BackgroundIn developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries.MethodsData from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression.ResultsEducation and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group.ConclusionsPatterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates.

BackgroundThere have been previous representative nutritional status surveys conducted in Hungary, but this is the first one that examines overweight and obesity prevalence according to the level of urbanization and in different geographic regions among 6–8-year-old children. We also assessed whether these variations were different by sex.MethodsThis survey was part of the fourth data collection round of World Health Organization (WHO) Childhood Obesity Surveillance Initiative which took place during the academic year 2016/2017. The representative sample was determined by two-stage cluster sampling. A total of 5332 children (48.4% boys; age 7.54 ± 0.64 years) were measured from all seven geographic regions including urban (at least 500 inhabitants per square kilometer; n = 1598), semi-urban (100 to 500 inhabitants per square kilometer; n = 1932) and rural (less than 100 inhabitants per square kilometer; n = 1802) areas.ResultsUsing the WHO reference, prevalence of overweight and obesity within the whole sample were 14.2, and 12.7%, respectively. According to the International Obesity Task Force (IOTF) reference, rates were 12.6 and 8.6%. Northern Hungary and Southern Transdanubia were the regions with the highest obesity prevalence of 11.0 and 12.0%, while Central Hungary was the one with the lowest obesity rate (6.1%). The prevalence of overweight and obesity tended to be higher in rural areas (13.0 and 9.8%) than in urban areas (11.9 and 7.0%). Concerning differences in sex, girls had higher obesity risk in rural areas (OR = 2.0) but boys did not. Odds ratios were 2.0–3.4 in different regions for obesity compared to Central Hungary, but only among boys.ConclusionsOverweight and obesity are emerging problems in Hungary. Remarkable differences were observed in the prevalence of obesity by geographic regions. These variations can only be partly explained by geographic characteristics.Trial registrationStudy protocol was approved by the Scientific and Research Ethics Committee of the Medical Research Council (61158–2/2016/EKU).

Aims: To describe the prevalence of thinness, overweight, and obesity in Hungarian children (age 7.0-7.9 years) according to different classifications, to assess the progress between 2010 and 2016, and to investigate whether tendencies differ according to gender. Methods: A national representative sample was generated by two-stage cluster sampling, and a total of 2,651 children (50.9% boys; age 7.49 ± 0.3 years) were measured (weight and height) in October 2016. Population estimates were calculated using the WHO, IOTF, and national cut-offs. Results: Prevalence of thinness (including grade 1 and 2) was 12.6% based on the IOTF criteria and 15.6% based on the WHO definition. 22.5% of children were identified as overweight or obese according to the IOTF classification, compared with 28.4% according to the WHO definition. Between 2010 and 2016, each classification indicated possible stability in overweight and obesity prevalence. In contrast, the prevalence of thinness grade 2 almost doubled in 6 years according to all definitions (p < 0.05). No significant gender difference was observed in the progress. Conclusion: Overweight and obesity appeared to be stable over 6 years, but we detected growing thinness rates. Routine collection of high-quality data that are based on standardized and comparable methods is essential to monitor the childhood obesity problem.

Besides interventions of population level for tackling obesity, individual preventive measures are indispensable.

The identified JANPA framework of good practice criteria complements the existing frameworks by focussing on kindergarten- and school-based initiatives and provides guidance for evaluators, programme planners and decision makers bearing in mind that a one-size-fits-all approach is inadequate. To ensure the effectiveness of future practices, programme planners should endeavour to meet at least the nine JANPA core criteria.