Determinants of the consumption of ultra-processed foods in the Brazilian population.

This article aims to evaluate the sociodemographic determinants of ultra-processed foods (UPF) consumption in the Brazilian population ≥ 10 years of age. The study used data from the personal and resident food consumption module of the Family Budget Surveys, grouping foods according to the NOVA classification of food processing. The classification and regression tree (CART) was used to identify the factors determining the lowest to highest percentage participation of UPF in the Brazilian population. UPF accounted for 37·0 % of energy content in 2017-2018. In the end, eight nodes of UPF consumption were identified, with household situation, education in years, age in years and per capita family income being the determining factors identified in the CART. The lowest consumption of UPF occurred among individuals living in rural areas with less than 4 years of education (23·78 %), while the highest consumption occurred among individuals living in urban areas, < 30 years of age and with per capita income ≥ US$257 (46·27 %). The determining factors identified in CART expose the diverse pattern of UPF consumption in the Brazilian population, especially conditions directly associated with access to these products, such as penetration in urban/rural regions. Through the results of this study, it may be possible to identify focal points for action in policies and actions to mitigate UPF consumption.

Shorter Telomere Length is Associated with Food Insecurity in Older People: A Cross-Sectional Study.

BACKGROUND: Telomere length has been investigated as a biomarker of biological aging and is associated with several diseases, lifestyle, and socioeconomic factors. OBJECTIVE: This study aimed to verify whether food insecurity is associated with shorter telomere length in older people. METHODS: This is a cross-sectional study carried out in a municipality in the interior of Brazil, with a sample of 440 older people from the community. For telomere length analysis, a blood sample was obtained from each participant, followed by real-time qPCR, and sociodemographic and health information was collected through interviews. Food security/insecurity was measured using the reduced version of the Brazilian Food Insecurity Scale. Descriptive analysis and multiple logistic regression were performed to analyze the factors associated with shorter telomere length, adopting a significance level of 5%. RESULTS: We found that food insecurity was significantly associated with shorter telomere length, regardless of age group, skin color, tabagism, physical activity, milk and dairy consumption, living arrangement, and basic activities of daily life. CONCLUSION: The findings show the importance of ensuring full access to adequate nutrition for the older population, who are physiologically and socially vulnerable.

A machine learning-based online web calculator to aid in the diagnosis of sarcopenia in the US community.

Background: Sarcopenia places a heavy healthcare burden on individuals and society. Recognizing sarcopenia and intervening at an early stage is critical. However, there is no simple and easy-to-use prediction tool for diagnosing sarcopenia. The aim of this study was to construct a well-performing online web calculator based on a machine learning approach to predict the risk of low lean body mass (LBM) to assist in the diagnosis of sarcopenia. Methods: Data from the National Health and Nutritional Examination Surveys 1999-2004 were selected for model construction, and the included data were randomly divided into training and validation sets in the ratio of 75:25. Six machine learning methods- Classification and Regression Trees, Logistic Regression, Neural Network, Random Forest, Support Vector Machine, and Extreme Gradient Boosting (XGBoost)-were used to develop the model. They are screened for features and evaluated for performance. The best-performing models were further developed as an online web calculator for clinical applications. Results: There were 3046 participants enrolled in the study and 815 (26.8%) participants with LBM. Through feature screening, height, waist circumference, race, and age were used as machine learning features to construct the model. After performance evaluation and sensitivity analysis, the XGBoost-based model was determined to be the best model with better discriminative performance, clinical utility, and robustness. Conclusion: The XGBoost-based model in this study has excellent performance, and the online web calculator based on it can easily and quickly predict the risk of LBM to aid in the diagnosis of sarcopenia in adults over the age of 60.

Development and external validation of a machine-learning based model to predict pre-sarcopenia in MASLD population: Results from NHANES 2017-2018.

