Asunto(s)

RESUMEN

NAFLD has emerged as a significant public health concern, with its prevalence increasing globally. Emphasizing the complex relationship between dietary patterns and epigenetic modifications such as DNA methylation or miRNA expression can exert a positive impact on preventing and managing metabolic disorders, including NAFLD, within the 2030 Sustainable Development Goals. This review aims to evaluate the influence of dietary patterns on hepatic epigenetic gene modulation and provide dietary recommendations for the prevention and management of NAFLD in the general population. METHODS: Comprehensive screening and eligibility criteria identified eleven articles focusing on epigenetic changes in NAFLD patients through dietary modifications or nutrient supplementation. RESULTS AND DISCUSSION: Data were organized based on study types, categorizing them into evaluations of epigenetic changes in NAFLD patients through dietary pattern modifications or specific nutrient intake. CONCLUSIONS: The study highlights the importance of dietary interventions in managing and preventing NAFLD, emphasizing the potential of dietary patterns to influence hepatic epigenetic gene modulation. This study provides valuable insights and recommendations to mitigate the risk of developing NAFLD: (i) eat a primarily plant-based diet; (ii) increase consumption of high-fiber foods; (iii) consume more polyunsaturated and monounsaturated fatty acids; (iv) limit processed foods, soft drinks, added sugars, and salt; and (v) avoid alcohol.

Asunto(s)

RESUMEN

BACKGROUND: The global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults. METHODS: The sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM. RESULTS: The prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98; p = 0.028) and a C4 dietary pattern (OR, 0.70; 95% CI, 0.51-0.97; p = 0.034) significantly reduced the prevalence of CMM compared with the C1 dietary pattern. CONCLUSIONS: Rural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.

Asunto(s)

RESUMEN

Metabolic syndrome has become a significant public health concern. This study aims to investigate the impact of dietary patterns on metabolic syndrome in young adults and how physical activity modulates this effect. A cross-sectional study was conducted at a health management center in Tianjin, China, from September 2022 to March 2023. Participants aged 18-35 years were recruited using convenience sampling. Dietary intake was assessed using a validated food frequency questionnaire. Logistic regression models evaluated associations between these patterns and metabolic syndrome, adjusting for potential confounders. Among 442 participants, four dietary patterns were identified: Legume-Nut, Alcohol-Meat, Sugar-Processed, and Egg-Vegetable. The Legume-Nut dietary pattern was associated with a higher risk of metabolic syndrome (OR = 2.63, 95% CI: 1.08-6.37), while the Egg-Vegetable dietary pattern was associated with a lower risk (OR = 0.26, 95% CI: 0.10-0.70). No significant associations were found for the Sugar-Processed and Alcohol-Meat patterns. Subgroup analysis revealed that the Legume-Nut pattern increased the risk of metabolic syndrome among those with irregular physical activity, whereas the Egg-Vegetable pattern decreased the risk. These findings highlight the significant influence of dietary patterns on the risk of metabolic syndrome in young adults and the modifying effect of regular physical activity, underscoring the need for targeted dietary and lifestyle interventions to prevent metabolic syndrome in this population.

Asunto(s)

RESUMEN

This study aimed to investigate the effect of Japanese dietary patterns on metabolic dysfunction-associated steatotic liver disease (MASLD) and liver fibrosis. After excluding factors affecting the diagnosis of hepatic steatosis, 727 adults were analyzed as part of the Health Promotion Project. The dietary patterns of the participants were classified into rice, vegetable, seafood, and sweet based on their daily food intake. Liver stiffness measurements and controlled attenuation parameters were performed using FibroScan. Energy and nutrient intake were calculated using the Brief-type Self-administered Diet History Questionnaire. Univariate and multivariate analyses were used to identify the risk factors for liver fibrosis within the MASLD population. The vegetable group had significantly lower liver fibrosis indicators in the MASLD population than the rice group. The multivariate analysis identified a body mass index ≥ 25 kg/m2 (odds ratio [OR], 1.83; 95% confidence interval [CI], 1.01-1.83; p = 0.047) and HOMA-IR ≥ 1.6 (OR, 3.18; 95% CI, 1.74-5.78; p < 0.001) as risk factors for liver fibrosis, and vegetable group membership was a significant low-risk factor (OR, 0.38; 95% CI, 0.16-0.88; p = 0.023). The multivariate analysis of nutrients in low-risk foods revealed high intake of α-tocopherol (OR, 0.74; 95% CI, 0.56-0.99; p = 0.039) as a significant low-risk factor for liver fibrosis. This study suggests that a vegetable-based Japanese dietary pattern, through the antioxidant effects of α-tocopherol, may help prevent liver fibrosis in MASLD and the development of MASLD.

