[Dietary changes in males from adolescence to adulthood: results of a 28-year prospective study].

Dietary pattern usually changes with age; however, certain dietary habits may remain constant. The goal of this study was to analyze dynamic changes in the dietary pattern of males from adolescence to adulthood during a 28-year prospective follow-up. Material and methods. Initially, a representative population sample of 1,005 boys aged 11 to 12 years (mean age 11.9±0.1 years) was examined. Four visits were performed at the ages of 15, 17, 22 and 43. Assessment of actual dietary pattern was carried out by the 24-hour dietary recall method. Results. It was discovered that dietary pattern was changing with age as follows: proportions (Δ%) of meats [M (95% confidence interval)] 2.4 (-0.5-5.3), fish and seafood 1.5 (0.4-2.7), eggs 0.8 (0.1-1.5), and vegetable oils 0.3 (0.1-0.5) were increasing with age, whereas the proportions of animal fats -1.0 [-1.4…-0.6], bread and bakery -2.8 [-5.5…-0.1], sweets and confectionery -2.6 [-4.8…-0.5] were decreasing. We also observed a trend of increased consumption of fruits and fruit juices [Δ=4.9 (1.5-8.4)%]. The magnitudes of the tracking coefficients (correlation coefficients) between the initial (at the age of 15 years) values of the contributions of the main food groups to the total weight of the daily diet and their values at subsequent stages of prospective study showed that eating habits, as a certain dietary pattern, are relatively stable only in adolescence. Conclusion. Over 28 years of prospective observation of males, from adolescence to adulthood, their eating patterns underwent significant changes, which must be taken into account when developing preventive measures aimed at correcting unhealthy dietary patterns in children and adolescents, and at transition to a balanced diet.

[Nutrition status and obesity paradox in chronic obstructive pulmonary disease].

Chronic obstructive pulmonary disease (COPD) is one of the main causes of increasing morbidity and mortality worldwide, and therefore is becoming a major public health problem. The aim of this research was to summarize the data of observational and clinical studies concerning the influence of nutritional status (both malnutrition and obesity) on the COPD course and outcomes. Material and methods. The databases PubMed, RSCI, MEDLINE, EMBASE were used for the period from January 2008 to February 2021, with a total of 582 works viewed. Searches included the keywords: nutritional status, obesity paradox, chronic obstructive pulmonary disease. Results. In the pathogenesis of malnutrition in COPD, such phenomena as excessively enhanced metabolism, loss of appetite and dietary imbalance are most often described. It is proposed to pay great attention to preventing muscle loss in the correction of these phenomena. More than a third of COPD patients has obesity, which is associated according to some reports with a low quality of life, an increased frequency of hospitalizations for exacerbations, but also with better survival. The issue of the obesity paradox in COPD is increasingly discussed in scientific literature. Many authors emphasize that basic scientific research will help to understand the mechanisms of obesity and COPD relationship, as well as timely adjust the rehabilitation program, improving the quality of patients' life. Conclusion. Nutritional status is the important factor in COPD outcomes. Maintaining muscle mass is a priority in COPD patients, including those with obesity. The proposed dietary therapy should take into account the food intake according to the needs of patients, the correct proportion of macronutrients and the level of the body mass index.

The extent and nature of television food advertising to children and adolescents in the Russian Federation.

OBJECTIVE: To assess the frequency, healthfulness and promotional techniques of television food advertising to children and adolescents in the Russian Federation. DESIGN: A cross-sectional study was conducted to monitor food and beverage television advertising. For the five most popular TV channels among children and adolescents, TV broadcasts were recorded for two weekdays and two weekends (320 h) during March-May 2017. Recordings were screened for advertisements. Food advertisements were categorised by food categories and as either 'permitted' or 'not permitted' for advertising to children in accordance with World Health Organization Regional Office for Europe Nutrient Profile Model (NPM), and promotional techniques in advertisements were recorded. RESULTS: Overall, 11 678 advertisements were coded. Across all channels, food and drink (19·2 %) were the most frequently advertised product type. The most common food categories advertised were beverages (except juices, milk drinks and energy drinks) (24·1 %); yoghurts and other dairy foods (15 %); and chocolate and confectionery (12·3 %). A majority (64·2 %) of food and drink products advertised should not be permitted for advertising to children according to the NPM. The most frequently used persuasive appeals in the food advertisements were low price (15·4 %), product novelty (11·8 %) and enjoyment (10·0 %). CONCLUSIONS: Children and adolescents in the Russian Federation are likely exposed to a substantial number of unhealthy food advertisements. There is a need to consider policies to restrict children's exposure to unhealthy food advertising on television in the Russian Federation.

[The Prediction Model of Cardiovascular Events Among the Russian Population: Methodological Aspects].

Modeling is the common approach for predicting not only the population health, but also the social and economic burden of disease, which is an important argument while making decisions in health care and prevention. AIM: To develop the model for predicting cardiovascular risk, applicable for the assessment of clinical and socio-economic effects of preventive and therapeutic actions at the level of the whole population or part (region, city, group of patients). MATERIAL AND METHODS: An analytical model for making decision was performed by using a Markov model consisting of Markov states and probabilities of transition from one state to another within a certain time interval. The model included risk factors and cardiovascular diseases (blood pressure, cholesterol, smoking) and probabilities of transition between them. Data was standardized by age for both males and females. Multivariate sensitivity analysis was performed. The literature search conducted using eLIBRARY.RU (http://elibrary.ru) and CyberLeninka (http://cyberleninka.ru). Consultations with experts in the field of coronary heart disease, stroke, heart failure were carried out. RESULTS: The model, allowing to compare the outcomes of two scenarios (absence/presence of intervention). The model included risk factors: arterial hypertension, smoking, hypercholesterolemia, and important CVD: coronary artery disease, myocardial infarction, unstable angina, heart failure, chronic heart failure after myocardial infarction, transient ischemic attack, stroke, atrial fibrillation. There was absorbent state - death. At the output from the model the patient state was defined as the sum of the Markov states characteristics during the model time horizon. Each result had the cost and outcome, which values could be calculated by simulation modeling ("cohort simulation"). The data analysis from prospective study had shown that mortality increases with age, as expected, but in different age groups impact of cardiovascular causes was different and declined with age. In the case of the blood pressure there was the expected increase of the death risk with the growth of pressure levels, both for males and females, except for males 60-64 years old who had a minimal risk of death at the blood pressure 140-149/90-99 mmHg, and among males with normal blood pressure the risk was higher. Smoking was associated with an expected increase of the death risk among all age groups in both sexes. In males, aged 40-64 years, the death risk was higher at the normal levels of cholesterol (2-5 mmol/l), than at the cholesterol levels equal 5-7 mmol/l. There were no data sources to assess probability of occurrence of the risk factors (hypertension, smoking, hypercholesterolemia) in patients who did not have these factors previously in our studies, and available literature. This requires the prospective studies on at least two slices of surveys (not just with the endpoint analysis). Analysis of the literature on search of prospective Russian studies that would evaluate the probability of transition from one state to another, and consultations with experts have identified that currently conducted studies do not provide all the necessary probability of transition on the basis of national data. In the absence of local data for the model is acceptable to use the results of meta-analyzes of international studies. CONCLUSION: Markov model will allow for prediction the effectiveness of different interventions, including their socio-economic consequences. The created model will allow in the future to make changes with the appearance of the results of new studies or new data in order to improve modeling accuracy.