INTRODUCTION AND OBJECTIVES: With rising prevalence of pre-sarcopenia in metabolic dysfunction-associated steatotic liver disease (MASLD), this study aimed to develop and validate machine learning-based model to identify pre-sarcopenia in MASLD population. MATERIALS AND METHODS: A total of 571 MASLD subjects were screened from the National Health and Nutrition Examination Survey 2017-2018. This cohort was randomly divided into training set and internal testing set with a ratio of 7:3. Sixty-six MASLD subjects were collected from our institution as external validation set. Four binary classifiers, including Random Forest (RF), support vector machine, and extreme gradient boosting and logistic regression, were fitted to identify pre-sarcopenia. The best-performing model was further validated in external validation set. Model performance was assessed in terms of discrimination and calibration. Shapley Additive explanations were used for model interpretability. RESULTS: The pre-sarcopenia rate was 17.51 % and 15.16 % in NHANES cohort and external validation set, respectively. RF outperformed other models with area under receiver operating characteristic curve (AUROC) of 0.819(95 %CI: 0.749, 0.889). When six top-ranking features were retained as per variable importance, including weight-adjusted waist, sex, race, creatinine, education and alkaline phosphatase, a final RF model reached an AUROC being 0.824(0.737, 0.910) and 0.732(95 %CI: 0.529, 0.936) in internal and external validation sets, respectively. The model robustness was proved in sensitivity analysis. The calibration curve and decision curve analysis confirmed a good calibration capacity and good clinical usage. CONCLUSIONS: This study proposed a user-friendly model using explainable machine learning algorithm to predict pre-sarcopenia in MASLD population. A web-based tool was provided to screening pre-sarcopenia in community and hospitalization settings.

Association between Body Fat Distribution and Nonalcoholic Fatty Liver Disease/Fibrosis Based on Race/Ethnicity.

Background: Body fat distribution may impact nonalcoholic fatty liver disease (NAFLD) and significant fibrosis differently according to race/ethnicity. We determined the relationship between body fat distribution and NAFLD/significant fibrosis according to race/ethnicity. Methods: A cross-sectional study of 2,395 participants used the National Health and Nutrition Examination Survey 2017 to 2018. NAFLD and significant fibrosis (≥F2) were defined by controlled attenuation parameter scores and liver stiffness measurements on transient elastography, respectively. Visceral and subcutaneous fat volumes were defined by dual-energy X-ray absorptiometry. Results: The odds ratio (OR) for NAFLD per 1-standard deviation in visceral fat volume and subcutaneous fat volume was 2.31 (95% confidence interval [CI], 1.50 to 3.39) and 1.93 (95% CI, 1.43 to 2.61) in total population, respectively. Visceral fat in non-Hispanic Blacks had the highest odds for NAFLD (OR, 2.86; 95% CI, 1.45 to 5.62), and non-Hispanic Whites (OR, 2.29; 95% CI, 1.19 to 4.40) and non-Hispanic Asians (OR, 1.61; 95% CI, 1.13 to 2.29) were in order. Significant associations between subcutaneous fat volume (OR, 2.10; 95% CI, 1.34 to 3.29; P=0.003) or visceral fat volume (OR, 1.35; 95% CI, 1.05 to 1.73; P=0.023) and significant fibrosis were noted among individuals with NAFLD. Hispanics had the highest odds for NAFLD-associated significant fibrosis (OR, 2.74; 95% CI, 1.32 to 5.70), and non-Hispanic Whites (OR, 2.35; 95% CI, 1.11 to 4.98) and non-Hispanic Asians (OR, 2.01; 95% CI, 1.01 to 4.01) were in order. Conclusion: Visceral adiposity was associated with NAFLD and significant fibrosis despite the association of subcutaneous adiposity in NAFLD and significant fibrosis. Racial/ethnic differences in the association between body fat distribution on NAFLD and significant fibrosis were noted.

Assessment of Sex-Specific Associations between Athletic Identity and Nutrition Habits in Competitive Youth Athletes.

