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 in young adult residents of Russia: Associations with emotional and anthropometric characteristics.

The incidence of food addiction (FA) and associations between FA and anthropometric and psycho-emotional characteristics of young Russian adults were studied. In this study, 1,237 students (age, M = 20.6, SD = 4.6 years; 79% females) of universities located in four cities of Russia were attended. They provided demographics and filled in the Yale Food Addiction Scale (YFAS), the Dutch Eating Behavior Questionnaire, and the Zung Self-Rating Depression Scale. Data were analysed via Chi-squared tests, logistic regression analysis, and an analysis of covariance. 13.2% of participants met diagnostic criteria for FA based on the YFAS. On average, the participants reported 2.6 FA symptoms (SD = 1.5). FA was more commonly detected in females (OR = 1.86, 95% CI = 1.10, 3.15, p = .021). No relationship was found between age and the incidence of FA. Significant positive associations between FA, the severity of depression (OR = 2.31, 95% CI = 1.91, 2.80, p = .000), and an emotional eating behaviour (OR = 1.45, 95% CI = 1.20, 1.76, p = .000) were found. The waist-to-height ratio was found to be the anthropometric indicator most closely associated with FA (OR = 1.49, 95% CI = 1.27, 1.76, p = .000). HIGHLIGHTS: The prevalence of food addiction in the current sample was 13.2%. In young Russian adults, emotional eating behaviour and depression are associated with food addiction. In young Russian adults, the waist-to-height ratio is the anthropometric indicator most closely associated with food addiction.

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.

Chronotype, social jetlag, and time perspective.

The phase of entrainment (chronotype) is known to be associated with time perspective (TP), suggesting that the state of circadian system is involved in the long-term planning of human life. However, little is known regarding the influence of circadian misalignment on long-term planning ability. The aim of this study was to investigate the association between social jetlag (SJL) and TP. A total of 1064 schoolchildren and university students (mean age ± standard deviation, 19.2 ± 2.9 years; range, 15-25 years; females, 71.7%) from four cities in the Russian Federation located between 56.9 and 61.7 degrees North completed the Munich ChronoType Questionnaire, the Pittsburgh Sleep Quality Index, the Seasonal Pattern Assessment Questionnaire, and Zimbardo Time Perspective Inventory. Study participants also indicated personal data (age, sex, height weight, place of residence, and achievements). A multiple regression analysis with stepwise inclusion of predictors in the model was performed to evaluate associations between time perspective characteristics (dependent variables) and predictor variables. The change in R2 was used as the measure of effect size. Chronotype was found to be a moderate predictor of future TP (B = 0.034; ΔR2 = 0.037). In addition, sleep quality was found to be a moderate predictor of past negative (B = 0.043; ΔR2 = 0.074), present fatalistic (B = 0.021; ΔR2 = 0.035), and deviation from balanced TP (B = 0.034; ΔR2 = 0.066). Mood seasonality was a moderate predictor of present hedonistic TP (B = 0.016; ΔR2 = 0.038), and social jetlag was a weak predictor of present fatalistic (B = 0.052; ΔR2 = 0.019), future (B = -0.033; ΔR2 = 0.004), and deviation from balanced TP (B = 0.047; ΔR2 = 0.012). In conclusion, this study found a weak but significant association between social jetlag and TP in adolescents and young adults.