Abstract
Background: The decline of physical activity (PA) and the increased prevalence of overweight and obese children have been discussed worldwide. This study assessed the trends in the prevalence of overweight and obesity, PA and sedentary behaviour in Czech school-aged children. Methods: A cross-sectional questionnaire from the Czech Republic was administered in cycles in 2002, 2006 and 2010 under the Health Behaviour in School-Aged Children (HBSC) study. In the study, 14 219 children aged 11–15 years participated. Results: In comparison with 2002, there is a significant increase (P < 0.01) of obese and overweight boys in 2010. The same trend has been recorded in girls, except those in the 13-year-old group. There has been a significant decline (P < 0.05) in meeting PA recommendations in 11-year-old girls and boys and in 13-year-old girls when comparing the 2006 and 2002 data. In 2010, we found a non-significant increase or stagnation of the share of children meeting the PA recommendation compared with 2006. We found an increasing length of sedentary time for children. There were significant associations between>2 h being spent sitting by a TV or PC and consuming fruit and vegetables (negative associations) or sweets and sweetened lemonades (positive associations). Conclusions: An increasing percentage of obese or overweight children, increased sedentary time and a decline or stagnation of the proportion of children meeting recommendations for PA were found among Czech schoolchildren. Future research should evaluate PA recommendations with respect to gender, age and effective intervention approach to reduce the obesity incidence in childhood.
Introduction
Increased weight and obesity are important determinants influencing children’s health.1 Overweight and obese youth have an increased risk of becoming overweight or obese in adulthood.2 A timely analysis of the state and trends can foster interventions, especially school interventions,3 which can affect the future by reducing the number of overweight and obese adults. Understanding the changes in obesity prevalence requires additional studies.4
The increase in child obesity has been reported by the WHO, which argued that the proportion of overweight and obese children in the European countries is still increasing.1 There is great variability among European countries.5 For example, a study of seven European countries (Belgium, Greece, Hungary, Netherlands, Norway, Slovenia and Spain) showed that in 2010, 26% of boys and 22% of girls were overweight, and obesity was found in 5% of boys and 4% of girls. Greece, Hungary, Slovenia and Spain had a higher percentage of obesity than in Belgium, Netherlands and Norway.6
In the Czech Republic, a study of trends in adolescents aged 14–18 showed that at present, every 10th adolescent was either overweight or obese, which was roughly twice the rate in adolescents 10 years ago.7 A current US study has shown that in boys, there has been a significant increase in the prevalence of obesity during the past 10 years; in general the authors summarize that the rapid increase in obesity prevalence observed in the 1980s and 1990s has not continued into the present decade.4
Insufficient levels of physical activity (PA) and constant decreases of PA with age, as well as the increased number of overweight and obese children, have highlighted the importance of constant monitoring of changes in BMI and monitoring PA levels and its effects in childhood. A significant decrease in PA occurs mainly during adolescence in combination with a simultaneous increase in sedentary behaviour, most likely owing to the excessive use of computers.8–10 Sedentary behaviours, such as TV watching, may be more important predictors of overweight or obese children than the PA behaviour.11,12 Present studies show that correlates of time spent watching television and leisure computer use are different, and it is necessary to understand these differences to create more effective interventions.12,13
It is necessary to monitor and understand trends and changes in the occurrence of overweight and obese body habitus.4,14 We cannot neglect the economic impact of inactivity and obesity15,16 or the differences in the political–economic development in post-communist states, such as the Czech Republic, as opposed to economically well-developed Western countries. Post-communist countries (including the Czech Republic) have the tendency to repeat the PA patterns and behaviour that had been previously witnessed in Western countries in terms of the tendency to replicate the ‘negative’ development of decreased PA and increased overweight and obesity observed in economically developed countries.1,16
Monitoring of changes in the prevalence of overweight and obese body habitus, the trends and related behaviour in Czech children could provide critical information for future programmes aimed at healthy behaviour in children in the Czech Republic and further afield in other Central and Eastern Europe nations.
This study assessed the trends in the prevalence of overweight and obese body habitus, PA and sedentary behaviour of school-aged children in the Czech Republic.
