Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults.

Image-based dietary records have been validated as tools to evaluate dietary intake. However, to determine meal timing, previous studies have relied primarily on image-based smartphone applications without validation. Noteworthy, the validation process is necessary to determine how accurately a test method measures meal timing compared with a reference method over the same time period. Thus, we aimed to assess the relative validity and reliability of the Remind® app as an image-based method to assess dietary intake and meal timing. For this purpose, 71 young adults (aged 20-33 years, 81.7% women) were recruited for a 3-day cross-sectional study, where they completed a 3-day image-based record using the Remind app (test method) and a 3-day handwritten food record (reference method). The relative validity of the test method versus the reference method was assessed using multiple tests including Bland-Altman, % difference, paired t-test/Wilcoxon signed-rank test, Pearson/Spearman correlation coefficients, and cross-classification. We also evaluated the reliability of the test method using an intra-class correlation (ICC) coefficient. The results showed that, compared to the reference method, the relative validity of the test method was good for assessing energy and macronutrient intake, as well as meal timing. Meanwhile, the relative validity of the test method to assess micronutrient intake was poor (p < 0.05) for some micronutrients (iron, phosphorus, potassium, zinc, vitamins B1, B2, B3, B6, C, and E, and folates) and some food groups (cereals and grains, legumes, tubers, oils, and fats). Regarding the reliability of an image-based method to assess dietary intake and meal timing, results ranged from moderate to excellent (ICC 95% confidence interval [95% CI]: 0.50-1.00) for all nutrients, food groups (except oils and fats, which had low to moderate reliability), and meal timings. Thus, the results obtained in this study provide evidence of the relative validity and reliability of image-based methods to assess dietary intake (energy, macronutrients, and most food groups) and meal timing. These results open up a new framework for chrononutrition, as these methods improve the quality of the data collected and also reduce the burden on users to accurately estimate portion size and the timing of meals.

Life before and after COVID-19: The 'New Normal' Benefits the Regularity of Daily Sleep and Eating Routines among College Students.

After the COVID-19 lockdown, a 'new normal' was established, involving a hybrid lifestyle that combined face-to-face with virtual activity. We investigated, in a case-control study, the impact of the 'new normal' on daily sleep and eating routines, compared with pre-pandemic conditions. To do this, we propose using social and eating jet lag as markers of the regularity in daily routines. Additionally, we studied whether the 'new normal' had an impact on the body mass index (BMI), diet quality, and other health-related variables. This study included 71 subjects in the pre-pandemic group, and 68 in the 'new normal' group (20-30 years). For all participants, we evaluated social and eating jet lag, BMI, diet and sleep quality, eating behaviors, physical activity, and well-being. General linear models were used to compare outcome variables between pre-pandemic and 'new normal' groups. The results revealed that the 'new normal' was associated with greater regularity in daily sleep and eating routines (-0.7 h of social jet lag (95% CI: -1.0, -0.4), and -0.3 h of eating jet lag (95% CI: -0.5, -0.1)), longer sleep duration on weekdays (1.8 h (95% CI: 1.5, 2.2)), and lower sleep debt (-1.3 h (95% CI: -1.7, -0.9)). Regarding BMI and other health-related variables, we observed that these variables were similar between 'new normal' and pre-pandemic groups. These findings indicate that the 'new normal' had a positive impact on daily sleep and eating routines. Additionally, our results indicated that the 'new normal' offered college students a more sustainable lifestyle, which was associated with more hours of sleep during the week and lower sleep debt. This, in the long run, could have a positive impact on BMI and overall health.

Sleep dimensions are associated with obesity, poor diet quality and eating behaviors in school-aged children.

Objectives: The aim of this cross-sectional study was to investigate the association between sleep dimensions (duration, patterns, and disturbances) with body mass index (BMI), diet quality, and eating behaviors in school-aged children. Additionally, we aimed to investigate whether obesogenic eating behaviors (higher food responsiveness, lower satiety responsiveness, and less slowness in eating) and poor diet quality could mediate the potential association between sleep and obesity in school-aged children. Materials and methods: For all participants (n = 588 children, age 5-12 years; 51% girls) we evaluated: sleep dimensions, BMI, diet quality, eating behaviors (food responsiveness, satiety responsiveness and slowness in eating). Linear regression models were used to test associations between exposure and outcome variables. Additionally, path analysis was conducted to test whether eating behaviors mediated the relationship between sleep and obesity. Results: Shorter sleep duration (ß = -0.722, p = 0.009) and greater sleep disturbances (ß = 0.031, p = 0.012) were significantly associated with BMI. Additionally, we observed that diet quality was significantly associated with sleep duration (ß = 0.430, p = 0.004), the midpoint of sleep (ß = -0.927, p < 0.001), and sleep disturbances (ß = -0.029, p < 0.001). Among other findings, greater sleep disturbances were associated with food responsiveness (ß = 0.017, p < 0.001), satiety responsiveness (ß = 0.015, p < 0.001), and slowness in eating (ß = 0.012, p < 0.001). Importantly, food responsiveness was found as significant mediator of the relationship between sleep and BMI (R = 0.427, R 2 = 0.182, p < 0.001). Conclusions: Late sleep patterns, short sleep duration, and greater sleep disturbances are significantly related with what and how school-aged children eat. Importantly, poor diet quality was significantly related to all three sleep dimensions, while eating behaviors had a significant relationship with greater sleep disturbances. These findings may be relevant to the development of behavioral targets to prevent childhood obesity, including sleep hygiene guidelines as a strategy to improve children's eating habits, as well as their BMI.