Given the psychological aspects of sports nutrition, understanding one's athletic identity (AI) may improve targeted nutrition education. Therefore, the purpose of this study was to examine nutrition habits and AI among uninjured youth athletes. Athletic Identity Measurement Scale (AIMS) and custom Sports Nutrition Assessment for Consultation (SNAC) scores collected prospectively at local sporting events were retrospectively assessed via Mann-Whitney, Kruskal-Wallis, logistic regression, and ANCOVA tests (95% CI). Among 583 athletes (14.5 ± 2.1 years; 59.9% female), the total AIMS scores did not differ by sex (males 39.9 ± 7.2; females 39.3 ± 7.5; maximum 70). The Social Identity (p = 0.009) and Exclusivity (p = 0.001) subscores were higher in males, while the Negative Affectivity subscores were lower (p = 0.019). Females reported frequent associations between SNAC and AIMS, particularly Negative Affectivity, which was positively associated with stress fracture history (p = 0.001), meal-skipping (p = 0.026), and desiring nutrition knowledge (p = 0.017). Males receiving weight recommendations reported higher Negative Affectivity subscores (p = 0.003), and higher total AIMS scores were observed in males with fatigue history (p = 0.004) and a desire for nutrition knowledge (p = 0.012). Fatigue and stress fracture history predominated in high-AI males and females, respectively, suggesting that poor sports nutrition may present differently by sex. As suboptimal nutrition was frequently related to high Negative Affectivity subscores, these habits may increase following poor sports performance.

Association between Life's essential 8 and stress urinary incontinence in women from the National Health and nutrition examination survey 2005-2018: A cross-sectional study.

OBJECTIVE: Stress urinary incontinence (SUI) may be associated with cardiovascular disease. Life's Essential 8 (LE8), a recently updated measure of cardiovascular health (CVH), has been investigated for its association with SUI in women. METHODS: The study adopted a cross-sectional design with national scope, incorporating 9332 women aged 20 and above, selected from the National Health and Nutrition Examination Survey dataset from 2005 to 2018. The LE8 metric, which varies from 0 to 100, was evaluated based on the criteria set by the American Heart Association. SUI was determined based on self-report. To evaluate these correlations, we employed models with multivariable logistic variables and a restricted cubic spline. RESULTS: In the cross-sectional study, a total of 9332 participants were included (weighted average age, 52.23 years), and 4274 had SUI (weighted percentage, 48.64%). Considering potential confounders, it was found that higher LE8 scores were associated with lower odds of SUI (odds ratio [OR] for each 10-point increase was 0.83; 95% confidence interval [CI], 0.80-0.87). Compared to participants with lower LE8 scores, those with higher LE8 scores had a 57% lower probability of developing SUI. There was a statistically significant association between LE8 score and SUI among participants who were middle-aged, non-Hispanic white, had higher levels of education and income, and were living with a partner. CONCLUSION: According to this study, there was an association between increase in Life's Essential 8 and reduction in SUI risk. Therefore, promoting optimal CVH may associate with reducing SUI in women.

The inverse associations of glycine and histidine in diet with hyperlipidemia and hypertension.

BACKGROUND: Amino acids are crucial for nutrition and metabolism, regulating metabolic pathways and activities vital to organismal health and stability. Glycine and histidine act as potent antioxidants and anti-inflammatory agents; however, limited knowledge exists regarding the associations between these amino acids and hyperlipidemia and hypertension. The purpose of this study is to investigate the relationship between dietary glycine and histidine, and hyperlipidemia and hypertension. METHODS: This population-based cross-sectional study evaluated the influence of dietary glycine and histidine, as well as their combined effect, on hyperlipidemia and hypertension in Chinese adults participating in the Nutrition Health Atlas Project (NHAP). General characteristics were acquired using a verified Internet-based Dietary Questionnaire for the Chinese. Binary logistic regression, along with gender, age groups, and median energy intake subgroup analyses, was employed to investigate the associations between dietary glycine and histidine and hyperlipidemia and hypertension. A sensitivity analysis was conducted to assess the impact of excluding individuals who smoke and consume alcohol on the results. RESULTS: Based on the study's findings, 418 out of 1091 cases had hyperlipidemia, whereas 673 had hypertension. A significant inverse relationship was found between dietary glycine, histidine, and glycine + histidine and hyperlipidemia and hypertension. Compared with the 1st and 2nd tertiles, the multivariable-adjusted odd ratios (ORs) (95% confidence intervals) (CIs) of the 3rd tertile of dietary glycine for hyperlipidemia and hypertension were 0.64 (0.49-0.84) (p < 0.01) and 0.70 (0.56-0.88) (p < 0.001); histidine was 0.63 (0.49-0.82) (p < 0.01) and 0.80 (0.64-0.99) (p < 0.01); and glycine + histidine was 0.64 (0.49-0.83) (p < 0.01) and 0.74 (0.59-0.92) (p < 0.001), respectively. High glycine and high histidine (HGHH) intake were negatively associated with hyperlipidemia and hypertension OR (95% CIs) were: 0.71 (0.58-0.88) (p < 0.01) and 0.73 (0.61-0.87) (p < 0.01), respectively. CONCLUSIONS: Dietary glycine and histidine, as well as their HGHH group, revealed an inverse relationship with hyperlipidemia and hypertension. Further investigations are needed to validate these findings.

