[Methods of a posteriori identification of food patterns in Brazilian children: a systematic review]

Association between Socioeconomic Factors, Food Insecurity, and Dietary Patterns of Adolescents: A Latent Class Analysis

Socioeconomic factors and food insecurity play a fundamental role in the food choices of adolescents, and in addition to influencing access to food, they also have significant effects on dietary patterns. The objectives of this study were to identify the dietary patterns of adolescents through the application of latent class analysis and to evaluate their association with socioeconomic variables and food insecurity. This cross-sectional study was conducted with adolescents aged between 11 and 17 years from public schools. Latent class analysis was used to identify the dietary patterns. Associations between socioeconomic factors, food insecurity and dietary patterns were assessed using multinomial logistic regression (odds ratio (OR); 95% confidence interval (CI)). Among the 1215 participants in the study, four dietary patterns were identified: "Mixed", "Low consumption", "Prudent" and "Diverse". A "Diverse" dietary pattern was associated with a lower economic stratum (OR:2.02; CI:1.26-3.24). There was no association between food insecurity and identified dietary patterns. These results highlight the importance of promoting healthy eating in this age group at all socioeconomic levels, especially the lowest level.

Dietary Patterns during Pregnancy and Gestational Weight Gain: A Systematic Review

The present systematic review (PROSPERO: CRD42020148630) hypothesizes the association of excessive weight gain during pregnancy with dietary patterns composed of ultraprocessed foods. Thus, the objective was to investigate the association between dietary patterns after analysis and weight gain during pregnancy. The search for articles was performed in nine databases. Two reviewers selected the articles in the databases and extracted from them the data used in the review. Two scales were used to evaluate the quality of the selected studies: New Castle-Ottawa Quality Assessment for cohort-based studies and Appraisal tool for Cross-Sectional Studies (AXIS) for cross-sectional-based studies. In total, 11 studies were identified with sample size variation (n = 173-5,733). Women presenting more adherence to healthy and traditional patterns (fruits, vegetables, salads, nuts, and dairy) recorded less excessive gestational weight gain (GWG). Higher intake of mixed patterns and western patterns rich in ultraprocessed foods were associated with a higher prevalence of excessive GWG (24.48-55.20%). Gestational dietary patterns a posteriori-derived that have presented ultraprocessed components rich in fat and sugars presented association with high GWG; healthy and traditional dietary patterns were related to better mother-child health conditions, such as adequate GWG.

Dietary Patterns During Pregnancy and Their Association with Gestational Weight Gain and Anthropometric Measurements at Birth

BACKGROUND

Dietary patterns can influence maternal and child health outcomes. The study aims to characterize dietary patterns during pregnancy as well as to identify their associations with gestational weight gain (GWG) and anthropometric measurements at birth.

METHODS

A minimum sample size of 95 nursing mothers was estimated for this work. Socioeconomic, anthropometric, physical activity, obstetric and food consumption (food frequency questionnaire) data was collected from mothers and their newborns in immediate postpartum (n = 260) at the maternity hospital. Maternal pregestational weight and GWG were self-reported and the neonatal data was obtained from their records. The patterns were derived posteriori by Principal Component Analysis (PCA). Multinomial Logistic Regression and Poisson Regression with Robust Variance were applied.

FINDINGS

Four dietary patterns were derived: "pattern 1", characterized by the consumption of meat and eggs, processed meat, vegetables and olive oil; "pattern 2", consisting of sweets, snacks and cookies; "pattern 3", which includes cereals and breads, coffee and tea, and processed fats; and "pattern 4", characterized by soft drinks, tubers and instant noodles. Together, the dietary patterns account for 49.16% of the total variance for food intake. Higher adherence to "pattern 3" was associated with inadequate birth weight (low and excessive birth weight); while greater adherence to "pattern 2" was associated with lower chances of inadequate GWG.

CONCLUSION

The dietary patterns presented mixed composition and predominance of ultra-processed foods. They were associated with the investigated outcomes, denoting the importance of strategies to promote healthy eating habits during pregnancy in order to avoid possible complications.

Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil

ABSTRACT Objective To identify dietary patterns in an adult population and assess those patterns association with cardiometabolic risk factors. Methods Cross-sectional study conducted with 130 workers of a university in Tocantins, Brazil, aged 20-59 years. Dietary patterns were identified by principal component analysis based on a food frequency questionnaire. Body mass index, waist circumference, blood pressure, fasting glycemia, triacylglycerols, low-density lipoprotein and high-density lipoprotein cholesterol were measured. Multinomial logistic regression was used to assess the association between dietary patterns and cardiometabolic risk factors. Results Three dietary patterns were identified that together explained 78.74% of total variance: healthy, western and fit dietary patterns. In the adjusted model, greater adherence to the healthy pattern was associated with lower fasting glucose values (OR: 0.89; 95%IC: 0.82-0.97; p=0.009) and with higher concentrations of low-density lipoprotein cholesterol (OR: 1.02; 95%IC: 1.00-1.04; p=0.024); the western dietary pattern was associated with higher fasting glucose values (OR: 1.06; 95%IC: 1.00-1.13; p=0.05) and the fit pattern was associated with lower concentrations of low-density lipoprotein cholesterol (OR: 0.98; 95%IC: 0.97-0.99; p=0.048). Conclusion Food was an important risk and protective factor for cardiometabolic changes.

[Factors associated with inflammatory biomarkers in adolescents: analysis by structural equation modeling]

The study aimed to analyze factors associated with inflammatory biomarkers in adolescents. This was a cross-sectional study in 391 adolescents 17-18 years of age in public schools in São Luís, Maranhão State, Brazil. Three-stage random cluster sampling was performed in schools, classes, and students. Food consumption was studied with a food frequency questionnaire, and dietary patterns were extracted by principal components factor analysis. Assessment of factors associated with inflammatory biomarkers used structural equation modeling. Latent variables were constructed: socioeconomic status, which included maternal schooling, family income, and economic class; and inflammation, consisting of interleukin-1β, interleukin-6, and interleukin-8. A theoretical model was developed to assess factors associated with inflammatory biomarkers, indicating direct and indirect effects between the latent and observed variables. Three dietary patterns were identified (Western, basic Brazilian, and healthy), with 31% explained variance and the Western pattern with the largest share. No associations were found between the patterns and the latent variable inflammation (standardized coefficients = 0.281; p = 0.002). Extraction of the three patterns evidenced higher consumption of foods high in carbohydrates and fats, which are nutrients associated directly with the increase in chronic noncommunicable diseases. Excess weight was associated with higher levels of inflammatory biomarkers.

Association between Eating Patterns and Excess Body Weight in Adolescents

Background: Excess body weight is a risk factor for the development of diseases. Adolescence is a nutritionally vulnerable age group that suffers due to influences on food intake. We aimed to identify the main dietary patterns of adolescents to investigate their association with excess body weight. Methods: This was a cross-sectional study. Anthropometric measurements (weight and height) were collected to calculate the BMI. Nutritional statuses were classified according to World Health Organization classification. Food consumption data were obtained through a 24-hour recall and food patterns were identified through factor analyses of the main components. The patterns were categorized into quintiles and dichotomized into greater (fourth and fifth quintile) and lower (first to third quintile) adherences. Binomial regression was used to assess the association between food patterns and excess body weight. The study was conducted in a capital city in Northeast Brazil from adolescents aged between 10 and 19 years in 826 public schools. Results: Three main food patterns were identified in women and men: coffee with bread (white bread, coffee, fat, and eggs), common Brazilian (white rice, beans, meat, pasta, with negative factor load for regional foods), and mixed pattern (sweets, fruits, biscuits and cakes, vegetables, and dairy products). Adolescents with a greater adherence to the coffee and bread pattern [odds ratio (OR) = 0.68; 95% confidence interval (95% CI): 0.50-0.93] and the common Brazilian pattern (OR = 0.72; 95% CI: 0.53-0.99) had a lower chance of being excess body weight than those with lower adherence. Conclusions: Three main eating patterns were identified among adolescents, and greater adherence to the coffee with bread and common Brazilian patterns implied a lower chance of excess body weight.

