Association of Chrononutrition Indices with Anthropometric Parameters, Academic Performance, and Psychoemotional State of Adolescents: A Cross-Sectional Study.

Adolescents are an at-risk group for circadian misalignment. The contribution of sleep-wake rhythm instability to the psychoemotional, cognitive, and weight disorders of adolescents has been studied in sufficient detail. At the same time, there is insufficient information about the association between chrononutrition indices and the well-being of adolescents. The aim of this study is to investigate the relationship between chrononutrition indices and academic achievement, psychoemotional state, and anthropometric indicators in adolescents. The study involved 12,759 students in grades 6-11 of secondary schools, aged 14.2 ± 1.7 years old; 57.2% of whom were girls. Participants provided personal data, frequency and time of meals during the day and at night, on weekdays and weekends, and completed the Zung Self-Rating Depression Scale and the Yale Food Addiction Scale. There is a U-shaped association between eating mid-phase (EPFc), eating jetlag (EJL), and eating window (EW) with GPA, ZSDSI, and FA. At the same time, the frequency of night eating (NE) is linearly associated with the studied parameters. NE is the strongest predictor of ZSDSI (ß = 0.24), FA (ß = 0.04), and GPA (ß = -0.22). EPFc, EJL, and EW practically do not differ in the strength of their association with the studied indicators. ZSDSI is most closely associated with the chrononutrition indices. There is a weak negative association between BMI and EW (ß = -0.03) and NE (ß = -0.04). Thus, circadian eating disorders are more often observed in adolescents with poor academic performance, high levels of depression, and food addiction.

Afternoon school shift is associated with increased risk of overweight/obesity in 11-14-year-old females with early and intermediate chronotype.

OBJECTIVE: The purpose of this study was to compare the anthropometric and sleep-wake rhythm characteristics of schoolchildren that attend school in morning and afternoon school shifts. METHODS: We recruited 18 481 individuals (females: 56.4%) aged 11 to 18 years old with an average age of 14.4 ± 1.7 years old. In total, 812 (4.2%) questionnaires were incomplete. The self-reported height and weight were used to assess the sex- and age-corrected body mass index of the participants. The Munich ChronoType Questionnaire was used to assess the chronotype, social jetlag, and sleep duration of the participants. RESULTS: In total, 12.6% of the participants were affected by overweight or obesity. The overweight and obesity incidence rate was higher among the students studying in the afternoon (odd ratio [95%CI]: 1.33 [1.16-1.52]). The afternoon school shift had a negative impact on the anthropometric indicators only in the 11-14-year-olds (1.29 [1.11-1.50]) and girls (1.26 [1.04-1.54]) with an early (1.27 [1.03-1.56]) and intermediate (1.30 [1.07-1.58]) chronotype. CONCLUSION: The data obtained indicated that the afternoon school shift is not ideal, especially for female children and adolescents under 15 years old with an early and intermediate chronotype.

Food addiction and emotional eating are associated with intradaily rest-activity rhythm variability.

PURPOSE: The aim of the present investigation was to study the associations among parameters characterizing eating behavior and actimetry-derived indices of circadian rhythm of motor activity. METHODS: The study involved 81 healthy participants (average age: 21.5 ± 9.6 y, women: 77.8%). Each study participant provided personal data, filled out the Yale Food Addiction Scale and the Dutch Eating Behavior Questionnaire, and wore a wrist actimeter for 7 consecutive days to record motor activity. Using time series treatments, we obtained: (a) three cosinor-derived parametric indices [Medline Estimating Statistics of Rhythm (MESOR), amplitude, and acrophase], and (b) four non-parametric indices [interdaily stability, intradaily variability (I.V.), most active 10-h period (M10), and least active 5-h period] characterizing the 24-h rhythm of motor activity. A multiple regression analysis adjusted for age, sex, and BMI was performed to assess the associations among the studied indicators. RESULTS: It was shown that I.V. is a predictor of symptoms of food addiction (ß = 0.242, P = 0.037) and emotional eating (ß = 0.390, P = 0.004), MESOR is a predictor of symptoms of food addiction (ß = 0.342, P = 0.003), and M10 predicts restraint (ß = 0.257, P = 0.015) and emotional eating (ß = 0.464, P = 0.001). CONCLUSION: It was shown for the first time that an increase in symptom counts of food addiction is associated with an increase in the average level and fragmentation of 24-h rhythm of motor activity. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Food addiction and weight in students with high academic performance.