Energy-Dense and Low-Fiber Dietary Pattern May Be a Key Contributor to the Rising Obesity Rates in Brazil.

Hybrid methods are a suitable option for extracting dietary patterns associated with health outcomes. This study aimed to identify the dietary patterns of Brazilian adults (20-59 years old; n = 28,153) related to dietary components associated with the risk of obesity. Data from the 2017-2018 Brazilian National Dietary Survey were analyzed. Food consumption was obtained through 24 h recall. Dietary patterns were extracted using partial least squares regression, using energy density (ED), percentage of total fat (%TF), and fiber density (FD) as response variables. In addition, 32 food groups were established as predictor variables in the model. The first dietary pattern, named as energy-dense and low-fiber (ED-LF), included with the positive factor loadings solid fats, breads, added-sugar beverages, fast foods, sauces, pasta, and cheeses, and negative factor loadings rice, beans, vegetables, water, and fruits (≥|0.15|). Higher adherence to the ED-LF dietary pattern was observed for individuals >40 years old from urban areas, in the highest income level, who were not on a diet, reported away-from-home food consumption, and having ≥1 snack/day. The dietary pattern characterized by a low intake of fruits, vegetables, and staple foods and a high intake of fast foods and sugar-sweetened beverages may contribute to the obesity scenario in Brazil.

Design and validation of a photographic atlas of Peruvian foods to evaluate the food consumption of children from 6 to 12 months of age.

OBJECTIVE: Design and validation a photographic atlas of Peruvian foods to evaluate the food consumption of children from 6 to 12 months of age. METHODS: Quantitative, descriptive, and cross-sectional study. 12 food groups were established according to their nutrient content. The atlas is designed to be applied to mothers, fathers, or caregivers of children from 6 to 12 months of age. The methodology was divided into four stages: i) selection of the food list, regional recipe books from Peru were reviewed, then interviews with mothers of children in the age range were verified for the final selection of the food list; ii) preparation and weighing of food, utensils were used to establish home measurements and with the established weight the macro and micronutrients were calculated with tables of composition of Peruvian foods; iii) development of the photographic session, a professional photographer with previous experience in similar works was used; and iv) expert validation, with the participation of 5 nutritionists with experience in infant feeding. RESULTS: The proposed atlas includes 57 foods with a total of 91 photographs. The content validity coefficient according to food category and in total obtained an assessment of 0.75 (Cohen's kappa coefficient), which gives it acceptable validity and agreement. CONCLUSIONS: The photographic atlas of food portions for infant feeding in Peru is a practical, reliable, and culturally appropriate visual tool to help estimate the amount of food consumed by this population, which will facilitate the estimation of food intake.

Effect of Physical Activity on the Association Between Diet and Constipation: Evidence From the National Health and Nutrition Examination Survey 2007-2010.