Specific aims are as follows:
For each cohort, describe the proportion of children by their BMI categories (based on self-reported height and weight and international cut-off points);
To describe eating behaviour and sedentary behaviour (TV watching and computer use) for each cohort, gender and age; and
To examine the influence of sedentary behaviour, PA and eating habits on the prevalence overweight and obesity by gender.
Methods
This research is a part of the international study Health Behaviour in School-Aged Children (HBSC). HBSC is a collaborative cross-national research study, monitoring various health and lifestyle determinants in school-aged children. School-based anonymous surveys were conducted in the academic years ending in 2002, 2006 and 2010 according to a common research protocol.17 A national representative sample of children aged 11, 13 and 15 years was selected in these years. The completion of the HBSC questionnaire by children was voluntary. The final data inspection was performed by the International Databank, University of Bergen, Norway, in compliance with the international HBSC standards. Students’ response rates were >70% in all years. The data from 2002 included 5012 children (35%); in 2006 (34%) the analysis included 4782 children, and in 2010, 4425 children were eligible for the analysis. A brief historical overview of the methodological development of the HBSC survey is described in the study by Roberts et al.18
Items
To analyse the trends and associations, the questions in the HBSC questionnaire included performance of a PA for at least an hour a day in past seven days (one question; children were asked to report the number of days over the past week during which they were physically active for a total of at least 60 min per day, the question was preceded by explanatory text that defined moderate to vigorous PA as any activity that increases their heart rate and makes them get out breath for some time19); time spent sitting and watching television, PC—playing games and searching the internet, chatting (two questions in 2002 and three questions in 2006 and 2010 because the question regarding the time spent by the PC was divided into playing games, play station, searching the internet, chatting and homework); eating behaviour (consuming fruit, vegetables, sweets, sweet drinks, breakfast and working days); present weight and height and gender and age (age categories 11, 13 and 15 years). Overweight and obese body habitus was assessed using the BMI, age and sex according to the WHO growth reference for school-aged children, where overweight and obese body habitus represent the 85–97 and 97 percentiles, respectively, of age-differentiated BMI.20,21
Statistical analysis
The data analyses were conducted with IBM SPSS v. 19. Descriptive analyses were used to characterize the national sample. We evaluated trends in reports of the prevalence of overweight and obese body habitus, and meeting the recommendations for PA using a logistic regression (method Enter) analyses that modelled achievement to be overweight or obese body habitus. The achievement of the recommendation for PA (yes or no) was the dependent variable with year of survey cycle (2002; 2006; 2010) as the independent categorical variables. The association between the sedentary behaviour and eating behaviour was evaluated using a Spearman correlation coefficient. The influence of sedentary behaviour, PA eating habits on overweight and obesity was evaluated using a logistic regression analysis for boys and for girls.
Results
The analysis included data from 14 219 children, of which 49% were boys and 51% were girls. The participants’ ages ranged from 11 to 15 years (33% were 11, 33% were 13 and 34% were 15).
Secular trends in overweight and obesity
The logistic regression of the occurrence of overweight and obese body habitus (table 1) showed different trends in boys and girls. There is a gradual increase in overweight and obese boys when comparing years 2002, 2006 and 2010. The highest increase of incidence of overweight and obese body habitus between 2002 and 2010 was found in 13-year-old boys, and the lowest rate was in 15-year-old boys.
Table 1.
Variable | 2002 | 2006 | 2010 | 2006 vs. 2002 | 2010 vs. 2002 |
---|---|---|---|---|---|
%a | %a | %a | OR (95% CI) | OR (95% CI) | |
Boys | |||||
11years | 21.4 | 30.1 | 30.7 | 1.580 (1.259–1.984)*** | 1.625 (1.289–2.050)*** |
13 years | 17.1 | 21.2 | 27.3 | 1.300 (1.009–2.343)* | 1.817 (1.409–2.343)*** |
15 years | 16.6 | 16.8 | 22.3 | 1.010 (0.779–1.311) | 1.434 (1.112–1.851)** |
Girls | |||||
11 years | 10.7 | 23.1 | 15.7 | 2.541 (1.929–3.347)*** | 1.558 (1.155–2.102)** |
13 years | 8.7 | 16.4 | 11.0 | 2.061 (1.524–2.786)*** | 1.295 (0.934–1.795) |
15 years | 6.6 | 11.6 | 11.4 | 1.868 (1.322–2.640)*** | 1.830 (1.285–2.607)** |
Results from logistic regression.
a: Percentage of participants who are overweight or obese.