Asunto(s)

RESUMEN

BACKGROUND & AIMS: Limited research exists on the association between dietary patterns (DP) and COPD risk or health-related outcomes. We reviewed existing literature to identify DP as a potential factor influencing COPD development and associated health outcomes in diagnosed individuals. METHODS: We followed the Joanna Briggs Institute methodology for this scoping review, conducting searches on PubMed, Scopus, Embase, and Web of Science to identify studies meeting our inclusion criteria (P, population - adults from the general population with or without COPD diagnosis; C, concept - DP; C, context - any setting). Two reviewers screened titles and abstracts, confirmed eligibility through full-text examination, extracted data using Redcap®, and assessed bias risk with the Newcastle Ottawa Scale. RESULTS: We analyzed 24 studies with sample sizes ranging from 121 to 421,426 individuals aged 20 to 75. Eighty-three percent investigated the role of DP in the COPD etiology, while 16.7 % examined health-related COPD outcomes. Food frequency questionnaires predominated (75 %) in exploring 23 distinct DP. Sixty-seven percent employed a priori-defined DP, focusing on the Mediterranean Diet (MedDiet) and Healthy Eating Index (HEI), while 33.3 % utilized a posteriori-defined DP, mainly represented by the Prudent and Traditional DP. Sixty percent of the studies reported significant associations between DP and COPD risk/odds. However, studies examining DP and COPD patient outcomes produced varied results. CONCLUSIONS: Most studies focused on assessing COPD risk using a priori-defined DP, particularly emphasizing the Med Diet and HEI. Overall, the studies found that healthy DPs are associated with reduced risk of COPD and improved outcomes in diagnosed patients.

Asunto(s)

RESUMEN

This study aimed to identify the dietary patterns of Brazilian children aged 6-23 months and to investigate their association with maternal socio-demographic factors. Data from the 2019 Brazilian National Health Survey were used in this cross-sectional study. Mothers of 1616 children aged 6-23 months reported on their children's dietary intake. Dietary patterns were identified using principal component analysis, and their associations with maternal socio-demographic characteristics were assessed using linear regression models. The first consisted of healthy patterns and the second, unhealthy ones. Linear regression showed that adherence to a healthy dietary pattern was higher among children of mothers who were older (ß = 0.02, p = 0.01), had more years of education (ß = 0.49, p = 0.04), reported living with a partner (ß = 0.29, p = 0.01), and resided in an urban area (ß = 0.35, p = 0.01). Conversely, adherence to the unhealthy pattern was positively associated with mothers who declared themselves as black or brown (ß = 0.25, p = 0.03). Our results show that older mothers with higher levels of education and paid work and who live with a partner are more likely to contribute to their children's healthy eating patterns. We conclude that socio-demographic factors may influence the quality of the food offered to children. Nevertheless, advocating for public policies promoting nutritious complementary diets emphasising fresh and minimally processed foods remains crucial for children whose mothers do not possess these favourable socio-demographic characteristics.

Asunto(s)

RESUMEN

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.