OBJECTIVE: The purpose of this study was to analyse the relationships between food addiction (FA), anthropometric characteristics and academic performance. DESIGN: The average age (sd) of the participants was 17·5 (sd 2·7) years (64·1 % female). Each study participant indicated their sex, height, weight and academic performance and completed the Yale Food Addiction Scale. SETTING: Syktyvkar, Kirov, Tyumen, Yekaterinburg, Russia; Aizawl, India. PARTICIPANTS: The study involved 3426 people. RESULTS: FA was found in 8·7 % of participants from Russia and 14·6 % from India. In schoolchildren but not in university students, high academic performance was associated with a higher incidence rate of FA detection (OR = 1·16, 95 % CI 1·07, 1·26) and a lower BMI (OR = 0·72, 95 % CI 0·56, 0·94). CONCLUSIONS: These data showed an increased incidence rate of FA detection in adolescents with high academic performance.

Food preferences and YFAS/YFAS-C scores in schoolchildren and university students.

PURPOSE: Food addiction (FA) is one of the causes of widespread obesity in modern society. It was shown that there is an age-associated increase in incidence rate of FA in adolescents/young adults. The purpose of this study was to analyze food preferences in schoolchildren and university students with FA. METHODS: High school and university students (N = 1607; age: 17.8 ± 2.7 years; girls: 77.0%) located in four settlements of Russia anonymously took part in the study. Study participants provided personal data (age, sex, height, and weight) and completed the Yale Food Addiction Scale, the Zung Self-Rating Depression Scale and the Munich ChronoType Questionnaire. In addition, they indicated food products with which they had problems. RESULTS: The frequency of detection of FA among university students was twice as high as among schoolchildren. University students with FA were 20.2% more likely than schoolchildren to report the symptom 'use continues despite knowledge of adverse consequences,' and 13.7% more likely to report the symptom 'tolerance.' Schoolchildren and university students with FA most often noted that foods high in sugar and fat were problematic. University students with FA also reported that foods with a high carbohydrate content were problematic. CONCLUSION: In university students with FA, in comparison with schoolchildren with FA, there is an increase in list of problematic food products, mainly due to products with a high carbohydrate content. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Food addiction and symptoms of depression among inhabitants of the European North of Russia: Associations with sleep characteristics and photoperiod.

The purpose of this investigation was to study the sleep-wake rhythm characteristics of young persons with food addiction (FA) and symptoms of depression. A total of 2,360 young persons living in northern European Russia were included in the study. The average age of the respondents (± standard deviation [SD]) was 17.9 [4.6] years (66.6% female). Each participant provided personal data and filled in three questionnaires: the Munich Chronotype Questionnaire, the Zung Self-Rating Depression Scale, and the Yale Food Addiction Scale. FA was detected in 8.9% of respondents, and moderate-to-severe symptoms of depression were detected in 16.7% of respondents. FA and depressive symptoms were more often detected in females. Age and body mass index were shown to be significantly associated with FA. There were positive associations between the time of sunrise and FA and depressive symptoms. Persons who had symptoms of depression also tended to have a later chronotype, lower sleep efficiency, later sleep onset, higher sleep inertia, and greater sleep latency on school days. A positive relationship between FA and the time of sleep onset on school days was also revealed. Thus, the results indicate that prolonged wakefulness in the evening after sunset was associated with FA.

Food addiction in Russian adolescents: Associations with age, sex, weight, and depression.

OBJECTIVE: Eating disorders are a cause of the recent obesity epidemic. Food addiction (FA) and factors associated with eating disorders have not been adequately studied in adolescents. METHOD: The final study sample included 1,144 students. Study participants were asked to indicate their age, sex, and month of birth and fill out the Yale Food Addiction Scale for Children and Zung Self-Rating Depression Scale. RESULTS: Of the total number of adolescents studied, 4.5% had FA. It was found that an increased rate of FA diagnosis existed in adolescents with moderate-to-severe depression (P < 0.000), overweight and obese individuals (P < 0.002), girls (P < 0.038), and the 17- to 18-year-old age group (P < 0.007). CONCLUSION: The data indicate that FA is positively associated with depression, obesity, age, and sex.