Association of Dietary Patterns with Cardiovascular and Kidney Phenotypes in an Uruguayan Population Cohort

The impact of habitual diet on chronic diseases has not been extensively characterized in South America. We aimed to identify major dietary patterns (DP) in an adult cohort in Uruguay (Genotype Phenotype and Environment of Hypertension Study—GEFA-HT-UY) and to assess associations with metabolic, anthropometric characteristics, and cardiovascular and kidney phenotypes. In a cross-sectional study (n = 294), DP were derived by the principal component analysis. Blood and urine parameters, anthropometrics, blood pressure, pulse wave velocity, and glomerular filtration rate were measured. Multivariable adjusted linear models and adjusted binary logistic regression were used. Three DP were identified (Meat, Prudent, Cereal and Mate) explaining 22.6% of total variance in food intake. The traditional Meat DP, characterized by red and barbecued meat, processed meat, bread, and soft drinks, was associated with worse blood lipid profile. Prudent DP, characterized by vegetables, fish, and nuts, and lower loads for bread and crackers, was associated with reduced risk of vitamin D deficiency. Cereal and Mate DP, was characterized by higher loads of cereals, bread, and crackers, and mate infusion, with higher odds of excessive body weight. No direct associations of dietary patterns with hypertension, arterial stiffness, chronic kidney disease, and nephrolithiasis were found in the studied population, nor by age categories or sex.

Dietary patterns in a nursing team measured by principal component analysis

OBJECTIVE

To characterize the dietary pattern of nursing professionals at a public hospital in Rio de Janeiro, RJ, Brazil.

METHOD

A sectional study with nursing professionals (nurses, technicians and nursing assistants). Two 24-hour food recall records were applied, totaling 459 foods, being reduced to 24 food groups. Food patterns were identified using the Principal Component Analysis technique, followed by orthogonal varimax rotation. A Scree Plot graph indicated three factors to be extracted and loads > +0.30 were adopted to define dietary patterns.

RESULTS

A total of 309 professionals participated. The sample consisted of 85.8% of female individuals. The patterns were named "traditional" which included rice (0.747), beans (0.702) and meat (0.713); "healthy": vegetables (0.444), greens (0.450), fruits (0.459), bananas and oranges (0.379), and "snacks": sugar (0.661), bread (0.471), cakes and cookies (0.334), non-alcoholic drinks (0.727).

CONCLUSION

The results highlight the "traditional" food pattern of Brazilian food consumption based on the combination of rice, beans and meat. Future studies may investigate the effect of dietary patterns on health outcomes among nursing workers.

[Dietary patterns of elderly Brazilians and associated determinants: a population-based study in the south of Brazil]

This cross-sectional study sought to assess the effect of demographic and socioeconomic factors, chronic diseases, and health counseling on dietary patterns of the elderly. Food consumption was assessed by means of a reduced eating frequency questionnaire distributed to 1,426 elderly residents in Pelotas, State of Rio Grande do Sul, Brazil, and dietary patterns were obtained using main component analysis. Two dietary patterns were identified: healthy diet (wholegrain food, fruits, vegetables, and milk) and Western diet (sweet snacks, fried foods, frozen foods, processed meats, and fast food). Females, non-smokers, and alcohol-free individuals tended more toward the healthy diet, whereas males, smokers, alcohol-dependent, and overweight individuals tended more toward the Western diet. Higher income and schooling were associated with a higher tendency toward both diets, and chronic diseases were not associated with either diet. Receiving counseling for adopting healthy habits was associated with a higher tendency toward a healthy diet and a lower tendency toward the Western diet. There is a need to increase effective guidance on healthy habits by health services to promote healthier eating practices, with special attention to elderly males, smokers, alcohol-dependent and overweight individuals.

An approach on food choice determinants: a study in the restaurants of a public market in Northeastern Brazil

ABSTRACT Objective To identify the main determinants of food consumption among adult users of a public market in a capital of Northeastern Brazil. Methods A total of 198 diners in a public market, constituting a sample comprising 149 males and 49 females over 19 years of age, was interviewed using a pre-tested questionnaires from August 2018 to January 2019. Sociodemographic variables such as gender, age, place of origin, education and income, in addition to the determinants of food choices were evaluated. The analysis was performed using the Wilcoxon test (nonparametric) that compared the means of the dimensions involved in these choices according to gender and income. Results Sensory appeal, price and health were the main determinants of food choices. When compared by gender and income, there were significant differences regarding the attributes reviewed. Conclusion The factors that influenced food choice were: sensory appeal, price and health. Ethical issues were the ones that least interfered with food choice. Thus, such aspects must be taken into account for the development of public policies in the area of collective eating and environmental education. The factors that influenced food choice were: sensory appeal, price and health. Ethical issues were the ones that least interfered with food choice. Thus, such aspects must be taken into account for the development of public policies in the area of collective eating and environmental education.