OR = odds ratio (cohorts from year 2002 are reference groups), CI = 95% confidence interval.
*P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001.
In girls, we recorded an increased incidence of overweight and obese body habitus from 2002 to 2010. Unlike in boys and in comparison with 2002, in 2006, there was an increase and later a slight decrease or stagnation in the number of overweight and obese girls. In total, in 2010, there were significantly more overweight and obese girls in comparison with 2002, except in the age category of 13-year-olds (table 1).
Trends in the achievement of the PA recommendations (at least 1 h per day moderate to vigorous intensity PA)
In 11-year-old boys, there was a decline in the proportion of individuals who met the recommendations for PA, especially in 2006. In 2010, 11-year-old boys were less likely to meet the recommendations for PA than in 2002 (table 2). In the age category of 13- and 15-year-old boys, significant changes were not observed in meeting PA goals between 2002 and 2010.
Table 2.
Variable | 2002 | 2006 | 2010 | 2006 vs. 2002 | 2010 vs. 2002 |
---|---|---|---|---|---|
%a | %a | %a | OR (95% CI) | OR (95% CI) | |
Boys | |||||
11 years | 34.3 | 24.6 | 28.0 | 0.625 (0.502–0.778)*** | 0.745 (0.599–0.926)** |
13 years | 32.1 | 27.9 | 29.5 | 0.822 (0.663–1.020) | 0.888 (0.709–1.111) |
15 years | 27.0 | 27.2 | 24.8 | 1.005 (0.809–1.250) | 0.888 (0.707–1.115) |
Girls | |||||
11 years | 27.3 | 18.7 | 23.3 | 0.614 (0.484–0.779)*** | 0.811 (0.644–1.021) |
13 years | 21.8 | 16.9 | 19.0 | 0.729 (0.570–0.932)* | 0.841 (0.662–1.068) |
15 years | 17.8 | 15.6 | 14.3 | 0.857 (0.662–1.108) | 0.769 (0.588–1.004) |
Results from logistic regression.
a: Percentage of participants who met recommendation for PA (at least 1 h per day moderate to vigorous intensity PA).
OR = odds ratio (cohort from year 2002 is reference group), CI = 95% confidence interval.
*P ≤ 0.05; **P ≤ 0.01, ***P ≤ 0.001.
The logistic regression showed that (table 2) 11- and 13-year-old girls in 2006 were less likely to meet recommendations for PA in comparison with 2002. Regardless of the age (11, 13 and 15 years), there were no significant changes in the proportion of girls meeting the health recommendations for PA. The results show that in comparison with 2002, we have recorded negative trends or stagnation in the proportion of children meeting the health recommendations for PA (table 2).
Figure 1 shows the trends of a slight decline or stagnation of boys and girls who report at least 1 h per day of moderate to vigorous intensity PA. On the other hand, the proportion of overweight/obese children increased from 2002 to 2010.
The analysis of the average number of days on which students carry out at least an hour of PA a day shows that in 2002 boys carried out PA an hour a day on average on 4.66 days and girls on 4.16 days. In 2010, boys reported an hour of PA a day on average on 4.52 days and girls on 4.05 days.
Sedentary and eating behaviour
Figure 2 shows a slight increase of sedentary behaviour from 2002 and 2010 in both boys and girls. The increase in sedentary time is observed on weekdays and weekends. There is an apparent increase of the time spent on the computer; in girls, this time increased from 0.7 h per weekday in 2002 to 3 h per weekday in 2010, and in boys, it increased from 1.6 h per weekday in 2002 to 4 h per weekday in 2010. The time spent watching television and videos remained stable at an average of 2.3 and 3.3 h a day during the monitored years. In 2010, boys are, on average, able to spend >7 h a day on the computer or watching TV on the weekends, and girls spend on the average slightly more than 6 h a day on the weekends engaging in these activities.