Background/Aims: Previous studies have shown that diet and physical activity can influence constipation. However, the combined effect of diet and physical activity on constipation remains unclear. Methods: Constipation was defined based on stool consistency and frequency, while overall diet quality was assessed using Healthy Eating Index (HEI)-2015 scores. Participants were categorized into low (metabolic equivalent [MET]-min/wk < 500) and high physical activity groups (MET-min/wk ≥ 500). The association between diet and constipation across physical activity groups was analyzed using survey logistic regression and restricted cubic splines. Results: Higher HEI-2015 scores were associated with reduced constipation risk in the high physical activity group when constipation was defined by stool consistency (odds ratio [OR], 0.98; 95% confidence interval [CI], 0.97-0.99). However, in the low physical activity group, increased HEI-2015 scores did not significantly affect constipation risk (OR, 1.01; 95% CI, 0.97-1.05). Similar results were found when constipation was defined based on stool frequency. In the high physical activity group, increased HEI-2015 scores were significantly associated with a reduced constipation risk (OR, 0.96; 95% CI, 0.94-0.98). Conversely, in the low physical activity group, increased HEI-2015 scores did not affect the risk of constipation (OR, 0.96; 95% CI, 0.90-1.03). Conclusions: Our findings suggest that a higher HEI-2015 score is negatively associated with constipation among individuals with high physical activity levels but not among those with low physical activity levels. This association was consistent when different definitions of constipation were used. These results highlight the importance of combining healthy diet with regular physical activity to alleviate constipation.

The Association Between Depressive Symptoms and the Weekly Duration of Physical Activity Subset by Intensity and Domain: Population-Based, Cross-Sectional Analysis of the National Health and Nutrition Examination Survey From 2007 to 2018.

BACKGROUND: Prior literature suggests a dose-response relationship between physical activity (PA) and depressive symptoms. The intensity and domain of PA are suggested to be critical to its protective effect against depression; however, existing literature has shown mixed results. OBJECTIVE: The purpose of this population-based study is to examine the associations between depressive symptoms and weekly duration of (1) total PA and (2) PA subset by intensity, domain, or both. METHODS: A cross-sectional analysis of National Health and Nutrition Examination Survey data from 2007 to 2018 was conducted using multivariable logistic and linear regression models and survey weights. Participants (N=29,730) were 20 years and older and completed the Physical Activity Questionnaire and Depression Screener. The primary outcome was the presence of depressive symptoms, and the secondary outcomes were cognitive-affective and somatic symptoms of depression. RESULTS: Participants (N=29,730) had a weighted mean age of 47.62 (SD 16.99) years, and 15,133 (51.34%) were female. On average, participants without depressive symptoms engaged in 10.87 hours of total PA per week, whereas participants with depressive symptoms engaged in 8.82 hours (P<.001). No significant associations were seen between the weekly duration of total PA and depressive symptom odds, somatic, or cognitive-affective symptoms (all P>.05). Participants with an increased weekly duration of recreational PA had decreases in depressive symptom odds (adjusted odds ratio [aOR] 0.965, 95% CI 0.944-0.986) and in somatic (adjusted coefficient [aß]=-0.016, 95% CI -0.022 to -0.009) and cognitive-affective (aß=-0.015, 95% CI -0.023 to -0.007) symptoms. When recreational PA was subset by intensity, participants with an increased weekly duration of vigorous-intensity recreational PA had decreases in depressive symptom odds (aOR 0.926, 95% CI 0.883-0.972) and in somatic (aß=-0.021, 95% CI -0.032 to -0.010) and cognitive-affective (aß=-0.022, 95% CI -0.035 to -0.009) symptoms. However, significant associations were not seen for the weekly duration of work-related, moderate- or vigorous-intensity PAs (all P>.05). CONCLUSIONS: Findings suggest that recreational, not work-related PA is associated with reduced symptoms of depression. Future studies should explore the impact of the different types and contexts of PA on depressive symptomatology.

Consumption of beef sandwiches in the United States and contributions to intake of energy and select nutrients.