Association of Dietary Patterns with Excess Weight and Body Adiposity in Brazilian Children: The Pase-Brasil Study

BACKGROUND

Obesity is a multifactorial disease and a serious public health problem. Some of the associated factors are modifiable and, among them, the diet is highlighted.

OBJECTIVE

To evaluate the association of dietary patterns of schoolchildren with obesity and body adiposity.

METHODS

A cross-sectional study was carried out with 378 children aged 8 and 9 years, enrolled in urban schools in the city of Viçosa, Minas Gerais, Brazil. A semi-structured questionnaire was applied to the children and their caregivers on sociodemographic characteristics and life habits. Three 24-hour food recalls were used to identify dietary patterns; the Principal Component Analysis was employed. Weight and height were measured for the calculation of the body mass index (BMI) of the children and their mothers, waist circumference and neck circumference. Body composition was also evaluated through dual-energy X-ray absorptiometry (DXA). For all performed tests, the level of significance was set at 5%.

RESULTS

Five dietary patterns (DP) were identified: "unhealthy", "snacks", "traditional", "industrialized" and "healthy". There was an association between excess weight (prevalence ratio [PR]: 1.38, 95% confidence interval [95%CI]: 1.02 to 1.87) and body fat (PR: 1.32, 95%CI : 1.07 to 1.64) with industrialized DP. There was an association between excess body fat (PR: 1.31, 95%CI: 1.01 to 1.74) and lower adherence to traditional DP. The other patterns were not associated with obesity and body adiposity.

CONCLUSION

Children with excess weight and body adiposity showed greater adherence to the industrialized DP and lower adherence to the traditional DP. We suggest that early assessments of dietary habits should be undertaken for monitoring and modifying these habits when necessary.

Mediterranean food pattern vs. Mediterranean diet: a necessary approach?

"Food pattern" and "diet" sometimes are referred with the same meaning. "Food pattern" can be defined by a priori and a posteriori approaches and refers to the characterisation of foods and frequency of consumption within a population combining with various characteristics. "Diet" may be represented as an individual way of life and considers the food consumption and others like culture, history, society, economy, sustainability, culinary activities, conviviality, physical activity and rest. Mediterranean diet fits on these two concepts. The question is if we are measuring Mediterranean diet as a whole, or whether we are only measuring one of its parts, neglecting the rest of components. Can this compromise the way we monitor its adherence and evolution, with the possibility of losing the perception of certain aspects? How can we preserve and promote the concept if we do not monitor all the pieces of the puzzle?

[Eating patterns among children aged 13 to 35 months and association with maternal characteristics]

This study sought to identify eating patterns among children and to verify their association with maternal characteristics. We studied 1,185 children aged 13 to 35 months. Food consumption was investigated using the 24h dietary recall and the eating patterns were identified using principal components factor analysis, followed by orthogonal varimax rotation. We carried out a hierarchical modeling using poisson regression with robust variance estimates in order to estimate prevalence ratios. We identified four eating patterns: common Brazilian, dairy/porridge, healthy and unhealthy. The variance explained by these factors was of 34.3% and the common Brazilian pattern was the one that most contributed to proportional variance. We highlight the dairy/porridge pattern, in which breast milk had negative factorial loading, suggesting its substitution by cow and modified milk. The data reveal that the characterization of children's eating patterns diverges according to maternal characteristics, such as age, educational level and number of children. Three of the four patterns we found are represented by foods rich in starch, saturated fat and simple sugar and poor in vitamins, minerals and fibers. Multiparity, lower educational levels and maternal age under 20 years were associated with a lower consumption of foods considered to be healthy and important in child development.

