In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.

Objectives: Our study was conducted to adapt the Body Image and Body Change Inventory (BIBCI) for Portuguese; to evaluate the BIBCI's psychometric properties in samples of university students; to calculate the prevalence of strategies for eating and body change among students; and to evaluate the impact of demographic, social, and anthropometric characteristics on the BIBCI subscales. Methods: 798 students (women = 63%) answered the Portuguese translation of the BIBCI and answered a demographic questionnaire. All analyses were performed separately for women and men. The BIBCI's psychometric properties were estimated using confirmatory factor analysis. Mean scores were calculated for each BIBCI subscale. A multivariate regression model was tested to evaluate the impact of demographic, social, and anthropometric characteristics on mean BIBCI subscale scores. Results: The psychometric properties of the BIBCI were adequate in the samples analyzed. The BIBCI subscales scores did not differ according to sex. According to the cutoff points adopted, most of the students were classified in the very low category of the BIBCI subscales. For women, characteristics such as self-reported eating assessment, economic class, physical activity level, and work were significant. For men, only physical activity level was significant. Conclusion: The Portuguese translation of the BIBCI was presented and its psychometric properties were found to be adequate in the samples analyzed. The models identified significant characteristics that can be used in intervention protocols for preventing inappropriate behaviors in relation to body image and eating.

O consumo energético vem crescendo continuamente, sustentando o modelo social atual. Neste cenário, as concessionárias de energia proveem meios de interligar as fontes geradoras aos consumidores finais. Sistemas como os de teleproteção são utilizados para garantir que as falhas presentes nas redes elétricas não afetem os consumidores. Tradicionalmente, as concessionárias de energia utilizam tecnologias de multiplexação por divisão de tempo (do inglês, Time-Division Multiplexing - TDM), como meio de comunicação para os sistemas de teleproteção, porém a sua ineficiente alocação de recursos e o seu final de ciclo de vida vem possibilitando a utilização de novas tecnologias, tais como as baseadas no protocolo Internet (do inglês, Internet Protocol- IP). Deste modo, esse trabalho avalia o desempenho de redes estatísticas para o serviço de teleproteção, apresentando resultados laboratoriais com equipamentos utilizados em campo. Os resultados dos testes indicam uma potencial viabilidade da utilização de redes estatísticas em relação aos requisitos operacionais de teleproteção, constituindo um passo importante para a realização de implementações em campo. No entanto, mais testes serão necessários para a prova definitiva dessa viabilidade.

Background and Aims Approaches promoting eating guided by internal cues, such as intuitive eating (IE), have emerged as an alternative to decrease the impact of external cues on eating behavior while simultaneously avoiding the risk for dysfunctional eating. IE helps to connect with internal cues (i.e. hunger and satiety) and feelings rather than relying on external strategies to regulate what, how much and when to eat. In obese women, IE-based approaches have shown to enhance motivation and adherence to lifestyle changes, hence improving metabolic and psychological parameters, quality of life and diet quality. However, studies evaluating IE in chronic kidney disease (CKD) patients are scarce. Thus, we aimed to evaluate the impact of a behavioral multi-session group intervention on IE scores of overweight non-dialysis-dependent (NDD) CKD women. Method This is a prospective non-controlled clinical trial of a behavioral multi-session group intervention for dietary management. It was conducted with overweight women with chronic kidney disease (CKD). Each group comprised 5-8 participants in fifteen weekly or biweekly sessions lasting about 90 minutes. Most of IE principles were discussed throughout the meetings. IE scale 2 (IES2) translated and adapted to Brazilian population and composed of 23 questions with 5-point Likert response scale ranging from 1=“strongly disagree” to 5=“strongly agree” and four-factor model (Unconditional Permission to Eat, Eating for Physical Rather than Emotional Reasons, Reliance on Hunger and Satiety Cues, and Body-Food Choice Congruence) was applied before and after the intervention. The higher the score, the higher the intuitive eating attitudes. Results Of the 33 patients that initiated the study, 23 patients [age=62.0 (58.0-68.0) years; schooling= 9.0 (7.0-12.0) years of study; BMI=32.6 (30.2-39.3); eGFR=28.0 (22.0-31.0) ml/min/1.73m²] completed the intervention. Figure 1 shows the results regarding IES2. Conclusion The intervention approaching IE principles was effective to improve IE attitudes in the studied patients. With exception for “body-food choice congruence”, all IE subscales improved after intervention. These results are promising and may contribute to a paradigm change in the strategies aiming to enhance motivation and adherence to dietary recommendations in CKD population.

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