Patterns of Eating Behavior among 13-Year-Old Adolescents and Associated Factors: Findings from the Generation XXI Birth Cohort

Eating behavior adopted during adolescence may persist into adulthood. The aims of this study were to identify eating behavior patterns among Portuguese adolescents and to explore whether groups differ in terms of early life and family characteristics, severity of depressive symptoms, and body mass index (BMI) z-score. Participants were 3601 13-year-olds enrolled in the birth cohort Generation XXI. Eating behavior was assessed using the self-reported Adult Eating Behavior Questionnaire (AEBQ), validated in this sample. The severity of depressive symptoms was measured through the Beck Depression Inventory (BDI-II), and data on sociodemographic and anthropometrics were collected at birth and 13-years-old. Latent class analysis was conducted, and associations were estimated using multinomial logistic regression models. Five patterns of individuals were identified: Picky eating, Disinterest towards food, Food neophilia, Emotional eating, and Food attractiveness. The adolescents' sex, maternal education, BMI z-score, and severity of depressive symptoms were significantly associated with the identified patterns. In particular, adolescents with a higher BMI z-score were more likely in Food neophilia while individuals with more severe depressive symptoms were in the Picky eating, Emotional eating, and Food attractiveness patterns. These findings suggest a starting point for the development and planning of targeted public health interventions

Mothers' eating styles influence on their feeding practices and on their children's appetite traits

Background: Overweight and obesity in children and adolescents has become an important public health concern in the last decades. To study the way mothers and childrens behavioral factors interact with each other, influencing eating and body weight, may provide information to be used in preventive and treatment strategies.Goals: To study the association of mothers eating style on their feeding behavior and on their childrens eating behavior.Methods: Cross-sectional observational study with a non-probabilistic sample of mother and child dyads (from three schools). Mothers eating behavior (assessed with Dutch Eating Behavior Questionnaire scale; DEBQ) was classified and they were grouped into three eating styles: restrictive, emotional-external or neutral styles. Mothers feeding restriction, pressure to eat and concern about childs weight were assessed (through the Child Feeding Questionnaire; CFQ). Finally, mothers classified their childs appetite behaviors (with the Childrens Eating Behaviour Questionnaire; CEBQ).Results: Overall, participated 279 mothers, aged between 23 and 59 years (Mean= 38.03 years, SD=5.09) and respective children (n=279), aged between 6 and 13 years (Mean= 9.43 years, SD= 1.35), 140 of those were females (50.2 %). Associations between mothers eating style, their feeding behaviors and childrens appetite traits showed that restrictive and emotional-external eating mothers had higher scores of CFQ and CEBQ items related with obesity, when compared to neutral eating style mothers. Mothers feeding restriction and childrens weight concern associated positively with childrens food approach behaviors (enjoyment of food, food responsiveness, emotional over-eating), and negatively with food avoidance behaviors (satiety responsiveness and slowness in eating). On the contrary, pressure to eat associated positively with food avoidance behaviors and negatively with food approach behaviors. Mothers concern about child weight and feeding restriction were positively associated with CEBQ subscales that reflect food approach and negatively associated with subscales that reflect food avoidance. Pressure to eat had the symmetric associations. Discussion: Results support the hypothesis of the transmission of eating behaviors that promote obesity from mothers to children, and have implications both for prevention and children and adolescents obesity treatment. Therefore, mothers should be a part of the intervention when treating their children obesity</jats:p

The Effect of a Linear Tuning between the Antigenic Stimulations of CD4(+) T Cells and CD4(+) Tregs

We study the equilibria of an Ordinary Differencial Equation (ODE) system where CD4+ effector or helper T cells and Regulatory T cells (Tregs) are present. T cells trigger an immune response in the presence of their specific antigen. Regulatory T cells (Tregs) play a role in limiting auto-immune diseases due to their immune-suppressive ability. Here, we present explicit exact formulas that give the relationship between the concentration of T cells, the concentration of Tregs, and the antigenic stimulation of T cells, when the system is at equilibria, stable or unstable. We found a parameter region of bistability, limited by two thresholds of antigenic stimulation of T cells (hysteresis). Moreover, there are values of the slope parameter of the tuning for which an isola-center bifurcation appears, and, for some other values, there is a transcritical bifurcation. We also present time evolutions of the ODE system

Nutritional Status among Portuguese and Turkish Older Adults Living in the Community: Relationships with Sociodemographic, Health and Anthropometric Characteristics

Malnutrition is widespread among older adults, and its determinants may differ between countries. We compared Portuguese and Turkish non-institutionalized older adults regarding nutritional status, sociodemographic, health and anthropometric characteristics and studied the relationships between nutritional status and those characteristics. This cross-sectional study analyzed data from 430 Portuguese and 162 Turkish non-institutionalized older adults regarding sociodemographics, health conditions, the Mini-Nutritional Assessment (MNA-FF) and anthropometry. Turkish older adults were more likely to be malnourished or at risk of malnutrition and had lower average BMI but a higher calf circumference. A higher proportion of the Portuguese sample had tooth loss, diabetes, hypertension, oncologic diseases, kidney diseases, osteoarticular problems or eye problems, while less had anemia. A better nutritional status (higher MNA-FF score) was found among the Portuguese, males, people using dentures, those without tooth loss, hypertension, cardiovascular diseases, anemia or oncological diseases and was related to younger age, higher BMI and a higher calf circumference. Malnutrition and its risk were higher among older adults from Turkey, despite Portuguese older adults presenting a higher prevalence of chronic diseases. Being female, older age, tooth loss, hypertension, anemia, CVD or oncological disorders and having a lower BMI or CC were associated with higher rates of malnutrition among older adults from Portugal and Turkey

Variance of bioimpedance analysis measurements with physicalactivity and ingestion of food and water

[resumo][abstract

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas

Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several research groups have focused on such application, but until now, there is a lack of a well-defined methodology for employing complex networks in a whole crime analysis process, i.e. from data preparation to a deep analysis of criminal communities. Furthermore, the "toolset" available for those works is not complete enough, also lacking techniques to maintain up-to-date, complete crime datasets and proper assessment measures. In this sense, we propose a threefold methodology for employing complex networks in the detection of highly criminal areas within a city. Our methodology comprises three tasks: (i) Mapping of Urban Crimes; (ii) Criminal Community Identification; and (iii) Crime Analysis. Moreover, it provides a proper set of assessment measures for analyzing intrinsic criminality of communities, especially when considering different crime types. We show our methodology by applying it to a real crime dataset from the city of San Francisco - CA, USA. The results confirm its effectiveness to identify and analyze high criminality areas within a city. Hence, our contributions provide a basis for further developments on complex networks applied to crime analysis.Comment: 7 pages, 2 figures, 14th International Conference on Information Technology : New Generation