Empirically derived dietary patterns through latent profile analysis among Brazilian children and adolescents from Southern Brazil, 2013-2015

The aims of this study were to identify dietary patterns (DPs) of children and adolescents participating in three cross-sectional surveys (2013-2015) and to test their associations with sociodemographic variables, physical activity (PAS), screen-based sedentary activity (SA), and weight status. One-day data were obtained from 5,364 schoolchildren (7-12 years) from public schools of Florianopolis (South of Brazil), using the validated questionnaire Web-CAAFE (Food Intake and Physical Activity of Schoolchildren). DPs were derived from the frequency of daily consumption of 32 foods/beverages by latent profile analysis. Multinomial logistic regression analysis was used to estimate the association of the DPs with sociodemographic variables, physical activity, screen activity and weight status. 'Traditional', 'Monotonous', and 'Mixed' DPs were identified. The percentages of children and adolescents within these profiles were 41.3, 36.3, and 22.4%, respectively. Children and adolescents in the highest tertiles of both PAS and daily frequency of SA had a higher probability to present a 'Mixed' DP compared to peers with less PAS and SA. Children and adolescents who reported having a school meal were significantly more likely to present the 'Traditional'DP, while boys who did not report having a school meal had a higher probability to present the 'Monotonous' DP. The DPs were not associated with the year of survey, age, family income, or weight status.

Identificação de padrões alimentares: comparação das técnicas de análise de componentes principais e de principais eixos fatoriais

RESUMO: Introdução: O padrão alimentar tem como base conceitual o fato de que os alimentos consumidos em conjunto são tão importantes quanto o consumo de alimentos ou nutrientes isoladamente. Objetivos: Identificar padrões alimentares em amostra de profissionais de enfermagem e explorar a diferença entre os padrões encontrados, utilizando para isso duas técnicas: componentes principais (CP) e principais eixos fatoriais (PAF). Método: O presente estudo foi baseado nos dados de 309 participantes de enfermagem de um hospital público do Rio de Janeiro. Foi utilizado o recordatório alimentar de 24 horas, resultando em 24 grupos alimentares. Para identificar os padrões alimentares, foram aplicadas as técnicas CP e PAF, seguidas da rotação ortogonal Varimax. Resultados: O gráfico de Cattell indicou três fatores a serem extraídos. A comunalidade variou de 0,41 a 0,76, considerando cargas maiores do que 0,30 na composição do padrão. Os dois métodos identificaram padrões alimentares semelhantes, destacando o primeiro padrão, tradicional, nas duas técnicas. Os outros dois padrões foram nomeados de saudável e lanche, tendo posição inversa nas técnicas aplicadas. Conclusão: As diferenças observadas referem-se: ao número de grupos alimentares que entram na composição dos componentes e dos fatores; à magnitude das cargas menores com PAF e à ordem dos padrões alimentares, especialmente aqueles derivados com cargas de menor magnitude. Essas diferenças, entretanto, parecem não impactar na interpretabilidade dos padrões alimentares nessa população.

"Traditional" and "Healthy" Dietary Patterns Are Associated with Low Cardiometabolic Risk in Brazilian Subjects

This study aimed at determining the dietary patterns and investigating their association with cardiometabolic risk markers in a brazilian population at risk. This transversal study was carried out with data of 265 patients (n = 123 M/172 W, age 42 ± 16 years) of the Cardiovascular Health Care Program-PROCARDIO-UFV, Brazil-who had their first appointment between 2012 and 2017. A 24-hour recall was applied. The dietary patterns were determined by Principal Component Analysis. Anthropometric, clinical-metabolic, sociodemographic, and lifestyle data were collected through medical record analysis. Five patterns were identified: "Traditional", "Caloric", "Unhealthy", "Healthy," and "Healthy Snacks". In bivariate analysis, the "Healthy" pattern was negatively associated with WC (waist circunference), BMI (body mass index), WHR (waist-to-hip ratio), SBP (systolic blood pressure), fasting glucose, TG/HDL, LDL/HDL, and TG/HDL values and positively to HDL. The "Traditional" pattern was positively associated with adiposity indicators (WC, BMI, and WHR) and negatively associated with body fat, TyG (triglyceride-glucose index), HDL, and LDL (P < 0.05). However, in adjusted models of Poisson regression, individuals with positive factor score (higher adherence) in the "Traditional" and "Healthy" patterns had less occurrence of abdominal obesity (PR 0.85; 95% CI 0.74-0.99/PR 0.88; 95% CI 0.02-0.76), as well as dyslipidemia (PR 0.06; 95% CI 0.02-0.51/PR 0.03; 95% CI 0.01-0.27), diabetes (PR 0.05; 95% CI 0.01-0.45/PR 0.02; 95% CI 0.01-021), and hypertension (PR 0.06; 95% CI 0.02-0.50/PR 0.02; 95% CI 0.01-0.21). A greater adherence to the "Healthy" pattern was associated with lower values to cardiometabolic risk markers and less occurrence of chronic diseases, while the "Traditional" pattern presented contradictory results.