Asunto(s)

RESUMEN

OBJECTIVE: To identify dietary patterns and analyze factors associated with the consumption profile of socially vulnerable children, Maceió, state of Alagoas, Brazil, August 2019 to December 2021. METHODS: This was a cross-sectional study; sociodemographic, anthropometric and food consumption variables were collected, factor analysis was used to identify dietary patterns; associations were analyzed using Poisson regression. RESULTS: Among the 567 children studied, two dietary patterns were identified, healthy and unhealthy; age ≥ 24 months (PR = 2.75; 95%CI 1.83;4.14), male gender (PR = 0.66; 95%CI 0.49;0.87) and maternal schooling ≤ 9 years (PR = 0.61; 95%CI 0.46;0.81) was higher in the healthy pattern; the unhealthy pattern was associated with age ≥ 24 months (PR = 1.02; 95%CI 1.01;1.03) and male gender (PR = 1.46; 95%CI 1.08;1.98). CONCLUSION: The healthy pattern was more frequent in children aged ≥ 24 months, less frequent in male children and mothers with low level of schooling; children aged ≥ 24 months and males showed a higher prevalence of the unhealthy pattern. MAIN RESULTS: Two dietary patterns were defined, healthy and "unhealthy", which were associated with male gender, age ≥ 24 months and maternal schooling ≤ 9 years of study. IMPLICATIONS FOR SERVICES: The study data can assist health professionals dedicated to primary healthcare services, such as nutritionists, in planning interventions to promote healthy eating habits aimed at children. PERSPECTIVES: Prospective studies with these populations are necessary to assess the causality of the associations found in this study, aiming to plan more effective public health actions.

Asunto(s)

RESUMEN

Promoting optimal nutrition in pregnant and lactating women is crucial for maternal and infant health. This study evaluated their nutritional status and dietary habits, assessing macro and micronutrient intake based on recommendations. A descriptive study with Spanish participants examined social, obstetric, dietary, and anthropometric data using quantitative and qualitative methods. The analysis of fatty acids by gas chromatography revealed significant variability, with notable deviations in specific fatty acids like C:10:0 and C:12:0. Despite some differences, the overall composition aligns with standards. During pregnancy, 53.8% consumed five meals/day. Grilling (92.3%) and baking (76.9%) were common. Food consumption frequency differed from recommendations. Lactating mothers' mean energy intake was 2575.88 kcal/day ± 730.59 standard deviation (SD), with 45% from carbohydrates and 40% from lipids, including 37.16 g ± 10.43 of saturated fatty acids. Diets during pregnancy lacked fruits, vegetables, legumes, nuts, and cereals. Lactating mothers partially met nutritional objectives, with an energy distribution skewed towards lipids and deficiencies in calcium, iodine, vitamin D, E, and folic acid. Promoting proper nutrition during pregnancy and lactation is essential to safeguard health and prevent chronic diseases.

Asunto(s)

RESUMEN

OBJECTIVES: The obesity prevalence in South Korea in 2021 stood at 38.4%. South Korea faces unique challenges in providing essential and emergency guidelines for weight management because of stepping into an aging society. We aimed to determine the daily diet patterns among the general Korean population and to investigate the association between such patterns and different obesity. STUDY DESIGN: Longitudinal prospective cohort study. METHODS: A total of 6539 adult participants (mean age 50.8 years, 52.9% male) with normal-weight adults were included from the Ansan-Ansung cohort of 10,030 Korean adults aged 40 or older and followed for an average of 11 years. Obesity was defined according to the criteria from the Korean Society for The Study of Obesity. Baseline dietary intake was assessed using a validated 103-item food frequency questionnaire. Dietary patterns were derived from k-means cluster analysis. RESULTS: In the multivariate analysis, referring to white rice + baechu kimchi, participants from multigrain rice + baechu kimchi showed lower HR for obesity development (waist circumference defined-obesity; HR: 0.87, 95% CI: 0.79, 0.95; body fat percentage defined-obesity; HR: 0.89, 95% CI: 0.80, 0.98). Further analysis documented that except for body fat percentage defined-obesity, consuming milk or dairy products was linked to a reduced incidence of the other three obesity (body mass index defined-obesity; HR: 0.84, 95% CI: 0.72, 0.99; waist circumference defined-obesity; HR: 0.82, 95% CI: 0.71, 0.94; waist-to-hip ratio defined-obesity; HR: 0.75, 95% CI: 0.61, 0.91). CONCLUSIONS: Following a diet that includes multigrain rice, fermented baechu kimchi, and dairy products is linked to a decreased risk of obesity in Korean adults. Public health programs and policies could incorporate these dietary recommendations, targeting specific population groups such as schoolchildren, adults, and the elderly. Additionally, further research is needed to explore the synergistic effects of various foods and their interactions within dietary patterns on obesity outcomes.