When analysing children’s responses concerning the daily consumption of selected foods, we found that the daily consumption of fruit, vegetables, sweets and sweet drinks has not changed considerably for boys or girls. Girls consume fruit and vegetables slightly more frequently than boys. Boys consume more soft drinks. The proportion of children who have breakfast daily on weekdays is similar in the monitored years and ranges from 52–59% in boys and 45–50% in girls.
Regardless of age, sex and the year of monitoring, there were small, but significant, associations found in the entire sample of participants between >2 h of sedentary television watching and consuming fruit (r = −0.053), vegetables (r = −0.058), sweets (r = 0.119) and sweetened lemonades (r = 0.134). Similar significant associations were found between spending >2 h using a PC and the consumption of fruit (r = −0.066), vegetables (r = −0.058), sweets (r = 0.92) and sweetened lemonades (r = 0.107).
Influence of sedentary behaviour, PA and eating habits on overweight and obesity
Girls who participated in the surveys in 2006 (OR = 2.28; P < 0.001; 95% CI 1.77–2.94) and 2010 (OR = 1.49; P = 0.002; 95% CI 1.15–1.92) were significantly more likely to be overweight or obese than girls who participated in the survey in 2002. As far as eating habits are concerned, girls who reported daily consumption of fruits (OR = 0.82; P = 0.03; 95% CI 0.68–0.98) were significantly less likely to be overweight or obese. On the contrary, girls who reported daily consumption of sweets (OR = 1.75; P < 0.001; 95% CI 1.47–2.08) or sweetened lemonades (OR = 1.46; P = 0.001; 95% CI 1.17–1.83) were more likely to be overweight or obese.
A significant interaction (by year of study) in logistic regression was detected in girls only in case of daily sweets consumption, where significant changes from 2002 to 2006 (OR = 1.71; P = 0.009; 95% CI 1.15–2.56) and from 2002 to 2010 (OR = 1.73; P = 0.02; 95% CI 1.12–2.69) were observed for daily consumption compared with less than daily consumption of sweets. Computer use, meeting PA recommendations, television watching and daily vegetable consumption were not significant regression analysis factors in girls.
Boys who participated in the surveys in 2010 (OR = 1.34; P = 0.006; 95% CI 1.09–1.65) were significantly more likely to be overweight or obese than girls who participated in the survey in 2002. Boys who spent >4 h watching television a day were roughly 1.5 times more likely to be overweight or obese (OR = 1.45; P < 0.001; 95% CI 1.20–1.76). As for eating habits, boys who reported daily consumption of sweets (OR = 1.54; P < 0.001; 95% CI 1.34–1.77) or sweetened lemonades (OR = 1.35; P < 0.001; 95% CI 1.14–1.60) were more likely to be overweight or obese than boys with less than daily consumption of sweets and sweetened lemonades.
A significant interaction (by year of study) in logistic regression was detected in boys only in case of daily sweets consumption, where significant changes from 2002 to 2006 were observed for daily consumption compared with less than daily consumption of sweets (OR = 1.44; P = 0.03; 95% CI 1.03–2.03).
Computer use, meeting PA recommendations and daily vegetable and fruit consumption were not significant regression analysis factors in boys.