Dietary Pattern and Macronutrients Profile on the Variation of Inflammatory Biomarkers: Scientific Update

It is known that the dietary pattern and macronutrients profile may influence the expression and secretion of inflammatory biomarkers, and the low-grade inflammation is associated with the manifestation of noncommunicable chronic diseases. Therefore, this review aimed to present and discuss the role of dietary patterns and macronutrients on the variation of inflammatory markers related to NCD risk. Scientific evidences within the last five years based on clinical trials, case-controls, cohorts, and cross-sectional studies indicate that normocaloric, carbohydrate-moderated, low-glycemic index, protein-moderated, monounsaturated and polyunsaturated fatty acid-rich, omega-3, and low-saturated fat diets display positive effects on the inflammatory state, both in healthy individuals and in those with cardiovascular risk, although the second group seems to benefit more from changes in the dietary profile.

Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption

Background

Principal component analysis (PCA) is a widely used exploratory method in epidemiology to derive dietary patterns from habitual diet. Such dietary patterns seem to originate from intakes on multiple days and eating occasions. Therefore, analyzing food intake of study populations with different levels of food consumption can provide additional insights as to how habitual dietary patterns are formed.

Objective

We analyzed the food intake data of German adults in terms of the relations among food groups from three 24-h dietary recalls (24hDRs) on the habitual, single-day, and main-meal levels, and investigated the contribution of each level to the formation of PCA-derived habitual dietary patterns.

Design

Three 24hDRs were collected in 2010-2012 from 816 adults for an European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam subcohort study. We identified PCA-derived habitual dietary patterns and compared cross-sectional food consumption data in terms of correlation (Spearman), consistency (intraclass correlation coefficient), and frequency of consumption across all days and main meals. Contribution to the formation of the dietary patterns was obtained through Spearman correlation of the dietary pattern scores.

Results

Among the meals, breakfast appeared to be the most consistent eating occasion within individuals. Dinner showed the strongest correlations with "Prudent" (Spearman correlation = 0.60), "Western" (Spearman correlation = 0.59), and "Traditional" (Spearman correlation = 0.60) dietary patterns identified on the habitual level, and lunch showed the strongest correlations with the "Cereals and legumes" (Spearman correlation = 0.60) habitual dietary pattern.

Conclusions

Higher meal consistency was related to lower contributions to the formation of PCA-derived habitual dietary patterns. Absolute amounts of food consumption did not strongly conform to the habitual dietary patterns by meals, suggesting that these patterns are formed by complex combinations of variable food consumption across meals. Dinner showed the highest contribution to the formation of habitual dietary patterns. This study provided information about how PCA-derived dietary patterns are formed and how they could be influenced.

Changes in Dietary Patterns from Childhood to Adolescence and Associated Body Adiposity Status

The aims of this study were to identify cross-sectional dietary patterns (DPs) in a representative sample of 7–10-year-old schoolchildren, to examine how scores for these DPs tracked over a time period of five years (from age 7–10 years to 12–15 years), and to investigate longitudinal associations between changes in DPs scores and changes in BMI (Body Mass Index) z-scores. Children aged 7–10-years were examined in 2007 (n = 1158) and a subset of the sample participated in a follow-up in 2012 (n = 458). Factor analysis (FA) was applied to derive DPs at baseline. The change in DP from childhood to adolescence was analyzed by comparing factor scores using the complete cases, in which factor loadings were the ones evaluated at baseline. Associations of BMI change with DP change were assessed by multivariate linear regression. At baseline, four DP were identified that explained 47.9% of the food intake variance. On average, the factor scores of “DP II” (salty snacks, French fries, fast-food, sugary beverages) decreased in follow-up, while no changes were observed for “DP I” (rice, cooked beans, beef/poultry, leafy vegetables), “DP III” (fruits, cooked and leafy vegetables, fruit juices, pasta, milk, cheese), and “DP IV” (milk, coffee with milk, cheese, breads/biscuits). No significant linear association was shown between changes in BMI z-scores and changes in DP scores from childhood to adolescence. In conclusion, three out of four DP scores identified at baseline tracked slightly in adolescence.