Asunto(s)

RESUMEN

Diet play an important role in the development of cancer. A lot of research has been done on the role of individual nutrients or phytochemicals and cancer risk. Both harmful and beneficial associations of this nutrient have been observed with cancer. However, there is an interaction of individual dietary constituents to influence disease risk. On the other hand, examining the diet as a whole as is done in dietary patterns research may produce more accurate estimates and data that can be more easily translated into dietary recommendations. Dietary patterns and cancer research are becoming increasingly common in the epidemiology literature, and novel dietary patterns are being generated at a rapid pace. However, major issues remain over whether one general "healthy" dietary pattern can be suggested for cancer prevention or whether several diets should be advocated for different forms of cancer protection. It is challenging to study typical human diet in animal model that is appropriate for cancer prevention. Some dietary patterns, such as the ketogenic diet or macronutrient composition alteration, have been investigated more extensively in animal models than in humans in terms of cancer prevention, and bigger human observational studies are now needed to advise dietary guidelines. The question of whether to adapt nutritional guidelines to population subgroups based on susceptibility factors (for example, family history, sex, age, other lifestyle factors or comorbidities, metabolomics signatures, or microbiota-based profiles) is still open and will be crucial in moving the field forward.

Asunto(s)

RESUMEN

Evidence regarding the role of dietary patterns in metabolic syndrome (MetS) is limited. The mechanistic links between dietary patterns, insulin resistance, and MetS are not fully understood. This study aimed to evaluate the associations between dietary patterns and the risk of MetS in a Chinese population using a longitudinal design. Data from the China Health and Nutrition Survey, a nationally representative survey, were analyzed. MetS cases were identified based on biomarker data collected in 2009. Factor analysis was employed to identify dietary patterns, while logistic regression models were utilized to examine the association between dietary patterns and MetS. Mediation models were applied to assess multiple mediation effects. Two dietary patterns were revealed by factor analysis. Participants in the higher quartiles of the traditional Chinese dietary pattern had lower odds of MetS than those in the lowest quartile (Q1) (OR = 0.58, 95%CI: 0.48, 0.69 for Q4; OR = 0.75, 95%CI: 0.63, 0.89 for Q3). Conversely, participants in the higher quartiles of the modern Chinese dietary pattern had higher odds of MetS compared to those in the lowest quartile (Q1) (OR = 1.40, 95%CI: 1.17, 1.68 for Q4; OR = 1.27, 95%CI: 1.06, 1.52 for Q3). Significant associations between dietary patterns and MetS were mediated by insulin resistance. Therefore, dietary patterns in Chinese adults are associated with MetS, and these associations appear to be mediated through insulin resistance. These findings underscore the critical role of dietary patterns in the development of MetS and establish a foundation for culturally tailored dietary interventions aimed at reducing rates the prevalence of MetS among Chinese adults.

Asunto(s)

RESUMEN

Artificial intelligence chatbots based on large language models have recently emerged as an alternative to traditional online searches and are also entering the nutrition space. In this study, we wanted to investigate whether the artificial intelligence chatbots ChatGPT and Bard (now Gemini) can create meal plans that meet the dietary reference intake (DRI) for different dietary patterns. We further hypothesized that nutritional adequacy could be improved by modifying the prompts used. Meal plans were generated by 3 accounts for different dietary patterns (omnivorous, vegetarian, and vegan) using 2 distinct prompts resulting in 108 meal plans total. The nutrient content of the plans was subsequently analyzed and compared to the DRIs. On average, the meal plans contained less energy and carbohydrates but mostly exceeded the DRI for protein. Vitamin D and fluoride fell below the DRI for all plans, whereas only the vegan plans contained insufficient vitamin B12. ChatGPT suggested using vitamin B12 supplements in 5 of 18 instances, whereas Bard never recommended supplements. There were no significant differences between the prompts or the tools. Although the meal plans generated by ChatGPT and Bard met most DRIs, there were some exceptions, particularly for vegan diets. These tools maybe useful for individuals looking for general dietary inspiration, but they should not be relied on to create nutritionally adequate meal plans, especially for individuals with restrictive dietary needs.