Discussion
This study assessed the trends in PA and in the prevalence of overweight and obese school-aged children in the Czech Republic. The prevalence of overweight and obesity in most countries of Europe show rising trends.16 The economic cost of obesity and inactivity is as high as 6% of the total health care cost in some countries.15,16 Economic and political development is another factor influencing trends in overweight and obese body habitus and PA. In Russia, obesity increased by 38% during the transition from a planned to a market economy.22 Knowledge concerning trends in weight gain is important in understanding the new broad-based changes in technology.14
Our study shows an increase in the prevalence of overweight and obese body habitus in both boys and girls, except in 13-year-old girls. After 2006, there was a slight decrease in the prevalence of overweight and obese adolescents. In Danish boys, there was an increase of obesity in 1997–98, which was not present in the girls studied.23 A study of the trends in overweight and obese Australian children between 1985 and 2008 showed a plateau or slight increase in the percentage of boys and girls classified as overweight or obese.24 With respect to the socio-economic transition in Europe, there has been a marked increase in the prevalence of obesity among Eastern Europeans since the region began its transformation to democracy in 1989.25 The economic transformations that have taken place in the Czech Republic since 1989 have led to many positive as well as negative changes in dietary behaviour, PA and lifestyle.26 Although the current study shows that the generation of children monitored in 2010 are more likely to be overweight or obese than the generation in year 2002, we can see a certain plateau, which is consistent with weight stabilization observed over the recent years.27 National Anthropological Surveys of children and adolescent in the Czech republic from 1951, 1981, 1991 and 2001 showed an increase in obesity rates among children in recent years after a period of relatively low prevalence.26
There are various criteria for evaluating PA. The recommended level of PA for children and youths (aged 5–17) is ≥60 min of moderate to vigorous intensity PA daily.28,29 A more detailed recommendation mentions the realization of 45 min a day of moderate PA, and 15 min of vigorous PA is recommended for the prevention and treatment of obesity.30 Earlier studies recommended five or more sessions of moderate to vigorous PA per week.31,32 This study has shown the stagnation and decline in the proportion of children who meet the health recommendations daily for at least 1 h per day moderate to vigorous intensity PA. The proportion of Czech schoolchildren who achieved 1 h per day of moderate to vigorous intensity PA ranges from 14 to 35%. A slightly worse result is observed in German children, where 13.1% of girls and 17.4% of boys meet the daily PA guidelines.33 In a study of Czech children aged 14–18 that assessed the number of steps taken within a period of time, about half to three quarters of the adolescents met the health-related criterion for the achieved number of steps, with a decrease in PA amongst adolescents.7 There was an increase of leisure time activity identified between 1985 and 2004 in Australian boys but not in girls.34
This study has several limitations. The observed data were self-reported, and children’s responses about their weight, height or health-related behaviour are not objective. Nevertheless, there was a high association, r = 0.70, between self-reported height and weight and the measured height and weight.35 The results for sedentary behaviour could be influenced by changes in the questionnaire’s formatting. In 2002, the questionnaire included one question about time spent sitting at the PC, which included playing games, mailing, chatting and searching the internet. Since 2006, time spent by PC was addressed using two questions, one including games or videogame consoles, the other regarding PC use for chatting, searching, mailing or homework. This difference in approach could exaggerate the differences between the time spend sitting by the computer between the 2002 and 2006 questionnaires.
In summary, this study shows an increase in the prevalence of overweight and obese school-aged children along with stagnation or decline in the proportion of children meeting the recommendations for PA from 2010 to 2002. As opposed to 2002, 2010 showed an increased amount of screen time, especially in computer use. Significant associations were found in Czech children between >2 h being spent on the computer or watching television and daily consumption of fruit, vegetables, sweets and sweet drinks. Significant changes in sweets consumption contribute to the prevalence of overweight and obesity. Future research should evaluate the recommendations for PA with respect to gender and age. The support of PA and the reduction of obesity could be carried out as school interventions by including more physical education lessons in school programmes. More comprehensive studies should be performed to investigate these trends and should address the prevalence of overweight and obese body habitus, sedentary behaviour and PA.
Acknowledgements
The authors would like to thank the Czech HBSC team who took part in the preparation and the actual HBSC study in the Czech Republic.
Funding
ECOP project, “Strengthening scientific potential of the research teams in promoting physical activity at Palacky University,” reg. No. CZ.1.07/2.3.00/20.0171; IGA UP research project No. FTK_2013_006; IGA UP research project No. FTK_2013_020.
Conflicts of interest: None declared.
Key points.
The process of modernization and technological changes contribute to the increasing numbers of overweight and obese individuals.
In children, the sedentary time increases, and the level of physical activity decreases.
Few studies have focused on secular trends in overweight, obesity, physical activity and sedentary behaviour in Eastern or Central Europe.
This study shows an increase in the prevalence of overweight and obese school-aged children between 2002 and 2010 along with stagnation or a negative trend in the proportion of children meeting recommendations for physical activity and an increase in sedentary time on school days and weekend days.