Introduction: Sandwiches are commonly consumed in the United States. This study summarizes contributions of beef sandwiches to energy and select nutrient intakes. Methods: Beef sandwiches were categorized as beef burger sandwiches (hamburgers or cheeseburgers) and non-burger beef sandwiches. Per capita and per user consumption of beef sandwiches (total and by type) and contributions to total nutrient intakes from beef and non-beef sandwich components were estimated for the population ages ≥2 years (n = 15,984) participating in WWEIA/NHANES, 2013-2016. Results: On any given day, 21.4% of the population consumed a beef sandwich. Among all Americans, beef sandwiches provided 6.3% of mean energy intake and accounted for approximately 10% of the population's mean intake of vitamin B12 and saturated fat, 9% of protein and sodium, 7% of iron, 6% of choline, and 5% of potassium. Among beef sandwich consumers, beef sandwiches accounted for 26.2% of mean energy intake on a day of consumption. The beef component of sandwiches accounted for the majority of vitamin B12, choline, and protein, non-beef components accounted for the majority of sodium, iron, and potassium, and beef and non-beef components made similar contributions to saturated fat. Hamburgers provided consumers the lowest energy, sodium, and saturated fat intake, while non-burger sandwiches provided the highest intake of these nutrients. Discussion: Beef sandwiches are an important source of energy, protein, vitamin B12, iron, and choline, and like other sandwiches, are also a source of sodium and saturated fat. Americans could enhance nutrient contributions from sandwiches by selecting lean meat and limiting use of saturated fat- or sodium-rich non-beef components.

Effect of statin use on liver enzymes and lipid profile in patients with non-alcoholic fatty liver disease (NAFLD).

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is an independent risk factor for cardiovascular disease (CVD). Statins are recommended for treatment of dyslipidemia to reduce the overall cardiovascular risk in patients with NAFLD. However, statin treatment was underutilized and the effect of statins on liver enzymes remained unclear in this patient population. OBJECTIVES: This study aimed to provide real-world evidence of the safety and effect of statin use in patients with NAFLD. METHODS: We conducted a cross-sectional survey study of adults with NAFLD using pooled data from the US NHANES database 2009-2018. NAFLD was defined by Fatty Liver Index (FLI) ≥ 60 and United States Fatty Liver Index (USFLI) ≥ 30. Multivariate regression analyses adjusted for baseline clinical and demographic characteristics were performed to compare the liver enzymes and lipid profile between statin and non-statin users. RESULTS: The study included 2,533 adults with NAFLD, representing 22.6 million individuals in the US, with 27% receiving statin treatment between 2009 and 2018. The mean differences of liver enzymes for AST, ALT, ALP, and GGT between statin and non-statin users were -0.86 (p=0.539), -3.49 (p=0.042), -0.25 (p=0.913), and 0.57 (p=0.901), respectively. In individuals with NAFLD and dyslipidemia, total cholesterol and LDL levels were significantly lower in statin users compared to non-statin users (mean difference, -28.9; p<0.001 and -27.7; p<0.001). CONCLUSION: The use of statins was not associated with elevated liver enzymes in patients with NAFLD. Significantly lower levels of ALT, total cholesterol, and LDL were observed in statin users compared to non-statin users.

Dietary Flavonoid and Subclass Intakes are not Associated with Markers of Bone Health in U.S. Adults Age 50+ Years.

BACKGROUND: Dietary flavonoid intakes have been associated with improved markers of bone health in Chinese and Scottish cohorts, but little data exist in middle aged to older adults in the United States. OBJECTIVES: The objective of our research was to assess if dietary flavonoid intakes are associated with bone mineral density (BMD), bone mineral content (BMC), and bone area of the lumbar spine and femoral neck in a nationally representative population of middle aged to older U.S. adults. We further sought to investigate if relationships of the main flavonoid subgroups (i.e., anthocyanins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones) exist, as a secondary objective. METHODS: Cross-sectional data from individuals aged 50+ years enrolled in the 2017-2018 National Health and Nutrition Examination Survey (NHANES) were used in our analyses (N = 2590). Weighted multivariate logistic regression models were used to investigate the relationship between quartiles of flavonoid intake and BMD, BMC, and bone area of the lumbar spine and femoral neck of participants. RESULTS: Mean age of participants was 63.4 ± 0.52 years and 64.1 ± 0.52 years for men and women, respectively. Average total flavonoid intake was 217 ± 19.4 mg/day and 306 ± 26.9 mg/day for men and women, respectively. Total flavonoid intakes were not significantly associated with BMD, BMC, or bone area of the femoral neck or lumbar spine in male or female participants. Flavonoid subclass intakes were also not consistently associated with improved markers of bone health. CONCLUSION: Although several limitations exist, this cross-sectional analysis of U.S. adults aged 50+ years provides contradictory evidence to the hypothesis that higher flavonoid and flavonoid subclass intakes beneficially impacts markers of bone health. Large prospective cohort investigations that better capture long-term dietary flavonoid intake and ascertain fractures the primary outcome, as well as randomized controlled trials, are needed to fully elucidate the effects flavonoids on bone health.