Asunto(s)

Asunto(s)

RESUMEN

BACKGROUND: Diabetes is a major public health problem in Qatar and is associated with an increased risk of depression. However, no study has been conducted in Qatar on the relationship between dietary patterns and depression symptoms in adults. The aim of this study was to assess the association between dietary patterns and depression symptoms among adults with or without diabetes in Qatar. METHODS: A total of 1000 participants from the Qatar Biobank (QBB) were included in this cross-sectional study. Food intake was assessed using a computer-administered food frequency questionnaire (FFQ), and dietary patterns were identified using factor analysis. Depression symptoms were evaluated using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Depression symptoms were present in 13.5% of the sample. Two dietary patterns were identified: "unhealthy" (high consumption of fast food, biryani, mixed dish (chicken/meat/fish), croissant) and "prudent" (high consumption of fresh fruit, salads/raw vegetables, canned/dried fruit, and dates). After adjusting for sociodemographic, lifestyle factors (smoking and physical activity), diabetes and medication use for diabetes and hypertension, a high intake of "unhealthy" pattern was associated with an increased prevalence of depressive symptoms in individuals with diabetes (prevalence ratio, PR = 1.41; 95% CI = 1.28, 1.56; p-value < 0.001), while there was no statistically significant association between depressive symptoms and the "prudent" dietary pattern. The "prudent" pattern was inversely and significantly associated with depressive symptoms in individuals with a normal body weight (PR = 0.21; 95% CI = 0.06, 0.76; p-value = 0.018). CONCLUSION: The "unhealthy" dietary pattern was positively associated with depression symptoms in those with diabetes, whereas the "prudent" dietary pattern was inversely associated with depression symptoms in those with a normal body weight. Promoting healthy eating habits should be considered in the prevention and management of depression.

Asunto(s)

RESUMEN

BACKGROUND: The study of dietary patterns in older adults (OA) and their association with geriatric syndromes (GS) is scarce in Latin America. OBJECTIVE: To describe the association of dietary patterns with GS in the Mexican older adult population, using data from the 2018-19 National Health and Nutrition Survey. METHODS: Dietary data were collected from 3,511 adults (≥60 years of age, both sexes) using a semi-quantitative food frequency questionnaire. Dietary patterns were derived by principal component analysis based on the consumption of 162 foods from 24 food groups. The GS studied were: frailty, depressive symptoms (DS), low appendicular skeletal muscle mass (ASMM); additionally, we studied inflammation (serum CRP>5 mg/L). Logistic regression models were used. RESULTS: Four major dietary patterns were identified: a) "Western", b) "Prudent", c) "Soups", and d) "Traditional". The middle and higher tertiles of the "Prudent" pattern were associated with lower odds of DS (OR 0.71, p = 0.04; and OR 0.61, p = 0.008), respectively. The second tertile of the "Soups" pattern was associated with lower odds of low ASMM (OR 0.68, p = 0031) and inflammation (OR 0.58, p = 0.022). The highest tertile of the "Traditional" pattern was associated with low ASMM (OR 1.55, p = 0.008) and lower odds of inflammation (OR 0.69, p = 0.044). No association was found between the "Western" dietary pattern and GS. CONCLUSIONS: Three of four major dietary patterns were associated with GS in older Mexican adults. Further studies are needed to address strategies to improve diet quality in this age group and its association with health and functional outcomes.

