Association between Eating Patterns and Excess Body Weight in Adolescents

Dietary patterns and biochemical markers related to diabetes mellitus: an association analysis based on data from the Study of Cardiovascular Risk in Adolescents (ERICA)

OBJECTIVE

The aim of this study was to investigate the association between dietary patterns and biochemical markers related to diabetes mellitus (DM): glucose, insulin, glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance index from 35 454 Brazilian adolescents 12 to 17 y of age.

METHODS

Dietary patterns were derived using factor analysis by the principal components method. The data originated from the school-based study ERICA (Study of Cardiovascular Risk in Adolescents) carried out between 2013 and 2014. Linear regression models analyzed the associations.

RESULTS

Three dietary patterns were found: traditional Brazilian, bread and coffee, and Western. An inverse association was found in young girls between the traditional Brazilian pattern and fasting glucose (β = -0.76; P = 0.005) and HbA1c in the second and third tertiles (β = -0.04; P = 0.002; β = -0 .06; P < 0.001), and the Western pattern with HbA1c (β = -0.02; P = 0.035). In boys, a positive association was found between the second tertile of the dietary pattern and insulin (β = 0.48; P = 0.009) and homeostasis model assessment of insulin resistance index (β = 0.11; P = 0.012).

CONCLUSIONS

This study showed that the traditional Brazilian pattern was inversely associated with blood glucose and HbA1c values in girls. Furthermore, the data suggest that there is an important difference between boys and girls in the association of dietary patterns and the markers used.

Proposition of an Energy Intake Estimating Scale through Item Response Theory

BACKGROUND

Traditional methods for assessing individual energy consumption often involve lengthy and intricate procedures. This study aims to introduce an Energy Consumption Estimation Scale, utilizing Item Response Theory (IRT) for adolescents aged 18-19 years.

METHODS

This psychometric investigation applies IRT to 93 items extracted from a validated food frequency questionnaire. The study encompasses a representative sample of 2515 adolescents from the São Luís birth cohort in Brazil. The latent trait, energy intake, is derived using IRT and subsequently validated through hierarchical multiple linear regression modeling. Significance was established at p < 0.05.

RESULTS

A Samejima's model was successfully fitted (CFI and TLI > 0.9 and RMSEA < 0.08), effectively capturing variations across all energy consumption levels. Factors associated with the latent trait demonstrate consistent behavioral patterns. Adolescents with higher energy intake exhibited increased consumption of dairy products, artificially sweetened beverages, and seasonal fruits and vegetables.

CONCLUSIONS

The proposed Energy Consumption Estimation Scale demonstrates a reliable measurement of energy intake and serves as a practical and concise alternative for assessing energy consumption among adolescents. These findings suggest the potential for adapting similar models for different age groups and incorporating diverse food items based on the obtained results.

Unhealthy Dietary Patterns and Their Associations with Sociodemographic Factors as Predictors among Underweight and Overweight Adolescents in Southern Thailand

(1) Background: Adolescence is a critical developmental phase; dietary intake and nutritional status significantly impact health outcomes. (2) Objective: This cross-sectional study investigated dietary patterns (DPs) and the association between sociodemographic factors and unhealthy DPs among adolescents in Thailand. (3) Methods: A multi-stage sampling selected 1480 participants from three public high schools in Nakhon Si Thammarat province. A food frequency questionnaire assessed dietary habits, and principal component analysis was used to identify DPs. Multinomial logistic regression examined the association between sociodemographic factors and DPs. (4) Results: The findings show that 25.9% of adolescents were underweight, 14.7% were overweight, and 5.8% were obese. Three DPs were identified: a healthy 'protein and vegetables' pattern and two unhealthy patterns: 'snacks' and 'processed foods', which explained 12.49%, 10.37%, and 7.07% of the dietary variance, respectively. Among underweight adolescents, higher snack consumption was associated with being younger (odds ratio (OR) = 3.24) and receiving a higher daily allowance (OR = 3.43). Additionally, female adolescents who engaged in frequent exercise had a 2.15 times higher intake of processed foods. Among overweight adolescents, higher snack intake was linked to being younger (OR = 8.65) and having larger families (OR = 6.37). Moreover, an increased daily allowance was associated with higher consumption of processed foods (OR = 11.47). (5) Conclusion: This study underscores the socio-demographic influence on unhealthy DPs. Insights can guide targeted interventions to foster healthier dietary habits during adolescence.

Impact of Pasta Intake on Body Weight and Body Composition: A Technical Review

Pasta is a staple carbohydrate across many cultures but has been implicated in overweight and obesity due to its position as a refined carbohydrate. Yet, the unique structure of pasta and its low glycemic response suggest it may contribute to a healthy body weight. The purpose of this review is to summarize the literature on the effects of pasta and dietary patterns high in pasta on body weight and body composition outcomes, and evaluate potential mechanisms by which pasta may influence body weight. A search of PubMed and CENTRAL identified 38 relevant studies examining pasta intake and body weight outcomes or potential mechanisms. Observational studies generally report no association or an inverse association of pasta intake with body weight/body composition outcomes. One clinical trial reported no difference in weight loss between a hypocaloric diet with high intake vs. low intake of pasta. Pasta may influence body weight via its low glycemic response, but evidence of effects on appetite, appetite-related hormones, and gastric emptying is limited and inconclusive. In conclusion, observational and limited clinical data suggest pasta is either inversely or not associated with overweight or obesity in healthy children and adults, and does not contribute to weight gain within the context of a healthy diet.

Association between body weight misperception and dietary patterns in Brazilian adolescents: Cross-sectional study using ERICA data

The association between body image and eating behaviors or weight control strategies has been demonstrated in the scientific literature, but there is a lack of evidence on the association between weight misperception and food consumption indicators in adolescents. This study aimed to evaluate the association between weight misperception and dietary patterns (DPs) in the Brazilian Study of Cardiovascular Risks in Adolescents (ERICA). It was a national school-based cross-sectional study conducted among students aged 12-17 years. Data were collected in the form of anthropometric measurements, responses in self-answered questionnaires, and 24-h dietary recall. The following variables were assessed: weight underestimation and overestimation (independent variables), which were defined as the presence of a disagreement between nutritional status and self-perceived weight; dietary patterns (dependent variables), defined by a posteriori method using principal component factor analysis; and individual and demographic variables (covariates). Data analysis was performed using the Poisson regression models method, stratified by sex. A total of 52,038 adolescents with normal weights were evaluated. The weight misperception prevalence was 34.0% (95% confidence interval [CI]: 33.0, 35.0). Three DPs were identified: "Traditional Brazilian," "Processed meat sandwiches and coffee," and "Ultra-processed and sweet foods." In girls, weight underestimation was directly associated with the "Traditional Brazilian" (1.24; 95% CI: 1.08, 1.43) and "Ultra-processed and sweet foods" DPs (1.29; 95% CI: 1.09, 1.54), and overestimation was inversely associated with all the DPs. In boys, a direct association between underestimation and the "Ultra-processed and sweet foods" DP (1.29; 95% CI: 1.10, 1.51) was found. Overestimation was inversely associated with the "Traditional Brazilian" DP (0.79; 95% CI: 0.63, 0.99). The inverse association between overestimation and the "Traditional Brazilian" DP, and the direct association between underestimation and the "Ultra-processed and sweet foods" DP indicated that weight misperception was related to unhealthy eating habits in Brazilian adolescents.