Certain food groups are often rejected during chemotherapy (CT) due to the side effects of treatment, which may interfere with adequate diet and nutritional status. The aim of this study was to evaluate the treatment impact on the diet and nutritional status of women with breast cancer (BC). In this prospective longitudinal study, conducted in 2014–2015, 55 women diagnosed with BC, with a mean age 51.5±10.1 years, were followed and data were collected at three different times. Anthropometric and dietary assessments were performed, the latter by applying nine 24h dietary recalls, by using the Brazilian Healthy Eating Index Revised (BHEI-R), and calculating the prevalence of inadequacy by the EAR cut-off point method. Regarding the BHEI-R analysis, the majority of women had a “diet requires modification’, both at the beginning (T0, 58.2%, n = 32) and during treatment (T1, 54.5%, n = 30). However, after the end of the CT, the greater percentage of patients (T2, 49.1%, n = 27) were classified as having an "inadequate diet", since the Total Fruit consumption as well as the Dark Green and Orange Vegetable and Legume consumption decreased significantly during treatment (p = 0.043 and p = 0.026, respectively). There was a significant reduction in the intake of macro and micronutrients, with a high prevalence of inadequacy, of up to 100%, for calcium, iron, phosphorus, magnesium, niacin, riboflavin, thiamin, vitamin B6, vitamin C and zinc. Assessment of the nutritional status indicated that 56% (n = 31) of patients were overweight at these three different times. Weight, BMI and Waist Circumference increased significantly, indicating a worse nutritional status, and there was a correlation between poor diet quality and higher values for BMI, Waist-Hip Ratio and Waist-to-Height Ratio. Chemotherapy interferes in the patients’ diet generating a negative impact on the quality and intake of micro and macronutrients, as well as an impact on their nutritional status, with an increase in anthropometric measurements.

Animal studies strongly suggest that timed feeding can have beneficial physiological effects, including protection against the obesogenic and metabolic consequences of a high-fat diet. However, the relationship between variables related to the timing of eating and diet quality in pregnancy women, which is considered as a period of nutritional vulnerability, is still poorly described in the literature. Therefore, the aim of the present study was to investigate the associations between time-related eating patterns and chronotype with diet quality of pregnant women. This cross-sectional study was conducted with 100 pregnant women in the first gestational trimester (≤12 weeks of gestation). The information regarding food intake was obtained by three 24-Hour Dietary Recall (24HR). Time-related eating patterns, i.e., the interval between the first and the last meal (eating duration), nightly fasting, time of the first and last meals, and number of meals eating on a day were determined. Chronotype was derived using the mid-sleep time on free days on weekends, with a further correction for calculated sleep debt. Diet quality was evaluated using the Brazilian Healthy Eating Index-Revised (BHEI-R), validated for the Brazilian population. Linear regression modeling analyses adjusted for confounders were used to investigate the association between time-related eating patterns and chronotype with diet quality. The BHEI-R total score was negatively associated with time of the first meal (β =  -0.355; p = 0.002; r adjusted = 0.141), and positively associated with eating duration (β = 0.262; p = 0.024; r adjusted = 0.086) and number of meals (β = 0.273; p = 0.019; r adjusted = 0.091). In addition, the score of total fruit component was negatively associated with chronotype (β = -0.236; p = 0.033; r adjusted = 0.078), time of the first meal (β = -0.393; p = 0.001; r adjusted = 0.171), and positively associated with eating duration (β = 0.259; p = 0.022; r adjusted = 0.087) and number of meals (β = 0.376; p = 0.001; r adjusted = 0.159). The score for whole fruit component was negatively associated with time of the first meal (β = -0.388; p = 0.001; r adjusted = 0.152), and positively associated with number of meals (β = 0.403; p = 0.001; r adjusted = 0.164). A longer eating duration, earlier time of the first meal, higher number of meals and morningness tendency are associated with a better diet quality in the first gestational trimester - higher scores of the total BHEI-R and/or fruit components. We suggest that nutritional guidelines should consider time-related eating patterns and chronotype to ensure good diet quality of pregnant women since the beginning of gestation, contributing on prevention of metabolic-nutritional complications.

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ObjectiveThe focus of this study was to evaluate the associations between subjective sleep quality and duration and weight gain during pregnancy. MethodsA prospective and longitudinal study was conducted with 63 pregnant women. Pregnant women were evaluated at the first, second and third trimester for subjective sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and anthropometric variables for body mass index [BMI] calculation. The sleep quality was grouped per cluster, identifying those individuals who maintained, improved or worsened their sleep quality, based on the PSQI classifications. Generalized estimating equations (GEE) were used to examine the association between sleep and BMI over the pregnancy period. ResultsAn effect of the interaction between time of pregnancy and clusters of sleep quality was observed on the BMI (p<0.05), which indicates that pregnant women who improved subjective sleep quality during pregnancy gained more weight from the second to third trimester, while those that worsened the subjective sleep quality gained more weight during the first to second trimester. Sleep duration was not associated with weight gain. However, pregnant women who maintained the same BMI category over the pregnancy period increased their sleep duration from the first to third trimester, while those that increased the BMI category slept the same amount of time during this period (median=1.0 [0.0-2.0] and median=0.0 [-2.0-1.0], respectively, p=0.039). ConclusionsThe authors concluded that a worse subjective sleep quality seems to lead to an inadequate weight gain distribution during the period of pregnancy.