References
- 1.Branca F, Nikogosian H, Lobstein T, editors. The Challenge of Obesity in the WHO European Region and the Strategies for Response: Summary. Copenhagen: WHO Regional Office for Europe; 2007. [Google Scholar]
- 2.Singh AS, Mulder C, Twisk JW, et al. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. 2008;9:474–88. doi: 10.1111/j.1467-789X.2008.00475.x. [DOI] [PubMed] [Google Scholar]
- 3.Sigmund E, El Ansari W, Sigmundová D. Does school-based physical activity decrease overweight and obesity in children aged 6–9years? A two-year non-randomized longitudinal intervention study in the Czech Republic. BMC Public Health. 2012;12:570. doi: 10.1186/1471-2458-12-570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among us children and adolescents, 1999-2010. JAMA. 2012;307:483–90. doi: 10.1001/jama.2012.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cattaneo A, Monasta L, Stamatakis E, et al. Overweight and obesity in infants and pre-school children in the European Union: a review of existing data. Obes Rev. 2010;11:389–98. doi: 10.1111/j.1467-789X.2009.00639.x. [DOI] [PubMed] [Google Scholar]
- 6.Brug J, van Stralen MM, te Velde SJ, et al. Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: The ENERGY-Project. PLoS One. 2012;7:e34742. doi: 10.1371/journal.pone.0034742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sigmundová D, El Ansari W, Sigmund E, Fromel K. Secular trends: a ten-year comparison of the amount and type of physical activity and inactivity of random samples of adolescents in the Czech Republic. BMC Public Health. 2011;11:731. doi: 10.1186/1471-2458-11-731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Allison KR, Adlaf EM, Dwyer JJM, et al. The decline in physical activity among adolescent students. Can J Public Health. 2007;98:97–100. doi: 10.1007/BF03404317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nelson MC, Neumark-Stzainer D, Hannan PJ, et al. Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatrics. 2006;118:e1627–34. doi: 10.1542/peds.2006-0926. [DOI] [PubMed] [Google Scholar]
- 10.van Mechelen W, Twisk JW, Post GB, et al. Physical activity of young people: the Amsterdam Longitudinal Growth and Health Study. Med Sci Sports Exerc. 2000;32:1610–6. doi: 10.1097/00005768-200009000-00014. [DOI] [PubMed] [Google Scholar]
- 11.Lazarou C, Soteriades ES. Children's physical activity, TV watching and obesity in Cyprus: the CYKIDS study. Eur J Public Health. 2010;20:70–7. doi: 10.1093/eurpub/ckp093. [DOI] [PubMed] [Google Scholar]
- 12.Sisson SB, Broyles ST, Baker BL, Katzmarzyk PT. Television, reading, and computer time: correlates of school-day leisure-time sedentary behavior and relationship with overweight in children in the U.S. J Phys Act Health. 2011;8(Suppl 2):S188–97. [PubMed] [Google Scholar]
- 13.Babey SH, Hastert TA, Wolstein J. Adolescent sedentary behaviors: Correlates differ for television viewing and computer use. J Adolesc Health. 2013;52:70–6. doi: 10.1016/j.jadohealth.2012.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lakdawalla D, Philipson T. The growth of obesity and technological change. Econ Hum Biol. 2009;7:283–93. doi: 10.1016/j.ehb.2009.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Katzmarzyk P, Janssen I. The economic costs associated with physical inactivity and obesity in Canada: An update. Can J Appl Physiol. 2004;29:90–115. doi: 10.1139/h04-008. [DOI] [PubMed] [Google Scholar]
- 16.Knai C, Suhrcke M, Lobstein T. Obesity in Eastern Europe: an overview of its health and economic implications. Econ Hum Biol. 2007;5:392–408. doi: 10.1016/j.ehb.2007.08.002. [DOI] [PubMed] [Google Scholar]
- 17.Currie C, Griebler R, Inchley J, et al. Health Behaviour in School-Aged Children (HBSC) Study Protocol: Background, Methodology and Mandatory Items for the 2009/10 Survey. Edinburgh CAHRU and Vienna: LBIHPR; 2011. [Google Scholar]