Asunto(s)

RESUMEN

BACKGROUND: With rising obesity rates in Western societies, analyzing changes in dietary patterns is paramount. While nutritional surveys have been informative, traditional cookbooks have historically shed light on national cuisines and its changes. Despite the growing popularity of online platforms for food information, cookbooks might still reflect prevalent dietary trends and the diets people follow. This study examined (1) the changes in nutritional content and food group usage in the best-selling cookbooks from 2008 to 2018, and (2) the correlation between the food groups in these cookbooks and dietary patterns (inferred from household purchases) over the same timeframe. METHODS: An exploratory ecological study was conducted on 20 main course recipes of each of the five best-selling cookbooks in Flanders annually between 2008 and 2018. Trends in macronutrients and food group usage in these recipes were analyzed using generalized linear models. Additionally, these trends were compared to household purchase data in Flanders using correlation matrices. RESULTS: Our results reveal a rising trend towards the use of plant-based ingredients and meat alternatives in cookbooks over the period 2008-2018. There was an increase in the usage of vegetables, nuts & seeds, and cheese. Conversely, there was a decline in the usage of meat, sugar & sweeteners, alcohol, and dairy (all p-values < 0.05). In terms of macronutrient content, there was an upswing in carbohydrate, fibre, and sugar levels, while the total fat content showed a decrease (all p-values < 0.05). The levels of protein and saturated fat remained consistent over time. Notably, shifts in plant-based and animal-based food group preferences in popular cookbook recipes align with the trends seen in actual household purchases of these food groups (all p-values < 0.05). CONCLUSION: These findings indicate that cookbook content evolves over time, potentially reflecting shifts in population dietary patterns. Future research is needed to determine (Buisman ME, Jonkman J. Dietary trends from 1950 to 2010: a Dutch cookbook analysis. J Nutr Sci [Internet]. 2019 ed [cited 2022 Apr 19];8. https://www.cambridge.org/core/journals/journal-of-nutritional-science/article/dietary-trends-from-1950-to-2010-a-dutch-cookbook-analysis/AB281ADE0F09FF8F518B8AC4A2A5BEA8#supplementary-materials ) any causative link between cookbooks and dietary habits, and (Ashwell M, Barlow S, Gibson S, Harris C. National Diet and Nutrition Surveys: the British experience. Public Health Nutr. 2006;9(4):523-30.) the potential for cookbooks to aid in health promotion.

Asunto(s)

RESUMEN

OBJECTIVE: This study aimed to explore obesity phenotypes and investigate their association with dietary patterns. METHODS: Data were obtained from the baseline survey conducted in the China Multi-Ethnic Cohort Study from July 2018 to August 2019. All participants with a body mass index of at least 24 kg/m2 were enrolled and underwent a questionnaire survey, physical examination, and clinical laboratory tests. A two-step cluster analysis was employed to classify the participants into phenotypes. Dietary information was collected using the food frequency questionnaire, and principal component analysis was conducted to identify distinct dietary patterns. RESULTS: We analyzed the data of 8757 participants. They were categorized based on demographic characteristics, biochemical indicators, and anthropometric measurements into two distinct clusters identified as metabolically healthy obesity and metabolically unhealthy obesity (MUO). Key predictors included serum uric acid, sex, and diastolic blood pressure. Subgroup analysis by sex identified three distinct clusters within both male and female participants. The MUO group had the highest prevalence of a range of chronic noncommunicable diseases. The analysis uncovered three unique dietary patterns among participants classified as the premium protein, rice-oil-red meat, and oil-salt patterns. Notably, the MUO subgroup demonstrated significantly higher factor scores for both the rice-oil-red meat and oil-salt patterns. CONCLUSIONS: Obesity phenotypes are closely related to metabolic and demographic characteristics, with serum uric acid being a significant factor in categorizing the metabolic states of obesity. The rice-oil-red meat and oil-salt patterns may be related to the metabolic status of individuals with obesity.

Asunto(s)

RESUMEN

Neurodevelopmental disorders (NDDs), of which Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are two of the most common, are described as a group of conditions that begin in the developmental period and lead to deficits that impair functioning [...].

Asunto(s)