Factors Associated with Dietary Restriction and Emotional and Uncontrolled Eating in Adults from Spanish-Speaking Countries during the COVID-19 Confinement: Results of the CoV-Eat Project.

The first COVID-19 confinement has led to changes in the population's behaviour. However, little has been analysed about the changes in eating behaviour beyond the decrease in adherence to healthy dietary patterns. The aim of the CoV-Eat project was to identify factors related to each of the following eating behaviours (EB): cognitive restraints (CR), uncontrolled eating (UE), and emotional eating (EE) in adults from Spanish-speaking countries. Participants completed an anonymous online survey. EB was assessed using the Three-Factor Eating Questionnaire and the scores were classified into tertiles. Socio-demographic characteristics and lifestyle habits including physical activity, sleep quality, screen use, smoking consumption, and relationship with food were also collected. A total of 9849 participants from 21 countries were included in this study. The median of CR, UE, and EE behaviours was 15, 24, and 9, respectively. We observed that higher age, days of confinement, number of times leaving home in the last week, changes in sleep quality, and their relationship with food were negatively associated with CR, EE, and UE, while being a man was positively associated with an increased in all these EBs. A higher household income was negatively associated with a higher score of CR, and a higher education level (>primary) was positively associated with a medium score of EE. Lower physical activity was a factor negatively associated with a medium score of EE and UE. Higher screen use showed the same negative association for a medium score of EE and UE and a high score of CR. In addition, higher tobacco consumption was found to be a protective factor against having a medium or high score of CR and EE. In conclusion, some sociodemographic characteristics and lifestyle changes may be important factors for EB and should be considered in emergency situations such as confinement to prevent risky eating behaviour.

A higher dietary restraint is associated with higher BMI: a cross-sectional study in college students.

BACKGROUND: College students tend to have eating and lifestyle habits that can lead to weight gain. Paradoxically, weight gain could also lead to calorie restriction, a practice that is common among those who are concerned about their body weight. Thus, the objective of this study was to investigate the association between habits related to overweight and obesity and dietary intake, physical activity, and BMI among college students. METHODOLOGY: One hundred ninety-two participants (18-26 years; 75% female) were included in this cross-sectional study. Participants completed the 'habits related to overweight and obesity questionnaire' which evaluates five dimensions: the concern about caloric intake, healthy eating, physical activity, alcohol consumption, and eating for psychological well-being. Additionally, anthropometric parameters, dietary intake, and physical activity were evaluated. Linear regression models were used to examine the associations between outcome and exposure variables. RESULTS: Higher concern about caloric intake was associated with higher BMI (1.05 kg/m2 [95%CI: 0.58, 1.51]), but lower energy (-312.2 kcal/day [95%CI: -404.6, -219.8]) and fat intake (-1.88% [95%CI: -2.94, -0.83]). Furthermore, healthy eating was related to better diet quality 0.96 [95%CI: 0.47,1.44] and lower energy intake (-231.4 kcal/day [95%CI: -367.7, -95.2]). Meanwhile, higher scores in the physical activity dimension were associated with better diet quality (0.41 [95%CI: 0.16,0.66]). CONCLUSIONS: College students with the highest dietary restraint had the greatest BMI and the lowest energy and fat intake. Our results highlight the importance of promoting healthy behaviors among college students.

Prospective Association of Maternal Educational Level with Child's Physical Activity, Screen Time, and Diet Quality.

Evidence has identified unhealthy lifestyle behaviors as the main contributors to obesity in children, so it is essential to identify factors that could influence children's lifestyles. The objective of the present study was to analyze the association of baseline maternal educational level with child's physical activity, screen time, and dietary habits at follow-up. This community-based cohort study was carried out between 2012 and 2014 and included 1405 children aged 8 to 10 years old. Maternal educational level was used as an indicator of child's socioeconomic status. Physical activity, screen time, and dietary habits were assessed by validated questionnaires. The odds of having commercially baked goods for breakfast [OR 1.47 (95% CI 1.03 to 2.10)], going more than once a week to a fast-food restaurant [OR 1.64 (95% CI 1.20 to 2.26)], and taking sweets and candys several times a day [OR 3.23 (95% CI 2.14 to 4.87) were significantly higher among children whose mothers had a lower educational level compared to their peers whose mothers had a higher level. These associations held for taking sweets and candy several times a day after additional adjustment for the corresponding dietary behavior at baseline. Maternal educational level was inversely associated (p < 0.001) with child's screen time at follow up and being in the lowest maternal educational category was associated with an increased odds of surpassing the maximum recommended time of screen time of 120 min per day (OR (95% CI) 1.43 (1.07 to 1.90), p = 0.016). Maternal education is a predictor for unhealthy dietary habits and high screen time in children.