regression (BKMR) were employed to evaluate the relationship between urinary PAHs and periodontitis. RESULTS: In a single-exposure model, 3-hydroxyfluorene (OH-3F), 2-hydroxyfluorene (OH-2F), 1-hydroxyphenanthrene (OH-1Ph), and 2-hydroxyphenanthrene and 3-hydroxyphenanthrene (OH-2,3Ph) were positively associated with periodontitis risk. In the mixed-exposure model, BKMR analysis demonstrated that mixed exposure to urinary PAHs was positively associated with periodontitis, with OH-2F being the most critical factor for the overall mixed effects (posterior inclusion probability [PIP] = 0.98). Univariate exposure-response function and univariate effects analysis revealed a positive correlation between urinary OH-2F levels and periodontitis. CONCLUSIONS: The study reveals a significant positive correlation between exposure to mixed PAHs and periodontitis, with a particular emphasis on the pivotal role of OH-2F. Mitigating PAHs in the environment may serve as a preventive measure against periodontitis and alleviate its global public health burden.

Association of Pork Intake with Cognitive Performance in Older Adults Enrolled in the National Health and Nutrition Examination Survey (NHANES), 2011-2014 Data Cycles.

BACKGROUND: Pork provides higher levels of several nutrients important for cognitive maintenance in older adults. A pilot clinical study suggests the addition of moderate amounts of pork to a Mediterranean-style diet improves cognition in older adults. There is an absence of observational research that isolates effects of pork from other red meats. OBJECTIVE: To examine the relationship of pork intake on cognitive performance in older adults. METHODS: Cross-sectional data from the U.S. National Health and Nutrition Examination Survey (NHANES) 2011-2014 cycles were used in these analyses. Pork intake was assessed using data from two non-consecutive 24-h dietary recalls. Cognitive function was assessed by the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word Learning, CERAD Delayed Recall, Animal Fluency, and Digital Substitution tests. Statistical analyses were adjusted for sample weighting and survey design variables to account for the complex design. Student t-tests (continuous variables) and Pearson chi-squared tests (categorical variables) were employed to compare participant characteristics between the low and normal cognitive performance groups. Logistic regression was used to determine the relationship of pork intake (low, medium, and high) with prevalence of low cognitive performance, with the non-consumer group as the referent category. RESULTS: Pork intake was not beneficially or detrimentally associated performance on the any of the cognitive tests in both the crude and multivariate models (p > 0.05). CONCLUSIONS: Prospective cohort investigations and larger/longer-term clinical trials are needed to fully elucidate effects of pork intake on cognition in older adults.