Food consumption pattern and obesity in preschool children in Feira de Santana, Bahia, Brazil

ABSTRACT Objective To evaluate the association between food consumption patterns and obesity in preschool children in Feira de Santana, Bahia, Brazil. Methods Cross-sectional, population-based nested within a live-birth cohort study of 813 children, which has started in 2004 in Feira de Santana, Bahia. The anthropometric status among children under four years of age was evaluated based on their body mass index; obesity/severe obesity was defined as a Z-score >+2. The Food Frequency Questionnaire was used to identify dietary patterns using principal components analysis. The association between obesity and food consumption patterns was assessed using Pearson’s Chi-squared test and logistic regression, adopting p<0.05 to denote statistical significance. Results Obesity was detected in 12.7% of the children investigated. Four food consumption patterns were identified: dietary pattern 1 (milk and other dairy products, vegetables and tubers, cereals, legumes, fruits, and fish); dietary pattern 2 (deep-fried or baked snacks, soft drinks/artificial fruit juices, oils and fats, sweets, and coffee/tea); dietary pattern 3 (encased meats, fast food, ketchup/mayonnaise, and eggs); and, dietary pattern 4 (chicken and red meats). Obesity was statistically associated with high adherence to the dietary pattern 3 (OR=1.92; 95%CI=1.01-3.66). Conclusion The results obtained showed that the high intake of energy-dense foods (dietary pattern 3) was a contributing factor to childhood obesity. These data reinforce the need for public policies and food education programs in health units and schools, aiming to change children’s eating habits, significant predictors of nutritional problems.

Association between dietary pattern and cardiometabolic risk in children and adolescents: a systematic review

OBJECTIVE

To evaluate the association between dietary patterns and cardiometabolic risk factors in children and adolescents.

DATA SOURCE

This article followed the recommendations of PRISMA, which aims to guide review publications in the health area. The article search strategy included searches in the electronic databases MEDLINE via PubMed, Scopus, and LILACS. There was no date limitation for publications. The descriptors were used in English according to MeSH and in Portuguese according to DeCS. Only articles on dietary patterns extracted by the a posteriori methodology were included. The question to be answered was: how much can an "unhealthy" dietary pattern influence biochemical and inflammatory markers in this population?

DATA SYNTHESIS

The studies showed an association between dietary patterns and cardiometabolic alterations. The patterns were characterized as unhealthy when associated to the consumption of ultraprocessed products, poor in fiber and rich in sodium, fat, and refined carbohydrates. Despite the associations, in several studies, the strength of this association for some risk markers was reduced or lost after adjusting for confounding variables.

CONCLUSION

There was a positive association between "unhealthy" dietary patterns and cardiometabolic alterations in children and adolescents. Some unconfirmed associations may be related to the difficulty of assessing food consumption. Nevertheless, studies involving dietary patterns and their association with risk factors should be performed in children and adolescents, aiming at interventions and early changes in dietary habits considered to be inadequate.

Padrões alimentares de escolares: existem diferenças entre crianças e adolescentes?

Resumo Objetivo Identificar padrões alimentares de crianças e adolescentes de escolas públicas e verificar a associação destes com a faixa etária, o sexo, o município de residência e a classe econômica. Método Estudo transversal com escolares de cinco a 19 anos, de 10 escolas públicas. Aplicou-se o Formulário de Marcadores do Consumo Alimentar do Sistema de Vigilância Alimentar e Nutricional e a partir deste identificaram-se os padrões alimentares utilizando-se análise de cluster. Na análise estatística, verificou-se a associação dos padrões com faixa etária, sexo, classe econômica e município de residência (teste qui-quadrado de Pearson). Consideraram-se significativos valores de p ≤ 0,05. Resultados A amostra final foi de 631 escolares. Identificaram-se cinco padrões alimentares: “feijão/leite/iogurte” representou o consumo de 23,3% (n = 147); “restrito” representou o de 22,7% (n = 143); “saudável” representou o de 22,0% (n = 139); “industrializado brasileiro” representou o de 17,4% (n = 110) dos escolares; e “misto” representou o de 14,5% (n = 92). Os padrões não se associaram às demais variáveis. Conclusões Identificaram-se cinco padrões alimentares, sendo o saudável associado às crianças e o restrito aos adolescentes.