- 18.Roberts C, Freeman J, Samdal O, et al. The Health Behaviour in School-aged Children (HBSC) study: methodological developments and current tensions. Int J Public Health. 2009;54:140–50. doi: 10.1007/s00038-009-5405-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Currie C, Zanotti C, Morgan A, et al. Social Determinants of Health and Well-being Among Young People: Health Behaviour in School-Aged Children (HBSC) study: international report from the 2009/2010 survey. Copenhagen, Denmark: WHO Regional Office for Europe, 2012. [Google Scholar]
- 20.de Onis M, Onyango AW, Borghi E, et al. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7. doi: 10.2471/BLT.07.043497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.de Onis M, Lobstein T. Defining obesity risk status in the general childhood population: Which cut-offs should we use? Int J Pediatr Obes. 2010;5:458–60. doi: 10.3109/17477161003615583. [DOI] [PubMed] [Google Scholar]
- 22.Huffman SK, Rizov M. Determinants of obesity in transition economies: the case of Russia. Econ Hum Biol. 2007;5:379–91. doi: 10.1016/j.ehb.2007.07.001. [DOI] [PubMed] [Google Scholar]
- 23.Wedderkopp N, Froberg K, Hansen HS, Andersen LB. Secular trends in physical fitness and obesity in Danish 9-year-old girls and boys: Odense School Child Study and Danish substudy of the European Youth Heart Study. Scand J Med Sci Sports. 2004;14:150–5. doi: 10.1111/j.1600-0838.2004.00365.x. [DOI] [PubMed] [Google Scholar]
- 24.Olds TS, Tomkinson GR, Ferrar KE, Maher CA. Trends in the prevalence of childhood overweight and obesity in Australia between 1985 and 2008. Int J Obes. 2010;34:57–66. doi: 10.1038/ijo.2009.211. [DOI] [PubMed] [Google Scholar]
- 25.Rosin O. The economic causes of obesity: a survey. J Econ Surv. 2008;22:617–47. [Google Scholar]
- 26.Vignerová J, Humeníkova L, Brabec M, et al. Long-term changes in body weight, BMI, and adiposity rebound among children and adolescents in the Czech republic. Econ Hum Biol. 2007;5:409–25. doi: 10.1016/j.ehb.2007.07.003. [DOI] [PubMed] [Google Scholar]
- 27.Pettman TL, Magarey AM, Mastersson N, et al. Improving weight status in childhood: results from the eat well be active community programs. Int J Public Health. doi: 10.1007/s00038-013-0455-4. doi:10.1007/s00038-013-0455-4 [Epub ahead of print 26 Mar 2013] [DOI] [PubMed] [Google Scholar]
- 28.World Health Organisation. Global recommendations on physical activity for health. Geneva: Switzerland: WHO Press; 2010. [PubMed] [Google Scholar]
- 29.Janssen I, LeBlanc A. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:40. doi: 10.1186/1479-5868-7-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wittmeier KDM, Mollard RC, Kriellaars DJ. Physical activity intensity and risk of overweight and adiposity in children. Obesity. 2008;16:415–20. doi: 10.1038/oby.2007.73. [DOI] [PubMed] [Google Scholar]
- 31.Gordon-Larsen P, Nelson MC, Popkin BM. Longitudinal physical activity and sedentary behavior trends: adolescence to adulthood. Am J Prev Med. 2004;27:277–83. doi: 10.1016/j.amepre.2004.07.006. [DOI] [PubMed] [Google Scholar]
- 32.Currie C, Roberts C, Morgan A, et al. Young people's health in context: international report from the HBSC 2001/02 survey (Health policy for children and adolescents, No.4). Copenhagen: WHO Regional Office for Europe, 2004. [Google Scholar]
- 33.Jekauc D, Reimers A, Wagner M, Woll A. Prevalence and socio-demographic correlates of the compliance with the physical activity guidelines in children and adolescents in Germany. BMC Public Health. 2012;12:714. doi: 10.1186/1471-2458-12-714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lewis N, Dollman J, Dale M. Trends in physical activity behaviours and attitudes among South Australian youth between 1985 and 2004. J Sci Med Sport. 2007;10:418–27. doi: 10.1016/j.jsams.2006.10.005. [DOI] [PubMed] [Google Scholar]
- 35.Knai C, Lobstein T, Darmon N, et al. Socioeconomic patterning of childhood overweight status in Europe. Int J Environ Res Public Health. 2012;9:1472–89. doi: 10.3390/ijerph9041472. [DOI] [PMC free article] [PubMed] [Google Scholar]