Associations Between Body Weight Dissatisfaction and Diet Quality in Women With a Body Mass Index in the Healthy Weight Category: Results From the 2014-2015 Swiss National Nutrition Survey.

BACKGROUND: Few studies have examined whether diet quality is lower in women with body weight dissatisfaction compared with women without body weight dissatisfaction. OBJECTIVES: (1) Examine the association between body weight dissatisfaction and diet quality among women (18-65 years old) in the healthy weight body mass index (BMI) category, and (2) explore dietary and behavioral patterns among women with body weight dissatisfaction. DESIGN: Data were extracted from the cross-sectional 2014-2015 Swiss National Nutrition Survey. PARTICIPANTS/SETTING: Population-based sample of 507 women with BMI ≥ 18.5 and < 25. OUTCOME MEASURES: Dietary intakes assessed by registered dietitians using 2 nonconsecutive computer-assisted multi-pass 24-hour dietary recalls. Diet quality was measured with a slightly modified version of the Healthy Eating Index (HEI)-2020. STATISTICAL ANALYSES PERFORMED: Multiple linear regressions were performed to test the association between body weight dissatisfaction and total HEI-2020 score. Hierarchical cluster analysis was used to identify subgroups of women with body weight dissatisfaction. RESULTS: Body weight dissatisfaction was not found to be associated with diet quality (ß = -1.73 [-4.18; 0.71], P = .16). However, women who were dissatisfied with their body weight had lower scores for the HEI-2020 total fruits (P = .050) and whole grains (P = .014) components than women who were satisfied with their body weight. Four profiles with different dietary patterns were identified among women with body weight dissatisfaction: "Unhealthy diet with dairy," "Protein and fat," "Vegetables without protein," and "Healthier diet without dairy." CONCLUSIONS: Among women with a BMI in the healthy weight category, overall diet quality was not observed to differ between those with or without body weight dissatisfaction. More research is needed to explore the different profiles of dietary intake in women with body weight dissatisfaction.

The impact of long working hours on daily sodium intake.

Background: Long working hours are associated with an increased risk of cardiovascular disease, yet the underlying mechanism(s) remain unclear. The study examines how occupational factors like working hours, shift work, and employment status correlate with dietary choices and sodium intake, impacting hypertension risk. Methods: This study used data from the Korea National Health and Nutrition Examination Survey conducted between 2013 and 2020. The dataset included 8,471 respondents, all of whom were wage workers aged 20 or older and reported working at least 36 hours per week. Individuals who have been previously diagnosed with or are currently diagnosed with hypertension, diabetes, or dyslipidemia were excluded. The average daily sodium intake was assessed via a 24-hour dietary recall method. Average weekly working hours were categorized into 3 groups: 36-40 hours, 41-52 hours, and over 52 hours. Multiple logistic regression models were used. Results: Study findings revealed that 83.7% of participants exceeded the recommended daily sodium intake of 2 g set by the World Health Organization. After adjusting for confounding factors, a positive correlation was observed between average working hours and daily sodium intake. Among males, statistical significance was found in the group with average weekly working hours of 41-52 hours (prevalence ratio [PR]: 1.17; 95% confidence interval [CI]: 1.05-1.30) and the group exceeding 52 hours (PR: 1.22; 95% CI: 1.09-1.38) when comparing the fourth quartile of daily sodium intake to the combined quartiles of Q1, Q2, and Q3. Among females, no significance was noted. Conclusions: Long working hours were associated with increased sodium intake, primarily among male workers. This connection is likely attributed to having less time for home-cooked meals, resulting in higher fast food consumption and dining out. A workplace intervention promoting healthy eating and reducing stress is essential to lower sodium consumption and mitigate hypertension risk.

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.

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.