The objective behind this study was the analysis of food intake and the nutritional status of women with breast cancer (BC) undergoing chemotherapy (CT). The quantitative dietary evaluation was performed in accordance with Dietary Reference Intakes (DRI), whereas the qualitative evaluation was performed through the Brazilian Healthy Eating Index -Revised (BHEI-R). From among the total number of patients (n = 20), 60% (n = 12)

BackgroundThis cross‐sectional study investigated the association between chronotype, food craving and weight gain in pregnant women.MethodsIn total, 245 pregnant women attending the public health service in Brazil were included. Chronotype was derived from the time of mid‐sleep time on free days, with a further correction for calculated sleep debt, and higher scores on this variable indicate a tendency to eveningness. A Food Craving Questionnaire Trait and State assessment was performed, and weight gain was calculated. Generalised linear models were used to determine the association between the variables under analysis.ResultsEvening types presented higher anticipation of relief from negative states and feelings as a result of eating as a usual behaviour compared to morning (P = 0.013) and non‐evening types (P = 0.028); less intense desire to eat as a sporadic behaviour compared to morning (P = 0.012) and non‐evening types (P = 0.009); and less anticipation of positive reinforcement that may result from eating as a sporadic behaviour than non‐evening types (P = 0.022). We also found a significant association between chronotype score and anticipation of relief from negative states and feelings as a result of eating (P = 0.004); anticipation of positive reinforcement that may result from eating (P = 0.013) as a usual behaviour; weight gain during the early gestational period (P = 0.024); and intense desire to eat (P = 0.045) as a sporadic behaviour.ConclusionsWe conclude that evening chronotype was associated with the food craving trait. Pregnant women who tend to eveningness are more likely to gain weight in the early gestational period.

OBJECTIVE: To study anthropometrical and body composition variables as predictors of risk for metabolic alterations and metabolic syndrome in female adolescents.METHODS: Biochemical, clinical and corporal composition data of 100 adolescents from 14 to 17 years old, who attended public schools in Viçosa, Southeastern Brazil, were collected.RESULTS: Regarding nutritional status, 83, 11 and 6% showed eutrophia, overweight/obesity and low weight, respectively, and 61% presented high body fat percent. Total cholesterol presented the highest percentage of inadequacy (57%), followed by high-density lipoprotein (HDL - 50%), low-density lipoprotein (LDL - 47%) and triacylglycerol (22%). Inadequacy was observed in 11, 9, 3 and 4% in relation to insulin resistance, fasting insulin, blood pressure and glycemia, respectively. The highest values of the fasting insulin and the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) were verified at the highest quartiles of body mass index (BMI), waist perimeter, waist-to-height ratio and body fat percent. Body mass index, waist perimeter, and waist-to-height ratio were the better predictors for high levels of HOMA-IR, blood glucose and fasting insulin. Waist-to-hip ratio was associated to arterial hypertension diagnosis. All body composition variables were effective in metabolic syndrome diagnosis.CONCLUSIONS: Waist perimeter, BMI and waist-to-height ratio showed to be good predictors for metabolic alterations in female adolescents and then should be used together for the nutritional assessment in this age range.

Objective: To compare and analyze the consumption of minimally processed and ultra-processed foods among students from public and private schools. Methods: Study conducted in Uberlândia, MG, with fifth-grade students from three private and six public schools, selected by stratified cluster sampling. We collected data on food consumption using the 24-hour recall. Foods were classified into four groups (G) according to extent and purpose of processing: fresh/minimally processed foods (G1) culinary ingredients (G2), processed foods (G3), and ultra-processed foods (G4). Total energy intake (kcal) of each group, amount of sugar (g), sodium (mg), and fiber (g) were quantified and compared according to administrative affiliation (private or public). Results: Percentage of total energy intake was: G1 - 52%; G2 - 12%; G3 - 5%; e G4 - 31%. Energy intake from G1 (53 vs. 47%), G2 (12 vs. 9%), and G3 (6.0 vs. 0.1%), and amount of sodium (3,293 vs. 2,724 mg) and fiber (23 vs. 18 g) were higher among students from public schools. Energy intake from G4 (36 vs. 28%) and amount of sugar (20 vs. 14%) were higher among students from private schools. The consumption of foods from G1 in the school environment was higher among students from public schools (40 vs. 9%). Conclusions: Foods from G1 represent the highest percentage of total energy intake, while those from G4 constitute a third of calories consumed. Processed juice, sandwich cookie, processed cake, and breakfast cereals are more frequent among private school students; snacks and juice powder are more common for students from public schools.